Multi-step prompt sequences for complex AI workflows.
57 tools found
Multi-step prompt workflow that migrates legacy codebases using sandbox agents to isolate shell commands and file edits while keeping orchestration
A lightweight Qdrant vector search fixture with embeddings and a small article set, derived from the Cookbook Qdrant search example.
Promptfoo example for OrcaRouter, an OpenAI-compatible adaptive routing gateway to multiple upstream models.
A Promptfoo example comparing GPT-5.4 against GPT-5.4 Mini on riddles and reasoning tasks, checking cost, latency, and answer quality.
Promptfoo example for writing a custom Python provider that calls OpenAI, with config loaded from external files.
Promptfoo example comparing QuiverAI's Arrow SVG models across text-to-SVG, image vectorization, and a GPT Image-2 pipeline, LLM-judged.
Promptfoo example building a custom Ruby provider for OpenAI and validating output with custom Ruby assertions.
A cookbook guide to building a GPT-5.1 coding agent with the Agents SDK that scaffolds, edits, and iterates on a codebase.
Cluster OpenAI embeddings with k-means, visualize them in 2D, and auto-name clusters with GPT-4.
Prepare a Wikipedia article dataset for semantic search: collect, chunk, embed, and store as CSV.
Generate and save OpenAI embeddings for a large dataset, using 1,000 Amazon fine-food reviews as the example.
Jupyter notebook demonstrating how to embed text using OpenAI's text-embedding-3-small model with rate-limit management via exponential backoff.
