Keywords AI (YC W24)

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Respan is an AI Frameworks & Infra tool that unifies LLM observability, evals, prompt optimization, and a unified LLM gateway. It helps developers ship reliable AI applications with confidence.

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At a glance

Pricing

Freemium

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Keywords AI (YC W24)?

Respan, formerly Keywords AI, is an LLM engineering platform designed to streamline the development and deployment of reliable AI applications. It offers a comprehensive suite of features including LLM observability, automated evaluations (evals), prompt optimization, and a unified LLM gateway. The platform allows developers to trace, log, and evaluate agent behavior, identify failures, and understand the impact of prompt or model changes. Respan supports over 500 models and integrates with popular frameworks like OpenAI, Anthropic, LangChain, and LlamaIndex, enabling teams to monitor, debug, and improve their AI systems efficiently. It is built to add observability without becoming a performance bottleneck, making it suitable for production use.

Best used for

Ideal for developers who need to unify observability, evals, and prompt optimization for their LLM applications, debug agent failures, and manage LLM traffic across 500+ models. Especially valuable for teams building and scaling reliable AI systems in production.

Common actions

monitor LLM performance

evaluate AI models

optimize prompts

manage LLM traffic

debug AI agents

Capabilities

Key features

LLM Observability
Automated Evals
Prompt Optimization
LLM Gateway
Agent Tracing
500+ Model Routing

Target Audience

developer

Integrations

openaianthropiclangchainllama-indexvercel-ai-sdkopenai-agents-sdk

Pricing & Plans

Freemium

Not publicly disclosed. Check keywordsai.co for current pricing.

FAQs

How does Respan help debug agent failures?

Respan provides traces, logs, evals, and workflow-level visibility to help you see what your agent did, where it failed, and which prompt or tool call caused the issue. This allows for direct inspection of failures and a tighter improvement loop.

Will using Respan for tracing impact my product's performance?

No, Respan is designed to add observability without becoming a bottleneck. Tracing is lightweight and built for production use, ensuring minimal latency for end users while monitoring real agent behavior.

What frameworks and providers does Respan support for integration?

Respan supports popular frameworks and providers including OpenAI, Anthropic, LangChain, LlamaIndex, Vercel AI SDK, and OpenAI Agents SDK. It's designed to integrate seamlessly into existing AI stacks without requiring a rebuild.

When should I use Respan's gateway and prompt management features?

Use the Respan gateway and prompt management if you need a single layer to control routing, fallbacks, prompt versions, experiments, and production traffic without constant code redeployment. If you only need observability and evals, you can adopt these features later.

How do evals in Respan help improve model quality?

Evals in Respan measure the quality of model and agent outputs, allowing you to score traces, compare changes, catch regressions, and understand if improvements were made. It also supports online evals for real-time production monitoring.

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This tool also appears in

Coding & Development › DevOps & Infrastructure Coding & Development › Prompt Engineering Coding & Development › Testing & QA

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