--- title: "Mistral AI Integration" description: "Run the full Mistral AI platform in your flows: chat and vision, Document AI OCR, embeddings, code completion, moderation, audio, agents, and batch processing." url: https://flowrunner.ai/integrations/mistral-ai date_modified: 2026-08-07T17:20:23-07:00 --- # Mistral AI [AI](https://flowrunner.ai/integrations/category/ai-llms) Run the full Mistral AI platform in your flows: chat and vision, Document AI OCR, embeddings, code completion, moderation, audio, agents, and batch processing. [Verified](https://flowrunner.ai/integrations/verified "What does verified mean?") · 37 actions · API key · available [Mistral AI website](https://mistral.ai/) · [Platform Documentation](https://docs.mistral.ai/) · Capability data verified 2026-08-12 1. Contract PDF arrives for review 2. Agent runs Document AI OCR to extract the contract text and structure 3. Agent asks a chat model to summarize the terms and flag unusual clauses 4. Agent enforces a structured summary format 5. Agent files the summary against the contract record 6. Legal gets the summary with the flagged clauses 7. Any non-standard clause routes to legal before the contract advances ## What This Integration Enables Mistral gives an agent a broad, coherent toolkit from a single provider. Chat and vision handle reasoning and images, Document AI does OCR on scanned files, embeddings power retrieval, code models handle fill-in-the-middle, moderation screens content, and batch processing runs large jobs cheaply. Agents, conversations, and libraries support stateful, multi-turn work. Breadth from one vendor means fewer integrations to maintain and a consistent interface across steps. What makes it operational is the layer that sequences these capabilities and inserts a person at the review point. An orchestration layer chains OCR into summarization into filing, and pulls legal in on the clause that needs a human. FlowRunner is built for that layer. ### Without FlowRunner **Multiple AI vendors**: Different providers stitched together for OCR, chat, and code **Contracts read in full**: Someone reads every page to find the clauses that matter **Scanned docs unusable**: Image-based PDFs cannot be processed downstream ### With FlowRunner **One platform surface**: OCR, chat, embeddings, and code from one connector **Reading narrowed to flags**: The model surfaces the clauses that need attention **Scans made structured**: Document AI reads image PDFs into usable text ## Use Case Scenarios ### Contract Review Pipeline A contract PDF arrives, often as a scan. The agent runs Document AI OCR to read it into structured text, asks a chat model to summarize the terms and flag anything non-standard, and files the structured summary against the record. Legal reviews a summary with the flagged clauses highlighted instead of reading every page, and any unusual clause routes to a lawyer before the contract advances. ### Code-Assisted Operations An internal tool needs small code changes and script generation on a schedule. The agent uses Mistral's code models to draft the changes with fill-in-the-middle, and a person reviews the diff before it merges. Routine code work speeds up while a human still owns what ships. ### Moderated Content Intake User-generated content needs screening and classification at volume. The agent runs Mistral moderation on each submission and classifies the clean ones automatically. Anything the moderation model flags is routed to a human moderator with the model's read attached, so the borderline calls are made by a person. ## Human-in-Loop Highlight A model that summarizes a contract or drafts code produces work a person still needs to own. When Mistral flags a non-standard clause, drafts a change that will ship, or moderation marks content as borderline, FlowRunner routes it through a [human-in-the-loop](https://flowrunner.ai/concepts/human-in-the-loop) step: the agent pauses, presents the output and its context, and sends it to the right person via Slack. They review and decide. The full Mistral surface does the work; a person owns the consequential calls. Agent processes routinely Detects exception requiring judgment Clear match Continues automatically Ambiguous Routes to human via Slack Human decides Agent resumes with decision ## Agent Capabilities 37 actions ### Chat 3 - **Ask AI** Sends a single prompt to a Mistral chat model and returns the generated answer text. Supports an optional system prompt, sampling controls (temperature, top-p), token limits, deterministic seeding, guardrail injection, JSON output mode, and stop sequences. - **Create Chat Completion** Runs a full multi-message chat completion against any Mistral chat model and returns the raw API response, including choices and token usage. - **Analyze Image** Analyzes one or more images with a multimodal Mistral model (e.g. mistral-medium-latest, mistral-small-latest, pixtral) and answers a prompt about them. ### Document AI 1 - **OCR Document** Extracts text and structure from a PDF or image using Mistral Document AI (OCR). Returns per-page markdown, optional embedded images as base64, and optional paragraph-level content blocks with bounding boxes. ### Embeddings 1 - **Create Embeddings** Generates vector embeddings for one or more input texts using a Mistral embedding model ('mistral-embed' for natural language, 'codestral-embed' for code). ### Code 1 - **FIM Completion** Performs a fill-in-the-middle code completion with a Codestral model: given a code prompt (prefix) and an optional suffix, generates the code that belongs between them. ### Moderation 2 - **Moderate Text** Classifies one or more raw texts for harmful content with Mistral's moderation model. Each result contains boolean flags and confidence scores across nine safety categories: sexual, hate\_and\_discrimination, violence\_and\_threats, dangerous\_and\_criminal\_content, selfharm, health, financial, law, and pii. - **Moderate Conversation** Classifies a chat conversation for harmful content with Mistral's conversational moderation endpoint, which assesses the last message in the context of the full conversation. ### Audio 2 - **Transcribe Audio** Transcribes an audio file into text using Mistral's Voxtral speech-to-text models. Accepts a public audio URL (including FlowRunner file URLs) or a previously uploaded Mistral file ID. - **Text to Speech** Converts text into natural-sounding speech using Mistral's Voxtral TTS model, with support for preset and custom (cloned) voices. ### Files 6 - **Upload File** Uploads a file from FlowRunner file storage (or any accessible URL) to Mistral for later use in OCR, batch processing, fine-tuning, or audio transcription. - **List Files** Lists files uploaded to your Mistral AI account with pagination, optional name search, and purpose filtering. - **Get File** Retrieves metadata about a single file uploaded to Mistral, including its name, size, purpose, source, and creation timestamp. - **Delete File** Permanently deletes a file from your Mistral AI account. Returns a confirmation object indicating whether the deletion succeeded. - **Get File Signed URL** Generates a temporary signed download URL for a file stored on Mistral (e.g. batch job results). - **Download File** Downloads a file's content from Mistral (e.g. batch job output) and saves it to FlowRunner file storage. ### Batch 4 - **Create Batch Job** Creates an asynchronous batch job that processes a . jsonl file of API requests (uploaded with the 'batch' purpose) at a 50% discount compared to synchronous calls. - **List Batch Jobs** Lists batch jobs in your Mistral AI organization with pagination and optional status filtering. - **Get Batch Job** Retrieves the current state of a batch job, including its status, request counters (total, completed, succeeded, failed), timestamps, and the output/error file IDs once finished. - **Cancel Batch Job** Requests cancellation of a queued or running batch job. Requests already completed before cancellation remain available in the job's output file. ### Agents 5 - **Create Agent** Creates a reusable Mistral agent that bundles a model, system instructions, built-in tools (web search, code interpreter, image generation, document libraries), and completion settings into a single versioned configuration addressable by agent ID in conversations. - **Update Agent** Updates an existing Mistral agent's name, model, instructions, or description. Each update creates a new agent version; only the provided fields are changed. - **List Agents** Lists agents created in your Mistral AI workspace with pagination. Returns each agent's ID, name, model, tools, and version information. - **Get Agent** Retrieves the full configuration of a single Mistral agent, including its model, instructions, tools, completion settings, and version history metadata. - **Delete Agent** Permanently deletes an agent from your Mistral AI workspace. Existing conversations that referenced the agent are not deleted. ### Conversations 6 - **Start Conversation** Starts a new server-side conversation with either a base model or an existing agent. The conversation history is stored by Mistral (unless storing is disabled) so follow-up messages can be appended later by conversation ID. - **Append to Conversation** Appends a new user message to an existing stored conversation and runs the completion (including any agent tool executions). - **Get Conversation** Retrieves metadata about a stored conversation, including its name, description, associated model or agent, and timestamps. - **List Conversations** Lists stored conversations in your Mistral AI workspace with pagination, newest first. Returns each conversation's ID, name, model or agent, and timestamps. - **Get Conversation History** Retrieves all entries of a stored conversation in order, including user messages, assistant messages, tool executions, and agent handoffs. - **Get Conversation Messages** Retrieves only the user and assistant messages of a stored conversation in order, omitting tool executions and other non-message entries. ### Libraries 4 - **Create Library** Creates a document library that agents can search through the built-in document library tool (retrieval-augmented generation). - **List Libraries** Lists all document libraries you created or that were shared with you, including document counts, total sizes, and ownership information. - **Upload Library Document** Uploads a document from FlowRunner file storage into a Mistral document library, where it is automatically processed and indexed for agent retrieval. - **List Library Documents** Lists documents stored in a Mistral document library with pagination and optional name search. ### Models 2 - **List Models** Lists all Mistral AI models available to your account, including chat, code, embedding, OCR, moderation, and audio models, with their capabilities and context window sizes. - **Get Model** Retrieves detailed information about a single Mistral AI model, including its capabilities (chat, vision, function calling, fine-tuning), context window size, and aliases. ## Frequently Asked Questions ### What can FlowRunner do with Mistral AI? FlowRunner agents can run Ask AI, Create Chat Completion, and Analyze Image in Mistral AI, plus 34 more actions. ### Does connecting Mistral AI to FlowRunner require OAuth? No. Mistral AI connects to FlowRunner with an API key, no OAuth flow required. ### Can Mistral AI trigger a FlowRunner workflow automatically? Mistral AI doesn't currently expose triggers in FlowRunner. It connects as an action step inside workflows started by another trigger. **Work at Mistral AI?** This integration exposes Mistral AI to AI agents on every FlowRunner plan, including through MCP, at no cost to you. [See what FlowRunner offers integration partners](https://flowrunner.ai/integrations/partners), including how to keep this page current. --- Markdown version of https://flowrunner.ai/integrations/mistral-ai. Site index: https://flowrunner.ai/llms.txt