Request Headers

Special headers that are supported by LiteLLM.

Header Forwarding

By default, LiteLLM does not forward client headers to LLM provider APIs. However, you can selectively enable header forwarding for specific model groups. Learn more about configuring header forwarding.

LiteLLM Headers

x-litellm-timeout Optional[float]: The timeout for the request in seconds.

x-litellm-stream-timeout Optional[float]: The timeout for getting the first chunk of the response in seconds (only applies for streaming requests). Demo Video

x-litellm-enable-message-redaction: Optional[bool]: Don't log the message content to logging integrations. Just track spend. Learn More

x-litellm-tags: Optional[str]: A comma separated list (e.g. tag1,tag2,tag3) of tags to use for tag-based routing OR spend-tracking.

x-litellm-num-retries: Optional[int]: The number of retries for the request.

x-litellm-spend-logs-metadata: Optional[str]: JSON string containing custom metadata to include in spend logs. Example: {"user_id": "12345", "project_id": "proj_abc", "request_type": "chat_completion"}. Learn More

x-litellm-customer-id: Optional[str]: Standard header for passing a customer/end-user ID. Always checked without any configuration. Learn More

x-litellm-end-user-id: Optional[str]: Standard header for passing a customer/end-user ID. Always checked without any configuration. Learn More

x-litellm-trace-id Optional[str]: A stable id used to correlate all LLM calls belonging to one conversation or agentic flow. The value is stored in the session_id column of the LiteLLM_SpendLogs table and in request metadata (trace_id and session_id), and it propagates to nested MCP tool calls and A2A agent calls so inner LLM calls share the same session id. Highest priority of the three headers.

x-litellm-session-id Optional[str]: Same behavior as x-litellm-trace-id. Used if x-litellm-trace-id is not present. The two headers are interchangeable and set the same chain id.

x-<vendor>-session-id Optional[str]: Fallback pattern. Any header matching x-<vendor>-session-id (for example x-claude-code-session-id) is auto-detected as the session id if neither explicit LiteLLM header is present. The value must look like a session id: alphanumeric characters, hyphens, or underscores, at least 8 characters long.

LiteLLM resolves the session id in a fixed priority order: x-litellm-trace-id first, then x-litellm-session-id, then any x-<vendor>-session-id header. The first match wins, and the resolved value becomes the chain id shared across the request and any nested MCP or A2A calls it triggers.

Session correlation example

Send two chat completion requests with the same x-litellm-trace-id value to group them into one session:

curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -H "x-litellm-trace-id: my-conversation-123" \
  -d '{
    "model": "gpt-4o",
    "messages": [{"role": "user", "content": "Hello, who won the world cup in 2022?"}]
  }'

curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -H "x-litellm-trace-id: my-conversation-123" \
  -d '{
    "model": "gpt-4o",
    "messages": [{"role": "user", "content": "And who was the top scorer?"}]
  }'

All requests sharing that value can be found by querying spend logs by session id, or through the session grouping in the Admin UI logs page.

Anthropic Headers

anthropic-version Optional[str]: The version of the Anthropic API to use.
anthropic-beta Optional[str]: The beta version of the Anthropic API to use.

• For /v1/messages endpoint, this will always be forward the header to the underlying model.
• For /chat/completions endpoint, this will only be forwarded if the model is configured in forward_client_headers_to_llm_api. Learn more

OpenAI Headers

openai-organization Optional[str]: The organization to use for the OpenAI API. (currently needs to be enabled via general_settings::forward_openai_org_id: true)

Custom Headers

Custom headers starting with x- can be forwarded to LLM provider APIs when the model is configured in forward_client_headers_to_llm_api. Learn more about header forwarding configuration.