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Implementation:Mistralai Client python Azure Chat Complete

From Leeroopedia
Knowledge Sources
Domains Cloud_Deployment, Azure, LLM_Inference
Last Updated 2026-02-15 14:00 GMT

Overview

Concrete tool for sending chat completion and streaming requests to Azure-deployed Mistral models provided by the mistralai_azure Chat resource.

Description

The Azure Chat resource provides complete(), complete_async(), stream(), and stream_async() methods identical in interface to the standard Mistral Chat resource. The difference is internal: requests are routed to the Azure endpoint configured during MistralAzure client initialization. The same parameters (model, messages, temperature, tools, etc.) and response types (ChatCompletionResponse, EventStream) are used.

Usage

Access via client.chat.complete() or client.chat.stream() on a MistralAzure client instance. The model parameter typically uses the Azure deployment name (e.g., "azureai") rather than Mistral model IDs.

Code Reference

Source Location

  • Repository: client-python
  • File: packages/mistralai_azure/src/mistralai_azure/chat.py
  • Lines: L1-693

Signature

class Chat:
    def complete(
        self,
        *,
        model: str,
        messages: List[ChatCompletionRequestMessage],
        temperature: Optional[float] = None,
        top_p: Optional[float] = None,
        max_tokens: Optional[int] = None,
        response_format: Optional[ResponseFormat] = None,
        tools: Optional[List[Tool]] = None,
        safe_prompt: Optional[bool] = None,
    ) -> ChatCompletionResponse:
        ...

    def stream(
        self,
        *,
        model: str,
        messages: List[ChatCompletionStreamRequestMessage],
        # Same parameters
    ) -> EventStream[CompletionEvent]:
        ...

Import

from mistralai_azure import MistralAzure
# Access via: client.chat.complete(...) or client.chat.stream(...)

I/O Contract

Inputs

Name Type Required Description
model str Yes Azure deployment model name
messages List[ChatCompletionRequestMessage] Yes Conversation messages
temperature Optional[float] No Sampling temperature
max_tokens Optional[int] No Maximum output tokens
tools Optional[List[Tool]] No Tool definitions for function calling

Outputs

Name Type Description
response ChatCompletionResponse Complete response (for complete())
stream EventStream[CompletionEvent] Streaming response (for stream())

Usage Examples

Azure Chat Completion

import os
from mistralai_azure import MistralAzure
from mistralai_azure.models import UserMessage

client = MistralAzure(
    azure_api_key=os.environ["AZURE_API_KEY"],
    azure_endpoint=os.environ["AZURE_ENDPOINT"],
)

# Synchronous completion
response = client.chat.complete(
    model="azureai",
    messages=[UserMessage(content="What is the capital of France?")],
)
print(response.choices[0].message.content)

# Streaming
with client.chat.stream(
    model="azureai",
    messages=[UserMessage(content="Write a haiku.")],
) as stream:
    for chunk in stream:
        content = chunk.data.choices[0].delta.content
        if content:
            print(content, end="")

Related Pages

Implements Principle

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Uses Heuristic

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