Everything you need to integrate MiniMax AI into your applications — SDKs, API reference, tutorials, and community support.
The MiniMax developer documentation is organized into four layers: getting-started guides, API reference, SDK docs, and tutorial walkthroughs.
Start with the getting-started guide if you are new to the platform. It walks through account creation, API key generation, and your first API call in under ten minutes. The guide includes curl examples that work directly in your terminal and code snippets you can paste into a project and run immediately.
The API reference is the authoritative source for endpoint specifications. Every path, parameter, and response field is documented. Rate limits are listed per endpoint. Authentication requirements are noted. Code examples appear in Python, JavaScript, and Go. The reference updates automatically when new features ship. Versioned snapshots are archived so you can reference the documentation that matches the API version you are targeting.
SDK documentation is generated from source code and hosted alongside the API reference. Each SDK page describes installation, configuration, and complete method signatures. The tutorial library bridges the gap between reference material and production code. Each tutorial solves a specific integration problem: streaming chat responses, batching video generation jobs, implementing retry logic with exponential backoff, or setting up webhook notifications for long-running tasks.
This page serves as the landing zone for all MiniMax developer documentation. Use the SDK comparison table below to choose the right library. Check the FAQ for common integration questions. The related-services links point to deeper API reference pages and GitHub repositories.
MiniMax ships official SDKs for Python, JavaScript (Node.js), and Go — each open source, tested, and maintained by the platform engineering team.
The Python SDK is the most mature. It was the first client library released and has the largest install base. Async/await support lets you run concurrent API calls without blocking the event loop. The SDK handles authentication, request serialization, error handling, and streaming response parsing. Type hints throughout the codebase help your IDE provide autocomplete and inline documentation.
The JavaScript SDK targets Node.js 18 and above. It supports both CommonJS require and ES module import syntax. The streaming client uses async iterators so you can process tokens as they arrive. Environment variable configuration works out of the box with dotenv. The SDK is written in TypeScript with comprehensive type definitions, so even if you write plain JavaScript, your editor benefits from accurate IntelliSense.
The Go SDK follows standard library conventions. Context-based cancellation propagates through every method. Custom HTTP clients let you configure timeouts, connection pooling, and TLS settings. The SDK is structured as a single Go module with sub-packages for each service area: chat, video, and models. Generated mocks simplify unit testing in your own codebase.
The REST API reference documents every MiniMax endpoint with HTTP methods, parameters, response schemas, rate limits, and code examples.
The chat completion endpoint supports synchronous and streaming modes. Parameters include model selection, temperature, max tokens, and system prompts. The video generation endpoint accepts text descriptions and returns job identifiers for polling completion status. A webhook option lets you register a callback URL instead of polling. The models endpoint returns metadata about available MiniMax model versions including context window sizes, pricing rates, and deprecation schedules.
Common patterns are documented in dedicated reference sections. Authentication covers Bearer token format and rotation. Error handling explains HTTP status codes, error response bodies, and recommended retry strategies. Pagination describes cursor-based navigation for list endpoints. The reference pages include interactive curl examples that populate with your API key when you are logged into the platform hub.
Step-by-step tutorials walk you through real integration patterns with working code and explanations of each design choice.
Tutorials are organized by difficulty. Beginner guides assume you have never used the MiniMax API before. Intermediate guides expect familiarity with the SDK and cover patterns like prompt templating, response validation, and cost optimization. Advanced guides dive into fine-tuning, custom model deployment, and multi-model orchestration. Each tutorial includes a GitHub repository with the complete source code and a README that lists prerequisites and setup steps.
Popular tutorials include building an AI chatbot, generating marketing videos from product descriptions, implementing semantic search, and deploying a fine-tuned model behind a custom endpoint. The tutorial catalog grows based on community requests. If you encounter a pattern that is not covered, post in the community forum. The developer relations team prioritizes tutorial ideas that get community support.
Every API change, SDK release, and platform update is documented in the public changelog with migration guides for breaking changes.
The changelog follows a structured format. Each entry includes the date, affected services, change type (addition, deprecation, removal, fix), and a detailed description. Breaking changes get dedicated migration sections with before-and-after code examples. Deprecation notices appear in the changelog at least 90 days before the feature stops working. The changelog is available as an RSS feed for automated monitoring.
API versioning uses a date-based scheme. Each endpoint path includes a version prefix that corresponds to the release date of the endpoint specification. Older versions are supported for a minimum of 12 months after a new version ships. SDK releases track API versions in their changelogs. Running the latest SDK version ensures compatibility with the current API surface.
The MiniMax developer community forum is the primary hub for technical discussions, project showcases, and peer support.
The forum is organized into topic categories: API Usage, SDK Support, Video Generation, Model Fine-Tuning, and General Discussion. MiniMax engineers monitor the SDK and API categories during business hours. The community contributes answers, code snippets, and integration patterns. Beta programs are announced in the forum before anywhere else. Early access to new features goes to developers who participate actively and provide feedback.
GitHub repositories accept issues and pull requests. Each repository has contribution guidelines and a code of conduct. Bug reports should include a minimal reproduction case. Feature requests are reviewed during sprint planning and tagged with priority labels. The developer relations team publishes a monthly roundup of community contributions, resolved issues, and upcoming changes. For guidance on AI system documentation practices, the NIST AI RMF provides a useful reference framework.
The table below compares the three official MiniMax SDKs across language, current version, key features, and community engagement metrics.
| Language | Version | Features | GitHub Stars |
|---|---|---|---|
| Python | 2.4.1 | Async/await, streaming, type hints, retry with backoff, pydantic models | 4,200+ |
| JavaScript (Node.js) | 1.9.3 | TypeScript, async iterators, ESM + CJS, webhook verification, Axios transport | 2,800+ |
| Go | 1.5.0 | Context propagation, custom HTTP client, generated mocks, sub-package design | 1,600+ |
| Community (Rust) | 0.8.2 | Unofficial crate maintained by contributors, async runtime support, serde models | 400+ |
| Community (Java) | 0.6.0 | Unofficial library, OkHttp transport, Jackson serialization, Spring Boot starter | 320+ |
"The Python SDK is a model of good API design. The async support, the retry logic, the error handling — it all feels intentional. I wrapped the chat completion endpoint in a FastAPI service and had it running in production within a day. The Go SDK was equally straightforward when we added inference to our data pipeline. The docs actually match what the code does. That matters more than most teams realize."
— Dimitri A. Hassan, Machine Learning Engineer, Therma Analytics, Denver
MiniMax provides official SDKs for Python, JavaScript (Node.js), and Go. Each SDK wraps the REST API with idiomatic patterns for the target language. The Python SDK uses async/await, the JavaScript SDK supports both CommonJS and ES modules with full TypeScript definitions, and the Go SDK follows standard library conventions. Community-maintained libraries exist for Rust and Java, though they are not officially supported by the MiniMax engineering team.
The MiniMax API reference documentation is available on the developer-resources page. It covers every endpoint including text generation, chat completion, video synthesis, and model management. Each endpoint entry includes the HTTP method, path, request parameters, response schema, rate limits, and code examples in Python, JavaScript, and Go. The reference is versioned by release date and updates automatically when new endpoints ship.
Yes, MiniMax maintains a tutorial library organized by difficulty level. Beginner guides cover first API calls and basic setup. Intermediate guides cover prompt templating, response validation, and cost optimization. Advanced guides cover fine-tuning and multi-model orchestration. Each tutorial has a companion GitHub repository with complete source code and setup instructions. The tutorial catalog grows based on community requests and developer feedback.
MiniMax publishes a detailed changelog covering every API update, SDK release, and platform change. Breaking changes include migration guides with before-and-after code examples. Deprecation notices appear at least 90 days before features stop working. The changelog is available as an RSS feed. The community forum also posts announcements in a dedicated category, and beta program invitations appear there before any other channel.
MiniMax hosts a community forum organized by topic: API Usage, SDK Support, Video Generation, Model Fine-Tuning, and General Discussion. Engineers from the MiniMax platform team participate actively in the SDK and API categories. The forum is the primary channel for beta program announcements and early feature previews. GitHub repositories also accept issues and pull requests with clear contribution guidelines and a published code of conduct for all participants.