What this error means

The litellm call will disconnect after 60-70 seconds is a LiteLLM failure pattern reported for developers trying to fix premature connection drops (~60-70s) in litellm proxy streaming — likely proxy timeout or keep-alive configuration issue. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub issue #28474 (May 21, 2026) on BerriAI/litellm, labeled 'bug' and 'llm translation'. Affects production proxy serving with ~60-70s hard disconnect regardless of source model config. High commercial value: breaks any LiteLLM proxy deployment serving long-running LLM completions. No coverage in dev-error-db yet.

Common causes

  • GitHub issue #28474 (May 21, 2026) on BerriAI/litellm, labeled 'bug' and 'llm translation'. Affects production proxy serving with ~60-70s hard disconnect regardless of source model config. High commercial value: breaks any LiteLLM proxy deployment serving long-running LLM completions. No coverage in dev-error-db yet.

Quick fixes

  1. Confirm the exact error signature matches The litellm call will disconnect after 60-70 seconds.
  2. Check the LiteLLM 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.