Open Source · Observability
Keywords AI
Unify observability, evals, prompt optimization, and your LLM gateway in one platform.
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We have not reviewed Keywords AI yet
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From the listing
About Keywords AI
Keywords AI is an observability platform that consolidates monitoring, evaluations, prompt optimization, and LLM gateway functions into a single interface. It provides developers with unified visibility into LLM application performance and behavior.
Best for
Developers and teams seeking a unified open source observability and optimization tool for LLM applications.
Use cases
- Monitor LLM application latency, token usage, and error rates in real time
- Run automated evaluations to compare prompt and model variants
- Optimize prompts by tracking performance across different configurations
Pros
- Combines multiple observability and optimization tools in one platform
- Reduces context switching by unifying monitoring, evals, and gateway management
- Open source community edition available for self-hosted deployments
Cons
- Community edition may lack advanced features found in paid tiers
- Requires integration setup to connect with existing LLM workflows
- Documentation and community support may be limited compared to larger vendors
Key facts
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Sources
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Changelog
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Pairs with
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LangChain
Various
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A Python SDK and a self-hosted proxy, the LiteLLM AI Gateway, that let apps call more than 100 model providers through one OpenAI-format API, with virtual keys, budgets, fallbacks and spend tracking.
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