Classify text into one of the provided labels using a budget model. Returns label, confidence score, and a brief reason. Useful for intent classification, routing decisions, and tagging.

Extract structured fields from long text according to a schema description. Returns a JSON object with extracted data and a list of missing fields. Useful for parsing documents, issues, logs.

Compress long text into a concise summary with bullet points and risk flags. Useful for compressing long conversations, logs, documents, or diff context before passing to the main model.

Rewrite text in a different style (concise, formal, technical, friendly, or translate between Chinese and English) without changing the core facts.

Generate small code snippets or function-level patches using a budget model. Scoped to single functions, regex, SQL, scripts, or unit test samples. NOT for multi-file or architectural designs.

Compress a git diff into a structured summary of changed areas, behavior changes, risks, and a one-paragraph overview. Helps the main model quickly understand large diffs.

Extract an actionable task list from unstructured text (meeting notes, daily reports, requirements). Returns tasks with optional owner, due date, status, and notes.