Create Message - BlinkOps Documentation

Create a message request for an Anthropic model and return the model’s generated response.

External DocumentationTo learn more, visit the Anthropic documentation.

Basic Parameters

Parameter	Description
Adaptive Thinking Effort	Select the thinking depth to guide adaptive thinking behavior. * `low` - Minimize thinking. Best for simple, speed-sensitive tasks. * `medium` - Use moderate thinking. May skip thinking for very simple queries. * `high` - Always think with deep reasoning on complex tasks. This is the default when omitted. * `xhigh` - Think deeply with extended exploration. Not supported on all models. * `max` - Think with no constraints on depth. Not supported on all models. Note: Only applicable when `Thinking` is set to `adaptive`. For more information about the `Adaptive Thinking Effort` parameter, visit Anthropic documentation.
Disable Parallel Tool Use	When checked - restrict the model to use at most one tool at a time and preventing parallel tool usage.
Max Tokens	The maximum number of tokens to generate before stopping. Different models have different maximum values for this parameter. Visit Anthropic documentation for more details.
Messages	The 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.
Model	The model that will complete your prompt.
Thinking	The extended thinking to use before responding. * `enabled` - Use a fixed token budget for internal reasoning. Not supported on all models. * `adaptive` - Let the model decide when and how much to think. Use `Adaptive Thinking Effort` to control thinking depth. Recommended for models that support adaptive thinking. * `disabled` - Do not use extended thinking. Notes: * When set to `enabled`, a minimum budget of `1024` tokens is required. * Thinking can be used together with `Tools` in the same request. When thinking is `enabled`, set `Tool Choice` to `auto` or `none` only. With `adaptive` thinking, the model can reason between tool calls. For more information about the `Thinking` parameter, visit Anthropic documentation.
Thinking Budget Tokens	The 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 at least `1024` and less than the `Max Tokens` value.
Tool Choice	Define 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 Name	The name of the tool to use.
Tools	Definitions 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”] } } ]` Note: Tools can be used together with `Thinking` in the same request. When thinking is `enabled`, set `Tool Choice` to `auto` or `none` only. For multi-turn tool use, include thinking blocks from prior responses in `Messages`. For more information about the `Tools` parameter, visit Anthropic documentation.

Advanced Parameters

Parameter	Description
Stop Sequences	A 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 Instructions	Context 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.
Temperature	The randomness of the output. Values can range from `0.0` to `1.0`. Note: Setting a non-default value may not be supported on all models.
Top K	Limit 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`. Note: Setting a non-default value may not be supported on all models. For more information about the `Top K` parameter, visit Anthropic documentation.
Top P	Control 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. Setting a non-default value may not be supported on all models. For more information about the `Top P` parameter, visit Anthropic documentation.
User ID	An external identifier for the user who is associated with the request. For more information about the `User ID` parameter, visit Anthropic documentation.

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
	}
}

Workflow Library Example

Create Message with Anthropic and Send Results Via Email

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​Basic Parameters

​Advanced Parameters

​Example Output

​Workflow Library Example

Basic Parameters

Advanced Parameters

Example Output

Workflow Library Example