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Add Mistral model support to OpenAIChatCompletionClient #7333

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101 changes: 101 additions & 0 deletions python/packages/autogen-ext/src/autogen_ext/models/openai/_model_info.py
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Original file line number Diff line number Diff line change
Expand Up @@ -46,6 +46,16 @@
"llama-3.3-70b": "Llama-3.3-70B-Instruct",
"llama-4-scout": "Llama-4-Scout-17B-16E-Instruct-FP8",
"llama-4-maverick": "Llama-4-Maverick-17B-128E-Instruct-FP8",
# Mistral models
"mistral-large-latest": "mistral-large-2411",
"mistral-small-latest": "mistral-small-2503",
"codestral-latest": "codestral-2501",
"mistral-embed": "mistral-embed",
"pixtral-large-latest": "pixtral-large-2411",
"pixtral-12b-2409": "pixtral-12b-2409",
"open-mistral-nemo": "open-mistral-nemo-2407",
"ministral-8b-latest": "ministral-8b-2410",
"open-codestral-mamba": "open-codestral-mamba",
}

_MODEL_INFO: Dict[str, ModelInfo] = {
Expand Down Expand Up @@ -441,6 +451,79 @@
"structured_output": True,
"multiple_system_messages": True,
},
# Mistral models
"mistral-large-2411": {
"vision": True,
"function_calling": True,
"json_output": True,
"family": ModelFamily.MISTRAL,
"structured_output": True,
"multiple_system_messages": False,
},
"mistral-small-2503": {
"vision": True,
"function_calling": True,
"json_output": True,
"family": ModelFamily.MISTRAL,
"structured_output": True,
"multiple_system_messages": False,
},
"codestral-2501": {
"vision": False,
"function_calling": True,
"json_output": True,
"family": ModelFamily.CODESRAL,
"structured_output": True,
"multiple_system_messages": False,
},
"mistral-embed": {
"vision": False,
"function_calling": False,
"json_output": False,
"family": ModelFamily.MISTRAL,
"structured_output": False,
"multiple_system_messages": False,
},
"pixtral-large-2411": {
"vision": True,
"function_calling": True,
"json_output": True,
"family": ModelFamily.PIXTRAL,
"structured_output": True,
"multiple_system_messages": False,
},
"pixtral-12b-2409": {
"vision": True,
"function_calling": True,
"json_output": True,
"family": ModelFamily.PIXTRAL,
"structured_output": False,
"multiple_system_messages": False,
},
"open-mistral-nemo-2407": {
"vision": False,
"function_calling": True,
"json_output": True,
"family": ModelFamily.MISTRAL,
"structured_output": False,
"multiple_system_messages": False,
},
"ministral-8b-2410": {
"vision": False,
"function_calling": True,
"json_output": True,
"family": ModelFamily.MINISTRAL,
"structured_output": False,
"multiple_system_messages": False,
},
"open-codestral-mamba": {
"vision": False,
"function_calling": False,
"json_output": True,
"family": ModelFamily.OPEN_CODESRAL_MAMBA,
"structured_output": False,
"multiple_system_messages": False,
},
}

_MODEL_TOKEN_LIMITS: Dict[str, int] = {
Expand Down Expand Up @@ -491,11 +574,29 @@
"Llama-3.3-70B-Instruct": 128000,
"Llama-4-Scout-17B-16E-Instruct-FP8": 128000,
"Llama-4-Maverick-17B-128E-Instruct-FP8": 128000,
# Mistral models
"mistral-large-2411": 128000,
"mistral-small-2503": 32000,
"codestral-2501": 256000,
"mistral-embed": 8192,
"pixtral-large-2411": 128000,
"pixtral-12b-2409": 128000,
"open-mistral-nemo-2407": 128000,
"ministral-8b-2410": 128000,
"open-codestral-mamba": 256000,
}

GEMINI_OPENAI_BASE_URL = "https://generativelanguage.googleapis.com/v1beta/openai/"
ANTHROPIC_OPENAI_BASE_URL = "https://api.anthropic.com/v1/"
LLAMA_API_BASE_URL = "https://api.llama.com/compat/v1/"
MISTRAL_API_BASE_URL = "https://api.mistral.ai/v1/"

_MISTRAL_MODEL_PREFIXES = ("mistral-", "codestral-", "pixtral-", "ministral-", "open-mistral-", "open-codestral-")


def is_mistral_model(model: str) -> bool:
"""Check if a model name corresponds to a Mistral AI model."""
return model.startswith(_MISTRAL_MODEL_PREFIXES)


def resolve_model(model: str) -> str:
Expand Down
5 changes: 5 additions & 0 deletions python/packages/autogen-ext/src/autogen_ext/models/openai/_openai_client.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1480,6 +1480,11 @@ def __init__(self, **kwargs: Unpack[OpenAIClientConfiguration]):
copied_args["base_url"] = _model_info.LLAMA_API_BASE_URL
if "api_key" not in copied_args and "LLAMA_API_KEY" in os.environ:
copied_args["api_key"] = os.environ["LLAMA_API_KEY"]
if _model_info.is_mistral_model(copied_args["model"]):
if "base_url" not in copied_args:
copied_args["base_url"] = _model_info.MISTRAL_API_BASE_URL
if "api_key" not in copied_args and "MISTRAL_API_KEY" in os.environ:
copied_args["api_key"] = os.environ["MISTRAL_API_KEY"]

client = _openai_client_from_config(copied_args)
create_args = _create_args_from_config(copied_args)
Expand Down