Anthropic API / Anthropic API

Mid-stream SSE errors return status_code=200 instead of actual error code in Anthropic SDK

Fix AWS Bedrock SSE error events being swallowed with 200 status, making errors undetectable Includes evidence for Anthropic API troubleshooting demand.

Source-backed Last updated May 17, 2026 1 source Needs local verification

Category: Anthropic API
Error signature: SSE stream produces server-side errors but HTTP status_code stays 200 — errors invisible to caller
Quick fix: Compare the failing environment with a known working setup, then change one configuration value at a time.
Updated: May 17, 2026
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 Anthropic 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

SSE stream produces server-side errors but HTTP status_code stays 200 — errors invisible to caller is a Anthropic API failure pattern reported for developers trying to fix aws bedrock sse error events being swallowed with 200 status, making errors undetectable. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Found via GitHub issue search for anthropics/anthropic-sdk-python mid-stream SSE errors. Non-200 SSE error events should be converted to APIStatusError but currently pass through silently.

Common causes

Found via GitHub issue search for anthropics/anthropic-sdk-python mid-stream SSE errors. Non-200 SSE error events should be converted to APIStatusError but currently pass through silently.

Quick fixes

Confirm the exact error signature matches SSE stream produces server-side errors but HTTP status_code stays 200 — errors invisible to caller.
Check the Anthropic 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 SSE stream produces server-side errors but HTTP status_code stays 200 — errors invisible to caller exactly before applying the quick fix.
Compare the failing environment with Anthropic 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.

FAQ

What does SSE stream produces server-side errors but HTTP status_code stays 200 — errors invisible to caller mean in Anthropic API?

SSE stream produces server-side errors but HTTP status_code stays 200 — errors invisible to caller indicates the workflow described by "Mid-stream SSE errors return status_code=200 instead of actual error code in Anthropic SDK" failed in a Anthropic API context. Start by confirming the exact signature and the component that emitted it.

What should I check first for SSE stream produces server-side errors but HTTP status_code stays 200 — errors invisible to caller?

Check whether this cause matches your environment: Found via GitHub issue search for anthropics/anthropic-sdk-python mid-stream SSE errors. Non-200 SSE error events should be converted to APIStatusError but currently pass through silently.

Is the SSE stream produces server-side errors but HTTP status_code stays 200 — errors invisible to caller guidance source-backed?

The "Mid-stream SSE errors return status_code=200 instead of actual error code in Anthropic SDK" page is labeled source-backed. It has 1 public source URL from github.com, so use that evidence status when deciding how much additional verification you need.

When should I avoid the quick fix for SSE stream produces server-side errors but HTTP status_code stays 200 — errors invisible to caller?

For "Mid-stream SSE errors return status_code=200 instead of actual error code in Anthropic SDK", avoid applying "Compare the failing environment with a known working setup, then change one configuration value at a time." 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 SSE stream produces server-side errors but HTTP status_code stays 200 — errors invisible to caller?

For "Mid-stream SSE errors return status_code=200 instead of actual error code in Anthropic SDK", collect the failing Anthropic API command or request, non-secret configuration, versions, timestamps, request IDs when available, and the smallest reproduction that still triggers the signature.