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[PR #603] [CLOSED] feat: upgrade MiniMax default model to M2.7 #15292

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opened 2026-07-15 07:16:56 -05:00 by GiteaMirror · 0 comments
GiteaMirror commented 2026-07-15 07:16:56 -05:00
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📋 Pull Request Information

Original PR: https://github.com/Shubhamsaboo/awesome-llm-apps/pull/603
Author: @octo-patch
Created: 3/18/2026
Status: ❌ Closed

Base: main ← Head: feature/upgrade-minimax-m27

📝 Commits (2)

  • f921c23 Add MiniMax M2.5 as an LLM provider option
  • a6802bc feat: upgrade MiniMax default model to M2.7

📊 Changes

5 files changed (+103 additions, -2 deletions)

View changed files

📝 README.md (+2 -1)
📝 advanced_llm_apps/llm_apps_with_memory_tutorials/multi_llm_memory/multi_llm_memory.py (+16 -1)
➕ starter_ai_agents/minimax_research_agent/README.md (+45 -0)
➕ starter_ai_agents/minimax_research_agent/minimax_research_agent.py (+36 -0)
➕ starter_ai_agents/minimax_research_agent/requirements.txt (+4 -0)

📄 Description

Summary

  • Upgrade MiniMax Research Agent from M2.5 to M2.7 (latest flagship model with enhanced reasoning and coding)
  • Upgrade Multi-LLM Memory example from M2.5 to M2.7
  • Update documentation to reflect M2.7 capabilities

Changes

  • starter_ai_agents/minimax_research_agent/minimax_research_agent.py: model ID M2.5 -> M2.7
  • starter_ai_agents/minimax_research_agent/README.md: documentation updated
  • advanced_llm_apps/llm_apps_with_memory_tutorials/multi_llm_memory/multi_llm_memory.py: model ID and UI labels M2.5 -> M2.7

Why

MiniMax-M2.7 is the latest flagship model with enhanced reasoning and coding capabilities, replacing M2.5 as the recommended default.

Testing

  • Integration tested with MiniMax API - M2.7 responds correctly via OpenAI-compatible endpoint
  • All existing functionality preserved (API key input, web search, memory features)

🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/Shubhamsaboo/awesome-llm-apps/pull/603 **Author:** [@octo-patch](https://github.com/octo-patch) **Created:** 3/18/2026 **Status:** ❌ Closed **Base:** `main` ← **Head:** `feature/upgrade-minimax-m27` --- ### 📝 Commits (2) - [`f921c23`](https://github.com/Shubhamsaboo/awesome-llm-apps/commit/f921c23fd4f6191e46b2f259b80dffc850b7592c) Add MiniMax M2.5 as an LLM provider option - [`a6802bc`](https://github.com/Shubhamsaboo/awesome-llm-apps/commit/a6802bc41c222c052020e1b6928043055a562a94) feat: upgrade MiniMax default model to M2.7 ### 📊 Changes **5 files changed** (+103 additions, -2 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+2 -1) 📝 `advanced_llm_apps/llm_apps_with_memory_tutorials/multi_llm_memory/multi_llm_memory.py` (+16 -1) ➕ `starter_ai_agents/minimax_research_agent/README.md` (+45 -0) ➕ `starter_ai_agents/minimax_research_agent/minimax_research_agent.py` (+36 -0) ➕ `starter_ai_agents/minimax_research_agent/requirements.txt` (+4 -0) </details> ### 📄 Description ## Summary - Upgrade MiniMax Research Agent from M2.5 to M2.7 (latest flagship model with enhanced reasoning and coding) - Upgrade Multi-LLM Memory example from M2.5 to M2.7 - Update documentation to reflect M2.7 capabilities ## Changes - `starter_ai_agents/minimax_research_agent/minimax_research_agent.py`: model ID M2.5 -> M2.7 - `starter_ai_agents/minimax_research_agent/README.md`: documentation updated - `advanced_llm_apps/llm_apps_with_memory_tutorials/multi_llm_memory/multi_llm_memory.py`: model ID and UI labels M2.5 -> M2.7 ## Why MiniMax-M2.7 is the latest flagship model with enhanced reasoning and coding capabilities, replacing M2.5 as the recommended default. ## Testing - Integration tested with MiniMax API - M2.7 responds correctly via OpenAI-compatible endpoint - All existing functionality preserved (API key input, web search, memory features) --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
GiteaMirror added the pull-request label 2026-07-15 07:16:56 -05:00
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Reference: github-starred/awesome-llm-apps#15292
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