diff --git a/docs/dev/index.md b/docs/dev/index.md
index c5f5d1fb..1521cfe1 100644
--- a/docs/dev/index.md
+++ b/docs/dev/index.md
@@ -1,3 +1,3 @@
-# Coning soon
+# Coming soon
 
 Developer documentation is coming soon. Stay tuned! 
\ No newline at end of file
diff --git a/docs/img/0.28.0/conversation-context-investigation-settings.png b/docs/img/0.28.0/conversation-context-investigation-settings.png
new file mode 100644
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diff --git a/docs/img/0.28.0/conversation-general-settings.png b/docs/img/0.28.0/conversation-general-settings.png
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diff --git a/docs/img/0.28.0/conversation-generation-settings.png b/docs/img/0.28.0/conversation-generation-settings.png
new file mode 100644
index 00000000..6578c8dd
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diff --git a/docs/img/0.28.0/director-dynamic-actions-settings.png b/docs/img/0.28.0/director-dynamic-actions-settings.png
new file mode 100644
index 00000000..4c45291c
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new file mode 100644
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diff --git a/docs/img/0.28.0/quick-action-generated-text.png b/docs/img/0.28.0/quick-action-generated-text.png
new file mode 100644
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diff --git a/docs/img/0.28.0/quick-action.png b/docs/img/0.28.0/quick-action.png
new file mode 100644
index 00000000..2a0eb67c
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diff --git a/docs/img/0.28.0/summarizer-general-settings.png b/docs/img/0.28.0/summarizer-general-settings.png
new file mode 100644
index 00000000..3ac4e4c8
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diff --git a/docs/img/0.28.0/summarizer-layered-history-settings.png b/docs/img/0.28.0/summarizer-layered-history-settings.png
new file mode 100644
index 00000000..3ab0ebc8
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diff --git a/docs/user-guide/agents/conversation/settings.md b/docs/user-guide/agents/conversation/settings.md
index 7babf4e3..43da72aa 100644
--- a/docs/user-guide/agents/conversation/settings.md
+++ b/docs/user-guide/agents/conversation/settings.md
@@ -1,6 +1,8 @@
 # Settings
 
-![Conversation agent settings](/talemate/img/0.26.0/conversation-agent-settings.png)
+## General
+
+![Conversation agent general settings](/talemate/img/0.28.0/conversation-general-settings.png)
 
 !!! note "Inference perameters"
     Inference parameters are NOT configured through any individual agent.
@@ -11,33 +13,6 @@
 
 The text-generation client to use for conversation generation.
 
-##### Generation settings
-
-Checkbox that exposes further settings to configure the conversation agent generation.
-
-##### Format
-
-The dialogue format as the AI will see it.
-
-This currently comes in two choices: 
-
-- `Screenplay`
-- `Chat (legacy)`
-
-Visually this will make no difference to what you see, it may however affect how the AI interprets the dialogue.
-
-##### Generation Length
-
-The maximum length of the generated dialogue. (tokens)
-
-##### Instructions
-
-Extra instructions for the generation. This should be short and generic as it will be applied for all characters.
-
-##### Jiggle
-
-The amount of randomness to apply to the generation. This can help to avoid repetitive responses.
-
 ##### Auto Break Repetition
 
 If checked and talemate detects a repetitive response (based on a threshold), it will automatically re-generate the resposne with increased randomness parameters.
@@ -62,7 +37,68 @@ If checked will inject relevant information into the context using relevancy thr
 
 What method to use for long term memory selection
 
-- `Context queries based on recent context` - will take the last 3 messagews in the scene and select relevant context from them. This is the fastes method, but may not always be the most relevant.
-- `Context queries generated by AI` - will generaste a set of context queries based on the current scene and select relevant context from them. This is slower, but may be more relevant.
+- `Context queries based on recent context` - will take the last 3 messages in the scene and select relevant context from them. This is the fastest method, but may not always be the most relevant.
+- `Context queries generated by AI` - will generate a set of context queries based on the current scene and select relevant context from them. This is slower, but may be more relevant.
 - `AI compiled questions and answers` - will use the AI to generate a set of questions and answers based on the current scene and select relevant context from them. This is the slowest, and not necessarily better than the other methods.
 
+## Generation
+
+![Conversation agent generation settings](/talemate/img/0.28.0/conversation-generation-settings.png)
+
+##### Format
+
+The dialogue format as the AI will see it.
+
+This currently comes in two choices: 
+
+- `Screenplay`
+- `Chat (legacy)`
+
+Visually this will make no difference to what you see, it may however affect how the AI interprets the dialogue.
+
+##### Generation Length
+
+The maximum length of the generated dialogue. (tokens)
+
+##### Jiggle
+
+The amount of randomness to apply to the generation. This can help to avoid repetitive responses.
+
+##### Task Instructions
+
+Extra instructions for the generation. This should be short and generic as it will be applied for all characters. This will be appended to the existing task instrunctions in the conversation prompt BEFORE the conversation history.
+
+##### Actor Instructions
+
+General, broad isntructions for ALL actors in the scene. This will be appended to the existing actor instructions in the conversation prompt AFTER the conversation history.
+
+##### Actor Instructions Offset
+
+If > 0 will offset the instructions for the actor (both broad and character specific) into the history by that many turns. Some LLMs struggle to generate coherent continuations if the scene is interrupted by instructions right before the AI is asked to generate dialogue. This allows to shift the instruction backwards.
+
+## Context Investigation
+
+A new :material-flask: experimental feature introduced in `0.28.0` alongside the [layered history summarization](/talemate/user-guide/agents/summarizer/settings#layered-history).
+
+If enabled, the AI will investigate the history for relevant information to include in the conversation prompt. Investigation works by digging through the various layers of the history, and extracting relevant information based on the final message in the scene.
+
+This can be **very slow** depending on how many layers are enabled and generated. It can lead to a great improvement in the quality of the generated dialogue, but it currently still is a mixed bag. A strong LLM is almost a hard requirement for it produce anything useful. 22B+ models are recommended.
+
+![Conversation agent context investigation settings](/talemate/img/0.28.0/conversation-context-investigation-settings.png)
+
+!!! note "Tips"
+    - This is experimental and results WILL vary in quality.
+    - Requires a strong LLM. 22B+ models are recommended.
+    - Good, clean summarization of the history is a hard requirement for this to work well. Regenerate your history if it's messy. (World Editor -> History -> Regenerate)
+
+##### Enable context investigation
+
+Enable or disable the context investigation feature.
+
+##### Trigger
+
+Allows you to specify when the context investigation should be triggered.
+
+- Agent decides - the AI will decide when to trigger the context investigation based on the scene.
+- Only when a question is asked - the AI will only trigger the context investigation when a question is asked.
+
diff --git a/docs/user-guide/agents/director/settings.md b/docs/user-guide/agents/director/settings.md
index 0d424dc0..101994e1 100644
--- a/docs/user-guide/agents/director/settings.md
+++ b/docs/user-guide/agents/director/settings.md
@@ -1,6 +1,8 @@
 # Settings
 
-![Director agent settings](/talemate/img/0.26.0/director-agent-settings.png)
+## General
+
+![Director agent settings](/talemate/img/0.28.0/director-general-settings.png)
 
 ##### Direct
 
@@ -31,4 +33,34 @@ When an actor is given a direction, how is it to be injected into the context
 
 If `Direction` is selected, the actor will be given the direction as a direct instruction, by the director.
 
-If `Inner Monologue` is selected, the actor will be given the direction as a thought.
\ No newline at end of file
+If `Inner Monologue` is selected, the actor will be given the direction as a thought.
+
+## Dynamic Actions
+
+Dynamic actions are introduced in `0.28.0` and allow the director to generate a set of clickable choices for the player to choose from.
+
+![Director agent dynamic actions settings](/talemate/img/0.28.0/director-dynamic-actions-settings.png)
+
+##### Enable Dynamic Actions
+
+If enabled the director will generate a set of clickable choices for the player to choose from.
+
+##### Chance
+
+The chance that the director will generate a set of dynamic actions when its the players turn.
+
+This ranges from `0` to `1`. `0` means the director will never generate dynamic actions, `1` means the director will always generate dynamic actions.
+
+##### Number of Actions
+
+The number of actions to generate.
+
+##### Never auto progress on action selection
+
+If this is checked and you pick an action, the scene will NOT automatically pass the turn to the next actor.
+
+##### Instructions
+
+Allows you to provide extra specific instructions to director on how to generate the dynamic actions.
+
+For example you could provide a list of actions to choose from, or a list of actions to avoid. Or specify that you always want a certain action to be included.
\ No newline at end of file
diff --git a/docs/user-guide/agents/summarizer/settings.md b/docs/user-guide/agents/summarizer/settings.md
index 3d8307ae..bc2296a0 100644
--- a/docs/user-guide/agents/summarizer/settings.md
+++ b/docs/user-guide/agents/summarizer/settings.md
@@ -1,6 +1,10 @@
 # Settings
 
-![Summarizer agent settings](/talemate/img/0.26.0/summarizer-agent-settings.png)
+## General
+
+General summarization settings.
+
+![Summarizer agent general settings](/talemate/img/0.28.0/summarizer-general-settings.png)
 
 ##### Summarize to long term memory archive
 
@@ -21,4 +25,37 @@ The method used to summarize the scene dialogue.
 
 ###### Use preceeding summaries to strengthen context
 
-Help the AI summarize by including the last few summaries as additional context. Some models may incorporate this context into the new summary directly, so if you find yourself with a bunch of similar history entries, try setting this to 0.
\ No newline at end of file
+Help the AI summarize by including the last few summaries as additional context. Some models may incorporate this context into the new summary directly, so if you find yourself with a bunch of similar history entries, try setting this to 0.
+
+## Layered History
+
+Settings for the layered history summarization.
+
+Talemate `0.28.0` introduces a new feature called layered history summarization. This feature allows the AI to summarize the scene dialogue in layers, with each layer providing a different level of detail.
+
+Not only does this allow to keep more context in the history, albeit with earlier layers containing less detail, but it also allows us to do history investgations to extract relevant information from the history during conversation and narration prompts.
+
+Right now this is considered an experimental feature, and whether or not its feasible in the long term will depend on how well it works in practice.
+
+![Summarizer agent layered history settings](/talemate/img/0.28.0/summarizer-layered-history-settings.png)
+
+##### Enable layered history
+
+Allows you to enable or disable the layered history summarization.
+
+!!! note "Enabling this on big scenes"
+    If you enable this on a big established scene, the next time the summarization agent runs, it will take a while to process the entire history and generate the layers.
+
+##### Token threshold
+
+The number of tokens in the layer that will trigger the summarization process to the next layer.
+
+##### Maximum number of layers
+
+The maximum number of layers that can be created. Raising this limit past 3 is likely to have dimishing returns. We have observed that usually by layer 3 you are down to single sentences for individual events, making it difficult to summarize further in a meaningful way.
+
+##### Maximum tokens to process
+
+Smaller LLMs may struggle with accurately summarizing long texts. This setting will split the text into chunks and summarize each chunk separately, then stitch them together in the next layer. If you're using a strong LLM (70B+), you can try setting this to be the same as the threshold.
+
+Setting this higher than the token threshold does nothing.
\ No newline at end of file
diff --git a/docs/user-guide/agents/voice/elevenlabs.md b/docs/user-guide/agents/voice/elevenlabs.md
index 658fcdda..828f41db 100644
--- a/docs/user-guide/agents/voice/elevenlabs.md
+++ b/docs/user-guide/agents/voice/elevenlabs.md
@@ -4,4 +4,4 @@ If you have not configured the ElevenLabs TTS API, the voice agent will show tha
 
 ![Elevenlaps api key missing](/talemate/img/0.26.0/voice-agent-missing-api-key.png)
 
-See the [ElevenLabs API setup](/apis/elevenlabs.md) for instructions on how to set up the API key.
\ No newline at end of file
+See the [ElevenLabs API setup](/talemate/user-guide/apis/elevenlabs/) for instructions on how to set up the API key.
\ No newline at end of file
diff --git a/docs/user-guide/interacting.md b/docs/user-guide/interacting.md
index 078f11cd..1f16d908 100644
--- a/docs/user-guide/interacting.md
+++ b/docs/user-guide/interacting.md
@@ -34,6 +34,16 @@ Version `0.26` introduces a new `act-as` feature, which allows you to act as ano
 
 ![Dialogue input - act as narrator](/talemate/img/0.26.0/interacting-input-act-as-narrator.png)
 
+### Quick action
+
+If you start a message with the `@` character you can have the AI generate the response based on what action you are taking. This is useful if you want to quickly generate a response without having to type out the full action and narration yourself.
+
+![Quick action](/talemate/img/0.28.0/quick-action.png)
+
+![Quick action generated text](/talemate/img/0.28.0/quick-action-generated-text.png)
+
+This functionality was added in version `0.28.0`
+
 ### Autocomplete
 
 When typing out your action / dialogue, you can hit the `ctrl+enter` key combination to generate an autocompletion of your current text. 
diff --git a/docs/user-guide/saving.md b/docs/user-guide/saving.md
index e080a03f..308d2685 100644
--- a/docs/user-guide/saving.md
+++ b/docs/user-guide/saving.md
@@ -28,4 +28,10 @@ Some scenes start out with a locked save file. This is so that this particular s
 
 
 !!! info
-    Alternatively you can also unlock the save file through the [Scene editor](/talemate/user-guide/world-editor/scene/settings) found in **:material-earth-box: World Editor** :material-arrow-right: **:material-script: Scene** :material-arrow-right: **:material-cogs: Settings**.
\ No newline at end of file
+    Alternatively you can also unlock the save file through the [Scene editor](/talemate/user-guide/world-editor/scene/settings) found in **:material-earth-box: World Editor** :material-arrow-right: **:material-script: Scene** :material-arrow-right: **:material-cogs: Settings**.
+
+## Forking a copy of a scene
+
+You can create a new copy of a scene from any message in the scene by clicking the :material-source-fork: **Fork** button underneath the message.
+
+All progress after the target message will be removed and a new scene will be created with the previous messages.
\ No newline at end of file
diff --git a/poetry.lock b/poetry.lock
index 68080a01..9420a912 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -16,139 +16,125 @@ pycares = ">=4.0.0"
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.0"
+version = "2.4.3"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"},
+    {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
+    {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.10.5"
+version = "3.11.7"
 description = "Async http client/server framework (asyncio)"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
 aiodns = {version = ">=3.2.0", optional = true, markers = "(sys_platform == \"linux\" or sys_platform == \"darwin\") and extra == \"speedups\""}
 aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
-async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
+async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 Brotli = {version = "*", optional = true, markers = "platform_python_implementation == \"CPython\" and extra == \"speedups\""}
 brotlicffi = {version = "*", optional = true, markers = "platform_python_implementation != \"CPython\" and extra == \"speedups\""}
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.0,<2.0"
+propcache = ">=0.2.0"
+yarl = ">=1.17.0,<2.0"
 
 [package.extras]
 speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiohttp-retry"
-version = "2.8.3"
+version = "2.9.1"
 description = "Simple retry client for aiohttp"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "aiohttp_retry-2.8.3-py3-none-any.whl", hash = "sha256:3aeeead8f6afe48272db93ced9440cf4eda8b6fd7ee2abb25357b7eb28525b45"},
-    {file = "aiohttp_retry-2.8.3.tar.gz", hash = "sha256:9a8e637e31682ad36e1ff9f8bcba912fcfc7d7041722bc901a4b948da4d71ea9"},
+    {file = "aiohttp_retry-2.9.1-py3-none-any.whl", hash = "sha256:66d2759d1921838256a05a3f80ad7e724936f083e35be5abb5e16eed6be6dc54"},
+    {file = "aiohttp_retry-2.9.1.tar.gz", hash = "sha256:8eb75e904ed4ee5c2ec242fefe85bf04240f685391c4879d8f541d6028ff01f1"},
 ]
 
 [package.dependencies]
@@ -181,13 +167,13 @@ files = [
 
 [[package]]
 name = "anthropic"
-version = "0.34.2"
+version = "0.39.0"
 description = "The official Python library for the anthropic API"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "anthropic-0.34.2-py3-none-any.whl", hash = "sha256:f50a628eb71e2c76858b106c8cbea278c45c6bd2077cb3aff716a112abddc9fc"},
-    {file = "anthropic-0.34.2.tar.gz", hash = "sha256:808ea19276f26646bfde9ee535669735519376e4eeb301a2974fc69892be1d6e"},
+    {file = "anthropic-0.39.0-py3-none-any.whl", hash = "sha256:ea17093ae0ce0e1768b0c46501d6086b5bcd74ff39d68cd2d6396374e9de7c09"},
+    {file = "anthropic-0.39.0.tar.gz", hash = "sha256:94671cc80765f9ce693f76d63a97ee9bef4c2d6063c044e983d21a2e262f63ba"},
 ]
 
 [package.dependencies]
@@ -197,7 +183,6 @@ httpx = ">=0.23.0,<1"
 jiter = ">=0.4.0,<1"
 pydantic = ">=1.9.0,<3"
 sniffio = "*"
-tokenizers = ">=0.13.0"
 typing-extensions = ">=4.7,<5"
 
 [package.extras]
@@ -206,13 +191,13 @@ vertex = ["google-auth (>=2,<3)"]
 
 [[package]]
 name = "anyio"
-version = "4.6.0"
+version = "4.6.2.post1"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"},
-    {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"},
+    {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
+    {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
 ]
 
 [package.dependencies]
@@ -223,7 +208,7 @@ typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -264,13 +249,13 @@ wrapt = [
 
 [[package]]
 name = "async-timeout"
-version = "4.0.3"
+version = "5.0.1"
 description = "Timeout context manager for asyncio programs"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
-    {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
+    {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
+    {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
 ]
 
 [[package]]
@@ -329,38 +314,36 @@ files = [
 
 [[package]]
 name = "bcrypt"
-version = "4.2.0"
+version = "4.2.1"
 description = "Modern password hashing for your software and your servers"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
@@ -390,33 +373,33 @@ lxml = ["lxml"]
 
 [[package]]
 name = "black"
-version = "24.8.0"
+version = "24.10.0"
 description = "The uncompromising code formatter."
 optional = false
-python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -430,34 +413,34 @@ typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
+d = ["aiohttp (>=3.10)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "blinker"
-version = "1.8.2"
+version = "1.9.0"
 description = "Fast, simple object-to-object and broadcast signaling"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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+    {file = "blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf"},
 ]
 
 [[package]]
 name = "boto3"
-version = "1.35.24"
+version = "1.35.67"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "boto3-1.35.67-py3-none-any.whl", hash = "sha256:db4d8736ef9b0f1972740d464d77edbdf35cd9dcddf9291c645691920f8fa50d"},
+    {file = "boto3-1.35.67.tar.gz", hash = "sha256:4eb793c45123fbca1b2b152ce0d18272d19126cf89809cd6698bf2dfc66270fb"},
 ]
 
 [package.dependencies]
-botocore = ">=1.35.24,<1.36.0"
+botocore = ">=1.35.67,<1.36.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -466,13 +449,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.24"
+version = "1.35.67"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -481,17 +464,17 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.21.5)"]
+crt = ["awscrt (==0.22.0)"]
 
 [[package]]
 name = "bracex"
-version = "2.5"
+version = "2.5.post1"
 description = "Bash style brace expander."
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "bracex-2.5.tar.gz", hash = "sha256:0725da5045e8d37ea9592ab3614d8b561e22c3c5fde3964699be672e072ab611"},
+    {file = "bracex-2.5.post1-py3-none-any.whl", hash = "sha256:13e5732fec27828d6af308628285ad358047cec36801598368cb28bc631dbaf6"},
+    {file = "bracex-2.5.post1.tar.gz", hash = "sha256:12c50952415bfa773d2d9ccb8e79651b8cdb1f31a42f6091b804f6ba2b4a66b6"},
 ]
 
 [[package]]
@@ -627,13 +610,13 @@ cffi = ">=1.0.0"
 
 [[package]]
 name = "build"
-version = "1.2.2"
+version = "1.2.2.post1"
 description = "A simple, correct Python build frontend"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "build-1.2.2.tar.gz", hash = "sha256:119b2fb462adef986483438377a13b2f42064a2a3a4161f24a0cca698a07ac8c"},
+    {file = "build-1.2.2.post1-py3-none-any.whl", hash = "sha256:1d61c0887fa860c01971625baae8bdd338e517b836a2f70dd1f7aa3a6b2fc5b5"},
+    {file = "build-1.2.2.post1.tar.gz", hash = "sha256:b36993e92ca9375a219c99e606a122ff365a760a2d4bba0caa09bd5278b608b7"},
 ]
 
 [package.dependencies]
@@ -753,101 +736,116 @@ pycparser = "*"
 
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-version = "3.3.2"
+version = "3.4.0"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
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 ]
 
 [[package]]
@@ -893,13 +891,13 @@ numpy = "*"
 
 [[package]]
 name = "chromadb"
-version = "0.5.7"
+version = "0.5.20"
 description = "Chroma."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -948,17 +946,16 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "cohere"
-version = "5.9.4"
+version = "5.11.4"
 description = ""
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
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 [package.dependencies]
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 fastavro = ">=1.9.4,<2.0.0"
 httpx = ">=0.21.2"
 httpx-sse = "0.4.0"
@@ -970,6 +967,9 @@ tokenizers = ">=0.15,<1"
 types-requests = ">=2.0.0,<3.0.0"
 typing_extensions = ">=4.0.0"
 
+[package.extras]
+aws = ["boto3 (>=1.34.0,<2.0.0)", "sagemaker (>=2.232.1,<3.0.0)"]
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -1000,43 +1000,38 @@ cron = ["capturer (>=2.4)"]
 
 [[package]]
 name = "cryptography"
-version = "42.0.8"
+version = "43.0.3"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -1049,25 +1044,25 @@ nox = ["nox"]
 pep8test = ["check-sdist", "click", "mypy", "ruff"]
 sdist = ["build"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["certifi", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
+test = ["certifi", "cryptography-vectors (==43.0.3)", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
 test-randomorder = ["pytest-randomly"]
 
 [[package]]
 name = "deprecated"
-version = "1.2.14"
+version = "1.2.15"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
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 [package.dependencies]
 wrapt = ">=1.10,<2"
 
 [package.extras]
-dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "jinja2 (>=3.0.3,<3.1.0)", "setuptools", "sphinx (<2)", "tox"]
 
 [[package]]
 name = "distro"
@@ -1082,21 +1077,21 @@ files = [
 
 [[package]]
 name = "dnspython"
-version = "2.6.1"
+version = "2.7.0"
 description = "DNS toolkit"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
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-dnssec = ["cryptography (>=41)"]
+dev = ["black (>=23.1.0)", "coverage (>=7.0)", "flake8 (>=7)", "hypercorn (>=0.16.0)", "mypy (>=1.8)", "pylint (>=3)", "pytest (>=7.4)", "pytest-cov (>=4.1.0)", "quart-trio (>=0.11.0)", "sphinx (>=7.2.0)", "sphinx-rtd-theme (>=2.0.0)", "twine (>=4.0.0)", "wheel (>=0.42.0)"]
+dnssec = ["cryptography (>=43)"]
 doh = ["h2 (>=4.1.0)", "httpcore (>=1.0.0)", "httpx (>=0.26.0)"]
-doq = ["aioquic (>=0.9.25)"]
-idna = ["idna (>=3.6)"]
+doq = ["aioquic (>=1.0.0)"]
+idna = ["idna (>=3.7)"]
 trio = ["trio (>=0.23)"]
 wmi = ["wmi (>=1.5.1)"]
 
@@ -1113,12 +1108,13 @@ files = [
 
 [[package]]
 name = "durationpy"
-version = "0.7"
+version = "0.9"
 description = "Module for converting between datetime.timedelta and Go's Duration strings."
 optional = false
 python-versions = "*"
 files = [
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 [[package]]
@@ -1152,13 +1148,13 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "fastapi"
-version = "0.115.0"
+version = "0.115.5"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -1173,7 +1169,7 @@ pydantic-extra-types = {version = ">=2.0.0", optional = true, markers = "extra =
 pydantic-settings = {version = ">=2.0.0", optional = true, markers = "extra == \"all\""}
 python-multipart = {version = ">=0.0.7", optional = true, markers = "extra == \"all\""}
 pyyaml = {version = ">=5.3.1", optional = true, markers = "extra == \"all\""}
-starlette = ">=0.37.2,<0.39.0"
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 typing-extensions = ">=4.8.0"
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 uvicorn = {version = ">=0.12.0", extras = ["standard"], optional = true, markers = "extra == \"all\""}
@@ -1275,99 +1271,114 @@ files = [
 
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 python-versions = ">=3.8"
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 description = "File-system specification"
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 python-versions = ">=3.8"
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@@ -1417,13 +1428,13 @@ dev = ["flake8", "markdown", "twine", "wheel"]
 
 [[package]]
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 requests = ">=2.18.0,<3.0.0.dev0"
 
 [package.extras]
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 grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
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 [package.dependencies]
@@ -1471,13 +1483,13 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
 [[package]]
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-version = "1.67.1"
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 [package.dependencies]
@@ -1495,53 +1507,53 @@ shapely = "<3.0.0dev"
 
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 vizier = ["google-vizier (>=0.1.6)"]
 xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
 
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 name = "google-cloud-bigquery"
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 description = "Google BigQuery API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
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 google-auth = ">=2.14.1,<3.0.0dev"
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 packaging = ">=20.0.0"
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 requests = ">=2.21.0,<3.0.0dev"
 
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@@ -1567,13 +1579,13 @@ grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
 
 [[package]]
 name = "google-cloud-resource-manager"
-version = "1.12.5"
+version = "1.13.1"
 description = "Google Cloud Resource Manager API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -1665,13 +1677,13 @@ requests = ["requests (>=2.18.0,<3.0.0dev)"]
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.65.0"
+version = "1.66.0"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1683,13 +1695,13 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
 [[package]]
 name = "groq"
-version = "0.11.0"
+version = "0.12.0"
 description = "The official Python library for the groq API"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1718,77 +1730,86 @@ protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4
 
 [[package]]
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 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
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 [[package]]
 name = "h11"
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 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
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 ]
 
 [package.extras]
-test = ["Cython (>=0.29.24,<0.30.0)"]
+test = ["Cython (>=0.29.24)"]
 
 [[package]]
 name = "httpx"
@@ -1908,13 +1936,13 @@ files = [
 
 [[package]]
 name = "huggingface-hub"
-version = "0.25.0"
+version = "0.26.2"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -1927,16 +1955,16 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
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+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
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 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
-inference = ["aiohttp", "minijinja (>=1.0)"]
-quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
+inference = ["aiohttp"]
+quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.5.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
@@ -1970,22 +1998,26 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2
 
 [[package]]
 name = "importlib-metadata"
-version = "8.4.0"
+version = "8.5.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-zipp = ">=0.5"
+zipp = ">=3.20"
 
 [package.extras]
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+cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
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+type = ["pytest-mypy"]
 
 [[package]]
 name = "importlib-resources"
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+version = "0.7.2"
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-[package.dependencies]
-six = "*"
-
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 version = "5.13.2"
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 [[package]]
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 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
 [[package]]
@@ -3078,14 +3121,14 @@ files = [
 
 [[package]]
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+version = "12.6.85"
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 python-versions = ">=3"
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 [[package]]
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 [[package]]
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-version = "1.19.2"
+version = "1.20.1"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
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 python-versions = "*"
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 ]
 
 [package.dependencies]
@@ -3159,13 +3198,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.47.0"
+version = "1.55.0"
 description = "The official Python library for the openai API"
 optional = false
-python-versions = ">=3.7.1"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3183,231 +3222,233 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.27.0"
+version = "1.28.2"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 deprecated = ">=1.2.6"
-importlib-metadata = ">=6.0,<=8.4.0"
+importlib-metadata = ">=6.0,<=8.5.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.27.0"
+version = "1.28.2"
 description = "OpenTelemetry Protobuf encoding"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-opentelemetry-proto = "1.27.0"
+opentelemetry-proto = "1.28.2"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-grpc"
-version = "1.27.0"
+version = "1.28.2"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 deprecated = ">=1.2.6"
 googleapis-common-protos = ">=1.52,<2.0"
-grpcio = ">=1.0.0,<2.0.0"
+grpcio = ">=1.63.2,<2.0.0"
 opentelemetry-api = ">=1.15,<2.0"
-opentelemetry-exporter-otlp-proto-common = "1.27.0"
-opentelemetry-proto = "1.27.0"
-opentelemetry-sdk = ">=1.27.0,<1.28.0"
+opentelemetry-exporter-otlp-proto-common = "1.28.2"
+opentelemetry-proto = "1.28.2"
+opentelemetry-sdk = ">=1.28.2,<1.29.0"
 
 [[package]]
 name = "opentelemetry-instrumentation"
-version = "0.48b0"
+version = "0.49b2"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 opentelemetry-api = ">=1.4,<2.0"
-setuptools = ">=16.0"
+opentelemetry-semantic-conventions = "0.49b2"
+packaging = ">=18.0"
 wrapt = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "opentelemetry-instrumentation-asgi"
-version = "0.48b0"
+version = "0.49b2"
 description = "ASGI instrumentation for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "opentelemetry_instrumentation_asgi-0.49b2-py3-none-any.whl", hash = "sha256:c8ede13ed781402458a800411cb7ec16a25386dc21de8e5b9a568b386a1dc5f4"},
+    {file = "opentelemetry_instrumentation_asgi-0.49b2.tar.gz", hash = "sha256:2af5faf062878330714efe700127b837038c4d9d3b70b451ab2424d5076d6c1c"},
 ]
 
 [package.dependencies]
 asgiref = ">=3.0,<4.0"
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.48b0"
-opentelemetry-semantic-conventions = "0.48b0"
-opentelemetry-util-http = "0.48b0"
+opentelemetry-instrumentation = "0.49b2"
+opentelemetry-semantic-conventions = "0.49b2"
+opentelemetry-util-http = "0.49b2"
 
 [package.extras]
 instruments = ["asgiref (>=3.0,<4.0)"]
 
 [[package]]
 name = "opentelemetry-instrumentation-fastapi"
-version = "0.48b0"
+version = "0.49b2"
 description = "OpenTelemetry FastAPI Instrumentation"
 optional = false
 python-versions = ">=3.8"
 files = [
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-opentelemetry-instrumentation-asgi = "0.48b0"
-opentelemetry-semantic-conventions = "0.48b0"
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+opentelemetry-instrumentation-asgi = "0.49b2"
+opentelemetry-semantic-conventions = "0.49b2"
+opentelemetry-util-http = "0.49b2"
 
 [package.extras]
 instruments = ["fastapi (>=0.58,<1.0)"]
 
 [[package]]
 name = "opentelemetry-proto"
-version = "1.27.0"
+version = "1.28.2"
 description = "OpenTelemetry Python Proto"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-protobuf = ">=3.19,<5.0"
+protobuf = ">=5.0,<6.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.27.0"
+version = "1.28.2"
 description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
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+opentelemetry-api = "1.28.2"
+opentelemetry-semantic-conventions = "0.49b2"
 typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.48b0"
+version = "0.49b2"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 deprecated = ">=1.2.6"
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+opentelemetry-api = "1.28.2"
 
 [[package]]
 name = "opentelemetry-util-http"
-version = "0.48b0"
+version = "0.49b2"
 description = "Web util for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
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 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
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 [package.extras]
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+docs = ["furo", "olefile", "sphinx (>=8.1)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
 fpx = ["olefile"]
 mic = ["olefile"]
 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
@@ -3663,13 +3699,13 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "posthog"
-version = "3.6.6"
+version = "3.7.2"
 description = "Integrate PostHog into any python application."
 optional = false
 python-versions = "*"
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 [[package]]
 name = "prettytable"
-version = "3.11.0"
+version = "3.12.0"
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 [[package]]
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-version = "3.0.47"
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 [package.dependencies]
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 [package.dependencies]
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@@ -4021,13 +4176,13 @@ semver = ["semver (>=3.0.2)"]
 
 [[package]]
 name = "pydantic-settings"
-version = "2.5.2"
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 description = "Settings management using Pydantic"
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 python-versions = ">=3.8"
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 [[package]]
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+version = "10.12"
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@@ -4109,13 +4264,13 @@ files = [
 
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 [[package]]
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 [[package]]
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 [package.extras]
-full = ["numpy"]
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 ]
 
 [[package]]
@@ -4535,33 +4670,34 @@ rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
 
 [[package]]
 name = "restrictedpython"
-version = "7.2"
+version = "7.4"
 description = "RestrictedPython is a defined subset of the Python language which allows to provide a program input into a trusted environment."
 optional = false
-python-versions = "<3.13,>=3.7"
+python-versions = "<3.14,>=3.8"
 files = [
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+    {file = "restrictedpython-7.4.tar.gz", hash = "sha256:81b62924713dbd280917fceaecaf210fef7a49dddf1a08c8c214a3613fbeb425"},
 ]
 
 [package.extras]
-docs = ["Sphinx", "sphinx-rtd-theme"]
+docs = ["Sphinx", "furo"]
 test = ["pytest", "pytest-mock"]
 
 [[package]]
 name = "rich"
-version = "13.8.1"
+version = "13.9.4"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
 markdown-it-py = ">=2.2.0"
 pygments = ">=2.13.0,<3.0.0"
+typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
@@ -4596,13 +4732,13 @@ pyasn1 = ">=0.1.3"
 
 [[package]]
 name = "runpod"
-version = "1.7.0"
+version = "1.7.5"
 description = "🐍 | Python library for RunPod API and serverless worker SDK."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -4612,7 +4748,7 @@ backoff = ">=2.2.1"
 boto3 = ">=1.26.165"
 click = ">=8.1.7"
 colorama = ">=0.2.5,<0.4.7"
-cryptography = "<43.0.0"
+cryptography = "<44.0.0"
 fastapi = {version = ">=0.94.0", extras = ["all"]}
 inquirerpy = "0.3.4"
 paramiko = ">=3.3.1"
@@ -4626,17 +4762,17 @@ urllib3 = ">=1.26.6"
 watchdog = ">=3.0.0"
 
 [package.extras]
-test = ["asynctest", "nest-asyncio", "pylint (==3.2.5)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-timeout", "pytest-watch"]
+test = ["asynctest", "nest-asyncio", "pytest", "pytest-asyncio", "pytest-cov", "pytest-timeout", "pytest-watch"]
 
 [[package]]
 name = "s3transfer"
-version = "0.10.2"
+version = "0.10.4"
 description = "An Amazon S3 Transfer Manager"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "s3transfer-0.10.2-py3-none-any.whl", hash = "sha256:eca1c20de70a39daee580aef4986996620f365c4e0fda6a86100231d62f1bf69"},
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+    {file = "s3transfer-0.10.4.tar.gz", hash = "sha256:29edc09801743c21eb5ecbc617a152df41d3c287f67b615f73e5f750583666a7"},
 ]
 
 [package.dependencies]
@@ -4874,47 +5010,50 @@ test = ["Cython", "array-api-strict (>=2.0)", "asv", "gmpy2", "hypothesis (>=6.3
 
 [[package]]
 name = "sentence-transformers"
-version = "3.1.1"
+version = "3.3.1"
 description = "State-of-the-Art Text Embeddings"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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+    {file = "sentence_transformers-3.3.1-py3-none-any.whl", hash = "sha256:abffcc79dab37b7d18d21a26d5914223dd42239cfe18cb5e111c66c54b658ae7"},
+    {file = "sentence_transformers-3.3.1.tar.gz", hash = "sha256:9635dbfb11c6b01d036b9cfcee29f7716ab64cf2407ad9f403a2e607da2ac48b"},
 ]
 
 [package.dependencies]
-huggingface-hub = ">=0.19.3"
+huggingface-hub = ">=0.20.0"
 Pillow = "*"
 scikit-learn = "*"
 scipy = "*"
 torch = ">=1.11.0"
 tqdm = "*"
-transformers = ">=4.38.0,<5.0.0"
+transformers = ">=4.41.0,<5.0.0"
 
 [package.extras]
-dev = ["accelerate (>=0.20.3)", "datasets", "pre-commit", "pytest", "pytest-cov"]
+dev = ["accelerate (>=0.20.3)", "datasets", "peft", "pre-commit", "pytest", "pytest-cov"]
+onnx = ["optimum[onnxruntime] (>=1.23.1)"]
+onnx-gpu = ["optimum[onnxruntime-gpu] (>=1.23.1)"]
+openvino = ["optimum-intel[openvino] (>=1.20.0)"]
 train = ["accelerate (>=0.20.3)", "datasets"]
 
 [[package]]
 name = "setuptools"
-version = "75.1.0"
+version = "75.6.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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+    {file = "setuptools-75.6.0-py3-none-any.whl", hash = "sha256:ce74b49e8f7110f9bf04883b730f4765b774ef3ef28f722cce7c273d253aaf7d"},
+    {file = "setuptools-75.6.0.tar.gz", hash = "sha256:8199222558df7c86216af4f84c30e9b34a61d8ba19366cc914424cdbd28252f6"},
 ]
 
 [package.extras]
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-core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.collections", "jaraco.functools", "jaraco.text (>=3.7)", "more-itertools", "more-itertools (>=8.8)", "packaging", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.7.0)"]
+core = ["importlib_metadata (>=6)", "jaraco.collections", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 enabler = ["pytest-enabler (>=2.2)"]
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 [[package]]
 name = "shapely"
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 [[package]]
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 python-versions = ">=3.8"
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 [package.dependencies]
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 [package.dependencies]
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 [[package]]
 name = "tokenizers"
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 description = ""
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 ]
 
 [package.dependencies]
@@ -5291,13 +5437,13 @@ files = [
 
 [[package]]
 name = "tomli"
-version = "2.0.1"
+version = "2.1.0"
 description = "A lil' TOML parser"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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-    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
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 ]
 
 [[package]]
@@ -5399,13 +5545,13 @@ torch = "2.4.1"
 
 [[package]]
 name = "tqdm"
-version = "4.66.5"
+version = "4.67.0"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -5413,6 +5559,7 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
 dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
+discord = ["requests"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
@@ -5433,13 +5580,13 @@ tqdm = ">4.64"
 
 [[package]]
 name = "transformers"
-version = "4.44.2"
+version = "4.46.3"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -5451,21 +5598,21 @@ pyyaml = ">=5.1"
 regex = "!=2019.12.17"
 requests = "*"
 safetensors = ">=0.4.1"
-tokenizers = ">=0.19,<0.20"
+tokenizers = ">=0.20,<0.21"
 tqdm = ">=4.27"
 
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 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
@@ -5476,7 +5623,7 @@ natten = ["natten (>=0.14.6,<0.15.0)"]
 onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
 onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
 optuna = ["optuna"]
-quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.5.1)", "urllib3 (<2.0.0)"]
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 ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
 ruff = ["ruff (==0.5.1)"]
@@ -5486,17 +5633,18 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
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 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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 timm = ["timm (<=0.9.16)"]
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-torch = ["accelerate (>=0.21.0)", "torch"]
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+video = ["av (==9.2.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
 [[package]]
@@ -5528,13 +5676,13 @@ tutorials = ["matplotlib", "pandas", "tabulate"]
 
 [[package]]
 name = "typer"
-version = "0.12.5"
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 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
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 python-versions = ">=3.7"
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 [package.dependencies]
@@ -5545,13 +5693,13 @@ typing-extensions = ">=3.7.4.3"
 
 [[package]]
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+version = "2.32.0.20241016"
 description = "Typing stubs for requests"
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 ]
 
 [package.dependencies]
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+    {file = "yarl-1.18.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:7609b8462351c4836b3edce4201acb6dd46187b207c589b30a87ffd1813b48dc"},
+    {file = "yarl-1.18.0-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:d9d4f5e471e8dc49b593a80766c2328257e405f943c56a3dc985c125732bc4cf"},
+    {file = "yarl-1.18.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:67b336c15e564d76869c9a21316f90edf546809a5796a083b8f57c845056bc01"},
+    {file = "yarl-1.18.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:b212452b80cae26cb767aa045b051740e464c5129b7bd739c58fbb7deb339e7b"},
+    {file = "yarl-1.18.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:38b39b7b3e692b6c92b986b00137a3891eddb66311b229d1940dcbd4f025083c"},
+    {file = "yarl-1.18.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:a7ee6884a8848792d58b854946b685521f41d8871afa65e0d4a774954e9c9e89"},
+    {file = "yarl-1.18.0-cp39-cp39-win32.whl", hash = "sha256:b4095c5019bb889aa866bf12ed4c85c0daea5aafcb7c20d1519f02a1e738f07f"},
+    {file = "yarl-1.18.0-cp39-cp39-win_amd64.whl", hash = "sha256:2d90f2e4d16a5b0915ee065218b435d2ef619dd228973b1b47d262a6f7cd8fa5"},
+    {file = "yarl-1.18.0-py3-none-any.whl", hash = "sha256:dbf53db46f7cf176ee01d8d98c39381440776fcda13779d269a8ba664f69bec0"},
+    {file = "yarl-1.18.0.tar.gz", hash = "sha256:20d95535e7d833889982bfe7cc321b7f63bf8879788fee982c76ae2b24cfb715"},
 ]
 
 [package.dependencies]
 idna = ">=2.0"
 multidict = ">=4.0"
+propcache = ">=0.2.0"
 
 [[package]]
 name = "zipp"
-version = "3.20.2"
+version = "3.21.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
-    {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
+    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
+    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
 ]
 
 [package.extras]
diff --git a/scenes/simulation-suite/game.py b/scenes/simulation-suite/game.py
index 978c5f33..8b442077 100644
--- a/scenes/simulation-suite/game.py
+++ b/scenes/simulation-suite/game.py
@@ -481,7 +481,11 @@ def game(TM):
                 
                 TM.log.debug("SIMULATION SUITE: transform npc", npc=npc)
                 
-                character_attributes = TM.agents.world_state.extract_character_sheet(name=npc.name, alteration_instructions=self.player_message.raw)
+                character_attributes = TM.agents.world_state.extract_character_sheet(
+                    name=npc.name,
+                    text=inject,
+                    alteration_instructions=self.player_message.raw
+                )
                 
                 TM.scene.set_character_attributes(npc.name, character_attributes)
                 character_description = TM.agents.creator.determine_character_description(npc.name)
diff --git a/src/talemate/agents/base.py b/src/talemate/agents/base.py
index 1197e35d..036e5a0f 100644
--- a/src/talemate/agents/base.py
+++ b/src/talemate/agents/base.py
@@ -65,6 +65,8 @@ class AgentAction(pydantic.BaseModel):
     condition: Union[AgentActionConditional, None] = None
     container: bool = False
     icon: Union[str, None] = None
+    can_be_disabled: bool = False
+    experimental: bool = False
 
 
 class AgentDetail(pydantic.BaseModel):
diff --git a/src/talemate/agents/conversation.py b/src/talemate/agents/conversation.py
index 6a8d491f..fa8aef80 100644
--- a/src/talemate/agents/conversation.py
+++ b/src/talemate/agents/conversation.py
@@ -21,7 +21,7 @@ from talemate.emit import emit
 from talemate.events import GameLoopEvent
 from talemate.exceptions import LLMAccuracyError
 from talemate.prompts import Prompt
-from talemate.scene_message import CharacterMessage, DirectorMessage
+from talemate.scene_message import CharacterMessage, DirectorMessage, ContextInvestigationMessage, NarratorMessage
 
 from .base import (
     Agent,
@@ -86,7 +86,9 @@ class ConversationAgent(Agent):
         self.actions = {
             "generation_override": AgentAction(
                 enabled=True,
-                label="Generation Settings",
+                container=True,
+                icon="mdi-atom-variant",
+                label="Generation",
                 config={
                     "format": AgentActionConfig(
                         type="text",
@@ -107,12 +109,6 @@ class ConversationAgent(Agent):
                         max=512,
                         step=32,
                     ),
-                    "instructions": AgentActionConfig(
-                        type="text",
-                        label="Instructions",
-                        value="Write 1-3 sentences. Never wax poetic.",
-                        description="Extra instructions to give the AI for dialog generatrion.",
-                    ),
                     "jiggle": AgentActionConfig(
                         type="number",
                         label="Jiggle (Increased Randomness)",
@@ -122,6 +118,29 @@ class ConversationAgent(Agent):
                         max=1.0,
                         step=0.1,
                     ),
+                    "instructions": AgentActionConfig(
+                        type="blob",
+                        label="Task Instructions",
+                        value="Write 1-3 sentences. Never wax poetic.",
+                        description="Allows to extend the task instructions - placed above the context history.",
+                    ),
+                    "actor_instructions": AgentActionConfig(
+                        type="blob",
+                        label="Actor Instructions",
+                        value="",
+                        description="Allows to extend the actor instructions - placed towards the end of the context history.",
+                    ),
+                    "actor_instructions_offset": AgentActionConfig(
+                        type="number",
+                        label="Actor Instructions Offset",
+                        value=3,
+                        description="Offsets the actor instructions into the context history, shifting it up N number of messages. 0 = at the end of the context history.",
+                        min=0,
+                        max=20,
+                        step=1,
+                    ),
+                    
+
                 },
             ),
             "auto_break_repetition": AgentAction(
@@ -176,11 +195,32 @@ class ConversationAgent(Agent):
                             {
                                 "label": "AI compiled question and answers (slow)",
                                 "value": "questions",
-                            },
+                            }
                         ],
                     ),
                 },
             ),
+            "investigate_context": AgentAction(
+                enabled=False,
+                label="Context Investigation",
+                container=True,
+                icon="mdi-text-search",
+                can_be_disabled=True,
+                experimental=True,
+                description="Will investigate the layered history of the scene to extract relevant information. This can be very slow, especially as number of layers increase. Layered history needs to be enabled in the summarizer agent.",
+                config={
+                    "trigger": AgentActionConfig(
+                        type="text",
+                        label="Trigger",
+                        description="The trigger to start the context investigation",
+                        value="ai",
+                        choices=[
+                            {"label": "Agent decides", "value": "ai"},
+                            {"label": "Only when a question is asked", "value": "question"},
+                        ]
+                    ),
+                }
+            ),
         }
 
     @property
@@ -219,6 +259,26 @@ class ConversationAgent(Agent):
 
         return details
 
+    @property
+    def generation_settings_task_instructions(self):
+        return self.actions["generation_override"].config["instructions"].value
+
+    @property
+    def generation_settings_actor_instructions(self):
+        return self.actions["generation_override"].config["actor_instructions"].value
+
+    @property
+    def generation_settings_actor_instructions_offset(self):
+        return self.actions["generation_override"].config["actor_instructions_offset"].value
+
+    @property
+    def investigate_context(self):
+        return self.actions["investigate_context"].enabled 
+    
+    @property
+    def investigate_context_trigger(self):
+        return self.actions["investigate_context"].config["trigger"].value
+    
     def connect(self, scene):
         super().connect(scene)
         talemate.emit.async_signals.get("game_loop").connect(self.on_game_loop)
@@ -433,6 +493,7 @@ class ConversationAgent(Agent):
         self,
         character: Character,
         char_message: Optional[str] = "",
+        instruction: Optional[str] = None,
     ):
         """
         Builds the prompt that drives the AI's conversational response
@@ -471,12 +532,9 @@ class ConversationAgent(Agent):
             director_message = isinstance(scene_and_dialogue[-1], DirectorMessage)
         except IndexError:
             director_message = False
-
-        extra_instructions = ""
-        if self.actions["generation_override"].enabled:
-            extra_instructions = (
-                self.actions["generation_override"].config["instructions"].value
-            )
+            
+        if self.investigate_context:
+            await self.run_context_investigation(character)
 
         conversation_format = self.conversation_format
         prompt = Prompt.get(
@@ -493,7 +551,11 @@ class ConversationAgent(Agent):
                 "talking_character": character,
                 "partial_message": char_message,
                 "director_message": director_message,
-                "extra_instructions": extra_instructions,
+                "extra_instructions": self.generation_settings_task_instructions, #backward compatibility
+                "task_instructions": self.generation_settings_task_instructions,
+                "actor_instructions": self.generation_settings_actor_instructions,
+                "actor_instructions_offset": self.generation_settings_actor_instructions_offset,
+                "direct_instruction": instruction,
                 "decensor": self.client.decensor_enabled,
             },
         )
@@ -526,11 +588,8 @@ class ConversationAgent(Agent):
         if retrieval_method != "direct":
             world_state = instance.get_agent("world_state")
             history = self.scene.context_history(
-                min_dialogue=3,
-                max_dialogue=15,
                 keep_director=False,
-                sections=False,
-                add_archieved_history=False,
+                budget=int(self.client.max_token_length * 0.75),
             )
             text = "\n".join(history)
             log.debug(
@@ -542,13 +601,15 @@ class ConversationAgent(Agent):
             if retrieval_method == "questions":
                 self.current_memory_context = (
                     await world_state.analyze_text_and_extract_context(
-                        text, f"continue the conversation as {character.name}"
+                        text, f"continue the conversation as {character.name}",
+                        include_character_context=True
                     )
                 ).split("\n")
             elif retrieval_method == "queries":
                 self.current_memory_context = (
                     await world_state.analyze_text_and_extract_context_via_queries(
-                        text, f"continue the conversation as {character.name}"
+                        text, f"continue the conversation as {character.name}",
+                        include_character_context=True
                     )
                 )
 
@@ -567,10 +628,40 @@ class ConversationAgent(Agent):
 
         return self.current_memory_context
 
-    async def build_prompt(self, character, char_message: str = ""):
+    async def run_context_investigation(self, character: Character | None = None):
+        
+        # go backwards in the history if there is a ContextInvestigation message before
+        # there is a character or narrator message, just return
+        for idx in range(len(self.scene.history) - 1, -1, -1):
+            if isinstance(self.scene.history[idx], ContextInvestigationMessage):
+                return
+
+            if isinstance(self.scene.history[idx], (CharacterMessage, NarratorMessage)):
+                break
+        
+        last_message = self.scene.last_message_of_type(["character", "narrator"])
+        
+        if self.investigate_context_trigger == "question":
+            if not last_message:
+                return
+
+            if "?" not in str(last_message):
+                return
+        
+        summarizer = instance.get_agent("summarizer")
+        result = await summarizer.dig_layered_history(str(last_message), character=character) 
+        
+        if not result.strip():
+            return
+        
+        message = ContextInvestigationMessage(message=result)
+        self.scene.push_history([message])
+        emit("context_investigation", message)
+
+    async def build_prompt(self, character, char_message: str = "", instruction:str = None):
         fn = self.build_prompt_default
 
-        return await fn(character, char_message=char_message)
+        return await fn(character, char_message=char_message, instruction=instruction)
 
     def clean_result(self, result, character):
         if "#" in result:
@@ -607,7 +698,7 @@ class ConversationAgent(Agent):
                 set_client_context_attribute("nuke_repetition", nuke_repetition)
 
     @set_processing
-    async def converse(self, actor):
+    async def converse(self, actor, only_generate:bool = False, instruction:str = None) -> list[str] | list[CharacterMessage]:
         """
         Have a conversation with the AI
         """
@@ -625,7 +716,7 @@ class ConversationAgent(Agent):
 
         self.set_generation_overrides()
 
-        result = await self.client.send_prompt(await self.build_prompt(character))
+        result = await self.client.send_prompt(await self.build_prompt(character, instruction=instruction))
 
         result = self.clean_result(result, character)
 
@@ -707,6 +798,9 @@ class ConversationAgent(Agent):
         response_message = util.parse_messages_from_str(total_result, [character.name])
 
         log.info("conversation agent", result=response_message)
+        
+        if only_generate:
+            return response_message
 
         emission = ConversationAgentEmission(
             agent=self, generation=response_message, actor=actor, character=character
diff --git a/src/talemate/agents/creator/assistant.py b/src/talemate/agents/creator/assistant.py
index 0cf498df..831112ba 100644
--- a/src/talemate/agents/creator/assistant.py
+++ b/src/talemate/agents/creator/assistant.py
@@ -1,6 +1,7 @@
 import asyncio
 import json
 import random
+import uuid
 from typing import TYPE_CHECKING, Tuple, Union
 
 import pydantic
@@ -317,3 +318,88 @@ class AssistantMixin:
             emit("autocomplete_suggestion", response)
 
         return response
+
+    @set_processing
+    async def fork_scene(
+        self,
+        message_id: int,
+        save_name: str | None = None,
+    ):
+        """
+        Allows to fork a new scene from a specific message
+        in the current scene.
+        
+        All content after the message will be removed and the
+        context database will be re imported ensuring a clean state.
+        
+        All state reinforcements will be reset to their most recent
+        state before the message.
+        """
+        
+        emit("status", "Creating scene fork ...", status="busy")
+        try:
+            if not save_name:
+                # build a save name
+                uuid_str = str(uuid.uuid4())[:8]
+                save_name = f"{uuid_str}-forked"
+            
+            log.info(f"Forking scene", message_id=message_id, save_name=save_name)
+            
+            world_state = get_agent("world_state")
+            
+            # does a message with the given id exist?
+            index = self.scene.message_index(message_id)
+            if index is None:
+                raise ValueError(f"Message with id {message_id} not found.")
+            
+            # truncate scene.history keeping index as the last element
+            self.scene.history = self.scene.history[:index + 1]
+            
+            # truncate scene.archived_history keeping the element where `end` is < `index`
+            # as the last element
+            self.scene.archived_history = [
+                x for x in self.scene.archived_history if "end" not in x or x["end"] < index
+            ]
+            
+            # the same needs to be done for layered history
+            # where each layer is truncated based on what's left in the previous layer
+            # using similar logic as above (checking `end` vs `index`)
+            # layer 0 checks archived_history
+            
+            new_layered_history = []
+            for layer_number, layer in enumerate(self.scene.layered_history):
+                
+                if layer_number == 0:
+                    index = len(self.scene.archived_history) - 1
+                else:
+                    index = len(new_layered_history[layer_number - 1]) - 1
+                    
+                new_layer = [
+                    x for x in layer if x["end"] < index
+                ]
+                new_layered_history.append(new_layer)
+                
+            self.scene.layered_history = new_layered_history
+
+            # save the scene
+            await self.scene.save(copy_name=save_name)
+            
+            log.info(f"Scene forked", save_name=save_name)
+            
+            # re-emit history
+            await self.scene.emit_history()
+            
+            emit("status", f"Updating world state ...", status="busy")
+
+            # reset state reinforcements
+            await world_state.update_reinforcements(force = True, reset= True)
+            
+            # update world state
+            await self.scene.world_state.request_update()
+            
+            emit("status", f"Scene forked", status="success")            
+        except Exception as e:
+            log.exception("Scene fork failed", exc=e)
+            emit("status", "Scene fork failed", status="error")
+        
+        
\ No newline at end of file
diff --git a/src/talemate/agents/director.py b/src/talemate/agents/director.py
index b3cf1f3c..fd477a28 100644
--- a/src/talemate/agents/director.py
+++ b/src/talemate/agents/director.py
@@ -17,7 +17,7 @@ from talemate.emit import emit, wait_for_input
 from talemate.events import GameLoopActorIterEvent, GameLoopStartEvent, SceneStateEvent
 from talemate.game.engine import GameInstructionsMixin
 from talemate.prompts import Prompt
-from talemate.scene_message import DirectorMessage, NarratorMessage
+from talemate.scene_message import DirectorMessage, NarratorMessage, CharacterMessage
 
 from .base import Agent, AgentAction, AgentActionConfig, set_processing
 from .registry import register
@@ -83,6 +83,51 @@ class DirectorAgent(GameInstructionsMixin, Agent):
                     ),
                 },
             ),
+            "_generate_choices": AgentAction(
+                enabled=True,
+                container=True,
+                can_be_disabled=True,
+                experimental=True,
+                label="Dynamic Actions",
+                icon="mdi-tournament",
+                description="Allows the director to generate clickable choices for the player.",
+                config={
+                    "chance": AgentActionConfig(
+                        type="number",
+                        label="Chance",
+                        description="The chance to generate actions. 0 = never, 1 = always",
+                        value=0.3,
+                        min=0,
+                        max=1,
+                        step=0.1,
+                    ),
+                    
+                    "num_choices": AgentActionConfig(
+                        type="number",
+                        label="Number of Actions",
+                        description="The number of actions to generate",
+                        value=3,
+                        min=1,
+                        max=10,
+                        step=1,
+                    ),
+                    
+                    "never_auto_progress": AgentActionConfig(
+                        type="bool",
+                        label="Never Auto Progress on Action Selection",
+                        description="If enabled, the scene will not auto progress after you select an action.",
+                        value=False,
+                    ),
+                    
+                    "instructions": AgentActionConfig(
+                        type="blob",
+                        label="Instructions",
+                        description="Provide some instructions to the director for generating actions.",
+                        value="",
+                    ),
+                }
+            ),
+                
         }
 
     @property
@@ -113,6 +158,26 @@ class DirectorAgent(GameInstructionsMixin, Agent):
     def actor_direction_mode(self):
         return self.actions["direct"].config["actor_direction_mode"].value
 
+    @property
+    def generate_choices_enabled(self):
+        return self.actions["_generate_choices"].enabled
+    
+    @property
+    def generate_choices_chance(self):
+        return self.actions["_generate_choices"].config["chance"].value
+    
+    @property
+    def generate_choices_num_choices(self):
+        return self.actions["_generate_choices"].config["num_choices"].value
+
+    @property
+    def generate_choices_never_auto_progress(self):
+        return self.actions["_generate_choices"].config["never_auto_progress"].value
+
+    @property
+    def generate_choices_instructions(self):
+        return self.actions["_generate_choices"].config["instructions"].value
+
     def connect(self, scene):
         super().connect(scene)
         talemate.emit.async_signals.get("agent.conversation.before_generate").connect(
@@ -122,6 +187,7 @@ class DirectorAgent(GameInstructionsMixin, Agent):
             self.on_player_dialog
         )
         talemate.emit.async_signals.get("scene_init").connect(self.on_scene_init)
+        talemate.emit.async_signals.get("player_turn_start").connect(self.on_player_turn_start)
 
     async def on_scene_init(self, event: SceneStateEvent):
         """
@@ -172,6 +238,31 @@ class DirectorAgent(GameInstructionsMixin, Agent):
 
         event.game_loop.had_passive_narration = await self.direct(None)
 
+    async def on_player_turn_start(self, event: GameLoopStartEvent):
+        if not self.enabled:
+            return
+        
+        if self.generate_choices_enabled:
+            
+            # look backwards through history and abort if we encounter
+            # a character message with source "player" before either
+            # a character message with a different source or a narrator message
+            #
+            # this is so choices aren't generated when the player message was
+            # the most recent content in the scene
+            
+            for i in range(len(self.scene.history) - 1, -1, -1):
+                message = self.scene.history[i]
+                if isinstance(message, NarratorMessage):
+                    break
+                if isinstance(message, CharacterMessage):
+                    if message.source == "player":
+                        return
+                    break
+                            
+            if random.random() < self.generate_choices_chance:
+                await self.generate_choices() 
+
     async def direct(self, character: Character) -> bool:
         if not self.actions["direct"].enabled:
             return False
@@ -432,3 +523,50 @@ class DirectorAgent(GameInstructionsMixin, Agent):
         self, kind: str, agent_function_name: str, auto: bool = False
     ):
         return True
+
+
+    @set_processing
+    async def generate_choices(
+        self,
+    ):
+        
+        log.info("generate_choices")
+        
+        response = await Prompt.request(
+            "director.generate-choices",
+            self.client,
+            "direction_long",
+            vars={
+                "max_tokens": self.client.max_token_length,
+                "scene": self.scene,
+                "player_character": self.scene.get_player_character(),
+                "num_choices": self.generate_choices_num_choices,
+                "instructions": self.generate_choices_instructions,
+            },
+        )
+
+        try:
+            choice_text = response.split("ACTIONS:", 1)[1]
+            choices = util.extract_list(choice_text)
+            # strip quotes
+            choices = [choice.strip().strip('"') for choice in choices]
+            
+            # limit to num_choices
+            choices = choices[:self.generate_choices_num_choices]
+        
+        except Exception as e:
+            log.error("generate_choices failed", error=str(e), response=response)
+            return
+
+        
+
+        log.info("generate_choices done", choices=choices)
+        
+        emit(
+            "player_choice",
+            response,
+            data = {
+                "choices": choices
+            },
+            websocket_passthrough=True
+        )
\ No newline at end of file
diff --git a/src/talemate/agents/memory/__init__.py b/src/talemate/agents/memory/__init__.py
index 49f00267..c38df7b9 100644
--- a/src/talemate/agents/memory/__init__.py
+++ b/src/talemate/agents/memory/__init__.py
@@ -795,7 +795,7 @@ class ChromaDBMemoryAgent(MemoryAgent):
         elif not where["$and"]:
             where = None
 
-        # log.debug("crhomadb agent get", text=text, where=where)
+        log.debug("crhomadb agent get", text=text, where=where)
 
         _results = self.db.query(query_texts=[text], where=where, n_results=limit)
 
@@ -875,6 +875,10 @@ class ChromaDBMemoryAgent(MemoryAgent):
             return None
 
     def _get_document(self, id) -> dict:
+        
+        if not id:
+            return {}
+        
         result = self.db.get(ids=[id] if isinstance(id, str) else id)
         documents = {}
 
diff --git a/src/talemate/agents/summarize.py b/src/talemate/agents/summarize.py
index 2c8be49c..55b0ed0c 100644
--- a/src/talemate/agents/summarize.py
+++ b/src/talemate/agents/summarize.py
@@ -1,20 +1,19 @@
 from __future__ import annotations
 
-import asyncio
 import re
-import time
-import traceback
-from typing import TYPE_CHECKING, Callable, List, Optional, Union
 
 import structlog
 
 import talemate.data_objects as data_objects
 import talemate.emit.async_signals
 import talemate.util as util
+from talemate.emit import emit
 from talemate.events import GameLoopEvent
 from talemate.prompts import Prompt
-from talemate.scene_message import DirectorMessage, TimePassageMessage
+from talemate.scene_message import DirectorMessage, TimePassageMessage, ContextInvestigationMessage, ReinforcementMessage
 from talemate.world_state.templates import GenerationOptions
+from talemate.tale_mate import Character
+from talemate.exceptions import GenerationCancelled
 
 from .base import Agent, AgentAction, AgentActionConfig, set_processing
 from .registry import register
@@ -22,6 +21,12 @@ from .registry import register
 log = structlog.get_logger("talemate.agents.summarize")
 
 
+class SummaryLongerThanOriginalError(ValueError):
+    def __init__(self, original_length:int, summarized_length:int):
+        self.original_length = original_length
+        self.summarized_length = summarized_length
+        super().__init__(f"Summarized text is longer than original text: {summarized_length} > {original_length}")
+
 @register()
 class SummarizeAgent(Agent):
     """
@@ -70,13 +75,53 @@ class SummarizeAgent(Agent):
                         label="Use preceeding summaries to strengthen context",
                         description="Number of entries",
                         note="Help the AI summarize by including the last few summaries as additional context. Some models may incorporate this context into the new summary directly, so if you find yourself with a bunch of similar history entries, try setting this to 0.",
-                        value=3,
+                        value=6,
                         min=0,
-                        max=10,
+                        max=24,
                         step=1,
                     ),
                 },
-            )
+            ),
+            # layered history gets its own action
+            "layered_history": AgentAction(
+                enabled=True,
+                container=True,
+                icon="mdi-layers",
+                can_be_disabled=True,
+                experimental=True,
+                label="Layered history",
+                description="Generate a layered history with multiple levels of summarization",
+                config={
+                    "threshold": AgentActionConfig(
+                        type="number",
+                        label="Token Threshold",
+                        description="Will summarize when the number of tokens in previous layer exceeds this threshold",
+                        min=256,
+                        max=8192,
+                        step=128,
+                        value=1536,
+                    ),
+                    "max_layers": AgentActionConfig(
+                        type="number",
+                        label="Maximum number of layers",
+                        description="The maximum number of layers to generate",
+                        min=1,
+                        max=5,
+                        step=1,
+                        value=3,
+                    ),  
+                    "max_process_tokens": AgentActionConfig(
+                        type="number",
+                        label="Maximum tokens to process",
+                        description="The maximum number of tokens to process at once.",
+                        note="Smaller LLMs may struggle with accurately summarizing long texts. This setting will split the text into chunks and summarize each chunk separately, then stich them together in the next layer. If you're using a strong LLM (70B+), you can try setting this to be the same as the threshold.",
+                        min=256,
+                        max=8192,
+                        step=128,
+                        value=768,
+                    ),
+                },
+            ),
         }
 
     @property
@@ -88,6 +133,38 @@ class SummarizeAgent(Agent):
         all_tokens = sum([util.count_tokens(entry) for entry in self.scene.history])
         return all_tokens // self.threshold
 
+    @property
+    def archive_threshold(self):
+        return self.actions["archive"].config["threshold"].value
+    
+    @property
+    def archive_method(self):
+        return self.actions["archive"].config["method"].value
+    
+    @property
+    def archive_include_previous(self):
+        return self.actions["archive"].config["include_previous"].value
+    
+    @property
+    def layered_history_enabled(self):
+        return self.actions["layered_history"].enabled
+    
+    @property
+    def layered_history_threshold(self):
+        return self.actions["layered_history"].config["threshold"].value
+    
+    @property
+    def layered_history_max_process_tokens(self):
+        return self.actions["layered_history"].config["max_process_tokens"].value
+    
+    @property
+    def layered_history_max_layers(self):
+        return self.actions["layered_history"].config["max_layers"].value
+    
+    @property
+    def layered_history_available(self):
+        return self.layered_history_enabled and self.scene.layered_history and self.scene.layered_history[0]
+
     def connect(self, scene):
         super().connect(scene)
         talemate.emit.async_signals.get("game_loop").connect(self.on_game_loop)
@@ -104,7 +181,7 @@ class SummarizeAgent(Agent):
             result = result.split("#")[0]
 
         # Removes partial sentence at the end
-        result = re.sub(r"[^\.\?\!]+(\n|$)", "", result)
+        result = util.strip_partial_sentences(result)
         result = result.strip()
 
         return result
@@ -135,9 +212,14 @@ class SummarizeAgent(Agent):
 
         num_previous = self.actions["archive"].config["include_previous"].value
         if recent_entry and num_previous > 0:
-            extra_context = "\n\n".join(
-                [entry["text"] for entry in scene.archived_history[-num_previous:]]
-            )
+            if self.layered_history_available:
+                log.warning("build_archive with layered history")
+                extra_context = self.compile_layered_history(include_base_layer=True)
+            else:
+                extra_context = [
+                    entry["text"] for entry in scene.archived_history[-num_previous:]
+                ]
+                
         else:
             extra_context = None
 
@@ -160,15 +242,17 @@ class SummarizeAgent(Agent):
 
             # log.debug("build_archive", idx=i, content=str(dialogue)[:64]+"...")
 
-            if isinstance(dialogue, DirectorMessage):
+            if isinstance(dialogue, (DirectorMessage, ContextInvestigationMessage, ReinforcementMessage)):
+                # these messages are not part of the dialogue and should not be summarized
                 if i == start:
                     start += 1
                 continue
 
             if isinstance(dialogue, TimePassageMessage):
                 log.debug("build_archive", time_passage_message=dialogue)
+                ts = util.iso8601_add(ts, dialogue.ts)
+                
                 if i == start:
-                    ts = util.iso8601_add(ts, dialogue.ts)
                     log.debug(
                         "build_archive",
                         time_passage_message=dialogue,
@@ -222,15 +306,33 @@ class SummarizeAgent(Agent):
                     if str(line) in terminating_line:
                         break
                     adjusted_dialogue.append(line)
-                dialogue_entries = adjusted_dialogue
-                end = start + len(dialogue_entries) - 1
+                    
+                # if difference start and end is less than 4, ignore the termination
+                if len(adjusted_dialogue) > 4:
+                    dialogue_entries = adjusted_dialogue
+                    end = start + len(dialogue_entries) - 1
+                else:
+                    log.warning("build_archive", message="Ignoring termination", start=start, end=end, adjusted_dialogue=adjusted_dialogue)
 
         if dialogue_entries:
-            summarized = await self.summarize(
-                "\n".join(map(str, dialogue_entries)),
-                extra_context=extra_context,
-                generation_options=generation_options,
-            )
+            
+            if not extra_context:
+                # prepend scene intro to dialogue
+                dialogue_entries.insert(0, scene.intro)
+            
+            summarized = None
+            retries = 5
+            
+            while not summarized and retries > 0:
+                summarized = await self.summarize(
+                    "\n".join(map(str, dialogue_entries)),
+                    extra_context=extra_context,
+                    generation_options=generation_options,
+                )
+                retries -= 1
+                
+            if not summarized:
+                raise IOError("Failed to summarize dialogue", dialogue=dialogue_entries)
 
         else:
             # AI has likely identified the first line as a scene change, so we can't summarize
@@ -240,6 +342,13 @@ class SummarizeAgent(Agent):
         # determine the appropariate timestamp for the summarization
 
         scene.push_archive(data_objects.ArchiveEntry(summarized, start, end, ts=ts))
+        
+        scene.ts=ts
+        scene.emit_status()
+        
+        # process layered history
+        if self.layered_history_enabled:
+            await self.summarize_to_layered_history()
 
         return True
 
@@ -259,6 +368,68 @@ class SummarizeAgent(Agent):
         response = self.clean_result(response)
         return response
 
+    @set_processing
+    async def find_natural_scene_termination(self, event_chunks:list[str]) -> list[list[str]]:
+        """
+        Will analyze a list of events and return a list of events that
+        has been separated at a natural scene termination points.
+        """
+        
+        # scan through event chunks and split into paragraphs
+        rebuilt_chunks = []
+        
+        for chunk in event_chunks:
+            paragraphs = [
+                p.strip() for p in chunk.split("\n") if p.strip()
+            ]
+            rebuilt_chunks.extend(paragraphs)
+        
+        event_chunks = rebuilt_chunks
+        
+        response = await Prompt.request(
+            "summarizer.find-natural-scene-termination-events",
+            self.client,
+            "analyze_short2",
+            vars={
+                "scene": self.scene,
+                "max_tokens": self.client.max_token_length,
+                "events": event_chunks,
+            },
+        )
+        response = response.strip()
+        
+        items = util.extract_list(response)
+        
+        # will be a list of 
+        # ["Progress 1", "Progress 12", "Progress 323", ...]
+        # convert to a list of just numbers 
+        
+        numbers = []
+        
+        for item in items:
+            match = re.match(r"Progress (\d+)", item.strip())
+            if match:
+                numbers.append(int(match.group(1)))
+                
+        # make sure its unique and sorted
+        numbers = sorted(list(set(numbers)))
+                
+        result = []
+        prev_number = 0
+        for number in numbers:
+            result.append(event_chunks[prev_number:number+1])
+            prev_number = number+1
+        
+        #result = {
+        #    "selected": event_chunks[:number+1],
+        #    "remaining": event_chunks[number+1:]
+        #}
+        
+        log.debug("find_natural_scene_termination", response=response, result=result, numbers=numbers)
+        
+        return result
+                
+
     @set_processing
     async def summarize(
         self,
@@ -267,14 +438,15 @@ class SummarizeAgent(Agent):
         method: str = None,
         extra_instructions: str = None,
         generation_options: GenerationOptions | None = None,
+        source_type: str = "dialogue",
     ):
         """
         Summarize the given text
         """
         response = await Prompt.request(
-            "summarizer.summarize-dialogue",
+            f"summarizer.summarize-{source_type}",
             self.client,
-            "summarize",
+            "summarize_long",
             vars={
                 "dialogue": text,
                 "scene": self.scene,
@@ -285,6 +457,7 @@ class SummarizeAgent(Agent):
                     else method
                 ),
                 "extra_context": extra_context or "",
+                "num_extra_context": len(extra_context) if extra_context else 0,
                 "extra_instructions": extra_instructions or "",
                 "generation_options": generation_options,
             },
@@ -293,131 +466,576 @@ class SummarizeAgent(Agent):
         self.scene.log.info(
             "summarize", dialogue_length=len(text), summarized_length=len(response)
         )
+        
+        try:
+            if source_type == "dialogue":
+                summary = response.split("SUMMARY:")[1].strip()
+            else:
+                summary = response.strip()
+        except Exception as e:
+            log.error("summarize failed", response=response, exc=e)
+            return ""
+        
+        # capitalize first letter
+        try:
+            summary = summary[0].upper() + summary[1:]
+        except IndexError:
+            pass
+        
+        return self.clean_result(summary)
 
-        return self.clean_result(response)
-
-    async def build_stepped_archive_for_level(self, level: int):
+    @set_processing
+    async def generate_timeline(self) -> list[str]:
         """
-        WIP - not yet used
-
-        This will iterate over existing archived_history entries
-        and stepped_archived_history entries and summarize based on time duration
-        indicated between the entries.
-
-        The lowest level of summarization (based on token threshold and any time passage)
-        happens in build_archive. This method is for summarizing furhter levels based on
-        long time pasages.
-
-        Level 0: small timestap summarize (summarizes all token summarizations when time advances +1 day)
-        Level 1: medium timestap summarize (summarizes all small timestep summarizations when time advances +1 week)
-        Level 2: large timestap summarize (summarizes all medium timestep summarizations when time advances +1 month)
-        Level 3: huge timestap summarize (summarizes all large timestep summarizations when time advances +1 year)
-        Level 4: massive timestap summarize (summarizes all huge timestep summarizations when time advances +10 years)
-        Level 5: epic timestap summarize (summarizes all massive timestep summarizations when time advances +100 years)
-        and so on (increasing by a factor of 10 each time)
-
-        ```
-        @dataclass
-        class ArchiveEntry:
-            text: str
-            start: int = None
-            end: int = None
-            ts: str = None
-        ```
-
-        Like token summarization this will use ArchiveEntry and start and end will refer to the entries in the
-        lower level of summarization.
-
-        Ts is the iso8601 timestamp of the start of the summarized period.
+        Will generate a factual and concise timeline of the scene history
+        
+        Events will be returned one per line, in a single sentence.
+        
+        Only major events and important milestones should be included.
         """
-
-        # select the list to use for the entries
-
-        if level == 0:
-            entries = self.scene.archived_history
-        else:
-            entries = self.scene.stepped_archived_history[level - 1]
-
-        # select the list to summarize new entries to
-
-        target = self.scene.stepped_archived_history[level]
-
-        if not target:
-            raise ValueError(f"Invalid level {level}")
-
-        # determine the start and end of the period to summarize
-
-        if not entries:
-            return
-
-        # determine the time threshold for this level
-
-        # first calculate all possible thresholds in iso8601 format, starting with 1 day
-        thresholds = [
-            "P1D",
-            "P1W",
-            "P1M",
-            "P1Y",
+        
+        events = []
+        
+        for ah in self.scene.archived_history:
+            events.append(
+                {
+                    "text": ah["text"],
+                    "time": util.iso8601_duration_to_human(ah["ts"], suffix="later", zero_time_default="The beginning")
+                }
+            )
+            
+        if not events:
+            return []
+            
+        response = await Prompt.request(
+            "summarizer.timeline",
+            self.client,
+            "analyze_extensive",
+            vars={
+                "scene": self.scene,
+                "max_tokens": self.client.max_token_length,
+                "events": events,
+            },
+        )
+        
+        log.debug("generate_timeline", response=response)
+        
+        return util.extract_list(response)
+    
+    def compile_layered_history(
+        self, 
+        for_layer_index:int = None, 
+        as_objects:bool=False, 
+        include_base_layer:bool=False,
+        max:int = None
+    ) -> list[str]:
+        """
+        Starts at the last layer and compiles the layered history into a single
+        list of events.
+        
+        We are iterating backwards, so the last layer will be the most granular.
+        
+        Each preceeding layer starts from the end of the the next layer.
+        """
+        
+        layered_history = self.scene.layered_history
+        compiled = []
+        next_layer_start = None
+        
+        for i in range(len(layered_history) - 1, -1, -1):
+            
+            if for_layer_index is not None:
+                if i < for_layer_index:
+                    break
+            
+            log.debug("compilelayered history", i=i, next_layer_start=next_layer_start)
+            
+            if not layered_history[i]:
+                continue
+            
+            entry_num = 1
+            
+            for layered_history_entry in layered_history[i][next_layer_start if next_layer_start is not None else 0:]:
+                text = f"{layered_history_entry['text']}"
+                
+                if for_layer_index == i and max is not None and max <= layered_history_entry["end"]:
+                    break
+                
+                if as_objects:
+                    compiled.append({
+                        "text": text,
+                        "start": layered_history_entry["start"],
+                        "end": layered_history_entry["end"],
+                        "layer": i,
+                        "ts_start": layered_history_entry["ts_start"],
+                        "index": entry_num,
+                    })
+                    entry_num += 1
+                else:
+                    compiled.append(text)
+                
+            next_layer_start = layered_history_entry["end"] + 1
+            
+        if i == 0 and include_base_layer:
+            # we are are at layered history layer zero and inclusion of base layer (archived history) is requested
+            # so we append the base layer to the compiled list, starting from
+            # index `next_layer_start`
+            
+            entry_num = 1
+            
+            for ah in self.scene.archived_history[next_layer_start:]:
+                
+                text = f"{ah['text']}"
+                if as_objects:
+                    compiled.append({
+                        "text": text,
+                        "start": ah["start"],
+                        "end": ah["end"],
+                        "layer": -1,
+                        "ts": ah["ts"],
+                        "index": entry_num,
+                    })
+                    entry_num += 1
+                else:
+                    compiled.append(text)
+            
+        return compiled
+    
+    @set_processing
+    async def list_major_milestones(self, content:str, extra_context:str, as_list:bool=False) -> list[str] | str:
+        """
+        Will generate a list of major milestones in the scene history
+        """
+        
+        response = await Prompt.request(
+            "summarizer.summarize-events-list-milestones",
+            self.client,
+            "analyze_medium3",
+            vars={
+                "scene": self.scene,
+                "max_tokens": self.client.max_token_length,
+                "content": content,
+                "extra_context": extra_context,
+            },
+        )
+        
+        if not as_list:
+            return response
+        
+        try:
+            response = util.extract_list(response)
+        except IndexError as e:
+            log.error("list_major_milestones", error=str(e), response=response)
+            return ""
+        
+        return response
+        
+    
+    @set_processing
+    async def summarize_to_layered_history(self):
+        
+        """
+        The layered history is a summarized archive with dynamic layers that
+        will get less and less granular as the scene progresses.
+        
+        The most granular is still self.scene.archived_history, which holds
+        all the base layer summarizations.
+        
+        self.scene.layered_history = [
+            # first layer after archived_history
+            [
+                {
+                    "start": 0, # index in self.archived_history
+                    "end": 10, # index in self.archived_history
+                    "ts": "PT5M",
+                    "text": "A summary of the first 10 entries"
+                },
+                ...
+            ],
+            
+            # second layer
+            [
+                {
+                    "start": 0, # index in self.scene.layered_history[0]
+                    "end": 5, # index in self.scene.layered_history[0]
+                    "ts": "PT2M",
+                    "text": "A summary of the first 5 entries"
+                },
+                ...
+            ],
+            
+            # additional layers
+            ...
         ]
+        
+        The same token threshold as for the base layer will be used for the
+        layers.
+        
+        The same summarization function will be used for the layers.
+        
+        The next level layer will be generated automatically when the token
+        threshold is reached.
+        """
+        
+        if not self.scene.archived_history:
+            return  # No base layer summaries to work with
+        
+        token_threshold = self.layered_history_threshold
+        method = self.actions["archive"].config["method"].value
+        max_process_tokens = self.layered_history_max_process_tokens
+        max_layers = self.layered_history_max_layers
 
-        # TODO: auto extend?
+        if not hasattr(self.scene, 'layered_history'):
+            self.scene.layered_history = []
+            
+        layered_history = self.scene.layered_history
 
-        time_threshold_in_seconds = util.iso8601_to_seconds(thresholds[level])
+        async def summarize_layer(source_layer, next_layer_index, start_from) -> bool:
+            current_chunk = []
+            current_tokens = 0
+            start_index = start_from
+            noop = True
+            
+            total_tokens_in_previous_layer = util.count_tokens([
+                entry['text'] for entry in source_layer
+            ])
+            estimated_entries = total_tokens_in_previous_layer // token_threshold
 
-        if not time_threshold_in_seconds:
-            raise ValueError(f"Invalid level {level}")
+            for i in range(start_from, len(source_layer)):
+                entry = source_layer[i]
+                entry_tokens = util.count_tokens(entry['text'])
+                
+                log.debug("summarize_to_layered_history", entry=entry["text"][:100]+"...", tokens=entry_tokens, current_layer=next_layer_index-1)
+                
+                if current_tokens + entry_tokens > token_threshold:
+                    if current_chunk:
+                        
+                        try:
+                            # check if the next layer exists
+                            next_layer = layered_history[next_layer_index]
+                        except IndexError:
+                            # create the next layer
+                            layered_history.append([])
+                            log.debug("summarize_to_layered_history", created_layer=next_layer_index)
+                            next_layer = layered_history[next_layer_index]
+                                
+                        ts = current_chunk[0]['ts']
+                        ts_start = current_chunk[0]['ts_start'] if 'ts_start' in current_chunk[0] else ts
+                        ts_end = current_chunk[-1]['ts_end'] if 'ts_end' in current_chunk[-1] else ts
+                        
+                        summaries = []
 
-        # determine the most recent summarized entry time, and then find entries
-        # that are newer than that in the lower list
+                        extra_context = "\n\n".join(
+                            self.compile_layered_history(next_layer_index)
+                        )
 
-        ts = target[-1].ts if target else entries[0].ts
+                        text_length = util.count_tokens("\n\n".join(chunk['text'] for chunk in current_chunk))
 
-        # determine the most recent entry at the lower level, if its not newer or
-        # the difference is less than the threshold, then we don't need to summarize
+                        num_entries_in_layer = len(layered_history[next_layer_index])
 
-        recent_entry = entries[-1]
+                        emit("status", status="busy", message=f"Updating layered history - layer {next_layer_index} - {num_entries_in_layer} / {estimated_entries}", data={"cancellable": True})
+                        
+                        while current_chunk:
+                            
+                            log.debug("summarize_to_layered_history", tokens_in_chunk=util.count_tokens("\n\n".join(chunk['text'] for chunk in current_chunk)), max_process_tokens=max_process_tokens)
+                            
+                            partial_chunk = []
+                            
+                            while current_chunk and util.count_tokens("\n\n".join(chunk['text'] for chunk in partial_chunk)) < max_process_tokens:
+                                partial_chunk.append(current_chunk.pop(0))
+                            
+                            text_to_summarize = "\n\n".join(chunk['text'] for chunk in partial_chunk)
+                        
 
-        if util.iso8601_diff(recent_entry.ts, ts) < time_threshold_in_seconds:
+                            summary_text = await self.summarize(
+                                text_to_summarize,
+                                method=method,
+                                source_type="events",
+                                extra_context=extra_context + "\n\n".join(summaries),
+                            )
+                            noop = False
+                            
+                            # strip all occurences of "CHUNK \d+: " from the summary
+                            summary_text = re.sub(r"(CHUNK|CHAPTER) \d+:\s+", "", summary_text)
+                            
+                            # make sure the first letter is capitalized
+                            summary_text = summary_text[0].upper() + summary_text[1:]
+                            summaries.append(summary_text)
+                            
+                        # if summarized text is longer than the original, we will
+                        # raise an error
+                        if util.count_tokens(summaries) > text_length:
+                            raise SummaryLongerThanOriginalError(text_length, util.count_tokens(summaries))
+                        
+                        log.debug("summarize_to_layered_history", original_length=text_length, summarized_length=util.count_tokens(summaries))
+                        
+                        next_layer.append({
+                            "start": start_index,
+                            "end": i - 1,
+                            "ts": ts,
+                            "ts_start": ts_start,
+                            "ts_end": ts_end,
+                            "text": "\n\n".join(summaries)
+                        })
+                        
+                        emit("status", status="busy", message=f"Updating layered history - layer {next_layer_index} - {num_entries_in_layer+1} / {estimated_entries}")
+                            
+                        current_chunk = []
+                        current_tokens = 0
+                        start_index = i
+
+                current_chunk.append(entry)
+                current_tokens += entry_tokens
+                
+            log.debug("summarize_to_layered_history", tokens=current_tokens, threshold=token_threshold, next_layer=next_layer_index)
+            
+            return not noop
+                
+        
+        # First layer (always the base layer)
+        has_been_updated = False
+        
+        try:
+        
+            if not layered_history:
+                layered_history.append([])
+                log.debug("summarize_to_layered_history", layer="base", new_layer=True)
+                has_been_updated = await summarize_layer(self.scene.archived_history, 0, 0)
+            elif layered_history[0]:
+                # determine starting point by checking for `end` in the last entry
+                last_entry = layered_history[0][-1]
+                end = last_entry["end"]
+                log.debug("summarize_to_layered_history", layer="base", start=end)
+                has_been_updated = await summarize_layer(self.scene.archived_history, 0, end + 1)
+            else:
+                log.debug("summarize_to_layered_history", layer="base", empty=True)
+                has_been_updated = await summarize_layer(self.scene.archived_history, 0, 0)
+                
+        except SummaryLongerThanOriginalError as exc:
+            log.error("summarize_to_layered_history", error=exc, layer="base")
             return
-
-        log.debug("build_stepped_archive", level=level, ts=ts)
-
-        # if target is empty, start is 0
-        # otherwise start is the end of the last entry
-
-        start = 0 if not target else target[-1].end
-
-        # collect entries starting at start until the combined time duration
-        # exceeds the threshold
-
-        entries_to_summarize = []
-
-        for entry in entries[start:]:
-            entries_to_summarize.append(entry)
-            if util.iso8601_diff(entry.ts, ts) > time_threshold_in_seconds:
-                break
-
-        # summarize the entries
-        # we also collect N entries of previous summaries to use as context
-
-        num_previous = self.actions["archive"].config["include_previous"].value
-        if num_previous > 0:
-            extra_context = "\n\n".join(
-                [entry["text"] for entry in target[-num_previous:]]
-            )
+        except GenerationCancelled:
+            log.info("Generation cancelled, stopping rebuild of historical layered history")
+            emit("status", message="Rebuilding of layered history cancelled", status="info")
+            return
+            
+        # process layers
+        async def update_layers() -> bool:
+            noop = True
+            for index in range(0, len(layered_history)):
+                
+                # check against max layers
+                if index + 1 > max_layers:
+                    return False
+                
+                try:
+                    # check if the next layer exists
+                    next_layer = layered_history[index + 1]
+                except IndexError:
+                    next_layer = None
+                
+                end = next_layer[-1]["end"] if next_layer else 0
+                
+                log.debug("summarize_to_layered_history", layer=index, start=end)
+                summarized = await summarize_layer(layered_history[index], index + 1, end + 1 if end else 0)
+                
+                if summarized:
+                    noop = False
+                    
+            return not noop
+        
+        try:
+            while await update_layers():
+                has_been_updated = True
+            if has_been_updated:
+                emit("status", status="success", message="Layered history updated.")
+            
+        except SummaryLongerThanOriginalError as exc:
+            log.error("summarize_to_layered_history", error=exc, layer="subsequent")
+            emit("status", status="error", message="Layered history update failed.")
+            return
+        except GenerationCancelled:
+            log.info("Generation cancelled, stopping rebuild of historical layered history")
+            emit("status", message="Rebuilding of layered history cancelled", status="info")
+            return
+        
+    @set_processing
+    async def dig_layered_history(
+        self,
+        query: str,
+        entry: dict | None = None,
+        context: list[str] | None = None,
+        dig_question: str | None = None,
+        character: Character | None = None,
+    ):
+        
+        """
+        Digs through the layered history in order to answer a query
+        """
+        
+        is_initial = entry is None
+        
+        if not self.layered_history_enabled:
+            return ""
+        
+        if not self.scene.layered_history or not self.scene.layered_history[0]:
+            log.debug("dig_layered_history", skip="No history to dig through")
+            return ""
+        
+        
+        entries = []
+        
+        if not entry:
+            entries = self.compile_layered_history(as_objects=True, include_base_layer=True)
+            layer = len(self.scene.layered_history) - 1
+        elif "layer" in entry:
+            layer = entry["layer"] - 1
+            
+            if layer > -1:
+                entries = self.scene.layered_history[layer][entry["start"]:entry["end"]+1]
+                # add `layer` entry to each
+                for _entry in entries:
+                    _entry["layer"] = layer
+            elif layer == -1:
+                entries = self.scene.archived_history[entry["start"]:entry["end"]+1]
+                # set layer to -1 for all entries
+                for _entry in entries:
+                    _entry["layer"] = -1
+            elif layer == -2:
+                # TODO: expand into message history here?
+                entries = [entry]
         else:
-            extra_context = None
-
-        summarized = await self.summarize(
-            "\n".join(map(str, entries_to_summarize)), extra_context=extra_context
-        )
-
-        # push summarized entry to target
-
-        ts = entries_to_summarize[-1].ts
-
-        target.append(
-            data_objects.ArchiveEntry(
-                summarized, start, len(entries_to_summarize) - 1, ts=ts
-            )
+            log.error("dig_layered_history", error="No layer information", entry=entry)
+            return ""
+        
+        
+        if not entries:
+            log.error("dig_layered_history", skip="No entries to dig through")
+            return ""
+        
+        response = await Prompt.request(
+            "summarizer.dig-layered-history",
+            self.client,
+            "analyze_freeform_long",
+            vars={
+                "scene": self.scene,
+                "max_tokens": self.client.max_token_length,
+                "query": query,
+                "layer": layer,
+                "entries": entries,
+                "context": context,
+                "is_initial": is_initial,
+                "dig_question": dig_question,
+                "character": character,
+            },
+            dedupe_enabled=False,
         )
+        
+        # replace ```python with ``` to avoid markdown issues
+        response = response.replace("```python", "```")
+        
+        # find the first ```
+        code_block_start = response.find("```")
+        if code_block_start == -1:
+            log.error("dig_layered_history", error="No code block found", response=response)
+            return ""
+        
+        log.debug("dig_layered_history", code_block_start=code_block_start)
+        
+        code_block = response[code_block_start:].split("```",2)[1].strip()
+        
+        log.debug("dig_layered_history", code_block=code_block)
+        
+        # replace potential linebreaks after ( and before )
+        
+        code_block = re.sub(r"\(\n", "(", code_block, flags=re.MULTILINE)
+        code_block = re.sub(r"\n\)", ")", code_block, flags=re.MULTILINE)
+        
+        function_calls = code_block.split("\n")[:3] # max 3 function calls
+        
+        log.debug("dig_layered_history", function_calls=function_calls)
+        
+        answers = []
+        
+        for function_call in function_calls:
+            
+            answer = None
+        
+            log.debug("dig_layered_history", function_name=function_call)
+            
+            function_name = function_call.split("(")[0].strip()
+            
+            if function_name == "dig":
+                # dig further
+                # dig arguments are provided as chapter number and question
+                # dig(1, "What is the significance of the red door?")
+                
+                # use regex to parse
+                
+                match = re.match(r"dig\((\d+),\s*[\"'](.+)[\"']\s?\)", function_call)
+                
+                if not match:
+                    log.error("dig_layered_history", error="Invalid argument for `dig`", arg=function_call)
+                    continue
+                
+                    
+                dig_into_chapter = int(match.group(1))
+                dig_question = match.group(2)
+                
+                log.debug("dig_layered_history", into_item=dig_into_chapter, question=dig_question)
+                
+                # if into item is larger, just max it out
+                if dig_into_chapter > len(entries):
+                    dig_into_chapter = len(entries) 
+                
+                try:
+                    entry = entries[dig_into_chapter-1]
+                except IndexError:
+                    log.error("dig_layered_history", error="Index out of range", into_item=dig_into_chapter, layer=layer)
+                    continue
+                except Exception as e:
+                    log.error("dig_layered_history", error=str(e), into_item=dig_into_chapter, layer=layer)
+                    continue
+                
+                # if entry is a layer -1 entry there is nothing to dig.
+                if entry["layer"] == -1:
+                    log.debug("dig_layered_history", skip="Digging into layer -1 entry")
+                    continue
+                
+                log.debug("dig_layered_history", into_item=dig_into_chapter, layer=layer-1, start=entry["start"], end=entry["end"])
+                answer = await self.dig_layered_history(
+                    query,
+                    entry,
+                    context=(context or []) + (entries[:dig_into_chapter-1] if dig_into_chapter > 1 else []),
+                    dig_question=dig_question,
+                    character=character,
+                ) 
+                if answer:
+                    answers.append(f"{dig_question}\n{answer}")
+                    break
+            elif function_name == "abort":
+                continue
+            elif function_name == "answer":
+                try:
+                    answer = function_call.split("(")[1].split(")")[0].strip()
+                except IndexError:
+                    log.error("dig_layered_history", error="Invalid argument for `answer`", arg=function_call)
+                    continue
+                answers.append(answer)
+                break
+            else:
+                # Treat contents of code block as a single answer
+                answers.append(code_block)
+                break
+            
+        log.debug("dig_layered_history", answers=answers)
+            
+        return "\n".join(answers) if answers else ""
+    
+    def inject_prompt_paramters(
+        self, prompt_param: dict, kind: str, agent_function_name: str
+    ):
+        if agent_function_name == "dig_layered_history":
+            if prompt_param.get("extra_stopping_strings") is None:
+                prompt_param["extra_stopping_strings"] = []
+            prompt_param["extra_stopping_strings"] += ["DONE"]
diff --git a/src/talemate/agents/visual/style.py b/src/talemate/agents/visual/style.py
index d2540466..0a26b315 100644
--- a/src/talemate/agents/visual/style.py
+++ b/src/talemate/agents/visual/style.py
@@ -83,24 +83,24 @@ class Style(pydantic.BaseModel):
 # Almost taken straight from some of the fooocus style presets, credit goes to the original author
 
 STYLE_MAP["digital_art"] = Style(
-    keywords="digital artwork, masterpiece, best quality, high detail".split(", "),
+    keywords="in the style of a digital artwork, masterpiece, best quality, high detail".split(", "),
     negative_keywords="text, watermark, low quality, blurry, photo".split(", "),
 )
 
 STYLE_MAP["concept_art"] = Style(
-    keywords="concept art, conceptual sketch, masterpiece, best quality, high detail".split(
+    keywords="in the style of concept art, conceptual sketch, masterpiece, best quality, high detail".split(
         ", "
     ),
     negative_keywords="text, watermark, low quality, blurry, photo".split(", "),
 )
 
 STYLE_MAP["ink_illustration"] = Style(
-    keywords="ink illustration, painting, masterpiece, best quality".split(", "),
+    keywords="in the style of ink illustration, painting, masterpiece, best quality".split(", "),
     negative_keywords="text, watermark, low quality, blurry, photo".split(", "),
 )
 
 STYLE_MAP["anime"] = Style(
-    keywords="anime, masterpiece, best quality, illustration".split(", "),
+    keywords="in the style of anime, masterpiece, best quality, illustration".split(", "),
     negative_keywords="text, watermark, low quality, blurry, photo, 3d".split(", "),
 )
 
diff --git a/src/talemate/agents/world_state.py b/src/talemate/agents/world_state.py
index 1d690342..ea9b75d9 100644
--- a/src/talemate/agents/world_state.py
+++ b/src/talemate/agents/world_state.py
@@ -16,7 +16,6 @@ from talemate.events import GameLoopEvent
 from talemate.instance import get_agent
 from talemate.prompts import Prompt
 from talemate.scene_message import (
-    DirectorMessage,
     ReinforcementMessage,
     TimePassageMessage,
 )
@@ -291,16 +290,18 @@ class WorldStateAgent(Agent):
         self,
         text: str,
         goal: str,
+        include_character_context: bool = False,
     ):
         response = await Prompt.request(
             "world_state.analyze-text-and-extract-context",
             self.client,
-            "analyze_freeform",
+            "analyze_freeform_long",
             vars={
                 "scene": self.scene,
                 "max_tokens": self.client.max_token_length,
                 "text": text,
                 "goal": goal,
+                "include_character_context": include_character_context,
             },
         )
 
@@ -315,6 +316,7 @@ class WorldStateAgent(Agent):
         self,
         text: str,
         goal: str,
+        include_character_context: bool = False,
     ) -> list[str]:
         response = await Prompt.request(
             "world_state.analyze-text-and-generate-rag-queries",
@@ -325,6 +327,7 @@ class WorldStateAgent(Agent):
                 "max_tokens": self.client.max_token_length,
                 "text": text,
                 "goal": goal,
+                "include_character_context": include_character_context,
             },
         )
 
@@ -506,7 +509,7 @@ class WorldStateAgent(Agent):
         return response
 
     @set_processing
-    async def update_reinforcements(self, force: bool = False):
+    async def update_reinforcements(self, force: bool = False, reset: bool = False):
         """
         Queries due worldstate re-inforcements
         """
@@ -514,7 +517,7 @@ class WorldStateAgent(Agent):
         for reinforcement in self.scene.world_state.reinforce:
             if reinforcement.due <= 0 or force:
                 await self.update_reinforcement(
-                    reinforcement.question, reinforcement.character
+                    reinforcement.question, reinforcement.character, reset=reset
                 )
             else:
                 reinforcement.due -= 1
@@ -692,7 +695,7 @@ class WorldStateAgent(Agent):
 
         summary = await summarizer.summarize(
             text,
-            extra_context=extra_context,
+            extra_context=[extra_context],
             method="short",
             extra_instructions="Pay particularly close attention to decisions, agreements or promises made.",
         )
diff --git a/src/talemate/client/openai.py b/src/talemate/client/openai.py
index 4471e0fa..fa8537a3 100644
--- a/src/talemate/client/openai.py
+++ b/src/talemate/client/openai.py
@@ -29,6 +29,9 @@ SUPPORTED_MODELS = [
     "gpt-4-turbo-2024-04-09",
     "gpt-4-turbo",
     "gpt-4o-2024-05-13",
+    "gpt-4o-2024-08-06",
+    "gpt-4o-2024-11-20",
+    "gpt-4o-latest",
     "gpt-4o",
     "gpt-4o-mini",
     "o1-preview",
@@ -38,6 +41,9 @@ SUPPORTED_MODELS = [
 # any model starting with gpt-4- is assumed to support 'json_object'
 # for others we need to explicitly state the model name
 JSON_OBJECT_RESPONSE_MODELS = [
+    "gpt-4o-2024-08-06",
+    "gpt-4o-2024-11-20",
+    "gpt-4o-latest",
     "gpt-4o",
     "gpt-4o-mini",
     "gpt-3.5-turbo-0125",
@@ -209,6 +215,10 @@ class OpenAIClient(ClientBase):
             self.max_token_length = min(max_token_length or 8192, 8192)
         elif model == "gpt-3.5-turbo-16k":
             self.max_token_length = min(max_token_length or 16384, 16384)
+        elif model.startswith("gpt-4o") and model != "gpt-4o-2024-05-13":
+            self.max_token_length = min(max_token_length or 16384, 16384)
+        elif model == "gpt-4o-2024-05-13":
+            self.max_token_length = min(max_token_length or 4096, 4096)
         elif model == "gpt-4-1106-preview":
             self.max_token_length = min(max_token_length or 128000, 128000)
         else:
diff --git a/src/talemate/client/presets.py b/src/talemate/client/presets.py
index 286901c6..0741fe35 100644
--- a/src/talemate/client/presets.py
+++ b/src/talemate/client/presets.py
@@ -83,6 +83,8 @@ PRESET_SUBSTRING_MAPPINGS = {
     "creative": "creative",
     "analytical": "analytical",
     "analyze": "analytical",
+    "direction": "scene_direction",
+    "summarize": "summarization",
 }
 
 PRESET_MAPPING = {
@@ -93,6 +95,8 @@ PRESET_MAPPING = {
     "analyze_long": "analytical",
     "analyze_freeform": "analytical",
     "analyze_freeform_short": "analytical",
+    "analyze_freeform_medium": "analytical",
+    "analyze_freeform_medium_short": "analytical",
     "narrate": "creative",
     "create": "creative_instruction",
     "create_short": "creative_instruction",
@@ -132,7 +136,7 @@ def preset_for_kind(kind: str, client: "ClientBase") -> dict:
 TOKEN_MAPPING = {
     "conversation": 75,
     "conversation_select_talking_actor": 30,
-    "summarize": 500,
+    "summarize": 512,
     "analyze": 500,
     "analyze_long": 2048,
     "analyze_freeform": 500,
@@ -154,7 +158,9 @@ TOKEN_MAPPING = {
 TOKEN_SUBSTRING_MAPPINGS = {
     "extensive": 2048,
     "long": 1024,
+    "medium3": 750,
     "medium2": 512,
+    "list": 300,
     "medium": 192,
     "short2": 128,
     "short": 75,
diff --git a/src/talemate/commands/__init__.py b/src/talemate/commands/__init__.py
index 00416460..e992f653 100644
--- a/src/talemate/commands/__init__.py
+++ b/src/talemate/commands/__init__.py
@@ -3,7 +3,7 @@ from .cmd_autocomplete import *
 from .cmd_characters import *
 from .cmd_debug_tools import *
 from .cmd_dialogue import *
-from .cmd_director import CmdDirectorDirect, CmdDirectorDirectWithOverride
+from .cmd_director import *
 from .cmd_exit import CmdExit
 from .cmd_help import CmdHelp
 from .cmd_info import CmdInfo
diff --git a/src/talemate/commands/cmd_debug_tools.py b/src/talemate/commands/cmd_debug_tools.py
index 6722667d..717cf2fa 100644
--- a/src/talemate/commands/cmd_debug_tools.py
+++ b/src/talemate/commands/cmd_debug_tools.py
@@ -7,12 +7,17 @@ import structlog
 from talemate.commands.base import TalemateCommand
 from talemate.commands.manager import register
 from talemate.prompts.base import set_default_sectioning_handler
+from talemate.instance import get_agent
 
 __all__ = [
     "CmdDebugOn",
     "CmdDebugOff",
     "CmdPromptChangeSectioning",
     "CmdRunAutomatic",
+    "CmdSummarizerGenerateTimeline",
+    "CmdSummarizerUpdatedLayeredHistory",
+    "CmdSummarizerResetLayeredHistory",
+    "CmdSummarizerDigLayeredHistory",
 ]
 
 log = structlog.get_logger("talemate.commands.cmd_debug_tools")
@@ -178,3 +183,68 @@ class CmdDumpSceneSerialization(TalemateCommand):
 
     async def run(self):
         log.debug("dump_scene_serialization", serialization=self.scene.json)
+
+@register
+class CmdSummarizerGenerateTimeline(TalemateCommand):
+    """
+    Command class for the 'summarizer_generate_timeline' command
+    """
+
+    name = "summarizer_generate_timeline"
+    description = "Generate a timeline from the scene"
+    aliases = ["generate_timeline"]
+
+    async def run(self):
+        summarizer = get_agent("summarizer")
+
+        await summarizer.generate_timeline()
+        
+@register
+class CmdSummarizerUpdatedLayeredHistory(TalemateCommand):
+    """
+    Command class for the 'summarizer_updated_layered_history' command
+    """
+
+    name = "summarizer_updated_layered_history"
+    description = "Update the stepped archive for the summarizer"
+    aliases = ["update_layered_history"]
+
+    async def run(self):
+        summarizer = get_agent("summarizer")
+
+        await summarizer.summarize_to_layered_history()
+        
+@register
+class CmdSummarizerResetLayeredHistory(TalemateCommand):
+    """
+    Command class for the 'summarizer_reset_layered_history' command
+    """
+
+    name = "summarizer_reset_layered_history"
+    description = "Reset the stepped archive for the summarizer"
+    aliases = ["reset_layered_history"]
+
+    async def run(self):
+        summarizer = get_agent("summarizer")
+        self.scene.layered_history = []
+        await summarizer.summarize_to_layered_history()
+        
+@register
+class CmdSummarizerDigLayeredHistory(TalemateCommand):
+    """
+    Command class for the 'summarizer_dig_layered_history' command
+    """
+
+    name = "summarizer_dig_layered_history"
+    description = "Dig into the layered history"
+    aliases = ["dig_layered_history"]
+
+    async def run(self):
+        if not self.args:
+            self.emit("system", "You must specify a query")
+            
+        query = self.args[0]
+        
+        summarizer = get_agent("summarizer")
+        
+        await summarizer.dig_layered_history(query)
\ No newline at end of file
diff --git a/src/talemate/commands/cmd_director.py b/src/talemate/commands/cmd_director.py
index dbdc1a66..0a65f4c3 100644
--- a/src/talemate/commands/cmd_director.py
+++ b/src/talemate/commands/cmd_director.py
@@ -4,6 +4,11 @@ from talemate.emit import emit, wait_for_input
 from talemate.scene_message import DirectorMessage
 from talemate.util import colored_text, wrap_text
 
+__all__ = [
+    "CmdDirectorDirect",
+    "CmdDirectorDirectWithOverride",
+    "CmdDirectorGenerateChoices",
+]
 
 @register
 class CmdDirectorDirect(TalemateCommand):
@@ -64,3 +69,22 @@ class CmdDirectorDirectWithOverride(CmdDirectorDirect):
 
     async def run(self):
         await super().run(ask_for_input=True)
+
+@register
+class CmdDirectorGenerateChoices(TalemateCommand):
+    """
+    Command class for the 'director' command
+    """
+
+    name = "director_generate_choices"
+    description = "Calls a director to generate choices for a character"
+    aliases = ["generate_choices"]
+
+    async def run(self, ask_for_input=True):
+        director = self.scene.get_helper("director")
+
+        if not director:
+            self.system_message("No director found")
+            return True
+
+        choices = await director.agent.generate_choices()
\ No newline at end of file
diff --git a/src/talemate/commands/cmd_rebuild_archive.py b/src/talemate/commands/cmd_rebuild_archive.py
index 48889501..0bf04833 100644
--- a/src/talemate/commands/cmd_rebuild_archive.py
+++ b/src/talemate/commands/cmd_rebuild_archive.py
@@ -17,6 +17,7 @@ class CmdRebuildArchive(TalemateCommand):
 
     async def run(self):
         summarizer = self.scene.get_helper("summarizer")
+        memory = self.scene.get_helper("memory")
 
         if not summarizer:
             self.system_message("No summarizer found")
@@ -27,11 +28,9 @@ class CmdRebuildArchive(TalemateCommand):
             ah for ah in self.scene.archived_history if ah.get("end") is None
         ]
 
-        self.scene.ts = (
-            self.scene.archived_history[-1].ts
-            if self.scene.archived_history
-            else "PT0S"
-        )
+        self.scene.ts = "PT0S"
+        
+        memory.delete({"typ": "history"})
 
         entries = 0
         total_entries = summarizer.agent.estimated_entry_count
@@ -42,7 +41,10 @@ class CmdRebuildArchive(TalemateCommand):
                 status="busy",
             )
             more = await summarizer.agent.build_archive(self.scene)
+            self.scene.sync_time()
+            
             entries += 1
+            
             if not more:
                 break
 
diff --git a/src/talemate/config.py b/src/talemate/config.py
index 772059c2..6ab5df31 100644
--- a/src/talemate/config.py
+++ b/src/talemate/config.py
@@ -434,6 +434,33 @@ AnnotatedClient = Annotated[
 ]
 
 
+class HistoryMessageStyle(BaseModel):
+    italic: bool = False
+    bold: bool = False
+    
+    # Leave None for default color
+    color: str | None = None 
+
+
+class HidableHistoryMessageStyle(HistoryMessageStyle):
+    # certain messages can be hidden, but all messages are shown by default
+    show: bool = True
+    
+
+class SceneAppearance(BaseModel):
+
+    narrator_messages: HistoryMessageStyle = HistoryMessageStyle(italic=True)
+    character_messages: HistoryMessageStyle = HistoryMessageStyle()
+    director_messages: HidableHistoryMessageStyle = HidableHistoryMessageStyle()
+    time_messages: HistoryMessageStyle = HistoryMessageStyle()
+    context_investigation_messages: HidableHistoryMessageStyle = HidableHistoryMessageStyle()
+    
+class Appearance(BaseModel):
+    
+    scene: SceneAppearance = SceneAppearance()
+    
+
+
 class Config(BaseModel):
     clients: Dict[str, AnnotatedClient] = {}
 
@@ -466,6 +493,8 @@ class Config(BaseModel):
     recent_scenes: RecentScenes = RecentScenes()
 
     presets: Presets = Presets()
+    
+    appearance: Appearance = Appearance()
 
     class Config:
         extra = "ignore"
diff --git a/src/talemate/context.py b/src/talemate/context.py
index 21679b8e..8e2fe330 100644
--- a/src/talemate/context.py
+++ b/src/talemate/context.py
@@ -3,7 +3,10 @@ from contextvars import ContextVar
 import pydantic
 import structlog
 
+from talemate.exceptions import SceneInactiveError
+
 __all__ = [
+    "assert_active_scene",
     "scene_is_loading",
     "rerun_context",
     "active_scene",
@@ -19,6 +22,8 @@ log = structlog.get_logger(__name__)
 
 class InteractionState(pydantic.BaseModel):
     act_as: str | None = None
+    from_choice: str | None = None
+    input: str | None = None
 
 
 scene_is_loading = ContextVar("scene_is_loading", default=None)
@@ -79,3 +84,11 @@ class Interaction:
 
     def __exit__(self, *args):
         interaction.reset(self.token)
+
+
+def assert_active_scene(scene: object):
+    if not active_scene.get():
+        raise SceneInactiveError("Scene is not active")
+    
+    if active_scene.get() != scene:
+        raise SceneInactiveError("Scene has changed")
\ No newline at end of file
diff --git a/src/talemate/emit/base.py b/src/talemate/emit/base.py
index 45640c83..eb164284 100644
--- a/src/talemate/emit/base.py
+++ b/src/talemate/emit/base.py
@@ -123,7 +123,17 @@ async def wait_for_input(
 
     while input_received["message"] is None:
         await asyncio.sleep(0.1)
-
+        
+        interaction_state = interaction.get()
+        
+        if interaction_state.input:
+            input_received["message"] = interaction_state.input
+            input_received["interaction"] = interaction_state
+            input_received["from_choice"] = interaction_state.from_choice
+            interaction_state.input = None
+            interaction_state.from_choice = None
+            break
+        
     handlers["receive_input"].disconnect(input_receiver)
 
     if input_received["message"] == "!abort":
diff --git a/src/talemate/emit/signals.py b/src/talemate/emit/signals.py
index b42f4834..2db8d49e 100644
--- a/src/talemate/emit/signals.py
+++ b/src/talemate/emit/signals.py
@@ -8,6 +8,8 @@ DirectorMessage = signal("director")
 TimePassageMessage = signal("time")
 StatusMessage = signal("status")
 ReinforcementMessage = signal("reinforcement")
+PlayerChoiceMessage = signal("player_choice")
+ContextInvestigationMessage = signal("context_investigation")
 
 ClearScreen = signal("clear_screen")
 
@@ -49,6 +51,7 @@ handlers = {
     "player": PlayerMessage,
     "director": DirectorMessage,
     "time": TimePassageMessage,
+    "context_investigation": ContextInvestigationMessage,
     "reinforcement": ReinforcementMessage,
     "request_input": RequestInput,
     "receive_input": ReceiveInput,
@@ -73,4 +76,5 @@ handlers = {
     "autocomplete_suggestion": AutocompleteSuggestion,
     "spice_applied": SpiceApplied,
     "memory_request": MemoryRequest,
+    "player_choice": PlayerChoiceMessage,
 }
diff --git a/src/talemate/events.py b/src/talemate/events.py
index 16b323d8..9aa7d73a 100644
--- a/src/talemate/events.py
+++ b/src/talemate/events.py
@@ -65,3 +65,8 @@ class GameLoopActorIterEvent(GameLoopBase):
 @dataclass
 class GameLoopNewMessageEvent(GameLoopBase):
     message: SceneMessage
+
+
+@dataclass
+class PlayerTurnStartEvent(Event):
+    pass
\ No newline at end of file
diff --git a/src/talemate/game/engine/api/scene.py b/src/talemate/game/engine/api/scene.py
index 4fe47faa..e54cfbed 100644
--- a/src/talemate/game/engine/api/scene.py
+++ b/src/talemate/game/engine/api/scene.py
@@ -93,7 +93,7 @@ def create(scene: "Scene") -> "ScopedAPI":
 
             validated = Arguments(budget=budget, keep_director=keep_director)
 
-            return scene.context_history(validated.budget, validated.keep_director)
+            return scene.context_history(validated.budget, keep_director=validated.keep_director)
 
         def get_player_character(self) -> schema.CharacterSchema | None:
             """
diff --git a/src/talemate/history.py b/src/talemate/history.py
index fb73466d..061c1403 100644
--- a/src/talemate/history.py
+++ b/src/talemate/history.py
@@ -14,6 +14,7 @@ from talemate.instance import get_agent
 from talemate.scene_message import SceneMessage
 from talemate.util import iso8601_diff_to_human
 from talemate.world_state.templates import GenerationOptions
+from talemate.exceptions import GenerationCancelled
 
 if TYPE_CHECKING:
     from talemate.tale_mate import Scene
@@ -78,7 +79,11 @@ def history_with_relative_time(history: list[str], scene_time: str) -> list[dict
         {
             "text": entry["text"],
             "ts": entry["ts"],
+            "ts_start": entry.get("ts_start", None),
+            "ts_end": entry.get("ts_end", None),
             "time": iso8601_diff_to_human(scene_time, entry["ts"]),
+            "time_start": iso8601_diff_to_human(scene_time, entry["ts_start"] if entry.get("ts_start") else None),
+            "time_end": iso8601_diff_to_human(scene_time, entry["ts_end"] if entry.get("ts_end") else None),
         }
         for entry in history
     ]
@@ -97,10 +102,12 @@ async def rebuild_history(
     scene.archived_history = [
         ah for ah in scene.archived_history if ah.get("end") is None
     ]
+    
+    scene.layered_history = []
 
     scene.saved = False
 
-    scene.ts = scene.archived_history[-1].ts if scene.archived_history else "PT0S"
+    scene.sync_time()
 
     summarizer = get_agent("summarizer")
 
@@ -109,6 +116,8 @@ async def rebuild_history(
 
     try:
         while True:
+            
+            await asyncio.sleep(0.1)
 
             if not scene.active:
                 # scene is no longer active
@@ -120,20 +129,25 @@ async def rebuild_history(
                 "status",
                 message=f"Rebuilding historical archive... {entries}/~{total_entries}",
                 status="busy",
+                data={"cancellable": True},
             )
 
             more = await summarizer.build_archive(
                 scene, generation_options=generation_options
             )
 
-            scene.ts = scene.archived_history[-1]["ts"]
+            scene.sync_time()
 
             if callback:
-                callback()
+                await callback()
 
             entries += 1
             if not more:
                 break
+    except GenerationCancelled:
+        log.info("Generation cancelled, stopping rebuild of historical archive")
+        emit("status", message="Rebuilding of archive cancelled", status="info")
+        return
     except Exception as e:
         log.exception("Error rebuilding historical archive", error=e)
         emit("status", message="Error rebuilding historical archive", status="error")
@@ -141,4 +155,9 @@ async def rebuild_history(
 
     scene.sync_time()
     await scene.commit_to_memory()
+    
+    if summarizer.layered_history_enabled:
+        emit("status", message="Rebuilding layered history...", status="busy")
+        await summarizer.summarize_to_layered_history()
+    
     emit("status", message="Historical archive rebuilt", status="success")
diff --git a/src/talemate/load.py b/src/talemate/load.py
index fac0a02f..e0f379c1 100644
--- a/src/talemate/load.py
+++ b/src/talemate/load.py
@@ -228,6 +228,7 @@ async def load_scene_from_data(
         scene.memory_session_id = scene_data.get("memory_session_id", None)
         scene.history = _load_history(scene_data["history"])
         scene.archived_history = scene_data["archived_history"]
+        scene.layered_history = scene_data.get("layered_history", [])
         scene.world_state = WorldState(**scene_data.get("world_state", {}))
         scene.game_state = GameState(**scene_data.get("game_state", {}))
         scene.context = scene_data.get("context", "")
@@ -237,7 +238,7 @@ async def load_scene_from_data(
         scene.assets.cover_image = scene_data.get("assets", {}).get("cover_image", None)
         scene.assets.load_assets(scene_data.get("assets", {}).get("assets", {}))
 
-        scene.sync_time()
+        scene.fix_time()
         log.debug("scene time", ts=scene.ts)
 
     loading_status("Initializing long-term memory...")
diff --git a/src/talemate/prompts/base.py b/src/talemate/prompts/base.py
index 48d85a16..24ddd9d0 100644
--- a/src/talemate/prompts/base.py
+++ b/src/talemate/prompts/base.py
@@ -23,7 +23,7 @@ import structlog
 import talemate.instance as instance
 import talemate.thematic_generators as thematic_generators
 from talemate.config import load_config
-from talemate.context import rerun_context
+from talemate.context import rerun_context, active_scene
 from talemate.emit import emit
 from talemate.exceptions import LLMAccuracyError, RenderPromptError
 from talemate.util import (
@@ -32,6 +32,7 @@ from talemate.util import (
     extract_json,
     fix_faulty_json,
     remove_extra_linebreaks,
+    iso8601_diff_to_human,
 )
 from talemate.util.prompt import condensed
 
@@ -366,8 +367,10 @@ class Prompt:
         env.globals["instruct_text"] = self.instruct_text
         env.globals["agent_action"] = self.agent_action
         env.globals["retrieve_memories"] = self.retrieve_memories
+        env.globals["time_diff"] = self.time_diff
         env.globals["uuidgen"] = lambda: str(uuid.uuid4())
         env.globals["to_int"] = lambda x: int(x)
+        env.globals["to_str"] = lambda x: str(x)
         env.globals["config"] = self.config
         env.globals["len"] = lambda x: len(x)
         env.globals["max"] = lambda x, y: max(x, y)
@@ -386,6 +389,7 @@ class Prompt:
         env.globals["llm_can_be_coerced"] = lambda: (
             self.client.can_be_coerced if self.client else False
         )
+        env.globals["text_to_chunks"] = self.text_to_chunks
         env.globals["emit_narrator"] = lambda message: emit("system", message=message)
         env.filters["condensed"] = condensed
         ctx.update(self.vars)
@@ -400,7 +404,7 @@ class Prompt:
 
         # Render the template with the prompt variables
         self.eval_context = {}
-        self.dedupe_enabled = True
+        #self.dedupe_enabled = True
         try:
             self.prompt = template.render(ctx)
             if not sectioning_handler:
@@ -599,6 +603,44 @@ class Prompt:
         else:
             emit("status", status=status, message=message)
 
+    def time_diff(self, iso8601_time: str):
+        scene = active_scene.get()
+        if not iso8601_time:
+            return ""
+        return iso8601_diff_to_human(iso8601_time, scene.ts)
+
+    def text_to_chunks(self, text:str, chunk_size:int=512) -> list[str]:
+        """
+        Takes a text string and splits it into chunks based length of the text.
+        
+        Arguments:
+        
+        - text: The text to split into chunks.
+        - chunk_size: number of characters in each chunk.
+        """
+        
+        chunks = []
+        
+        for i, line in enumerate(text.split("\n")):
+            
+            # dont push empty lines into empty chunks
+            if not line.strip() and (not chunks or not chunks[-1]):
+                continue
+            
+            if not chunks:
+                chunks.append([line])
+                continue
+            
+            if len("\n".join(chunks[-1])) + len(line) < chunk_size:
+                chunks[-1].append(line)
+            else:
+                chunks.append([line])
+        
+
+        return ["\n\n".join(chunk) for chunk in chunks]
+        
+
+
     def set_prepared_response(self, response: str, prepend: str = ""):
         """
         Set the prepared response.
diff --git a/src/talemate/prompts/templates/conversation/dialogue-chat.jinja2 b/src/talemate/prompts/templates/conversation/dialogue-chat.jinja2
index c117ccf3..da0345a8 100644
--- a/src/talemate/prompts/templates/conversation/dialogue-chat.jinja2
+++ b/src/talemate/prompts/templates/conversation/dialogue-chat.jinja2
@@ -45,7 +45,7 @@ You may chose to have {{ talking_character.name}} respond to the conversation, o
 Always contain actions in asterisks. For example, *{{ talking_character.name}} smiles*.
 Always contain dialogue in quotation marks. For example, {{ talking_character.name}}: "Hello!"
 
-{{ extra_instructions }}
+{{ task_instructions }}
 
 {% if scene.count_messages() >= 5 and not talking_character.dialogue_instructions %}Use an informal and colloquial register with a conversational tone. Overall, {{ talking_character.name }}'s dialog is informal, conversational, natural, and spontaneous, with a sense of immediacy.
 {% endif -%}
@@ -90,12 +90,8 @@ Always contain dialogue in quotation marks. For example, {{ talking_character.na
 {% endblock -%}
 {% block scene_history -%}
 {% set scene_context = scene.context_history(budget=max_tokens-200-count_tokens(self.rendered_context()), min_dialogue=15, sections=False, keep_director=talking_character.name) -%}
-{%- if talking_character.dialogue_instructions and scene.count_messages() > 5 -%}
-    {%- if scene.count_messages() < 15 -%}
-    {%- set _ = scene_context.insert(-3, "(Internal acting instructions for "+talking_character.name+": "+talking_character.dialogue_instructions+")") -%}
-    {%- else -%}
-    {%- set _ = scene_context.insert(-10, "(Internal acting instructions for "+talking_character.name+": "+talking_character.dialogue_instructions+")") -%}
-    {%- endif -%}
+{%- if actor_instructions_offset > 0 and talking_character.dialogue_instructions and scene.count_messages() > actor_instructions_offset -%}
+    {%- set _ = scene_context.insert(-actor_instructions_offset, "(Internal acting instructions for "+talking_character.name+": "+talking_character.dialogue_instructions+" "+actor_instructions+")") -%}
 {% endif -%}
 {% for scene_line in scene_context -%}
 {{ scene_line }}
@@ -103,8 +99,11 @@ Always contain dialogue in quotation marks. For example, {{ talking_character.na
 {% endfor %}
 {% endblock -%}
 <|CLOSE_SECTION|>
-{% if scene.count_messages() < 5 %}
-{% if not talking_character.dialogue_instructions %}(Use an informal and colloquial register with a conversational tone. Overall, {{ talking_character.name }}'s dialog is informal, conversational, natural, and spontaneous, with a sense of immediacy.){% else %}(Internal acting instructions for {{ talking_character.name }}: {{ talking_character.dialogue_instructions }}){% endif -%}
+{% if scene.count_messages() < actor_instructions_offset or actor_instructions_offset == 0 %}
+{% if not talking_character.dialogue_instructions %}({% if actor_instructions %} {{ actor_instructions }}{% else %}Use an informal and colloquial register with a conversational tone. Overall, {{ talking_character.name }}'s dialog is informal, conversational, natural, and spontaneous, with a sense of immediacy.{% endif -%}){% else %}(Internal acting instructions for {{ talking_character.name }}: {{ talking_character.dialogue_instructions }}{% if actor_instructions %} {{ actor_instructions }}{% endif %}){% endif -%}
+{% endif -%}
+{% if layered_history_investigation %}
+(Internal notes - historic context: {{ layered_history_investigation }})
 {% endif -%}
 {% if rerun_context and rerun_context.direction -%}
 {% if rerun_context.method == 'replace' -%}
@@ -115,4 +114,9 @@ Always contain dialogue in quotation marks. For example, {{ talking_character.na
 # Requested changes: {{ rerun_context.direction }}
 {% endif -%}
 {% endif -%}
+{% if direct_instruction -%}
+{{ talking_character.name }}'s next action: {{ direct_instruction }}
+
+You must not add additional actions.
+{% endif -%}
 {{ bot_token }}{{ talking_character.name }}:{{ partial_message }}
\ No newline at end of file
diff --git a/src/talemate/prompts/templates/conversation/dialogue-movie_script.jinja2 b/src/talemate/prompts/templates/conversation/dialogue-movie_script.jinja2
index 771619d0..e1537299 100644
--- a/src/talemate/prompts/templates/conversation/dialogue-movie_script.jinja2
+++ b/src/talemate/prompts/templates/conversation/dialogue-movie_script.jinja2
@@ -52,7 +52,7 @@ Emotions and actions should be written in italics. For example:
     *smiles* "I'm so glad you're here."
     END-OF-LINE
 
-{{ extra_instructions }}
+{{ task_instructions }}
 
 STAY IN THE SCENE. YOU MUST NOT BREAK CHARACTER. YOU MUST NOT BREAK THE FOURTH WALL.
 
@@ -63,6 +63,11 @@ YOU MUST ONLY WRITE NEW DIALOGUE FOR {{ talking_character.name.upper() }}.
 {% if scene.count_messages() >= 5 and not talking_character.dialogue_instructions %}Use an informal and colloquial register with a conversational tone. Overall, {{ talking_character.name }}'s dialog is informal, conversational, natural, and spontaneous, with a sense of immediacy.
 {% endif -%}
 <|CLOSE_SECTION|>
+<|SECTION:How to use internal notes|>
+Internal notes may be given to you to help you with consistency when writing.
+
+They may be instructions on how the character should act or simply add some context that may inform the character's next dialogue.
+<|CLOSE_SECTION|>
 
 {% set general_reinforcements = scene.world_state.filter_reinforcements(insert=['all-context']) %}
 {% set char_reinforcements = scene.world_state.filter_reinforcements(character=talking_character.name, insert=["conversation-context"]) %}
@@ -104,21 +109,17 @@ YOU MUST ONLY WRITE NEW DIALOGUE FOR {{ talking_character.name.upper() }}.
 {% endblock -%}
 {% block scene_history -%}
 {% set scene_context = scene.context_history(budget=max_tokens-200-count_tokens(self.rendered_context()), min_dialogue=15, sections=False, keep_director=talking_character.name) -%}
-{%- if talking_character.dialogue_instructions and scene.count_messages() > 5 -%}
-    {%- if scene.count_messages() < 15 -%}
-    {%- set _ = scene_context.insert(-3, "(Internal acting instructions for "+talking_character.name+": "+talking_character.dialogue_instructions+")") -%}
-    {%- else -%}
-    {%- set _ = scene_context.insert(-10, "(Internal acting instructions for "+talking_character.name+": "+talking_character.dialogue_instructions+")") -%}
-    {%- endif -%}
+{%- if actor_instructions_offset > 0 and talking_character.dialogue_instructions and scene.count_messages() > actor_instructions_offset -%}
+    {%- set _ = scene_context.insert(-actor_instructions_offset, "(Internal acting instructions for "+talking_character.name+": "+talking_character.dialogue_instructions+" "+actor_instructions+")") -%}
 {% endif -%}
 {% for scene_line in scene_context -%}
-{{ scene_line }}END-OF-LINE
+{{ scene_line }}
 
 {% endfor %}
 {% endblock -%}
 <|CLOSE_SECTION|>
-{% if scene.count_messages() < 5 %}
-{% if not talking_character.dialogue_instructions %}(Use an informal and colloquial register with a conversational tone. Overall, {{ talking_character.name }}'s dialog is informal, conversational, natural, and spontaneous, with a sense of immediacy.){% else %}(Internal acting instructions for {{ talking_character.name }}: {{ talking_character.dialogue_instructions }}){% endif -%}
+{% if scene.count_messages() < actor_instructions_offset or actor_instructions_offset == 0 %}
+{% if not talking_character.dialogue_instructions %}({% if actor_instructions %} {{ actor_instructions }}{% else %}Use an informal and colloquial register with a conversational tone. Overall, {{ talking_character.name }}'s dialog is informal, conversational, natural, and spontaneous, with a sense of immediacy.{% endif -%}){% else %}(Internal acting instructions for {{ talking_character.name }}: {{ talking_character.dialogue_instructions }}{% if actor_instructions %} {{ actor_instructions }}{% endif %}){% endif -%}
 {% endif -%}
 {% if rerun_context and rerun_context.direction -%}
 {% if rerun_context.method == 'replace' -%}
@@ -129,6 +130,11 @@ YOU MUST ONLY WRITE NEW DIALOGUE FOR {{ talking_character.name.upper() }}.
 # Requested changes: {{ rerun_context.direction }}
 {% endif -%}
 {% endif -%}
+{% if direct_instruction -%}
+{{ talking_character.name }}'s next action: {{ direct_instruction }}
+
+You must not add additional actions. You must not add additional actions. Dialogue generated should be natural sounding and realistic. Less is more.
+{% endif -%}
 {{ bot_token }}{{ talking_character.name.upper() }}
 {% if partial_message -%}
 {{ partial_message.strip() }}
diff --git a/src/talemate/prompts/templates/conversation/select-talking-actor.jinja2 b/src/talemate/prompts/templates/conversation/select-talking-actor.jinja2
index 86e7211e..4f19e68f 100644
--- a/src/talemate/prompts/templates/conversation/select-talking-actor.jinja2
+++ b/src/talemate/prompts/templates/conversation/select-talking-actor.jinja2
@@ -16,10 +16,10 @@ Only respond with the character name. For example, if you want to pick the chara
 {% for scene_context in scene.context_history(budget=250, sections=False, add_archieved_history=False) -%}
 {{ scene_context }}
 {% endfor %}
-{% if scene.history[-1].type == "narrator" %}
+{% if llm_can_be_coerced() %}{% if scene.history[-1].type == "narrator" %}
 {{ bot_token }}The next character to speak is
 {% elif scene.prev_actor -%}
 {{ bot_token }}The next character to respond to '{{ scene.history[-1].message }}' is
 {% else -%}
 {{ bot_token }}The next character to respond is
-{% endif %}
\ No newline at end of file
+{% endif %}{% endif %}
\ No newline at end of file
diff --git a/src/talemate/prompts/templates/creator/autocomplete-dialogue.jinja2 b/src/talemate/prompts/templates/creator/autocomplete-dialogue.jinja2
index c750de83..e31a5a98 100644
--- a/src/talemate/prompts/templates/creator/autocomplete-dialogue.jinja2
+++ b/src/talemate/prompts/templates/creator/autocomplete-dialogue.jinja2
@@ -6,7 +6,7 @@
 <|CLOSE_SECTION|>
 {% endblock -%}
 <|SECTION:SCENE|>
-{% for scene_context in scene.context_history(budget=min(2048, max_tokens-300-count_tokens(self.rendered_context())), min_dialogue=20, sections=False) -%}
+{% for scene_context in scene.context_history(budget=max_tokens-300-count_tokens(self.rendered_context()), min_dialogue=20, sections=False) -%}
 {{ scene_context }}
 {% endfor %}
 <|CLOSE_SECTION|>
diff --git a/src/talemate/prompts/templates/director/character-context.jinja2 b/src/talemate/prompts/templates/director/character-context.jinja2
new file mode 100644
index 00000000..42521fe8
--- /dev/null
+++ b/src/talemate/prompts/templates/director/character-context.jinja2
@@ -0,0 +1,12 @@
+<|SECTION:CHARACTERS|>
+{% for character in scene.characters %}
+### {{ character.name }}
+{% if max_tokens > 6000 -%}
+{{ character.sheet }}
+{% else -%}
+{{ character.filtered_sheet(['age', 'gender']) }}
+{{ query_memory("what is "+character.name+"'s personality?", as_question_answer=False) }}
+{% endif %}
+{{ character.description }}
+{% endfor %}
+<|CLOSE_SECTION|>
\ No newline at end of file
diff --git a/src/talemate/prompts/templates/director/generate-choices.jinja2 b/src/talemate/prompts/templates/director/generate-choices.jinja2
new file mode 100644
index 00000000..faf078c0
--- /dev/null
+++ b/src/talemate/prompts/templates/director/generate-choices.jinja2
@@ -0,0 +1,50 @@
+{% block rendered_context -%}
+{% include "character-context.jinja2" -%}
+{% endblock %}
+<|SECTION:SCENE|>
+{% block scene_history -%}
+{% set scene_context = scene.context_history(budget=max_tokens-300-count_tokens(self.rendered_context()), min_dialogue=15, sections=False, keep_director=False) -%}
+{% for scene_line in scene_context -%}
+{{ scene_line }}
+
+{% endfor %}
+{% endblock -%}
+<|CLOSE_SECTION|>
+<|SECTION:TASK|>
+Generate {{ num_choices }} interesting actions for {{ player_character.name }} to advance the current scene in this text adventure game. Consider:
+
+1. Examining intriguing objects or characters for more detail
+2. Interacting with the environment in meaningful ways
+3. Taking actions that naturally progress the story
+
+Format each action as a short, concise command from {{ player_character.name }}'s perspective, such as:
+"Look at the strange artifact."
+"Ask the merchant about the rumors."
+"Climb the crumbling staircase."
+"Inspect the mysterious footprints."
+"Eavesdrop on the whispering guards."
+"Pick up the discarded letter."
+"Offer the beggar a coin."
+"Attempt to decipher the ancient runes."
+"Search the bookshelf for hidden compartments."
+"Try the rusty key in the lock."
+
+Requirements:
+
+- The actions MUST fit the scene's tone and writing style. This is {{ scene.context }}.{% if decensor %} The reader has already consented and is expecting to be exposed to such themes.{% endif %}
+- The text describing the action must be short and concise.
+- Offer varied options without drastic pacing changes, that make sequential sense at the ending of the scene.
+- The actions must be significantly different from each other.
+{% if instructions %}- {{ instructions}}{% endif %}
+
+Expected Response:
+
+You MUST provide your response in the following format:
+
+ANALYSIS: <Brief analysis of what happens at the end of the scene. Specifically pay attention to whether or not another character has had dialogue that could be responded to.>
+PLANNING: <Think through directions to take the scene next. The directions must make sense in relation to the ending state of the scene as it is currently. If another character has said something, include direct responses to that character. Remember, {{ player_character.name }} is the next one to act, so plan from {{ player_character.name }}'s perspective.>
+ACTIONS: 
+1. <first action choice, formatted as a short button label>
+2. <second action choice, formatted as a short button label>
+...
+{{ set_prepared_response('ANALYSIS:') }}
\ No newline at end of file
diff --git a/src/talemate/prompts/templates/narrator/character-context.jinja2 b/src/talemate/prompts/templates/narrator/character-context.jinja2
new file mode 100644
index 00000000..42521fe8
--- /dev/null
+++ b/src/talemate/prompts/templates/narrator/character-context.jinja2
@@ -0,0 +1,12 @@
+<|SECTION:CHARACTERS|>
+{% for character in scene.characters %}
+### {{ character.name }}
+{% if max_tokens > 6000 -%}
+{{ character.sheet }}
+{% else -%}
+{{ character.filtered_sheet(['age', 'gender']) }}
+{{ query_memory("what is "+character.name+"'s personality?", as_question_answer=False) }}
+{% endif %}
+{{ character.description }}
+{% endfor %}
+<|CLOSE_SECTION|>
\ No newline at end of file
diff --git a/src/talemate/prompts/templates/narrator/narrate-query.jinja2 b/src/talemate/prompts/templates/narrator/narrate-query.jinja2
index 081c4c9e..ca0cdb45 100644
--- a/src/talemate/prompts/templates/narrator/narrate-query.jinja2
+++ b/src/talemate/prompts/templates/narrator/narrate-query.jinja2
@@ -14,6 +14,7 @@
 {% set final_line_number=len(scene_history) %}
 {% for scene_context in scene_history -%}
 {{ loop.index }}. {{ scene_context }}
+
 {% endfor %}
 <|SECTION:TASK|>
 {% if query.endswith("?") -%}
diff --git a/src/talemate/prompts/templates/summarizer/analyze-dialogue.jinja2 b/src/talemate/prompts/templates/summarizer/analyze-dialogue.jinja2
index 3c060a81..ce4dee59 100644
--- a/src/talemate/prompts/templates/summarizer/analyze-dialogue.jinja2
+++ b/src/talemate/prompts/templates/summarizer/analyze-dialogue.jinja2
@@ -1,6 +1,8 @@
 
 {{ dialogue }}
 <|SECTION:TASK|>
-Examine the dialogue from the beginning and find the last line that marks a scene change. Repeat the line back to me exactly as it is written.
+Examine the scene progress from the beginning and find the first line that marks the ending of a scene.  Think of this in terms of a TV show or a play, where there is a build up, peak and denouement. You must identify the denouement point. 
+
+Repeat the line back to me exactly as it is written.
 <|CLOSE_SECTION|>
-{{ bot_token }}The first line that marks a scene change is:
\ No newline at end of file
+{{ bot_token }}The first line that marks a denouement point is:
\ No newline at end of file
diff --git a/src/talemate/prompts/templates/summarizer/character-context.jinja2 b/src/talemate/prompts/templates/summarizer/character-context.jinja2
new file mode 100644
index 00000000..42521fe8
--- /dev/null
+++ b/src/talemate/prompts/templates/summarizer/character-context.jinja2
@@ -0,0 +1,12 @@
+<|SECTION:CHARACTERS|>
+{% for character in scene.characters %}
+### {{ character.name }}
+{% if max_tokens > 6000 -%}
+{{ character.sheet }}
+{% else -%}
+{{ character.filtered_sheet(['age', 'gender']) }}
+{{ query_memory("what is "+character.name+"'s personality?", as_question_answer=False) }}
+{% endif %}
+{{ character.description }}
+{% endfor %}
+<|CLOSE_SECTION|>
\ No newline at end of file
diff --git a/src/talemate/prompts/templates/summarizer/dig-layered-history.jinja2 b/src/talemate/prompts/templates/summarizer/dig-layered-history.jinja2
new file mode 100644
index 00000000..19507c73
--- /dev/null
+++ b/src/talemate/prompts/templates/summarizer/dig-layered-history.jinja2
@@ -0,0 +1,135 @@
+{% if context %}
+<|SECTION:HISTORY|>
+{% for entry in context %}
+{{ entry["text"] }}
+
+{% endfor %}
+{% endif %}
+{% set can_dig = layer > -1 %}
+{% for entry in entries %}
+{% if entry.get("layer") > -1 or layer == -1 %}<|SECTION:CHAPTER {{ loop.index }}|>
+{{ time_diff(entry.get("ts_end", entry.get("ts"))) }}
+{{ entry["text"] }}
+<|CLOSE_SECTION|>{% endif %}
+{% endfor %}
+{% if is_initial -%}
+<|SECTION:CURRENT SCENE|>
+{% for entry in entries %}
+{% if entry.get("layer") == -1 %}{{ entry["text"] }}
+
+{% endif %}
+{% endfor %}
+{{ scene.snapshot(lines=15, ignore=['director', 'reinforcement']) }}
+<|CLOSE_SECTION|>
+{% endif %}
+
+{% if is_initial or dig_question %}
+<|SECTION:QUERY|>
+{{ dig_question or query }}
+{% endif %} 
+<|SECTION:TASK|>
+The author of the scene has given YOU - the analyst - a query and is asking you to provide additional context to the actors in the scene. 
+
+{% if is_initial %}- Understand the query, what do we want to find out?
+- For a query to be valid any of the following must be true:
+  - A character is trying to retrieve information in the form of a question.
+  - A location, event, off-scene person or object is refered to that you could gather more information about.
+- The query is invalid if any of these are true:
+  - The answer to the query is already contained within the current scene.
+- If the query is invalid you must call abort() immediately.
+{% endif -%}
+- Read the provided chapters and select one that holds the answer or relevant context.{% if can_dig %} You can also decide to dig chapters for more information.{% else %}
+- If no answer can be provided, but you can provide additional relevant context, that is also acceptable.{% endif %}
+- Select a function to call to process the request.
+
+### Available Functions
+{% if can_dig %}- `dig(chapter_number, question)` to dig into a specific chapter for more information - number must be available and listed as a chapter above. You must call dig multiple times if there are multiple promising chapters to investigate.
+  - Valid chapters to dig: {% for entry in entries %}{% if entry.get("layer") > -1 %}{{ loop.index }}{% if not loop.last %}, {% endif %}{% endif %}{% endfor %}
+  - The question you pass to the dig query must contain enough context to accurately target the event you want to query. Don't be vague, be specific by providing any relevant context you have learned so far. If you are targeting a specific event mention it using a detailed description that leaves no doubt.
+  - Do not mention chapters in your question.{% else %}- `answer(answer)` to provide an answer or context or both.
+  - Use the history for context, but source the answer from the Chapter(s).
+  - You MUST NOT let the query impact the answer. The chapters are the source of truth. The query may imply or assume incorrect things.
+  - The answer MUST be factional information and MUST NOT mention chapter numbers.
+  - Answer the query and provide contextual and circumstantial details.
+  - Limit the answer to two paragraphs.
+  - The answer text must be explanatory summarization, NOT narration.
+  - For historic context include a note about how long ago the situation occured and use past tense. You must always mention how long ago your sourced information was the truth.
+  {% if character %}- Also include a note as to how aware {{ character.name }} is of the information you provided in your answer.{% endif %}
+{% endif %}
+- `abort()` to stop the process if there are no avenues left to explore and there is no information to satisfy the query.
+
+### Rules
+- You MUST NOT mix functions
+{%- if can_dig %}
+- Digging is expensive. Only dig chapters if they are highly likely to be related to the query.{% endif %}
+{%- if not can_dig %}
+- When using the `answer()` function always write from the perspective of the investigator.{% endif %}
+- Use untyped code blocks, so ``` instead of ```python.
+- You must never invent information. Dig instead.
+- End with `DONE` after calling a function.
+- You must not invent or guess, you can however decide to provide extra context if a factual answer is not possible.
+{% if is_initial %}- If the answer contained in current scene the query is invalid and you must abort.{% endif %}
+
+### Response Format
+Follow this format exactly:
+
+{% if is_initial %}QUERY: <Analysis of the query, what could be the reason this query was given to you? Be very strict with your evaluation. Many queries are given in error.>
+
+ANALYSIS:
+- character trying retrieve information: <yes or no>.
+- answer contained in current scene: <yes or no>.
+- location, event, off-scene person or object mentioned: <yes or no>.
+- query valid based on the above: <yes or no>.
+
+<Quick Analysis of the provided information>
+
+{% else %}
+ANALYSIS: <Quick Analysis of the provided information>
+
+{% endif -%}
+
+FUNCTION SELECTED: <Quickly explain which function you have selected and why.>
+
+CALL:
+```
+<function_name>(<arguments>)
+```
+DONE
+<|CLOSE_SECTION|>
+<|SECTION:EXAMPLES|>
+
+{% if can_dig %}Digging:
+
+CALL:
+```
+dig(3, "What is the significance of the red door? The red door here refers to the red door in Jason's basement.")
+```
+DONE
+
+Digging multiple times:
+
+Start with the most promising chapter first, then move to the next most promising chapter.
+
+CALL:
+```
+dig(3, "What is the significance of the red door? The red door here refers to the red door in Jason's basement.")
+dig(5, "What is the significance of the red door? The red door here refers to the red door in Jason's basement.")
+```
+DONE{% endif %}
+
+{% if not can_dig %}Answering:
+
+CALL:
+```
+answer("Two weeks ago James discovered that the red door led to the secret chamber where the treasure was hidden. James learned about it from his grandfather.{% if character %} James knows this information, as he was the one to discover it.{% endif %}")
+```
+DONE{% endif %}
+
+Aborting:
+
+CALL:
+```
+abort()
+```
+DONE
+{{ bot_token }}{% if is_initial %}QUERY:{% else %}ANALYSIS:{% endif %}
\ No newline at end of file
diff --git a/src/talemate/prompts/templates/summarizer/find-natural-scene-termination-events.jinja2 b/src/talemate/prompts/templates/summarizer/find-natural-scene-termination-events.jinja2
new file mode 100644
index 00000000..cddc1202
--- /dev/null
+++ b/src/talemate/prompts/templates/summarizer/find-natural-scene-termination-events.jinja2
@@ -0,0 +1,22 @@
+
+<|SECTION:SCENE|>
+{{ events[0] }}
+<|CLOSE_SECTION|>
+
+{% for event in events[1:] %}
+<|SECTION:PROGRESS {{ loop.index }}|>
+{{ event }}
+<|CLOSE_SECTION|>
+{% endfor %}
+
+<|SECTION:TASK|>
+Examine the scene progress from the beginning and find the progress items that mark the ending of a scene.  Think of this in terms of a TV show or a play, where there is a build up, peak and denouement. You must identify the denouement points. 
+
+Provide a list of denounment points in the following format:
+
+- Progress {N}
+- Progress {N}
+...
+<|CLOSE_SECTION|>
+
+{{ set_prepared_response("-") }}
\ No newline at end of file
diff --git a/src/talemate/prompts/templates/summarizer/summarize-dialogue.jinja2 b/src/talemate/prompts/templates/summarizer/summarize-dialogue.jinja2
index 700562a0..a84a5ee1 100644
--- a/src/talemate/prompts/templates/summarizer/summarize-dialogue.jinja2
+++ b/src/talemate/prompts/templates/summarizer/summarize-dialogue.jinja2
@@ -1,38 +1,21 @@
+{% set summary_target = "chapter "+to_str(num_extra_context+1) %}
 {% if summarization_method == "facts" -%}
 {% set output_type = "factual list" -%}
+{% set max_length = "" %}
 {% else -%}
 {% set output_type = "narrative description" -%}
+{% set max_length = " Length: 1 - 2 paragraphs" %}
 {% endif -%}
 {% if extra_context -%}
-<|SECTION:PREVIOUS CONTEXT|>
-{{ extra_context }}
+<|SECTION:PREVIOUS CHAPTERS|>
+{% for chapter_summary in extra_context %}
+## Chapter {{ loop.index }}
+{{ chapter_summary }}
+
+{% endfor %}
 <|CLOSE_SECTION|>
 {% endif -%}
-<|SECTION:TASK|>
-Question: What happens explicitly within the dialogue section alpha below? Summarize into a {{output_type}}.
-Content Context: This is a specific scene from {{ scene.context }}
-{% if output_type == "narrative description" %}
-Use an informal and colloquial register with a conversational tone. Overall, the narrative is informal, conversational, natural, and spontaneous, with a sense of immediacy.
-{% endif %}
-
-{% if summarization_method == "long" -%}
-This should be a detailed summary of the dialogue, including all the juicy details.
-{% elif summarization_method == "short" -%}
-This should be a short and specific summary of the dialogue, including the most important details. 2 - 3 sentences.
-{% endif -%}
-
-YOU MUST ONLY SUMMARIZE THE CONTENT IN DIALOGUE SECTION ALPHA.
-
-{% if output_type == "narrative description" %}
-Expected Answer: A summarized {{output_type}} of the dialogue section alpha, that can be inserted into the ongoing story in place of the dialogue.
-{% elif output_type == "factual list" %}
-Expected Answer: A highly accurate numerical chronological list of the events and state changes that occur in the dialogue section alpha. Important is anything that causes a state change in the scene, characters or objects. Use simple, clear language, and note details. Use exact words. Note all the state changes. Leave nothing out.
-{% endif %}
-{% if extra_instructions -%}
-{{ extra_instructions }}
-{% endif -%}
-<|CLOSE_SECTION|>
-<|SECTION:DIALOGUE SECTION ALPHA|>
+<|SECTION:{{ summary_target.upper() }} (To be summarized)|>
 {{ dialogue }}
 <|CLOSE_SECTION|>
 {% if generation_options and generation_options.writing_style %}
@@ -40,5 +23,41 @@ Expected Answer: A highly accurate numerical chronological list of the events an
 {{ generation_options.writing_style.instructions }}
 <|CLOSE_SECTION|>
 {% endif %}
-<|SECTION:SUMMARIZATION OF DIALOGUE SECTION ALPHA|>
-{{ bot_token }}In the dialogue section alpha,
\ No newline at end of file
+<|SECTION:TASK|>
+Summarize {{ summary_target }} into a {{output_type}}.
+
+This is a specific chapter from {{ scene.context }}.
+{% if output_type == "narrative description" %}
+The tone of the summary must match the tone of the dialogue.
+{% endif %}
+
+{% if summarization_method == "long" -%}
+This should be a detailed summary of the dialogue, including all the juicy details.
+{% set max_length = " Length: 1 - 3 paragraphs" %}
+{% elif summarization_method == "short" -%}
+This should be a short and specific summary of the dialogue, including the most important details. 2 - 3 sentences.
+{% set max_length = " Length: 1 paragraph" %}
+{% endif -%}
+
+YOU MUST ONLY SUMMARIZE THE CONTENT EXPLICITLY STATED WITHIN {{ summary_target.upper() }}. 
+YOU MUST NOT INCLUDE OR REPEAT THE PREVIOUS CONTEXT iN YOUR SUMMARY.
+YOU MUST NOT QUOTE DIALOGUE.
+
+{% if output_type == "narrative description" %}
+Provide a summarized {{output_type}} of {{ summary_target }}.
+{% elif output_type == "factual list" %}
+Provide a highly accurate numerical chronological list of the events and state changes that occur in {{ summary_target }}. Important is anything that causes a state change in the scene, characters or objects. Use simple, clear language, and note details. Use exact words. Note all the state changes. Leave nothing out.
+{% endif %}
+
+{% if extra_context %}Use the previous context to inform your understanding of the whole story, but only summarize what is explicitly mentioned in {{ summary_target }}.{% endif -%}
+
+{% if extra_instructions -%}
+{{ extra_instructions }}
+{% endif -%}
+Your response must follow this format:
+
+ANALYSIS: <brief analysis the cross over point from previous chapters to {{ summary_target }}. How does {{ summary_target }} start and what should be in the summary.>
+SUMMARY: <summary of {{ summary_target }} based on analysis.{{ max_length }}>
+<|CLOSE_SECTION|>
+<|SECTION:SUMMARY OF {{ summary_target.upper() }}|>
+{{ set_prepared_response("ANALYSIS:") }}
\ No newline at end of file
diff --git a/src/talemate/prompts/templates/summarizer/summarize-events-list-milestones.jinja2 b/src/talemate/prompts/templates/summarizer/summarize-events-list-milestones.jinja2
new file mode 100644
index 00000000..2487a7cf
--- /dev/null
+++ b/src/talemate/prompts/templates/summarizer/summarize-events-list-milestones.jinja2
@@ -0,0 +1,14 @@
+{% if extra_context %}{% set section_name = "chapter la" %}{% else %}{% set section_name = "chapter 1" %}{% endif %}
+{% if extra_context %}
+
+<|SECTION:PREVIOUS CONTEXT|>
+{{ extra_context }}
+<|CLOSE_SECTION|>
+{% endif -%}
+<|SECTION:{{ section_name }}|>
+{{ content }}
+<|CLOSE_SECTION|>
+<|SECTION:TASK|>
+List up to five major story developments that happen in {{ section_name }}. 
+<|CLOSE_SECTION|>
+{{ set_prepared_response("1.") }}
\ No newline at end of file
diff --git a/src/talemate/prompts/templates/summarizer/summarize-events.jinja2 b/src/talemate/prompts/templates/summarizer/summarize-events.jinja2
index 38225d8b..d65ecd89 100644
--- a/src/talemate/prompts/templates/summarizer/summarize-events.jinja2
+++ b/src/talemate/prompts/templates/summarizer/summarize-events.jinja2
@@ -1,3 +1,46 @@
-Instruction: Summarize the events within the dialogue as accurately as you can.
-Expected Answer: A list short narrative descriptions
-Narrator answers:
\ No newline at end of file
+{% if extra_context %}{% set section_name = "chapter 2" %}{% else %}{% set section_name = "chapter 1" %}{% endif %}
+{% include "character-context.jinja2" -%}
+{% if extra_context %}
+<|SECTION:HISTORY|>
+{{ extra_context }}
+<|CLOSE_SECTION|>
+{% endif -%}
+<|SECTION:{{ section_name }}|>
+{{ section_name.upper() }} START
+{% for chunk in text_to_chunks(dialogue, chunk_size=2500) %}
+CHUNK {{ loop.index }}: 
+{{ chunk }}
+
+{% endfor %}
+{{ section_name.upper() }} END
+<|CLOSE_SECTION|>
+<|SECTION:TASK|>
+Provide a compressed, short summary for {{ section_name }}.
+
+Do not repeat any information from the previous context. 
+
+Compress each individual chunk, keeping the start and ending points as anchors. 
+
+Ensure the persistence of all important moments, decisions and story developments. 
+
+Specifically mention characters, locations and objects by name. 
+
+Consider the other chunks and the history to inform the context of the summarizations. Each chunk must be summarized in a way that it leads into the next chunk.
+
+YOU MUST NOT ADD COMMENTARY.
+YOU MUST NOT ADD COMBINED SUMMARIZATION OF ALL CHUNKS.
+
+You must provide your response in the following format:
+
+CHUNK 1: <summary of the first chunk>
+
+CHUNK 2: <summary of the second chunk>
+
+...
+<|CLOSE_SECTION|>
+{% if generation_options and generation_options.writing_style %}
+<|SECTION:WRITING STYLE|>
+{{ generation_options.writing_style.instructions }}
+<|CLOSE_SECTION|>
+{% endif %}
+{{ set_prepared_response("CHUNK 1:")}}
\ No newline at end of file
diff --git a/src/talemate/prompts/templates/summarizer/timeline.jinja2 b/src/talemate/prompts/templates/summarizer/timeline.jinja2
new file mode 100644
index 00000000..a37c3635
--- /dev/null
+++ b/src/talemate/prompts/templates/summarizer/timeline.jinja2
@@ -0,0 +1,14 @@
+<|SECTION:STORY|>
+{% for event in events %}
+{{ event["text"] }}
+
+{% endfor %}
+<|CLOSE_SECTION|>
+
+<|SECTION:TASK|>
+Identify the major events and milestone in the provided story.
+
+Summarize them into a consice list of events. Each item should be a single sentence, be concise and to the point.
+
+The list must be in chronological order, with the earliest event at the top and the latest event at the bottom.
+<|CLOSE_SECTION|>
\ No newline at end of file
diff --git a/src/talemate/prompts/templates/world_state/analyze-text-and-extract-context.jinja2 b/src/talemate/prompts/templates/world_state/analyze-text-and-extract-context.jinja2
index 38ee5657..648304c9 100644
--- a/src/talemate/prompts/templates/world_state/analyze-text-and-extract-context.jinja2
+++ b/src/talemate/prompts/templates/world_state/analyze-text-and-extract-context.jinja2
@@ -1,5 +1,17 @@
-{% set questions = instruct_text("Ask the author 5 important questions to gather more context from the past for the continuation of this conversation. If a character is asking about a state, location or information about an item or another character, make sure to include question(s) that help gather context for this. You also have unlimited access to the world database and can just ask for information directly. If you don't know what something is just ask directly.", text) %}
 <|SECTION:CONTEXT|>
+{% block character_context %}
+{% if include_character_context %}{% include "character-context.jinja2" %}{% endif %}
+{% endblock %}
+{% set questions = instruct_text("Ask the narrator 1 important question to gather additional context to assist with the following goal: "+goal+"
+
+1. Focus on established facts, lore, and background information.
+2. Avoid asking for information already provided in the given context.
+3. Address gaps in the current narrative or explore relevant backstory.
+4. If characters mention specific states, locations, items, or other characters, prioritize queries about these.
+5. Phrase queries as direct requests for information from the world database.
+6. For unfamiliar elements, ask straightforward questions to clarify their nature or significance.
+
+Your response must be the question only. Do not include any additional text or explanations.", self.character_context() + "\n\n" + text) %}
 {%- with memory_query=questions -%}
     {% include "extra-context.jinja2" %}
 {% endwith %}
diff --git a/src/talemate/prompts/templates/world_state/analyze-text-and-generate-rag-queries.jinja2 b/src/talemate/prompts/templates/world_state/analyze-text-and-generate-rag-queries.jinja2
index 8b2700ab..f5138ca4 100644
--- a/src/talemate/prompts/templates/world_state/analyze-text-and-generate-rag-queries.jinja2
+++ b/src/talemate/prompts/templates/world_state/analyze-text-and-generate-rag-queries.jinja2
@@ -2,23 +2,51 @@
 <|SECTION:CONTEXT|>
 {% include "extra-context.jinja2" %}
 <|CLOSE_SECTION|>
+{% if include_character_context %}{% include "character-context.jinja2" %}{% endif %}
 {% endblock -%}
 <|SECTION:SCENE|>
 {{ text }}
 <|SECTION:TASK|>
-You have access to a vector database to retrieve relevant data to gather more established context for the continuation of this conversation. If a character is asking about a state, location or information about an item or another character, make sure to include queries that help gather context for this.
+You are assisting with an ongoing story. You have access to a vector database containing factual information about the characters, locations, events, and lore of this narrative world. Your task is to generate up to 5 specific, targeted queries to gather additional context for the current scene or conversation.
 
-Please compile a list of up to 10 short queries to the database that will help us gather additional context for the actors to continue the ongoing conversation.
+Gather additional context to assist with the following goal: {{ goal}}
 
-Each query must be a short trigger keyword phrase and the database will match on semantic similarity.
+Before generating the queries, you will be provided with:
+1. A brief summary of the story context
+2. Key character names and their roles
+3. The most recent dialogue or scene description
 
-Each query must be on its own line as raw unformatted text.
+Using this information, create queries that:
+- Seek new information not already provided in the given context
+- Explore potential gaps in the current narrative
+- Investigate background details that could enrich the scene
+- Look for connections between current elements and established lore
 
-Your response should look like this and contain only the queries and nothing else:
+Your queries should focus on:
+- Historical information about characters or locations
+- Established relationships between characters
+- Known facts about objects or concepts in the story world
+- Past events that may be relevant to the current scene
+
+Avoid queries that:
+- Repeat information already given in the context
+- Ask about characters' current thoughts, feelings, or intentions
+- Seek speculative or future events
+- Request information that would not be part of established lore or backstory
+
+Each query should be:
+- A short, focused keyword phrase
+- Relevant to the current story context, but not redundant
+- Designed to elicit specific, factual information not yet revealed
+
+Format your response as a list of raw, unformatted text queries, each on its own line:
 
 - <query 1>
 - <query 2>
 - ...
-- <query 10>
+
+Do not include any additional text, explanations, or formatting in your response.
+
+After receiving the story context and recent dialogue, generate your list of targeted, non-redundant, lore-focused queries.
 <|CLOSE_SECTION|>
 {{ set_prepared_response('-') }}
\ No newline at end of file
diff --git a/src/talemate/prompts/templates/world_state/character-context.jinja2 b/src/talemate/prompts/templates/world_state/character-context.jinja2
new file mode 100644
index 00000000..42521fe8
--- /dev/null
+++ b/src/talemate/prompts/templates/world_state/character-context.jinja2
@@ -0,0 +1,12 @@
+<|SECTION:CHARACTERS|>
+{% for character in scene.characters %}
+### {{ character.name }}
+{% if max_tokens > 6000 -%}
+{{ character.sheet }}
+{% else -%}
+{{ character.filtered_sheet(['age', 'gender']) }}
+{{ query_memory("what is "+character.name+"'s personality?", as_question_answer=False) }}
+{% endif %}
+{{ character.description }}
+{% endfor %}
+<|CLOSE_SECTION|>
\ No newline at end of file
diff --git a/src/talemate/prompts/templates/world_state/update-reinforcements.jinja2 b/src/talemate/prompts/templates/world_state/update-reinforcements.jinja2
index d96b2fd7..7d3ab37e 100644
--- a/src/talemate/prompts/templates/world_state/update-reinforcements.jinja2
+++ b/src/talemate/prompts/templates/world_state/update-reinforcements.jinja2
@@ -1,3 +1,4 @@
+
 {% block rendered_context -%}
 <|SECTION:CONTEXT|>
 {%- with memory_query=scene.snapshot() -%}
@@ -11,10 +12,14 @@
 <|CLOSE_SECTION|>
 {% endblock -%}
 <|SECTION:SCENE|>
-{% set scene_history=scene.context_history(budget=max_tokens-200-count_tokens(self.rendered_context())) -%}
-{% set final_line_number=len(scene_history) -%}
+{% set scene_history = scene.context_history(budget=max_tokens-200-count_tokens(self.rendered_context()), keep_context_investigation=False) -%}
+{% set last_message = scene_history[-1] %}
+{% set last_message_is_reinforcement = ("internal notes" in last_message.lower() and question in last_message)%}
+{% if not last_message_is_reinforcement %}{% set final_line_number=len(scene_history) %}{% else %}{% set final_line_number=len(scene_history)-1 %}{% endif %}
 {% for scene_context in scene_history -%}
+{% if not (loop.last and last_message_is_reinforcement) -%}
 {{ loop.index }}. {{ scene_context }}
+{% endif -%}
 {% endfor -%}
 {% if not scene.history -%}
 No dialogue so far
@@ -45,7 +50,7 @@ YOUR ANSWER IS CONFIDENT, MAKE CREATIVE CHOICES AS NEEDED.
 {% endif %}
 The tone of your answer should be consistent with the tone of the story so far.
 
-Question: {{ question }}
+Question: {{ question }}  (At line {{ final_line_number }} in the scene progression)
 {% if answer %}Previous Answer: {{ answer }}
 {% endif -%}
 <|CLOSE_SECTION|>
diff --git a/src/talemate/scene_message.py b/src/talemate/scene_message.py
index bbad5ec9..f01d241d 100644
--- a/src/talemate/scene_message.py
+++ b/src/talemate/scene_message.py
@@ -2,7 +2,17 @@ import enum
 import re
 from dataclasses import dataclass, field
 
-import isodate
+__all__ = [
+    "SceneMessage",
+    "CharacterMessage",
+    "NarratorMessage",
+    "DirectorMessage",
+    "TimePassageMessage",
+    "ReinforcementMessage",
+    "ContextInvestigationMessage",
+    "Flags",
+    "MESSAGES",
+]
 
 _message_id = 0
 
@@ -110,6 +120,7 @@ class SceneMessage:
 class CharacterMessage(SceneMessage):
     typ = "character"
     source: str = "ai"
+    from_choice: str | None = None
 
     def __str__(self):
         return self.message
@@ -125,6 +136,10 @@ class CharacterMessage(SceneMessage):
     @property
     def raw(self):
         return self.message.split(":", 1)[1].replace('"', "").replace("*", "").strip()
+    
+    @property
+    def without_name(self) -> str:
+        return self.message.split(":", 1)[1]
 
     @property
     def as_movie_script(self):
@@ -138,7 +153,15 @@ class CharacterMessage(SceneMessage):
 
         message = self.message.split(":", 1)[1].replace('"', "").strip()
 
-        return f"\n{self.character_name.upper()}\n{message}\n"
+        return f"\n{self.character_name.upper()}\n{message}\nEND-OF-LINE\n"
+
+    def __dict__(self):
+        rv = super().__dict__()
+
+        if self.from_choice:
+            rv["from_choice"] = self.from_choice
+
+        return rv
 
     def as_format(self, format: str, **kwargs) -> str:
         if format == "movie_script":
@@ -266,14 +289,32 @@ class ReinforcementMessage(SceneMessage):
     def __str__(self):
         question, _ = self.source.split(":", 1)
         return (
-            f"# Internal notes for {self.character_name} - {question}: {self.message}"
+            f"# Internal note for {self.character_name} - {question}\n{self.message}"
         )
 
     def as_format(self, format: str, **kwargs) -> str:
         if format == "movie_script":
             message = str(self)[2:]
             return f"\n({message})\n"
-        return self.message
+        return f"\n{self.message}\n"
+
+
+@dataclass
+class ContextInvestigationMessage(SceneMessage):
+    typ = "context_investigation"
+    source: str = "ai"
+    
+    def __str__(self):
+        return (
+            f"# Internal note - {self.message}"
+        )
+
+    def as_format(self, format: str, **kwargs) -> str:
+        if format == "movie_script":
+            message = str(self)[2:]
+            return f"\n({message})\n"
+        return f"\n{self.message}\n"
+
 
 
 MESSAGES = {
@@ -283,4 +324,5 @@ MESSAGES = {
     "director": DirectorMessage,
     "time": TimePassageMessage,
     "reinforcement": ReinforcementMessage,
+    "context_investigation": ContextInvestigationMessage,
 }
diff --git a/src/talemate/server/api.py b/src/talemate/server/api.py
index 95716ae3..85e3ea37 100644
--- a/src/talemate/server/api.py
+++ b/src/talemate/server/api.py
@@ -24,167 +24,194 @@ async def websocket_endpoint(websocket, path):
 
     log.info("frontend connected")
 
-    try:
-        # Create a task to send messages from the queue
-        async def send_messages():
-            while True:
-                # check if there are messages in the queue
-                if message_queue.empty():
-                    await asyncio.sleep(0.01)
-                    continue
-
-                message = await message_queue.get()
-                await websocket.send(json.dumps(message))
-
-        send_messages_task = asyncio.create_task(send_messages())
-
-        # Create a task to send regular client status updates
-        async def send_status():
-            while True:
-                await instance.emit_clients_status()
-                await instance.agent_ready_checks()
-                await asyncio.sleep(3)
-
-        send_status_task = asyncio.create_task(send_status())
-
-        # create a task that will retriece client boostrap information
-
-        async def send_client_bootstraps():
-            while True:
-                try:
-                    await instance.sync_client_bootstraps()
-                except Exception as e:
-                    log.error(
-                        "send_client_bootstraps",
-                        error=e,
-                        traceback=traceback.format_exc(),
-                    )
-                await asyncio.sleep(15)
-
-        send_client_bootstraps_task = asyncio.create_task(send_client_bootstraps())
-
-        while True:
-            data = await websocket.recv()
-            data = json.loads(data)
-            action_type = data.get("type")
-
-            scene_data = None
-
-            log.debug("frontend message", action_type=action_type)
-
-            with ActiveScene(handler.scene):
-                if action_type == "load_scene":
-                    if scene_task:
-                        handler.scene.continue_scene = False
-                        scene_task.cancel()
-
-                    file_path = data.get("file_path")
-                    scene_data = data.get("scene_data")
-                    filename = data.get("filename")
-                    reset = data.get("reset", False)
-
-                    await message_queue.put(
-                        {
-                            "type": "system",
-                            "message": "Loading scene file ...",
-                            "id": "scene.loading",
-                            "status": "loading",
-                        }
-                    )
-
-                    async def scene_loading_done():
-                        await message_queue.put(
-                            {
-                                "type": "system",
-                                "message": "Scene file loaded ...",
-                                "id": "scene.loaded",
-                                "status": "success",
-                                "data": {
-                                    "hidden": True,
-                                    "environment": handler.scene.environment,
-                                },
-                            }
-                        )
-
-                    if scene_data and filename:
-                        file_path = handler.handle_character_card_upload(
-                            scene_data, filename
-                        )
-
-                    log.info("load_scene", file_path=file_path, reset=reset)
-
-                    # Create a task to load the scene in the background
-                    scene_task = asyncio.create_task(
-                        handler.load_scene(
-                            file_path, reset=reset, callback=scene_loading_done
-                        )
-                    )
-
-                elif action_type == "interact":
-                    log.debug("interact", data=data)
-                    text = data.get("text")
-                    with Interaction(act_as=data.get("act_as")):
-                        if handler.waiting_for_input:
-                            handler.send_input(text)
-
-                elif action_type == "request_scenes_list":
-                    query = data.get("query", "")
-                    handler.request_scenes_list(query)
-                elif action_type == "configure_clients":
-                    await handler.configure_clients(data.get("clients"))
-                elif action_type == "configure_agents":
-                    await handler.configure_agents(data.get("agents"))
-                elif action_type == "request_client_status":
-                    await handler.request_client_status()
-                elif action_type == "delete_message":
-                    handler.delete_message(data.get("id"))
-                elif action_type == "scene_config":
-                    log.info("scene_config", data=data)
-                    handler.apply_scene_config(data.get("scene_config"))
-                elif action_type == "request_scene_assets":
-                    log.info("request_scene_assets", data=data)
-                    handler.request_scene_assets(data.get("asset_ids"))
-                elif action_type == "upload_scene_asset":
-                    log.info("upload_scene_asset")
-                    handler.add_scene_asset(data=data)
-                elif action_type == "request_scene_history":
-                    log.info("request_scene_history")
-                    handler.request_scene_history()
-                elif action_type == "request_assets":
-                    log.info("request_assets")
-                    handler.request_assets(data.get("assets"))
-                elif action_type == "edit_message":
-                    log.info("edit_message", data=data)
-                    handler.edit_message(data.get("id"), data.get("text"))
-                elif action_type == "interrupt":
-                    log.info("interrupt")
-                    handler.scene.interrupt()
-                elif action_type == "request_app_config":
-                    log.info("request_app_config")
-                    await message_queue.put(
-                        {
-                            "type": "app_config",
-                            "data": load_config(),
-                            "version": VERSION,
-                        }
-                    )
-                else:
-                    log.info("Routing to sub-handler", action_type=action_type)
-                    await handler.route(data)
-
-    # handle disconnects
-    except (
-        websockets.exceptions.ConnectionClosed,
-        starlette.websockets.WebSocketDisconnect,
-        RuntimeError,
-    ):
-        log.warning("frontend disconnected")
+    async def frontend_disconnect(exc):
+        nonlocal scene_task
+        log.warning(f"frontend disconnected: {exc}")
+        
+        main_task.cancel()
         send_messages_task.cancel()
         send_status_task.cancel()
         send_client_bootstraps_task.cancel()
+        test_connection_task.cancel()
         handler.disconnect()
         if handler.scene:
             handler.scene.active = False
             handler.scene.continue_scene = False
             if scene_task:
                 scene_task.cancel()
+
+    # Create a task to send messages from the queue
+    async def send_messages():
+        while True:
+            # check if there are messages in the queue
+            if message_queue.empty():
+                await asyncio.sleep(0.01)
+                continue
+
+            message = await message_queue.get()
+            await websocket.send(json.dumps(message))
+
+
+    # Create a task to send regular client status updates
+    async def send_status():
+        while True:
+            await instance.emit_clients_status()
+            await instance.agent_ready_checks()
+            await asyncio.sleep(3)
+
+    # create a task that will retriece client boostrap information
+    async def send_client_bootstraps():
+        while True:
+            try:
+                await instance.sync_client_bootstraps()
+            except Exception as e:
+                log.error(
+                    "send_client_bootstraps",
+                    error=e,
+                    traceback=traceback.format_exc(),
+                )
+            await asyncio.sleep(15)
+
+    
+    # task to test connection
+    async def test_connection():
+        while True:
+            try:
+                await websocket.send(json.dumps({"type": "ping"}))
+            except Exception as e:
+                await frontend_disconnect(e)
+            await asyncio.sleep(1)
+    
+    
+    
+    # main loop task
+    async def handle_messages():
+        nonlocal scene_task
+        try:
+            while True:
+                data = await websocket.recv()
+                data = json.loads(data)
+                action_type = data.get("type")
+
+                scene_data = None
+
+                log.debug("frontend message", action_type=action_type)
+
+                with ActiveScene(handler.scene):
+                    if action_type == "load_scene":
+                        if scene_task:
+                            log.info("Unloading current scene")
+                            handler.scene.continue_scene = False
+                            scene_task.cancel()
+
+                        file_path = data.get("file_path")
+                        scene_data = data.get("scene_data")
+                        filename = data.get("filename")
+                        reset = data.get("reset", False)
+
+                        await message_queue.put(
+                            {
+                                "type": "system",
+                                "message": "Loading scene file ...",
+                                "id": "scene.loading",
+                                "status": "loading",
+                            }
+                        )
+
+                        async def scene_loading_done():
+                            await message_queue.put(
+                                {
+                                    "type": "system",
+                                    "message": "Scene file loaded ...",
+                                    "id": "scene.loaded",
+                                    "status": "success",
+                                    "data": {
+                                        "hidden": True,
+                                        "environment": handler.scene.environment,
+                                    },
+                                }
+                            )
+
+                        if scene_data and filename:
+                            file_path = handler.handle_character_card_upload(
+                                scene_data, filename
+                            )
+
+                        log.info("load_scene", file_path=file_path, reset=reset)
+
+                        # Create a task to load the scene in the background
+                        scene_task = asyncio.create_task(
+                            handler.load_scene(
+                                file_path, reset=reset, callback=scene_loading_done
+                            )
+                        )
+
+                    elif action_type == "interact":
+                        log.debug("interact", data=data)
+                        text = data.get("text")
+                        with Interaction(act_as=data.get("act_as")):
+                            if handler.waiting_for_input:
+                                handler.send_input(text)
+
+                    elif action_type == "request_scenes_list":
+                        query = data.get("query", "")
+                        handler.request_scenes_list(query)
+                    elif action_type == "configure_clients":
+                        await handler.configure_clients(data.get("clients"))
+                    elif action_type == "configure_agents":
+                        await handler.configure_agents(data.get("agents"))
+                    elif action_type == "request_client_status":
+                        await handler.request_client_status()
+                    elif action_type == "delete_message":
+                        handler.delete_message(data.get("id"))
+                    elif action_type == "scene_config":
+                        log.info("scene_config", data=data)
+                        handler.apply_scene_config(data.get("scene_config"))
+                    elif action_type == "request_scene_assets":
+                        log.info("request_scene_assets", data=data)
+                        handler.request_scene_assets(data.get("asset_ids"))
+                    elif action_type == "upload_scene_asset":
+                        log.info("upload_scene_asset")
+                        handler.add_scene_asset(data=data)
+                    elif action_type == "request_scene_history":
+                        log.info("request_scene_history")
+                        handler.request_scene_history()
+                    elif action_type == "request_assets":
+                        log.info("request_assets")
+                        handler.request_assets(data.get("assets"))
+                    elif action_type == "edit_message":
+                        log.info("edit_message", data=data)
+                        handler.edit_message(data.get("id"), data.get("text"))
+                    elif action_type == "interrupt":
+                        log.info("interrupt")
+                        handler.scene.interrupt()
+                    elif action_type == "request_app_config":
+                        log.info("request_app_config")
+                        await message_queue.put(
+                            {
+                                "type": "app_config",
+                                "data": load_config(),
+                                "version": VERSION,
+                            }
+                        )
+                    else:
+                        log.info("Routing to sub-handler", action_type=action_type)
+                        await handler.route(data)
+                        
+
+        # handle disconnects
+        except (
+            websockets.exceptions.ConnectionClosed,
+            starlette.websockets.WebSocketDisconnect,
+            RuntimeError,
+        ) as exc:
+            await frontend_disconnect(exc)
+
+
+    main_task = asyncio.create_task(handle_messages())
+    send_messages_task = asyncio.create_task(send_messages())
+    send_status_task = asyncio.create_task(send_status())
+    send_client_bootstraps_task = asyncio.create_task(send_client_bootstraps())
+    test_connection_task = asyncio.create_task(test_connection())
+    
+    await asyncio.gather(main_task, send_messages_task, send_status_task, send_client_bootstraps_task, test_connection_task)
\ No newline at end of file
diff --git a/src/talemate/server/assistant.py b/src/talemate/server/assistant.py
index 6cc8880e..3e555b60 100644
--- a/src/talemate/server/assistant.py
+++ b/src/talemate/server/assistant.py
@@ -8,6 +8,10 @@ from talemate.instance import get_agent
 log = structlog.get_logger("talemate.server.assistant")
 
 
+class ForkScenePayload(pydantic.BaseModel):
+    message_id: int
+    save_name: str | None = None
+
 class AssistantPlugin:
     router = "assistant"
 
@@ -86,3 +90,24 @@ class AssistantPlugin:
         except Exception as e:
             log.error("Error running autocomplete", error=str(e))
             emit("autocomplete_suggestion", "")
+
+
+    async def handle_fork_new_scene(self, data: dict):
+        """
+        Allows to fork a new scene from a specific message
+        in the current scene.
+        
+        All content after the message will be removed and the
+        context database will be re imported ensuring a clean state.
+        
+        All state reinforcements will be reset to their most recent
+        state before the message.
+        """
+        
+        payload = ForkScenePayload(**data)
+        
+        creator = get_agent("creator")
+        
+        await creator.fork_scene(payload.message_id, payload.save_name)
+        
+        
\ No newline at end of file
diff --git a/src/talemate/server/director.py b/src/talemate/server/director.py
new file mode 100644
index 00000000..85959aa3
--- /dev/null
+++ b/src/talemate/server/director.py
@@ -0,0 +1,45 @@
+import pydantic
+import structlog
+
+import talemate.util as util
+from talemate.emit import emit
+from talemate.context import interaction
+from talemate.instance import get_agent
+from talemate.scene_message import CharacterMessage
+
+log = structlog.get_logger("talemate.server.director")
+
+
+class SelectChoicePayload(pydantic.BaseModel):
+    choice: str
+
+class DirectorPlugin:
+    router = "director"
+
+    @property
+    def scene(self):
+        return self.websocket_handler.scene
+
+    def __init__(self, websocket_handler):
+        self.websocket_handler = websocket_handler
+
+    async def handle(self, data: dict):
+        log.info("director action", action=data.get("action"))
+
+        fn = getattr(self, f"handle_{data.get('action')}", None)
+
+        if fn is None:
+            return
+
+        await fn(data)
+
+    async def handle_generate_choices(self, data: dict):
+        director = get_agent("director")
+        await director.generate_choices()
+        
+    async def handle_select_choice(self, data: dict):
+        payload = SelectChoicePayload(**data)
+        character = self.scene.get_player_character()
+        actor = character.actor
+        
+        await actor.generate_from_choice(payload.choice)
\ No newline at end of file
diff --git a/src/talemate/server/run.py b/src/talemate/server/run.py
index 3661c389..10790808 100644
--- a/src/talemate/server/run.py
+++ b/src/talemate/server/run.py
@@ -31,6 +31,7 @@ async def install_punkt():
     
     log.info("Downloading NLTK punkt tokenizer")
     await asyncio.get_event_loop().run_in_executor(None, nltk.download, "punkt")
+    await asyncio.get_event_loop().run_in_executor(None, nltk.download, "punkt_tab")
     log.info("Download complete")
 
 async def log_stream(stream, log_func):
@@ -65,7 +66,6 @@ async def run_frontend(host: str = "localhost", port: int = 8080):
         preexec_fn=os.setsid if sys.platform != "win32" else None
     )
     
-    asyncio.create_task(install_punkt())
     
     log.info(f"talemate frontend started", host=host, port=port, server="uvicorn", process=process.pid)
     
@@ -115,6 +115,9 @@ def run_server(args):
     
     loop.run_until_complete(start_server)
     
+    # start task to unstall punkt
+    loop.create_task(install_punkt())
+    
     if not args.backend_only:
         frontend_task = loop.create_task(run_frontend(args.frontend_host, args.frontend_port))
     else:
diff --git a/src/talemate/server/websocket_server.py b/src/talemate/server/websocket_server.py
index b79d7b4d..8d70b395 100644
--- a/src/talemate/server/websocket_server.py
+++ b/src/talemate/server/websocket_server.py
@@ -21,6 +21,7 @@ from talemate.server import (
     character_importer,
     config,
     devtools,
+    director,
     quick_settings,
     world_state_manager,
 )
@@ -72,6 +73,7 @@ class WebsocketHandler(Receiver):
                 self
             ),
             devtools.DevToolsPlugin.router: devtools.DevToolsPlugin(self),
+            director.DirectorPlugin.router: director.DirectorPlugin(self),
         }
 
         self.set_agent_routers()
@@ -474,6 +476,18 @@ class WebsocketHandler(Receiver):
                 ),
             }
         )
+        
+    def handle_context_investigation(self, emission: Emission):
+        self.queue_put(
+            {
+                "type": "context_investigation",
+                "message": emission.message,
+                "id": emission.id,
+                "flags": (
+                    int(emission.message_object.flags) if emission.message_object else 0
+                ),
+            }
+        )
 
     def handle_prompt_sent(self, emission: Emission):
         self.queue_put(
diff --git a/src/talemate/server/world_state_manager.py b/src/talemate/server/world_state_manager.py
index f01a8a54..bb86e5b7 100644
--- a/src/talemate/server/world_state_manager.py
+++ b/src/talemate/server/world_state_manager.py
@@ -1,4 +1,4 @@
-import base64
+import asyncio
 import uuid
 from typing import Any, Union
 
@@ -161,6 +161,7 @@ class SceneSettingsPayload(pydantic.BaseModel):
 
 class SaveScenePayload(pydantic.BaseModel):
     save_as: str | None = None
+    project_name: str | None = None
 
 
 class RegenerateHistoryPayload(pydantic.BaseModel):
@@ -869,7 +870,7 @@ class WorldStateManagerPlugin:
             }
         )
 
-        await self.scene.remove_actor(character.actor)
+        await self.scene.remove_character(character)            
         await self.signal_operation_done()
         await self.handle_get_character_list({})
         self.scene.emit_status()
@@ -1000,44 +1001,71 @@ class WorldStateManagerPlugin:
     async def handle_save_scene(self, data):
         payload = SaveScenePayload(**data)
 
-        log.debug("Save scene", copy=payload.save_as)
+        log.debug("Save scene", copy=payload.save_as, project_name=payload.project_name)
+        
+        if not self.scene.filename:
+            # scene has never been saved before
+            # specify project name (directory name)
+            self.scene.name = payload.project_name
 
         await self.scene.save(auto=False, force=True, copy_name=payload.save_as)
         self.scene.emit_status()
 
     async def handle_request_scene_history(self, data):
         history = history_with_relative_time(self.scene.archived_history, self.scene.ts)
+        
+        layered_history = []
+        
+        summarizer = get_agent("summarizer")
+        
+        if summarizer.layered_history_enabled:
+            for layer in self.scene.layered_history:
+                layered_history.append(
+                    history_with_relative_time(layer, self.scene.ts)
+                )
 
         self.websocket_handler.queue_put(
-            {"type": "world_state_manager", "action": "scene_history", "data": history}
+            {"type": "world_state_manager", "action": "scene_history", "data": {
+                "history": history,
+                "layered_history": layered_history,
+            }}
         )
 
     async def handle_regenerate_history(self, data):
 
         payload = RegenerateHistoryPayload(**data)
+        
+        async def callback():
+            self.scene.emit_status()
+            await self.handle_request_scene_history(data)
+            #self.websocket_handler.queue_put(
+            #    {
+            #        "type": "world_state_manager",
+            #        "action": "history_entry_added",
+            #        "data": history_with_relative_time(
+            #            self.scene.archived_history, self.scene.ts
+            #        ),
+            #    }
+            #)
 
-        def callback():
+        task = asyncio.create_task(rebuild_history(
+            self.scene, callback=callback, generation_options=payload.generation_options
+        ))
+        
+        async def done():
             self.websocket_handler.queue_put(
                 {
                     "type": "world_state_manager",
-                    "action": "history_entry_added",
-                    "data": history_with_relative_time(
-                        self.scene.archived_history, self.scene.ts
-                    ),
+                    "action": "history_regenerated",
+                    "data": payload.model_dump(),
                 }
             )
 
-        await rebuild_history(
-            self.scene, callback=callback, generation_options=payload.generation_options
-        )
+            await self.signal_operation_done()
+            await self.handle_request_scene_history(data)
+        
+        # when task is done,  queue a message to the client
+        task.add_done_callback(lambda _: asyncio.create_task(done()))
+    
 
-        self.websocket_handler.queue_put(
-            {
-                "type": "world_state_manager",
-                "action": "history_regenerated",
-                "data": payload.model_dump(),
-            }
-        )
 
-        await self.signal_operation_done()
-        await self.handle_request_scene_history(data)
diff --git a/src/talemate/tale_mate.py b/src/talemate/tale_mate.py
index 659c1aa7..f6171d31 100644
--- a/src/talemate/tale_mate.py
+++ b/src/talemate/tale_mate.py
@@ -45,6 +45,8 @@ from talemate.scene_message import (
     ReinforcementMessage,
     SceneMessage,
     TimePassageMessage,
+    ContextInvestigationMessage,
+    MESSAGES as MESSAGE_TYPES,
 )
 from talemate.util import colored_text, count_tokens, extract_metadata, wrap_text
 from talemate.util.prompt import condensed
@@ -67,6 +69,7 @@ async_signals.register("game_loop_start")
 async_signals.register("game_loop")
 async_signals.register("game_loop_actor_iter")
 async_signals.register("game_loop_new_message")
+async_signals.register("player_turn_start")
 
 
 class ActedAsCharacter(Exception):
@@ -570,7 +573,7 @@ class Actor:
     def history(self):
         return self.scene.history
 
-    async def talk(self):
+    async def talk(self, instruction: str = None):
         """
         Set the message to be sent to the AI
         """
@@ -588,7 +591,7 @@ class Actor:
         )
 
         with ClientContext(conversation=conversation_context):
-            messages = await self.agent.converse(self)
+            messages = await self.agent.converse(self, instruction=instruction)
 
         return messages
 
@@ -619,7 +622,6 @@ class Player(Actor):
         if not message:
             # Display scene history length before the player character name
             history_length = self.scene.history_length()
-
             name = colored_text(self.character.name + ": ", self.character.color)
             input = await wait_for_input(
                 f"[{history_length}] {name}",
@@ -633,7 +635,27 @@ class Player(Actor):
         if not message:
             return
 
-        if not commands.Manager.is_command(message):
+        if message.startswith("@"):
+            character_message = await self.generate_from_choice(
+                message[1:], process=False, character=None if not act_as else self.scene.get_character(act_as)
+            )
+            
+            if not character_message:
+                return
+            
+            self.message = character_message.without_name
+            self.scene.push_history(character_message)
+            
+            if act_as:
+                character = self.scene.get_character(act_as)
+                
+                self.scene.process_npc_dialogue(character.actor, [character_message])
+                raise ActedAsCharacter()
+            else:
+                emit("character", character_message, character=self.character)
+            message = self.message
+
+        elif not commands.Manager.is_command(message):
             if '"' not in message and "*" not in message:
                 message = f'"{message}"'
 
@@ -659,16 +681,88 @@ class Player(Actor):
             else:
                 # acting as the main player character
                 self.message = message
-
+                
+                extra = {}
+                
+                if input.get("from_choice"):
+                    extra["from_choice"] = input["from_choice"]
+                
                 self.scene.push_history(
                     CharacterMessage(
-                        f"{self.character.name}: {message}", source="player"
+                        f"{self.character.name}: {message}", source="player", **extra
                     )
                 )
                 emit("character", self.history[-1], character=self.character)
 
         return message
 
+    async def generate_from_choice(self, choice:str, process:bool=True, character:Character=None) -> CharacterMessage:
+        character = self.character if not character else character
+        
+        if not character:
+            raise TalemateError("Character not found during generate_from_choice")
+        
+        actor = character.actor
+        conversation = self.scene.get_helper("conversation").agent
+        director = self.scene.get_helper("director").agent
+        narrator = self.scene.get_helper("narrator").agent
+        
+        # sensory checks
+        sensory_checks = ["look", "listen", "smell", "taste", "touch", "feel"]
+        
+        sensory_action = {
+            "look": "see",
+            "inspect": "see",
+            "examine": "see",
+            "observe": "see",
+            "watch": "see",
+            "view": "see",
+            "see": "see",
+            "listen": "hear",
+            "smell": "smell",
+            "taste": "taste",
+            "touch": "feel",
+            "feel": "feel",
+        }
+        
+        if choice.lower().startswith(tuple(sensory_checks)):
+            
+            # extract the sensory type
+            sensory_type = choice.split(" ", 1)[0].lower()
+            
+            sensory_suffix = sensory_action.get(sensory_type, "experience")
+            
+            log.debug("generate_from_choice", choice=choice, sensory_checks=True)
+            # sensory checks should trigger a narrator query instead of conversation
+            await narrator.action_to_narration(
+                "narrate_query",
+                emit_message=True,
+                query=f"{character.name} wants to \"{choice}\" - what does {character.name} {sensory_suffix} (your answer must be descriptive and detailed)?",
+            )
+            return
+        
+        messages = await conversation.converse(actor, only_generate=True, instruction=choice)
+        
+        message = messages[0]
+        message = util.ensure_dialog_format(message.strip(), character.name)
+        character_message = CharacterMessage(
+            message, source="player" if isinstance(actor, Player) else "ai", from_choice=choice
+        )
+        
+        if not process:
+            return character_message
+        
+        interaction_state = interaction.get()
+        
+        if director.generate_choices_never_auto_progress:
+            self.scene.push_history(character_message)
+            emit("character", character_message, character=character)
+        else:
+            interaction_state.from_choice = choice
+            interaction_state.input = character_message.without_name
+            
+        return character_message
+
 
 class Scene(Emitter):
     """
@@ -693,6 +787,7 @@ class Scene(Emitter):
         self.history = []
         self.archived_history = []
         self.inactive_characters = {}
+        self.layered_history = []
         self.assets = SceneAssets(scene=self)
         self.description = ""
         self.intro = ""
@@ -760,6 +855,7 @@ class Scene(Emitter):
             "game_loop_actor_iter": async_signals.get("game_loop_actor_iter"),
             "game_loop_new_message": async_signals.get("game_loop_new_message"),
             "scene_init": async_signals.get("scene_init"),
+            "player_turn_start": async_signals.get("player_turn_start"),
         }
 
         self.setup_emitter(scene=self)
@@ -1039,9 +1135,27 @@ class Scene(Emitter):
             if isinstance(self.history[idx], CharacterMessage):
                 if self.history[idx].source == "player":
                     return self.history[idx]
+                
+    def last_message_of_type(self, typ: str | list[str], source: str = None):
+        """
+        Returns the last message of the given type and source
+        """
+        
+        if not isinstance(typ, list):
+            typ = [typ]
+        
+        for idx in range(len(self.history) - 1, -1, -1):
+            if self.history[idx].typ in typ and (
+                self.history[idx].source == source or not source
+            ):
+                return self.history[idx]
 
     def collect_messages(
-        self, typ: str = None, source: str = None, max_iterations: int = 100
+        self, 
+        typ: str = None, 
+        source: str = None,
+        max_iterations: int = 100,
+        max_messages: int | None = None,
     ):
         """
         Finds all messages in the history that match the given typ and source
@@ -1049,11 +1163,16 @@ class Scene(Emitter):
 
         messages = []
         iterations = 0
+        collected = 0
         for idx in range(len(self.history) - 1, -1, -1):
             if (not typ or self.history[idx].typ == typ) and (
                 not source or self.history[idx].source == source
             ):
                 messages.append(self.history[idx])
+                collected += 1
+                if max_messages is not None and collected >= max_messages:
+                    break
+                
 
             iterations += 1
             if iterations >= max_iterations:
@@ -1061,13 +1180,31 @@ class Scene(Emitter):
 
         return messages
 
-    def snapshot(self, lines: int = 3, ignore: list = None, start: int = None) -> str:
+    def snapshot(
+        self, 
+        lines: int = 3, 
+        ignore: list[str | SceneMessage] = None, 
+        start: int = None,
+        as_format: str = "movie_script",
+    ) -> str:
         """
         Returns a snapshot of the scene history
         """
 
         if not ignore:
-            ignore = [ReinforcementMessage, DirectorMessage]
+            ignore = [ReinforcementMessage, DirectorMessage, ContextInvestigationMessage]
+        else:
+            # ignore me also be a list of message type strings (e.g. 'director')
+            # convert to class types
+            _ignore = []
+            for item in ignore:
+                if isinstance(item, str):
+                    _ignore.append(MESSAGE_TYPES.get(item)) 
+                elif isinstance(item, SceneMessage):
+                    _ignore.append(item)
+                else:
+                    raise ValueError("ignore must be a list of strings or SceneMessage types")
+            ignore = _ignore
 
         collected = []
 
@@ -1082,7 +1219,7 @@ class Scene(Emitter):
             if len(collected) >= lines:
                 break
 
-        return "\n".join([str(message) for message in collected])
+        return "\n".join([message.as_format(as_format) for message in collected])
 
     def push_archive(self, entry: data_objects.ArchiveEntry):
         """
@@ -1158,6 +1295,23 @@ class Scene(Emitter):
         if memory_helper:
             await actor.character.commit_to_memory(memory_helper.agent)
 
+
+    async def remove_character(self, character: Character):
+        """
+        Remove a character from the scene
+        
+        Class remove_actor if the character is active
+        otherwise remove from inactive_characters.
+        """
+        
+        for actor in self.actors:
+            if actor.character == character:
+                await self.remove_actor(actor)
+        
+        if character.name in self.inactive_characters:
+            del self.inactive_characters[character.name]
+
+
     async def remove_actor(self, actor: Actor):
         """
         Remove an actor from the scene
@@ -1332,51 +1486,144 @@ class Scene(Emitter):
         return summary
 
     def context_history(
-        self, budget: int = 2048, keep_director: Union[bool, str] = False, **kwargs
+        self, budget: int = 8192, **kwargs
     ):
         parts_context = []
         parts_dialogue = []
 
         budget_context = int(0.5 * budget)
         budget_dialogue = int(0.5 * budget)
+        
+        keep_director = kwargs.get("keep_director", False)
+        keep_context_investigation = kwargs.get("keep_context_investigation", True)
 
         conversation_format = self.conversation_format
         actor_direction_mode = self.get_helper("director").agent.actor_direction_mode
-
-        history_offset = kwargs.get("history_offset", 0)
-        message_id = kwargs.get("message_id")
+        layered_history_enabled = self.get_helper("summarizer").agent.layered_history_enabled
         include_reinfocements = kwargs.get("include_reinfocements", True)
+        assured_dialogue_num = kwargs.get("assured_dialogue_num", 5)
 
-        # if message id is provided, find the message in the history
-        if message_id:
+        history_len = len(self.history)
 
-            if history_offset:
-                log.warning(
-                    "context_history",
-                    message="history_offset is ignored when message_id is provided",
-                )
 
-            message_index = self.message_index(message_id)
-            history_start = message_index - 1
+        # CONTEXT
+        # collect context, ignore where end > len(history) - count
+        if not self.layered_history or not layered_history_enabled or not self.layered_history[0]:
+            
+            # no layered history available
+
+            for i in range(len(self.archived_history) - 1, -1, -1):
+                archive_history_entry = self.archived_history[i]
+                end = archive_history_entry.get("end")
+
+                if end is None:
+                    continue
+
+                try:
+                    time_message = util.iso8601_diff_to_human(
+                        archive_history_entry["ts"], self.ts
+                    )
+                    text = f"{time_message}: {archive_history_entry['text']}"
+                except Exception as e:
+                    log.error("context_history", error=e, traceback=traceback.format_exc())
+                    text = archive_history_entry["text"]
+
+                if count_tokens(parts_context) + count_tokens(text) > budget_context:
+                    break
+
+                parts_context.insert(0, condensed(text))
+                    
         else:
-            history_start = len(self.history) - (1 + history_offset)
+            
+            # layered history available
+            # start with the last layer and work backwards
+            
+            next_layer_start = None
+            
+            for i in range(len(self.layered_history) - 1, -1, -1):
+                
+                log.debug("context_history - layered history", i=i, next_layer_start=next_layer_start)
+                
+                if not self.layered_history[i]:
+                    continue
+                
+                for layered_history_entry in self.layered_history[i][next_layer_start if next_layer_start is not None else 0:]:
+                    
+                    time_message_start = util.iso8601_diff_to_human(
+                        layered_history_entry["ts_start"], self.ts
+                    )
+                    time_message_end = util.iso8601_diff_to_human(
+                        layered_history_entry["ts_end"], self.ts
+                    )
+                    
+                    if time_message_start == time_message_end:
+                        time_message = time_message_start
+                    else:
+                        time_message = f"Start:{time_message_start}, End:{time_message_end}" if time_message_start != time_message_end else time_message_start
+                    text = f"{time_message} {layered_history_entry['text']}"
+                    parts_context.append(text)
+                    
+                next_layer_start = layered_history_entry["end"] + 1
+            
+            # collect archived history entries that have not yet been
+            # summarized to the layered history
+            base_layer_start = self.layered_history[0][-1]["end"] + 1 if self.layered_history[0] else None
+            
+            if base_layer_start is not None:
+                for archive_history_entry in self.archived_history[base_layer_start:]:
+                    time_message = util.iso8601_diff_to_human(
+                        archive_history_entry["ts"], self.ts
+                    )
+                    
+                    text = f"{time_message}: {archive_history_entry['text']}"
+                    parts_context.append(condensed(text))
 
-        # collect dialogue
-
-        count = 0
-
-        for i in range(history_start, -1, -1):
-            count += 1
+        # log.warn if parts_context token count > budget_context
+        if count_tokens(parts_context) > budget_context:
+            log.warning(
+                "context_history",
+                message="context exceeds budget",
+                context_tokens=count_tokens(parts_context),
+                budget=budget_context,
+            )
+            # chop off the top until it fits
+            while count_tokens(parts_context) > budget_context:
+                parts_context.pop(0)
 
+        # DIALOGUE
+        try:
+            summarized_to = self.archived_history[-1]["end"] if self.archived_history else 0
+        except KeyError:
+            # only static archived history entries exist (pre-entered history
+            # that doesnt have start and end timestamps)
+            summarized_to = 0
+        
+        
+        # if summarized_to somehow is bigger than the length of the history
+        # since we have no way to determine where they sync up just put as much of
+        # the dialogue as possible
+        if summarized_to and summarized_to >= history_len:
+            log.warning("context_history", message="summarized_to is greater than history length - may want to regenerate history")
+            summarized_to = 0
+            
+        log.debug("context_history", summarized_to=summarized_to, history_len=history_len)
+        
+        dialogue_messages_collected = 0 
+        
+        #for message in self.history[summarized_to if summarized_to is not None else 0:]:
+        for i in range(len(self.history) - 1, -1, -1):
             message = self.history[i]
+            
+            if i < summarized_to and dialogue_messages_collected >= assured_dialogue_num:
+                break
 
             if message.hidden:
                 continue
-
+            
             if isinstance(message, ReinforcementMessage) and not include_reinfocements:
                 continue
 
-            if isinstance(message, DirectorMessage):
+            elif isinstance(message, DirectorMessage):
                 if not keep_director:
                     continue
 
@@ -1387,45 +1634,30 @@ class Scene(Emitter):
 
                 elif isinstance(keep_director, str) and message.source != keep_director:
                     continue
+            
+            elif isinstance(message, ContextInvestigationMessage) and not keep_context_investigation:
+                continue
+
 
             if count_tokens(parts_dialogue) + count_tokens(message) > budget_dialogue:
                 break
-
+            
             parts_dialogue.insert(
-                0, message.as_format(conversation_format, mode=actor_direction_mode)
+                0, 
+                message.as_format(conversation_format, mode=actor_direction_mode)
             )
-
-        # collect context, ignore where end > len(history) - count
-
-        for i in range(len(self.archived_history) - 1, -1, -1):
-            archive_history_entry = self.archived_history[i]
-            end = archive_history_entry.get("end")
-            start = archive_history_entry.get("start")
-
-            if end is None:
-                continue
-
-            if start > len(self.history) - count:
-                continue
-
-            try:
-                time_message = util.iso8601_diff_to_human(
-                    archive_history_entry["ts"], self.ts
-                )
-                text = f"{time_message}: {archive_history_entry['text']}"
-            except Exception as e:
-                log.error("context_history", error=e, traceback=traceback.format_exc())
-                text = archive_history_entry["text"]
-
-            if count_tokens(parts_context) + count_tokens(text) > budget_context:
-                break
-
-            parts_context.insert(0, condensed(text))
-
+            
+            if isinstance(message, CharacterMessage):
+                dialogue_messages_collected += 1
+                    
+            
         if count_tokens(parts_context + parts_dialogue) < 1024:
             intro = self.get_intro()
             if intro:
                 parts_context.insert(0, intro)
+                
+
+            
 
         return list(map(str, parts_context)) + list(map(str, parts_dialogue))
 
@@ -1450,13 +1682,14 @@ class Scene(Emitter):
 
         popped_reinforcement_messages = []
 
-        while isinstance(message, ReinforcementMessage):
+        while isinstance(message, (ReinforcementMessage, ContextInvestigationMessage)):
             popped_reinforcement_messages.append(self.history.pop())
             message = self.history[idx]
 
         log.debug(f"Rerunning message: {message} [{message.id}]")
 
-        if message.source == "player":
+        if message.source == "player" and not message.from_choice:
+            log.warning("Cannot rerun player's message", message=message)
             return
 
         current_rerun_context = rerun_context.get()
@@ -1562,6 +1795,13 @@ class Scene(Emitter):
         character = self.get_character(character_name)
 
         if character.is_player:
+            
+            if message.from_choice:
+                log.info(f"Rerunning player's generated message: {message} [{message.id}]")
+                emit("remove_message", "", id=message.id)
+                await character.actor.generate_from_choice(message.from_choice)
+                return
+                    
             emit("system", "Cannot rerun player's message")
             return
 
@@ -1569,8 +1809,8 @@ class Scene(Emitter):
 
         # Call talk() for the most recent AI Actor
         actor = character.actor
-
-        new_messages = await actor.talk()
+        
+        new_messages = await actor.talk(instruction=message.from_choice)
 
         # Print the new messages
         for item in new_messages:
@@ -1658,7 +1898,7 @@ class Scene(Emitter):
             "scene_status",
             scene=self.name,
             scene_time=self.ts,
-            human_ts=util.iso8601_duration_to_human(self.ts, suffix=""),
+            human_ts=util.iso8601_duration_to_human(self.ts, suffix="") if self.ts else None,
             saved=self.saved,
         )
 
@@ -1723,6 +1963,84 @@ class Scene(Emitter):
         # TODO: need to adjust archived_history ts as well
         # but removal also probably means the history needs to be regenerated
         # anyway.
+        
+    def fix_time(self):
+        """
+        New implementation of sync_time that will fix time across the board
+        using the base history as the sole source of truth.
+        
+        This means first identifying the time jumps in the base history by
+        looking for TimePassageMessages and then applying those time jumps
+        
+        to the archived history and the layered history based on their start and end
+        indexes.
+        """
+        try:
+            ts = self.ts
+            self._fix_time()
+        except Exception as e:
+            log.exception("fix_time", exc=e)
+            self.ts = ts
+        
+    def _fix_time(self):
+        starting_time = "PT0S"
+        
+        for archived_entry in self.archived_history:
+            if "ts" in archived_entry and "end" not in archived_entry:
+                starting_time = archived_entry["ts"]
+            elif "end" in archived_entry:
+                break
+        
+        # store time jumps by index
+        time_jumps = []
+        
+        for idx, message in enumerate(self.history):
+            if isinstance(message, TimePassageMessage):
+                time_jumps.append((idx, message.ts))
+        
+        # now make the timejumps cumulative, meaning that each time jump
+        # will be the sum of all time jumps up to that point
+        cumulative_time_jumps = []
+        ts = starting_time
+        for idx, ts_jump in time_jumps:
+            ts = util.iso8601_add(ts, ts_jump)
+            cumulative_time_jumps.append((idx, ts))
+            
+        try:
+            ending_time = cumulative_time_jumps[-1][1]
+        except IndexError:
+            # no time jumps found
+            ending_time = starting_time
+            self.ts = ending_time
+            return    
+            
+        # apply time jumps to the archived history
+        ts = starting_time
+        for _, entry in enumerate(self.archived_history):
+            
+            if "end" not in entry:
+                continue
+            
+            # we need to find best_ts by comparing entry["end"]
+            # index to time_jumps (find the closest time jump that is
+            # smaller than entry["end"])
+            
+            best_ts = None
+            for jump_idx, jump_ts in cumulative_time_jumps:
+                if jump_idx < entry["end"]:
+                    best_ts = jump_ts
+                else:
+                    break
+            
+            if best_ts:
+                entry["ts"] = best_ts
+                ts = entry["ts"]
+            else:
+                entry["ts"] = ts
+
+        # finally set scene time to last entry in time_jumps
+        log.debug("fix_time", ending_time=ending_time)
+        self.ts = ending_time
 
     def calc_time(self, start_idx: int = 0, end_idx: int = None):
         """
@@ -1737,7 +2055,7 @@ class Scene(Emitter):
 
         for message in self.history[start_idx:end_idx]:
             if isinstance(message, TimePassageMessage):
-                util.iso8601_add(ts, message.ts)
+                ts = util.iso8601_add(ts, message.ts)
                 found = True
 
         if not found:
@@ -1914,6 +2232,7 @@ class Scene(Emitter):
                 if signal_game_loop:
                     await self.signals["game_loop"].send(game_loop)
 
+                turn_start = signal_game_loop
                 signal_game_loop = True
 
                 for actor in self.actors:
@@ -1952,6 +2271,13 @@ class Scene(Emitter):
 
                     if not actor.character.is_player:
                         await self.call_automated_actions()
+                    elif turn_start:
+                        await self.signals["player_turn_start"].send(
+                            events.PlayerTurnStartEvent(
+                                scene=self,
+                                event_type="player_turn_start",
+                            )
+                        )
 
                     try:
                         message = await actor.talk()
@@ -2140,6 +2466,7 @@ class Scene(Emitter):
             "history": scene.history,
             "environment": scene.environment,
             "archived_history": scene.archived_history,
+            "layered_history": scene.layered_history,
             "characters": [actor.character.serialize for actor in scene.actors],
             "inactive_characters": {
                 name: character.serialize
@@ -2259,6 +2586,7 @@ class Scene(Emitter):
             "history": scene.history,
             "environment": scene.environment,
             "archived_history": scene.archived_history,
+            "layered_history": scene.layered_history,
             "characters": [actor.character.serialize for actor in scene.actors],
             "inactive_characters": {
                 name: character.serialize
diff --git a/src/talemate/util/__init__.py b/src/talemate/util/__init__.py
index 7e338ef9..596ac083 100644
--- a/src/talemate/util/__init__.py
+++ b/src/talemate/util/__init__.py
@@ -18,6 +18,7 @@ from thefuzz import fuzz
 from talemate.scene_message import SceneMessage
 from talemate.util.dialogue import *
 from talemate.util.prompt import *
+from talemate.util.response import *
 
 log = structlog.get_logger("talemate.util")
 
@@ -476,32 +477,35 @@ def duration_to_timedelta(duration):
         return duration
 
     # If it's an isodate.Duration object with separate year, month, day, hour, minute, second attributes
-    days = int(duration.years) * 365 + int(duration.months) * 30 + int(duration.days)
-    seconds = duration.tdelta.seconds
+    days = int(duration.years * 365 + duration.months * 30 + duration.days)
+    seconds = int(duration.tdelta.seconds if hasattr(duration, 'tdelta') else 0)
     return datetime.timedelta(days=days, seconds=seconds)
 
 
 def timedelta_to_duration(delta):
     """Convert a datetime.timedelta object to an isodate.Duration object."""
-    # Extract days and convert to years, months, and days
-    days = delta.days
-    years = days // 365
-    days %= 365
-    months = days // 30
-    days %= 30
-    # Convert remaining seconds to hours, minutes, and seconds
+    total_days = delta.days
+    
+    # Convert days back to years and months
+    years = total_days // 365
+    remaining_days = total_days % 365
+    months = remaining_days // 30
+    days = remaining_days % 30
+    
+    # Convert remaining seconds
     seconds = delta.seconds
     hours = seconds // 3600
     seconds %= 3600
     minutes = seconds // 60
     seconds %= 60
+    
     return isodate.Duration(
         years=years,
         months=months,
         days=days,
         hours=hours,
         minutes=minutes,
-        seconds=seconds,
+        seconds=seconds
     )
 
 
@@ -531,7 +535,58 @@ def iso8601_diff(duration_str1, duration_str2):
     return difference
 
 
-def iso8601_duration_to_human(iso_duration, suffix: str = " ago"):
+def flatten_duration_components(years: int, months: int, weeks: int, days: int, 
+                              hours: int, minutes: int, seconds: int):
+    """
+    Flatten duration components based on total duration following specific rules.
+    Returns adjusted component values based on the total duration.
+    """
+    
+    total_days = years * 365 + months * 30 + weeks * 7 + days
+    total_months = total_days // 30
+    
+    # Less than 1 day - keep original granularity
+    if total_days < 1:
+        return years, months, weeks, days, hours, minutes, seconds
+    
+    # Less than 3 days - show only days and hours
+    elif total_days < 3:
+        if minutes >= 30:  # Round up hours if 30+ minutes
+            hours += 1
+        return 0, 0, 0, total_days, hours, 0, 0
+    
+    # Less than a month - show only days
+    elif total_days < 30:
+        return 0, 0, 0, total_days, 0, 0, 0
+    
+    # Less than 6 months - show months and days
+    elif total_days < 180:
+        new_months = total_days // 30
+        new_days = total_days % 30
+        return 0, new_months, 0, new_days, 0, 0, 0
+    
+    # Less than 1 year - show only months
+    elif total_months < 12:
+        new_months = total_months
+        if days > 15:  # Round up months if 15+ days remain
+            new_months += 1
+        return 0, new_months, 0, 0, 0, 0, 0
+    
+    # Less than 3 years - show years and months
+    elif total_months < 36:
+        new_years = total_months // 12
+        new_months = total_months % 12
+        return new_years, new_months, 0, 0, 0, 0, 0
+    
+    # More than 3 years - show only years
+    else:
+        new_years = total_months // 12
+        if months >= 6:  # Round up years if 6+ months remain
+            new_years += 1
+        return new_years, 0, 0, 0, 0, 0, 0
+
+def iso8601_duration_to_human(iso_duration, suffix: str = " ago", 
+                            zero_time_default: str = "Recently", flatten: bool = True):
     # Parse the ISO8601 duration string into an isodate duration object
     if not isinstance(iso_duration, isodate.Duration):
         duration = isodate.parse_duration(iso_duration)
@@ -554,10 +609,15 @@ def iso8601_duration_to_human(iso_duration, suffix: str = " ago"):
         minutes = (duration.seconds % 3600) // 60
         seconds = duration.seconds % 60
 
-    # Adjust for cases where duration is a timedelta object
     # Convert days to weeks and days if applicable
     weeks, days = divmod(days, 7)
 
+    # If flattening is requested, adjust the components
+    if flatten:
+        years, months, weeks, days, hours, minutes, seconds = flatten_duration_components(
+            years, months, weeks, days, hours, minutes, seconds
+        )
+
     # Build the human-readable components
     components = []
     if years:
@@ -582,18 +642,18 @@ def iso8601_duration_to_human(iso_duration, suffix: str = " ago"):
     elif components:
         human_str = components[0]
     else:
-        human_str = "Moments"
+        return zero_time_default
 
     return f"{human_str}{suffix}"
 
 
-def iso8601_diff_to_human(start, end):
+def iso8601_diff_to_human(start, end, flatten: bool = True):
     if not start or not end:
         return ""
 
     diff = iso8601_diff(start, end)
 
-    return iso8601_duration_to_human(diff)
+    return iso8601_duration_to_human(diff, flatten=flatten)
 
 
 def iso8601_add(date_a: str, date_b: str) -> str:
@@ -935,6 +995,14 @@ def ensure_dialog_format(line: str, talking_character: str = None) -> str:
 
     if talking_character:
         line = line[len(talking_character) + 1 :].lstrip()
+        
+    if line.startswith('*') and line.startswith('*'):
+        if line.count("*") == 2 and not line.count('"'):
+            return f"{talking_character}: {line}" if talking_character else line
+
+    if line.startswith('"') and line.endswith('"'):
+        if line.count('"') == 2 and not line.count('*'):
+            return f"{talking_character}: {line}" if talking_character else line
 
     lines = []
 
diff --git a/src/talemate/util/response.py b/src/talemate/util/response.py
index 75f5b7fe..b0a912a8 100644
--- a/src/talemate/util/response.py
+++ b/src/talemate/util/response.py
@@ -17,8 +17,10 @@ def extract_list(response: str) -> list:
     items = []
 
     # Locate the beginning of the list
-
     lines = response.split("\n")
+    
+    # strip empty lines
+    lines = [line for line in lines if line.strip() != ""]
 
     list_start = None
 
diff --git a/src/talemate/version.py b/src/talemate/version.py
index 84eb2852..c937a8ce 100644
--- a/src/talemate/version.py
+++ b/src/talemate/version.py
@@ -1,3 +1,3 @@
 __all__ = ["VERSION"]
 
-VERSION = "0.27.0"
\ No newline at end of file
+VERSION = "0.28.0"
\ No newline at end of file
diff --git a/talemate_frontend/package-lock.json b/talemate_frontend/package-lock.json
index f8d6176c..bbb84917 100644
--- a/talemate_frontend/package-lock.json
+++ b/talemate_frontend/package-lock.json
@@ -1,12 +1,12 @@
 {
   "name": "talemate_frontend",
-  "version": "0.27.0",
+  "version": "0.28.0",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "talemate_frontend",
-      "version": "0.27.0",
+      "version": "0.28.0",
       "dependencies": {
         "@codemirror/lang-markdown": "^6.2.5",
         "@codemirror/theme-one-dark": "^6.1.2",
@@ -4701,9 +4701,9 @@
       "dev": true
     },
     "node_modules/cookie": {
-      "version": "0.6.0",
-      "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.6.0.tgz",
-      "integrity": "sha512-U71cyTamuh1CRNCfpGY6to28lxvNwPG4Guz/EVjgf3Jmzv0vlDp1atT9eS5dDjMYHucpHbWns6Lwf3BKz6svdw==",
+      "version": "0.7.1",
+      "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.7.1.tgz",
+      "integrity": "sha512-6DnInpx7SJ2AK3+CTUE/ZM0vWTUboZCegxhC2xiIydHR9jNuTAASBrfEpHhiGOZw/nX51bHt6YQl8jsGo4y/0w==",
       "dev": true,
       "engines": {
         "node": ">= 0.6"
@@ -4808,9 +4808,9 @@
       "integrity": "sha512-VQ2MBenTq1fWZUH9DJNGti7kKv6EeAuYr3cLwxUWhIu1baTaXh4Ib5W2CqHVqib4/MqbYGJqiL3Zb8GJZr3l4g=="
     },
     "node_modules/cross-spawn": {
-      "version": "7.0.3",
-      "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.3.tgz",
-      "integrity": "sha512-iRDPJKUPVEND7dHPO8rkbOnPpyDygcDFtWjpeWNCgy8WP2rXcxXL8TskReQl6OrB2G7+UJrags1q15Fudc7G6w==",
+      "version": "7.0.6",
+      "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.6.tgz",
+      "integrity": "sha512-uV2QOWP2nWzsy2aMp8aRibhi9dlzF5Hgh5SHaB9OiTGEyDTiJJyx0uy51QXdyWbtAHNua4XJzUKca3OzKUd3vA==",
       "dev": true,
       "dependencies": {
         "path-key": "^3.1.0",
@@ -6161,9 +6161,9 @@
       }
     },
     "node_modules/execa/node_modules/cross-spawn": {
-      "version": "6.0.5",
-      "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-6.0.5.tgz",
-      "integrity": "sha512-eTVLrBSt7fjbDygz805pMnstIs2VTBNkRm0qxZd+M7A5XDdxVRWO5MxGBXZhjY4cqLYLdtrGqRf8mBPmzwSpWQ==",
+      "version": "6.0.6",
+      "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-6.0.6.tgz",
+      "integrity": "sha512-VqCUuhcd1iB+dsv8gxPttb5iZh/D0iubSP21g36KXdEuf6I5JiioesUVjpCdHV9MZRUfVFlvwtIUyPfxo5trtw==",
       "dev": true,
       "dependencies": {
         "nice-try": "^1.0.4",
@@ -6228,9 +6228,9 @@
       }
     },
     "node_modules/express": {
-      "version": "4.21.0",
-      "resolved": "https://registry.npmjs.org/express/-/express-4.21.0.tgz",
-      "integrity": "sha512-VqcNGcj/Id5ZT1LZ/cfihi3ttTn+NJmkli2eZADigjq29qTlWi/hAQ43t/VLPq8+UX06FCEx3ByOYet6ZFblng==",
+      "version": "4.21.1",
+      "resolved": "https://registry.npmjs.org/express/-/express-4.21.1.tgz",
+      "integrity": "sha512-YSFlK1Ee0/GC8QaO91tHcDxJiE/X4FbpAyQWkxAvG6AXCuR65YzK8ua6D9hvi/TzUfZMpc+BwuM1IPw8fmQBiQ==",
       "dev": true,
       "dependencies": {
         "accepts": "~1.3.8",
@@ -6238,7 +6238,7 @@
         "body-parser": "1.20.3",
         "content-disposition": "0.5.4",
         "content-type": "~1.0.4",
-        "cookie": "0.6.0",
+        "cookie": "0.7.1",
         "cookie-signature": "1.0.6",
         "debug": "2.6.9",
         "depd": "2.0.0",
@@ -7084,9 +7084,9 @@
       }
     },
     "node_modules/http-proxy-middleware": {
-      "version": "2.0.6",
-      "resolved": "https://registry.npmjs.org/http-proxy-middleware/-/http-proxy-middleware-2.0.6.tgz",
-      "integrity": "sha512-ya/UeJ6HVBYxrgYotAZo1KvPWlgB48kUJLDePFeneHsVujFaW5WNj2NgWCAE//B1Dl02BIfYlpNgBy8Kf8Rjmw==",
+      "version": "2.0.7",
+      "resolved": "https://registry.npmjs.org/http-proxy-middleware/-/http-proxy-middleware-2.0.7.tgz",
+      "integrity": "sha512-fgVY8AV7qU7z/MmXJ/rxwbrtQH4jBQ9m7kp3llF0liB7glmFeVZFBepQb32T3y8n8k2+AEYuMPCpinYW+/CuRA==",
       "dev": true,
       "dependencies": {
         "@types/http-proxy": "^1.17.8",
diff --git a/talemate_frontend/package.json b/talemate_frontend/package.json
index cdb079d0..3f9b12a0 100644
--- a/talemate_frontend/package.json
+++ b/talemate_frontend/package.json
@@ -1,6 +1,6 @@
 {
   "name": "talemate_frontend",
-  "version": "0.27.0",
+  "version": "0.28.0",
   "private": true,
   "scripts": {
     "serve": "vue-cli-service serve",
diff --git a/talemate_frontend/src/components/AIAgent.vue b/talemate_frontend/src/components/AIAgent.vue
index 1cb656f4..2d31a806 100644
--- a/talemate_frontend/src/components/AIAgent.vue
+++ b/talemate_frontend/src/components/AIAgent.vue
@@ -62,7 +62,7 @@
                 -->
             </v-list-item>
         </v-list>
-        <AgentModal :dialog="state.dialog" :formTitle="state.formTitle" @save="saveAgent" @update:dialog="updateDialog"></AgentModal>
+        <AgentModal :dialog="state.dialog" :formTitle="state.formTitle" @save="saveAgent" @update:dialog="updateDialog" ref="modal"></AgentModal>
     </div>
 </template>
     
@@ -162,6 +162,14 @@ export default {
         updateDialog(newVal) {
             this.state.dialog = newVal;
         },
+        openSettings(agentName, section) {
+            let index = this.state.agents.findIndex(a => a.name === agentName);
+            if (index !== -1) {
+                this.editAgent(index);
+                if(section)
+                    this.$refs.modal.tab = section;
+            }
+        },
         handleMessage(data) {
             // Handle agent_status message type
             if (data.type === 'agent_status') {
diff --git a/talemate_frontend/src/components/AgentModal.vue b/talemate_frontend/src/components/AgentModal.vue
index 6646d008..395a53be 100644
--- a/talemate_frontend/src/components/AgentModal.vue
+++ b/talemate_frontend/src/components/AgentModal.vue
@@ -19,46 +19,51 @@
       <v-card-text class="scrollable-content">
 
         <v-row>
-          <v-col cols="3">
+          <v-col cols="4">
             <v-tabs v-model="tab" color="primary" direction="vertical">
               <v-tab v-for="item in tabs" :key="item.name" v-model="tab" :value="item.name">
                 <v-icon>{{ item.icon }}</v-icon>
                 {{ item.label }}
               </v-tab>
             </v-tabs>
-      
           </v-col>
-          <v-col cols="9">
+          <v-col cols="8">
             <v-window v-model="tab">
               <v-window-item :value="item.name" v-for="item in tabs" :key="item.name">
                 <v-select v-if="agent.data.requires_llm_client && tab === '_config'" v-model="selectedClient" :items="agent.data.client" label="Client"  @update:modelValue="save(false)"></v-select>
-
-                <v-alert type="warning" variant="tonal" density="compact" v-if="agent.data.experimental">
-                  This agent is currently experimental and may significantly decrease performance and / or require
-                  strong LLMs to function properly.
-                </v-alert>
         
                 <v-sheet v-for="(action, key) in actionsForTab" :key="key" density="compact">
                   <div v-if="testActionConditional(action)">
                     <div>
-                      <v-checkbox v-if="!actionAlwaysEnabled(key) && !action.container" :label="agent.data.actions[key].label" :messages="agent.data.actions[key].description" density="compact" color="primary" v-model="action.enabled" @update:modelValue="save(false)">
+                      <v-checkbox v-if="!actionAlwaysVisible(key, action) && !action.container" :label="agent.data.actions[key].label" :messages="agent.data.actions[key].description" density="compact" color="primary" v-model="action.enabled" @update:modelValue="save(false)">
                         <!-- template details slot -->
                         <template v-slot:message="{ message }">
-                          <span class="text-caption text-grey">{{ message }}</span>
+                          <div class="text-caption text-grey mb-8">{{ message }}</div>
                         </template>
 
                       </v-checkbox>
-                      <p v-else-if="action.container">{{ agent.data.actions[key].description }}</p>
+                      <p v-else-if="action.container" class="text-muted mt-2">
+                        {{ agent.data.actions[key].description }}
+                      </p>
                     </div>
                     <div class="mt-2">
+
+                      <div v-if="action.container && action.can_be_disabled">
+                        <v-checkbox :label="'Enable '+action.label" color="primary" v-model="action.enabled" @update:modelValue="save(false)">
+                          <!-- template details slot -->
+                        </v-checkbox>
+                      </div>
+
                       <div v-for="(action_config, config_key) in agent.data.actions[key].config" :key="config_key">
-                        <div v-if="action.enabled || actionAlwaysEnabled(key)">
+                        <div v-if="action.enabled || actionAlwaysVisible(key, action)">
                           <!-- render config widgets based on action_config.type (int, str, bool, float) -->
                           <v-text-field v-if="action_config.type === 'text' && action_config.choices === null" v-model="action.config[config_key].value" :label="action_config.label" :hint="action_config.description" density="compact" @keyup="save(true)"></v-text-field>
 
+                          <v-textarea v-else-if="action_config.type === 'blob'" v-model="action.config[config_key].value" :label="action_config.label" :hint="action_config.description" density="compact" @keyup="save(true)" rows="5"></v-textarea>
+
                           <v-autocomplete v-else-if="action_config.type === 'text' && action_config.choices !== null" v-model="action.config[config_key].value" :items="action_config.choices" :label="action_config.label" :hint="action_config.description" density="compact" item-title="label" item-value="value" @update:modelValue="save(false)"></v-autocomplete>
 
-                          <v-slider v-if="action_config.type === 'number' && action_config.step !== null" v-model="action.config[config_key].value" :label="action_config.label" :hint="action_config.description" :min="action_config.min" :max="action_config.max" :step="action_config.step" density="compact" thumb-label @update:modelValue="save(true)" color="primary"></v-slider>
+                          <v-slider v-if="action_config.type === 'number' && action_config.step !== null" v-model="action.config[config_key].value" :label="action_config.label" :hint="action_config.description" :min="action_config.min" :max="action_config.max" :step="action_config.step" density="compact" @update:modelValue="save(true)" color="primary" thumb-label="always"></v-slider>
 
                           <v-checkbox v-if="action_config.type === 'bool'" v-model="action.config[config_key].value" :label="action_config.label" :messages="action_config.description" density="compact" @update:modelValue="save(false)" color="primary">
                             <!-- template details slot -->
@@ -70,6 +75,7 @@
                           </v-checkbox>
                             
                           <v-alert v-if="action_config.note != null" variant="outlined" density="compact" color="grey-darken-1" icon="mdi-information">
+                            <div class="text-caption text-mutedheader">{{ action_config.label }}</div>
                             {{ action_config.note }}
                           </v-alert>
                         </div>
@@ -81,6 +87,18 @@
             </v-window>
           </v-col>
         </v-row>
+
+        <v-row>
+          <v-col cols="12">
+            <v-alert type="warning" variant="outlined" density="compact" v-if="agent.data.experimental">
+              <!-- small icon -->
+              <span class="text-caption">
+                This agent is currently experimental and may significantly decrease performance and / or require
+                strong LLMs to function properly.
+              </span>
+            </v-alert>
+          </v-col>
+        </v-row>
       </v-card-text>
     </v-card>
   </v-dialog>
@@ -109,7 +127,9 @@ export default {
       // will cycle through all actions, and each each action that has `container` = True, will be added to the tabs
       // will always add a general tab for the general agent settings
 
-      let tabs = [{ name: "_config", label: "General", icon: "mdi-cog" }];
+      let tabs = [{ name: "_config", label: "General", icon: "mdi-cog", action: {} }];
+
+      console.log("Agent: ", this.agent);
 
       for (let key in this.agent.actions) {
         let action = this.agent.actions[key];
@@ -119,7 +139,7 @@ export default {
           if(this.testActionConditional(action) === false)
             continue;
 
-          tabs.push({ name: key, label: action.label, icon: action.icon });
+          tabs.push({ name: key, label: action.label, icon: action.icon, action:action });
         }
       }
 
@@ -177,8 +197,8 @@ export default {
         return 'Enable';
       }
     },
-    actionAlwaysEnabled(actionName) {
-      if (actionName.charAt(0) === '_') {
+    actionAlwaysVisible(actionName, action) {
+      if (actionName.charAt(0) === '_' || action.container) {
         return true;
       } else {
         return false;
@@ -220,7 +240,7 @@ export default {
 
       this.saveTimeout = setTimeout(() => {
         this.$emit('save', this.agent);
-      }, 500);
+      }, 1500);
 
       //this.$emit('save', this.agent);
     }
diff --git a/talemate_frontend/src/components/AppConfig.vue b/talemate_frontend/src/components/AppConfig.vue
index b42770bd..05aa8f1c 100644
--- a/talemate_frontend/src/components/AppConfig.vue
+++ b/talemate_frontend/src/components/AppConfig.vue
@@ -7,6 +7,10 @@
                     <v-icon start>mdi-gamepad-square</v-icon>
                     Game
                 </v-tab>
+                <v-tab value="appearance">
+                    <v-icon start>mdi-palette-outline</v-icon>
+                    Appearance
+                </v-tab>
                 <v-tab value="application">
                     <v-icon start>mdi-application</v-icon>
                     Application
@@ -90,6 +94,16 @@
                     </v-card>
                 </v-window-item>
 
+                <!-- APPEARANCE -->
+
+                <v-window-item value="appearance">
+                    <AppConfigAppearance 
+                    ref="appearance"
+                    :immutableConfig="app_config" 
+                    :sceneActive="sceneActive"
+                    ></AppConfigAppearance>
+                </v-window-item>
+
                 <!-- APPLICATION -->
 
                 <v-window-item value="application">
@@ -341,11 +355,13 @@
 <script>
 
 import AppConfigPresets from './AppConfigPresets.vue';
+import AppConfigAppearance from './AppConfigAppearance.vue';
 
 export default {
     name: 'AppConfig',
     components: {
         AppConfigPresets,
+        AppConfigAppearance,
     },
     props: {
         agentStatus: Object,
@@ -362,6 +378,9 @@ export default {
                     {title: 'General', icon: 'mdi-cog', value: 'general'},
                     {title: 'Default Character', icon: 'mdi-human-edit', value: 'character'},
                 ],
+                appearance: [
+                    {title: 'Scene', icon: 'mdi-script-text', value: 'scene'},
+                ],
                 application: [
                     {title: 'OpenAI', icon: 'mdi-api', value: 'openai_api'},
                     {title: 'mistral.ai', icon: 'mdi-api', value: 'mistralai_api'},
@@ -472,6 +491,12 @@ export default {
                 }
             }
 
+            // check if appearance component is present
+            if(this.$refs.appearance) {
+                // update app_config.appearance from $refs.appearance.config
+                this.app_config.appearance = this.$refs.appearance.get_config();
+            }
+
             this.sendRequest({
                 action: 'save',
                 config: this.app_config,
diff --git a/talemate_frontend/src/components/AppConfigAppearance.vue b/talemate_frontend/src/components/AppConfigAppearance.vue
new file mode 100644
index 00000000..b02a785a
--- /dev/null
+++ b/talemate_frontend/src/components/AppConfigAppearance.vue
@@ -0,0 +1,51 @@
+<template>
+    <v-tabs color="secondary" v-model="tab">
+        <v-tab v-for="t in tabs" :key="t.value" :value="t.value">
+            <v-icon start>{{ t.icon }}</v-icon>
+            {{ t.title }}
+        </v-tab>
+    </v-tabs>
+    <v-window v-model="tab">
+        <v-window-item value="scene">
+            <AppConfigAppearanceScene ref="scene" :immutableConfig="immutableConfig" :sceneActive="sceneActive"></AppConfigAppearanceScene>
+        </v-window-item>
+    </v-window>
+</template>
+
+<script>
+
+import AppConfigAppearanceScene from './AppConfigAppearanceScene.vue';
+
+export default {
+    name: 'AppConfigAppearance',
+    components: {
+        AppConfigAppearanceScene,
+    },
+    props: {
+        immutableConfig: Object,
+        sceneActive: Boolean,
+    },
+    emits: [
+    ],
+    data() {
+        return {
+            tab: 'scene',
+            tabs: [
+                { title: 'Scene', icon: 'mdi-script-text', value: 'scene' },
+            ]
+        }
+    },
+    methods: {
+        get_config() {
+            let config = {
+                scene: this.immutableConfig.appearance.scene,
+            };
+            if(this.$refs.scene) {
+                config.scene = this.$refs.scene.config;
+            }
+            return config;
+        }
+    },
+}
+
+</script>
\ No newline at end of file
diff --git a/talemate_frontend/src/components/AppConfigAppearanceScene.vue b/talemate_frontend/src/components/AppConfigAppearanceScene.vue
new file mode 100644
index 00000000..726b37d1
--- /dev/null
+++ b/talemate_frontend/src/components/AppConfigAppearanceScene.vue
@@ -0,0 +1,189 @@
+<template>
+
+    <v-row class="ma-5" no-gutters>
+        <v-col cols="12">
+            <v-form v-for="config, typ in config" :key="typ">
+                <v-row>
+                    <v-col cols="3" :class="(colorPickerTarget === typ ? 'text-highlight5' : '')">
+                        <div class="text-caption">{{ typLabelMap[typ] }}</div>
+                    </v-col>
+                    <v-col cols="2">
+                        <v-checkbox :disabled="!canSetStyleOn[typ]" density="compact" v-model="config.italic" label="Italic"></v-checkbox>
+                    </v-col>
+                    <v-col cols="2">
+                        <v-checkbox :disabled="!canSetStyleOn[typ]" density="compact" v-model="config.bold" label="Bold"></v-checkbox>
+                    </v-col>
+                    <v-col cols="2">
+                        <v-checkbox v-if="config.show !== undefined" density="compact" v-model="config.show" label="Show"></v-checkbox>
+                    </v-col>
+                    <v-col class="text-right" cols="3" v-if="canSetColorOn[typ]">
+                        <v-icon class="mt-2" :color="getColor(typ, config.color)" @click="openColorPicker(typ, getColor(typ, config.color))">mdi-circle</v-icon>
+                        <v-btn size="x-small" color="secondary" variant="text" class="mt-2" prepend-icon="mdi-refresh" @click="reset(typ, config)">Reset</v-btn>
+                    </v-col>
+
+                </v-row>
+            </v-form>
+        </v-col>
+    </v-row>
+    <v-row class="ma-5" no-gutters>
+        <v-col cols="8">
+            <v-card elevation="7">
+                <v-card-text>
+                    <div>
+
+                        <span :style="buildCssStyles('narrator_messages', config.narrator_messages)">
+                            The quick brown fox jumps over the lazy dog
+                        </span>
+                        <span :style="buildCssStyles('character_messages', config.character_messages)">
+                            "Wow, that was a quick brown fox - did you see it?"
+                        </span>
+                        <div class="mt-3">
+                            <v-chip :color="getColor('director_messages', config.director_messages.color)">
+                                <v-icon class="mr-2">mdi-bullhorn</v-icon>
+                                <span @click="toggle()">Guy looking at fox</span>
+                            </v-chip>
+                        </div>
+                        <div class="mt-3" :style="buildCssStyles('director_messages', config.director_messages)">
+                            <span>Director instructs</span>
+                            <span class="ml-1 text-decoration-underline">Guy looking at fox</span>
+                            <span class="ml-1">Stop looking at the fox.</span>
+                        </div>
+                        <div class="mt-3">
+
+                            <v-chip :color="getColor('time_messages', config.time_messages.color)">
+                                <v-icon class="mr-2">mdi-clock-outline</v-icon>
+                                <span>3 days later</span>
+                            </v-chip>
+                        </div>
+                        <div class="mt-3">
+                            <!-- context investigations, similar to director messages, with both chip and text -->
+
+                            <v-chip :color="getColor('context_investigation_messages', config.context_investigation_messages.color)">
+                                <v-icon class="mr-2">mdi-text-search</v-icon>
+                                <span>Context Investigation</span>
+                            </v-chip>
+                        </div>
+                        <div class="mt-3" :style="buildCssStyles('context_investigation_messages', config.context_investigation_messages)">
+                            <span>
+                                "The fox was last seen in the forest"
+                            </span>
+                        </div>
+                    </div>
+                </v-card-text>
+            </v-card>
+        </v-col>
+        <v-col cols="4">
+            <v-card :style="'opacity: '+(colorPickerTarget ? 1 : 0)">
+                <v-card-text>
+                    <v-color-picker hide-inputs :disabled="colorPickerTarget === null" v-model="color" @update:model-value="onColorChange"></v-color-picker>
+                </v-card-text>
+            </v-card>
+
+        </v-col>
+    </v-row>
+
+
+</template>
+
+<script>
+
+
+export default {
+    name: 'AppConfigAppearanceScene',
+    components: {
+    },
+    props: {
+        immutableConfig: Object,
+        sceneActive: Boolean,
+    },
+    emits: [
+    ],
+    watch: {
+        immutableConfig: {
+            handler: function(newVal) {
+                console.log('immutableConfig changed', newVal);
+                if(!newVal) {
+                    this.config = {};
+                    return;
+                }
+
+                this.config = {...newVal.appearance.scene};
+            },
+            immediate: true,
+            deep: true,
+        },
+    },
+    data() {
+        return {
+            colorPicker: null,
+            color: "#000000",
+            colorPickerTarget: null,
+            defaultColors: {
+                "narrator_messages": "#B39DDB",
+                "character_messages": "#FFFFFF",
+                "director_messages": "#FF5722",
+                "time_messages": "#B39DDB",
+                "context_investigation_messages": "#607D8B",
+            },
+            typLabelMap: {
+                "narrator_messages": "Narrator Messages",
+                "character_messages": "Character Messages",
+                "director_messages": "Director Messages",
+                "time_messages": "Time Messages",
+                "context_investigation_messages": "Context Investigations",
+            },
+            config: {
+                scene: {}
+            },
+            canSetStyleOn: {
+                "narrator_messages": true,
+                "character_messages": true,
+                "director_messages": true,
+                "context_investigation_messages": true,
+                //"time_messages": true,
+            },
+            canSetColorOn: {
+                "narrator_messages": true,
+                "character_messages": true,
+                "director_messages": true,
+                "time_messages": true,
+                "context_investigation_messages": true,
+            },
+        }
+    },
+    methods: {
+        reset(typ, config) {
+            config.color = null;
+            this.color = this.getColor(typ, config.color);
+        },
+        onColorChange() {
+            this.config[this.colorPickerTarget].color = this.color;
+        },
+        buildCssStyles(typ, config) {
+            let styles = "";
+            if (config.italic) {
+                styles += "font-style: italic;";
+            }
+            if (config.bold) {
+                styles += "font-weight: bold;";
+            }
+            styles += "color: " + this.getColor(typ, config.color) + ";";
+            return styles;
+        },
+        openColorPicker(target, targetColor) {
+            this.color = targetColor;
+            this.colorPicker = true;
+            this.colorPickerTarget = target;
+        },
+
+        getColor(typ, color) {
+            // if color is None load the default color
+            if (color === null) {
+                return this.defaultColors[typ];
+            }
+            return color;
+        }
+    },
+}
+
+</script>
\ No newline at end of file
diff --git a/talemate_frontend/src/components/CharacterMessage.vue b/talemate_frontend/src/components/CharacterMessage.vue
index f084008c..247f2db9 100644
--- a/talemate_frontend/src/components/CharacterMessage.vue
+++ b/talemate_frontend/src/components/CharacterMessage.vue
@@ -1,7 +1,7 @@
 <template>
   <v-alert variant="text" :color="color" icon="mdi-chat-outline" elevation="0" density="compact"  @mouseover="hovered=true" @mouseleave="hovered=false">
     <template v-slot:close>
-      <v-btn size="x-small" icon @click="deleteMessage">
+      <v-btn size="x-small" icon @click="deleteMessage" :disabled="uxLocked">
         <v-icon>mdi-close</v-icon>
       </v-btn>
     </template>
@@ -32,7 +32,7 @@
         >
       </v-textarea>
       <div v-else class="character-text" @dblclick="startEdit()">
-        <span v-for="(part, index) in parts" :key="index" :class="{ highlight: part.isNarrative, 'text-narrator': part.isNarrative }">
+        <span v-for="(part, index) in parts" :key="index" :style="getMessageStyle(part.isNarrative ? 'narrator' : 'character')">
           <span>{{ part.text }}</span>
         </span>
       </div>
@@ -44,14 +44,19 @@
       <v-chip size="x-small" color="grey-lighten-1" v-else-if="!editing && hovered" variant="text" class="mr-1">
         <v-icon>mdi-pencil</v-icon>
         Double-click to edit.</v-chip>
-        <v-chip size="x-small" label color="success" v-if="!editing && hovered" variant="outlined" @click="createPin(message_id)">
+        
+        <!-- create pin -->
+        <v-chip size="x-small" label color="success" v-if="!editing && hovered" variant="outlined" @click="createPin(message_id)" :disabled="uxLocked">
           <v-icon class="mr-1">mdi-pin</v-icon>
           Create Pin
         </v-chip>
-        <v-chip size="x-small" class="ml-2" label color="primary" v-if="!editing && hovered" variant="outlined" @click="fixMessageContinuityErrors(message_id)">
-          <v-icon class="mr-1">mdi-call-split</v-icon>
-          Fix Continuity Errors
+
+        <!-- fork scene -->
+        <v-chip size="x-small" class="ml-2" label color="primary" v-if="!editing && hovered" variant="outlined" @click="forkSceneInitiate(message_id)" :disabled="uxLocked">
+          <v-icon class="mr-1">mdi-source-fork</v-icon>
+          Fork Scene
         </v-chip>
+
     </v-sheet>
     <div v-else style="height:24px">
 
@@ -61,8 +66,8 @@
   
 <script>
 export default {
-  props: ['character', 'text', 'color', 'message_id'],
-  inject: ['requestDeleteMessage', 'getWebsocket', 'createPin', 'fixMessageContinuityErrors', 'autocompleteRequest', 'autocompleteInfoMessage'],
+  props: ['character', 'text', 'color', 'message_id', 'uxLocked'],
+  inject: ['requestDeleteMessage', 'getWebsocket', 'createPin', 'forkSceneInitiate', 'fixMessageContinuityErrors', 'autocompleteRequest', 'autocompleteInfoMessage', 'getMessageStyle'],
   computed: {
     parts() {
       const parts = [];
diff --git a/talemate_frontend/src/components/ContextInvestigationMessage.vue b/talemate_frontend/src/components/ContextInvestigationMessage.vue
new file mode 100644
index 00000000..e5328b3a
--- /dev/null
+++ b/talemate_frontend/src/components/ContextInvestigationMessage.vue
@@ -0,0 +1,75 @@
+<template>
+  <div>
+    <div class="context-investigation-container" v-if="show && minimized" >
+      <v-chip closable :color="getMessageColor('context_investigation', null)" class="clickable" @click:close="deleteMessage()" :disabled="uxLocked">
+        <v-icon class="mr-2">{{ icon }}</v-icon>
+        <span @click="toggle()">Context Investigation</span>
+      </v-chip>
+    </div>
+    <v-alert @click="toggle()" v-else-if="show" class="clickable" variant="text" type="info" :icon="icon" elevation="0" density="compact" @click:close="deleteMessage()" :color="getMessageColor('context_investigation', null)">
+      <span>{{ text }}</span>
+      <v-sheet color="transparent">
+        <v-btn color="secondary" variant="text" size="x-small" prepend-icon="mdi-eye-off" @click.stop="openAppConfig('appearance', 'scene')">Hide these messages</v-btn>
+        <v-btn color="primary" variant="text" size="x-small" prepend-icon="mdi-cogs" @click.stop="openAgentSettings('conversation', 'investigate_context')">Disable context Investigations.</v-btn>
+      </v-sheet>
+    </v-alert>
+  </div>
+</template>
+  
+<script>
+export default {
+  name: 'ContextInvestigationMessage',
+  data() {
+    return {
+      show: true,
+      minimized: true
+    }
+  },
+  computed: {
+    icon() {
+      return "mdi-text-search";
+    }
+  },
+  props: ['text', 'message_id', 'uxLocked'],
+  inject: ['requestDeleteMessage', 'getMessageStyle', 'getMessageColor', 'openAppConfig', 'openAgentSettings'],
+  methods: {
+    toggle() {
+      this.minimized = !this.minimized;
+    },
+    deleteMessage() {
+      this.requestDeleteMessage(this.message_id);
+    }
+  }
+}
+</script>
+  
+<style scoped>
+.highlight {
+  font-style: italic;
+  margin-left: 2px;
+  margin-right: 2px;
+}
+
+.clickable {
+  cursor: pointer;
+}
+
+.highlight:before {
+  --content: "*";
+}
+
+.highlight:after {
+  --content: "*";
+}
+
+.context-investigation-container {
+  margin-left: 10px;
+}
+
+.context-investigation-text::after {
+  content: '"';
+}
+.context-investigation-text::before {
+  content: '"';
+}
+</style>
\ No newline at end of file
diff --git a/talemate_frontend/src/components/DebugTools.vue b/talemate_frontend/src/components/DebugTools.vue
index 7000a05a..b47dfb4f 100644
--- a/talemate_frontend/src/components/DebugTools.vue
+++ b/talemate_frontend/src/components/DebugTools.vue
@@ -65,12 +65,14 @@ export default {
         handleMessage(data) {
             if(this.log_socket_messages) {
 
-                if(this.filter_socket_messages) {
+                if(this.filter_socket_messages != "" && this.filter_socket_messages != null) {
                     if(data.type.indexOf(this.filter_socket_messages) === -1) {
                         return;
                     }
                 }
 
+                console.log(data);
+
             }
         }
     },
diff --git a/talemate_frontend/src/components/DirectorMessage.vue b/talemate_frontend/src/components/DirectorMessage.vue
index 8cd39006..e346f592 100644
--- a/talemate_frontend/src/components/DirectorMessage.vue
+++ b/talemate_frontend/src/components/DirectorMessage.vue
@@ -2,30 +2,29 @@
   <div v-if="character">
     <!-- actor instructions (character direction)-->
     <div class="director-container" v-if="show && minimized" >
-      <v-chip closable color="deep-orange" class="clickable" @click:close="deleteMessage()">
+      <v-chip closable :color="getMessageColor('director', null)" class="clickable" @click:close="deleteMessage()" :disabled="uxLocked">
         <v-icon class="mr-2">{{ icon }}</v-icon>
         <span @click="toggle()">{{ character }}</span>
       </v-chip>
     </div>
-    <v-alert v-else-if="show" color="deep-orange" class="director-message clickable" variant="text" type="info" :icon="icon"
-      elevation="0" density="compact" @click:close="deleteMessage()" >
+    <v-alert v-else-if="show" class="clickable" variant="text" type="info" :icon="icon" :style="getMessageStyle('director')" elevation="0" density="compact" @click:close="deleteMessage()" :color="getMessageColor('director', null)">
       <span v-if="direction_mode==='internal_monologue'">
         <!-- internal monologue -->
-        <span class="director-character text-decoration-underline" @click="toggle()">{{ character }}</span>
-        <span class="director-instructs ml-1" @click="toggle()">thinks</span>
-        <span class="director-text ml-1" @click="toggle()">{{ text }}</span>
+        <span :style="getMessageStyle('director')" class="text-decoration-underline" @click="toggle()">{{ character }}</span>
+        <span :style="getMessageStyle('director')" class="ml-1" @click="toggle()">thinks</span>
+        <span :style="getMessageStyle('director')" class="director-text ml-1" @click="toggle()">{{ text }}</span>
       </span>
       <span v-else>
         <!-- director instructs -->
-        <span class="director-instructs" @click="toggle()">Director instructs</span>
-        <span class="director-character ml-1 text-decoration-underline" @click="toggle()">{{ character }}</span>
-        <span class="director-text ml-1" @click="toggle()">{{ text }}</span>
+        <span :style="getMessageStyle('director')" @click="toggle()">Director instructs</span>
+        <span :style="getMessageStyle('director')" class="ml-1 text-decoration-underline" @click="toggle()">{{ character }}</span>
+        <span :style="getMessageStyle('director')" class="director-text ml-1" @click="toggle()">{{ text }}</span>
       </span>
 
     </v-alert>
   </div>
   <div v-else-if="action">
-    <v-alert color="deep-purple-lighten-2" class="director-message" variant="text" type="info" :icon="icon"
+    <v-alert :color="getMessageColor('director', null)" variant="text" type="info" :icon="icon"
     elevation="0" density="compact" >
 
       <div>{{ text }}</div>
@@ -54,8 +53,8 @@ export default {
       }
     }
   },
-  props: ['text', 'message_id', 'character', 'direction_mode', 'action'],
-  inject: ['requestDeleteMessage'],
+  props: ['text', 'message_id', 'character', 'direction_mode', 'action', 'uxLocked'],
+  inject: ['requestDeleteMessage', 'getMessageStyle', 'getMessageColor'],
   methods: {
     toggle() {
       this.minimized = !this.minimized;
@@ -69,7 +68,6 @@ export default {
   
 <style scoped>
 .highlight {
-  color: #9FA8DA;
   font-style: italic;
   margin-left: 2px;
   margin-right: 2px;
@@ -87,23 +85,10 @@ export default {
   --content: "*";
 }
 
-.director-message {
-  color: #9FA8DA;
-}
-
 .director-container {
   margin-left: 10px;
 }
 
-.director-instructs {
-  /* Add your CSS styles for "Director instructs" here */
-  color: #BF360C;
-}
-
-.director-text {
-  /* Add your CSS styles for the actual instruction here */
-  color: #EF6C00;
-}
 .director-text::after {
   content: '"';
 }
diff --git a/talemate_frontend/src/components/IntroRecentScenes.vue b/talemate_frontend/src/components/IntroRecentScenes.vue
index 0390e957..fe832beb 100644
--- a/talemate_frontend/src/components/IntroRecentScenes.vue
+++ b/talemate_frontend/src/components/IntroRecentScenes.vue
@@ -18,7 +18,7 @@
         <v-card-text v-if="config != null">
             <div class="tiles">
                 <div class="tile" v-for="(scene, index) in recentScenes()" :key="index">
-                    <v-card density="compact" elevation="7"  @click="loadScene(scene)" color="primary" variant="outlined">
+                    <v-card :disabled="!sceneLoadingAvailable || sceneIsLoading" density="compact" elevation="7"  @click="loadScene(scene)" color="primary" variant="outlined">
                         <v-card-title>
                             {{ filenameToTitle(scene.filename) }}
                         </v-card-title>
@@ -42,6 +42,7 @@
 export default {
     name: 'IntroRecentScenes',
     props: {
+        sceneIsLoading: Boolean,
         sceneLoadingAvailable: Boolean,
         config: Object,
     },
@@ -177,4 +178,8 @@ export default {
     max-width: 275px;
 }
 
+.v-card:disabled {
+    opacity: 0.5;
+}
+
 </style>
\ No newline at end of file
diff --git a/talemate_frontend/src/components/IntroView.vue b/talemate_frontend/src/components/IntroView.vue
index 90c842c2..bc2bc5b6 100644
--- a/talemate_frontend/src/components/IntroView.vue
+++ b/talemate_frontend/src/components/IntroView.vue
@@ -1,7 +1,7 @@
 <template>
   <v-row>
     <v-col cols="12" v-if="sceneLoadingAvailable">
-      <IntroRecentScenes :config="config" :scene-loading-available="sceneLoadingAvailable"  @request-scene-load="requestSceneLoad"/>
+      <IntroRecentScenes :config="config" :scene-is-loading="sceneIsLoading" :scene-loading-available="sceneLoadingAvailable"  @request-scene-load="requestSceneLoad"/>
     </v-col>
   </v-row>
   <v-row v-if="false">
@@ -38,6 +38,7 @@ export default {
   props: {
     version: String,
     sceneLoadingAvailable: Boolean,
+    sceneIsLoading: Boolean,
     config: Object,
   },
   emits: ['request-scene-load'],
diff --git a/talemate_frontend/src/components/NarratorMessage.vue b/talemate_frontend/src/components/NarratorMessage.vue
index 9ddbd7e9..0ab0b3c8 100644
--- a/talemate_frontend/src/components/NarratorMessage.vue
+++ b/talemate_frontend/src/components/NarratorMessage.vue
@@ -1,7 +1,7 @@
 <template>
   <v-alert variant="text" color="narrator" icon="mdi-script-text-outline" elevation="0" density="compact"  @mouseover="hovered=true" @mouseleave="hovered=false">
     <template v-slot:close>
-      <v-btn size="x-small" icon @click="deleteMessage">
+      <v-btn size="x-small" icon @click="deleteMessage" :disabled="uxLocked">
         <v-icon>mdi-close</v-icon>
       </v-btn>
     </template>
@@ -24,7 +24,7 @@
         @keydown.escape.prevent="cancelEdit()">
       </v-textarea>
       <div v-else class="narrator-text" @dblclick="startEdit()">
-        <span v-for="(part, index) in parts" :key="index" :class="{ highlight: part.isNarrative, 'text-narrator': part.isNarrative }">
+        <span v-for="(part, index) in parts" :key="index" :style="getMessageStyle(part.isNarrative ? 'narrator' : 'character')">
           {{ part.text }}
         </span>
       </div>
@@ -50,8 +50,8 @@
   
 <script>
 export default {
-  props: ['text', 'message_id'],
-  inject: ['requestDeleteMessage', 'getWebsocket', 'createPin', 'fixMessageContinuityErrors', 'autocompleteRequest', 'autocompleteInfoMessage'],
+  props: ['text', 'message_id', 'uxLocked'],
+  inject: ['requestDeleteMessage', 'getWebsocket', 'createPin', 'fixMessageContinuityErrors', 'autocompleteRequest', 'autocompleteInfoMessage', 'getMessageStyle'],
   computed: {
     parts() {
       const parts = [];
diff --git a/talemate_frontend/src/components/PlayerChoiceMessage.vue b/talemate_frontend/src/components/PlayerChoiceMessage.vue
new file mode 100644
index 00000000..77b0f3e1
--- /dev/null
+++ b/talemate_frontend/src/components/PlayerChoiceMessage.vue
@@ -0,0 +1,80 @@
+<template>
+    <v-alert color="muted" variant="text">
+        <template v-slot:close>
+            <v-btn size="x-small" icon @click="cancel">
+                <v-icon>mdi-close</v-icon>
+            </v-btn>
+        </template>
+        <v-card-title class="text-subtitle-1">
+            The
+            <span class="text-director text-secondary"><v-icon size="small">mdi-bullhorn</v-icon> Director</span> 
+            suggests some actions
+
+            <v-btn variant="text" size="small" color="secondary" prepend-icon="mdi-refresh" @click="regenerate" :disabled="busy">Regenerate</v-btn>
+            <v-btn variant="text" size="small" color="primary" prepend-icon="mdi-cogs" @click="settings" :disabled="busy">Settings</v-btn>
+        </v-card-title>
+
+        <p v-if="busy">
+            <v-progress-linear color="primary" height="2" indeterminate></v-progress-linear>
+        </p>
+
+        <v-list density="compact" :disabled="busy">
+            <v-list-item v-for="(choice, index) in choices" :key="index" @click="selectChoice(index)">
+                <v-list-item-title>
+                    {{ choice }}
+                </v-list-item-title>
+            </v-list-item>
+            <v-list-item @click="cancel" prepend-icon="mdi-cancel">
+                <v-list-item-title>Cancel</v-list-item-title>
+            </v-list-item>
+        </v-list>
+    </v-alert>
+
+
+</template>
+
+<script>
+
+export default {
+    name: 'PlayerChoiceMessage',
+    props: {
+        choices: Array,
+    },
+    data() {
+        return {
+            busy: false,
+        }
+    },
+    watch: {
+        choices() {
+            this.busy = false;
+        }
+    },
+    inject: ['getWebsocket', 'registerMessageHandler', 'setWaitingForInput', 'unregisterMessageHandler', 'openAgentSettings'],
+    emits: ['close'],
+    methods: {
+        selectChoice(index) {
+            this.$emit('close');
+            this.getWebsocket().send(JSON.stringify({
+                type: "director",
+                action: "select_choice",
+                choice: this.choices[index],
+            }));
+        },
+        settings() {
+            this.openAgentSettings('director', '_generate_choices');
+        },
+        cancel() {
+            this.$emit('close');
+        },
+        regenerate() {
+            this.busy = true;
+            this.getWebsocket().send(JSON.stringify({
+                type: "director",
+                action: "generate_choices",
+            }));
+        },
+    }
+}
+
+</script>
\ No newline at end of file
diff --git a/talemate_frontend/src/components/RequestInput.vue b/talemate_frontend/src/components/RequestInput.vue
index 5d70665e..fb529071 100644
--- a/talemate_frontend/src/components/RequestInput.vue
+++ b/talemate_frontend/src/components/RequestInput.vue
@@ -5,6 +5,11 @@
                 <span class="headline">{{ title }}</span>
             </v-card-title>
             <v-card-text>
+
+                <v-alert v-if="instructions" color="muted" variant="text">
+                    {{ instructions }}
+                </v-alert>
+
                 <v-form @submit.prevent="proceed" ref="form" v-model="valid">
                     <v-row v-if="inputType === 'multiline'">
                         <v-col cols="12">
@@ -45,6 +50,7 @@ export default {
     name: "RequestInput",
     props: {
         title: String,
+        instructions: String,
         inputType: {
             type: String,
             default: 'text',
@@ -54,6 +60,7 @@ export default {
         return {
             open: false,
             valid: false,
+            extra_params: {},
             input: '',
             rules: {
                 required: value => !!value || 'Required.',
@@ -69,15 +76,16 @@ export default {
                 return;
             }
 
-            this.$emit('continue', this.input);
+            this.$emit('continue', this.input, this.extra_params);
             this.open = false;
         },
         cancel() {
             this.$emit('cancel');
             this.open = false;
         },
-        openDialog() {
+        openDialog(extra_params) {
             this.open = true;
+            this.extra_params = extra_params;
             this.input = '';
         }
     }
diff --git a/talemate_frontend/src/components/SceneMessages.vue b/talemate_frontend/src/components/SceneMessages.vue
index ee15a7c3..ac589292 100644
--- a/talemate_frontend/src/components/SceneMessages.vue
+++ b/talemate_frontend/src/components/SceneMessages.vue
@@ -1,10 +1,16 @@
 <template>
+    <RequestInput 
+    ref="requestForkName" 
+    title="Save Forked Scene As"
+    instructions="A new copy of the scene will be forked from the message you've selected. All progress after the message will be removed, allowing you to make new choices and take the scene in a different direction."
+    @continue="(name, params) => { forkScene(params.message_id, name) }" /> 
+
     <div class="message-container" ref="messageContainer" style="flex-grow: 1; overflow-y: auto;">
         <div v-for="(message, index) in messages" :key="index">
             <div v-if="message.type === 'character' || message.type === 'processing_input'"
                 :class="`message ${message.type}`" :id="`message-${message.id}`" :style="{ borderColor: message.color }">
                 <div class="character-message">
-                    <CharacterMessage :character="message.character" :text="message.text" :color="message.color" :message_id="message.id" />
+                    <CharacterMessage :character="message.character" :text="message.text" :color="message.color" :message_id="message.id" :uxLocked="uxLocked" />
                 </div>
             </div>
             <div v-else-if="message.type === 'request_input' && message.choices">
@@ -37,21 +43,31 @@
             </div>
             <div v-else-if="message.type === 'narrator'" :class="`message ${message.type}`">
                 <div class="narrator-message"  :id="`message-${message.id}`">
-                    <NarratorMessage :text="message.text" :message_id="message.id" />
+                    <NarratorMessage :text="message.text" :message_id="message.id" :uxLocked="uxLocked" />
                 </div>
             </div>
-            <div v-else-if="message.type === 'director'" :class="`message ${message.type}`">
+            <div v-else-if="message.type === 'director' && !getMessageTypeHidden(message.type)" :class="`message ${message.type}`">
                 <div class="director-message"  :id="`message-${message.id}`">
-                    <DirectorMessage :text="message.text" :message_id="message.id" :character="message.character" :direction_mode="message.direction_mode" :action="message.action"/>
+                    <DirectorMessage :text="message.text" :message_id="message.id" :character="message.character" :direction_mode="message.direction_mode" :action="message.action" :uxLocked="uxLocked"/>
                 </div>
             </div>
             <div v-else-if="message.type === 'time'" :class="`message ${message.type}`">
                 <div class="time-message"  :id="`message-${message.id}`">
-                    <TimePassageMessage :text="message.text" :message_id="message.id" :ts="message.ts" />
+                    <TimePassageMessage :text="message.text" :message_id="message.id" :ts="message.ts" :uxLocked="uxLocked" />
+                </div>
+            </div>
+            <div v-else-if="message.type === 'player_choice'" :class="`message ${message.type}`">
+                <div class="player-choice-message"  :id="`message-player-choice`">
+                    <PlayerChoiceMessage :choices="message.data.choices" @close="closePlayerChoice" :uxLocked="uxLocked" />
+                </div>
+            </div>
+            <div v-else-if="message.type === 'context_investigation' && !getMessageTypeHidden(message.type)" :class="`message ${message.type}`">
+                <div class="context-investigation-message"  :id="`message-${message.id}`">
+                    <ContextInvestigationMessage :text="message.text" :message_id="message.id" :uxLocked="uxLocked" />
                 </div>
             </div>
 
-            <div v-else :class="`message ${message.type}`">
+            <div v-else-if="!getMessageTypeHidden(message.type)" :class="`message ${message.type}`">
                 {{ message.text }}
             </div>
         </div>
@@ -64,6 +80,9 @@ import NarratorMessage from './NarratorMessage.vue';
 import DirectorMessage from './DirectorMessage.vue';
 import TimePassageMessage from './TimePassageMessage.vue';
 import StatusMessage from './StatusMessage.vue';
+import RequestInput from './RequestInput.vue';
+import PlayerChoiceMessage from './PlayerChoiceMessage.vue';
+import ContextInvestigationMessage from './ContextInvestigationMessage.vue';
 
 const MESSAGE_FLAGS = {
     NONE: 0,
@@ -72,16 +91,35 @@ const MESSAGE_FLAGS = {
 
 export default {
     name: 'SceneMessages',
+    props: {
+        appearanceConfig: {
+            type: Object,
+        },
+        uxLocked: {
+            type: Boolean,
+            default: false,
+        },
+    },
     components: {
         CharacterMessage,
         NarratorMessage,
         DirectorMessage,
         TimePassageMessage,
         StatusMessage,
+        RequestInput,
+        PlayerChoiceMessage,
+        ContextInvestigationMessage,
     },
     data() {
         return {
             messages: [],
+            defaultColors: {
+                "narrator": "#B39DDB",
+                "character": "#FFFFFF",
+                "director": "#FF5722",
+                "time": "#B39DDB",
+                "context_investigation": "#607D8B",
+            },
         }
     },
     inject: ['getWebsocket', 'registerMessageHandler', 'setWaitingForInput'],
@@ -90,10 +128,47 @@ export default {
             requestDeleteMessage: this.requestDeleteMessage,
             createPin: this.createPin,
             fixMessageContinuityErrors: this.fixMessageContinuityErrors,
+            forkSceneInitiate: this.forkSceneInitiate,
+            getMessageColor: this.getMessageColor,
+            getMessageStyle: this.getMessageStyle,
         }
     },
     methods: {
 
+        getMessageColor(typ,color) {
+            if(!this.appearanceConfig || !this.appearanceConfig.scene[`${typ}_messages`].color) {
+                return this.defaultColors[typ];
+            }
+
+            return color || this.appearanceConfig.scene[`${typ}_messages`].color;
+        },
+
+        getMessageTypeHidden(typ) {
+            // messages are hidden if appearanceCOnfig.scene[`${typ}_messages`].show is false
+            // true and undefined are the same
+
+            if(!this.appearanceConfig || !this.appearanceConfig.scene[`${typ}_messages`]) {
+                return false;
+            } else if(this.appearanceConfig && this.appearanceConfig.scene[`${typ}_messages`].show === false) {
+                return true;
+            }
+
+            return false;
+        },
+
+        getMessageStyle(typ) {
+            let styles = "";
+            let config = this.appearanceConfig.scene[`${typ}_messages`];
+            if (config.italic) {
+                styles += "font-style: italic;";
+            }
+            if (config.bold) {
+                styles += "font-weight: bold;";
+            }
+            styles += "color: " + this.getMessageColor(typ, config.color) + ";";
+            return styles;
+        },
+
         clear() {
             this.messages = [];
         },
@@ -164,6 +239,31 @@ export default {
             ].includes(type);
         },
 
+        closePlayerChoice() {
+            // find the most recent player choice message and remove it
+            for (let i = this.messages.length - 1; i >= 0; i--) {
+                if (this.messages[i].type === 'player_choice') {
+                    this.messages.splice(i, 1);
+                    break;
+                }
+            }
+        },
+
+        forkSceneInitiate(message_id) {
+            this.$refs.requestForkName.openDialog(
+                { message_id: message_id }
+            );
+        },
+
+        forkScene(message_id, save_name) {
+            this.getWebsocket().send(JSON.stringify({ 
+                type: 'assistant',
+                action: 'fork_new_scene',
+                message_id: message_id,
+                save_name: save_name,
+            }));
+        },
+
         handleMessage(data) {
 
             var i;
@@ -174,6 +274,14 @@ export default {
 
             if (data.type == "remove_message") {
 
+                // if the last message is a player_choice message
+                // and the second to last message is the message to remove
+                // also remove the player_choice message
+
+                if (this.messages.length > 1 && this.messages[this.messages.length - 1].type === 'player_choice' && this.messages[this.messages.length - 2].id === data.id) {
+                    this.messages.pop();
+                }
+
                 // find message where type == "character" and id == data.id
                 // remove that message from the array
                 let newMessages = [];
@@ -229,6 +337,13 @@ export default {
                     return;
                 }
 
+                // if the previous message was a player choice message, remove it
+                if (this.messageTypeIsSceneMessage(data.type)) {
+                    if(this.messages.length > 0 && this.messages[this.messages.length - 1].type === 'player_choice') {
+                        this.messages.pop();
+                    }
+                }
+
                 if (data.type === 'character') {
                     const parts = data.message.split(':');
                     const character = parts.shift();
@@ -244,6 +359,9 @@ export default {
                             action: data.action
                         }
                     );
+                } else if (data.type === 'player_choice') {
+                    console.log('player_choice', data);
+                    this.messages.push({ id: data.id, type: data.type, data: data.data });
                 } else if (this.messageTypeIsSceneMessage(data.type)) {
                     this.messages.push({ id: data.id, type: data.type, text: data.message, color: data.color, character: data.character, status:data.status, ts:data.ts }); // Add color property to the message
                 } else if (data.type === 'status' && data.data && data.data.as_scene_message === true) {
diff --git a/talemate_frontend/src/components/StatusNotification.vue b/talemate_frontend/src/components/StatusNotification.vue
index fb325fad..13d87c9f 100644
--- a/talemate_frontend/src/components/StatusNotification.vue
+++ b/talemate_frontend/src/components/StatusNotification.vue
@@ -3,7 +3,7 @@
         <v-progress-circular v-if="statusMessageType === 'busy'" indeterminate="disable-shrink" color="primary" size="20"></v-progress-circular>
         <v-icon v-else>{{ notificationIcon() }}</v-icon>
         <span class="ml-2">{{ statusMessageText }}</span>
-
+        <v-btn v-if="cancellable" class="ml-2" size="small" color="delete" icon rounded="0" elevation="0" variant="text" @click="cancel"><v-icon>mdi-cancel</v-icon></v-btn>
     </v-snackbar>
 </template>
 
@@ -15,11 +15,15 @@ export default {
             statusMessage: false,
             statusMessageText: '',
             statusMessageType: '',
+            cancellable: false,
         }
     },
     inject: ['getWebsocket', 'registerMessageHandler', 'setWaitingForInput'],
     methods: {
 
+        cancel: function() {
+            this.getWebsocket().send(JSON.stringify({type: 'interrupt'}));
+        },
 
         notificationTimeout: function() {
             switch(this.statusMessageType) {
@@ -76,6 +80,7 @@ export default {
                     this.statusMessage = true;
                     this.statusMessageText = data.message;
                     this.statusMessageType = data.status;
+                    this.cancellable = data.data && data.data.cancellable;
                 }
             }
         },
diff --git a/talemate_frontend/src/components/TalemateApp.vue b/talemate_frontend/src/components/TalemateApp.vue
index 0b4d314b..50d763b2 100644
--- a/talemate_frontend/src/components/TalemateApp.vue
+++ b/talemate_frontend/src/components/TalemateApp.vue
@@ -144,6 +144,7 @@
             @request-scene-load="(path) => {  resetViews(); $refs.loadScene.loadJsonSceneFromPath(path); }"
             :version="version" 
             :scene-loading-available="ready && connected"
+            :scene-is-loading="loading"
             :config="appConfig" />
           </v-tabs-window-item>
           <!-- SCENE -->
@@ -160,7 +161,7 @@
                 </v-alert>
               </div>
 
-              <SceneMessages ref="sceneMessages" />
+              <SceneMessages ref="sceneMessages" :appearance-config="appConfig ? appConfig.appearance : {}" :ux-locked="uxLocked" />
               <div style="flex-shrink: 0;">
       
                 <SceneTools 
@@ -373,6 +374,25 @@ export default {
       return Object.keys(this.clientStatus).sort((a, b) => {
         return this.clientStatus[a].label.localeCompare(this.clientStatus[b].label);
       });
+    },
+    uxLocked() {
+      // no scene loaded, not locked
+      if(!this.sceneActive) {
+        return false;
+      }
+
+      // if loading, ux is locked
+      if(this.loading) {
+        return true;
+      }
+
+      // if not waiting for input then ux is locked
+      if(!this.waitingForInput) {
+        return true;
+      }
+
+      return false;
+
     }
   },
   mounted() {
@@ -398,6 +418,7 @@ export default {
       scene: () => this.scene,
       getClients: () => this.getClients(),
       getAgents: () => this.getAgents(),
+      openAgentSettings: this.openAgentSettings,
       requestSceneAssets: (asset_ids) => this.requestSceneAssets(asset_ids),
       requestAssets: (assets) => this.requestAssets(assets),
       openCharacterSheet: (characterName) => this.openCharacterSheet(characterName),
@@ -405,12 +426,13 @@ export default {
       creativeEditor: () => this.$refs.creativeEditor,
       requestAppConfig: () => this.requestAppConfig(),
       appConfig: () => this.appConfig,
+      openAppConfig: this.openAppConfig,
       configurationRequired: () => this.configurationRequired(),
       getTrackedCharacterState: (name, question) => this.$refs.worldState.trackedCharacterState(name, question),
       getTrackedWorldState: (question) => this.$refs.worldState.trackedWorldState(question),
       getPlayerCharacterName: () => this.getPlayerCharacterName(),
       formatWorldStateTemplateString: (templateString, chracterName) => this.formatWorldStateTemplateString(templateString, chracterName),
-      autocompleteRequest: (partialInput, callback, focus_element) => this.autocompleteRequest(partialInput, callback, focus_element),
+      autocompleteRequest: (partialInput, callback, focus_element, delay) => this.autocompleteRequest(partialInput, callback, focus_element, delay),
       autocompleteInfoMessage: (active) => this.autocompleteInfoMessage(active),
       toLabel: (value) => this.toLabel(value),
     };
@@ -723,7 +745,8 @@ export default {
             this.autocompleting = false
             this.messageInput += completion;
           },
-          this.$refs.messageInput
+          this.$refs.messageInput,
+          100,
         );
         return;
       }
@@ -749,9 +772,13 @@ export default {
       }));
     },
 
-    autocompleteRequest(param, callback, focus_element) {
+    autocompleteRequest(param, callback, focus_element, delay=500) {
 
-      this.autocompleteCallback = callback;
+      this.autocompleteCallback = (completion) => {
+        setTimeout(() => {
+          callback(completion);
+        }, delay);
+      };
       this.autocompleteFocusElement = focus_element;
       this.autocompletePartialInput = param.partial;
 
@@ -778,16 +805,30 @@ export default {
       }
 
       let selectedCharacter = null;
+      let foundActAs = false;
 
       for(let characterName of this.activeCharacters) {
-        if(this.actAs === null && characterName === playerCharacterName)  {
-          continue;
+        // actAs is $narrator so we take the first character in the list
+        if(this.actAs === "$narrator") {
+          selectedCharacter = characterName;
+          break;
         }
-        if(this.actAs === characterName) {
-          continue;
+        // actAs is null, so we take the first character in the list that is not
+        // the player character
+        if(this.actAs === null && characterName !== playerCharacterName) {
+          selectedCharacter = characterName;
+          break;
+        }
+        // actAs is set, so we find the first non player character after the current actAs
+        // if actAs is the last character in the list, we set actAs to null
+        if(foundActAs) {
+          selectedCharacter = characterName;
+          break;
+        } else {
+          if(characterName === this.actAs) {
+            foundActAs = true;
+          }
         }
-        selectedCharacter = characterName;
-        break;
       }
 
       if(selectedCharacter === null || selectedCharacter === playerCharacterName) {
@@ -869,6 +910,9 @@ export default {
       }
       return null;
     },
+    openAgentSettings(agentName, section) {
+      this.$refs.aiAgent.openSettings(agentName, section);
+    },
     configurationRequired() {
       if (!this.$refs.aiClient || this.connecting || (!this.connecting && !this.connected)) {
         return false;
@@ -969,7 +1013,7 @@ export default {
     },
 
     messageInputLongHint() {
-      const DIALOG_HINT = "Ctrl+Enter to autocomplete, Shift+Enter for newline, Tab to act as another character";
+      const DIALOG_HINT = "Ctrl+Enter to autocomplete, Shift+Enter for newline, Tab to act as another character. Start messages with '@' to do an action. (e.g., '@look at the door')";
 
       if(this.waitingForInput) {
         if(this.inputRequestInfo.reason === "talk") {
diff --git a/talemate_frontend/src/components/TimePassageMessage.vue b/talemate_frontend/src/components/TimePassageMessage.vue
index bb9c7fed..7005cb9a 100644
--- a/talemate_frontend/src/components/TimePassageMessage.vue
+++ b/talemate_frontend/src/components/TimePassageMessage.vue
@@ -1,6 +1,6 @@
 <template>
   <div class="time-container" v-if="show && minimized" >
-    <v-chip closable @click:close="deleteMessage()" color="deep-purple-lighten-3">
+    <v-chip closable @click:close="deleteMessage()" :color="getMessageColor('time',null)" :disabled="uxLocked">
       <v-icon class="mr-2">mdi-clock-outline</v-icon>
       <span>{{ text }}</span>
     </v-chip>
@@ -15,8 +15,8 @@ export default {
       minimized: true
     }
   },
-  props: ['text', 'message_id', 'ts'],
-  inject: ['requestDeleteMessage'],
+  props: ['text', 'message_id', 'ts', 'uxLocked'],
+  inject: ['requestDeleteMessage', 'getMessageStyle', 'getMessageColor'],
   methods: {
     toggle() {
       this.minimized = !this.minimized;
diff --git a/talemate_frontend/src/components/WorldStateManager.vue b/talemate_frontend/src/components/WorldStateManager.vue
index a5a0b8fd..60071f67 100644
--- a/talemate_frontend/src/components/WorldStateManager.vue
+++ b/talemate_frontend/src/components/WorldStateManager.vue
@@ -413,6 +413,7 @@ export default {
                 type: 'world_state_manager',
                 action: 'save_scene',
                 save_as: copy ? copy : null,
+                project_name: this.scene.data.filename ? this.scene.data.name : this.scene.data.title
             }));
         },
 
diff --git a/talemate_frontend/src/components/WorldStateManagerCharacter.vue b/talemate_frontend/src/components/WorldStateManagerCharacter.vue
index 627228e2..651bc305 100644
--- a/talemate_frontend/src/components/WorldStateManagerCharacter.vue
+++ b/talemate_frontend/src/components/WorldStateManagerCharacter.vue
@@ -395,7 +395,7 @@ export default {
         handleMessage(message) {
             if(message.type == "image_generated") {
                 this.coverImageBusy = false;
-                if(message.data.context.character_name === this.character.name) {
+                if(this.character && message.data.context.character_name === this.character.name) {
                     this.loadCharacter(this.character.name);
                 }
             } 
diff --git a/talemate_frontend/src/components/WorldStateManagerCharacterActor.vue b/talemate_frontend/src/components/WorldStateManagerCharacterActor.vue
index 5c8182ca..38042dd0 100644
--- a/talemate_frontend/src/components/WorldStateManagerCharacterActor.vue
+++ b/talemate_frontend/src/components/WorldStateManagerCharacterActor.vue
@@ -29,7 +29,8 @@
                 placeholder="speak less formally, use more contractions, and be more casual." 
                 v-model="dialogueInstructions" label="Acting Instructions" 
                 :color="dialogueInstructionsDirty ? 'info' : null"
-                @update:model-value="queueUpdateCharacterActor()"
+                @update:model-value="dialogueInstructionsDirty = true"
+                @blur="updateCharacterActor(true)"
                 rows="3" 
                 auto-grow></v-textarea>
                 <v-alert icon="mdi-bullhorn" density="compact" variant="text" color="grey">
@@ -57,15 +58,15 @@
                     :character="character.name"
                     :rewrite-enabled="false"
                     :generation-options="generationOptions"
-                    @generate="content => { dialogueExamples.push(content); queueUpdateCharacterActor(500); }"
+                    @generate="content => { dialogueExamples.push(content); updateCharacterActor(); }"
                 />
 
 
-                <v-text-field v-model="dialogueExample" label="Add Dialogue Example" @keyup.enter="dialogueExamples.push(dialogueExample); dialogueExample = ''; queueUpdateCharacterActor();" dense></v-text-field>
+                <v-text-field v-model="dialogueExample" label="Add Dialogue Example" @keyup.enter="dialogueExamples.push(dialogueExample); dialogueExample = ''; updateCharacterActor();" dense></v-text-field>
                 <v-list density="compact" nav>
                     <v-list-item v-for="(example, index) in dialogueExamplesWithNameStripped" :key="index">
                         <template v-slot:prepend>
-                            <v-btn  color="red-darken-2" rounded="sm" size="x-small" icon variant="text" @click="dialogueExamples.splice(index, 1); queueUpdateCharacterActor()">
+                            <v-btn  color="red-darken-2" rounded="sm" size="x-small" icon variant="text" @click="dialogueExamples.splice(index, 1); updateCharacterActor()">
                                 <v-icon>mdi-close-box-outline</v-icon>
                             </v-btn>
                         </template>
@@ -132,16 +133,13 @@ export default {
     ],
     inject: ['getWebsocket', 'registerMessageHandler'],
     methods: {
-
-        queueUpdateCharacterActor(delay = 1500) {
-            this.dialogueInstructionsDirty = true;
-            if (this.updateCharacterActorTimeout) {
-                clearTimeout(this.updateCharacterActorTimeout);
-            }
-            this.updateCharacterActorTimeout = setTimeout(this.updateCharacterActor, delay);
-        },
         
-        updateCharacterActor() {
+        updateCharacterActor(only_if_dirty = false) {
+
+            if(only_if_dirty && !this.dialogueInstructionsDirty) {
+                return;
+            }
+
             this.getWebsocket().send(JSON.stringify({
                 type: "world_state_manager",
                 action: "update_character_actor",
diff --git a/talemate_frontend/src/components/WorldStateManagerCharacterAttributes.vue b/talemate_frontend/src/components/WorldStateManagerCharacterAttributes.vue
index a93b93a5..5c4e2aa4 100644
--- a/talemate_frontend/src/components/WorldStateManagerCharacterAttributes.vue
+++ b/talemate_frontend/src/components/WorldStateManagerCharacterAttributes.vue
@@ -78,7 +78,8 @@
                     :hint="autocompleteInfoMessage(busy)"
                     @keyup.ctrl.enter.stop="sendAutocompleteRequest"
 
-                    @update:modelValue="queueUpdate(selected)"
+                    @update:modelValue="dirty = true"
+                    @blur="update(selected, true)"
 
                     v-model="character.base_attributes[selected]">
                 </v-textarea>
@@ -254,19 +255,12 @@ export default {
             }
         },
 
-        queueUpdate(name, delay = 1500) {
-            if (this.updateTimeout !== null) {
-                clearTimeout(this.updateTimeout);
+        update(name, only_if_dirty = false) {
+
+            if(only_if_dirty && !this.dirty) {
+                return;
             }
 
-            this.dirty = true;
-
-            this.updateTimeout = setTimeout(() => {
-                this.update(name);
-            }, delay);
-        },
-
-        update(name) {
             return this.getWebsocket().send(JSON.stringify({
                 type: 'world_state_manager',
                 action: 'update_character_attribute',
diff --git a/talemate_frontend/src/components/WorldStateManagerCharacterDescription.vue b/talemate_frontend/src/components/WorldStateManagerCharacterDescription.vue
index 6f9e19de..b389a560 100644
--- a/talemate_frontend/src/components/WorldStateManagerCharacterDescription.vue
+++ b/talemate_frontend/src/components/WorldStateManagerCharacterDescription.vue
@@ -18,7 +18,8 @@
         :loading="busy"
         @keyup.ctrl.enter.stop="sendAutocompleteRequest"
 
-        @update:model-value="queueUpdate()"
+        @update:model-value="dirty = true"
+        @blur="update(true)"
         label="Description"
         :hint="'A short description of the character. '+autocompleteInfoMessage(busy)">
     </v-textarea>
@@ -75,18 +76,12 @@ export default {
         }
     },
     methods: {
-        queueUpdate(delay = 1500) {
-            if (this.updateTimeout !== null) {
-                clearTimeout(this.updateTimeout);
+        update(only_if_dirty = false) {
+
+            if(only_if_dirty && !this.dirty) {
+                return;
             }
 
-            this.dirty = true;
-
-            this.updateTimeout = setTimeout(() => {
-                this.update();
-            }, delay);
-        },
-        update() {
             this.getWebsocket().send(JSON.stringify({
                 type: 'world_state_manager',
                 action: 'update_character_description',
diff --git a/talemate_frontend/src/components/WorldStateManagerCharacterDetails.vue b/talemate_frontend/src/components/WorldStateManagerCharacterDetails.vue
index 001d4e13..65e24284 100644
--- a/talemate_frontend/src/components/WorldStateManagerCharacterDetails.vue
+++ b/talemate_frontend/src/components/WorldStateManagerCharacterDetails.vue
@@ -77,7 +77,8 @@
 
                     @keyup.ctrl.enter.stop="sendAutocompleteRequest"
 
-                    @update:modelValue="queueUpdate(selected)"
+                    @update:modelValue="dirty = true"
+                    @blur="update(selected, true)"
 
                     v-model="character.details[selected]">
                 </v-textarea>
@@ -270,20 +271,12 @@ export default {
             }
         },
 
-        queueUpdate(name, delay = 1500) {
-            if (this.updateTimeout !== null) {
-                clearTimeout(this.updateTimeout);
+        update(name, only_if_dirty = false) {
+
+            if(only_if_dirty && !this.dirty) {
+                return;
             }
 
-            this.dirty = true;
-
-            this.updateTimeout = setTimeout(() => {
-                this.update(name);
-            }, delay);
-        },
-
-        update(name) {
-
             // if field is currently empty, don't send update, because that
             // will cause a deletion
             if (this.character.details[name] === "") {
diff --git a/talemate_frontend/src/components/WorldStateManagerCharacterReinforcements.vue b/talemate_frontend/src/components/WorldStateManagerCharacterReinforcements.vue
index 7d721267..004f7661 100644
--- a/talemate_frontend/src/components/WorldStateManagerCharacterReinforcements.vue
+++ b/talemate_frontend/src/components/WorldStateManagerCharacterReinforcements.vue
@@ -58,7 +58,8 @@
                     :label="selected"
                     :disabled="working"
                     v-model="character.reinforcements[selected].answer"
-                    @update:modelValue="queueUpdate(selected)"
+                    @update:modelValue="dirty = true"
+                    @blur="update(selected, false, true)"
                     :color="dirty ? 'dirty' : ''">
                 </v-textarea>
 
@@ -70,7 +71,8 @@
                             type="number" min="1" max="100" step="1"
                             :disabled="working"
                             class="mb-2"
-                            @update:modelValue="queueUpdate(selected)"
+                            @update:modelValue="dirty = true"
+                            @blur="update(selected, false, true)"
                             :color="dirty ? 'dirty' : ''"></v-text-field>
                     </v-col>
                     <v-col cols="6">
@@ -81,7 +83,8 @@
                             label="Context Attachment Method"
                             class="mr-1 mb-1" variant="underlined"
                             density="compact"
-                            @update:modelValue="queueUpdate(selected)"
+                            @update:modelValue="dirty = true"
+                            @blur="update(selected, false, true)"
                             :color="dirty ? 'dirty' : ''">
                         </v-select>
                     </v-col>
@@ -92,7 +95,8 @@
                 <v-textarea rows="3" auto-grow max-rows="5"
                     label="Additional instructions to the AI for generating this state."
                     v-model="character.reinforcements[selected].instructions"
-                    @update:modelValue="queueUpdate(selected)"
+                    @update:modelValue="dirty = true"
+                    @blur="update(selected, false, true)"
                     :disabled="working"
                     :color="dirty ? 'dirty' : ''"
                     ></v-textarea>
@@ -333,24 +337,16 @@ export default {
             this.character.reinforcements[name] = {...this.newReinforcment};
         },
 
-        queueUpdate(name, delay = 1500) {
-            if (this.updateTimeout !== null) {
-                clearTimeout(this.updateTimeout);
+        update(name, updateState, only_if_dirty = false) {
+
+            if(only_if_dirty && !this.dirty) {
+                return;
             }
 
-            this.dirty = true;
-
-            this.updateTimeout = setTimeout(() => {
-                this.update(name);
-            }, delay);
-        },
-
-        update(name, updateState) {
             let interval = this.character.reinforcements[name].interval;
             let instructions = this.character.reinforcements[name].instructions;
             let insert = this.character.reinforcements[name].insert;
-            if (updateState === true)
-                this.busy = true;
+            this.busy = true;
             this.getWebsocket().send(JSON.stringify({
                 type: 'world_state_manager',
                 action: 'set_character_detail_reinforcement',
diff --git a/talemate_frontend/src/components/WorldStateManagerHistory.vue b/talemate_frontend/src/components/WorldStateManagerHistory.vue
index c06c9a8e..da50f488 100644
--- a/talemate_frontend/src/components/WorldStateManagerHistory.vue
+++ b/talemate_frontend/src/components/WorldStateManagerHistory.vue
@@ -1,44 +1,70 @@
 <template>
-    <v-card>
-        <v-card-text>
-            
-            <v-alert color="muted" density="compact" variant="text" icon="mdi-timer-sand-complete">
-                Whenever the scene is summarized a new entry is added to the history.
-                This summarization happens either when a certain length threshold is met or when the scene time advances.
-            </v-alert>
 
-            <v-card-actions>
-                <v-spacer></v-spacer>
-                <ConfirmActionInline
-                    action-label="Regenerate History"
-                    confirm-label="Confirm"
-                    color="warning"
-                    icon="mdi-refresh"
-                    :disabled="busy"
-                    @confirm="regenerate"
-                />
-                <v-spacer></v-spacer>
-            </v-card-actions>
-            <p v-if="busy">
-                <v-progress-linear color="primary" height="2" indeterminate></v-progress-linear>
-            </p>
-            <v-divider v-else class="mt-2"></v-divider>
+    <v-tabs v-model="tab" density="compact" color="secondary">
+        <v-tab key="base">Base</v-tab>
+        <v-tab v-for="(layer, index) in layers" :key="index">{{ layer.title }}</v-tab>
+    </v-tabs>
 
-            <v-sheet class="ma-4 text-caption text-center">
-                <span class="text-muted">Total time passed:</span> {{ scene.data.scene_time }}
-            </v-sheet>
+    <v-tabs-window v-model="tab">
+        <v-tabs-window-item key="base">
+            <v-card>
+                <v-card-text>
+                    
+                    <v-alert color="muted" density="compact" variant="text" icon="mdi-timer-sand-complete">
+                        Whenever the scene is summarized a new entry is added to the history.
+                        This summarization happens either when a certain length threshold is met or when the scene time advances.
+                    </v-alert>
+        
+                    <v-card-actions>
+                        <v-spacer></v-spacer>
+                        <ConfirmActionInline
+                            action-label="Regenerate History"
+                            confirm-label="Confirm"
+                            color="warning"
+                            icon="mdi-refresh"
+                            :disabled="busy"
+                            @confirm="regenerate"
+                        />
+                        <v-spacer></v-spacer>
+                    </v-card-actions>
+                    <p v-if="busy">
+                        <v-progress-linear color="primary" height="2" indeterminate></v-progress-linear>
+                    </p>
+                    <v-divider v-else class="mt-2"></v-divider>
+        
+                    <v-sheet class="ma-4 text-caption text-center">
+                        <span class="text-muted">Total time passed:</span> {{ scene.data.scene_time }}
+                    </v-sheet>
+        
+                    <v-list slim density="compact">
+                        <v-list-item v-for="(entry, index) in history" :key="index" class="text-body-2" prepend-icon="mdi-clock">
+                            <v-list-item-subtitle>{{ entry.time }}</v-list-item-subtitle>
+                            <div class="history-entry text-muted">
+                                {{ entry.text }}
+                            </div>
+                        </v-list-item>
+                    </v-list>
+        
+                </v-card-text>
+            </v-card>
+        </v-tabs-window-item>
+        <v-tabs-window-item v-for="(layer, index) in layers" :key="index">
+            <v-card>
+                <v-card-text>
+                    <v-list slim density="compact">
+                        <v-list-item v-for="(entry, index) in layer.entries" :key="index" class="text-body-2" prepend-icon="mdi-clock">
+                            <v-list-item-subtitle>{{ timespan(entry) }}</v-list-item-subtitle>
+                            <div class="history-entry text-muted">
+                                {{ entry.text }}
+                            </div>
+                        </v-list-item>
+                    </v-list>
+                </v-card-text>
+            </v-card>
+        </v-tabs-window-item>
+    </v-tabs-window>
 
-            <v-list slim density="compact">
-                <v-list-item v-for="(entry, index) in history" :key="index" class="text-body-2" prepend-icon="mdi-clock">
-                    <v-list-item-subtitle>{{ entry.time }}</v-list-item-subtitle>
-                    <div class="history-entry text-muted">
-                        {{ entry.text }}
-                    </div>
-                </v-list-item>
-            </v-list>
 
-        </v-card-text>
-    </v-card>
 </template>
 
 <script>
@@ -57,7 +83,19 @@ export default {
     data() {
         return {
             history: [],
+            layered_history: [],
             busy: false,
+            tab: 'base',
+        }
+    },
+    computed: {
+        layers() {
+            return this.layered_history.map((layer, index) => {
+                return {
+                    title: `Layer ${index}`,
+                    entries: layer,
+                }
+            });
         }
     },
     inject:[
@@ -74,6 +112,7 @@ export default {
         },
         regenerate() {
             this.history = [];
+            this.layered_history = [];
             this.busy = true;
             this.getWebsocket().send(JSON.stringify({
                 type: "world_state_manager",
@@ -81,6 +120,13 @@ export default {
                 generation_options: this.generationOptions,
             }));
         },
+        timespan(entry) {
+            // if different display as range
+            if(entry.time_start != entry.time_end) {
+                return `${entry.time_start} to ${entry.time_end}`;
+            }
+            return `${entry.time_end}`;
+        },
         requestSceneHistory() {
             this.getWebsocket().send(JSON.stringify({
                 type: "world_state_manager",
@@ -93,9 +139,11 @@ export default {
             }
 
             if(message.action == 'scene_history') {
-                this.history = message.data;
+                this.history = message.data.history;
+                this.layered_history = message.data.layered_history;
                 // reverse
                 this.history = this.history.reverse();
+                this.layered_history = this.layered_history.map(layer => layer.reverse());
             } else if (message.action == 'history_entry_added') {
                 this.history = message.data;
                 // reverse
@@ -114,4 +162,9 @@ export default {
     }
 }
 
-</script>
\ No newline at end of file
+</script>
+<style scoped>
+.history-entry {
+    white-space: pre-wrap;
+}
+</style>
\ No newline at end of file
diff --git a/talemate_frontend/src/components/WorldStateManagerSceneOutline.vue b/talemate_frontend/src/components/WorldStateManagerSceneOutline.vue
index 1fc4276f..3361354c 100644
--- a/talemate_frontend/src/components/WorldStateManagerSceneOutline.vue
+++ b/talemate_frontend/src/components/WorldStateManagerSceneOutline.vue
@@ -9,14 +9,17 @@
                     :color="dirty['title'] ? 'dirty' : ''"
                     :disabled="busy['title']"
                     :loading="busy['title']"
-                    @update:model-value="queueUpdate('title')"
+                    @update:model-value="setFieldDirty('title')"
+                    @blur="update(true)"
                     :placeholder="scene.data.title"
                 ></v-text-field>
             </v-col>
             <v-col cols="12" md="8" lg="6" xl="6">
                 <v-combobox
                     v-model="scene.data.context"
-                    @update:model-value="queueUpdate('context')"
+                    @update:model-value="setFieldDirty('context')"
+                    @blur="update(true)"
+                    :color="dirty['context'] ? 'dirty' : ''"
                     :items="appConfig ? appConfig.creator.content_context: []"
                     messages="This can strongly influence the type of content that is generated, during narration, dialogue and world building."
                     label="Content context"
@@ -30,8 +33,9 @@
                     class="mt-1"
                     ref="description"
                     v-model="scene.data.description"
-                    @update:model-value="queueUpdate('description')"
-                    :color="dirty['description'] ? 'primary' : ''"
+                    @update:model-value="setFieldDirty('description')"
+                    @blur="update(true)"
+                    :color="dirty['description'] ? 'dirty' : ''"
                     :disabled="busy['description']"
                     :loading="busy['description']"
                     label="Description"
@@ -63,7 +67,8 @@
                     auto-grow
                     max-rows="32"
 
-                    @update:model-value="queueUpdate('intro')"
+                    @update:model-value="setFieldDirty('intro')"
+                    @blur="update(true)"
                     :color="dirty['intro'] ? 'dirty' : ''"
                     
                     :disabled="busy['intro']"
@@ -160,7 +165,16 @@ export default {
             }, delay);
         },
 
-        update() {
+        setFieldDirty(name) {
+            this.dirty[name] = true;
+        },
+
+        update(only_if_dirty = false) {
+
+            if(only_if_dirty && !Object.values(this.dirty).some(v => v)) {
+                return;
+            }
+
             return this.getWebsocket().send(JSON.stringify({
                 type: 'world_state_manager',
                 action: 'update_scene_outline',
diff --git a/talemate_frontend/src/components/WorldStateManagerWorldEntries.vue b/talemate_frontend/src/components/WorldStateManagerWorldEntries.vue
index f851a838..51d7bb4e 100644
--- a/talemate_frontend/src/components/WorldStateManagerWorldEntries.vue
+++ b/talemate_frontend/src/components/WorldStateManagerWorldEntries.vue
@@ -19,7 +19,8 @@
                 label="World information"
                 hint="Describe the world information here. This could be a description of a location, a historical event, or anything else that is relevant to the world." 
                 :color="dirty ? 'dirty' : ''"
-                @update:model-value="queueSave()"
+                @update:model-value="dirty = true"
+                @blur="save(true)"
                 auto-grow
                 max-rows="24"
                 rows="5">
@@ -31,7 +32,7 @@
                 'This entry will only be included when pinned and never be included via automatic relevancy matching.' :
                 'This entry may be included via automatic relevancy matching.'
             )"
-            @change="queueSave(500)"></v-checkbox>
+            @change="save()"></v-checkbox>
         </v-form>
 
         <v-card-actions v-if="isNewEntry">
@@ -143,7 +144,12 @@ export default {
             }, delay);
         },
 
-        save() {
+        save(only_if_dirty = false) {
+
+            if(only_if_dirty && !this.dirty) {
+                return;
+            }
+
             this.$refs.form.validate();
             if(!this.formValid) {
                 return;
diff --git a/talemate_frontend/src/components/WorldStateManagerWorldStates.vue b/talemate_frontend/src/components/WorldStateManagerWorldStates.vue
index 62a8dffc..74309371 100644
--- a/talemate_frontend/src/components/WorldStateManagerWorldStates.vue
+++ b/talemate_frontend/src/components/WorldStateManagerWorldStates.vue
@@ -22,7 +22,8 @@
                         :disabled="busy"
                         hint="You can leave this blank as it will be automatically generated. Or you can fill it in to start with a specific answer."
                         :color="dirty ? 'dirty' : ''"
-                        @update:model-value="queueSave()"
+                        @update:model-value="dirty = true"
+                        @blur="save(false, true)"
                         max-rows="15"
                         auto-grow
                         rows="5">
@@ -41,7 +42,8 @@
                     step="1" 
                     class="mb-2" 
                     :disabled="busy"
-                    @update:modelValue="queueSave()" 
+                    @update:model-value="dirty = true"
+                    @blur="save(false, true)"
                     :color="dirty ? 'dirty' : ''">
                     </v-text-field>
                 </v-col>
@@ -64,7 +66,8 @@
                         label="Additional instructions to the AI for generating this state."
                         :color="dirty ? 'dirty' : ''"
                         :disabled="busy"
-                        @update:model-value="queueSave()"
+                        @update:model-value="dirty = true"
+                        @blur="save(false, true)"
                         auto-grow
                         max-rows="5"
                         rows="3">
@@ -180,7 +183,12 @@ export default {
             }, delay);
         },
 
-        save(updateState) {
+        save(updateState, only_if_dirty = false) {
+
+            if(only_if_dirty && !this.dirty) {
+                return;
+            }
+
             this.busy = true;
             this.$refs.form.validate();
             if(!this.formValid) {
diff --git a/talemate_frontend/src/plugins/vuetify.js b/talemate_frontend/src/plugins/vuetify.js
index e7dd8f63..c4cba835 100644
--- a/talemate_frontend/src/plugins/vuetify.js
+++ b/talemate_frontend/src/plugins/vuetify.js
@@ -18,6 +18,7 @@ export default createVuetify({
           delete: colors.red.darken2,
           cancel: colors.blueGrey.lighten3,
           muted: colors.grey.darken1,
+          mutedheader: colors.grey.lighten1,
           mutedbg: colors.grey.darken4,
           normal: colors.grey.base,
           unsaved: colors.amber.lighten2,
@@ -31,7 +32,10 @@ export default createVuetify({
 
           // messages
           narrator: colors.deepPurple.lighten3,
-          character: colors.grey.darken1,
+          character: colors.shades.white,
+          director: colors.deepOrange.base,
+          time: colors.deepPurple.lighten3,
+          context_investigation: colors.blueGrey.base,
 
           // html colors
           cornflowerblue: "#6495ED",
diff --git a/tests/test_dialogue_cleanup.py b/tests/test_dialogue_cleanup.py
index e1e5b35d..85f27b5a 100644
--- a/tests/test_dialogue_cleanup.py
+++ b/tests/test_dialogue_cleanup.py
@@ -22,6 +22,7 @@ from talemate.util import ensure_dialog_format, clean_dialogue
     ('Some dialogue and two line-breaks right after, followed by narration.\n\n*Narration*', '"Some dialogue and two line-breaks right after, followed by narration."\n\n*Narration*'),
     ('*Some narration with a "quoted" string in it.* Then some unquoted dialogue.\n\n*More narration.*', '*Some narration with a* "quoted" *string in it.* "Then some unquoted dialogue."\n\n*More narration.*'),
     ('*Some narration* Some dialogue but not in quotes. *', '*Some narration* "Some dialogue but not in quotes."'),
+    ('*First line\nSecond line\nThird line*', '*First line\nSecond line\nThird line*'),
 ])
 def test_dialogue_cleanup(input, expected):
     assert ensure_dialog_format(input) == expected
diff --git a/tests/test_isodate.py b/tests/test_isodate.py
index 40c645a2..735603b8 100644
--- a/tests/test_isodate.py
+++ b/tests/test_isodate.py
@@ -34,9 +34,9 @@ def test_isodate_utils():
     parsed = parse_duration_to_isodate_duration("P11MT14M59S")
     assert iso8601_diff(date1, date2) == parsed, parsed
 
-    assert iso8601_duration_to_human(date1) == "11 Months and 15 Minutes ago", iso8601_duration_to_human(date1)
-    assert iso8601_duration_to_human(date2) == "1 Second ago",  iso8601_duration_to_human(date2)
-    assert iso8601_duration_to_human(iso8601_diff(date1, date2)) == "11 Months, 14 Minutes and 59 Seconds ago", iso8601_duration_to_human(iso8601_diff(date1, date2))
+    assert iso8601_duration_to_human(date1, flatten=False) == "11 Months and 15 Minutes ago", iso8601_duration_to_human(date1, flatten=False)
+    assert iso8601_duration_to_human(date2, flatten=False) == "1 Second ago",  iso8601_duration_to_human(date2, flatten=False)
+    assert iso8601_duration_to_human(iso8601_diff(date1, date2), flatten=False) == "11 Months, 14 Minutes and 59 Seconds ago", iso8601_duration_to_human(iso8601_diff(date1, date2), flatten=False)
     
 @pytest.mark.parametrize("dates, expected", [
     (["PT1S", "P3M", "P6M", "P8M"], "P17MT1S"),
@@ -52,8 +52,65 @@ def test_adding_isodates(dates: list[str], expected: str):
     
     
 @pytest.mark.parametrize("a, b, expected", [
+    # Basic year/month cases
     ("P1Y", "P11M", "1 Month and 5 Days ago"),
     ("P12M", "P11M", "1 Month ago"),
+    ("P2Y", "P1Y", "1 Year ago"),
+    ("P25M", "P1Y", "1 Year, 2 Weeks and 6 Days ago"),
+    
+    # Mixed time components
+    ("P34DT2H30M", "PT0S", "1 Month, 4 Days, 2 Hours and 30 Minutes ago"),
+    ("P1YT24H", "P1Y", "1 Day ago"),
+    ("P1MT60S", "P1M", "1 Minute ago"),
+    ("P400D", "P1Y", "1 Month and 5 Days ago"),
+    
+    # Edge cases
+    ("PT1S", "PT0S", "1 Second ago"),
+    ("PT1M", "PT0S", "1 Minute ago"),
+    ("PT1H", "PT0S", "1 Hour ago"),
+    ("P1D", "PT0S", "1 Day ago"),
+    ("P1W", "PT0S", "1 Week ago"),
+    ("P1M", "PT0S", "1 Month ago"),
+    ("P1Y", "PT0S", "1 Year ago"),
+    
+    # Complex mixed durations
+    ("P1Y2M3DT4H5M6S", "PT0S", "1 Year, 2 Months, 3 Days, 4 Hours, 5 Minutes and 6 Seconds ago"),
+    ("P1Y1M1DT1H1M1S", "P1Y", "1 Month, 1 Day, 1 Hour, 1 Minute and 1 Second ago"),
+    ("P2Y15M", "P1Y", "2 Years, 2 Months, 3 Weeks and 4 Days ago"),
+    
+    # Time-only durations
+    ("PT24H", "PT0S", "1 Day ago"),
+    ("PT25H", "PT1H", "1 Day ago"),
+    ("PT90M", "PT30M", "1 Hour ago"),
+    ("PT3600S", "PT0S", "1 Hour ago"),
+    
+    # Inverse order (should give same absolute difference)
+    ("P1M", "P2M", "1 Month ago"),
+    ("PT0S", "P1Y", "1 Year ago"),
+    
+    # Zero difference
+    ("P1Y", "P1Y", "Recently"),
+    ("P1M", "P1M", "Recently"),
+    ("PT0S", "PT0S", "Recently"),
 ])
-def test_iso8601_diff_to_human(a, b, expected):
-    assert iso8601_diff_to_human(a, b) == expected, iso8601_diff_to_human(a, b)
\ No newline at end of file
+def test_iso8601_diff_to_human_unflattened(a, b, expected):
+    assert iso8601_diff_to_human(a, b, flatten=False) == expected, iso8601_diff_to_human(a, b, flatten=False)
+    
+@pytest.mark.parametrize("a, b, expected", [
+    # Basic duration flattening tests
+    ("P1Y2M3DT4H5M6S", "PT0S", "1 Year and 2 Months ago"), 
+    ("P2Y7M", "PT0S", "2 Years and 7 Months ago"), 
+    ("P18M", "PT0S", "1 Year and 6 Months ago"),
+    ("P6M15D", "PT0S", "6 Months ago"), 
+    ("P45D", "PT0S", "1 Month and 15 Days ago"),
+    ("P25D", "PT0S", "25 Days ago"),
+    ("P2DT12H", "PT0S", "2 Days and 12 Hours ago"),
+    ("PT20H", "PT0S", "20 Hours ago"),
+    ("P1DT30M", "PT0S", "1 Day and 1 Hour ago"),
+    ("P2DT45M", "PT0S", "2 Days and 1 Hour ago"),
+    ("P15DT8H", "PT0S", "15 Days ago"),
+    ("P35DT12H30M", "PT0S", "1 Month and 5 Days ago"),
+])
+def test_iso8601_diff_to_human_flattened(a, b, expected):
+    assert iso8601_duration_to_human(iso8601_diff(a, b), flatten=True) == expected, \
+           f"Failed for {a} vs {b}: Got {iso8601_duration_to_human(iso8601_diff(a, b), flatten=True)}"
\ No newline at end of file
diff --git a/tests/test_system_messages.py b/tests/test_system_messages.py
index 6abff97f..72088bd6 100644
--- a/tests/test_system_messages.py
+++ b/tests/test_system_messages.py
@@ -5,7 +5,6 @@ from talemate.client.base import ClientBase
     "kind",
     [
         "narrate",
-        "story",
         "director",
         "create",
         "roleplay",
diff --git a/update.sh b/update.sh
new file mode 100644
index 00000000..4142e296
--- /dev/null
+++ b/update.sh
@@ -0,0 +1,43 @@
+#!/bin/sh
+
+echo "Checking git repository..."
+# Initialize git if needed
+if [ ! -d ".git" ]; then
+    git init
+    git remote add origin https://github.com/vegu-ai/talemate
+fi
+
+# Pull latest changes
+git pull
+
+# Activate virtual environment
+. talemate_env/bin/activate
+
+# Install dependencies with poetry
+echo "Updating virtual environment..."
+python3 -m poetry install
+
+# Check for CUDA
+if command -v nvcc >/dev/null 2>&1; then
+    echo "CUDA found. Installing PyTorch with CUDA support..."
+    python3 -m pip uninstall torch torchaudio -y
+    python3 -m pip install torch~=2.4.1 torchaudio~=2.4.1 --index-url https://download.pytorch.org/whl/cu121
+else
+    echo "CUDA not found. Keeping PyTorch installation without CUDA support..."
+fi
+
+echo "Virtual environment updated!"
+
+# Update npm packages
+echo "Updating npm packages..."
+cd talemate_frontend
+npm install
+
+echo "NPM packages updated"
+
+# Build frontend
+echo "Building frontend..."
+npm run build
+
+cd ..
+echo "Update complete"
\ No newline at end of file