Fix broken tool call streaming when first chunk contains duplicate index entries in OpenAI Python SDK Includes evidence for OpenAI API troubleshooting demand.
Source-backedLast updated May 16, 20261 sourceNeeds local verification
Streaming tool_call deltas with duplicate indexes in first chunk are accumulated incorrectly — accumulate_delta assumes index matches physical list position
Quick fix
Compare the failing environment with a known working setup, then change one configuration value at a time.
Updated
Verification status
Source-backed
Evidence
1 public source URL
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 OpenAI API, 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
Streaming tool_call deltas with duplicate indexes in first chunk are accumulated incorrectly — accumulate_delta assumes index matches physical list position is a OpenAI API failure pattern reported for developers trying to fix broken tool call streaming when first chunk contains duplicate index entries in openai python sdk. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
Bug in openai-python accumulate_delta: when first streamed chunk has multiple tool_calls with same index, accumulator stores list directly and later chunks merge into wrong entry. Results in invalid JSON and stranded tool call arguments. Category: OpenAI API.
Common causes
Bug in openai-python accumulate_delta: when first streamed chunk has multiple tool_calls with same index, accumulator stores list directly and later chunks merge into wrong entry. Results in invalid JSON and stranded tool call arguments. Category: OpenAI API.
Quick fixes
Confirm the exact error signature matches Streaming tool_call deltas with duplicate indexes in first chunk are accumulated incorrectly — accumulate_delta assumes index matches physical list position.
Check the OpenAI API account, local tool state, and provider configuration involved in the failing workflow.
Compare the failing environment with a known working setup, then change one configuration value at a time.
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 Streaming tool_call deltas with duplicate indexes in first chunk are accumulated incorrectly — accumulate_delta assumes index matches physical list position exactly before applying the quick fix.
Compare the failing environment with OpenAI API 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.