LiteLLM Bedrock pass-through /converse returns 200 with empty body — silent data loss regression
Fix regression in LiteLLM v1.85.0 where Bedrock AWS pass-through through the /converse endpoint returns 200 status but body is empty, causing silent data loss for clients consuming AI responses through LiteLLM proxy Includes evidence for LiteLLM troubleshooting demand.
Source-backedLast updated May 20, 20261 sourceNeeds local verification
Bedrock pass-through /converse returns HTTP 200 OK with empty response body on v1.85.0 — callers receive no content despite successful status code
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 LiteLLM, 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
Bedrock pass-through /converse returns HTTP 200 OK with empty response body on v1.85.0 — callers receive no content despite successful status code is a LiteLLM failure pattern reported for developers trying to fix regression in litellm v1.85.0 where bedrock aws pass-through through the /converse endpoint returns 200 status but body is empty, causing silent data loss for clients consuming ai responses through litellm proxy. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub Issue #28388 (BerriAI/litellm): llm translation + proxy labels confirm Bedrock /converse endpoint regression. HTTP 200 with empty body looks like success but delivers nothing. Affects enterprise teams using AWS Bedrock via LiteLLM proxy.
Common causes
GitHub Issue #28388 (BerriAI/litellm): llm translation + proxy labels confirm Bedrock /converse endpoint regression. HTTP 200 with empty body looks like success but delivers nothing. Affects enterprise teams using AWS Bedrock via LiteLLM proxy.
Quick fixes
Confirm the exact error signature matches Bedrock pass-through /converse returns HTTP 200 OK with empty response body on v1.85.0 — callers receive no content despite successful status code.
Check the LiteLLM 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 Bedrock pass-through /converse returns HTTP 200 OK with empty response body on v1.85.0 — callers receive no content despite successful status code exactly before applying the quick fix.
Compare the failing environment with LiteLLM 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.