Generate Chat Completion - BlinkOps Documentation

Generate a chat completion response from a model using a conversation history. Note: To chat with a specific agent instead of a bare model, connect using an agent-specific API key. The agent’s configuration, including its system prompt, knowledge, and tools, is automatically applied. For more information, visit Helix documentation.

External DocumentationTo learn more, visit the Helix documentation.

Basic Parameters

Parameter	Description
Messages	The list of messages in the conversation. Each message is an object with a `role` (`system`, `user`, or `assistant`) and a `content` string. Example: `[ {“role”: “system”, “content”: “You are a helpful assistant.”}, {“role”: “user”, “content”: “What is the capital of France?”} ]`
Model	The model used to generate the chat completion, for example `qwen3:8b`.

Advanced Parameters

Parameter	Description
Max Tokens	The maximum number of tokens to generate in the chat completion.
Temperature	The sampling temperature to use. Values can range from `0` to `2`.
Top P	The nucleus sampling parameter, where the model considers the tokens with `top_p` probability mass.

Example Output

{
	"id": "ses_01a4t10c132825d3k037tyh7ap",
	"object": "chat.completion",
	"created": 1723155364,
	"model": "qwen3:8b",
	"choices": [
		{
			"index": 0,
			"finish_reason": "stop",
			"message": {
				"role": "assistant",
				"content": "The capital of France is Paris."
			}
		}
	],
	"usage": {
		"prompt_tokens": 24,
		"completion_tokens": 8,
		"total_tokens": 32
	}
}

Workflow Library Example

Generate Chat Completion with Helix and Send Results Via Email

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