Mistral AI
AI & modelsAPI keycredential probe
Mistral chat and reasoning models, mistral-embed embeddings and Mistral OCR over api.mistral.ai.
OCNORA ships 10 typed Mistral AI operations. Each node has a schema-driven form, input and output tables beside its settings, and is pre-flighted by Workflow Health before your first real run. Anything not covered by a typed node reaches https://api.mistral.ai/v1 through the HTTP node with the same credential.
Operations 10
- Chat CompletionSend a prompt or a full message list to a Mistral chat model and return the assistant's answer together with the token usage.mistral.chat_completion
- Delete FilePermanently delete one uploaded file from the Mistral workspace.mistral.delete_file
- Create EmbeddingsTurn one string or a list of strings into embedding vectors with a Mistral embedding model such as mistral-embed.mistral.embeddings
- Get File Download URLMint a temporary signed download URL for an uploaded file — the usual way to hand a stored PDF to the OCR node.mistral.file_url
- Get FileFetch one uploaded file's record — its name, size, purpose and MIME type.mistral.get_file
- Get ModelFetch one model card, including its capabilities and context length.mistral.get_model
- List FilesList one page of the files uploaded to the Mistral workspace.mistral.list_files
- List ModelsList every Mistral model the connection's API key is allowed to call.mistral.list_models
- OCR DocumentRun Mistral OCR over a PDF or image and return the text of every page as Markdown, keeping the document's layout and tables.mistral.ocr
- Upload FileUpload a file to the Mistral workspace for fine-tuning, batch inference or OCR, and return the file id to reference later.mistral.upload_file
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Create a free workspace, add the connection, pick a template or describe the workflow to Build with AI. Workflow Health checks it before it runs.