Thought Remover
The Thought Remover component processes text to remove thought-related content, with support for language models and optimization settings.
Thought Remover interface and configuration
Component Inputs
- LLM Response: Text input
The text to process
- Language Models: Model configuration
Language model settings
- Input: Additional input data
Supplementary input for processing
- Judge LLM: Model selection
The LLM to use for judgment
- Optimization: balanced
Optimization strategy
Component Outputs
- Output: Processed text
The text with thoughts removed
- Selected Model: Model information
The model used for processing
- Cleaned Message: Final output
The cleaned message
Implementation Example
const thoughtRemover = {
llmResponse: "Let me think about this... The answer is 42.",
languageModels: ["gpt-4", "claude-3"],
input: "Additional context",
judgeLLM: "gpt-4",
optimization: "balanced"
};
// Output:
// {
// output: "The answer is 42.",
// selectedModel: "gpt-4",
// cleanedMessage: "The answer is 42."
// }Additional Resources
Best Practices
- Choose appropriate language models for your use case
- Balance optimization settings for best results
- Provide clear input context
- Validate output for accuracy