{ "markdown": "

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MiniMax API Skill for RunAPI

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\n Configure OpenAI-compatible clients to use MiniMax text models on RunAPI.\n

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\n Model Reference | Skill Repo | All Models\n

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\n\n[![skills.sh](https://www.skills.sh/b/runapi-ai/minimax)](https://www.skills.sh/runapi-ai/minimax/minimax)\n[![ClawHub](https://img.shields.io/badge/ClawHub-runapi--minimax-111827)](https://clawhub.ai/runapi-ai/runapi-minimax)\n[![License](https://img.shields.io/github/license/runapi-ai/minimax)](https://github.com/runapi-ai/minimax/blob/main/LICENSE)\n\n
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\n\nCall MiniMax text models through RunAPI with the official OpenAI SDK or any\nOpenAI-compatible client. Point clients at `https://runapi.ai/v1`, send\n`MiniMax-M3`, `MiniMax-M2.7`, `MiniMax-M2.7-highspeed`, `MiniMax-M2.5`,\n`MiniMax-M2.5-highspeed`, `MiniMax-M2.1`, or `MiniMax-M2`, and pay through one\nRunAPI balance. This skill teaches Claude Code, Codex, Gemini CLI, Cursor, and\n50+ agents how to wire MiniMax text requests through RunAPI.\n\nThe canonical agent file is `skills/minimax/SKILL.md`.\n\n## Install the skill\n\n```bash\nnpx skills add runapi-ai/minimax -g\n```\n\nOr paste this prompt to your AI agent:\n\n```text\nInstall the minimax skill for me:\n\n1. Clone https://github.com/runapi-ai/minimax\n2. Copy the skills/minimax/ directory into your\n user-level skills directory (e.g. ~/.claude/skills/\n for Claude Code, ~/.codex/skills/ for Codex).\n3. Verify that SKILL.md is present.\n4. Confirm the install path when done.\n```\n\n## Use MiniMax on RunAPI\n\n```python\nfrom openai import OpenAI\n\nclient = OpenAI(\n api_key=\"YOUR_RUNAPI_TOKEN\",\n base_url=\"https://runapi.ai/v1\",\n)\n\nresponse = client.chat.completions.create(\n model=\"MiniMax-M3\",\n messages=[{\"role\": \"user\", \"content\": \"Hello, MiniMax!\"}],\n)\nprint(response.choices[0].message.content)\n```\n\n```javascript\nimport OpenAI from \"openai\";\n\nconst client = new OpenAI({\n apiKey: \"YOUR_RUNAPI_TOKEN\",\n baseURL: \"https://runapi.ai/v1\",\n});\n\nconst response = await client.chat.completions.create({\n model: \"MiniMax-M2.7-highspeed\",\n messages: [{ role: \"user\", content: \"Hello, MiniMax!\" }],\n});\nconsole.log(response.choices[0].message.content);\n```\n\nGet a RunAPI API Key at .\n\n## Supported MiniMax text models\n\n| Model ID | Notes |\n|---|---|\n| `MiniMax-M3` | Latest MiniMax text chat |\n| `MiniMax-M2.7` | MiniMax M2.7 compatibility |\n| `MiniMax-M2.7-highspeed` | Faster MiniMax M2.7 requests |\n| `MiniMax-M2.5` | MiniMax M2.5 compatibility |\n| `MiniMax-M2.5-highspeed` | Faster MiniMax M2.5 requests |\n| `MiniMax-M2.1` | MiniMax M2.1 compatibility |\n| `MiniMax-M2` | MiniMax M2 compatibility |\n\n## Routing\n\n- MiniMax API on RunAPI: \n- Provider page: \n- Browse the full RunAPI catalog: \n- Skill repository: \n\n## Agent rules\n\n- Keep API keys in `OPENAI_API_KEY` or your secret manager; never inline them in\n commits or shell history.\n- Stream long responses (`stream: true`) so the agent can release the\n terminal/IO loop early.\n- This skill is for MiniMax text models. Use the Hailuo skill for video.\n- For pricing, rate-limit, and commercial-usage answers, link to\n rather than this README.\n\n## License\n\nLicensed under the Apache License, Version 2.0.\n", "bytes": 3703, "sha": "dfd4a9e64cec9918ec510861dec127c5defb9bbc957500f99c088ee71a135c07", "repo_slug": "runapi-ai/minimax", "fonte": "repo", "truncated": false, "api": "https://agentalog.com/api/listings/plg_runapi_ai_minimax_6002b5e0/readme" }