Generate a chat completion using a Mistral model.

When to use:

• Drafting French (or any European-language) content where Mistral shines.

• Codestral for code-specific generation/review.

• Ministral for cheap / low-latency classification.

Returns structured content with the assistant text and token usage. Does NOT stream — use mistral_chat_stream for long outputs with progress updates.

Fill-in-the-middle code completion with Codestral.

Given prompt (code preceding the cursor) and suffix (code after the cursor), Codestral writes the middle. Use for editor autocomplete scenarios, code-patching agents, or structured refactors where you know the target boundaries.

Default stop tokens: [] — let the model decide. Override with stop if needed.

Chat completion with multimodal input: text + image_url parts.

Requires a vision-capable model. Accepted:

• pixtral-large-latest

• pixtral-12b-latest

• mistral-large-latest

• mistral-medium-latest

• mistral-small-latest

Each message's content is either a plain string (pure text) or an array of parts { type: 'text', text } / { type: 'image_url', imageUrl }. The image URL can be an https URL or a data: URI base64 payload.

Returns the assistant text + token usage. For non-visual requests, prefer mistral_chat.

Run Mistral OCR on a PDF or image, returning structured markdown per page.

Input document is one of:

• { type: "document_url", documentUrl: "https://...pdf" }

• { type: "image_url", imageUrl: "https://..." | "data:image/..." }

• { type: "file", fileId: "" }

Options:

• pages: array of 0-indexed page numbers or string like "0-5,7".

• tableFormat: 'markdown' (default) or 'html'.

• extractHeader / extractFooter: include page header/footer when present.

• includeImageBase64: embed extracted image bytes as base64 in the response.

• document_annotation_format: JSON schema for whole-document structured extraction.

• bbox_annotation_format: JSON schema for extracted image / bbox annotations.

• confidence_scores_granularity: 'page', 'word', or 'block'. 'block' adds per-block content/type confidence under pages[].blocks[].confidence_scores and requires OCR 4.1 or newer.

• includeBlocks: return paragraph-level blocks (bounding box + type) in reading order — titles, lists, tables, images, equations, captions, code, references, aside text, header, footer, signature. Requires OCR 4 (mistral-ocr-4-0) or newer; older models accept the flag but return an empty blocks array.

Returns pages[].markdown plus optional pages[].hyperlinks, header, footer, images bounding boxes, blocks, annotations, confidence scores, and dimensions.

Transcribe an audio file to text using Mistral Voxtral.

Accepted models:

• voxtral-mini-latest

• voxtral-small-latest

Audio source is one of:

• { type: "file_url", fileUrl: "https://..." } (public URL)

• { type: "file", fileId: "" }

Options:

• language: ISO-639-1 hint (e.g. 'fr', 'en'). Boosts accuracy when known.

• temperature: sampling temperature.

• diarize: return per-speaker segments (default false).

• timestampGranularities: ['segment'] to return per-segment timestamps.

• contextBias: list of phrases/terms that should bias the decoder.

Returns plain text, detected language, optional segments[], and token usage.

Single-call pipeline: provided text/Markdown or Mistral OCR → classify (if kind=auto) → typed extraction → validation. source.type=text skips OCR and Files uploads. Text with kind=generic makes no API calls; classification and typed extraction use Mistral chat. Results expose extraction_source. Provided text has null ocr_confidence and page_count; ocr_text contains the supplied text unchanged. Replaces the manual chain of mistral_ocr + mistral_chat + JSON parsing.

Kinds: contract | invoice | id_document | generic. Use kind=auto to let the server classify. Returns a discriminated union — switch on kind to access typed fields. Validation checks schema and, for OCR sources, OCR confidence; not factual or accounting accuracy. Typed extraction rejects text longer than 60000 characters rather than truncating it.

Cache keys include source, kind, page limit, endpoint, models and pipeline version. Override location with MISTRAL_MCP_CACHE_DIR. Override mode with options.cache. Default cache mode is 'read_write' EXCEPT for kind=id_document (auto-bypass to avoid persisting PII). Set options.cache='read_write' explicitly to opt in for id documents.

options.maxPages and options.minOcrConfidence apply only to OCR sources. The confidence floor defaults to 0.3. Below the floor the tool returns isError. Missing or partial confidence scores also return isError; use mistral_ocr directly if you need raw OCR without a confidence guarantee. 0.3 is a conservative starting point, not a measured one: calibrate it for your corpus with npm run eval:docs.