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chore updated docs
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3 changed files with 22 additions and 77 deletions
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@ -45,11 +45,3 @@ LANGSMITH_API_KEY=lsv2_pt_.....
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LANGSMITH_PROJECT=surfsense
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# FAST_LLM=openai/gpt-4o-mini
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# STRATEGIC_LLM=openai/gpt-4o
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# LONG_CONTEXT_LLM=gemini/gemini-2.0-flash
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# FAST_LLM=ollama/gemma3:12b
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# STRATEGIC_LLM=ollama/deepseek-r1:8b
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# LONG_CONTEXT_LLM=ollama/deepseek-r1:8b
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@ -83,37 +83,25 @@ Before you begin, ensure you have:
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| -------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| DATABASE_URL | PostgreSQL connection string (e.g., `postgresql+asyncpg://postgres:postgres@localhost:5432/surfsense`) |
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| SECRET_KEY | JWT Secret key for authentication (should be a secure random string) |
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| AUTH_TYPE | Authentication method: `GOOGLE` for OAuth with Google, `LOCAL` for email/password authentication |
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| NEXT_FRONTEND_URL | URL where your frontend application is hosted (e.g., `http://localhost:3000`) |
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| EMBEDDING_MODEL | Name of the embedding model (e.g., `openai://text-embedding-ada-002`, `anthropic://claude-v1`, `mixedbread-ai/mxbai-embed-large-v1`) |
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| AUTH_TYPE | Authentication method: `GOOGLE` for OAuth with Google, `LOCAL` for email/password authentication |
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| GOOGLE_OAUTH_CLIENT_ID | (Optional) Client ID from Google Cloud Console (required if AUTH_TYPE=GOOGLE) |
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| GOOGLE_OAUTH_CLIENT_SECRET | (Optional) Client secret from Google Cloud Console (required if AUTH_TYPE=GOOGLE) |
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| EMBEDDING_MODEL | Name of the embedding model (e.g., `mixedbread-ai/mxbai-embed-large-v1`) |
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| RERANKERS_MODEL_NAME | Name of the reranker model (e.g., `ms-marco-MiniLM-L-12-v2`) |
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| RERANKERS_MODEL_TYPE | Type of reranker model (e.g., `flashrank`) |
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| FAST_LLM | LiteLLM routed smaller, faster LLM (e.g., `openai/gpt-4o-mini`, `ollama/deepseek-r1:8b`) |
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| STRATEGIC_LLM | LiteLLM routed advanced LLM for complex tasks (e.g., `openai/gpt-4o`, `ollama/gemma3:12b`) |
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| LONG_CONTEXT_LLM | LiteLLM routed LLM for longer context windows (e.g., `gemini/gemini-2.0-flash`, `ollama/deepseek-r1:8b`) |
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| TTS_SERVICE | Text-to-Speech API provider for Podcasts (e.g., `openai/tts-1`). See [supported providers](https://docs.litellm.ai/docs/text_to_speech#supported-providers) |
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| TTS_SERVICE_API_KEY | API key for the Text-to-Speech service |
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| TTS_SERVICE_API_BASE | (Optional) Custom API base URL for the Text-to-Speech service |
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| STT_SERVICE | Speech-to-Text API provider for Podcasts (e.g., `openai/whisper-1`). See [supported providers](https://docs.litellm.ai/docs/audio_transcription#supported-providers) |
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| STT_SERVICE_API_KEY | API key for the Speech-to-Text service |
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| STT_SERVICE_API_BASE | (Optional) Custom API base URL for the Speech-to-Text service |
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| FIRECRAWL_API_KEY | API key for Firecrawl service for web crawling |
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| ETL_SERVICE | Document parsing service: `UNSTRUCTURED` (supports 34+ formats) or `LLAMACLOUD` (supports 50+ formats including legacy document types) |
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| UNSTRUCTURED_API_KEY | API key for Unstructured.io service for document parsing (required if ETL_SERVICE=UNSTRUCTURED) |
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| LLAMA_CLOUD_API_KEY | API key for LlamaCloud service for document parsing (required if ETL_SERVICE=LLAMACLOUD) |
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| FIRECRAWL_API_KEY | API key for Firecrawl service for web crawling |
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| TTS_SERVICE | Text-to-Speech API provider for Podcasts (e.g., `openai/tts-1`, `azure/neural`, `vertex_ai/`). See [supported providers](https://docs.litellm.ai/docs/text_to_speech#supported-providers) |
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| STT_SERVICE | Speech-to-Text API provider for Podcasts (e.g., `openai/whisper-1`). See [supported providers](https://docs.litellm.ai/docs/audio_transcription#supported-providers) |
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Include API keys for your chosen LLM providers:
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| ENV VARIABLE | DESCRIPTION |
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|--------------------|-----------------------------------------------------------------------------|
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| `OPENAI_API_KEY` | Required if using OpenAI models |
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| `GEMINI_API_KEY` | Required if using Google Gemini models |
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| `ANTHROPIC_API_KEY`| Required if using Anthropic models |
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### Google OAuth Configuration (if AUTH_TYPE=GOOGLE)
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| ENV VARIABLE | DESCRIPTION |
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|----------------------------|-----------------------------------------------------------------------------|
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| `GOOGLE_OAUTH_CLIENT_ID` | Client ID from Google Cloud Console |
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| `GOOGLE_OAUTH_CLIENT_SECRET` | Client secret from Google Cloud Console |
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**Optional Backend LangSmith Observability:**
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| ENV VARIABLE | DESCRIPTION |
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|--------------|-------------|
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@ -122,17 +110,6 @@ Include API keys for your chosen LLM providers:
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| LANGSMITH_API_KEY | Your LangSmith API key |
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| LANGSMITH_PROJECT | LangSmith project name (e.g., `surfsense`) |
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**Optional Backend LiteLLM API Base URLs:**
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| ENV VARIABLE | DESCRIPTION |
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|--------------|-------------|
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| FAST_LLM_API_BASE | Custom API base URL for the fast LLM |
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| STRATEGIC_LLM_API_BASE | Custom API base URL for the strategic LLM |
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| LONG_CONTEXT_LLM_API_BASE | Custom API base URL for the long context LLM |
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| TTS_SERVICE_API_BASE | Custom API base URL for the Text-to-Speech (TTS) service |
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| STT_SERVICE_API_BASE | Custom API base URL for the Speech-to-Text (STT) service |
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For other LLM providers, refer to the [LiteLLM documentation](https://docs.litellm.ai/docs/providers).
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### Frontend Environment Variables
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| ENV VARIABLE | DESCRIPTION |
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@ -53,38 +53,23 @@ Edit the `.env` file and set the following variables:
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| -------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| DATABASE_URL | PostgreSQL connection string (e.g., `postgresql+asyncpg://postgres:postgres@localhost:5432/surfsense`) |
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| SECRET_KEY | JWT Secret key for authentication (should be a secure random string) |
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| AUTH_TYPE | Authentication method: `GOOGLE` for OAuth with Google, `LOCAL` for email/password authentication |
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| NEXT_FRONTEND_URL | URL where your frontend application is hosted (e.g., `http://localhost:3000`) |
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| EMBEDDING_MODEL | Name of the embedding model (e.g., `openai://text-embedding-ada-002`, `anthropic://claude-v1`, `mixedbread-ai/mxbai-embed-large-v1`) |
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| AUTH_TYPE | Authentication method: `GOOGLE` for OAuth with Google, `LOCAL` for email/password authentication |
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| GOOGLE_OAUTH_CLIENT_ID | (Optional) Client ID from Google Cloud Console (required if AUTH_TYPE=GOOGLE) |
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| GOOGLE_OAUTH_CLIENT_SECRET | (Optional) Client secret from Google Cloud Console (required if AUTH_TYPE=GOOGLE) |
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| EMBEDDING_MODEL | Name of the embedding model (e.g., `mixedbread-ai/mxbai-embed-large-v1`) |
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| RERANKERS_MODEL_NAME | Name of the reranker model (e.g., `ms-marco-MiniLM-L-12-v2`) |
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| RERANKERS_MODEL_TYPE | Type of reranker model (e.g., `flashrank`) |
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| FAST_LLM | LiteLLM routed smaller, faster LLM (e.g., `openai/gpt-4o-mini`, `ollama/deepseek-r1:8b`) |
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| STRATEGIC_LLM | LiteLLM routed advanced LLM for complex tasks (e.g., `openai/gpt-4o`, `ollama/gemma3:12b`) |
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| LONG_CONTEXT_LLM | LiteLLM routed LLM for longer context windows (e.g., `gemini/gemini-2.0-flash`, `ollama/deepseek-r1:8b`) |
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| TTS_SERVICE | Text-to-Speech API provider for Podcasts (e.g., `openai/tts-1`). See [supported providers](https://docs.litellm.ai/docs/text_to_speech#supported-providers) |
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| TTS_SERVICE_API_KEY | API key for the Text-to-Speech service |
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| TTS_SERVICE_API_BASE | (Optional) Custom API base URL for the Text-to-Speech service |
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| STT_SERVICE | Speech-to-Text API provider for Podcasts (e.g., `openai/whisper-1`). See [supported providers](https://docs.litellm.ai/docs/audio_transcription#supported-providers) |
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| STT_SERVICE_API_KEY | API key for the Speech-to-Text service |
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| STT_SERVICE_API_BASE | (Optional) Custom API base URL for the Speech-to-Text service |
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| FIRECRAWL_API_KEY | API key for Firecrawl service for web crawling |
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| ETL_SERVICE | Document parsing service: `UNSTRUCTURED` (supports 34+ formats) or `LLAMACLOUD` (supports 50+ formats including legacy document types) |
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| UNSTRUCTURED_API_KEY | API key for Unstructured.io service for document parsing (required if ETL_SERVICE=UNSTRUCTURED) |
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| LLAMA_CLOUD_API_KEY | API key for LlamaCloud service for document parsing (required if ETL_SERVICE=LLAMACLOUD) |
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| FIRECRAWL_API_KEY | API key for Firecrawl service for web crawling |
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| TTS_SERVICE | Text-to-Speech API provider for Podcasts (e.g., `openai/tts-1`, `azure/neural`, `vertex_ai/`). See [supported providers](https://docs.litellm.ai/docs/text_to_speech#supported-providers) |
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| STT_SERVICE | Speech-to-Text API provider for Podcasts (e.g., `openai/whisper-1`). See [supported providers](https://docs.litellm.ai/docs/audio_transcription#supported-providers) |
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Include API keys for your chosen LLM providers:
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| ENV VARIABLE | DESCRIPTION |
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|--------------------|-----------------------------------------------------------------------------|
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| `OPENAI_API_KEY` | Required if using OpenAI models |
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| `GEMINI_API_KEY` | Required if using Google Gemini models |
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| `ANTHROPIC_API_KEY`| Required if using Anthropic models |
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For other providers, refer to the [LiteLLM documentation](https://docs.litellm.ai/docs/providers)
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### Google OAuth Configuration (if AUTH_TYPE=GOOGLE)
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| ENV VARIABLE | DESCRIPTION |
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|----------------------------|-----------------------------------------------------------------------------|
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| `GOOGLE_OAUTH_CLIENT_ID` | Client ID from Google Cloud Console |
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| `GOOGLE_OAUTH_CLIENT_SECRET` | Client secret from Google Cloud Console |
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**Optional Backend LangSmith Observability:**
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@ -95,15 +80,6 @@ For other providers, refer to the [LiteLLM documentation](https://docs.litellm.a
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| LANGSMITH_API_KEY | Your LangSmith API key |
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| LANGSMITH_PROJECT | LangSmith project name (e.g., `surfsense`) |
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**Optional Backend LiteLLM API Base URLs:**
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| ENV VARIABLE | DESCRIPTION |
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|--------------|-------------|
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| FAST_LLM_API_BASE | Custom API base URL for the fast LLM |
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| STRATEGIC_LLM_API_BASE | Custom API base URL for the strategic LLM |
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| LONG_CONTEXT_LLM_API_BASE | Custom API base URL for the long context LLM |
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| TTS_SERVICE_API_BASE | Custom API base URL for the Text-to-Speech (TTS) service |
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| STT_SERVICE_API_BASE | Custom API base URL for the Speech-to-Text (STT) service |
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### 2. Install Dependencies
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Install the backend dependencies using `uv`:
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