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Evan Mattson a84ad42f6d Bump Python package versions for 1.7.0 release (#6142)
Bumps the released 1.6.0 packages agent-framework, agent-framework-core, agent-framework-foundry, and agent-framework-openai to 1.7.0, with root continuing to exactly pin agent-framework-core[all]. Bumps the changed prerelease packages agent-framework-a2a, agent-framework-chatkit, agent-framework-declarative, agent-framework-devui, and agent-framework-foundry-hosting to the 260528 date stamp, raises core floors on the packages included in this release, raises Foundry's OpenAI floor alongside OpenAI, and raises ChatKit's openai-chatkit floor to the minimum version required by the current typed API usage. No beta cohort bump was applied; the absent mistal/mistral package was intentionally not bumped because no such package exists in this branch.
a84ad42f6d ยท 2026-05-28 19:45:31 +09:00
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agent-framework-openai

OpenAI integration for Microsoft Agent Framework.

This package provides:

  • OpenAIChatClient for the OpenAI Responses API
  • OpenAIChatCompletionClient for the Chat Completions API
  • OpenAIEmbeddingClient for embeddings

Installation

pip install agent-framework-openai

Which chat client should I use?

Use OpenAIChatClient for new work unless you specifically need the Chat Completions API.

  • OpenAIChatClient uses the Responses API and is the preferred general-purpose chat client.
  • OpenAIChatCompletionClient uses the Chat Completions API and is mainly for compatibility with existing Chat Completions-based integrations.

The previous deprecated Responses alias has been removed. Use OpenAIChatClient directly.

Environment variables

OpenAI

These variables are used when the client is configured for OpenAI:

Variable Purpose
OPENAI_API_KEY OpenAI API key
OPENAI_ORG_ID OpenAI organization ID
OPENAI_BASE_URL Custom OpenAI-compatible base URL
OPENAI_MODEL Generic fallback model
OPENAI_CHAT_MODEL Preferred model for OpenAIChatClient
OPENAI_CHAT_COMPLETION_MODEL Preferred model for OpenAIChatCompletionClient
OPENAI_EMBEDDING_MODEL Preferred model for OpenAIEmbeddingClient

Model lookup order:

  • OpenAIChatClient: OPENAI_CHAT_MODEL -> OPENAI_MODEL
  • OpenAIChatCompletionClient: OPENAI_CHAT_COMPLETION_MODEL -> OPENAI_MODEL
  • OpenAIEmbeddingClient: OPENAI_EMBEDDING_MODEL -> OPENAI_MODEL

These model variables are only consulted when you do not pass model= directly. In other words, OpenAIChatClient(model="...") ignores OPENAI_CHAT_MODEL, and OpenAIChatCompletionClient(model="...") ignores OPENAI_CHAT_COMPLETION_MODEL.

Azure OpenAI

These variables are used when the client is configured for Azure OpenAI:

Variable Purpose
AZURE_OPENAI_ENDPOINT Azure OpenAI resource endpoint
AZURE_OPENAI_BASE_URL Full Azure OpenAI base URL (.../openai/v1)
AZURE_OPENAI_API_KEY Azure OpenAI API key
AZURE_OPENAI_API_VERSION Azure OpenAI API version
AZURE_OPENAI_MODEL Generic fallback deployment
AZURE_OPENAI_CHAT_MODEL Preferred deployment for OpenAIChatClient
AZURE_OPENAI_CHAT_COMPLETION_MODEL Preferred deployment for OpenAIChatCompletionClient
AZURE_OPENAI_EMBEDDING_MODEL Preferred deployment for OpenAIEmbeddingClient

Deployment lookup order:

  • OpenAIChatClient: AZURE_OPENAI_CHAT_MODEL -> AZURE_OPENAI_MODEL
  • OpenAIChatCompletionClient: AZURE_OPENAI_CHAT_COMPLETION_MODEL -> AZURE_OPENAI_MODEL
  • OpenAIEmbeddingClient: AZURE_OPENAI_EMBEDDING_MODEL -> AZURE_OPENAI_MODEL

For Azure routing, the same rule applies: the client-specific deployment variable is checked first, then the generic AZURE_OPENAI_MODEL fallback. Passing model= overrides both environment variables.

When both OpenAI and Azure environment variables are present, the generic clients prefer OpenAI when OPENAI_API_KEY is configured. To use Azure explicitly, pass azure_endpoint or credential.

OpenAI example

from agent_framework.openai import OpenAIChatClient

client = OpenAIChatClient(model="gpt-4.1")

Azure OpenAI example

from azure.identity.aio import AzureCliCredential

from agent_framework.openai import OpenAIChatClient

client = OpenAIChatClient(
    model="my-responses-deployment",
    azure_endpoint="https://my-resource.openai.azure.com",
    credential=AzureCliCredential(),
)

ChatClient vs ChatCompletionClient

Use OpenAIChatClient when you want the Responses API as your default chat surface.

Use OpenAIChatCompletionClient when you specifically need the Chat Completions API:

from agent_framework.openai import OpenAIChatCompletionClient

client = OpenAIChatCompletionClient(model="gpt-4o-mini")