MistralAI integration for LangChain.js
TypeScript client library for the Mistral AI API
This repository is the typescript version of [mistralai/client-js](https://github.com/mistralai/client-js)
TypeScript client library for Mistral AI on Google Cloud
Mistral AI plugin for LiveKit Node Agents (deprecated, use @livekit/agents-plugin-mistralai)
MistralAI integration for LangChain.js
TypeScript client library for Mistral AI on Azure
Ecologits.js Calculator for the MistralAI API
Mistral AI SDK adapter for llmmeter (@mistralai/mistralai).
MistralAI adapter for Wabe (official)
LiveKit Agents Plugin for MistralAI services - LLM and STT support
Client library written in TypeScript for MistralAI
Mistral AI plugin for LiveKit Node Agents
Universal API chat Node.js client for OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek and Alibaba.
Code that extras variables from the ticket using AI ... uses mistral
This javascript client is inspired from [cohere-typescript](https://github.com/cohere-ai/cohere-typescript)
Mistral AI provider integration for Metorial - enables using Metorial tools with Mistral's language models through function calling.
A powerful CLI tool for automating content localization using OpenAI GPT-4 or MistralAI, helping to localize apps. Supports multiple file types, preserves formatting, and enables context-aware translations.
This javascript client is inspired from [cohere-typescript](https://github.com/cohere-ai/cohere-typescript) Forked from https://github.com/mistralai/client-js because the original monkey-patched `fetch()`.
A minimalistic JavaScript implementation of the Jinja templating engine, specifically designed for parsing and rendering ML chat templates.
MemberJunction Wrapper for Mistral AI's AI Models
Mistral tokenizer families for tokkit.
Use OpenAI, Claude, Meta and Mistral Text Generation APIs to generate text.
Mistral AI provider integration for Quilltap
Mistal AI's rust API
Mistral AI API client library for Rust (unofficial).
Build LLM applications in Rust with type safety: chains, agents, RAG, LangGraph, embeddings, vector stores, and 20+ document loaders. A LangChain port supporting OpenAI, Claude, Gemini, Mistral, Bedrock, Ollama, and more. Includes streaming, structured output, and multi-agent (Deep Agent) workflows.
Mistral.rs runner for atomr-infer. Wraps mistralrs::TextModelBuilder + Model behind the ModelRunner trait with token-streaming.
Developerpod is the machine. Kcups are the pods — tiny *.kcup.toml files declaring what to gather, what to ask a model, and what shape the answer should take. The machine handles the rest: context, API calls, structured output. Tiny AI-backed dev tools, one TOML file each.
LangChain for Rust, the easiest way to write LLM-based programs in Rust
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