OpenAI Developers Responses API reference vs OpenLM

Side-by-side comparison of two AI agent tools

Short answer

  • OpenLM has had no commit in 41 months; OpenAI Developers Responses API reference is actively maintained (184 commits in the last 90 days).
  • OpenAI Developers Responses API reference is growing faster: +31 GitHub stars in the last 30 days vs +-0 for OpenLM.
  • Pick OpenAI Developers Responses API reference for: openAPI specification for the OpenAI API. Pick OpenLM for: openAI-compatible Python client that can call any LLM.

From GitHub data refreshed daily.

OpenAPI specification for the OpenAI API

OpenLMopen-source

OpenAI-compatible Python client that can call any LLM

Metrics

OpenAI Developers Responses API referenceOpenLM
Stars2.5k368
Star velocity /mo30.79365079365079-0.47619047619047616
Commits (90d)1840
Releases (6m)00
Overall score0.53154742980457010.12773224683762688

Pros

  • +官方维护的权威API规范,确保文档的准确性和时效性
  • +提供自动更新和手动维护两个版本,满足不同使用场景的需求
  • +标准OpenAPI格式支持自动生成客户端代码和API文档
  • +Drop-in OpenAI compatibility requires minimal code changes (single import line)
  • +Multi-provider support enables batch processing across different models and providers simultaneously
  • +Lightweight architecture calls APIs directly without bloated SDK dependencies

Cons

  • -作为规范文档而非可执行工具,需要配合其他工具才能发挥价值
  • -手动维护版本可能存在更新滞后的问题
  • -对于初学者来说,直接阅读OpenAPI规范可能存在一定的技术门槛
  • -Currently limited to Completion endpoint only, lacking support for newer OpenAI features like Chat completions
  • -Relatively small community with 371 GitHub stars compared to official SDKs
  • -May lag behind latest provider API updates due to abstraction layer maintenance overhead

Use Cases

  • •使用OpenAPI生成工具自动创建各种编程语言的OpenAI API客户端库
  • •在API开发工具中导入规范以进行接口测试和调试
  • •基于规范文档构建自定义的API集成工具和中间件服务
  • •Model comparison and evaluation by running identical prompts across multiple LLM providers
  • •Implementing fallback strategies when primary models are unavailable or rate-limited
  • •Cost optimization by routing requests to the most economical provider for specific use cases

FAQ

Which is more popular, OpenAI Developers Responses API reference or OpenLM?
OpenAI Developers Responses API reference has more GitHub stars (2,540 vs 368).
Which is more actively developed, OpenAI Developers Responses API reference or OpenLM?
OpenAI Developers Responses API reference had more commits in the last 90 days (184 vs 0).
Should I use OpenAI Developers Responses API reference or OpenLM?
Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.