LangChain rate limit error with OpenAI embedding API

What this error means

openai.error.RateLimitError: Rate limit reached for default-global-with-image-limits in organization org-xxx on requests per min. Limit: 60.0 / min. Current: 70.0 / min is a LangChain failure pattern reported for developers trying to fix openai rate limit errors when using langchain embeddings via text-embedding-ada-002, specifically when chunking texts across multiple concurrent requests. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Multiple related LangChain issues (#634, #6071, #15190, #9298) — Users consistently hit RateLimitError with OpenAI embedding models through LangChain. The SDK-level rate limiter doesn’t properly account for LangChain’s internal concurrency, causing bursts that exceed organization quotas. Affects paid API users running LangChain pipelines. Mapping: LangChain → AI Coding Tools per category rules.

Common causes

• Multiple related LangChain issues (#634, #6071, #15190, #9298) — Users consistently hit RateLimitError with OpenAI embedding models through LangChain. The SDK-level rate limiter doesn’t properly account for LangChain’s internal concurrency, causing bursts that exceed organization quotas. Affects paid API users running LangChain pipelines. Mapping: LangChain → AI Coding Tools per category rules.

Quick fixes

1. Confirm the exact error signature matches openai.error.RateLimitError: Rate limit reached for default-global-with-image-limits in organization org-xxx on requests per min. Limit: 60.0 / min. Current: 70.0 / min.
2. Check the LangChain account, local tool state, and provider configuration involved in the failing workflow.
3. Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.

Platform/tool-specific checks

• Verify the command, editor, extension, or API client that produced the error.
• Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
• Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

1. Capture the exact error message and the command, editor action, or request that triggered it.
2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
3. Review the source evidence below and compare it with your environment.
4. Apply one change at a time and rerun the smallest failing action.
5. Keep the working fix documented for the team or deployment environment.

How to prevent it

• Keep provider/tool configuration documented.
• Record non-secret diagnostics such as tool version, provider name, model name, and command path.
• Add a lightweight check before CI or production workflows depend on the tool.

Sources checked

• https://github.com/langchain-ai/langchain/issues/634
• https://github.com/langchain-ai/langchain/issues/6071
• https://github.com/langchain-ai/langchain/issues/9298
• https://github.com/langchain-ai/langchain/issues/15190

Evidence note: Multiple related LangChain issues (#634, #6071, #15190, #9298) — Users consistently hit RateLimitError with OpenAI embedding models through LangChain. The SDK-level rate limiter doesn’t properly account for LangChain’s internal concurrency, causing bursts that exceed organization quotas. Affects paid API users running LangChain pipelines. Mapping: LangChain → AI Coding Tools per category rules.

Related errors

• AI Coding Tools

FAQ

What should I check first?

Start with the exact openai.error.RateLimitError: Rate limit reached for default-global-with-image-limits in organization org-xxx on requests per min. Limit: 60.0 / min. Current: 70.0 / min text and the smallest action that reproduces it.

Can I ignore this error?

No. Treat it as a failed LangChain workflow until the root cause is understood.

Is this guaranteed to have one fix?

No. The imported evidence supports the troubleshooting path above, but tool behavior can vary by account, plan, version, provider, and local configuration.

How do I know the fix worked?

Rerun the same command, editor action, or request. The fix is working when that action completes without openai.error.RateLimitError: Rate limit reached for default-global-with-image-limits in organization org-xxx on requests per min. Limit: 60.0 / min. Current: 70.0 / min.