llama-stack-mirror/docs/docs/api/create-an-agent-with-the-given-configuration.api.mdx

---
id: create-an-agent-with-the-given-configuration
title: "Create an agent with the given configuration."
description: "Create an agent with the given configuration."
sidebar_label: "Create an agent with the given configuration."
hide_title: true
hide_table_of_contents: true
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info_path: docs/api/llama-stack-specification
custom_edit_url: null
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<Heading
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  children={"Create an agent with the given configuration."}
>
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<MethodEndpoint
  method={"post"}
  path={"/v1/agents"}
  context={"endpoint"}
>
  
</MethodEndpoint>



Create an agent with the given configuration.

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  parameters={[]}
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  title={"Body"}
  body={{"content":{"application/json":{"schema":{"type":"object","properties":{"agent_config":{"description":"The configuration for the agent.","type":"object","properties":{"sampling_params":{"type":"object","properties":{"strategy":{"description":"The sampling strategy.","oneOf":[{"type":"object","properties":{"type":{"type":"string","const":"greedy","default":"greedy","description":"Must be \"greedy\" to identify this sampling strategy"}},"additionalProperties":false,"required":["type"],"title":"GreedySamplingStrategy","description":"Greedy sampling strategy that selects the highest probability token at each step."},{"type":"object","properties":{"type":{"type":"string","const":"top_p","default":"top_p","description":"Must be \"top_p\" to identify this sampling strategy"},"temperature":{"type":"number","description":"Controls randomness in sampling. Higher values increase randomness"},"top_p":{"type":"number","default":0.95,"description":"Cumulative probability threshold for nucleus sampling. Defaults to 0.95"}},"additionalProperties":false,"required":["type"],"title":"TopPSamplingStrategy","description":"Top-p (nucleus) sampling strategy that samples from the smallest set of tokens with cumulative probability >= p."},{"type":"object","properties":{"type":{"type":"string","const":"top_k","default":"top_k","description":"Must be \"top_k\" to identify this sampling strategy"},"top_k":{"type":"integer","description":"Number of top tokens to consider for sampling. 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The token count of your prompt plus max_tokens cannot exceed the model's context length."},"repetition_penalty":{"type":"number","default":1,"description":"Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics."},"stop":{"type":"array","items":{"type":"string"},"description":"Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence."}},"additionalProperties":false,"required":["strategy"],"title":"SamplingParams","description":"Sampling parameters."},"input_shields":{"type":"array","items":{"type":"string"}},"output_shields":{"type":"array","items":{"type":"string"}},"toolgroups":{"type":"array","items":{"oneOf":[{"type":"string"},{"type":"object","properties":{"name":{"type":"string"},"args":{"type":"object","additionalProperties":{"oneOf":[{"type":"null"},{"type":"boolean"},{"type":"number"},{"type":"string"},{"type":"array"},{"type":"object"}]}}},"additionalProperties":false,"required":["name","args"],"title":"AgentToolGroupWithArgs"}],"title":"AgentTool"}},"client_tools":{"type":"array","items":{"type":"object","properties":{"name":{"type":"string","description":"Name of the tool"},"description":{"type":"string","description":"(Optional) Human-readable description of what the tool does"},"parameters":{"type":"array","items":{"type":"object","properties":{"name":{"type":"string","description":"Name of the parameter"},"parameter_type":{"type":"string","description":"Type of the parameter (e.g., string, integer)"},"description":{"type":"string","description":"Human-readable description of what the parameter does"},"required":{"type":"boolean","default":true,"description":"Whether this parameter is required for tool invocation"},"default":{"oneOf":[{"type":"null"},{"type":"boolean"},{"type":"number"},{"type":"string"},{"type":"array"},{"type":"object"}],"description":"(Optional) Default value for the parameter if not provided"}},"additionalProperties":false,"required":["name","parameter_type","description","required"],"title":"ToolParameter","description":"Parameter definition for a tool."},"description":"(Optional) List of parameters this tool accepts"},"metadata":{"type":"object","additionalProperties":{"oneOf":[{"type":"null"},{"type":"boolean"},{"type":"number"},{"type":"string"},{"type":"array"},{"type":"object"}]},"description":"(Optional) Additional metadata about the tool"}},"additionalProperties":false,"required":["name"],"title":"ToolDef","description":"Tool definition used in runtime contexts."}},"tool_choice":{"type":"string","enum":["auto","required","none"],"title":"ToolChoice","description":"Whether tool use is required or automatic. This is a hint to the model which may not be followed. It depends on the Instruction Following capabilities of the model.","deprecated":true},"tool_prompt_format":{"type":"string","enum":["json","function_tag","python_list"],"title":"ToolPromptFormat","description":"Prompt format for calling custom / zero shot tools.","deprecated":true},"tool_config":{"type":"object","properties":{"tool_choice":{"oneOf":[{"type":"string","enum":["auto","required","none"],"title":"ToolChoice","description":"Whether tool use is required or automatic. This is a hint to the model which may not be followed. It depends on the Instruction Following capabilities of the model."},{"type":"string"}],"default":"auto","description":"(Optional) Whether tool use is automatic, required, or none. Can also specify a tool name to use a specific tool. Defaults to ToolChoice.auto."},"tool_prompt_format":{"type":"string","enum":["json","function_tag","python_list"],"description":"(Optional) Instructs the model how to format tool calls. By default, Llama Stack will attempt to use a format that is best adapted to the model. - `ToolPromptFormat.json`: The tool calls are formatted as a JSON object. - `ToolPromptFormat.function_tag`: The tool calls are enclosed in a <function=function_name> tag. - `ToolPromptFormat.python_list`: The tool calls are output as Python syntax -- a list of function calls."},"system_message_behavior":{"type":"string","enum":["append","replace"],"description":"(Optional) Config for how to override the default system prompt. - `SystemMessageBehavior.append`: Appends the provided system message to the default system prompt. - `SystemMessageBehavior.replace`: Replaces the default system prompt with the provided system message. The system message can include the string '{{function_definitions}}' to indicate where the function definitions should be inserted.","default":"append"}},"additionalProperties":false,"title":"ToolConfig","description":"Configuration for tool use."},"max_infer_iters":{"type":"integer","default":10},"model":{"type":"string","description":"The model identifier to use for the agent"},"instructions":{"type":"string","description":"The system instructions for the agent"},"name":{"type":"string","description":"Optional name for the agent, used in telemetry and identification"},"enable_session_persistence":{"type":"boolean","default":false,"description":"Optional flag indicating whether session data has to be persisted"},"response_format":{"description":"Optional response format configuration","oneOf":[{"type":"object","properties":{"type":{"type":"string","enum":["json_schema","grammar"],"description":"Must be \"json_schema\" to identify this format type","const":"json_schema","default":"json_schema"},"json_schema":{"type":"object","additionalProperties":{"oneOf":[{"type":"null"},{"type":"boolean"},{"type":"number"},{"type":"string"},{"type":"array"},{"type":"object"}]},"description":"The JSON schema the response should conform to. 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