How to Fix Request timed out connecting to upstream LLM provider (LiteLLM)

Quick Answer: The 'litellm-provider-timeout' error occurs when LiteLLM takes too long to receive a response from the underlying LLM provider (like OpenAI, Anthropic, or Azure). The fastest fix is to increase the timeout limit in your LiteLLM configuration or check if the upstream provider is experiencing an outage.

What Causes This Error

• Upstream LLM provider is experiencing high latency, rate limiting, or a service outage.
• The request payload is too large or complex, causing the model to take longer than the default timeout threshold to generate a response.
• Network latency or firewall issues between your LiteLLM proxy/application and the provider's API endpoints.
• LiteLLM timeout configurations (request_timeout) are set too aggressively low for heavy generation tasks.

Step-by-Step Fixes

Fix 1: Fix 1: Increase the Request Timeout Limit

Locate your LiteLLM configuration file (e.g., config.yaml).,Add or update the `request_timeout` parameter under general settings or specific model settings (e.g., set it to 60 or 120 seconds).,Restart your LiteLLM proxy server to apply the changes.

Fix 2: Fix 2: Check Upstream Provider Status

Visit the official status page of the LLM provider you are calling (e.g., OpenAI Status, Anthropic Status, Azure Status).,Verify if there are any ongoing incidents, degraded performance, or widespread API outages.,If an outage is reported, wait until the provider resolves the issue before retrying requests.

Fix 3: Fix 3: Optimize Request Payload Size

Reduce the maximum token limit (`max_tokens`) in your API requests to speed up response generation times.,Trim overly long conversation histories or excessive context windows being sent to the model.,Test with a simpler prompt to confirm whether the timeout is caused by heavy generation load.

Advanced Fixes

Advanced Fix 1: Advanced: Implement Fallbacks and Retries

Configure LiteLLM fallback models in your `config.yaml` to automatically route requests to an alternative provider if the primary provider times out.,Enable built-in retry logic within LiteLLM using parameters like `num_retries` to handle transient network hiccups.

FAQs

Q: What is the default timeout value in LiteLLM?

A: By default, LiteLLM relies on the underlying provider or client libraries, but timeouts can often default to 300 seconds or lower depending on the specific wrapper and SDK version used.

Q: Can I set timeouts per model instead of globally?

A: Yes, LiteLLM allows you to define custom `request_timeout` parameters inside the `model_list` section of your config.yaml file for individual models.