Anthropic Python SDK Streaming Drops Mid-Stream with RemoteProtocolError on Long Code Execution Runs

What this error means

RemoteProtocolError: Stream dropped mid-request during long code_execution + skills runs is a Anthropic API, Python SDK failure pattern reported for developers trying to fix anthropic api streaming connection dropping during long-running code execution or skills runs. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Confirmed bug in anthropic-sdk-python: streaming /v1/messages endpoint drops connection mid-stream during extended code_execution + skills runs. No graceful error handling.

Common causes

• Developers using Anthropic code execution features experience silent stream drops on long operations, losing partial results with no retry mechanism
• Confirmed bug in anthropic-sdk-python: streaming /v1/messages endpoint drops connection mid-stream during extended code_execution + skills runs. No graceful error handling.

Quick fixes

1. Confirm the exact error signature matches RemoteProtocolError: Stream dropped mid-request during long code_execution + skills runs.
2. Check the Anthropic API, Python SDK account, local tool state, and provider configuration involved in the failing workflow.
3. 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

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/anthropics/anthropic-sdk-python/issues/1470

Evidence note: Confirmed bug in anthropic-sdk-python: streaming /v1/messages endpoint drops connection mid-stream during extended code_execution + skills runs. No graceful error handling.

Related errors

• Anthropic API 529 overloaded error
• Anthropic API timeout on long requests
• Anthropic API SSE connection reset

FAQ

What should I check first?

Start with the exact RemoteProtocolError: Stream dropped mid-request during long code_execution + skills runs text and the smallest action that reproduces it.

Can I ignore this error?

No. Treat it as a failed Anthropic API, Python SDK 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 RemoteProtocolError: Stream dropped mid-request during long code_execution + skills runs.