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LLM Models API

The LLM Models API retrieves available language models for use with Unique AI.

Overview

Get the list of AI models available for chat completions and other operations.

Methods

unique_sdk.LLMModels.get_models - Get available models

Compatibility

Compatible with release >.46

Get available LLM models, optionally filtered by module.

Parameters:

  • module (str | None, optional) - Filter by module (currently only "UNIQUE_AI" supported)

Returns:

Returns a LLMModels.LLMModelsResponse object.

Example:

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models = unique_sdk.LLMModels.get_models(
    user_id=user_id,
    company_id=company_id,
    module="UNIQUE_AI"
)

for model_id in models.models:
    print(f"Model: {model_id}")

Example - List All Models:

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models = unique_sdk.LLMModels.get_models(
    user_id=user_id,
    company_id=company_id
)

# Print all available model IDs
for model_id in models.models:
    print(f"Model ID: {model_id}")

Use Cases

Model Availability Check 
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def is_model_available(model_name):
    """Check if a specific model is available."""

    models = unique_sdk.LLMModels.get_models(
        user_id=user_id,
        company_id=company_id
    )

    return model_name in models.models

# Check before using
if is_model_available("AZURE_GPT_4o_2024_1120"):
    # Use the model
    completion = unique_sdk.ChatCompletion.create(
        model="AZURE_GPT_4o_2024_1120",
        ...
    )
else:
    # Fallback to another model
    print("Model not available, using fallback")

Return Types

LLMModels.LLMModelsResponse

The LLMModels.LLMModelsResponse object contains a list of available model IDs

Fields:

  • models (List[str]) - List of available model identifier strings

Returned by: LLMModels.get_models()