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Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
AI Observability & Evaluation
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Lightweight Claude Code statusLine: 5h/7d rate-limit usage, reset countdowns, model + context window, prompt-cache age — one line, 3 styles × 9 themes, daemon fast-mode
Datalogger for MicroPython and CPython.
Catch your AI agents when they lie about what they shipped — verifies claims against git instead of believing the agent.
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.