.env.example

# Copy to .env and fill values. Do not commit .env.

# Use Python 3.11–3.13 for this project (3.14 breaks Chainlit Socket.IO / asyncio timeouts).

# Chainlit server (default 8000). If you see "address already in use", use another port
# or stop the old process: e.g. CHAINLIT_PORT=8010
# Do not set CHAINLIT_PORT to a blank value (omit the line instead).
CHAINLIT_PORT=8000

# Ollama Cloud (OpenAI-compatible)
OLLAMA_CLOUD_ENABLED=true
OLLAMA_CLOUD_BASE_URL=https://ollama.com/v1
OLLAMA_API_KEY=
OLLAMA_MODEL=gpt-oss:120b
OLLAMA_SUMMARIZE_MODEL=gpt-oss:120b

# Tavily web search
TAVILY_API_KEY=

# LangSmith (optional; set LANGCHAIN_TRACING_V2=true to enable)
LANGCHAIN_TRACING_V2=false
LANGCHAIN_API_KEY=
LANGSMITH_API_KEY=
LANGCHAIN_PROJECT=travel-agent-india
LANGCHAIN_ENDPOINT=https://api.smith.langchain.com

# Persistent checkpoints (optional; leave unset for in-memory only)
# CHECKPOINT_SQLITE_PATH=./data/checkpoints.db

# Long conversation summarization
SUMMARIZE_MAX_MESSAGES=40
SUMMARIZE_MAX_TOKENS_ESTIMATE=12000

# Workspace files on disk (thread_id subfolders)
WORKSPACE_ROOT=data/workspace

# Run research/budget/holiday subagents in parallel (ThreadPoolExecutor)
PARALLEL_SUBAGENTS=true