LLMs struggle when asked to generate or modify large JSON blobs. trustcall solves this by asking the LLM to generate JSON patch operations. This is a simpler task that can be done iteratively. This enables:
⚡ Faster & cheaper generation of structured output.
🐺Resilient retrying of validation errors, even for complex, nested schemas (defined as pydantic, schema dictionaries, or regular python functions)
🧩Acccurate updates to existing schemas, avoiding undesired deletions.
Works flexibly across a number of common LLM workflows like:
✂️ Extraction
🧭 LLM routing
🤖 Multi-step agent tool use
GitHub repo: github.com/hin...
Негізгі бет trustcall: Reliable and efficient structure data extraction using JSON patch operations
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