Unverified50% confidenceSolutionExact time
The SDK formatter dispatches formatting logic by message type, extracting assistant text, tool call parameters, and tool return results into structured fields respectively, then serializing them into JSON or readable text, giving the logs a stable schema.
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe essence of supporting AI coding tools is to provide token files as structured text (such as JSON), enabling LLMs to directly read semantic design variables and generate code that conforms to brand specifications.69% similarUnverifiedWhen sending requests to the Anthropic API, double serialization occurs: the SDK escapes backslashes in the prompt string again, and after the API parses the outer JSON it passes the inner string as-is to the model.69% similarUnverifiedThe input_builder callback is responsible for converting structured data into natural language prompt text, which is then passed to the sub-Agent for execution69% similarUnverifiedSemantic formatting refers to a model's ability to recognize and restore the implicit logical structure in a document, such as distinguishing heading hierarchies, list levels, and emphasized text.68% similarUnverifiedA structured Prompt is the decomposition of natural language instructions into a format with explicit fields and constraints (such as JSON, XML tags or templated sections).68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1056109API
curl https://kongchang.com/api/v1/knowledge/claims/1056109MCP
get_claim(id=1056109)