Generate a model response.

External Documentation

To learn more, visit the Anthropic documentation.

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Basic Parameters

ParameterDescription
Disable Parallel Tool UseWhen checked - restrict the model to use at most one tool at a time and preventing parallel tool usage.
Max TokensThe maximum number of tokens to generate before stopping.Different models have different maximum values for this parameter. Visit Anthropic documentation for more details.
MessagesThe content of the current conversation with the model.For example:[ {"role": "user", "content": "Hello there."}, {"role": "assistant", "content": "Hi, I'm Claude. How can I help you?"}, {"role": "user", "content": "Can you explain LLMs in plain English?"}]For more information about the Messages parameter, visit Anthropic documentation for more details.
ModelThe model that will complete your prompt.
ThinkingWhen set to enabled, responses include thinking content blocks showing the model’s thinking process before the final answer.Note: Requires a minimum budget of 1,024 tokens.For more information about the Thinking parameter, visit Anthropic documentation.
Thinking Budget TokensThe number of tokens the model can use for its internal reasoning process. Larger budgets can enable more thorough analysis for complex problems which improves response quality.Note: Must be higher than 1024 and less than the Max Tokens value.
Tool ChoiceDefine how the model should use the provided tools.The model can:* auto - Decide by itself.* any - Use any available tool.* tool - Use a specific tool.* none - Not use tools at all.Note: This parameter may only be specified while providing Tools.
Tool Choice NameThe name of the tool to use.
ToolsDefinitions of tools that the model may use.Each tool definition includes:* name - Name of the tool.* description - Optional, but strongly-recommended description of the tool.* input_schema - JSON schema for the tool input shape that the model will produce in tool_use output content blocks.For example:[ { "name": "get_stock_price", "description": "Get the current stock price for a given ticker symbol.", "input_schema": { "type": "object", "properties": { "ticker": { "type": "string", "description": "The stock ticker symbol, e.g. AAPL for Apple Inc." } }, "required": ["ticker"] } }]For more information about the Tools parameter, visit Anthropic documentation.

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Advanced Parameters

ParameterDescription
Stop SequencesA comma-separated list of character sequences that will stop output generation. If specified, the response will stop at the first appearance of a Stop Sequence. The stop sequence will not be included as part of the response.Example: STOP,END
System InstructionsContext and instructions to provide to the model, such as specifying a particular goal or role.For example:You are a seasoned data scientist at a Fortune 500 company.For more information about the System parameter, visit Anthropic documentation.
TemperatureThe randomness of the output.Values can range from 0.0 to 1.0.
Top KLimit the model to only consider the top K most likely options when selecting each word. This reduces random or unusual responses by filtering out less probable choices. For most cases, using Temperature is sufficient.Valid values are larger than 0.For more information about the Top K parameter, visit Anthropic documentation.
Top PControl text variety by only considering the most likely words whose combined probability reaches the specified Top P value. This helps balance creativity and relevance in responses.Values can range from 0.0 to 1.0.Note: Either use this parameter or Temperature, but not both.For more information about the Top P parameter, visit Anthropic documentation.
User IDAn external identifier for the user who is associated with the request.For more information about the User ID parameter, visit Anthropic documentation.

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Example Output

{
	"content": [
		{
			"text": "Hi! My name is Claude.",
			"type": "text"
		}
	],
	"id": "msg_013Zva2CMHLNnXjNJJKqJ2EF",
	"model": "claude-3-7-sonnet-20250219",
	"role": "assistant",
	"stop_reason": "end_turn",
	"stop_sequence": null,
	"type": "message",
	"usage": {
		"input_tokens": 2095,
		"output_tokens": 503
	}
}

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Workflow Library Example

Generate Model Response with Anthropic and Send Results Via Email

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