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feat: upgrade MiniMax default model from M2.5 to M2.7 (#606)

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* feat: upgrade MiniMax default model from M2.5 to M2.7

MiniMax has released MiniMax-M2.7, their latest model with a 1M context
window (up from 204K). This updates the default model across config,
docs, and examples. M2.5 remains fully compatible for users who prefer it.

- Update PROVIDER_DEFAULT_MODELS to MiniMax-M2.7
- Update .env.example and documentation references
- Add test_minimax_provider.py with M2.7 and backward compat tests

* chore: remove test file per review feedback

---------

Co-authored-by: PR Bot <pr-bot@minimaxi.com>
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Octopus 2026-03-18 11:15:20 -05:00 committed by GitHub
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6 changed files with 14 additions and 14 deletions
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4
.env.example
View file

@ -20,10 +20,10 @@ HINDSIGHT_API_LLM_BASE_URL=https://api.openai.com/v1
# HINDSIGHT_API_LLM_VERTEXAI_REGION=us-central1
# HINDSIGHT_API_LLM_VERTEXAI_SERVICE_ACCOUNT_KEY=/path/to/service-account-key.json # Optional, uses ADC if not set
# Example: MiniMax configuration (204K context window)
# Example: MiniMax configuration (1M context window)
# HINDSIGHT_API_LLM_PROVIDER=minimax
# HINDSIGHT_API_LLM_API_KEY=your-minimax-api-key
# HINDSIGHT_API_LLM_MODEL=MiniMax-M2.5
# HINDSIGHT_API_LLM_MODEL=MiniMax-M2.7
# Example: LM Studio local configuration (Qwen 2.5 32B recommended)
# HINDSIGHT_API_LLM_PROVIDER=lmstudio

2
hindsight-api-slim/hindsight_api/config.py
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@ -356,7 +356,7 @@ PROVIDER_DEFAULT_MODELS = {
"anthropic": "claude-haiku-4-5-20251001",
"gemini": "gemini-2.5-flash",
"groq": "openai/gpt-oss-120b",
"minimax": "MiniMax-M2.5",
"minimax": "MiniMax-M2.7",
"ollama": "gemma3:12b",
"lmstudio": "local-model",
"vertexai": "google/gemini-2.5-flash-lite",

4
hindsight-api-slim/hindsight_api/engine/providers/openai_compatible_llm.py
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@ -6,7 +6,7 @@ This provider handles all OpenAI API-compatible models including:
- Groq: Fast inference with seed control and service tiers
- Ollama: Local models with native streaming API support
- LMStudio: Local models with OpenAI-compatible API
- MiniMax: MiniMax-M2.5 models with 204K context window
- MiniMax: MiniMax-M2.7 models with 1M context window
Features:
- Reasoning models with extended thinking (o1, o3, GPT-5 families)
@ -48,7 +48,7 @@ class OpenAICompatibleLLM(LLMInterface):
- Groq: Fast inference with seed control and service tiers
- Ollama: Local models with native streaming API for better structured output
- LMStudio: Local models with OpenAI-compatible API
- MiniMax: MiniMax-M2.5 models via OpenAI-compatible API (https://api.minimax.io/v1)
- MiniMax: MiniMax-M2.7 models via OpenAI-compatible API (https://api.minimax.io/v1)
"""
def __init__(

6
hindsight-docs/docs/developer/models.mdx
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@ -67,7 +67,7 @@ Each provider has a recommended default model that's used when `HINDSIGHT_API_LL
| `anthropic` | `claude-haiku-4-5-20251001` |
| `gemini` | `gemini-2.5-flash` |
| `groq` | `openai/gpt-oss-120b` |
| `minimax` | `MiniMax-M2.5` |
| `minimax` | `MiniMax-M2.7` |
| `ollama` | `gemma3:12b` |
| `lmstudio` | `local-model` |
| `vertexai` | `gemini-2.0-flash-001` |
@ -149,10 +149,10 @@ export HINDSIGHT_API_LLM_PROVIDER=lmstudio
export HINDSIGHT_API_LLM_BASE_URL=http://localhost:1234/v1
export HINDSIGHT_API_LLM_MODEL=your-local-model
# MiniMax (204K context window)
# MiniMax (1M context window)
export HINDSIGHT_API_LLM_PROVIDER=minimax
export HINDSIGHT_API_LLM_API_KEY=your-minimax-api-key
export HINDSIGHT_API_LLM_MODEL=MiniMax-M2.5
export HINDSIGHT_API_LLM_MODEL=MiniMax-M2.7
# Vertex AI (Google Cloud)
export HINDSIGHT_API_LLM_PROVIDER=vertexai

6
hindsight-docs/versioned_docs/version-0.4/developer/models.mdx
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@ -67,7 +67,7 @@ Each provider has a recommended default model that's used when `HINDSIGHT_API_LL
| `anthropic` | `claude-haiku-4-5-20251001` |
| `gemini` | `gemini-2.5-flash` |
| `groq` | `openai/gpt-oss-120b` |
| `minimax` | `MiniMax-M2.5` |
| `minimax` | `MiniMax-M2.7` |
| `ollama` | `gemma3:12b` |
| `lmstudio` | `local-model` |
| `vertexai` | `gemini-2.0-flash-001` |
@ -149,10 +149,10 @@ export HINDSIGHT_API_LLM_PROVIDER=lmstudio
export HINDSIGHT_API_LLM_BASE_URL=http://localhost:1234/v1
export HINDSIGHT_API_LLM_MODEL=your-local-model
# MiniMax (204K context window)
# MiniMax (1M context window)
export HINDSIGHT_API_LLM_PROVIDER=minimax
export HINDSIGHT_API_LLM_API_KEY=your-minimax-api-key
export HINDSIGHT_API_LLM_MODEL=MiniMax-M2.5
export HINDSIGHT_API_LLM_MODEL=MiniMax-M2.7
# Vertex AI (Google Cloud)
export HINDSIGHT_API_LLM_PROVIDER=vertexai

6
skills/hindsight-docs/references/developer/models.md
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@ -65,7 +65,7 @@ Each provider has a recommended default model that's used when `HINDSIGHT_API_LL
| `anthropic` | `claude-haiku-4-5-20251001` |
| `gemini` | `gemini-2.5-flash` |
| `groq` | `openai/gpt-oss-120b` |
| `minimax` | `MiniMax-M2.5` |
| `minimax` | `MiniMax-M2.7` |
| `ollama` | `gemma3:12b` |
| `lmstudio` | `local-model` |
| `vertexai` | `gemini-2.0-flash-001` |
@ -146,10 +146,10 @@ export HINDSIGHT_API_LLM_PROVIDER=lmstudio
export HINDSIGHT_API_LLM_BASE_URL=http://localhost:1234/v1
export HINDSIGHT_API_LLM_MODEL=your-local-model
# MiniMax (204K context window)
# MiniMax (1M context window)
export HINDSIGHT_API_LLM_PROVIDER=minimax
export HINDSIGHT_API_LLM_API_KEY=your-minimax-api-key
export HINDSIGHT_API_LLM_MODEL=MiniMax-M2.5
export HINDSIGHT_API_LLM_MODEL=MiniMax-M2.7
# Vertex AI (Google Cloud)
export HINDSIGHT_API_LLM_PROVIDER=vertexai