CheckOps
Respan
Respan is an open-source AI gateway with built-in observability and evals that routes calls to 1,000+ models through one API key and traces every call, with paid tiers for logs and scores.
- SaaS
- Free tier
- Paid
- LLM Observability
- Observability
- AI-enabled testing
- LLM Eval
- Production monitoring & observability
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Introduction
Respan is an AI gateway first: one API key for over 1,000 models, OpenAI-compatible endpoints and claimed token discounts. Every call through it is traced, and its YC profile describes it as an open-source, extensible gateway with observability and evals.
Setup is a base-URL change in the OpenAI, Vercel AI SDK or LangChain clients, or the @respan/cli npm package. Evaluation scores are billed per thousand, so evals sit alongside logging rather than in a separate tool.
Launch and background: Y Combinator’s company directory lists Respan in its Winter 2024 batch, with the one-liner “Open-source, extensible AI gateway with observability and evals”.
Features
- Gateway: 1,000+ models behind one key.
- Tracing: Every call logged.
- Scores: Evaluation results on calls.
- Drop-in: Change the base URL.
- CLI:
respan auth login.
Pros
- Free to start: No card needed.
Cons
- Gateway dependency: Traffic must route through Respan.
- Eval depth: Lighter than dedicated eval platforms.
Usage and Links (Example)
npm install -g @respan/cli
respan auth login
Then point your OpenAI-compatible client at https://gateway.respan.ai/v1/.
Resources:
Pricing
Respan starts free with no card, and lists a $199 a month plan, usage rates such as $8 per 100k logs and $1 per 1k scores, $15 per member and a $500 a month add-on.
Recommended for?
- Teams wanting routing and observability in one hop.
Conclusion
Respan suits teams that want a gateway and basic evals without extra plumbing.
Use a dedicated eval tool for deep testing.
On CheckOps, Respan is filed under the Production monitoring & observability stage. Related tools listed here include Helicone, Langfuse, LangSmith, OpenLLMetry, Braintrust and Arize Phoenix. A short trial on a real project, with your own code, data and pipeline, is usually the fastest way to choose between them, because fit matters more than feature lists. Facts here come from the official site, documentation and repository, checked on 11 November 2026.
Alternatives
Other tools on CheckOps that cover similar ground. Open a page, or compare one with Respan side by side.
HHeliconeHelicone is an Apache-2.0 open-source AI gateway and LLM observability platform that logs requests, costs and latency with one line of code, plus prompt experiments and evaluations.Compare with Respan
LLangfuseLangfuse is an open-source platform for LLM traces, prompts, and evals. Self-hosting is free; Langfuse Cloud is paid after a hobby tier.Compare with Respan
LLangSmithLangSmith is LangChain's platform for observability and evaluation of LLM applications and agents, including offline and online evals.Compare with Respan
OOpenLLMetryOpenLLMetry is an Apache-2.0 set of OpenTelemetry extensions from Traceloop that instrument LLM providers, vector databases and frameworks, sending traces to any OTel backend.Compare with Respan
BBraintrustBraintrust is a hosted platform for AI evals and agent observability: trace production, turn patterns into evals, score releases, and query it from your IDE via MCP.Compare with Respan
AArize PhoenixArize Phoenix is an open-source (Elastic License 2.0) AI observability and evaluation tool for tracing, evaluating and improving LLM apps and agents, with a hosted Arize AX tier.Compare with Respan