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Add missing env keys to documentation: LITELLM_MAX_STREAMING_DURATION_SECONDS and LITELLM_USE_CHAT_COMPLETIONS_URL_FOR_ANTHROPIC_MESSAGES
These two environment variables were used in code but not documented in the environment variables reference section of config_settings.md, causing the test_env_keys.py CI test to fail. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
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@ -798,6 +798,7 @@ router_settings:
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| PYROSCOPE_SAMPLE_RATE | Optional. Sample rate for Pyroscope profiling (integer). No default; when unset, the pyroscope-io library default is used.
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| LITELLM_MASTER_KEY | Master key for proxy authentication
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| LITELLM_MAX_ITERATIONS_TTL | TTL in seconds for session iteration counters used by the max-iterations limiter. Default is 3600 (1 hour)
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| LITELLM_MAX_STREAMING_DURATION_SECONDS | Maximum duration in seconds allowed for a streaming response. Streams exceeding this duration are terminated with a Timeout error. Default is None (no limit)
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| LITELLM_MODE | Operating mode for LiteLLM (e.g., production, development)
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| LITELLM_NON_ROOT | Flag to run LiteLLM in non-root mode for enhanced security in Docker containers
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| LITELLM_RATE_LIMIT_WINDOW_SIZE | Rate limit window size for LiteLLM. Default is 60
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@ -806,6 +807,7 @@ router_settings:
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| LITELLM_SSL_CIPHERS | SSL/TLS cipher configuration for faster handshakes. Controls cipher suite preferences for OpenSSL connections.
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| LITELLM_SECRET_AWS_KMS_LITELLM_LICENSE | AWS KMS encrypted license for LiteLLM
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| LITELLM_TOKEN | Access token for LiteLLM integration
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| LITELLM_USE_CHAT_COMPLETIONS_URL_FOR_ANTHROPIC_MESSAGES | When set to "true", routes OpenAI /v1/messages requests through chat/completions instead of the Responses API for Anthropic models. Can also be set via `litellm_settings.use_chat_completions_url_for_anthropic_messages`
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| LITELLM_USER_AGENT | Custom user agent string for LiteLLM API requests. Used for partner telemetry attribution
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| LITELLM_PRINT_STANDARD_LOGGING_PAYLOAD | If true, prints the standard logging payload to the console - useful for debugging
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| LITELM_ENVIRONMENT | Environment for LiteLLM Instance. This is currently only logged to DeepEval to determine the environment for DeepEval integration.
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