llms.txt Content
# Observee
## Docs
- [Chat Interface](https://docs.observee.ai/agentsdk/chat.md): AI conversations with tool access - both standard and streaming
- [Configuration](https://docs.observee.ai/agentsdk/configuration.md): Configuration options for the Observee Agents SDK
- [Installation](https://docs.observee.ai/agentsdk/installation.md)
- [Overview](https://docs.observee.ai/agentsdk/overview.md): Seamless integration of MCP (Model Context Protocol) tools with multiple LLM providers.
- [Tool Management](https://docs.observee.ai/agentsdk/tools.md): Discover, filter, and execute tools directly.
- [Authentication](https://docs.observee.ai/authsdk/authentication.md)
- [Installation](https://docs.observee.ai/authsdk/installation.md)
- [Overview](https://docs.observee.ai/authsdk/overview.md)
- [Python Examples](https://docs.observee.ai/examples/python/basic-usage.md): Basic examples for common use cases in Python
- [Tool Usage](https://docs.observee.ai/examples/python/tool-usage.md): Direct tool execution and discovery in Python
- [TypeScript Examples](https://docs.observee.ai/examples/typescript/basic-usage.md): Basic examples for common use cases in TypeScript
- [Tool Usage](https://docs.observee.ai/examples/typescript/tool-usage.md): Direct tool execution and discovery in TypeScript
- [Observee SDK (MCP)](https://docs.observee.ai/index.md): Enterprise-grade MCP integration platform for AI agents
- [Anthropic API](https://docs.observee.ai/integrations/python/anthropic.md): Connect to Observee's MCP server directly using Anthropic's Python SDK
- [CrewAI](https://docs.observee.ai/integrations/python/crewai.md): Build AI agent crews with Observee tools using CrewAI
- [LangChain](https://docs.observee.ai/integrations/python/langchain.md): Connect Observee with LangChain using MCP adapters
- [LangGraph](https://docs.observee.ai/integrations/python/langgraph.md): Build stateful agents with Observee tools using LangGraph
- [OpenAI SDK (Python)](https://docs.observee.ai/integratio