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3f7de867cc
* feat: Implement model registry and capabilities for multi-provider support - Added ModelRegistry to manage available models and their capabilities. - Introduced ModelProvider enum for different LLM providers. - Created ModelCapabilities dataclass to define model features. - Implemented methods to load models based on API keys and settings. - Added utility functions for model management in model_utils.py. - Updated settings.py to include provider-specific API keys. - Refactored LLM classes (Anthropic, OpenAI, Google, etc.) to utilize new model registry. - Enhanced utility functions to handle token limits and model validation. - Improved code structure and logging for better maintainability. * feat: Add model selection feature with API integration and UI component * feat: Add model selection and default model functionality in agent management * test: Update assertions and formatting in stream processing tests * refactor(llm): Standardize model identifier to model_id * fix tests --------- Co-authored-by: Alex <a@tushynski.me>
92 lines
2.9 KiB
Python
92 lines
2.9 KiB
Python
from typing import Any, Dict, Optional
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from application.core.model_settings import ModelRegistry
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def get_api_key_for_provider(provider: str) -> Optional[str]:
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"""Get the appropriate API key for a provider"""
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from application.core.settings import settings
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provider_key_map = {
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"openai": settings.OPENAI_API_KEY,
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"anthropic": settings.ANTHROPIC_API_KEY,
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"google": settings.GOOGLE_API_KEY,
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"groq": settings.GROQ_API_KEY,
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"huggingface": settings.HUGGINGFACE_API_KEY,
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"azure_openai": settings.API_KEY,
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"docsgpt": None,
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"llama.cpp": None,
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}
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provider_key = provider_key_map.get(provider)
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if provider_key:
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return provider_key
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return settings.API_KEY
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def get_all_available_models() -> Dict[str, Dict[str, Any]]:
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"""Get all available models with metadata for API response"""
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registry = ModelRegistry.get_instance()
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return {model.id: model.to_dict() for model in registry.get_enabled_models()}
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def validate_model_id(model_id: str) -> bool:
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"""Check if a model ID exists in registry"""
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registry = ModelRegistry.get_instance()
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return registry.model_exists(model_id)
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def get_model_capabilities(model_id: str) -> Optional[Dict[str, Any]]:
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"""Get capabilities for a specific model"""
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registry = ModelRegistry.get_instance()
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model = registry.get_model(model_id)
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if model:
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return {
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"supported_attachment_types": model.capabilities.supported_attachment_types,
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"supports_tools": model.capabilities.supports_tools,
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"supports_structured_output": model.capabilities.supports_structured_output,
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"context_window": model.capabilities.context_window,
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}
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return None
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def get_default_model_id() -> str:
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"""Get the system default model ID"""
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registry = ModelRegistry.get_instance()
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return registry.default_model_id
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def get_provider_from_model_id(model_id: str) -> Optional[str]:
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"""Get the provider name for a given model_id"""
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registry = ModelRegistry.get_instance()
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model = registry.get_model(model_id)
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if model:
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return model.provider.value
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return None
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def get_token_limit(model_id: str) -> int:
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"""
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Get context window (token limit) for a model.
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Returns model's context_window or default 128000 if model not found.
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"""
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from application.core.settings import settings
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registry = ModelRegistry.get_instance()
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model = registry.get_model(model_id)
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if model:
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return model.capabilities.context_window
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return settings.DEFAULT_LLM_TOKEN_LIMIT
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def get_base_url_for_model(model_id: str) -> Optional[str]:
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"""
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Get the custom base_url for a specific model if configured.
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Returns None if no custom base_url is set.
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"""
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registry = ModelRegistry.get_instance()
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model = registry.get_model(model_id)
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if model:
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return model.base_url
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return None
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