Llm bot id classifier #1647
Llm bot id classifier #1647
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🧹 Outside diff range and nitpick comments (1)
kairon/train.py (1)
44-44: LGTM! Consider adding validation.The assignment of
bot_idto the LLMClassifier pipeline is correct, but consider adding validation to ensure robustness.Consider this improvement:
- config['pipeline'][index]['bot_id']= bot + if not bot: + raise ValueError("bot_id cannot be empty for LLMClassifier") + config['pipeline'][index]['bot_id'] = bot
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📒 Files selected for processing (1)
kairon/train.py(1 hunks)
🔇 Additional comments (1)
kairon/train.py (1)
43-45: Verify LLMClassifier configuration requirements.
Let's verify if the LLMClassifier requires any additional configuration parameters along with bot_id.
✅ Verification successful
Let me gather more information about the LLMClassifier implementation.
Let me try one more search pattern to find the LLMClassifier implementation and its configuration.
LLMClassifier configuration is correctly set with bot_id parameter
Looking at the LLMClassifier implementation, the current configuration is correct. The class requires bot_id as a mandatory parameter which is used to load the LLM API key. The default configuration shows other optional parameters like prediction_model, embedding_model, embedding_size, top_k, and temperature which are already set with default values in the get_default_config() method.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for LLMClassifier implementation to verify required parameters
ast-grep --pattern 'class LLMClassifier {
$$$
}'
# Search for any documentation or configuration examples
rg -g '!*.pyc' -g '!*.log' "kairon.nlu.LLMClassifier" -A 5
Length of output: 1068
Script:
#!/bin/bash
# Search for LLMClassifier file
fd "llm_classifier.py" --exec cat {}
# Search for any configuration examples or documentation
rg -g '!*.pyc' "LLMClassifier" -A 10 -B 2 "docs/"
# Search for any test cases that might show configuration
rg -g '!*.pyc' "LLMClassifier" -A 10 "tests/"
Length of output: 736
Script:
#!/bin/bash
# Search in nlu directory for LLMClassifier
fd . "kairon/nlu" --exec cat {}
# Search for pipeline configuration examples
rg -g '!*.pyc' "pipeline.*LLMClassifier" -A 5
Length of output: 11263
Summary by CodeRabbit