Add MiniMax as first-class LLM provider for agents and classifiers

[octo-patch]

Summary

Adds MiniMax as a first-class LLM provider for both agents and classifiers in the Python SDK, following the same patterns as the existing OpenAI and Anthropic providers.

What's included

• MiniMaxAgent — Agent implementation using MiniMax's OpenAI-compatible API (https://api.minimax.io/v1), supporting both streaming and non-streaming responses, custom system prompts with template variables, retriever integration, and configurable inference parameters
• MiniMaxClassifier — Classifier implementation for intent routing using MiniMax models with function calling support
• Model constants — MINIMAX_MODEL_ID_M2_7 and MINIMAX_MODEL_ID_M2_7_HIGHSPEED for the latest MiniMax models
• Temperature clamping — Automatic clamping of temperature values ≤ 0 to 0.01 (MiniMax API requires positive temperature)
• minimax install extra — pip install "agent-squad[minimax]" (reuses the openai SDK dependency)
• README update — MiniMax listed as an installation option alongside AWS, Anthropic, and OpenAI

Files changed (12 files, ~1091 additions)

File	Change
python/src/agent_squad/agents/minimax_agent.py	New MiniMaxAgent + MiniMaxAgentOptions
python/src/agent_squad/classifiers/minimax_classifier.py	New MiniMaxClassifier + MiniMaxClassifierOptions
python/src/agent_squad/agents/__init__.py	Optional import for MiniMaxAgent
python/src/agent_squad/classifiers/__init__.py	Optional import for MiniMaxClassifier
python/src/agent_squad/types/types.py	Model ID constants
python/src/agent_squad/types/__init__.py	Export model constants
python/setup.cfg	minimax install extra
README.md	MiniMax installation section
python/src/tests/agents/test_minimax_agent.py	24 unit tests
python/src/tests/agents/test_minimax_agent_integration.py	3 integration tests
python/src/tests/classifiers/test_minimax_classifier.py	12 unit tests
python/src/tests/classifiers/test_minimax_classifier_integration.py	1 integration test

Test plan

• 24 unit tests for MiniMaxAgent (init, system prompt, process_request, handlers)
• 12 unit tests for MiniMaxClassifier (init, temperature clamping, process_request)
• 3 integration tests for MiniMaxAgent (single response, streaming, multi-turn)
• 1 integration test for MiniMaxClassifier (classify tech question)
• All 268 existing tests continue to pass with no regressions
• Verified with actual MiniMax API (MINIMAX_API_KEY)

Usage example

from agent_squad.agents import MiniMaxAgent, MiniMaxAgentOptions

agent = MiniMaxAgent(MiniMaxAgentOptions(
    name="TechExpert",
    description="A technology expert that answers programming questions",
    api_key="your-minimax-api-key",
    model="MiniMax-M2.7",
    streaming=True,
    inference_config={
        'maxTokens': 2000,
        'temperature': 0.7,
    }
))

[cornelcroi]

Hey @octo-patch, two things must be fixed before this can merge. First, is defined twice — once in and again locally in . The classifier should import from instead of redefining its own constant. Second, there is no docs page under for or — every other built-in agent/classifier has one, and per project rules a working code example is required before this can merge.

TypeScript parity is also missing — that does not need to be in this PR, but it should at minimum be tracked in a follow-up issue.