# Raindrop

## Docs

- [Agno (Beta)](https://raindrop.ai/docs/integrations/agno.md): Automatic tracing for Agno agents, teams, and workflows with Raindrop
- [Azure OpenAI (Beta)](https://raindrop.ai/docs/integrations/azure-openai.md): Automatic tracing for Azure OpenAI applications with Raindrop
- [AWS Bedrock (Beta)](https://raindrop.ai/docs/integrations/bedrock.md): Automatic tracing for AWS Bedrock applications with Raindrop
- [Claude Agent SDK (Beta)](https://raindrop.ai/docs/integrations/claude-agent-sdk.md): Automatic tracking for the Claude Agent SDK. Wrap once, then pass eventMetadata() on query() calls to capture events and traces across the session.
- [Claude Code CLI (Beta)](https://raindrop.ai/docs/integrations/claude-code.md): Automatic observability for Claude Code CLI sessions. Install once, then every session, tool call, and prompt is tracked in Raindrop.
- [Claude Managed Agents (Beta)](https://raindrop.ai/docs/integrations/claude-managed-agents.md): Automatic tracking for Claude Managed Agents. Wrap the Anthropic client once to capture events, traces, and tool call spans from managed agent sessions.
- [CrewAI (Beta)](https://raindrop.ai/docs/integrations/crewai.md): Automatic tracing for CrewAI multi-agent crews, tasks, and token usage with Raindrop
- [Deep Agents (Beta)](https://raindrop.ai/docs/integrations/deepagents.md): Automatic tracing for LangChain Deep Agents workflows with Raindrop
- [DSPy (Beta)](https://raindrop.ai/docs/integrations/dspy.md): Automatic tracing for DSPy modules with Raindrop
- [Google ADK](https://raindrop.ai/docs/integrations/google-adk.md): Automatic tracing for Google ADK agents, tools, and multi-step reasoning with Raindrop
- [LangChain (Beta)](https://raindrop.ai/docs/integrations/langchain.md): Automatic tracing for LangChain applications with Raindrop
- [Mastra (Beta)](https://raindrop.ai/docs/integrations/mastra.md): Automatic tracing for Mastra agents with Raindrop
- [OpenAI Agents SDK (Beta)](https://raindrop.ai/docs/integrations/openai-agents.md): Automatic tracing for OpenAI Agents with Raindrop
- [OpenCode (Beta)](https://raindrop.ai/docs/integrations/opencode.md): Integrate Raindrop with OpenCode to automatically capture coding sessions, messages, tool calls, and LLM responses in your dashboard.
- [Overview](https://raindrop.ai/docs/integrations/overview.md): Connect Raindrop with your AI frameworks, cloud providers, and developer tools.
- [Pi Agent (Beta)](https://raindrop.ai/docs/integrations/pi-agent.md): Automatic observability for Pi Agent with Raindrop
- [Pydantic AI (Beta)](https://raindrop.ai/docs/integrations/pydantic-ai.md): Automatic tracing for Pydantic AI agents with Raindrop
- [Strands Agents (Beta)](https://raindrop.ai/docs/integrations/strands.md): Automatic tracing for Strands Agents with Raindrop — captures invocations, model calls, and tool usage via the hook system.
- [Temporal (Beta)](https://raindrop.ai/docs/integrations/temporal.md): Automatic tracing for Temporal workflows and activities with Raindrop
- [Vercel AI SDK](https://raindrop.ai/docs/integrations/vercel-ai-sdk.md): Automatic tracking for the Vercel AI SDK. Wrap once, get events and traces for generateText, streamText, generateObject, and streamObject.
- [Vertex AI (Beta)](https://raindrop.ai/docs/integrations/vertex-ai.md): Automatic tracing for Google Vertex AI / Gen AI applications with Raindrop
- [Introduction](https://raindrop.ai/docs/introduction.md): Raindrop is the monitoring platform for AI agents. Similar to how Sentry tracks errors in your web apps, Raindrop discovers silent agent failures in production.
- [Alerts](https://raindrop.ai/docs/platform/alerts.md): Get notifications when your agents fail
- [Experiments](https://raindrop.ai/docs/platform/experiments.md): A/B test your agents
- [Search](https://raindrop.ai/docs/platform/search.md): Search for any user or agent interaction
- [Self Diagnostics](https://raindrop.ai/docs/platform/self-diagnostics.md): Let your AI agents proactively report their own failures
- [Signals](https://raindrop.ai/docs/platform/signals.md): Signals are ground truth indicators for agent performance.
- [Trajectories](https://raindrop.ai/docs/platform/trajectories.md): Visualize, search, and debug agent traces. See what your agent actually did.
- [API Reference](https://raindrop.ai/docs/query-api/api-reference.md): Explore the Query API endpoints
- [SDK](https://raindrop.ai/docs/query-api/sdk.md): TypeScript and Python SDKs for the Query API
- [Browser (JavaScript)](https://raindrop.ai/docs/sdk/browser.md): Minimal browser-safe SDK for tracking AI events via /v1/events from web apps.
- [Go](https://raindrop.ai/docs/sdk/go.md): The Raindrop SDK allows you to track user events and AI interactions in your app. This documentation provides a brief overview of how to use the Go SDK.
- [HTTP API](https://raindrop.ai/docs/sdk/http-api.md): Here's how you can use the Raindrop API directly, without an SDK
- [Python](https://raindrop.ai/docs/sdk/python.md): The Raindrop SDK allows you to track user events and AI interactions in your app. This documentation provides a brief overview of how to use the Python SDK.
- [TypeScript](https://raindrop.ai/docs/sdk/typescript.md): The Raindrop SDK allows you to track user events and AI interactions in your app. This documentation provides a brief overview of how to use the TypeScript SDK.
- [Data Security and Privacy](https://raindrop.ai/docs/security/data-security-and-privacy.md): Raindrop's Commitment to Data Security and Privacy
- [Privacy and PII Redaction](https://raindrop.ai/docs/security/pii-redaction.md): Maintain deep observability while maintaining the privacy of your user's conversations
- [Privacy Policy](https://raindrop.ai/docs/security/privacy-policy.md)
- [Terms of Use](https://raindrop.ai/docs/security/terms-of-use.md)
- [Support](https://raindrop.ai/docs/support.md): Get help from the Raindrop team

## OpenAPI Specs

- [openapi](https://raindrop.ai/docs/api-reference/openapi.json)