io.github.MukundaKatta

Structured-output enforcer: extract and validate JSON from messy LLM text.

Token-aware message truncation: fit a chat history into your model's context budget.

Snapshot tests for AI tool-call traces: diff, validate, and catch silent regressions.

Validate tool-call args before execution. Returns LLM-friendly retry hints.

Inject, parse, and strip [N] citation markers in RAG outputs.

Reliable CSV parsing + generation. Handles quotes, embedded commas, BOMs, CRLF.

Character-precise unified diff + patch application + patch parsing.

Run JMESPath queries against JSON. Pure JS, no native binary needed.

Parse JSON5 (comments, trailing commas, unquoted keys) and emit strict JSON.

Token-budget-aware text handling: count, truncate, and chunk for LLM prompts.

Diagnose RAG drift: interpret scores, recommend thresholds, explain dimensions.

RAG retrieval IR metrics: recall@k, hit@k, MRR, NDCG@k, evaluate_batch.

Trustworthy JS regex testing. Real offsets, named groups, safe against zero-width loops.

Safe shell argument escaping for bash, cmd.exe, and PowerShell.

Deterministic SQL formatting across 19 dialects (postgres, mysql, snowflake, bigquery, etc.).

Parse partial / truncated / messy JSON for LLM tool calls and structured outputs.

IANA timezone conversions with real DST rules.

Parse, format, and convert configs across TOML, YAML, and JSON.