coderabbitai[bot]
commented
3 months ago Walkthrough
The recent changes transform the API for managing large language model (LLM) metadata, enhancing clarity and functionality. Key updates include renaming endpoints and functions to better reflect their purposes, shifting to a metadata-driven approach, and introducing new YAML configurations for LLM parameters. The modifications aim to improve usability and flexibility, enabling users to customize model behaviors more effectively.
Changes
| Files | Change Summary |
|---|---|
kairon/api/app/.../bot.py |
Renamed endpoint from "/llm/models" to "/metadata/llm"; function updated to reflect metadata retrieval instead of model listing. |
kairon/shared/llm/.../processor.py |
Renamed method from get_llm_models to fetch_llm_metadata; updated logic to retrieve metadata directly from Utility.llm_metadata. |
kairon/shared/utils.py |
Introduced new class attributes for LLM metadata management; added method for loading metadata from a YAML file. |
metadata/integrations.yml |
Removed OpenAI model configuration block, simplifying model interaction settings. |
metadata/llm_metadata.yml |
New file defining a JSON schema for LLM configurations, enhancing customization of model behavior. |
tests/integration_test/services_test.py |
Renamed test functions to align with metadata retrieval; updated test cases for new LLM types and response validation. |
tests/testing_data/system.yaml |
Added llm_metadata_file parameter to specify path for LLM metadata configuration. |
tests/unit_test/utility_test.py |
Updated test case to focus on "gemini" LLM hyperparameters instead of "claude", reflecting updated testing priorities. |
Sequence Diagram(s)
sequenceDiagram
participant User
participant API
participant LLMProcessor
participant Utility
User->>API: Request metadata for LLM
API->>LLMProcessor: Fetch LLM metadata
LLMProcessor->>Utility: Load metadata from file
Utility-->>LLMProcessor: Return loaded metadata
LLMProcessor-->>API: Return LLM metadata
API-->>User: Respond with LLM metadata🐇 In the meadow, changes bloom,
New endpoints sprout, dispel the gloom.
With metadata fresh and bright,
Models dance in pure delight!
Hop, hop, cheer, let’s celebrate,
For every change, we elevate! 🎉
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Summary by CodeRabbit
New Features
Bug Fixes
Chores