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Evan Mattson
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* Python: Support GPT-5 verbosity option and restore Foundry agent_reference Adds verbosity as a typed Literal["low","medium","high"] field on OpenAIChatOptions (Responses API) and OpenAIChatCompletionOptions (Chat Completions API), set in the same way as the existing reasoning options. For the Responses API, top-level verbosity is translated to the nested text.verbosity shape the OpenAI service expects. The same field flows through to FoundryChatClient via the existing FoundryChatOptions alias. Also fixes #5582: PR #5447 removed the agent_reference injection from RawFoundryAgentChatClient._prepare_options, so first-turn calls against a Foundry Prompt Agent went out without model and without agent_reference and were rejected by the Responses API with "Missing required parameter: 'model'". Restores the injection on the non-preview path (allow_preview=False) and adds a guard test that asserts the preview path does not inject agent_reference, since the preview SDK injects it via project_client.get_openai_client(agent_name=...). Closes #5516 Closes #5582 * Python: Address Copilot review on PR #5619 - Foundry verbosity sample docstring: replace the misleading "set deployment name on model=" instruction with the actual env-var pattern the sample relies on (FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL). - _build_agent_reference docstring: clarify the helper is used for both Prompt Agents and HostedAgents on the non-preview path. - Add a Responses API test that locks in the documented precedence rule: when both top-level verbosity and text["verbosity"] are supplied, the top-level value wins. * Python: Drop redundant Foundry verbosity sample and list OpenAI sample in README - Remove samples/02-agents/providers/foundry/foundry_chat_client_verbosity.py per review feedback. The verbosity functionality is identical across the OpenAI and Foundry clients (FoundryChatOptions is an alias of OpenAIChatOptions), so a single sample on the OpenAI side is sufficient. - Add the new client_verbosity.py entry to the OpenAI samples README.
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2026-05-04 21:21:40 +00:00
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Provider Samples Overview
This directory groups provider-specific samples for Agent Framework.
| Folder | What you will find |
|---|---|
anthropic/ |
Anthropic Claude samples using both AnthropicClient and ClaudeAgent, including tools, MCP, sessions, and Foundry Anthropic integration. |
amazon/ |
AWS Bedrock samples using BedrockChatClient, including tool-enabled agent usage. |
azure/ |
Azure OpenAI chat completion samples using OpenAIChatCompletionClient, including basic usage, explicit configuration, tools, and sessions. |
copilotstudio/ |
Microsoft Copilot Studio agent samples, including required environment/app registration setup and explicit authentication patterns. |
custom/ |
Framework extensibility samples for building custom BaseAgent and BaseChatClient implementations, including layer-composition guidance. |
foundry/ |
Microsoft Foundry and Foundry Local samples using FoundryChatClient, FoundryAgent, RawFoundryAgentChatClient, and FoundryLocalClient for hosted agents, Responses API, local inference, tools, MCP, and sessions. |
github_copilot/ |
GitHubCopilotAgent samples showing basic usage, session handling, permission-scoped shell/file/url access, and MCP integration. |
ollama/ |
Local Ollama samples using OllamaChatClient (recommended) plus OpenAI-compatible Ollama setup, including reasoning and multimodal examples. |
openai/ |
OpenAI provider samples for Chat and Chat Completion clients, including tools, structured output, sessions, MCP, web search, and multimodal tasks. |
Each folder has its own README with setup requirements and file-by-file details.