LangChain / AI Coding Tools

LangChain rate limit error with OpenAI embedding API

Fix OpenAI rate limit errors when using LangChain embeddings via text-embedding-ada-002, specifically when chunking texts across multiple concurrent requests Includes evidence for LangChain troubleshooting demand.

Source-backed Last updated May 21, 2026 4 sources Needs local verification

Category: AI Coding Tools
Error signature: 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
Quick fix: Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.
Updated: May 21, 2026
Verification status: Source-backed
Evidence: 4 public source URLs

Before you change production

This page includes public source URLs in the imported troubleshooting record. Compare those references with your version and environment before applying changes.

Reproduce the smallest failing action and save non-secret logs before changing configuration.
Check versions for LangChain, related SDKs, package managers, CI runners, and hosting providers.
Change one setting or dependency at a time, then rerun the same failing command or request.
Avoid destructive commands, credential rotation, billing changes, or security relaxations without a rollback plan.

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

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.
Check the LangChain account, local tool state, and provider configuration involved in the failing workflow.
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

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

Diagnostic flow for this page

Match 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 exactly before applying the quick fix.
Compare the failing environment with LangChain versions, account scope, provider settings, and deployment context.
Check the listed common causes in order, starting with the cause that best matches your logs.
Use the evidence status below to decide whether to confirm against public sources or official documentation.
Apply one reversible change, rerun the smallest failing action, and keep rollback notes.

FAQ

What does 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 mean in LangChain?

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 indicates the workflow described by "LangChain rate limit error with OpenAI embedding API" failed in a AI Coding Tools context. Start by confirming the exact signature and the component that emitted it.

What should I check first for 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?

Check whether this cause matches your environment: 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.

Is the 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 guidance source-backed?

The "LangChain rate limit error with OpenAI embedding API" page is labeled source-backed. It has 4 public source URLs from github.com, so use that evidence status when deciding how much additional verification you need.

When should I avoid the quick fix for 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?

For "LangChain rate limit error with OpenAI embedding API", avoid applying "Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests." when the error text differs, the affected version or provider is different, or the change would touch credentials, billing, DNS, production deploy settings, or irreversible data.

What should I collect before debugging 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?

For "LangChain rate limit error with OpenAI embedding API", collect the failing LangChain command or request, non-secret configuration, versions, timestamps, request IDs when available, and the smallest reproduction that still triggers the signature.