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CHAINFORGE
Visual prompt engineering and LLM evaluation environment
MIT
ABOUT
Prompt engineering for LLMs is typically done by manually sending prompts to individual model UIs, making it hard to compare responses systematically or test prompt variations at scale. ChainForge solves this with a visual environment where developers can send prompts to multiple LLMs simultaneously, compare responses side by side, run prompt variations as experiments, and evaluate results with custom scoring functions — all without writing code.
INSTALL
pip install chainforgeINTEGRATION GUIDE
1. Compare how different LLMs respond to the same prompt to select the best model for your use case
2. Systematically test prompt variations across multiple models to find the most effective formulation
3. Create an evaluation pipeline that scores LLM responses against ground truth answers with custom metrics
4. Visualize how prompt changes affect model outputs with side-by-side comparisons and statistical charts
5. Build a prompt regression suite that catches regressions when switching between LLM models or versions
TAGS
prompt-engineeringllmevaluationvisual-programmingtestingpythonweb-app