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ChatGenerationParams

Chat completion request parameters

Fields

Field Type Required Description Example
provider OptionalNullable[components.ChatGenerationParamsProvider] When multiple model providers are available, optionally indicate your routing preference.
plugins List[components.ChatGenerationParamsPluginUnion] Plugins you want to enable for this request, including their settings.
user Optional[str] Unique user identifier user-123
session_id Optional[str] A unique identifier for grouping related requests (e.g., a conversation or agent workflow) for observability. If provided in both the request body and the x-session-id header, the body value takes precedence. Maximum of 128 characters.
trace Optional[components.ChatGenerationParamsTrace] Metadata for observability and tracing. Known keys (trace_id, trace_name, span_name, generation_name, parent_span_id) have special handling. Additional keys are passed through as custom metadata to configured broadcast destinations.
messages List[components.Message] ✔️ List of messages for the conversation [
{
"role": "user",
"content": "Hello!"
}
]
model Optional[str] Model to use for completion openai/gpt-4
models List[str] Models to use for completion [
"openai/gpt-4",
"openai/gpt-4o"
]
frequency_penalty OptionalNullable[float] Frequency penalty (-2.0 to 2.0) 0
logit_bias Dict[str, float] Token logit bias adjustments {
"50256": -100
}
logprobs OptionalNullable[bool] Return log probabilities false
top_logprobs OptionalNullable[float] Number of top log probabilities to return (0-20) 5
max_completion_tokens OptionalNullable[float] Maximum tokens in completion 100
max_tokens OptionalNullable[float] Maximum tokens (deprecated, use max_completion_tokens). Note: some providers enforce a minimum of 16. 100
metadata Dict[str, str] Key-value pairs for additional object information (max 16 pairs, 64 char keys, 512 char values) {
"user_id": "user-123",
"session_id": "session-456"
}
presence_penalty OptionalNullable[float] Presence penalty (-2.0 to 2.0) 0
reasoning Optional[components.Reasoning] Configuration options for reasoning models {
"effort": "medium",
"summary": "concise"
}
response_format Optional[components.ResponseFormat] Response format configuration {
"type": "json_object"
}
seed OptionalNullable[int] Random seed for deterministic outputs 42
stop OptionalNullable[components.Stop] Stop sequences (up to 4) [
""
]
stream Optional[bool] Enable streaming response false
stream_options OptionalNullable[components.ChatStreamOptions] Streaming configuration options {
"include_usage": true
}
temperature OptionalNullable[float] Sampling temperature (0-2) 0.7
parallel_tool_calls OptionalNullable[bool] N/A
tool_choice Optional[components.ToolChoiceOption] Tool choice configuration auto
tools List[components.ToolDefinitionJSON] Available tools for function calling [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get weather"
}
}
]
top_p OptionalNullable[float] Nucleus sampling parameter (0-1) 1
debug Optional[components.DebugOptions] Debug options for inspecting request transformations (streaming only) {
"echo_upstream_body": true
}
image_config Dict[str, components.ChatGenerationParamsImageConfig] Provider-specific image configuration options. Keys and values vary by model/provider. See https://openrouter.ai/docs/guides/overview/multimodal/image-generation for more details. {
"aspect_ratio": "16:9"
}
modalities List[components.Modality] Output modalities for the response. Supported values are "text", "image", and "audio". [
"text",
"image"
]
cache_control Optional[components.CacheControl] Enable automatic prompt caching. When set, the system automatically applies cache breakpoints to the last cacheable block in the request. Currently supported for Anthropic Claude models.