Siddhant Rai 3f7de867cc feat: model registry and capabilities for multi-provider support (#2158) ...

* 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

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Co-authored-by: Alex <a@tushynski.me>

2025-11-14 13:13:19 +02:00

..

handlers

test: implement full API test suite with mongomock and centralized fixtures (#2068)

2025-10-17 12:01:14 +03:00

test_anthropic_llm.py

feat: model registry and capabilities for multi-provider support (#2158)

2025-11-14 13:13:19 +02:00

test_google_llm.py

ruff-fix

2025-10-01 02:23:53 +05:30

test_openai_llm.py

test: add agent test coverage and standardize test suite (#2051)

2025-10-13 14:43:35 +03:00

test_sagemaker.py

fix: tests

2024-12-20 18:13:37 +00:00