Add MiniMax as alternative LLM provider for Moirai Agent#254
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Introduce a provider abstraction layer (llm_provider.py) that translates between OpenAI's Responses API and the standard Chat Completions API, enabling MiniMax (M2.7/M2.5) and other OpenAI-compatible providers to power the ctx_forecast MCP agent alongside the existing OpenAI backend. Changes: - New llm_provider.py with OpenAIResponsesProvider and ChatCompletionsProvider - MCPClient now uses create_llm_provider() factory instead of direct OpenAI SDK - config.py updated with provider selection docs and MiniMax config example - README.md documents MiniMax setup with model table - 30 unit tests + 4 integration tests (text, tool calling, multi-turn)
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Summary
Add MiniMax as an alternative LLM provider for the ctx_forecast Moirai Agent, alongside the existing OpenAI backend.
What changed
llm_provider.py— provider abstraction that translates between OpenAI Responses API and Chat Completions API. IncludesOpenAIResponsesProviderandChatCompletionsProvider.mcp_client.py— replaced directOpenAI()client withcreate_llm_provider(config)factory. Existing OpenAI behavior fully preserved.config.py— added"provider"field documentation and MiniMax config example.README.md— documented MiniMax setup with model table.Models supported
MiniMax-M2.7MiniMax-M2.7-highspeedMiniMax-M2.5MiniMax-M2.5-highspeedTest plan