Overview
LLM engineering platform with observability, evals, prompt optimization, and LLM gateway supporting 1,000+ models.
Pricing
Free
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Use Cases
- Monitor and debug production LLM applications with full visibility into prompts, responses, latency, and failures across providers.
- Continuously evaluate and compare different LLMs or prompt versions to choose the best-performing configuration for your use case.
- Optimize prompts and agent workflows collaboratively, then safely roll out changes with version control and regression tests.
- Use Respan as a single AI gateway to route traffic between vendors, enforce authentication, and manage rate limits and quotas.
- Instrument internal AI copilots to track quality, spot regressions, and justify model or provider changes with data.
Features
Unified LLM observability
Centralized evaluations & testing
Prompt and workflow optimization
Multi-provider AI gateway routing
Versioning and experiment tracking
Guardrails and safety controls
Performance and cost analytics
Developer-friendly APIs & SDKs
Reviews
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FAQ
What is Respan and who is it for?
Respan is a unified LLM engineering platform for observability, evaluations, prompt optimization, and AI gateway services. It is designed for developers, ML engineers, and product teams building AI-powered applications that rely on large language models.
How does Respan integrate with my existing stack?
You connect your applications to Respan via simple APIs or SDKs, and optionally point your LLM traffic through the Respan AI gateway. This lets you add observability, evaluations, and routing without rewriting your core application logic.
Which LLM providers does Respan support?
Respan is built to work with multiple LLM providers and open-source models. You can connect different vendors, compare their performance, and switch or mix them using a single gateway and configuration layer.
Is Respan free to use?
Yes. Respan offers a free tier so individuals and teams can start instrumenting and optimizing their LLM applications at no cost. Usage limits and advanced features may depend on your plan.
How does Respan help with reliability and safety?
Respan improves reliability by giving you deep observability, automated evaluations, regression tests, and controlled rollouts for prompt and model changes. Safety is enhanced through guardrails, policies, and central governance via the AI gateway.