Standardize multi-action tools around tool_args.action while keeping parser compatibility for older tool/args, tool_name:action, and method-shaped requests. This keeps new prompts clean without breaking agents that learned the previous dialect.
Move A0 connector remote execution/file tools into stable standard prompts, make remote targeting independent of the active chat context, and skill-gate beta computer-use remote so it no longer weighs down the always-on tool list.
Align text editor, scheduler, skills, office artifact, memory, notify, and browser prompts/tools around the canonical action contract. Add scheduler update/timezone handling, skills_tool read_file, text editor patch coverage, and fixes for memory_forget, behaviour_adjustment, and code execution progress warnings.
Reduce default prompt pressure by compacting browser and scheduler prompts into skill-backed manifests, shortening skill catalog descriptions, and pruning noisy framework knowledge. Remove obsolete connector prompt stubs and root tool-call knowledge examples.
Tests: conda run -n a0 pytest tests/test_a0_connector_prompt_gating.py tests/test_tool_action_contracts.py tests/test_task_scheduler_timezone.py tests/test_text_editor_context_patch.py tests/test_tool_request_normalization.py tests/test_office_document_store.py::test_odf_is_advertised_and_docx_remains_explicit_compatibility tests/test_office_document_store.py::test_document_artifact_accepts_method_alias_for_ods_create tests/test_skills_runtime.py tests/test_default_prompt_budget.py::test_a0_small_profile_removed_and_prompt_text_generic -q
Remove dynamically loaded skills when they are deactivated from the Skills selector. Treat skill names and paths as aliases so scoped defaults, chat overrides, and loaded-skill state resolve consistently.
Keep image payloads out of persistent agent history by storing vision and
computer-use captures as file path references instead of inline base64 data.
- update vision_load to attach image paths without compression or JPEG conversion
- update computer_use_remote to attach shared capture artifact paths directly
- serialize local image refs into provider-valid data URLs only at request prep
- reject base64/data URL attachments on the connector WebSocket path
- advertise path_or_url as the connector attachment mode
Unify skill handling layer and raise the active skills cap to 20.
The Skills UI now presents a simpler checklist-style flow for selecting active
skills, with live chat activation and saved defaults using the same visible list.
Skill contents can be opened in a read-only Ace viewer via the existing markdown
modal.
Add a builtin `a0-setup-cli` skill for guiding host-side A0 connector setup,
and restore the lightweight trigger-word based skill matching flow, which many users asked for.
- add builtin `skills/a0-setup-cli/` with installer-first host setup guidance,
container guardrails, fallback install paths, and example responses
- fix `helpers.skills_cli` so builtin skills under `/skills` are discoverable,
searchable, and validatable
- restore trigger-pattern scoring in runtime `search_skills()`
- re-enable `skills_tool:search` in the current tool flow
- add lightweight lexical relevant-skill recall for the current user message
without reintroducing memory/vector-db skill recall
- update skill prompts to steer the agent toward search/load when requests
match skill trigger phrases
Ensure printed output and HTML logs are safe by importing and applying sanitize_string, opening log files with utf-8 and errors='replace', and sanitizing text before writing. Add tests to verify lone surrogate characters are replaced and that logging won't crash on invalid Unicode. In the plugin installer UI, introduce POPULAR_PLUGIN_MIN_STARS and centralize popularity checking in _isPopularPlugin, using it for filtering and counts.
- Move load_classes_from_file and load_classes_from_folder from extract_tools to new modules helper
- Update all imports across api, extension, files, and plugins to use helpers.modules
- Add namespace purging to refresh_plugin_modules for selective plugin reload on Python changes
- Implement embed trimming in history based on model config max_embeds and vision support
- Add pre_update hook documentation to plugin
Move the Browser Agent/browser-use stack into a tracked built-in
`_browser_agent` plugin while preserving the current model/config flow.
Changes:
- add built-in `_browser_agent` plugin with tool, helpers, prompts, assets,
status API, and WebUI message/status surfaces
- move browser-use wrapper and monkeypatch ownership out of `models.py`
into plugin helper code
- keep browser model resolution on the `_model_config` path and continue
using the effective Main Model / chat model config
- remove stale Browser HTTP Headers UI and outdated browser-model wording
- make Playwright runtime resolution bootstrap-only and stop installing
browser binaries on demand
- switch browser log rendering to plugin-owned WebUI extension handling
with core fallback compatibility for old logs
- delete obsolete core browser tool/helpers/prompts/assets after plugin
resolution is in place
- update docs to reflect built-in plugin ownership and Main Model browser
behavior
feat(browser-agent): improve lifecycle reliability, LLM compatibility, and local-dev bootstrap
- **Lifecycle Reliability**: Implemented stale Chromium lock file cleanup and one-shot ephemeral profile fallback to prevent CDP connection hangs and profile-locked crashes.
- **LLM Compatibility**: Added OpenRouter/Gemini shims including schema compaction, system instruction injection, and JSON output normalization for `browser-use` validation.
- **Cache Alignment**: Reverted Playwright browser cache to `tmp/playwright` for parity with core behavior and updated Docker scripts and documentation accordingly.
- **Local-Dev Bootstrap**: Added a plugin `install()` hook to automate Python dependency setup and transitioned bootstrap feedback to UI notifications.
- **Plugin Config**: Set `always_enabled: false` to allow users to opt-out or bring their own browser providers.
- **Testing**: Expanded test suite to cover lifecycle edge cases, LLM normalization, and bootstrap logic.
rework clean up browser agent sessions on reset/removal
Force browser-agent teardown to use BrowserSession.kill() so keep_alive sessions do not leave Chromium running and keep the profile locked. Add centralized browser state cleanup for reset/context removal and regression tests to cover the new teardown path and prevent SingletonLock fallbacks from stale sessions.
add browser agent thumbnail
restore local dev for Playwright in browser agent via hook
- Introduced a new hook to bootstrap Playwright for local development, ensuring the Chromium headless shell is installed when in development mode.
- Updated the Playwright helper to call the new hook if the binary is not found during the binary check.
- Added tests to verify the correct installation and behavior of the Playwright binary in local development scenarios.
proper install notifications for Playwright in local dev
- Added notification management for Playwright bootstrap process, including info, success, and error notifications.
- Enhanced the `bootstrap_local_dev_playwright` function to notify users about the installation status of the Playwright runtime.
- Updated tests to verify the correct notifications are sent during the Playwright installation process.
rework browser state cleanup extensions for agent context removal and reset
- Added `CleanupBrowserStateOnRemove` and `CleanupBrowserStateOnReset` extensions to handle browser state cleanup when an agent context is removed or reset.
- Updated `cleanup_browser_agent_state` function to utilize new protocols for better type safety and clarity.
- Enhanced the `State` class to ensure proper cleanup of browser sessions and user data directories.
- Introduced tests to validate the cleanup functionality and ensure browser sessions are correctly managed during agent lifecycle events.
enhance Playwright cache handling
- Updated Playwright helper to include support for a new cache directory at `.cache/ms-playwright`, aligning with standard cache locations.
- Modified the `get_playwright_search_dirs` function to incorporate the new cache path.
- Added a new test to verify the retrieval of the Playwright binary from the repository's `.cache/ms-playwright` directory, ensuring proper functionality across different cache locations.
- Updated existing tests to reflect changes in cache path handling.
update docs and README.md
restore local dev bootstrap and async-safe teardown
Keep Browser Agent bootstrap local in development, matching pre-extraction behavior, by removing the RFC filesystem hop from Playwright cache setup. Restore on-demand local-dev bootstrap through plugin hooks before browser-use import, so missing browser packages and runtime can be installed on first use.
Rework browser session teardown to be async-safe during reset and cleanup, avoiding nested event loop shutdown failures while still terminating the browser worker cleanly. Also remove redundant browser-use patch application and add regression tests covering local bootstrap, reset-time async shutdown, and lifecycle cleanup.
playwright bootstrap via plugin hooks
[Fixed][P1] The hook-based restore was architecturally in the right place, but it was too late to recover a missing local browser_use / playwright install. The browser tool imports browser_use at module load time, and tool loading silently skips modules that fail to import, so the plugin install() hook could never rescue the first browser invocation if those packages were absent. I fixed that by calling the plugin install hook before importing browser_use in local development: browser_use.py, browser_use.py, agent.py, test_browser_agent_playwright_bootstrap.py.
[Fixed][P3] The Browser Agent UI and runtime error text still claimed on-demand install did not exist, which contradicted the intended local-dev bootstrap path. I corrected both messages so they now describe the real behavior: main.html, playwright.py.
rm tests
restore old browser use logic files
restore old browser working behaviour
browser: migrate cleanup hooks to new extensible paths
Update Browser Agent cleanup extensions to the new deep @extensible path layout introduced in 7e1d9ad2a4, so AgentContext reset/remove hooks fire again after the framework migration.
`This restores browser state cleanup when chats are reset or deleted, preventing keep-alive browser sessions from surviving context removal and leaving chats stuck until restart. The change also keeps the recent browser regressions covered with focused tests for Anthropic/OpenRouter action normalization, keep-alive session teardown via kill(), and extension discovery under the new _functions/... path structure.`
Update messages.js
update docs
- Reset retry counter to 0 when exception is None or already handled (HandledException, RepairableException)
- Add text message to vision_load tool results to prevent model provider errors with image-only messages
- Remove browser_http_headers from model config (config, migration, UI, helpers)
- Add safe_call function to extract_tools.py to safely invoke functions with filtered args/kwargs
- Update call_plugin_hook to use safe_call for better parameter handling
- Add _apply_defaults_from_env to apply environment variable defaults to plugin configs
- Delete additional plugin asset folders when deleting plugins
- Remove
- split monolithic _10_system_prompt.py into focused extensions: main (10), tools (11), mcp (12), skills (13), secrets (13), project (14)
- each extension exposes a build_prompt() function with call_extensions_async hook for plugin extensibility
- move tool prompt collection from VariablesPlugin to _11_tools_prompt using subagents.get_paths for proper directory coverage
- add {{include original}} directive to process_includes allowing prompt inheritance without copy-paste
- add agent.system.main.specifics.md for subagent-specific additions without overriding entire role
- remove redundant plugin prompt extensions (_15_text_editor, _20_code_execution) that duplicated tool collection
- add _09_text_editor_config to register per-file kwargs via agent.data instead of VariablesPlugin in prompts dir
