Configuration

# Observee Configuration
OBSERVEE_API_KEY=obs_your_api_key_here
OBSERVEE_CLIENT_ID=your_client_id_here  # Optional

# LLM Provider Keys (choose one or more)
ANTHROPIC_API_KEY=your_anthropic_key_here
OPENAI_API_KEY=your_openai_key_here
GOOGLE_API_KEY=your_gemini_key_here

# Tool filtering
MCP_FILTER_TYPE=bm25  # bm25, local_embedding, cloud

# Cloud filtering (if using cloud filter)
PINECONE_API_KEY=your_pinecone_key_here

from observee_agents import chat_with_tools

result = chat_with_tools(
    message="Hello",
    
    # Provider settings
    provider="anthropic",
    model="claude-sonnet-4-20250514",
    
    # Authentication
    observee_api_key="obs_your_key",
    client_id="custom_client_123",
    
    # Tool filtering
    enable_filtering=True,
    filter_type="bm25",
    max_tools=10,
    min_score=7.0,
    
    # Performance
    sync_tools=False,
    
    # LLM parameters
    temperature=0.7,
    max_tokens=1000,
    top_p=0.9
)

result = chat_with_tools(
    message="Hello",
    provider="anthropic",
    model="claude-sonnet-4-20250514",
    temperature=0.7,
    max_tokens=1000,
    top_p=0.9,
    top_k=40
)

result = chat_with_tools(
    message="Hello",
    provider="openai",
    model="gpt-4o",
    temperature=0.7,
    max_tokens=1000,
    top_p=0.9,
    frequency_penalty=0.0,
    presence_penalty=0.0
)

result = chat_with_tools(
    message="Hello",
    provider="gemini",
    model="gemini-2.5-pro",
    temperature=0.7,
    max_tokens=1000,
    top_p=0.9,
    top_k=40
)

result = chat_with_tools(
    message="Gmail email management",
    filter_type="bm25",
    max_tools=5,
    min_score=8.0
)

# Requires: pip install mcp-agents[embedding]
result = chat_with_tools(
    message="Help me be productive",
    filter_type="local_embedding",
    max_tools=10,
    min_score=7.0
)

# Requires: pip install mcp-agents[cloud]
# Requires: PINECONE_API_KEY and OPENAI_API_KEY
result = chat_with_tools(
    message="Complex analytical task",
    filter_type="cloud",
    max_tools=15,
    min_score=6.0
)

result = chat_with_tools(
    message="What can you do?",
    enable_filtering=False  # Uses all available tools
)