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Upgrade default MiniMax model to M3 #94

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Upgrade default MiniMax model to M3 #94

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2 changes: 1 addition & 1 deletion README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -201,7 +201,7 @@ export RECAPTION_PROVIDER="minimax"
export MINIMAX_API_KEY="your-minimax-api-key"
```

Uses the [MiniMax](https://www.minimax.io/) OpenAI-compatible API with the `MiniMax-M2.7` model by default. You can also use `MiniMax-M2.7-highspeed` for faster responses.
Uses the [MiniMax](https://www.minimax.io/) OpenAI-compatible API with the `MiniMax-M3` model by default. You can also use `MiniMax-M2.7` or `MiniMax-M2.7-highspeed` for the previous generation (set via `OPENAI_COMPATIBLE_MODEL`).

**Option 3: Any OpenAI-compatible API**

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2 changes: 1 addition & 1 deletion agent/config.py
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Expand Up @@ -13,7 +13,7 @@
# ---------------------------------------------------------------------------
# Supported values: "gemini" (default), "openai_compatible", "minimax"
# When set to "minimax", uses the OpenAI-compatible provider with MiniMax
# defaults (base URL: https://api.minimax.io/v1, model: MiniMax-M2.7).
# defaults (base URL: https://api.minimax.io/v1, model: MiniMax-M3).
RECAPTION_PROVIDER: str = os.environ.get("RECAPTION_PROVIDER", "gemini")

# ---------------------------------------------------------------------------
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6 changes: 3 additions & 3 deletions agent/llm_provider.py
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Expand Up @@ -119,7 +119,7 @@ class OpenAICompatibleProvider(LLMProvider):
- ``OPENAI_COMPATIBLE_API_KEY`` or ``MINIMAX_API_KEY``: API key.
- ``OPENAI_COMPATIBLE_BASE_URL``: Base URL (default: MiniMax
``https://api.minimax.io/v1``).
- ``OPENAI_COMPATIBLE_MODEL``: Model name (default: ``MiniMax-M2.7``).
- ``OPENAI_COMPATIBLE_MODEL``: Model name (default: ``MiniMax-M3``).
"""

def __init__(
Expand All @@ -141,7 +141,7 @@ def __init__(
)
self._model = (
model
or os.environ.get("OPENAI_COMPATIBLE_MODEL", "MiniMax-M2.7")
or os.environ.get("OPENAI_COMPATIBLE_MODEL", "MiniMax-M3")
)

def _get_client(self) -> Any:
Expand Down Expand Up @@ -202,7 +202,7 @@ def get_recaption_provider() -> LLMProvider:

When ``"minimax"`` is selected, the OpenAI-compatible provider is used
with MiniMax defaults (``https://api.minimax.io/v1``, model
``MiniMax-M2.7``).
``MiniMax-M3``).
"""
provider_name = os.environ.get("RECAPTION_PROVIDER", "gemini").lower()
provider_cls = _PROVIDERS.get(provider_name)
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4 changes: 2 additions & 2 deletions tests/test_integration.py
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Expand Up @@ -41,7 +41,7 @@ def test_minimax_provider_generate(self):
provider = OpenAICompatibleProvider(
api_key=os.environ["MINIMAX_API_KEY"],
base_url="https://api.minimax.io/v1",
model="MiniMax-M2.7",
model="MiniMax-M3",
)
result = provider.generate(
system_prompt="You are a helpful assistant.",
Expand Down Expand Up @@ -79,7 +79,7 @@ def test_minimax_temperature_boundaries(self):
provider = OpenAICompatibleProvider(
api_key=os.environ["MINIMAX_API_KEY"],
base_url="https://api.minimax.io/v1",
model="MiniMax-M2.7",
model="MiniMax-M3",
)
# Should not raise with edge temperature values
result = provider.generate(
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2 changes: 1 addition & 1 deletion tests/test_llm_provider.py
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Expand Up @@ -160,7 +160,7 @@ def test_defaults_to_minimax(self):
provider = OpenAICompatibleProvider()
assert provider._api_key == "mm-key"
assert "minimax" in provider._base_url.lower()
assert provider._model == "MiniMax-M2.7"
assert provider._model == "MiniMax-M3"

def test_explicit_params(self):
provider = OpenAICompatibleProvider(
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