llm-output

Repair malformed JSON from LLMs, APIs, logs, and user input in Python.

Repair invalid JSON documents in Ruby: malformed LLM output, missing quotes and commas, unquoted keys, Markdown fences, NDJSON, comments, and more.

Sanitizes unescaped newlines, control characters, single-quoted keys, and trailing commas in model tool call JSON

Sanitizes unescaped newlines, control characters, single-quoted keys, and trailing commas in model tool call JSON

Fix broken markdown that LLMs generate — tables, lists, emphasis, code fences. Zero dependencies, one function.

Cute beavers gnaw your Unicode & ASCII box tables into Markdown pipe tables.

Extract valid JSON from an LLM response, even when wrapped in reasoning/thinking tags, markdown fences or prose. Zero dependencies.

Node.js AI agent output checker and workflow report generator with JSON schemas, and safe reuse checks.

Robust extraction of structured payloads from LLM output via sentinel blocks (<<<TAG>>> … <<<END>>>). Survives quotes, newlines & braces that break JSON.parse. 10 language ports, one spec.

FORENSIC ARTIFACT: LLM-generated content from a cross-session data leak via OpenCode Zen. Not authored by this account. See github.com/nexusrootlab/incident

把大模型不稳定、不规范、不可直接消费的输出，转换为稳定、可验证、可追踪的结构化结果 | LLM output cleaner: syntax cleaning, structure repair, semantic validation with full audit trail