add missing llm_type based on model in hyperparameters #1675
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WalkthroughThe changes introduce a new static method Changes
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🚧 Files skipped from review as they are similar to previous changes (1)
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Actionable comments posted: 0
🧹 Nitpick comments (2)
kairon/shared/data/data_validation.py (2)
12-25: LGTM! Consider adding docstring documentation.The implementation of the caching mechanism and mapping creation is correct. The method efficiently loads the YAML file only when needed and creates a proper mapping between models and LLM types.
Consider adding a docstring to document the method's purpose, return type, and caching behavior:
@staticmethod def get_model_llm_type_map() -> dict[str, str]: + """ + Returns a mapping of model names to their corresponding LLM types. + The mapping is cached in class variable model_llm_type_map for subsequent calls. + + Returns: + dict[str, str]: A dictionary mapping model names to LLM types + """ if DataValidation.model_llm_type_map:
93-100: LGTM! Consider improving error message clarity.The validation logic for hyperparameters and automatic llm_type detection is well implemented.
Consider making the error message more descriptive:
- data_error.append("model is required in hyperparameters!") + data_error.append("The 'model' field is required in hyperparameters when llm_type is not provided!")
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📒 Files selected for processing (2)
kairon/shared/data/data_validation.py(2 hunks)tests/unit_test/data_processor/action_serializer_test.py(3 hunks)
🔇 Additional comments (2)
tests/unit_test/data_processor/action_serializer_test.py (2)
722-799: LGTM! Test coverage is comprehensive.
The test implementations thoroughly cover:
- Validation of missing model field
- Model to LLM type mapping functionality
- Caching behavior with proper mocking
- Automatic llm_type detection
Line range hint 18-18: Verify the existence and location of the LLM metadata file.
Ensure that the LLM metadata file exists at the expected location.
✅ Verification successful
Let me search for YAML files in the repository to locate the LLM metadata file.
Let me check the contents of these YAML files to verify the LLM metadata configuration.
LLM metadata file exists and is properly configured
The LLM metadata file exists at metadata/llm_metadata.yml and contains comprehensive configuration for OpenAI, Anthropic, Gemini, and Perplexity models with all required parameters and their constraints. The file in the test directory (tests/testing_data/llm_metadata.yml) also exists as a test fixture.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify the existence of the LLM metadata file
# Check if the file exists and show its contents
if [ -f "$SYSTEM_FILE" ]; then
echo "System file exists at: $SYSTEM_FILE"
cat "$SYSTEM_FILE" | grep -A 10 "openai:\|anthropic:\|gemini:\|perplexity:"
else
echo "System file not found at: $SYSTEM_FILE"
fi
Length of output: 78
Script:
#!/bin/bash
# Search for YAML files that might contain LLM configurations
fd -e yml -e yaml | xargs grep -l "openai:\|anthropic:\|gemini:\|perplexity:" 2>/dev/null || echo "No matching YAML files found"
# Also show the content of any config directories that might contain the file
fd -t d "config"
Length of output: 262
Script:
#!/bin/bash
# Show contents of the found YAML files
echo "=== metadata/llm_metadata.yml ==="
cat metadata/llm_metadata.yml
echo -e "\n=== tests/testing_data/llm_metadata.yml ==="
cat tests/testing_data/llm_metadata.yml
Length of output: 12954
Summary by CodeRabbit
New Features
Bug Fixes
Tests