RagaAI-Catalyst
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
Manage and optimize your AI projects with tools for evaluation, dataset handling, and performance tracking.
From the README
pip install ragaai-catalyst
- LLM interactions and token usage
- Tool utilization and execution patterns
- Network activities and API calls
- User interactions and feedback
- Agent decision-making processes
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimePython 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
RagaAI-Catalyst has 16.2k stars on GitHub. It has been forked 3.6k times. RagaAI-Catalyst is written mainly in Python. It has been in active development since 2024. RagaAI-Catalyst is available under the Apache-2.0 license. Its main topics are agentic-ai, agentic-ai-development, agentneo, agents.
What is RagaAI-Catalyst?
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
Is RagaAI-Catalyst open source?
RagaAI-Catalyst is an open-source project. It is released under the Apache-2.0 license.
Is RagaAI-Catalyst free?
Yes. RagaAI-Catalyst is free and open source — you can use, modify and self-host it.
What license does RagaAI-Catalyst use?
RagaAI-Catalyst is available under the Apache-2.0 license.
What language is RagaAI-Catalyst written in?
RagaAI-Catalyst is written mainly in Python.
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