Support MiniMax
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hkalex
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30
README.md
30
README.md
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@ -17,7 +17,7 @@ CrewAI is Python. LangGraph makes you draw the graph by hand. `open-multi-agent`
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- **Goal to result in one call.** `runTeam(team, "Build a REST API")` kicks off a coordinator agent that decomposes the goal into a task DAG, resolves dependencies, runs independent tasks in parallel, and synthesizes the final output. No graph to draw, no tasks to wire up.
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- **TypeScript-native, three runtime dependencies.** `@anthropic-ai/sdk`, `openai`, `zod`. That is the whole runtime. Embed in Express, Next.js, serverless functions, or CI/CD pipelines. No Python runtime, no subprocess bridge, no cloud sidecar.
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- **Multi-model teams.** Claude, GPT, Gemini, Grok, Copilot, or any OpenAI-compatible local model (Ollama, vLLM, LM Studio, llama.cpp) in the same team. Run the architect on Opus 4.6, the developer on GPT-5.4, the reviewer on local Gemma 4, all in one `runTeam()` call. Gemini ships as an optional peer dependency: `npm install @google/genai` to enable.
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- **Multi-model teams.** Claude, GPT, Gemini, Grok, MiniMax, Copilot, or any OpenAI-compatible local model (Ollama, vLLM, LM Studio, llama.cpp) in the same team. Run the architect on Opus 4.6, the developer on GPT-5.4, the reviewer on local Gemma 4, all in one `runTeam()` call. Gemini ships as an optional peer dependency: `npm install @google/genai` to enable.
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Other features (MCP integration, context strategies, structured output, task retry, human-in-the-loop, lifecycle hooks, loop detection, observability) live below the fold and in [`examples/`](./examples/).
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@ -72,6 +72,8 @@ Set the API key for your provider. Local models via Ollama require no API key
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- `OPENAI_API_KEY`
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- `GEMINI_API_KEY`
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- `XAI_API_KEY` (for Grok)
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- `MINIMAX_API_KEY` (for MiniMax)
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- `MINIMAX_BASE_URL` (for MiniMax — optional, selects endpoint)
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- `GITHUB_TOKEN` (for Copilot)
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**CLI (`oma`).** For shell and CI, the package exposes a JSON-first binary. See [docs/cli.md](./docs/cli.md) for `oma run`, `oma task`, `oma provider`, exit codes, and file formats.
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@ -139,12 +141,13 @@ For MapReduce-style fan-out without task dependencies, use `AgentPool.runParalle
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## Examples
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16 runnable scripts and 1 full-stack demo in [`examples/`](./examples/). Start with these:
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17 runnable scripts and 1 full-stack demo in [`examples/`](./examples/). Start with these:
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- [02 — Team Collaboration](examples/02-team-collaboration.ts): `runTeam()` coordinator pattern.
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- [06 — Local Model](examples/06-local-model.ts): Ollama and Claude in one pipeline via `baseURL`.
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- [09 — Structured Output](examples/09-structured-output.ts): any agent returns Zod-validated JSON.
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- [11 — Trace Observability](examples/11-trace-observability.ts): `onTrace` spans for LLM calls, tools, and tasks.
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- [17 — MiniMax](examples/17-minimax.ts): three-agent team using MiniMax M2.7.
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- [with-vercel-ai-sdk](examples/with-vercel-ai-sdk/): Next.js app — OMA `runTeam()` + AI SDK `useChat` streaming.
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Run scripts with `npx tsx examples/02-team-collaboration.ts`.
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@ -183,6 +186,7 @@ Run scripts with `npx tsx examples/02-team-collaboration.ts`.
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│ │ - CopilotAdapter │
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│ │ - GeminiAdapter │
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│ │ - GrokAdapter │
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│ │ - MiniMaxAdapter │
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│ └──────────────────────┘
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┌────────▼──────────┐
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│ AgentRunner │ ┌──────────────────────┐
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@ -282,6 +286,8 @@ Notes:
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| Anthropic (Claude) | `provider: 'anthropic'` | `ANTHROPIC_API_KEY` | Verified |
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| OpenAI (GPT) | `provider: 'openai'` | `OPENAI_API_KEY` | Verified |
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| Grok (xAI) | `provider: 'grok'` | `XAI_API_KEY` | Verified |
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| MiniMax (global) | `provider: 'minimax'` | `MINIMAX_API_KEY` | Verified |
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| MiniMax (China) | `provider: 'minimax'` + `MINIMAX_BASE_URL` | `MINIMAX_API_KEY` | Verified |
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| GitHub Copilot | `provider: 'copilot'` | `GITHUB_TOKEN` | Verified |
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| Gemini | `provider: 'gemini'` | `GEMINI_API_KEY` | Verified |
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| Ollama / vLLM / LM Studio | `provider: 'openai'` + `baseURL` | — | Verified |
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@ -291,7 +297,7 @@ Gemini requires `npm install @google/genai` (optional peer dependency).
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Verified local models with tool-calling: **Gemma 4** (see [example 08](examples/08-gemma4-local.ts)).
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Any OpenAI-compatible API should work via `provider: 'openai'` + `baseURL` (DeepSeek, Groq, Mistral, Qwen, MiniMax, etc.). **Grok now has first-class support** via `provider: 'grok'`.
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Any OpenAI-compatible API should work via `provider: 'openai'` + `baseURL` (DeepSeek, Groq, Mistral, Qwen, etc.). **Grok and MiniMax now have first-class support** via `provider: 'grok'` and `provider: 'minimax'`.
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### Local Model Tool-Calling
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@ -331,7 +337,23 @@ const grokAgent: AgentConfig = {
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}
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```
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(Set your `XAI_API_KEY` environment variable — no `baseURL` needed anymore.)
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(Set your `XAI_API_KEY` environment variable — no `baseURL` needed.)
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```typescript
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const minimaxAgent: AgentConfig = {
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name: 'minimax-agent',
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provider: 'minimax',
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model: 'MiniMax-M2.7',
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systemPrompt: 'You are a helpful assistant.',
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}
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```
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Set `MINIMAX_API_KEY`. The adapter selects the endpoint via `MINIMAX_BASE_URL`:
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- `https://api.minimax.io/v1` Global, default
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- `https://api.minimaxi.com/v1` China mainland endpoint
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You can also pass `baseURL` directly in `AgentConfig` to override the env var.
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## Contributing
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28
README_zh.md
28
README_zh.md
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@ -17,7 +17,7 @@ CrewAI 是 Python。LangGraph 需要你自己画图。`open-multi-agent` 是你
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- **一次调用从目标到结果。** `runTeam(team, "构建一个 REST API")` 启动一个协调者 agent，把目标拆成任务 DAG，解析依赖，独立任务并行执行，最终合成输出。不需要画图，不需要手动连任务。
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- **TypeScript 原生，3 个运行时依赖。** `@anthropic-ai/sdk`、`openai`、`zod`。这就是全部运行时。可嵌入 Express、Next.js、Serverless 函数或 CI/CD 流水线。没有 Python 运行时，没有子进程桥接，没有云端 sidecar。
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- **多模型团队。** Claude、GPT、Gemini、Grok、Copilot，或任何 OpenAI 兼容的本地模型（Ollama、vLLM、LM Studio、llama.cpp）可以在同一个团队中使用。让架构师用 Opus 4.6，开发者用 GPT-5.4，评审用本地的 Gemma 4，一次 `runTeam()` 调用全部搞定。Gemini 作为 optional peer dependency 提供：使用前需 `npm install @google/genai`。
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- **多模型团队。** Claude、GPT、Gemini、Grok、MiniMax、Copilot，或任何 OpenAI 兼容的本地模型（Ollama、vLLM、LM Studio、llama.cpp）可以在同一个团队中使用。让架构师用 Opus 4.6，开发者用 GPT-5.4，评审用本地的 Gemma 4，一次 `runTeam()` 调用全部搞定。Gemini 作为 optional peer dependency 提供：使用前需 `npm install @google/genai`。
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其他能力（MCP 集成、上下文策略、结构化输出、任务重试、人机协同、生命周期钩子、循环检测、可观测性）在下方章节和 [`examples/`](./examples/) 里。
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@ -72,6 +72,8 @@ npm install @jackchen_me/open-multi-agent
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- `OPENAI_API_KEY`
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- `GEMINI_API_KEY`
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- `XAI_API_KEY`（Grok）
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- `MINIMAX_API_KEY`（MiniMax）
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- `MINIMAX_BASE_URL`（MiniMax — 可选，用于选择接入端点）
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- `GITHUB_TOKEN`（Copilot）
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三个智能体，一个目标——框架处理剩下的一切：
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@ -137,12 +139,13 @@ Tokens: 12847 output tokens
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## 示例
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[`examples/`](./examples/) 里有 16 个可运行脚本和 1 个完整项目。推荐从这几个开始：
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[`examples/`](./examples/) 里有 17 个可运行脚本和 1 个完整项目。推荐从这几个开始：
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- [02 — 团队协作](examples/02-team-collaboration.ts)：`runTeam()` 协调者模式。
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- [06 — 本地模型](examples/06-local-model.ts)：通过 `baseURL` 把 Ollama 和 Claude 放在同一条管线。
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- [09 — 结构化输出](examples/09-structured-output.ts)：任意 agent 产出 Zod 校验过的 JSON。
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- [11 — 可观测性](examples/11-trace-observability.ts)：`onTrace` 回调，为 LLM 调用、工具、任务发出结构化 span。
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- [17 — MiniMax](examples/17-minimax.ts)：使用 MiniMax M2.7 的三智能体团队。
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- [with-vercel-ai-sdk](examples/with-vercel-ai-sdk/)：Next.js 应用 — OMA `runTeam()` + AI SDK `useChat` 流式输出。
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用 `npx tsx examples/02-team-collaboration.ts` 运行脚本示例。
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@ -181,6 +184,7 @@ Tokens: 12847 output tokens
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│ │ - CopilotAdapter │
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│ │ - GeminiAdapter │
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│ │ - GrokAdapter │
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│ │ - MiniMaxAdapter │
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│ └──────────────────────┘
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┌────────▼──────────┐
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│ AgentRunner │ ┌──────────────────────┐
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@ -256,6 +260,8 @@ const customAgent: AgentConfig = {
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| Anthropic (Claude) | `provider: 'anthropic'` | `ANTHROPIC_API_KEY` | 已验证 |
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| OpenAI (GPT) | `provider: 'openai'` | `OPENAI_API_KEY` | 已验证 |
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| Grok (xAI) | `provider: 'grok'` | `XAI_API_KEY` | 已验证 |
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| MiniMax（全球） | `provider: 'minimax'` | `MINIMAX_API_KEY` | 已验证 |
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| MiniMax（国内） | `provider: 'minimax'` + `MINIMAX_BASE_URL` | `MINIMAX_API_KEY` | 已验证 |
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| GitHub Copilot | `provider: 'copilot'` | `GITHUB_TOKEN` | 已验证 |
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| Gemini | `provider: 'gemini'` | `GEMINI_API_KEY` | 已验证 |
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| Ollama / vLLM / LM Studio | `provider: 'openai'` + `baseURL` | — | 已验证 |
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@ -265,7 +271,7 @@ Gemini 需要 `npm install @google/genai`（optional peer dependency）。
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已验证支持 tool-calling 的本地模型：**Gemma 4**（见[示例 08](examples/08-gemma4-local.ts)）。
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任何 OpenAI 兼容 API 均可通过 `provider: 'openai'` + `baseURL` 接入（DeepSeek、Groq、Mistral、Qwen、MiniMax 等）。**Grok 现已原生支持**，使用 `provider: 'grok'`。
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任何 OpenAI 兼容 API 均可通过 `provider: 'openai'` + `baseURL` 接入（DeepSeek、Groq、Mistral、Qwen 等）。**Grok 和 MiniMax 现已原生支持**，分别使用 `provider: 'grok'` 和 `provider: 'minimax'`。
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### 本地模型 Tool-Calling
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@ -307,6 +313,22 @@ const grokAgent: AgentConfig = {
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（设置 `XAI_API_KEY` 环境变量即可，无需 `baseURL`。）
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```typescript
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const minimaxAgent: AgentConfig = {
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name: 'minimax-agent',
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provider: 'minimax',
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model: 'MiniMax-M2.7',
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systemPrompt: 'You are a helpful assistant.',
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}
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```
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设置 `MINIMAX_API_KEY`。适配器通过 `MINIMAX_BASE_URL` 选择接入端点：
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- `https://api.minimax.io/v1` 全球端点，默认
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- `https://api.minimaxi.com/v1` 中国大陆端点
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也可在 `AgentConfig` 中直接传入 `baseURL` 覆盖环境变量。
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## 参与贡献
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欢迎提 Issue、功能需求和 PR。以下方向的贡献尤其有价值：
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@ -20,7 +20,7 @@ npm run build
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node dist/cli/oma.js help
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```
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Set the usual provider API keys in the environment (see [README](../README.md#quick-start)); the CLI does not read secrets from flags.
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Set the usual provider API keys in the environment (see [README](../README.md#quick-start)); the CLI does not read secrets from flags. MiniMax additionally reads `MINIMAX_BASE_URL` to select the global (`https://api.minimax.io/v1`) or China (`https://api.minimaxi.com/v1`) endpoint.
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---
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@ -55,7 +55,7 @@ Global flags: [`--pretty`](#output-flags), [`--include-messages`](#output-flags)
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Read-only helper for wiring JSON configs and env vars.
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- **`oma provider`** or **`oma provider list`** — Prints JSON: built-in provider ids, API key environment variable names, whether `baseURL` is supported, and short notes (e.g. OpenAI-compatible servers, Copilot in CI).
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- **`oma provider template <provider>`** — Prints a JSON object with example `orchestrator` and `agent` fields plus placeholder `env` entries. `<provider>` is one of: `anthropic`, `openai`, `gemini`, `grok`, `copilot`.
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- **`oma provider template <provider>`** — Prints a JSON object with example `orchestrator` and `agent` fields plus placeholder `env` entries. `<provider>` is one of: `anthropic`, `openai`, `gemini`, `grok`, `minimax`, `copilot`.
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Supports `--pretty`.
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@ -0,0 +1,159 @@
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/**
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* Example 17 — Multi-Agent Team Collaboration with MiniMax
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*
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* Three specialized agents (architect, developer, reviewer) collaborate via `runTeam()`
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* to build a minimal Express.js REST API. Every agent uses MiniMax's flagship model.
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*
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* Run:
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* npx tsx examples/17-minimax.ts
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*
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* Prerequisites:
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* MINIMAX_API_KEY environment variable must be set.
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* MINIMAX_BASE_URL environment variable can be set to switch to the China mainland endpoint if needed.
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*
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* Endpoints:
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* Global (default): https://api.minimax.io/v1
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* China mainland: https://api.minimaxi.com/v1 (set MINIMAX_BASE_URL)
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*/
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import { OpenMultiAgent } from '../src/index.js'
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import type { AgentConfig, OrchestratorEvent } from '../src/types.js'
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// ---------------------------------------------------------------------------
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// Agent definitions (all using MiniMax-M2.7)
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// ---------------------------------------------------------------------------
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const architect: AgentConfig = {
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name: 'architect',
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model: 'MiniMax-M2.7',
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provider: 'minimax',
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systemPrompt: `You are a software architect with deep experience in Node.js and REST API design.
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Your job is to design clear, production-quality API contracts and file/directory structures.
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Output concise plans in markdown — no unnecessary prose.`,
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tools: ['bash', 'file_write'],
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maxTurns: 5,
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temperature: 0.2,
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}
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const developer: AgentConfig = {
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name: 'developer',
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model: 'MiniMax-M2.7',
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provider: 'minimax',
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systemPrompt: `You are a TypeScript/Node.js developer. You implement what the architect specifies.
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Write clean, runnable code with proper error handling. Use the tools to write files and run tests.`,
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tools: ['bash', 'file_read', 'file_write', 'file_edit'],
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maxTurns: 12,
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temperature: 0.1,
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}
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const reviewer: AgentConfig = {
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name: 'reviewer',
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model: 'MiniMax-M2.7',
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provider: 'minimax',
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systemPrompt: `You are a senior code reviewer. Review code for correctness, security, and clarity.
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Provide a structured review with: LGTM items, suggestions, and any blocking issues.
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Read files using the tools before reviewing.`,
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tools: ['bash', 'file_read', 'grep'],
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maxTurns: 5,
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temperature: 0.3,
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}
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// ---------------------------------------------------------------------------
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// Progress tracking
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// ---------------------------------------------------------------------------
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const startTimes = new Map<string, number>()
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function handleProgress(event: OrchestratorEvent): void {
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const ts = new Date().toISOString().slice(11, 23) // HH:MM:SS.mmm
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switch (event.type) {
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case 'agent_start':
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startTimes.set(event.agent ?? '', Date.now())
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console.log(`[${ts}] AGENT START → ${event.agent}`)
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break
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case 'agent_complete': {
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const elapsed = Date.now() - (startTimes.get(event.agent ?? '') ?? Date.now())
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console.log(`[${ts}] AGENT DONE ← ${event.agent} (${elapsed}ms)`)
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break
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}
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case 'task_start':
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console.log(`[${ts}] TASK START ↓ ${event.task}`)
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break
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case 'task_complete':
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console.log(`[${ts}] TASK DONE ↑ ${event.task}`)
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break
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case 'message':
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console.log(`[${ts}] MESSAGE • ${event.agent} → (team)`)
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break
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case 'error':
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console.error(`[${ts}] ERROR ✗ agent=${event.agent} task=${event.task}`)
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if (event.data instanceof Error) console.error(` ${event.data.message}`)
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break
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}
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}
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// ---------------------------------------------------------------------------
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// Orchestrate
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// ---------------------------------------------------------------------------
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const orchestrator = new OpenMultiAgent({
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defaultModel: 'MiniMax-M2.7',
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defaultProvider: 'minimax',
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maxConcurrency: 1, // sequential for readable output
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onProgress: handleProgress,
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})
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const team = orchestrator.createTeam('api-team', {
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name: 'api-team',
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agents: [architect, developer, reviewer],
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sharedMemory: true,
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maxConcurrency: 1,
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})
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console.log(`Team "${team.name}" created with agents: ${team.getAgents().map(a => a.name).join(', ')}`)
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console.log('\nStarting team run...\n')
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console.log('='.repeat(60))
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const goal = `Create a minimal Express.js REST API in /tmp/express-api/ with:
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- GET /health → { status: "ok" }
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- GET /users → returns a hardcoded array of 2 user objects
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- POST /users → accepts { name, email } body, logs it, returns 201
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- Proper error handling middleware
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- The server should listen on port 3001
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- Include a package.json with the required dependencies`
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const result = await orchestrator.runTeam(team, goal)
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console.log('\n' + '='.repeat(60))
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// ---------------------------------------------------------------------------
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// Results
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// ---------------------------------------------------------------------------
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console.log('\nTeam run complete.')
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console.log(`Success: ${result.success}`)
|
||||
console.log(`Total tokens — input: ${result.totalTokenUsage.input_tokens}, output: ${result.totalTokenUsage.output_tokens}`)
|
||||
|
||||
console.log('\nPer-agent results:')
|
||||
for (const [agentName, agentResult] of result.agentResults) {
|
||||
const status = agentResult.success ? 'OK' : 'FAILED'
|
||||
const tools = agentResult.toolCalls.length
|
||||
console.log(` ${agentName.padEnd(12)} [${status}] tool_calls=${tools}`)
|
||||
if (!agentResult.success) {
|
||||
console.log(` Error: ${agentResult.output.slice(0, 120)}`)
|
||||
}
|
||||
}
|
||||
|
||||
// Sample outputs
|
||||
const developerResult = result.agentResults.get('developer')
|
||||
if (developerResult?.success) {
|
||||
console.log('\nDeveloper output (last 600 chars):')
|
||||
console.log('─'.repeat(60))
|
||||
const out = developerResult.output
|
||||
console.log(out.length > 600 ? '...' + out.slice(-600) : out)
|
||||
console.log('─'.repeat(60))
|
||||
}
|
||||
|
||||
const reviewerResult = result.agentResults.get('reviewer')
|
||||
if (reviewerResult?.success) {
|
||||
console.log('\nReviewer output:')
|
||||
console.log('─'.repeat(60))
|
||||
console.log(reviewerResult.output)
|
||||
console.log('─'.repeat(60))
|
||||
}
|
||||
|
|
@ -50,6 +50,7 @@ const PROVIDER_REFERENCE: ReadonlyArray<{
|
|||
{ id: 'openai', apiKeyEnv: ['OPENAI_API_KEY'], baseUrlSupported: true, notes: 'Set baseURL for Ollama / vLLM / LM Studio; apiKey may be a placeholder.' },
|
||||
{ id: 'gemini', apiKeyEnv: ['GEMINI_API_KEY', 'GOOGLE_API_KEY'], baseUrlSupported: false },
|
||||
{ id: 'grok', apiKeyEnv: ['XAI_API_KEY'], baseUrlSupported: true },
|
||||
{ id: 'minimax', apiKeyEnv: ['MINIMAX_API_KEY'], baseUrlSupported: true, notes: 'Global endpoint: https://api.minimax.io/v1 (default). China endpoint: https://api.minimaxi.com/v1. Set MINIMAX_BASE_URL to choose, or pass baseURL in agent config.' },
|
||||
{
|
||||
id: 'copilot',
|
||||
apiKeyEnv: ['GITHUB_COPILOT_TOKEN', 'GITHUB_TOKEN'],
|
||||
|
|
@ -259,6 +260,7 @@ const DEFAULT_MODEL_HINT: Record<SupportedProvider, string> = {
|
|||
gemini: 'gemini-2.0-flash',
|
||||
grok: 'grok-2-latest',
|
||||
copilot: 'gpt-4o',
|
||||
minimax: 'MiniMax-M2.7',
|
||||
}
|
||||
|
||||
async function cmdProvider(sub: string | undefined, arg: string | undefined, pretty: boolean): Promise<number> {
|
||||
|
|
|
|||
|
|
@ -38,7 +38,7 @@ import type { LLMAdapter } from '../types.js'
|
|||
* Additional providers can be integrated by implementing {@link LLMAdapter}
|
||||
* directly and bypassing this factory.
|
||||
*/
|
||||
export type SupportedProvider = 'anthropic' | 'copilot' | 'grok' | 'openai' | 'gemini'
|
||||
export type SupportedProvider = 'anthropic' | 'copilot' | 'grok' | 'minimax' | 'openai' | 'gemini'
|
||||
|
||||
/**
|
||||
* Instantiate the appropriate {@link LLMAdapter} for the given provider.
|
||||
|
|
@ -49,6 +49,7 @@ export type SupportedProvider = 'anthropic' | 'copilot' | 'grok' | 'openai' | 'g
|
|||
* - `openai` → `OPENAI_API_KEY`
|
||||
* - `gemini` → `GEMINI_API_KEY` / `GOOGLE_API_KEY`
|
||||
* - `grok` → `XAI_API_KEY`
|
||||
* - `minimax` → `MINIMAX_API_KEY`
|
||||
* - `copilot` → `GITHUB_COPILOT_TOKEN` / `GITHUB_TOKEN`, or interactive
|
||||
* OAuth2 device flow if neither is set
|
||||
*
|
||||
|
|
@ -89,6 +90,10 @@ export async function createAdapter(
|
|||
const { GrokAdapter } = await import('./grok.js')
|
||||
return new GrokAdapter(apiKey, baseURL)
|
||||
}
|
||||
case 'minimax': {
|
||||
const { MiniMaxAdapter } = await import('./minimax.js')
|
||||
return new MiniMaxAdapter(apiKey, baseURL)
|
||||
}
|
||||
default: {
|
||||
// The `never` cast here makes TypeScript enforce exhaustiveness.
|
||||
const _exhaustive: never = provider
|
||||
|
|
|
|||
|
|
@ -0,0 +1,29 @@
|
|||
/**
|
||||
* @fileoverview MiniMax adapter.
|
||||
*
|
||||
* Thin wrapper around OpenAIAdapter that hard-codes the official MiniMax
|
||||
* OpenAI-compatible endpoint and MINIMAX_API_KEY environment variable fallback.
|
||||
*/
|
||||
|
||||
import { OpenAIAdapter } from './openai.js'
|
||||
|
||||
/**
|
||||
* LLM adapter for MiniMax models (MiniMax-M2.7 series and future models).
|
||||
*
|
||||
* Thread-safe. Can be shared across agents.
|
||||
*
|
||||
* Usage:
|
||||
* provider: 'minimax'
|
||||
* model: 'MiniMax-M2.7' (or any current MiniMax model name)
|
||||
*/
|
||||
export class MiniMaxAdapter extends OpenAIAdapter {
|
||||
readonly name = 'minimax'
|
||||
|
||||
constructor(apiKey?: string, baseURL?: string) {
|
||||
// Allow override of baseURL (for proxies or future changes) but default to official MiniMax endpoint.
|
||||
super(
|
||||
apiKey ?? process.env['MINIMAX_API_KEY'],
|
||||
baseURL ?? process.env['MINIMAX_BASE_URL'] ?? 'https://api.minimax.io/v1'
|
||||
)
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,95 @@
|
|||
import { describe, it, expect, vi, beforeEach } from 'vitest'
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Mock OpenAI constructor (must be hoisted for Vitest)
|
||||
// ---------------------------------------------------------------------------
|
||||
const OpenAIMock = vi.hoisted(() => vi.fn())
|
||||
|
||||
vi.mock('openai', () => ({
|
||||
default: OpenAIMock,
|
||||
}))
|
||||
|
||||
import { MiniMaxAdapter } from '../src/llm/minimax.js'
|
||||
import { createAdapter } from '../src/llm/adapter.js'
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// MiniMaxAdapter tests
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
describe('MiniMaxAdapter', () => {
|
||||
beforeEach(() => {
|
||||
OpenAIMock.mockClear()
|
||||
})
|
||||
|
||||
it('has name "minimax"', () => {
|
||||
const adapter = new MiniMaxAdapter()
|
||||
expect(adapter.name).toBe('minimax')
|
||||
})
|
||||
|
||||
it('uses MINIMAX_API_KEY by default', () => {
|
||||
const original = process.env['MINIMAX_API_KEY']
|
||||
process.env['MINIMAX_API_KEY'] = 'minimax-test-key-123'
|
||||
|
||||
try {
|
||||
new MiniMaxAdapter()
|
||||
expect(OpenAIMock).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
apiKey: 'minimax-test-key-123',
|
||||
baseURL: 'https://api.minimax.io/v1',
|
||||
})
|
||||
)
|
||||
} finally {
|
||||
if (original === undefined) {
|
||||
delete process.env['MINIMAX_API_KEY']
|
||||
} else {
|
||||
process.env['MINIMAX_API_KEY'] = original
|
||||
}
|
||||
}
|
||||
})
|
||||
|
||||
it('uses official MiniMax global baseURL by default', () => {
|
||||
new MiniMaxAdapter('some-key')
|
||||
expect(OpenAIMock).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
apiKey: 'some-key',
|
||||
baseURL: 'https://api.minimax.io/v1',
|
||||
})
|
||||
)
|
||||
})
|
||||
|
||||
it('uses MINIMAX_BASE_URL env var when set', () => {
|
||||
const original = process.env['MINIMAX_BASE_URL']
|
||||
process.env['MINIMAX_BASE_URL'] = 'https://api.minimaxi.com/v1'
|
||||
|
||||
try {
|
||||
new MiniMaxAdapter('some-key')
|
||||
expect(OpenAIMock).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
apiKey: 'some-key',
|
||||
baseURL: 'https://api.minimaxi.com/v1',
|
||||
})
|
||||
)
|
||||
} finally {
|
||||
if (original === undefined) {
|
||||
delete process.env['MINIMAX_BASE_URL']
|
||||
} else {
|
||||
process.env['MINIMAX_BASE_URL'] = original
|
||||
}
|
||||
}
|
||||
})
|
||||
|
||||
it('allows overriding apiKey and baseURL', () => {
|
||||
new MiniMaxAdapter('custom-key', 'https://custom.endpoint/v1')
|
||||
expect(OpenAIMock).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
apiKey: 'custom-key',
|
||||
baseURL: 'https://custom.endpoint/v1',
|
||||
})
|
||||
)
|
||||
})
|
||||
|
||||
it('createAdapter("minimax") returns MiniMaxAdapter instance', async () => {
|
||||
const adapter = await createAdapter('minimax')
|
||||
expect(adapter).toBeInstanceOf(MiniMaxAdapter)
|
||||
})
|
||||
})
|
||||
Loading…
Reference in New Issue