Mistral AI
AI platform for chat completions, embeddings, models, files, agents, and generated responses.
Handles Mistral AI work across text generation, embeddings, batch jobs, model lists, files, and batch completion events.
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Related integrations
Example Use Cases
These are example ways Snow can use Mistral AI when building apps with you. This list is meant to show examples, not document every possible capability. Connecting an account does not make Snow run these automatically on its own.
Tool to append new entries to an existing conversation in Mistral AI. Use when you need to continue a conversation by adding new messages or inputs. This is a beta endpoint.
Tool to create a new AI agent with custom configuration (Beta). Use when you need to create an agent with specific model, name, instructions, and tools.
Tool to generate completions using a Mistral AI agent with specific instructions and tools. Use when you need an agent to process messages and generate responses. Agents can use tools, follow instructions, and maintain conversation context.
Transcribe audio files to text using Mistral AI's Voxtral models. Use this action to convert speech in audio files to written text. Supports multiple input methods: file upload, file_id from previously uploaded files, or file_url for publicly accessible audio. The transcription supports 13 languages with automatic language detection, speaker diarization, and configurable timestamp granularities (segment or word level). Key features: - Multi-language support (English, Chinese, Hindi, Spanish, Arabic, French, Portuguese, Russian, German, Japanese, Korean, Italian, Dutch) - Speaker diarization to identify different speakers - Word and segment-level timestamps - Context biasing for domain-specific terminology - Supports common audio formats (mp3, wav, m4a, etc.) Note: Exactly one of file, file_id, or file_url must be provided. The action does not support streaming mode.
Generate conversational responses from Mistral AI models. Supports streaming, function calling, and various model parameters. Use when you need to create chat completions with Mistral AI models for conversation, question answering, or function calling scenarios.
Tool to classify chat content for moderation purposes across 9 categories. Use when you need to detect harmful content, inappropriate messages, or policy violations in chat conversations.
Tool to generate vector embeddings for input text using Mistral AI embedding models. Use when you need to convert text into numerical vectors for semantic search, similarity comparison, or RAG applications.
Generate code completions using fill-in-the-middle functionality. Use when you need to complete code between a prefix and suffix, or continue code from a prompt. Ideal for code completion, function implementation, and context-aware code generation.
Tool to create a new document library. Use when you need to group documents into a new library. Use after confirming authentication.
Create or update sharing permissions for a library. Use to grant access to users, workspaces, or organizations. Specify the access level (Viewer or Editor) and the entity to share with. This is a beta endpoint.