mess: UV + settings KISS + fixes
This commit is contained in:
+93
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MAX_HISTORY_MESSAGES=10
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MAX_TOOL_ITERATIONS=10
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REQUEST_TIMEOUT=30
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# LLM Settings
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LLM_TEMPERATURE=0.2
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# Persistence
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DATA_STORAGE_DIR=data
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# Network configuration
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HOST=0.0.0.0
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PORT=3080
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# Build informations (Synced with pyproject.toml via bootstrap)
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ALFRED_VERSION=
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IMAGE_NAME=
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LIBRECHAT_VERSION=
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PYTHON_VERSION=
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PYTHON_VERSION_SHORT=
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RAG_VERSION=
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RUNNER=
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SERVICE_NAME=
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# --- SECURITY KEYS (CRITICAL) ---
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# These are used for session tokens and encrypting sensitive data in MongoDB.
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# If you lose these, you lose access to encrypted stored credentials.
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JWT_SECRET=
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JWT_REFRESH_SECRET=
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CREDS_KEY=
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CREDS_IV=
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# --- DATABASES (AUTO-SECURED) ---
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# Alfred uses MongoDB for application state and PostgreSQL for Vector RAG.
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# Passwords will be generated as 24-character secure tokens if left blank.
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# MongoDB (Application Data)
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MONGO_URI=
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MONGO_HOST=mongodb
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MONGO_PORT=27017
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MONGO_USER=alfred
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MONGO_PASSWORD=
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MONGO_DB_NAME=LibreChat
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# PostgreSQL (Vector Database / RAG)
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POSTGRES_URI=
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POSTGRES_HOST=vectordb
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POSTGRES_PORT=5432
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POSTGRES_USER=alfred
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POSTGRES_PASSWORD=
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POSTGRES_DB_NAME=alfred
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# --- EXTERNAL SERVICES ---
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# Media Metadata (Required)
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# Get your key at https://www.themoviedb.org/
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TMDB_API_KEY=
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TMDB_BASE_URL=https://api.themoviedb.org/3
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# qBittorrent integration
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QBITTORRENT_URL=http://qbittorrent:16140
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QBITTORRENT_USERNAME=admin
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QBITTORRENT_PASSWORD=
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QBITTORRENT_PORT=16140
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# Meilisearch
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MEILI_ENABLED=FALSE
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MEILI_NO_ANALYTICS=TRUE
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MEILI_HOST=http://meilisearch:7700
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MEILI_MASTER_KEY=
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# --- LLM CONFIGURATION ---
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# Providers: 'local', 'openai', 'anthropic', 'deepseek', 'google', 'kimi'
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DEFAULT_LLM_PROVIDER=local
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# Local LLM (Ollama)
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OLLAMA_BASE_URL=http://ollama:11434
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OLLAMA_MODEL=llama3.3:latest
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# --- API KEYS (OPTIONAL) ---
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# Fill only the ones you intend to use.
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ANTHROPIC_API_KEY=
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DEEPSEEK_API_KEY=
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GOOGLE_API_KEY=
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KIMI_API_KEY=
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OPENAI_API_KEY=
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# --- RAG ENGINE ---
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# Enable/Disable the Retrieval Augmented Generation system
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RAG_ENABLED=TRUE
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RAG_API_URL=http://rag_api:8000
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RAG_API_PORT=8000
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EMBEDDINGS_PROVIDER=ollama
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EMBEDDINGS_MODEL=nomic-embed-text
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+878
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#=====================================================================#
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# LibreChat Configuration #
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#=====================================================================#
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# Please refer to the reference documentation for assistance #
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# with configuring your LibreChat environment. #
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# #
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# https://www.librechat.ai/docs/configuration/dotenv #
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#=====================================================================#
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#==================================================#
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# Server Configuration #
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#==================================================#
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HOST=localhost
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PORT=3080
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MONGO_URI=mongodb://127.0.0.1:27017/LibreChat
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#The maximum number of connections in the connection pool. */
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MONGO_MAX_POOL_SIZE=
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#The minimum number of connections in the connection pool. */
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MONGO_MIN_POOL_SIZE=
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#The maximum number of connections that may be in the process of being established concurrently by the connection pool. */
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MONGO_MAX_CONNECTING=
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#The maximum number of milliseconds that a connection can remain idle in the pool before being removed and closed. */
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MONGO_MAX_IDLE_TIME_MS=
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#The maximum time in milliseconds that a thread can wait for a connection to become available. */
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MONGO_WAIT_QUEUE_TIMEOUT_MS=
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# Set to false to disable automatic index creation for all models associated with this connection. */
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MONGO_AUTO_INDEX=
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# Set to `false` to disable Mongoose automatically calling `createCollection()` on every model created on this connection. */
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MONGO_AUTO_CREATE=
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DOMAIN_CLIENT=http://localhost:3080
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DOMAIN_SERVER=http://localhost:3080
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NO_INDEX=true
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# Use the address that is at most n number of hops away from the Express application.
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# req.socket.remoteAddress is the first hop, and the rest are looked for in the X-Forwarded-For header from right to left.
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# A value of 0 means that the first untrusted address would be req.socket.remoteAddress, i.e. there is no reverse proxy.
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# Defaulted to 1.
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TRUST_PROXY=1
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# Minimum password length for user authentication
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# Default: 8
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# Note: When using LDAP authentication, you may want to set this to 1
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# to bypass local password validation, as LDAP servers handle their own
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# password policies.
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# MIN_PASSWORD_LENGTH=8
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# When enabled, the app will continue running after encountering uncaught exceptions
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# instead of exiting the process. Not recommended for production unless necessary.
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# CONTINUE_ON_UNCAUGHT_EXCEPTION=false
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#===============#
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# JSON Logging #
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#===============#
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# Use when process console logs in cloud deployment like GCP/AWS
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CONSOLE_JSON=false
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#===============#
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# Debug Logging #
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#===============#
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DEBUG_LOGGING=true
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DEBUG_CONSOLE=false
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# Set to true to enable agent debug logging
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AGENT_DEBUG_LOGGING=false
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# Enable memory diagnostics (logs heap/RSS snapshots every 60s, auto-enabled with --inspect)
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# MEM_DIAG=true
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#=============#
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# Permissions #
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#=============#
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# UID=1000
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# GID=1000
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#==============#
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# Node Options #
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#==============#
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# NOTE: NODE_MAX_OLD_SPACE_SIZE is NOT recognized by Node.js directly.
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# This variable is used as a build argument for Docker or CI/CD workflows,
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# and is NOT used by Node.js to set the heap size at runtime.
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# To configure Node.js memory, use NODE_OPTIONS, e.g.:
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# NODE_OPTIONS="--max-old-space-size=6144"
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# See: https://nodejs.org/api/cli.html#--max-old-space-sizesize-in-mib
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NODE_MAX_OLD_SPACE_SIZE=6144
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#===============#
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# Configuration #
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#===============#
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# Use an absolute path, a relative path, or a URL
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# CONFIG_PATH="/alternative/path/to/librechat.yaml"
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#==================#
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# Langfuse Tracing #
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#==================#
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# Get Langfuse API keys for your project from the project settings page: https://cloud.langfuse.com
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# LANGFUSE_PUBLIC_KEY=
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# LANGFUSE_SECRET_KEY=
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# LANGFUSE_BASE_URL=
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#===================================================#
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# Endpoints #
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#===================================================#
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# ENDPOINTS=openAI,assistants,azureOpenAI,google,anthropic
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PROXY=
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#===================================#
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# Known Endpoints - librechat.yaml #
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#===================================#
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# https://www.librechat.ai/docs/configuration/librechat_yaml/ai_endpoints
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# ANYSCALE_API_KEY=
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# APIPIE_API_KEY=
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# COHERE_API_KEY=
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# DEEPSEEK_API_KEY=
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# DATABRICKS_API_KEY=
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# FIREWORKS_API_KEY=
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# GROQ_API_KEY=
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# HUGGINGFACE_TOKEN=
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# MISTRAL_API_KEY=
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# OPENROUTER_KEY=
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# PERPLEXITY_API_KEY=
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# SHUTTLEAI_API_KEY=
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# TOGETHERAI_API_KEY=
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# UNIFY_API_KEY=
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# XAI_API_KEY=
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#============#
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# Anthropic #
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#============#
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ANTHROPIC_API_KEY=user_provided
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# ANTHROPIC_MODELS=claude-sonnet-4-6,claude-opus-4-6,claude-opus-4-20250514,claude-sonnet-4-20250514,claude-3-7-sonnet-20250219,claude-3-5-sonnet-20241022,claude-3-5-haiku-20241022,claude-3-opus-20240229,claude-3-sonnet-20240229,claude-3-haiku-20240307
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# ANTHROPIC_REVERSE_PROXY=
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# Set to true to use Anthropic models through Google Vertex AI instead of direct API
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# ANTHROPIC_USE_VERTEX=
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# ANTHROPIC_VERTEX_REGION=us-east5
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#============#
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# Azure #
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#============#
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# Note: these variables are DEPRECATED
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# Use the `librechat.yaml` configuration for `azureOpenAI` instead
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# You may also continue to use them if you opt out of using the `librechat.yaml` configuration
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# AZURE_OPENAI_DEFAULT_MODEL=gpt-3.5-turbo # Deprecated
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# AZURE_OPENAI_MODELS=gpt-3.5-turbo,gpt-4 # Deprecated
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# AZURE_USE_MODEL_AS_DEPLOYMENT_NAME=TRUE # Deprecated
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# AZURE_API_KEY= # Deprecated
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# AZURE_OPENAI_API_INSTANCE_NAME= # Deprecated
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# AZURE_OPENAI_API_DEPLOYMENT_NAME= # Deprecated
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# AZURE_OPENAI_API_VERSION= # Deprecated
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# AZURE_OPENAI_API_COMPLETIONS_DEPLOYMENT_NAME= # Deprecated
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# AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME= # Deprecated
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#=================#
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# AWS Bedrock #
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#=================#
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# BEDROCK_AWS_DEFAULT_REGION=us-east-1 # A default region must be provided
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# BEDROCK_AWS_ACCESS_KEY_ID=someAccessKey
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# BEDROCK_AWS_SECRET_ACCESS_KEY=someSecretAccessKey
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# BEDROCK_AWS_SESSION_TOKEN=someSessionToken
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# Note: This example list is not meant to be exhaustive. If omitted, all known, supported model IDs will be included for you.
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# BEDROCK_AWS_MODELS=anthropic.claude-sonnet-4-6,anthropic.claude-opus-4-6-v1,anthropic.claude-3-5-sonnet-20240620-v1:0,meta.llama3-1-8b-instruct-v1:0
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# Cross-region inference model IDs: us.anthropic.claude-sonnet-4-6,us.anthropic.claude-opus-4-6-v1,global.anthropic.claude-opus-4-6-v1
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# See all Bedrock model IDs here: https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html#model-ids-arns
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# Notes on specific models:
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# The following models are not support due to not supporting streaming:
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# ai21.j2-mid-v1
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# The following models are not support due to not supporting conversation history:
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# ai21.j2-ultra-v1, cohere.command-text-v14, cohere.command-light-text-v14
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#============#
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# Google #
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||||
#============#
|
||||
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||||
GOOGLE_KEY=user_provided
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||||
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# GOOGLE_REVERSE_PROXY=
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# Some reverse proxies do not support the X-goog-api-key header, uncomment to pass the API key in Authorization header instead.
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# GOOGLE_AUTH_HEADER=true
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# Gemini API (AI Studio)
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# GOOGLE_MODELS=gemini-3.1-pro-preview,gemini-3.1-pro-preview-customtools,gemini-3.1-flash-lite-preview,gemini-2.5-pro,gemini-2.5-flash,gemini-2.5-flash-lite,gemini-2.0-flash,gemini-2.0-flash-lite
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# Vertex AI
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# GOOGLE_MODELS=gemini-3.1-pro-preview,gemini-3.1-pro-preview-customtools,gemini-3.1-flash-lite-preview,gemini-2.5-pro,gemini-2.5-flash,gemini-2.5-flash-lite,gemini-2.0-flash-001,gemini-2.0-flash-lite-001
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||||
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# GOOGLE_TITLE_MODEL=gemini-2.0-flash-lite-001
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# Google Cloud region for Vertex AI (used by both chat and image generation)
|
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# GOOGLE_LOC=us-central1
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||||
# Alternative region env var for Gemini Image Generation
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# GOOGLE_CLOUD_LOCATION=global
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|
||||
# Vertex AI Service Account Configuration
|
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# Path to your Google Cloud service account JSON file
|
||||
# GOOGLE_SERVICE_KEY_FILE=/path/to/service-account.json
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||||
|
||||
# Google Safety Settings
|
||||
# NOTE: These settings apply to both Vertex AI and Gemini API (AI Studio)
|
||||
#
|
||||
# For Vertex AI:
|
||||
# To use the BLOCK_NONE setting, you need either:
|
||||
# (a) Access through an allowlist via your Google account team, or
|
||||
# (b) Switch to monthly invoiced billing: https://cloud.google.com/billing/docs/how-to/invoiced-billing
|
||||
#
|
||||
# For Gemini API (AI Studio):
|
||||
# BLOCK_NONE is available by default, no special account requirements.
|
||||
#
|
||||
# Available options: BLOCK_NONE, BLOCK_ONLY_HIGH, BLOCK_MEDIUM_AND_ABOVE, BLOCK_LOW_AND_ABOVE
|
||||
#
|
||||
# GOOGLE_SAFETY_SEXUALLY_EXPLICIT=BLOCK_ONLY_HIGH
|
||||
# GOOGLE_SAFETY_HATE_SPEECH=BLOCK_ONLY_HIGH
|
||||
# GOOGLE_SAFETY_HARASSMENT=BLOCK_ONLY_HIGH
|
||||
# GOOGLE_SAFETY_DANGEROUS_CONTENT=BLOCK_ONLY_HIGH
|
||||
# GOOGLE_SAFETY_CIVIC_INTEGRITY=BLOCK_ONLY_HIGH
|
||||
|
||||
#========================#
|
||||
# Gemini Image Generation #
|
||||
#========================#
|
||||
|
||||
# Gemini Image Generation Tool (for Agents)
|
||||
# Supports multiple authentication methods in priority order:
|
||||
# 1. User-provided API key (via GUI)
|
||||
# 2. GEMINI_API_KEY env var (admin-configured)
|
||||
# 3. GOOGLE_KEY env var (shared with Google chat endpoint)
|
||||
# 4. Vertex AI service account (via GOOGLE_SERVICE_KEY_FILE)
|
||||
|
||||
# Option A: Use dedicated Gemini API key for image generation
|
||||
# GEMINI_API_KEY=your-gemini-api-key
|
||||
|
||||
# Vertex AI model for image generation (defaults to gemini-2.5-flash-image)
|
||||
# GEMINI_IMAGE_MODEL=gemini-2.5-flash-image
|
||||
|
||||
#============#
|
||||
# OpenAI #
|
||||
#============#
|
||||
|
||||
OPENAI_API_KEY=user_provided
|
||||
# OPENAI_MODELS=gpt-5,gpt-5-codex,gpt-5-mini,gpt-5-nano,o3-pro,o3,o4-mini,gpt-4.1,gpt-4.1-mini,gpt-4.1-nano,o3-mini,o1-pro,o1,gpt-4o,gpt-4o-mini
|
||||
|
||||
DEBUG_OPENAI=false
|
||||
|
||||
# TITLE_CONVO=false
|
||||
# OPENAI_TITLE_MODEL=gpt-4o-mini
|
||||
|
||||
# OPENAI_SUMMARIZE=true
|
||||
# OPENAI_SUMMARY_MODEL=gpt-4o-mini
|
||||
|
||||
# OPENAI_FORCE_PROMPT=true
|
||||
|
||||
# OPENAI_REVERSE_PROXY=
|
||||
|
||||
# OPENAI_ORGANIZATION=
|
||||
|
||||
#====================#
|
||||
# Assistants API #
|
||||
#====================#
|
||||
|
||||
ASSISTANTS_API_KEY=user_provided
|
||||
# ASSISTANTS_BASE_URL=
|
||||
# ASSISTANTS_MODELS=gpt-4o,gpt-4o-mini,gpt-3.5-turbo-0125,gpt-3.5-turbo-16k-0613,gpt-3.5-turbo-16k,gpt-3.5-turbo,gpt-4,gpt-4-0314,gpt-4-32k-0314,gpt-4-0613,gpt-3.5-turbo-0613,gpt-3.5-turbo-1106,gpt-4-0125-preview,gpt-4-turbo-preview,gpt-4-1106-preview
|
||||
|
||||
#==========================#
|
||||
# Azure Assistants API #
|
||||
#==========================#
|
||||
|
||||
# Note: You should map your credentials with custom variables according to your Azure OpenAI Configuration
|
||||
# The models for Azure Assistants are also determined by your Azure OpenAI configuration.
|
||||
|
||||
# More info, including how to enable use of Assistants with Azure here:
|
||||
# https://www.librechat.ai/docs/configuration/librechat_yaml/ai_endpoints/azure#using-assistants-with-azure
|
||||
|
||||
CREDS_KEY=f34be427ebb29de8d88c107a71546019685ed8b241d8f2ed00c3df97ad2566f0
|
||||
CREDS_IV=e2341419ec3dd3d19b13a1a87fafcbfb
|
||||
|
||||
# Azure AI Search
|
||||
#-----------------
|
||||
AZURE_AI_SEARCH_SERVICE_ENDPOINT=
|
||||
AZURE_AI_SEARCH_INDEX_NAME=
|
||||
AZURE_AI_SEARCH_API_KEY=
|
||||
|
||||
AZURE_AI_SEARCH_API_VERSION=
|
||||
AZURE_AI_SEARCH_SEARCH_OPTION_QUERY_TYPE=
|
||||
AZURE_AI_SEARCH_SEARCH_OPTION_TOP=
|
||||
AZURE_AI_SEARCH_SEARCH_OPTION_SELECT=
|
||||
|
||||
# OpenAI Image Tools Customization
|
||||
#----------------
|
||||
# IMAGE_GEN_OAI_API_KEY= # Create or reuse OpenAI API key for image generation tool
|
||||
# IMAGE_GEN_OAI_BASEURL= # Custom OpenAI base URL for image generation tool
|
||||
# IMAGE_GEN_OAI_AZURE_API_VERSION= # Custom Azure OpenAI deployments
|
||||
# IMAGE_GEN_OAI_MODEL=gpt-image-1 # OpenAI image model (e.g., gpt-image-1, gpt-image-1.5)
|
||||
# IMAGE_GEN_OAI_DESCRIPTION=
|
||||
# IMAGE_GEN_OAI_DESCRIPTION_WITH_FILES=Custom description for image generation tool when files are present
|
||||
# IMAGE_GEN_OAI_DESCRIPTION_NO_FILES=Custom description for image generation tool when no files are present
|
||||
# IMAGE_EDIT_OAI_DESCRIPTION=Custom description for image editing tool
|
||||
# IMAGE_GEN_OAI_PROMPT_DESCRIPTION=Custom prompt description for image generation tool
|
||||
# IMAGE_EDIT_OAI_PROMPT_DESCRIPTION=Custom prompt description for image editing tool
|
||||
|
||||
# DALL·E
|
||||
#----------------
|
||||
# DALLE_API_KEY=
|
||||
# DALLE3_API_KEY=
|
||||
# DALLE2_API_KEY=
|
||||
# DALLE3_SYSTEM_PROMPT=
|
||||
# DALLE2_SYSTEM_PROMPT=
|
||||
# DALLE_REVERSE_PROXY=
|
||||
# DALLE3_BASEURL=
|
||||
# DALLE2_BASEURL=
|
||||
|
||||
# DALL·E (via Azure OpenAI)
|
||||
# Note: requires some of the variables above to be set
|
||||
#----------------
|
||||
# DALLE3_AZURE_API_VERSION=
|
||||
# DALLE2_AZURE_API_VERSION=
|
||||
|
||||
# Flux
|
||||
#-----------------
|
||||
FLUX_API_BASE_URL=https://api.us1.bfl.ai
|
||||
# FLUX_API_BASE_URL = 'https://api.bfl.ml';
|
||||
|
||||
# Get your API key at https://api.us1.bfl.ai/auth/profile
|
||||
# FLUX_API_KEY=
|
||||
|
||||
# Google
|
||||
#-----------------
|
||||
GOOGLE_SEARCH_API_KEY=
|
||||
GOOGLE_CSE_ID=
|
||||
|
||||
# Stable Diffusion
|
||||
#-----------------
|
||||
SD_WEBUI_URL=http://host.docker.internal:7860
|
||||
|
||||
# Tavily
|
||||
#-----------------
|
||||
TAVILY_API_KEY=
|
||||
|
||||
# Traversaal
|
||||
#-----------------
|
||||
TRAVERSAAL_API_KEY=
|
||||
|
||||
# WolframAlpha
|
||||
#-----------------
|
||||
WOLFRAM_APP_ID=
|
||||
|
||||
# Zapier
|
||||
#-----------------
|
||||
ZAPIER_NLA_API_KEY=
|
||||
|
||||
#==================================================#
|
||||
# Search #
|
||||
#==================================================#
|
||||
|
||||
SEARCH=true
|
||||
MEILI_NO_ANALYTICS=true
|
||||
MEILI_HOST=http://0.0.0.0:7700
|
||||
MEILI_MASTER_KEY=DrhYf7zENyR6AlUCKmnz0eYASOQdl6zxH7s7MKFSfFCt
|
||||
|
||||
# Optional: Disable indexing, useful in a multi-node setup
|
||||
# where only one instance should perform an index sync.
|
||||
# MEILI_NO_SYNC=true
|
||||
|
||||
#==================================================#
|
||||
# Speech to Text & Text to Speech #
|
||||
#==================================================#
|
||||
|
||||
STT_API_KEY=
|
||||
TTS_API_KEY=
|
||||
|
||||
#==================================================#
|
||||
# RAG #
|
||||
#==================================================#
|
||||
# More info: https://www.librechat.ai/docs/configuration/rag_api
|
||||
|
||||
# RAG_OPENAI_BASEURL=
|
||||
# RAG_OPENAI_API_KEY=
|
||||
# RAG_USE_FULL_CONTEXT=
|
||||
# EMBEDDINGS_PROVIDER=openai
|
||||
# EMBEDDINGS_MODEL=text-embedding-3-small
|
||||
|
||||
#===================================================#
|
||||
# User System #
|
||||
#===================================================#
|
||||
|
||||
#========================#
|
||||
# Moderation #
|
||||
#========================#
|
||||
|
||||
OPENAI_MODERATION=false
|
||||
OPENAI_MODERATION_API_KEY=
|
||||
# OPENAI_MODERATION_REVERSE_PROXY=
|
||||
|
||||
BAN_VIOLATIONS=true
|
||||
BAN_DURATION=1000 * 60 * 60 * 2
|
||||
BAN_INTERVAL=20
|
||||
|
||||
LOGIN_VIOLATION_SCORE=1
|
||||
REGISTRATION_VIOLATION_SCORE=1
|
||||
CONCURRENT_VIOLATION_SCORE=1
|
||||
MESSAGE_VIOLATION_SCORE=1
|
||||
NON_BROWSER_VIOLATION_SCORE=20
|
||||
TTS_VIOLATION_SCORE=0
|
||||
STT_VIOLATION_SCORE=0
|
||||
FORK_VIOLATION_SCORE=0
|
||||
IMPORT_VIOLATION_SCORE=0
|
||||
FILE_UPLOAD_VIOLATION_SCORE=0
|
||||
|
||||
LOGIN_MAX=7
|
||||
LOGIN_WINDOW=5
|
||||
REGISTER_MAX=5
|
||||
REGISTER_WINDOW=60
|
||||
|
||||
LIMIT_CONCURRENT_MESSAGES=true
|
||||
CONCURRENT_MESSAGE_MAX=2
|
||||
|
||||
LIMIT_MESSAGE_IP=true
|
||||
MESSAGE_IP_MAX=40
|
||||
MESSAGE_IP_WINDOW=1
|
||||
|
||||
LIMIT_MESSAGE_USER=false
|
||||
MESSAGE_USER_MAX=40
|
||||
MESSAGE_USER_WINDOW=1
|
||||
|
||||
ILLEGAL_MODEL_REQ_SCORE=5
|
||||
|
||||
#========================#
|
||||
# Balance #
|
||||
#========================#
|
||||
|
||||
# CHECK_BALANCE=false
|
||||
# START_BALANCE=20000 # note: the number of tokens that will be credited after registration.
|
||||
|
||||
#========================#
|
||||
# Registration and Login #
|
||||
#========================#
|
||||
|
||||
ALLOW_EMAIL_LOGIN=true
|
||||
ALLOW_REGISTRATION=true
|
||||
ALLOW_SOCIAL_LOGIN=false
|
||||
ALLOW_SOCIAL_REGISTRATION=false
|
||||
ALLOW_PASSWORD_RESET=false
|
||||
# ALLOW_ACCOUNT_DELETION=true # note: enabled by default if omitted/commented out
|
||||
ALLOW_UNVERIFIED_EMAIL_LOGIN=true
|
||||
|
||||
SESSION_EXPIRY=1000 * 60 * 15
|
||||
REFRESH_TOKEN_EXPIRY=(1000 * 60 * 60 * 24) * 7
|
||||
|
||||
JWT_SECRET=16f8c0ef4a5d391b26034086c628469d3f9f497f08163ab9b40137092f2909ef
|
||||
JWT_REFRESH_SECRET=eaa5191f2914e30b9387fd84e254e4ba6fc51b4654968a9b0803b456a54b8418
|
||||
|
||||
# Discord
|
||||
DISCORD_CLIENT_ID=
|
||||
DISCORD_CLIENT_SECRET=
|
||||
DISCORD_CALLBACK_URL=/oauth/discord/callback
|
||||
|
||||
# Facebook
|
||||
FACEBOOK_CLIENT_ID=
|
||||
FACEBOOK_CLIENT_SECRET=
|
||||
FACEBOOK_CALLBACK_URL=/oauth/facebook/callback
|
||||
|
||||
# GitHub
|
||||
GITHUB_CLIENT_ID=
|
||||
GITHUB_CLIENT_SECRET=
|
||||
GITHUB_CALLBACK_URL=/oauth/github/callback
|
||||
# GitHub Enterprise
|
||||
# GITHUB_ENTERPRISE_BASE_URL=
|
||||
# GITHUB_ENTERPRISE_USER_AGENT=
|
||||
|
||||
# Google
|
||||
GOOGLE_CLIENT_ID=
|
||||
GOOGLE_CLIENT_SECRET=
|
||||
GOOGLE_CALLBACK_URL=/oauth/google/callback
|
||||
|
||||
# Apple
|
||||
APPLE_CLIENT_ID=
|
||||
APPLE_TEAM_ID=
|
||||
APPLE_KEY_ID=
|
||||
APPLE_PRIVATE_KEY_PATH=
|
||||
APPLE_CALLBACK_URL=/oauth/apple/callback
|
||||
|
||||
# OpenID
|
||||
OPENID_CLIENT_ID=
|
||||
OPENID_CLIENT_SECRET=
|
||||
OPENID_ISSUER=
|
||||
OPENID_SESSION_SECRET=
|
||||
OPENID_SCOPE="openid profile email"
|
||||
OPENID_CALLBACK_URL=/oauth/openid/callback
|
||||
OPENID_REQUIRED_ROLE=
|
||||
OPENID_REQUIRED_ROLE_TOKEN_KIND=
|
||||
OPENID_REQUIRED_ROLE_PARAMETER_PATH=
|
||||
OPENID_ADMIN_ROLE=
|
||||
OPENID_ADMIN_ROLE_PARAMETER_PATH=
|
||||
OPENID_ADMIN_ROLE_TOKEN_KIND=
|
||||
# Set to determine which user info property returned from OpenID Provider to store as the User's username
|
||||
OPENID_USERNAME_CLAIM=
|
||||
# Set to determine which user info property returned from OpenID Provider to store as the User's name
|
||||
OPENID_NAME_CLAIM=
|
||||
# Set to determine which user info claim to use as the email/identifier for user matching (e.g., "upn" for Entra ID)
|
||||
# When not set, defaults to: email -> preferred_username -> upn
|
||||
OPENID_EMAIL_CLAIM=
|
||||
# Optional audience parameter for OpenID authorization requests
|
||||
OPENID_AUDIENCE=
|
||||
|
||||
OPENID_BUTTON_LABEL=
|
||||
OPENID_IMAGE_URL=
|
||||
# Set to true to automatically redirect to the OpenID provider when a user visits the login page
|
||||
# This will bypass the login form completely for users, only use this if OpenID is your only authentication method
|
||||
OPENID_AUTO_REDIRECT=false
|
||||
# Set to true to use PKCE (Proof Key for Code Exchange) for OpenID authentication
|
||||
OPENID_USE_PKCE=false
|
||||
#Set to true to reuse openid tokens for authentication management instead of using the mongodb session and the custom refresh token.
|
||||
OPENID_REUSE_TOKENS=
|
||||
#By default, signing key verification results are cached in order to prevent excessive HTTP requests to the JWKS endpoint.
|
||||
#If a signing key matching the kid is found, this will be cached and the next time this kid is requested the signing key will be served from the cache.
|
||||
#Default is true.
|
||||
OPENID_JWKS_URL_CACHE_ENABLED=
|
||||
OPENID_JWKS_URL_CACHE_TIME= # 600000 ms eq to 10 minutes leave empty to disable caching
|
||||
#Set to true to trigger token exchange flow to acquire access token for the userinfo endpoint.
|
||||
OPENID_ON_BEHALF_FLOW_FOR_USERINFO_REQUIRED=
|
||||
OPENID_ON_BEHALF_FLOW_USERINFO_SCOPE="user.read" # example for Scope Needed for Microsoft Graph API
|
||||
# Set to true to use the OpenID Connect end session endpoint for logout
|
||||
OPENID_USE_END_SESSION_ENDPOINT=
|
||||
# URL to redirect to after OpenID logout (defaults to ${DOMAIN_CLIENT}/login)
|
||||
OPENID_POST_LOGOUT_REDIRECT_URI=
|
||||
# Maximum logout URL length before using logout_hint instead of id_token_hint (default: 2000)
|
||||
OPENID_MAX_LOGOUT_URL_LENGTH=
|
||||
|
||||
#========================#
|
||||
# SharePoint Integration #
|
||||
#========================#
|
||||
# Requires Entra ID (OpenID) authentication to be configured
|
||||
|
||||
# Enable SharePoint file picker in chat and agent panels
|
||||
# ENABLE_SHAREPOINT_FILEPICKER=true
|
||||
|
||||
# SharePoint tenant base URL (e.g., https://yourtenant.sharepoint.com)
|
||||
# SHAREPOINT_BASE_URL=https://yourtenant.sharepoint.com
|
||||
|
||||
# Microsoft Graph API And SharePoint scopes for file picker
|
||||
# SHAREPOINT_PICKER_SHAREPOINT_SCOPE==https://yourtenant.sharepoint.com/AllSites.Read
|
||||
# SHAREPOINT_PICKER_GRAPH_SCOPE=Files.Read.All
|
||||
#========================#
|
||||
|
||||
# SAML
|
||||
# Note: If OpenID is enabled, SAML authentication will be automatically disabled.
|
||||
SAML_ENTRY_POINT=
|
||||
SAML_ISSUER=
|
||||
SAML_CERT=
|
||||
SAML_CALLBACK_URL=/oauth/saml/callback
|
||||
SAML_SESSION_SECRET=
|
||||
|
||||
# Attribute mappings (optional)
|
||||
SAML_EMAIL_CLAIM=
|
||||
SAML_USERNAME_CLAIM=
|
||||
SAML_GIVEN_NAME_CLAIM=
|
||||
SAML_FAMILY_NAME_CLAIM=
|
||||
SAML_PICTURE_CLAIM=
|
||||
SAML_NAME_CLAIM=
|
||||
|
||||
# Logint buttion settings (optional)
|
||||
SAML_BUTTON_LABEL=
|
||||
SAML_IMAGE_URL=
|
||||
|
||||
# Whether the SAML Response should be signed.
|
||||
# - If "true", the entire `SAML Response` will be signed.
|
||||
# - If "false" or unset, only the `SAML Assertion` will be signed (default behavior).
|
||||
# SAML_USE_AUTHN_RESPONSE_SIGNED=
|
||||
|
||||
|
||||
#===============================================#
|
||||
# Microsoft Graph API / Entra ID Integration #
|
||||
#===============================================#
|
||||
|
||||
# Enable Entra ID people search integration in permissions/sharing system
|
||||
# When enabled, the people picker will search both local database and Entra ID
|
||||
USE_ENTRA_ID_FOR_PEOPLE_SEARCH=false
|
||||
|
||||
# When enabled, entra id groups owners will be considered as members of the group
|
||||
ENTRA_ID_INCLUDE_OWNERS_AS_MEMBERS=false
|
||||
|
||||
# Microsoft Graph API scopes needed for people/group search
|
||||
# Default scopes provide access to user profiles and group memberships
|
||||
OPENID_GRAPH_SCOPES=User.Read,People.Read,GroupMember.Read.All
|
||||
|
||||
# LDAP
|
||||
LDAP_URL=
|
||||
LDAP_BIND_DN=
|
||||
LDAP_BIND_CREDENTIALS=
|
||||
LDAP_USER_SEARCH_BASE=
|
||||
#LDAP_SEARCH_FILTER="mail="
|
||||
LDAP_CA_CERT_PATH=
|
||||
# LDAP_TLS_REJECT_UNAUTHORIZED=
|
||||
# LDAP_STARTTLS=
|
||||
# LDAP_LOGIN_USES_USERNAME=true
|
||||
# LDAP_ID=
|
||||
# LDAP_USERNAME=
|
||||
# LDAP_EMAIL=
|
||||
# LDAP_FULL_NAME=
|
||||
|
||||
#========================#
|
||||
# Email Password Reset #
|
||||
#========================#
|
||||
|
||||
EMAIL_SERVICE=
|
||||
EMAIL_HOST=
|
||||
EMAIL_PORT=25
|
||||
EMAIL_ENCRYPTION=
|
||||
EMAIL_ENCRYPTION_HOSTNAME=
|
||||
EMAIL_ALLOW_SELFSIGNED=
|
||||
# Leave both empty for SMTP servers that do not require authentication
|
||||
EMAIL_USERNAME=
|
||||
EMAIL_PASSWORD=
|
||||
EMAIL_FROM_NAME=
|
||||
EMAIL_FROM=noreply@librechat.ai
|
||||
|
||||
#========================#
|
||||
# Mailgun API #
|
||||
#========================#
|
||||
|
||||
# MAILGUN_API_KEY=your-mailgun-api-key
|
||||
# MAILGUN_DOMAIN=mg.yourdomain.com
|
||||
# EMAIL_FROM=noreply@yourdomain.com
|
||||
# EMAIL_FROM_NAME="LibreChat"
|
||||
|
||||
# # Optional: For EU region
|
||||
# MAILGUN_HOST=https://api.eu.mailgun.net
|
||||
|
||||
#========================#
|
||||
# Firebase CDN #
|
||||
#========================#
|
||||
|
||||
FIREBASE_API_KEY=
|
||||
FIREBASE_AUTH_DOMAIN=
|
||||
FIREBASE_PROJECT_ID=
|
||||
FIREBASE_STORAGE_BUCKET=
|
||||
FIREBASE_MESSAGING_SENDER_ID=
|
||||
FIREBASE_APP_ID=
|
||||
|
||||
#========================#
|
||||
# S3 AWS Bucket #
|
||||
#========================#
|
||||
|
||||
AWS_ENDPOINT_URL=
|
||||
AWS_ACCESS_KEY_ID=
|
||||
AWS_SECRET_ACCESS_KEY=
|
||||
AWS_REGION=
|
||||
AWS_BUCKET_NAME=
|
||||
# Required for path-style S3-compatible providers (MinIO, Hetzner, Backblaze B2, etc.)
|
||||
# that don't support virtual-hosted-style URLs (bucket.endpoint). Not needed for AWS S3.
|
||||
# AWS_FORCE_PATH_STYLE=false
|
||||
|
||||
#========================#
|
||||
# Azure Blob Storage #
|
||||
#========================#
|
||||
|
||||
AZURE_STORAGE_CONNECTION_STRING=
|
||||
AZURE_STORAGE_PUBLIC_ACCESS=false
|
||||
AZURE_CONTAINER_NAME=files
|
||||
|
||||
#========================#
|
||||
# Shared Links #
|
||||
#========================#
|
||||
|
||||
ALLOW_SHARED_LINKS=true
|
||||
# Allows unauthenticated access to shared links. Defaults to false (auth required) if not set.
|
||||
ALLOW_SHARED_LINKS_PUBLIC=false
|
||||
|
||||
#==============================#
|
||||
# Static File Cache Control #
|
||||
#==============================#
|
||||
|
||||
# Leave commented out to use defaults: 1 day (86400 seconds) for s-maxage and 2 days (172800 seconds) for max-age
|
||||
# NODE_ENV must be set to production for these to take effect
|
||||
# STATIC_CACHE_MAX_AGE=172800
|
||||
# STATIC_CACHE_S_MAX_AGE=86400
|
||||
|
||||
# If you have another service in front of your LibreChat doing compression, disable express based compression here
|
||||
# DISABLE_COMPRESSION=true
|
||||
|
||||
# If you have gzipped version of uploaded image images in the same folder, this will enable gzip scan and serving of these images
|
||||
# Note: The images folder will be scanned on startup and a ma kept in memory. Be careful for large number of images.
|
||||
# ENABLE_IMAGE_OUTPUT_GZIP_SCAN=true
|
||||
|
||||
#===================================================#
|
||||
# UI #
|
||||
#===================================================#
|
||||
|
||||
APP_TITLE=LibreChat
|
||||
# CUSTOM_FOOTER="My custom footer"
|
||||
HELP_AND_FAQ_URL=https://librechat.ai
|
||||
|
||||
# SHOW_BIRTHDAY_ICON=true
|
||||
|
||||
# Google tag manager id
|
||||
#ANALYTICS_GTM_ID=user provided google tag manager id
|
||||
|
||||
# limit conversation file imports to a certain number of bytes in size to avoid the container
|
||||
# maxing out memory limitations by unremarking this line and supplying a file size in bytes
|
||||
# such as the below example of 250 mib
|
||||
# CONVERSATION_IMPORT_MAX_FILE_SIZE_BYTES=262144000
|
||||
|
||||
|
||||
#===============#
|
||||
# REDIS Options #
|
||||
#===============#
|
||||
|
||||
# Enable Redis for caching and session storage
|
||||
# USE_REDIS=true
|
||||
# Enable Redis for resumable LLM streams (defaults to USE_REDIS value if not set)
|
||||
# Set to false to use in-memory storage for streams while keeping Redis for other caches
|
||||
# USE_REDIS_STREAMS=true
|
||||
|
||||
# Single Redis instance
|
||||
# REDIS_URI=redis://127.0.0.1:6379
|
||||
|
||||
# Redis cluster (multiple nodes)
|
||||
# REDIS_URI=redis://127.0.0.1:7001,redis://127.0.0.1:7002,redis://127.0.0.1:7003
|
||||
|
||||
# Redis with TLS/SSL encryption and CA certificate
|
||||
# REDIS_URI=rediss://127.0.0.1:6380
|
||||
# REDIS_CA=/path/to/ca-cert.pem
|
||||
|
||||
# Elasticache may need to use an alternate dnsLookup for TLS connections. see "Special Note: Aws Elasticache Clusters with TLS" on this webpage: https://www.npmjs.com/package/ioredis
|
||||
# Enable alternative dnsLookup for redis
|
||||
# REDIS_USE_ALTERNATIVE_DNS_LOOKUP=true
|
||||
|
||||
# Redis authentication (if required)
|
||||
# REDIS_USERNAME=your_redis_username
|
||||
# REDIS_PASSWORD=your_redis_password
|
||||
|
||||
# Redis key prefix configuration
|
||||
# Use environment variable name for dynamic prefix (recommended for cloud deployments)
|
||||
# REDIS_KEY_PREFIX_VAR=K_REVISION
|
||||
# Or use static prefix directly
|
||||
# REDIS_KEY_PREFIX=librechat
|
||||
|
||||
# Redis connection limits
|
||||
# REDIS_MAX_LISTENERS=40
|
||||
|
||||
# Redis ping interval in seconds (0 = disabled, >0 = enabled)
|
||||
# When set to a positive integer, Redis clients will ping the server at this interval to keep connections alive
|
||||
# When unset or 0, no pinging is performed (recommended for most use cases)
|
||||
# REDIS_PING_INTERVAL=300
|
||||
|
||||
# Force specific cache namespaces to use in-memory storage even when Redis is enabled
|
||||
# Comma-separated list of CacheKeys
|
||||
# Defaults to CONFIG_STORE,APP_CONFIG so YAML-derived config stays per-container (safe for blue/green deployments)
|
||||
# Set to empty string to force all namespaces through Redis: FORCED_IN_MEMORY_CACHE_NAMESPACES=
|
||||
# FORCED_IN_MEMORY_CACHE_NAMESPACES=CONFIG_STORE,APP_CONFIG
|
||||
|
||||
# Leader Election Configuration (for multi-instance deployments with Redis)
|
||||
# Duration in seconds that the leader lease is valid before it expires (default: 25)
|
||||
# LEADER_LEASE_DURATION=25
|
||||
# Interval in seconds at which the leader renews its lease (default: 10)
|
||||
# LEADER_RENEW_INTERVAL=10
|
||||
# Maximum number of retry attempts when renewing the lease fails (default: 3)
|
||||
# LEADER_RENEW_ATTEMPTS=3
|
||||
# Delay in seconds between retry attempts when renewing the lease (default: 0.5)
|
||||
# LEADER_RENEW_RETRY_DELAY=0.5
|
||||
|
||||
#==================================================#
|
||||
# Others #
|
||||
#==================================================#
|
||||
# You should leave the following commented out #
|
||||
|
||||
# NODE_ENV=
|
||||
|
||||
# E2E_USER_EMAIL=
|
||||
# E2E_USER_PASSWORD=
|
||||
|
||||
#=====================================================#
|
||||
# Cache Headers #
|
||||
#=====================================================#
|
||||
# Headers that control caching of the index.html #
|
||||
# Default configuration prevents caching to ensure #
|
||||
# users always get the latest version. Customize #
|
||||
# only if you understand caching implications. #
|
||||
|
||||
# INDEX_CACHE_CONTROL=no-cache, no-store, must-revalidate
|
||||
# INDEX_PRAGMA=no-cache
|
||||
# INDEX_EXPIRES=0
|
||||
|
||||
# no-cache: Forces validation with server before using cached version
|
||||
# no-store: Prevents storing the response entirely
|
||||
# must-revalidate: Prevents using stale content when offline
|
||||
|
||||
#=====================================================#
|
||||
# OpenWeather #
|
||||
#=====================================================#
|
||||
OPENWEATHER_API_KEY=
|
||||
|
||||
#====================================#
|
||||
# LibreChat Code Interpreter API #
|
||||
#====================================#
|
||||
|
||||
# https://code.librechat.ai
|
||||
# LIBRECHAT_CODE_API_KEY=your-key
|
||||
|
||||
#======================#
|
||||
# Web Search #
|
||||
#======================#
|
||||
|
||||
# Note: All of the following variable names can be customized.
|
||||
# Omit values to allow user to provide them.
|
||||
|
||||
# For more information on configuration values, see:
|
||||
# https://librechat.ai/docs/features/web_search
|
||||
|
||||
# Search Provider (Required)
|
||||
# SERPER_API_KEY=your_serper_api_key
|
||||
|
||||
# Scraper (Required)
|
||||
# FIRECRAWL_API_KEY=your_firecrawl_api_key
|
||||
# Optional: Custom Firecrawl API URL
|
||||
# FIRECRAWL_API_URL=your_firecrawl_api_url
|
||||
|
||||
# Reranker (Required)
|
||||
# JINA_API_KEY=your_jina_api_key
|
||||
# or
|
||||
# COHERE_API_KEY=your_cohere_api_key
|
||||
|
||||
#======================#
|
||||
# MCP Configuration #
|
||||
#======================#
|
||||
|
||||
# Treat 401/403 responses as OAuth requirement when no oauth metadata found
|
||||
# MCP_OAUTH_ON_AUTH_ERROR=true
|
||||
|
||||
# Timeout for OAuth detection requests in milliseconds
|
||||
# MCP_OAUTH_DETECTION_TIMEOUT=5000
|
||||
|
||||
# Cache connection status checks for this many milliseconds to avoid expensive verification
|
||||
# MCP_CONNECTION_CHECK_TTL=60000
|
||||
|
||||
# Skip code challenge method validation (e.g., for AWS Cognito that supports S256 but doesn't advertise it)
|
||||
# When set to true, forces S256 code challenge even if not advertised in .well-known/openid-configuration
|
||||
# MCP_SKIP_CODE_CHALLENGE_CHECK=false
|
||||
|
||||
# Circuit breaker: max connect/disconnect cycles before tripping (per server)
|
||||
# MCP_CB_MAX_CYCLES=7
|
||||
|
||||
# Circuit breaker: sliding window (ms) for counting cycles
|
||||
# MCP_CB_CYCLE_WINDOW_MS=45000
|
||||
|
||||
# Circuit breaker: cooldown (ms) after the cycle breaker trips
|
||||
# MCP_CB_CYCLE_COOLDOWN_MS=15000
|
||||
|
||||
# Circuit breaker: max consecutive failed connection rounds before backoff
|
||||
# MCP_CB_MAX_FAILED_ROUNDS=3
|
||||
|
||||
# Circuit breaker: sliding window (ms) for counting failed rounds
|
||||
# MCP_CB_FAILED_WINDOW_MS=120000
|
||||
|
||||
# Circuit breaker: base backoff (ms) after failed round threshold is reached
|
||||
# MCP_CB_BASE_BACKOFF_MS=30000
|
||||
|
||||
# Circuit breaker: max backoff cap (ms) for exponential backoff
|
||||
# MCP_CB_MAX_BACKOFF_MS=300000
|
||||
@@ -0,0 +1,9 @@
|
||||
# Auto-generated from pyproject.toml — do not edit manually
|
||||
export ALFRED_VERSION=0.1.7
|
||||
export PYTHON_VERSION=3.14.3
|
||||
export PYTHON_VERSION_SHORT=3.14
|
||||
export IMAGE_NAME=alfred_media_organizer
|
||||
export SERVICE_NAME=alfred
|
||||
export LIBRECHAT_VERSION=v0.8.4
|
||||
export RAG_VERSION=v0.7.3
|
||||
export UV_VERSION=0.11.6
|
||||
+10
-27
@@ -3,14 +3,15 @@
|
||||
|
||||
ARG PYTHON_VERSION
|
||||
ARG PYTHON_VERSION_SHORT
|
||||
ARG RUNNER
|
||||
ARG UV_VERSION
|
||||
|
||||
# ===========================================
|
||||
# Stage 1: Builder
|
||||
# ===========================================
|
||||
FROM python:${PYTHON_VERSION}-slim-bookworm AS builder
|
||||
|
||||
# Re-declare ARGs after FROM to make them available in this stage
|
||||
ARG RUNNER
|
||||
ARG UV_VERSION
|
||||
|
||||
# STFU - No need - Write logs asap
|
||||
ENV DEBIAN_FRONTEND=noninteractive \
|
||||
@@ -18,30 +19,21 @@ ENV DEBIAN_FRONTEND=noninteractive \
|
||||
PYTHONUNBUFFERED=1
|
||||
|
||||
# Install build dependencies (needs root)
|
||||
RUN apt-get update && apt-get install -y --no-install-recommends \
|
||||
build-essential \
|
||||
RUN apt-get update \
|
||||
&& apt-get install -y --no-install-recommends build-essential \
|
||||
&& rm -rf /var/lib/apt/lists/*
|
||||
|
||||
# Install runner globally (needs root) - Save cache for future
|
||||
RUN --mount=type=cache,target=/root/.cache/pip \
|
||||
pip install $RUNNER
|
||||
# Install uv globally (needs root) - Save cache for future
|
||||
COPY --from=ghcr.io/astral-sh/uv:${UV_VERSION} /uv /usr/local/bin/uv
|
||||
|
||||
# Set working directory for dependency installation
|
||||
WORKDIR /tmp
|
||||
|
||||
# Copy dependency files
|
||||
COPY pyproject.toml poetry.lock* uv.lock* Makefile ./
|
||||
COPY pyproject.toml uv.lock Makefile ./
|
||||
|
||||
# Install dependencies as root (to avoid permission issues with system packages)
|
||||
RUN --mount=type=cache,target=/root/.cache/pip \
|
||||
--mount=type=cache,target=/root/.cache/pypoetry \
|
||||
--mount=type=cache,target=/root/.cache/uv \
|
||||
if [ "$RUNNER" = "poetry" ]; then \
|
||||
poetry config virtualenvs.create false && \
|
||||
poetry install --only main --no-root; \
|
||||
elif [ "$RUNNER" = "uv" ]; then \
|
||||
uv pip install --system -r pyproject.toml; \
|
||||
fi
|
||||
RUN --mount=type=cache,target=/root/.cache/uv uv sync --system
|
||||
|
||||
COPY scripts/ ./scripts/
|
||||
COPY .env.example ./
|
||||
@@ -51,16 +43,7 @@ COPY .env.example ./
|
||||
# ===========================================
|
||||
FROM builder AS test
|
||||
|
||||
ARG RUNNER
|
||||
|
||||
RUN --mount=type=cache,target=/root/.cache/pip \
|
||||
--mount=type=cache,target=/root/.cache/pypoetry \
|
||||
--mount=type=cache,target=/root/.cache/uv \
|
||||
if [ "$RUNNER" = "poetry" ]; then \
|
||||
poetry install --no-root; \
|
||||
elif [ "$RUNNER" = "uv" ]; then \
|
||||
uv pip install --system -e .[dev]; \
|
||||
fi
|
||||
RUN --mount=type=cache,target=/root/.cache/uv uv sync --system -e .[dev]
|
||||
|
||||
COPY alfred/ ./alfred
|
||||
COPY scripts ./scripts
|
||||
|
||||
@@ -13,23 +13,23 @@ DOCKER_COMPOSE := docker compose
|
||||
DOCKER_BUILD := docker build --no-cache \
|
||||
--build-arg PYTHON_VERSION=$(PYTHON_VERSION) \
|
||||
--build-arg PYTHON_VERSION_SHORT=$(PYTHON_VERSION_SHORT) \
|
||||
--build-arg RUNNER=$(RUNNER)
|
||||
--build-arg UV_VERSION=$(UV_VERSION)
|
||||
|
||||
# --- Phony ---
|
||||
.PHONY: .env bootstrap up down restart logs ps shell build build-test install \
|
||||
.PHONY: bootstrap up down restart logs ps shell build build-test install \
|
||||
update install-hooks test coverage lint format clean major minor patch help
|
||||
|
||||
# --- Setup ---
|
||||
.env .env.make:
|
||||
.env.alfred .env.librechat .env.secrets .env.make:
|
||||
@echo "Initializing environment..."
|
||||
@python scripts/bootstrap.py \
|
||||
@uv run python scripts/bootstrap.py \
|
||||
&& echo "✓ Environment ready" \
|
||||
|| (echo "✗ Environment setup failed" && exit 1)
|
||||
|
||||
bootstrap: .env .env.make
|
||||
bootstrap: .env.alfred .env.librechat .env.secrets .env.make
|
||||
|
||||
# --- Docker ---
|
||||
up: .env
|
||||
up: .env.alfred .env.secrets
|
||||
@echo "Starting containers with profiles: [full]..."
|
||||
@$(PROFILES_PARAM) $(DOCKER_COMPOSE) up -d --remove-orphans \
|
||||
&& echo "✓ Containers started" \
|
||||
@@ -75,44 +75,44 @@ build-test: .env.make
|
||||
# --- Dependencies ---
|
||||
install:
|
||||
@echo "Installing dependencies with $(RUNNER)..."
|
||||
@$(RUNNER) install \
|
||||
@uv install \
|
||||
&& echo "✓ Dependencies installed" \
|
||||
|| (echo "✗ Installation failed" && exit 1)
|
||||
|
||||
install-hooks:
|
||||
@echo "Installing pre-commit hooks..."
|
||||
@$(RUNNER) run pre-commit install \
|
||||
@uv run pre-commit install \
|
||||
&& echo "✓ Hooks installed" \
|
||||
|| (echo "✗ Hook installation failed" && exit 1)
|
||||
|
||||
update:
|
||||
@echo "Updating dependencies with $(RUNNER)..."
|
||||
@$(RUNNER) update \
|
||||
@uv update \
|
||||
&& echo "✓ Dependencies updated" \
|
||||
|| (echo "✗ Update failed" && exit 1)
|
||||
|
||||
# --- Quality ---
|
||||
test:
|
||||
@echo "Running tests..."
|
||||
@$(RUNNER) run pytest \
|
||||
@uv run pytest \
|
||||
&& echo "✓ Tests passed" \
|
||||
|| (echo "✗ Tests failed" && exit 1)
|
||||
|
||||
coverage:
|
||||
@echo "Running tests with coverage..."
|
||||
@$(RUNNER) run pytest --cov=. --cov-report=html --cov-report=term \
|
||||
@uv run pytest --cov=. --cov-report=html --cov-report=term \
|
||||
&& echo "✓ Coverage report generated" \
|
||||
|| (echo "✗ Coverage failed" && exit 1)
|
||||
|
||||
lint:
|
||||
@echo "Linting code..."
|
||||
@$(RUNNER) run ruff check --fix . \
|
||||
@uv run ruff check --fix . \
|
||||
&& echo "✓ Linting complete" \
|
||||
|| (echo "✗ Linting failed" && exit 1)
|
||||
|
||||
format:
|
||||
@echo "Formatting code..."
|
||||
@$(RUNNER) run ruff format . && $(RUNNER) run ruff check --fix . \
|
||||
@uv run ruff format . && $(RUNNER) run ruff check --fix . \
|
||||
&& echo "✓ Code formatted" \
|
||||
|| (echo "✗ Formatting failed" && exit 1)
|
||||
|
||||
@@ -125,7 +125,7 @@ clean:
|
||||
# --- Versioning ---
|
||||
major minor patch: _check-main
|
||||
@echo "Bumping $@ version..."
|
||||
@$(RUNNER) run bump-my-version bump $@ \
|
||||
@uv run bump-my-version bump $@ \
|
||||
&& echo "✓ Version bumped" \
|
||||
|| (echo "✗ Version bump failed" && exit 1)
|
||||
|
||||
@@ -161,6 +161,9 @@ help:
|
||||
@echo ""
|
||||
@echo "Usage: make [target] [p=profile1,profile2]"
|
||||
@echo ""
|
||||
@echo "Setup:"
|
||||
@echo " bootstrap Generate .env.alfred, .env.librechat, .env.secrets and .env.make"
|
||||
@echo ""
|
||||
@echo "Docker:"
|
||||
@echo " up Start containers (default profile: core)"
|
||||
@echo " Example: make up p=rag,meili"
|
||||
|
||||
+47
-123
@@ -1,112 +1,46 @@
|
||||
import secrets
|
||||
from pathlib import Path
|
||||
from typing import NamedTuple
|
||||
"""
|
||||
Application settings — Alfred only.
|
||||
|
||||
Loaded from .env.alfred and .env.secrets (via docker-compose env_file).
|
||||
At runtime, all variables are already in the environment — pydantic-settings
|
||||
picks them up automatically.
|
||||
"""
|
||||
|
||||
from pathlib import Path
|
||||
|
||||
import tomllib
|
||||
from pydantic import Field, computed_field, field_validator
|
||||
from pydantic_settings import BaseSettings, SettingsConfigDict
|
||||
|
||||
BASE_DIR = Path(__file__).resolve().parent.parent
|
||||
ENV_FILE_PATH = BASE_DIR / ".env"
|
||||
toml_path = BASE_DIR / "pyproject.toml"
|
||||
|
||||
|
||||
class ConfigurationError(Exception):
|
||||
"""Raised when configuration is invalid."""
|
||||
|
||||
pass
|
||||
|
||||
|
||||
class ProjectVersions(NamedTuple):
|
||||
"""
|
||||
Immutable structure for project versions.
|
||||
Forces explicit naming and prevents accidental swaps.
|
||||
"""
|
||||
|
||||
librechat: str
|
||||
rag: str
|
||||
alfred: str
|
||||
|
||||
|
||||
def get_versions_from_toml() -> ProjectVersions:
|
||||
"""
|
||||
Reads versioning information from pyproject.toml.
|
||||
Returns the default value if the file or key is missing.
|
||||
"""
|
||||
|
||||
if not toml_path.exists():
|
||||
raise FileNotFoundError(f"pyproject.toml not found: {toml_path}")
|
||||
|
||||
with open(toml_path, "rb") as f:
|
||||
data = tomllib.load(f)
|
||||
try:
|
||||
return ProjectVersions(
|
||||
librechat=data["tool"]["alfred"]["settings"]["librechat_version"],
|
||||
rag=data["tool"]["alfred"]["settings"]["rag_version"],
|
||||
alfred=data["tool"]["poetry"]["version"],
|
||||
)
|
||||
except KeyError as e:
|
||||
raise KeyError(f"Error: Missing key {e} in pyproject.toml") from e
|
||||
|
||||
|
||||
# Load versions once
|
||||
VERSIONS: ProjectVersions = get_versions_from_toml()
|
||||
|
||||
|
||||
class Settings(BaseSettings):
|
||||
model_config = SettingsConfigDict(
|
||||
env_file=ENV_FILE_PATH,
|
||||
env_file=[BASE_DIR / ".env.alfred", BASE_DIR / ".env.secrets"],
|
||||
env_file_encoding="utf-8",
|
||||
extra="ignore",
|
||||
case_sensitive=False,
|
||||
)
|
||||
# --- GENERAL SETTINGS ---
|
||||
|
||||
# --- APP ---
|
||||
host: str = "0.0.0.0"
|
||||
port: int = 3080
|
||||
debug_logging: bool = False
|
||||
debug_console: bool = False
|
||||
data_storage: str = "data"
|
||||
librechat_version: str = Field(VERSIONS.librechat, description="Librechat version")
|
||||
rag_version: str = Field(VERSIONS.rag, description="RAG engine version")
|
||||
alfred_version: str = Field(VERSIONS.alfred, description="Alfred version")
|
||||
|
||||
# --- CONTEXT SETTINGS ---
|
||||
max_history_messages: int = 10
|
||||
max_tool_iterations: int = 10
|
||||
request_timeout: int = 30
|
||||
llm_temperature: float = 0.2
|
||||
data_storage_dir: str = "data"
|
||||
|
||||
# TODO: Finish
|
||||
deepseek_base_url: str = "https://api.deepseek.com"
|
||||
deepseek_model: str = "deepseek-chat"
|
||||
|
||||
# --- API KEYS ---
|
||||
anthropic_api_key: str | None = Field(None, description="Claude API key")
|
||||
deepseek_api_key: str | None = Field(None, description="Deepseek API key")
|
||||
google_api_key: str | None = Field(None, description="Gemini API key")
|
||||
kimi_api_key: str | None = Field(None, description="Kimi API key")
|
||||
openai_api_key: str | None = Field(None, description="ChatGPT API key")
|
||||
|
||||
# --- SECURITY KEYS ---
|
||||
# Generated automatically if not in .env to ensure "Secure by Default"
|
||||
jwt_secret: str = Field(default_factory=lambda: secrets.token_urlsafe(32))
|
||||
jwt_refresh_secret: str = Field(default_factory=lambda: secrets.token_urlsafe(32))
|
||||
|
||||
# We keep these for encryption of keys in MongoDB (AES-256 Hex format)
|
||||
creds_key: str = Field(default_factory=lambda: secrets.token_hex(32))
|
||||
creds_iv: str = Field(default_factory=lambda: secrets.token_hex(16))
|
||||
|
||||
# --- SERVICES ---
|
||||
qbittorrent_url: str = "http://qbittorrent:16140"
|
||||
qbittorrent_username: str = "admin"
|
||||
qbittorrent_password: str = Field(default_factory=lambda: secrets.token_urlsafe(16))
|
||||
|
||||
# --- DATABASE ---
|
||||
mongo_host: str = "mongodb"
|
||||
mongo_user: str = "alfred"
|
||||
mongo_password: str = Field(
|
||||
default_factory=lambda: secrets.token_urlsafe(24), repr=False, exclude=True
|
||||
)
|
||||
mongo_port: int = 27017
|
||||
mongo_db_name: str = "alfred"
|
||||
mongo_user: str = "alfred"
|
||||
mongo_password: str = Field(repr=False)
|
||||
mongo_db_name: str = "LibreChat"
|
||||
|
||||
@computed_field(repr=False)
|
||||
@property
|
||||
@@ -118,11 +52,9 @@ class Settings(BaseSettings):
|
||||
)
|
||||
|
||||
postgres_host: str = "vectordb"
|
||||
postgres_user: str = "alfred"
|
||||
postgres_password: str = Field(
|
||||
default_factory=lambda: secrets.token_urlsafe(24), repr=False, exclude=True
|
||||
)
|
||||
postgres_port: int = 5432
|
||||
postgres_user: str = "alfred"
|
||||
postgres_password: str = Field(repr=False)
|
||||
postgres_db_name: str = "alfred"
|
||||
|
||||
@computed_field(repr=False)
|
||||
@@ -133,77 +65,69 @@ class Settings(BaseSettings):
|
||||
f"@{self.postgres_host}:{self.postgres_port}/{self.postgres_db_name}"
|
||||
)
|
||||
|
||||
tmdb_api_key: str | None = Field(None, description="The Movie Database API key")
|
||||
tmdb_base_url: str = "https://api.themoviedb.org/3"
|
||||
|
||||
# --- LLM PICKER & CONFIG ---
|
||||
# Providers: 'local', 'deepseek', ...
|
||||
# --- LLM ---
|
||||
default_llm_provider: str = "local"
|
||||
ollama_base_url: str = "http://ollama:11434"
|
||||
# Models: ...
|
||||
ollama_model: str = "llama3.3:latest"
|
||||
llm_temperature: float = 0.2
|
||||
deepseek_base_url: str = "https://api.deepseek.com"
|
||||
deepseek_model: str = "deepseek-chat"
|
||||
|
||||
# --- RAG ENGINE ---
|
||||
rag_enabled: bool = True # TODO: Handle False
|
||||
# --- API KEYS ---
|
||||
tmdb_api_key: str | None = None
|
||||
deepseek_api_key: str | None = None
|
||||
openai_api_key: str | None = None
|
||||
anthropic_api_key: str | None = None
|
||||
google_api_key: str | None = None
|
||||
kimi_api_key: str | None = None
|
||||
|
||||
# --- EXTERNAL SERVICES ---
|
||||
tmdb_base_url: str = "https://api.themoviedb.org/3"
|
||||
qbittorrent_url: str = "http://qbittorrent:16140"
|
||||
qbittorrent_username: str = "admin"
|
||||
qbittorrent_password: str = Field(repr=False)
|
||||
|
||||
# --- RAG ---
|
||||
rag_enabled: bool = True
|
||||
rag_api_url: str = "http://rag_api:8000"
|
||||
embeddings_provider: str = "ollama"
|
||||
# Models: ...
|
||||
embeddings_model: str = "nomic-embed-text"
|
||||
|
||||
# --- MEILISEARCH ---
|
||||
meili_enabled: bool = Field(True, description="Enable meili")
|
||||
meili_enabled: bool = False
|
||||
meili_no_analytics: bool = True
|
||||
meili_host: str = "http://meilisearch:7700"
|
||||
meili_master_key: str = Field(
|
||||
default_factory=lambda: secrets.token_urlsafe(32),
|
||||
description="Master key for Meilisearch",
|
||||
repr=False,
|
||||
)
|
||||
meili_master_key: str = Field(repr=False)
|
||||
|
||||
# --- VALIDATORS ---
|
||||
@field_validator("llm_temperature")
|
||||
@classmethod
|
||||
def validate_temperature(cls, v: float) -> float:
|
||||
if not 0.0 <= v <= 2.0:
|
||||
raise ConfigurationError(
|
||||
f"Temperature must be between 0.0 and 2.0, got {v}"
|
||||
)
|
||||
raise ConfigurationError(f"Temperature must be between 0.0 and 2.0, got {v}")
|
||||
return v
|
||||
|
||||
@field_validator("max_tool_iterations")
|
||||
@classmethod
|
||||
def validate_max_iterations(cls, v: int) -> int:
|
||||
if not 1 <= v <= 20:
|
||||
raise ConfigurationError(
|
||||
f"max_tool_iterations must be between 1 and 50, got {v}"
|
||||
)
|
||||
raise ConfigurationError(f"max_tool_iterations must be between 1 and 20, got {v}")
|
||||
return v
|
||||
|
||||
@field_validator("request_timeout")
|
||||
@classmethod
|
||||
def validate_timeout(cls, v: int) -> int:
|
||||
if not 1 <= v <= 300:
|
||||
raise ConfigurationError(
|
||||
f"request_timeout must be between 1 and 300 seconds, got {v}"
|
||||
)
|
||||
raise ConfigurationError(f"request_timeout must be between 1 and 300 seconds, got {v}")
|
||||
return v
|
||||
|
||||
@field_validator("deepseek_base_url", "tmdb_base_url")
|
||||
@classmethod
|
||||
def validate_url(cls, v: str, info) -> str:
|
||||
if not v.startswith(("http://", "https://")):
|
||||
raise ConfigurationError(f"Invalid {info.field_name}")
|
||||
return v
|
||||
|
||||
def is_tmdb_configured(self):
|
||||
# --- HELPERS ---
|
||||
def is_tmdb_configured(self) -> bool:
|
||||
return bool(self.tmdb_api_key)
|
||||
|
||||
def is_deepseek_configured(self):
|
||||
def is_deepseek_configured(self) -> bool:
|
||||
return bool(self.deepseek_api_key)
|
||||
|
||||
def dump_safe(self):
|
||||
return self.model_dump(exclude_none=False)
|
||||
|
||||
|
||||
settings = Settings()
|
||||
|
||||
+29
-11
@@ -9,7 +9,7 @@ services:
|
||||
args:
|
||||
PYTHON_VERSION: ${PYTHON_VERSION}
|
||||
PYTHON_VERSION_SHORT: ${PYTHON_VERSION_SHORT}
|
||||
RUNNER: ${RUNNER}
|
||||
UV_VERSION: ${UV_VERSION}
|
||||
command: python scripts/bootstrap.py
|
||||
networks:
|
||||
- alfred-net
|
||||
@@ -23,13 +23,15 @@ services:
|
||||
args:
|
||||
PYTHON_VERSION: ${PYTHON_VERSION}
|
||||
PYTHON_VERSION_SHORT: ${PYTHON_VERSION_SHORT}
|
||||
RUNNER: ${RUNNER}
|
||||
UV_VERSION: ${UV_VERSION}
|
||||
depends_on:
|
||||
alfred-init:
|
||||
condition: service_completed_successfully
|
||||
restart: unless-stopped
|
||||
env_file:
|
||||
- path: .env
|
||||
- path: .env.alfred
|
||||
required: true
|
||||
- path: .env.secrets
|
||||
required: true
|
||||
volumes:
|
||||
- ./data:/data
|
||||
@@ -52,7 +54,11 @@ services:
|
||||
condition: service_healthy
|
||||
restart: unless-stopped
|
||||
env_file:
|
||||
- path: .env
|
||||
- path: .env.librechat
|
||||
required: true
|
||||
- path: .env.alfred
|
||||
required: true
|
||||
- path: .env.secrets
|
||||
required: true
|
||||
environment:
|
||||
# Remap value name
|
||||
@@ -78,7 +84,9 @@ services:
|
||||
alfred-init:
|
||||
condition: service_completed_successfully
|
||||
env_file:
|
||||
- path: .env
|
||||
- path: .env.alfred
|
||||
required: true
|
||||
- path: .env.secrets
|
||||
required: true
|
||||
environment:
|
||||
# Remap value name
|
||||
@@ -107,7 +115,9 @@ services:
|
||||
condition: service_completed_successfully
|
||||
restart: unless-stopped
|
||||
env_file:
|
||||
- path: .env
|
||||
- path: .env.alfred
|
||||
required: true
|
||||
- path: .env.secrets
|
||||
required: true
|
||||
volumes:
|
||||
- ./data/ollama:/root/.ollama
|
||||
@@ -124,7 +134,9 @@ services:
|
||||
condition: service_completed_successfully
|
||||
restart: unless-stopped
|
||||
env_file:
|
||||
- path: .env
|
||||
- path: .env.alfred
|
||||
required: true
|
||||
- path: .env.secrets
|
||||
required: true
|
||||
volumes:
|
||||
- ./data/meilisearch:/meili_data
|
||||
@@ -143,7 +155,9 @@ services:
|
||||
condition: service_healthy
|
||||
restart: unless-stopped
|
||||
env_file:
|
||||
- path: .env
|
||||
- path: .env.alfred
|
||||
required: true
|
||||
- path: .env.secrets
|
||||
required: true
|
||||
ports:
|
||||
- "${RAG_API_PORT}:${RAG_API_PORT}"
|
||||
@@ -162,7 +176,9 @@ services:
|
||||
condition: service_completed_successfully
|
||||
restart: unless-stopped
|
||||
env_file:
|
||||
- path: .env
|
||||
- path: .env.alfred
|
||||
required: true
|
||||
- path: .env.secrets
|
||||
required: true
|
||||
ports:
|
||||
- "${POSTGRES_PORT}:${POSTGRES_PORT}"
|
||||
@@ -170,7 +186,7 @@ services:
|
||||
- ./data/vectordb:/var/lib/postgresql/data
|
||||
profiles: ["rag", "full"]
|
||||
healthcheck:
|
||||
test: [ "CMD-SHELL", "pg_isready -U $${POSTGRES_USER} -d $${POSTGRES_DB_NAME}" ]
|
||||
test: [ "CMD-SHELL", "pg_isready -U $${POSTGRES_USER:-alfred} -d $${POSTGRES_DB_NAME:-alfred}" ]
|
||||
interval: 5s
|
||||
timeout: 5s
|
||||
retries: 5
|
||||
@@ -188,7 +204,9 @@ services:
|
||||
condition: service_completed_successfully
|
||||
restart: unless-stopped
|
||||
env_file:
|
||||
- path: .env
|
||||
- path: .env.alfred
|
||||
required: true
|
||||
- path: .env.secrets
|
||||
required: true
|
||||
environment:
|
||||
- PUID=1000
|
||||
|
||||
@@ -9,10 +9,6 @@ net:
|
||||
storage:
|
||||
dbPath: /data/db
|
||||
|
||||
# Security settings
|
||||
security:
|
||||
authorization: enabled
|
||||
|
||||
# System log settings
|
||||
systemLog:
|
||||
destination: file
|
||||
|
||||
Generated
-1221
File diff suppressed because it is too large
Load Diff
+51
-34
@@ -1,50 +1,67 @@
|
||||
[tool.poetry]
|
||||
[project]
|
||||
name = "alfred"
|
||||
version = "0.1.7"
|
||||
description = "AI agent for managing a local media library"
|
||||
authors = ["Francwa <francois.hodiaumont@gmail.com>"]
|
||||
readme = "README.md"
|
||||
package-mode = false
|
||||
requires-python = "==3.14.3"
|
||||
dependencies = [
|
||||
"python-dotenv~=1.0.0",
|
||||
"requests~=2.32.5",
|
||||
"fastapi~=0.127.1",
|
||||
"pydantic~=2.12.4",
|
||||
"uvicorn~=0.40.0",
|
||||
"httpx~=0.28.1",
|
||||
"pydantic-settings~=2.12.0",
|
||||
"click~=8.1",
|
||||
]
|
||||
|
||||
[tool.alfred.settings]
|
||||
[tool.alfred]
|
||||
image_name = "alfred_media_organizer"
|
||||
librechat_version = "v0.8.1"
|
||||
rag_version = "v0.7.0"
|
||||
runner = "poetry"
|
||||
librechat_version = "v0.8.4"
|
||||
rag_version = "v0.7.3"
|
||||
service_name = "alfred"
|
||||
uv_version = "0.11.6"
|
||||
|
||||
[tool.alfred.security]
|
||||
jwt_secret = "32:b64"
|
||||
jwt_refresh_secret = "32:b64"
|
||||
creds_key = "32:b64"
|
||||
creds_iv = "16:b64"
|
||||
meili_master_key = "32:b64"
|
||||
mongo_password = "16:hex"
|
||||
postgres_password = "16:hex"
|
||||
qbittorrent_password = "16:hex"
|
||||
[tool.alfred.secrets]
|
||||
JWT_SECRET = "32:hex"
|
||||
JWT_REFRESH_SECRET = "32:hex"
|
||||
CREDS_KEY = "32:hex"
|
||||
CREDS_IV = "16:hex"
|
||||
MEILI_MASTER_KEY = "32:b64"
|
||||
MONGO_PASSWORD = "16:hex"
|
||||
POSTGRES_PASSWORD = "16:hex"
|
||||
QBITTORRENT_PASSWORD = "16:hex"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "==3.14.2"
|
||||
python-dotenv = "^1.0.0"
|
||||
requests = "^2.32.5"
|
||||
fastapi = "^0.127.1"
|
||||
pydantic = "^2.12.4"
|
||||
uvicorn = "^0.40.0"
|
||||
pytest-xdist = "^3.8.0"
|
||||
httpx = "^0.28.1"
|
||||
pydantic-settings = "^2.12.0"
|
||||
[tool.alfred.config.pattern]
|
||||
type = "multi"
|
||||
patterns = [
|
||||
"^#[=\\-*#]{3,}#?\\s*$",
|
||||
"^#\\s+(.+?)\\s+#\\s*$",
|
||||
"^#[=\\-*#]{3,}#?\\s*$",
|
||||
]
|
||||
|
||||
[tool.alfred.config]
|
||||
extra_fields = []
|
||||
|
||||
[tool.uv]
|
||||
package = false
|
||||
|
||||
[dependency-groups]
|
||||
dev = [
|
||||
"pytest~=8.0.0",
|
||||
"pytest-cov~=4.1.0",
|
||||
"pytest-asyncio~=0.23.0",
|
||||
"pytest-xdist~=3.8.0",
|
||||
"ruff~=0.14.7",
|
||||
"pre-commit~=4.5.1",
|
||||
"bump-my-version~=1.2.5",
|
||||
]
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
pytest = "^8.0.0"
|
||||
pytest-cov = "^4.1.0"
|
||||
pytest-asyncio = "^0.23.0"
|
||||
ruff = "^0.14.7"
|
||||
pre-commit = "^4.5.1"
|
||||
bump-my-version = "^1.2.5"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
requires = ["hatchling"]
|
||||
build-backend = "hatchling.build"
|
||||
|
||||
[tool.pytest.ini_options]
|
||||
# Chemins où pytest cherche les tests
|
||||
|
||||
+121
-211
@@ -1,239 +1,149 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Bootstrap script - generates .env.alfred, .env.librechat, .env.secrets and .env.make."""
|
||||
|
||||
import re
|
||||
import secrets
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
import tomllib
|
||||
from config_loader import load_build_config, write_env_make
|
||||
|
||||
BASE_DIR = Path(__file__).resolve().parent.parent
|
||||
|
||||
def load_secrets_spec(toml_data: dict) -> dict[str, tuple[int, str]]:
|
||||
"""Load secrets spec from pyproject.toml [tool.alfred.secrets]."""
|
||||
raw = toml_data.get("tool", {}).get("alfred", {}).get("secrets", {})
|
||||
result = {}
|
||||
for key, rule in raw.items():
|
||||
size_str, fmt = rule.split(":")
|
||||
result[key] = (int(size_str), fmt)
|
||||
return result
|
||||
|
||||
|
||||
def generate_secret(rule: str) -> str:
|
||||
"""
|
||||
Generates a cryptographically secure secret based on a spec string.
|
||||
Example specs: '32:b64', '16:hex'.
|
||||
"""
|
||||
chunks: list[str] = rule.split(":")
|
||||
size: int = int(chunks[0])
|
||||
tech: str = chunks[1]
|
||||
|
||||
if tech == "b64":
|
||||
return secrets.token_urlsafe(size)
|
||||
elif tech == "hex":
|
||||
def generate_secret(size: int, fmt: str) -> str:
|
||||
match fmt:
|
||||
case "hex":
|
||||
return secrets.token_hex(size)
|
||||
case "b64":
|
||||
return secrets.token_urlsafe(size)
|
||||
case _:
|
||||
raise ValueError(f"Unknown format: {fmt}")
|
||||
|
||||
|
||||
def load_env_file(path: Path) -> dict[str, str]:
|
||||
"""Load key=value pairs from an env file, ignoring comments and blanks."""
|
||||
result = {}
|
||||
if not path.exists():
|
||||
return result
|
||||
for line in path.read_text().splitlines():
|
||||
stripped = line.strip()
|
||||
if stripped and not stripped.startswith("#") and "=" in stripped:
|
||||
key, _, value = stripped.partition("=")
|
||||
result[key.strip()] = value.strip()
|
||||
return result
|
||||
|
||||
|
||||
def copy_example_if_missing(src: Path, dst: Path, label: str) -> None:
|
||||
"""Copy src to dst only if dst doesn't exist yet."""
|
||||
if dst.exists():
|
||||
print(f" ↻ {dst.name} already exists, skipping")
|
||||
return
|
||||
if not src.exists():
|
||||
print(f" ⚠ {label} example not found at {src} — skipping (add it manually)")
|
||||
return
|
||||
dst.write_text(src.read_text())
|
||||
print(f" + {dst.name} created from {src.name}")
|
||||
|
||||
|
||||
def generate_secrets_file(path: Path, secrets_spec: dict[str, tuple[int, str]]) -> None:
|
||||
"""Generate .env.secrets with missing secrets, never overwrite existing ones."""
|
||||
existing = load_env_file(path)
|
||||
lines = list(path.read_text().splitlines()) if path.exists() else [
|
||||
"# Auto-generated secrets — DO NOT COMMIT",
|
||||
"# Run 'make bootstrap' to generate missing secrets",
|
||||
"",
|
||||
]
|
||||
|
||||
added = []
|
||||
for key, (size, fmt) in secrets_spec.items():
|
||||
if key not in existing:
|
||||
value = generate_secret(size, fmt)
|
||||
lines.append(f"{key}={value}")
|
||||
added.append(key)
|
||||
|
||||
path.write_text("\n".join(lines) + "\n")
|
||||
|
||||
if added:
|
||||
print(f" + Generated: {', '.join(added)}")
|
||||
else:
|
||||
raise ValueError(f"Invalid security format: {tech}")
|
||||
print(" ↻ All secrets already exist, nothing generated")
|
||||
|
||||
|
||||
def extract_python_version(version_string: str) -> tuple[str, str]:
|
||||
"""
|
||||
Extract Python version from poetry dependency string.
|
||||
Examples:
|
||||
"==3.14.2" -> ("3.14.2", "3.14")
|
||||
"^3.14.2" -> ("3.14.2", "3.14")
|
||||
"~3.14.2" -> ("3.14.2", "3.14")
|
||||
"3.14.2" -> ("3.14.2", "3.14")
|
||||
"""
|
||||
import re # noqa: PLC0415
|
||||
|
||||
# Remove poetry version operators (==, ^, ~, >=, etc.)
|
||||
clean_version = re.sub(r"^[=^~><]+", "", version_string.strip())
|
||||
|
||||
# Extract version parts
|
||||
parts = clean_version.split(".")
|
||||
|
||||
clean = re.sub(r"^[=^~><]+", "", version_string.strip())
|
||||
parts = clean.split(".")
|
||||
if len(parts) >= 2:
|
||||
full_version = clean_version
|
||||
short_version = f"{parts[0]}.{parts[1]}"
|
||||
return full_version, short_version
|
||||
else:
|
||||
raise ValueError(f"Invalid Python version format: {version_string}")
|
||||
return clean, f"{parts[0]}.{parts[1]}"
|
||||
raise ValueError(f"Invalid Python version: {version_string}")
|
||||
|
||||
|
||||
# TODO: Refactor
|
||||
def bootstrap(): # noqa: PLR0912, PLR0915
|
||||
"""
|
||||
Initializes the .env file by merging .env.example with generated secrets
|
||||
and build variables from pyproject.toml.
|
||||
Also generates .env.make for Makefile.
|
||||
def write_env_make(toml_data: dict) -> None:
|
||||
"""Write .env.make from pyproject.toml."""
|
||||
project = toml_data["project"]
|
||||
alfred = toml_data["tool"]["alfred"]
|
||||
|
||||
ALWAYS preserves existing secrets!
|
||||
"""
|
||||
base_dir = Path(__file__).resolve().parent.parent
|
||||
env_path = base_dir / ".env"
|
||||
python_full, python_short = extract_python_version(project["requires-python"])
|
||||
|
||||
example_path = base_dir / ".env.example"
|
||||
if not example_path.exists():
|
||||
print(f"❌ {example_path.name} not found.")
|
||||
return
|
||||
lines = [
|
||||
"# Auto-generated from pyproject.toml — do not edit manually",
|
||||
f"export ALFRED_VERSION={project['version']}",
|
||||
f"export PYTHON_VERSION={python_full}",
|
||||
f"export PYTHON_VERSION_SHORT={python_short}",
|
||||
f"export IMAGE_NAME={alfred['image_name']}",
|
||||
f"export SERVICE_NAME={alfred['service_name']}",
|
||||
f"export LIBRECHAT_VERSION={alfred['librechat_version']}",
|
||||
f"export RAG_VERSION={alfred['rag_version']}",
|
||||
f"export UV_VERSION={alfred['uv_version']}",
|
||||
]
|
||||
|
||||
toml_path = base_dir / "pyproject.toml"
|
||||
env_make_path = BASE_DIR / ".env.make"
|
||||
env_make_path.write_text("\n".join(lines) + "\n")
|
||||
print(f" + {env_make_path.name} written")
|
||||
|
||||
|
||||
def main() -> int:
|
||||
print("🚀 Starting bootstrap...")
|
||||
|
||||
toml_path = BASE_DIR / "pyproject.toml"
|
||||
if not toml_path.exists():
|
||||
print(f"❌ {toml_path.name} not found.")
|
||||
return
|
||||
print(f"❌ pyproject.toml not found: {toml_path}")
|
||||
return 1
|
||||
|
||||
# ALWAYS load existing .env if it exists
|
||||
existing_env = {}
|
||||
if env_path.exists():
|
||||
print("🔄 Reading existing .env...")
|
||||
with open(env_path) as f:
|
||||
for line in f:
|
||||
if "=" in line and not line.strip().startswith("#"):
|
||||
key, value = line.split("=", 1)
|
||||
existing_env[key.strip()] = value.strip()
|
||||
print(f" Found {len(existing_env)} existing keys")
|
||||
print("🔧 Updating .env file (keeping secrets)...")
|
||||
else:
|
||||
print("🔧 Initializing: Creating secure .env file...")
|
||||
|
||||
# Load data from pyproject.toml
|
||||
with open(toml_path, "rb") as f:
|
||||
data = tomllib.load(f)
|
||||
security_keys = data["tool"]["alfred"]["security"]
|
||||
settings_keys = data["tool"]["alfred"]["settings"]
|
||||
dependencies = data["tool"]["poetry"]["dependencies"]
|
||||
alfred_version = data["tool"]["poetry"]["version"]
|
||||
toml_data = tomllib.load(f)
|
||||
|
||||
# Normalize TOML keys to UPPER_CASE for .env format (done once)
|
||||
security_keys_upper = {k.upper(): v for k, v in security_keys.items()}
|
||||
settings_keys_upper = {k.upper(): v for k, v in settings_keys.items()}
|
||||
|
||||
# Extract Python version
|
||||
python_version_full, python_version_short = extract_python_version(
|
||||
dependencies["python"]
|
||||
print("\n📄 Env files:")
|
||||
copy_example_if_missing(
|
||||
src=BASE_DIR / ".env.example",
|
||||
dst=BASE_DIR / ".env.alfred",
|
||||
label="Alfred",
|
||||
)
|
||||
copy_example_if_missing(
|
||||
src=BASE_DIR / "librechat" / ".env.example",
|
||||
dst=BASE_DIR / ".env.librechat",
|
||||
label="LibreChat",
|
||||
)
|
||||
|
||||
# Read .env.example
|
||||
with open(example_path) as f:
|
||||
example_lines = f.readlines()
|
||||
secrets_spec = load_secrets_spec(toml_data)
|
||||
print("\n🔐 Secrets:")
|
||||
generate_secrets_file(BASE_DIR / ".env.secrets", secrets_spec)
|
||||
|
||||
new_lines = []
|
||||
# Process each line from .env.example
|
||||
for raw_line in example_lines:
|
||||
line = raw_line.strip()
|
||||
print("\n🔧 Build config:")
|
||||
write_env_make(toml_data)
|
||||
|
||||
if line and not line.startswith("#") and "=" in line:
|
||||
key, value = line.split("=", 1)
|
||||
key = key.strip()
|
||||
|
||||
# Check if key exists in current .env (update mode)
|
||||
if key in existing_env:
|
||||
# Keep existing value for secrets
|
||||
if key in security_keys_upper:
|
||||
new_lines.append(f"{key}={existing_env[key]}\n")
|
||||
print(f" ↻ Kept existing {key}")
|
||||
# Update build vars from pyproject.toml
|
||||
elif key in settings_keys_upper:
|
||||
new_value = settings_keys_upper[key]
|
||||
if existing_env[key] != new_value:
|
||||
new_lines.append(f"{key}={new_value}\n")
|
||||
print(f" ↻ Updated {key}: {existing_env[key]} → {new_value}")
|
||||
else:
|
||||
new_lines.append(f"{key}={existing_env[key]}\n")
|
||||
print(f" ↻ Kept {key}={existing_env[key]}")
|
||||
# Update Python versions
|
||||
elif key == "PYTHON_VERSION":
|
||||
if existing_env[key] != python_version_full:
|
||||
new_lines.append(f"{key}={python_version_full}\n")
|
||||
print(
|
||||
f" ↻ Updated Python: {existing_env[key]} → {python_version_full}"
|
||||
)
|
||||
else:
|
||||
new_lines.append(f"{key}={existing_env[key]}\n")
|
||||
print(f" ↻ Kept Python: {existing_env[key]}")
|
||||
elif key == "PYTHON_VERSION_SHORT":
|
||||
if existing_env[key] != python_version_short:
|
||||
new_lines.append(f"{key}={python_version_short}\n")
|
||||
print(
|
||||
f" ↻ Updated Python (short): {existing_env[key]} → {python_version_short}"
|
||||
)
|
||||
else:
|
||||
new_lines.append(f"{key}={existing_env[key]}\n")
|
||||
print(f" ↻ Kept Python (short): {existing_env[key]}")
|
||||
elif key == "ALFRED_VERSION":
|
||||
if existing_env.get(key) != alfred_version:
|
||||
new_lines.append(f"{key}={alfred_version}\n")
|
||||
print(
|
||||
f" ↻ Updated Alfred version: {existing_env.get(key, 'N/A')} → {alfred_version}"
|
||||
)
|
||||
else:
|
||||
new_lines.append(f"{key}={alfred_version}\n")
|
||||
print(f" ↻ Kept Alfred version: {alfred_version}")
|
||||
# Keep other existing values
|
||||
else:
|
||||
new_lines.append(f"{key}={existing_env[key]}\n")
|
||||
# Key doesn't exist, generate/add it
|
||||
elif key in security_keys_upper:
|
||||
rule = security_keys_upper[key]
|
||||
secret = generate_secret(rule)
|
||||
new_lines.append(f"{key}={secret}\n")
|
||||
print(f" + Secret generated for {key} ({rule})")
|
||||
elif key in settings_keys_upper:
|
||||
value = settings_keys_upper[key]
|
||||
new_lines.append(f"{key}={value}\n")
|
||||
print(f" + Setting added: {key}={value}")
|
||||
elif key == "PYTHON_VERSION":
|
||||
new_lines.append(f"{key}={python_version_full}\n")
|
||||
print(f" + Python version: {python_version_full}")
|
||||
elif key == "PYTHON_VERSION_SHORT":
|
||||
new_lines.append(f"{key}={python_version_short}\n")
|
||||
print(f" + Python version (short): {python_version_short}")
|
||||
elif key == "ALFRED_VERSION":
|
||||
new_lines.append(f"{key}={alfred_version}\n")
|
||||
print(f" + Alfred version: {alfred_version}")
|
||||
else:
|
||||
new_lines.append(raw_line)
|
||||
else:
|
||||
# Keep comments and empty lines
|
||||
new_lines.append(raw_line)
|
||||
|
||||
# Compute database URIs from the generated values
|
||||
final_env = {}
|
||||
for line in new_lines:
|
||||
if "=" in line and not line.strip().startswith("#"):
|
||||
key, value = line.split("=", 1)
|
||||
final_env[key.strip()] = value.strip()
|
||||
|
||||
# Compute MONGO_URI
|
||||
if "MONGO_USER" in final_env and "MONGO_PASSWORD" in final_env:
|
||||
mongo_uri = (
|
||||
f"mongodb://{final_env.get('MONGO_USER', 'alfred')}:"
|
||||
f"{final_env.get('MONGO_PASSWORD', '')}@"
|
||||
f"{final_env.get('MONGO_HOST', 'mongodb')}:"
|
||||
f"{final_env.get('MONGO_PORT', '27017')}/"
|
||||
f"{final_env.get('MONGO_DB_NAME', 'alfred')}?authSource=admin"
|
||||
)
|
||||
# Update MONGO_URI in new_lines
|
||||
for i, line in enumerate(new_lines):
|
||||
if line.startswith("MONGO_URI="):
|
||||
new_lines[i] = f"MONGO_URI={mongo_uri}\n"
|
||||
print(" ✓ Computed MONGO_URI")
|
||||
break
|
||||
|
||||
# Compute POSTGRES_URI
|
||||
if "POSTGRES_USER" in final_env and "POSTGRES_PASSWORD" in final_env:
|
||||
postgres_uri = (
|
||||
f"postgresql://{final_env.get('POSTGRES_USER', 'alfred')}:"
|
||||
f"{final_env.get('POSTGRES_PASSWORD', '')}@"
|
||||
f"{final_env.get('POSTGRES_HOST', 'vectordb')}:"
|
||||
f"{final_env.get('POSTGRES_PORT', '5432')}/"
|
||||
f"{final_env.get('POSTGRES_DB_NAME', 'alfred')}"
|
||||
)
|
||||
# Update POSTGRES_URI in new_lines
|
||||
for i, line in enumerate(new_lines):
|
||||
if line.startswith("POSTGRES_URI="):
|
||||
new_lines[i] = f"POSTGRES_URI={postgres_uri}\n"
|
||||
print(" ✓ Computed POSTGRES_URI")
|
||||
break
|
||||
|
||||
# Write .env file
|
||||
with open(env_path, "w", encoding="utf-8") as f:
|
||||
f.writelines(new_lines)
|
||||
print(f"\n✅ {env_path.name} generated successfully.")
|
||||
|
||||
# Generate .env.make for Makefile using shared config loader
|
||||
config = load_build_config(base_dir)
|
||||
write_env_make(config, base_dir)
|
||||
print("✅ .env.make generated for Makefile.")
|
||||
print("\n⚠️ Reminder: Please manually add your API keys to the .env file.")
|
||||
print("\n✅ Bootstrap complete!")
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
bootstrap()
|
||||
sys.exit(main())
|
||||
|
||||
+31
-36
@@ -1,4 +1,4 @@
|
||||
"""Shared configuration loader for bootstrap and CI."""
|
||||
"""Shared configuration loader — reads build config from pyproject.toml."""
|
||||
|
||||
import re
|
||||
from pathlib import Path
|
||||
@@ -13,30 +13,24 @@ class BuildConfig(NamedTuple):
|
||||
alfred_version: str
|
||||
python_version: str
|
||||
python_version_short: str
|
||||
runner: str
|
||||
image_name: str
|
||||
service_name: str
|
||||
librechat_version: str
|
||||
rag_version: str
|
||||
uv_version: str
|
||||
|
||||
|
||||
def extract_python_version(version_string: str) -> tuple[str, str]:
|
||||
"""
|
||||
Extract Python version from poetry dependency string.
|
||||
Extract Python version from uv dependency string.
|
||||
Examples:
|
||||
"==3.14.2" -> ("3.14.2", "3.14")
|
||||
"^3.14.2" -> ("3.14.2", "3.14")
|
||||
"~3.14.2" -> ("3.14.2", "3.14")
|
||||
"3.14.2" -> ("3.14.2", "3.14")
|
||||
"""
|
||||
clean_version = re.sub(r"^[=^~><]+", "", version_string.strip())
|
||||
parts = clean_version.split(".")
|
||||
|
||||
clean = re.sub(r"^[=^~><]+", "", version_string.strip())
|
||||
parts = clean.split(".")
|
||||
if len(parts) >= 2:
|
||||
full_version = clean_version
|
||||
short_version = f"{parts[0]}.{parts[1]}"
|
||||
return full_version, short_version
|
||||
else:
|
||||
return clean, f"{parts[0]}.{parts[1]}"
|
||||
raise ValueError(f"Invalid Python version format: {version_string}")
|
||||
|
||||
|
||||
@@ -51,23 +45,21 @@ def load_build_config(base_dir: Path | None = None) -> BuildConfig:
|
||||
|
||||
with open(toml_path, "rb") as f:
|
||||
data = tomllib.load(f)
|
||||
settings_keys = data["tool"]["alfred"]["settings"]
|
||||
dependencies = data["tool"]["poetry"]["dependencies"]
|
||||
alfred_version = data["tool"]["poetry"]["version"]
|
||||
|
||||
python_version_full, python_version_short = extract_python_version(
|
||||
dependencies["python"]
|
||||
)
|
||||
project = data["project"]
|
||||
alfred = data["tool"]["alfred"]
|
||||
|
||||
python_full, python_short = extract_python_version(project["requires-python"])
|
||||
|
||||
return BuildConfig(
|
||||
alfred_version=alfred_version,
|
||||
python_version=python_version_full,
|
||||
python_version_short=python_version_short,
|
||||
runner=settings_keys["runner"],
|
||||
image_name=settings_keys["image_name"],
|
||||
service_name=settings_keys["service_name"],
|
||||
librechat_version=settings_keys["librechat_version"],
|
||||
rag_version=settings_keys["rag_version"],
|
||||
alfred_version=project["version"],
|
||||
python_version=python_full,
|
||||
python_version_short=python_short,
|
||||
image_name=alfred["image_name"],
|
||||
service_name=alfred["service_name"],
|
||||
librechat_version=alfred["librechat_version"],
|
||||
rag_version=alfred["rag_version"],
|
||||
uv_version=alfred["uv_version"],
|
||||
)
|
||||
|
||||
|
||||
@@ -76,14 +68,17 @@ def write_env_make(config: BuildConfig, base_dir: Path | None = None) -> None:
|
||||
if base_dir is None:
|
||||
base_dir = Path(__file__).resolve().parent.parent
|
||||
|
||||
lines = [
|
||||
"# Auto-generated from pyproject.toml — do not edit manually",
|
||||
f"export ALFRED_VERSION={config.alfred_version}",
|
||||
f"export PYTHON_VERSION={config.python_version}",
|
||||
f"export PYTHON_VERSION_SHORT={config.python_version_short}",
|
||||
f"export IMAGE_NAME={config.image_name}",
|
||||
f"export SERVICE_NAME={config.service_name}",
|
||||
f"export LIBRECHAT_VERSION={config.librechat_version}",
|
||||
f"export RAG_VERSION={config.rag_version}",
|
||||
f"export UV_VERSION={config.uv_version}",
|
||||
]
|
||||
|
||||
env_make_path = base_dir / ".env.make"
|
||||
with open(env_make_path, "w", encoding="utf-8") as f:
|
||||
f.write("# Auto-generated from pyproject.toml\n")
|
||||
f.write(f"export ALFRED_VERSION={config.alfred_version}\n")
|
||||
f.write(f"export PYTHON_VERSION={config.python_version}\n")
|
||||
f.write(f"export PYTHON_VERSION_SHORT={config.python_version_short}\n")
|
||||
f.write(f"export RUNNER={config.runner}\n")
|
||||
f.write(f"export IMAGE_NAME={config.image_name}\n")
|
||||
f.write(f"export SERVICE_NAME={config.service_name}\n")
|
||||
f.write(f"export LIBRECHAT_VERSION={config.librechat_version}\n")
|
||||
f.write(f"export RAG_VERSION={config.rag_version}\n")
|
||||
env_make_path.write_text("\n".join(lines) + "\n")
|
||||
|
||||
@@ -0,0 +1,779 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = "==3.14.3"
|
||||
|
||||
[[package]]
|
||||
name = "alfred"
|
||||
version = "0.1.7"
|
||||
source = { virtual = "." }
|
||||
dependencies = [
|
||||
{ name = "click" },
|
||||
{ name = "fastapi" },
|
||||
{ name = "httpx" },
|
||||
{ name = "pydantic" },
|
||||
{ name = "pydantic-settings" },
|
||||
{ name = "python-dotenv" },
|
||||
{ name = "requests" },
|
||||
{ name = "uvicorn" },
|
||||
]
|
||||
|
||||
[package.dev-dependencies]
|
||||
dev = [
|
||||
{ name = "bump-my-version" },
|
||||
{ name = "pre-commit" },
|
||||
{ name = "pytest" },
|
||||
{ name = "pytest-asyncio" },
|
||||
{ name = "pytest-cov" },
|
||||
{ name = "pytest-xdist" },
|
||||
{ name = "ruff" },
|
||||
]
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "click", specifier = "~=8.1" },
|
||||
{ name = "fastapi", specifier = "~=0.127.1" },
|
||||
{ name = "httpx", specifier = "~=0.28.1" },
|
||||
{ name = "pydantic", specifier = "~=2.12.4" },
|
||||
{ name = "pydantic-settings", specifier = "~=2.12.0" },
|
||||
{ name = "python-dotenv", specifier = "~=1.0.0" },
|
||||
{ name = "requests", specifier = "~=2.32.5" },
|
||||
{ name = "uvicorn", specifier = "~=0.40.0" },
|
||||
]
|
||||
|
||||
[package.metadata.requires-dev]
|
||||
dev = [
|
||||
{ name = "bump-my-version", specifier = "~=1.2.5" },
|
||||
{ name = "pre-commit", specifier = "~=4.5.1" },
|
||||
{ name = "pytest", specifier = "~=8.0.0" },
|
||||
{ name = "pytest-asyncio", specifier = "~=0.23.0" },
|
||||
{ name = "pytest-cov", specifier = "~=4.1.0" },
|
||||
{ name = "pytest-xdist", specifier = "~=3.8.0" },
|
||||
{ name = "ruff", specifier = "~=0.14.7" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "annotated-doc"
|
||||
version = "0.0.4"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4", size = 7288, upload-time = "2025-11-10T22:07:42.062Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/1e/d3/26bf1008eb3d2daa8ef4cacc7f3bfdc11818d111f7e2d0201bc6e3b49d45/annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320", size = 5303, upload-time = "2025-11-10T22:07:40.673Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "annotated-types"
|
||||
version = "0.7.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "anyio"
|
||||
version = "4.13.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "idna" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/19/14/2c5dd9f512b66549ae92767a9c7b330ae88e1932ca57876909410251fe13/anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc", size = 231622, upload-time = "2026-03-24T12:59:09.671Z" }
|
||||
wheels = [
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||||
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Reference in New Issue
Block a user