NekoPunch
f5dfb1413e
* feat(python): add Mistral chat client Implements native Mistral support (#7366) with streaming, tool calling, and structured output. Talks to the REST API directly over httpx: the mistralai SDK's pinned OpenTelemetry deps conflict with the workspace. * refactor(python): simplify Mistral client per review Drop the streamed tool-call accumulator and multi-choice parsing in favor of the framework's built-in fragment merging, mark n unsupported, omit unset strict from json_schema, and leave CI secret wiring to maintainers. * test(python): drop n forwarding assertion n is typed as unsupported on MistralChatOptions; the option-mapping test still passed n, failing pyrefly/ty/zuban/mypy in CI. * refactor(python): drop n from MistralChatOptions n is not part of the base ChatOptions, so removing the key rejects it without an explicit None override. * feat(python): mark Mistral feature usage Both clients flip the shared FeatureIndex.MISTRAL bit before each request, matching the feature-usage telemetry other providers emit. * fix(python): key streamed tool calls by index Mistral omits the tool call id on continuation fragments, and the framework only coalesces empty-id fragments into the immediately preceding call, so interleaved parallel calls merged into the wrong call with corrupted arguments. Accumulate fragments per (choice, index) and emit each call only once complete. * fix(python): restore Mistral SDK client injection Dropping the mistralai dependency turned the embedding client's client= parameter into a breaking change for injected SDK clients. Add http_client= for httpx.AsyncClient and keep client= working: httpx goes to the REST path, a duck-typed mistralai.Mistral goes through the legacy SDK path with a DeprecationWarning until the next major release. * chore(python): tidy Mistral sample header
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. |
gemini/ |
Google Gemini samples covering tool calling, streaming, extended thinking, grounding, and built-in code execution. |
github_copilot/ |
GitHubCopilotAgent samples showing basic usage, session handling, permission-scoped shell/file/url access, and MCP integration. |
mistral/ |
Mistral AI embedding generation with configurable models and output dimensions. |
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.