diff --git a/README.md b/README.md index e7bf778..d1849cd 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@ CrewAI is Python. LangGraph makes you draw the graph by hand. `open-multi-agent` - **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. - **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. -- **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. +- **Multi-model teams.** Claude, GPT, Gemini, Grok, MiniMax, DeepSeek, 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. 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/). @@ -74,6 +74,7 @@ Set the API key for your provider. Local models via Ollama require no API key - `XAI_API_KEY` (for Grok) - `MINIMAX_API_KEY` (for MiniMax) - `MINIMAX_BASE_URL` (for MiniMax — optional, selects endpoint) +- `DEEPSEEK_API_KEY` (for DeepSeek) - `GITHUB_TOKEN` (for Copilot) **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. @@ -141,13 +142,14 @@ For MapReduce-style fan-out without task dependencies, use `AgentPool.runParalle ## Examples -17 runnable scripts and 1 full-stack demo in [`examples/`](./examples/). Start with these: +18 runnable scripts and 1 full-stack demo in [`examples/`](./examples/). Start with these: - [02 — Team Collaboration](examples/02-team-collaboration.ts): `runTeam()` coordinator pattern. - [06 — Local Model](examples/06-local-model.ts): Ollama and Claude in one pipeline via `baseURL`. - [09 — Structured Output](examples/09-structured-output.ts): any agent returns Zod-validated JSON. - [11 — Trace Observability](examples/11-trace-observability.ts): `onTrace` spans for LLM calls, tools, and tasks. - [17 — MiniMax](examples/17-minimax.ts): three-agent team using MiniMax M2.7. +- [18 — DeepSeek](examples/18-deepseek.ts): three-agent team using DeepSeek Chat. - [with-vercel-ai-sdk](examples/with-vercel-ai-sdk/): Next.js app — OMA `runTeam()` + AI SDK `useChat` streaming. Run scripts with `npx tsx examples/02-team-collaboration.ts`. @@ -187,6 +189,7 @@ Run scripts with `npx tsx examples/02-team-collaboration.ts`. │ │ - GeminiAdapter │ │ │ - GrokAdapter │ │ │ - MiniMaxAdapter │ + │ │ - DeepSeekAdapter │ │ └──────────────────────┘ ┌────────▼──────────┐ │ AgentRunner │ ┌──────────────────────┐ @@ -288,6 +291,7 @@ Notes: | Grok (xAI) | `provider: 'grok'` | `XAI_API_KEY` | Verified | | MiniMax (global) | `provider: 'minimax'` | `MINIMAX_API_KEY` | Verified | | MiniMax (China) | `provider: 'minimax'` + `MINIMAX_BASE_URL` | `MINIMAX_API_KEY` | Verified | +| DeepSeek | `provider: 'deepseek'` | `DEEPSEEK_API_KEY` | Verified | | GitHub Copilot | `provider: 'copilot'` | `GITHUB_TOKEN` | Verified | | Gemini | `provider: 'gemini'` | `GEMINI_API_KEY` | Verified | | Ollama / vLLM / LM Studio | `provider: 'openai'` + `baseURL` | — | Verified | @@ -297,7 +301,7 @@ Gemini requires `npm install @google/genai` (optional peer dependency). Verified local models with tool-calling: **Gemma 4** (see [example 08](examples/08-gemma4-local.ts)). -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'`. +Any OpenAI-compatible API should work via `provider: 'openai'` + `baseURL` (Groq, Mistral, Qwen, etc.). **Grok, MiniMax, and DeepSeek now have first-class support** via `provider: 'grok'`, `provider: 'minimax'`, and `provider: 'deepseek'`. ### Local Model Tool-Calling @@ -355,6 +359,17 @@ Set `MINIMAX_API_KEY`. The adapter selects the endpoint via `MINIMAX_BASE_URL`: You can also pass `baseURL` directly in `AgentConfig` to override the env var. +```typescript +const deepseekAgent: AgentConfig = { + name: 'deepseek-agent', + provider: 'deepseek', + model: 'deepseek-chat', + systemPrompt: 'You are a helpful assistant.', +} +``` + +Set `DEEPSEEK_API_KEY`. Available models: `deepseek-chat` (DeepSeek-V3, recommended for coding) and `deepseek-reasoner` (thinking mode). + ## Contributing Issues, feature requests, and PRs are welcome. Some areas where contributions would be especially valuable: diff --git a/README_zh.md b/README_zh.md index 2dc9d13..aa9c83e 100644 --- a/README_zh.md +++ b/README_zh.md @@ -17,7 +17,7 @@ CrewAI 是 Python。LangGraph 需要你自己画图。`open-multi-agent` 是你 - **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。 - **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。 -- **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`。 +- **多模型团队。** Claude、GPT、Gemini、Grok、MiniMax、DeepSeek、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`。 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。 @@ -74,6 +74,7 @@ npm install @jackchen_me/open-multi-agent - `XAI_API_KEY`(Grok) - `MINIMAX_API_KEY`(MiniMax) - `MINIMAX_BASE_URL`(MiniMax — 可选,用于选择接入端点) +- `DEEPSEEK_API_KEY`(DeepSeek) - `GITHUB_TOKEN`(Copilot) 三个智能体,一个目标——框架处理剩下的一切: @@ -139,13 +140,14 @@ Tokens: 12847 output tokens ## 示例 -[`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: +[`examples/`](./examples/) 里有 18 个可运行脚本和 1 个完整项目。推荐从这几个开始: - [02 — 团队协作](examples/02-team-collaboration.ts):`runTeam()` 协调者模式。 - [06 — 本地模型](examples/06-local-model.ts):通过 `baseURL` 把 Ollama 和 Claude 放在同一条管线。 - [09 — 结构化输出](examples/09-structured-output.ts):任意 agent 产出 Zod 校验过的 JSON。 - [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。 - [17 — MiniMax](examples/17-minimax.ts):使用 MiniMax M2.7 的三智能体团队。 +- [18 — DeepSeek](examples/18-deepseek.ts):使用 DeepSeek Chat 的三智能体团队。 - [with-vercel-ai-sdk](examples/with-vercel-ai-sdk/):Next.js 应用 — OMA `runTeam()` + AI SDK `useChat` 流式输出。 用 `npx tsx examples/02-team-collaboration.ts` 运行脚本示例。 @@ -185,6 +187,7 @@ Tokens: 12847 output tokens │ │ - GeminiAdapter │ │ │ - GrokAdapter │ │ │ - MiniMaxAdapter │ + │ │ - DeepSeekAdapter │ │ └──────────────────────┘ ┌────────▼──────────┐ │ AgentRunner │ ┌──────────────────────┐ @@ -262,6 +265,7 @@ const customAgent: AgentConfig = { | Grok (xAI) | `provider: 'grok'` | `XAI_API_KEY` | 已验证 | | MiniMax(全球) | `provider: 'minimax'` | `MINIMAX_API_KEY` | 已验证 | | MiniMax(国内) | `provider: 'minimax'` + `MINIMAX_BASE_URL` | `MINIMAX_API_KEY` | 已验证 | +| DeepSeek | `provider: 'deepseek'` | `DEEPSEEK_API_KEY` | 已验证 | | GitHub Copilot | `provider: 'copilot'` | `GITHUB_TOKEN` | 已验证 | | Gemini | `provider: 'gemini'` | `GEMINI_API_KEY` | 已验证 | | Ollama / vLLM / LM Studio | `provider: 'openai'` + `baseURL` | — | 已验证 | @@ -271,7 +275,7 @@ Gemini 需要 `npm install @google/genai`(optional peer dependency)。 已验证支持 tool-calling 的本地模型:**Gemma 4**(见[示例 08](examples/08-gemma4-local.ts))。 -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'`。 +任何 OpenAI 兼容 API 均可通过 `provider: 'openai'` + `baseURL` 接入(Groq、Mistral、Qwen 等)。**Grok、MiniMax 和 DeepSeek 现已原生支持**,分别使用 `provider: 'grok'`、`provider: 'minimax'` 和 `provider: 'deepseek'`。 ### 本地模型 Tool-Calling @@ -329,6 +333,17 @@ const minimaxAgent: AgentConfig = { 也可在 `AgentConfig` 中直接传入 `baseURL` 覆盖环境变量。 +```typescript +const deepseekAgent: AgentConfig = { + name: 'deepseek-agent', + provider: 'deepseek', + model: 'deepseek-chat', + systemPrompt: '你是一个有用的助手。', +} +``` + +设置 `DEEPSEEK_API_KEY`。可用模型:`deepseek-chat`(DeepSeek-V3,推荐用于编码任务)和 `deepseek-reasoner`(思考模式)。 + ## 参与贡献 欢迎提 Issue、功能需求和 PR。以下方向的贡献尤其有价值: diff --git a/docs/cli.md b/docs/cli.md index 9fc6ccd..38a6522 100644 --- a/docs/cli.md +++ b/docs/cli.md @@ -55,7 +55,7 @@ Global flags: [`--pretty`](#output-flags), [`--include-messages`](#output-flags) Read-only helper for wiring JSON configs and env vars. - **`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). -- **`oma provider template `** — Prints a JSON object with example `orchestrator` and `agent` fields plus placeholder `env` entries. `` is one of: `anthropic`, `openai`, `gemini`, `grok`, `minimax`, `copilot`. +- **`oma provider template `** — Prints a JSON object with example `orchestrator` and `agent` fields plus placeholder `env` entries. `` is one of: `anthropic`, `openai`, `gemini`, `grok`, `minimax`, `deepseek`, `copilot`. Supports `--pretty`. diff --git a/examples/18-deepseek.ts b/examples/18-deepseek.ts new file mode 100644 index 0000000..937b2ef --- /dev/null +++ b/examples/18-deepseek.ts @@ -0,0 +1,158 @@ +/** + * Example 18 — Multi-Agent Team Collaboration with DeepSeek + * + * Three specialized agents (architect, developer, reviewer) collaborate via `runTeam()` + * to build a minimal Express.js REST API. Every agent uses DeepSeek's flagship model. + * + * Run: + * npx tsx examples/18-deepseek.ts + * + * Prerequisites: + * DEEPSEEK_API_KEY environment variable must be set. + * + * Available models: + * deepseek-chat — DeepSeek-V3 (non-thinking mode, recommended for coding tasks) + * deepseek-reasoner — DeepSeek-V3 (thinking mode, for complex reasoning) + */ + +import { OpenMultiAgent } from '../src/index.js' +import type { AgentConfig, OrchestratorEvent } from '../src/types.js' + +// --------------------------------------------------------------------------- +// Agent definitions (all using deepseek-chat) +// --------------------------------------------------------------------------- +const architect: AgentConfig = { + name: 'architect', + model: 'deepseek-reasoner', + provider: 'deepseek', + systemPrompt: `You are a software architect with deep experience in Node.js and REST API design. +Your job is to design clear, production-quality API contracts and file/directory structures. +Output concise plans in markdown — no unnecessary prose.`, + tools: ['bash', 'file_write'], + maxTurns: 5, + temperature: 0.2, +} + +const developer: AgentConfig = { + name: 'developer', + model: 'deepseek-chat', + provider: 'deepseek', + systemPrompt: `You are a TypeScript/Node.js developer. You implement what the architect specifies. +Write clean, runnable code with proper error handling. Use the tools to write files and run tests.`, + tools: ['bash', 'file_read', 'file_write', 'file_edit'], + maxTurns: 12, + temperature: 0.1, +} + +const reviewer: AgentConfig = { + name: 'reviewer', + model: 'deepseek-chat', + provider: 'deepseek', + systemPrompt: `You are a senior code reviewer. Review code for correctness, security, and clarity. +Provide a structured review with: LGTM items, suggestions, and any blocking issues. +Read files using the tools before reviewing.`, + tools: ['bash', 'file_read', 'grep'], + maxTurns: 5, + temperature: 0.3, +} + +// --------------------------------------------------------------------------- +// Progress tracking +// --------------------------------------------------------------------------- +const startTimes = new Map() + +function handleProgress(event: OrchestratorEvent): void { + const ts = new Date().toISOString().slice(11, 23) // HH:MM:SS.mmm + switch (event.type) { + case 'agent_start': + startTimes.set(event.agent ?? '', Date.now()) + console.log(`[${ts}] AGENT START → ${event.agent}`) + break + case 'agent_complete': { + const elapsed = Date.now() - (startTimes.get(event.agent ?? '') ?? Date.now()) + console.log(`[${ts}] AGENT DONE ← ${event.agent} (${elapsed}ms)`) + break + } + case 'task_start': + console.log(`[${ts}] TASK START ↓ ${event.task}`) + break + case 'task_complete': + console.log(`[${ts}] TASK DONE ↑ ${event.task}`) + break + case 'message': + console.log(`[${ts}] MESSAGE • ${event.agent} → (team)`) + break + case 'error': + console.error(`[${ts}] ERROR ✗ agent=${event.agent} task=${event.task}`) + if (event.data instanceof Error) console.error(` ${event.data.message}`) + break + } +} + +// --------------------------------------------------------------------------- +// Orchestrate +// --------------------------------------------------------------------------- +const orchestrator = new OpenMultiAgent({ + defaultModel: 'deepseek-chat', + defaultProvider: 'deepseek', + maxConcurrency: 1, // sequential for readable output + onProgress: handleProgress, +}) + +const team = orchestrator.createTeam('api-team', { + name: 'api-team', + agents: [architect, developer, reviewer], + sharedMemory: true, + maxConcurrency: 1, +}) + +console.log(`Team "${team.name}" created with agents: ${team.getAgents().map(a => a.name).join(', ')}`) +console.log('\nStarting team run...\n') +console.log('='.repeat(60)) + +const goal = `Create a minimal Express.js REST API in /tmp/express-api/ with: +- GET /health → { status: "ok" } +- GET /users → returns a hardcoded array of 2 user objects +- POST /users → accepts { name, email } body, logs it, returns 201 +- Proper error handling middleware +- The server should listen on port 3001 +- Include a package.json with the required dependencies` + +const result = await orchestrator.runTeam(team, goal) + +console.log('\n' + '='.repeat(60)) + +// --------------------------------------------------------------------------- +// Results +// --------------------------------------------------------------------------- +console.log('\nTeam run complete.') +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)) +} diff --git a/src/cli/oma.ts b/src/cli/oma.ts index 75a08b3..859d9d5 100644 --- a/src/cli/oma.ts +++ b/src/cli/oma.ts @@ -51,6 +51,7 @@ const PROVIDER_REFERENCE: ReadonlyArray<{ { 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: 'deepseek', apiKeyEnv: ['DEEPSEEK_API_KEY'], baseUrlSupported: true, notes: 'OpenAI-compatible endpoint at https://api.deepseek.com/v1. Models: deepseek-chat (V3), deepseek-reasoner (thinking).' }, { id: 'copilot', apiKeyEnv: ['GITHUB_COPILOT_TOKEN', 'GITHUB_TOKEN'], @@ -261,6 +262,7 @@ const DEFAULT_MODEL_HINT: Record = { grok: 'grok-2-latest', copilot: 'gpt-4o', minimax: 'MiniMax-M2.7', + deepseek: 'deepseek-chat', } async function cmdProvider(sub: string | undefined, arg: string | undefined, pretty: boolean): Promise { diff --git a/src/llm/adapter.ts b/src/llm/adapter.ts index 939a9eb..75426ef 100644 --- a/src/llm/adapter.ts +++ b/src/llm/adapter.ts @@ -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' | 'minimax' | 'openai' | 'gemini' +export type SupportedProvider = 'anthropic' | 'copilot' | 'deepseek' | 'grok' | 'minimax' | 'openai' | 'gemini' /** * Instantiate the appropriate {@link LLMAdapter} for the given provider. @@ -50,6 +50,7 @@ export type SupportedProvider = 'anthropic' | 'copilot' | 'grok' | 'minimax' | ' * - `gemini` → `GEMINI_API_KEY` / `GOOGLE_API_KEY` * - `grok` → `XAI_API_KEY` * - `minimax` → `MINIMAX_API_KEY` + * - `deepseek` → `DEEPSEEK_API_KEY` * - `copilot` → `GITHUB_COPILOT_TOKEN` / `GITHUB_TOKEN`, or interactive * OAuth2 device flow if neither is set * @@ -94,6 +95,10 @@ export async function createAdapter( const { MiniMaxAdapter } = await import('./minimax.js') return new MiniMaxAdapter(apiKey, baseURL) } + case 'deepseek': { + const { DeepSeekAdapter } = await import('./deepseek.js') + return new DeepSeekAdapter(apiKey, baseURL) + } default: { // The `never` cast here makes TypeScript enforce exhaustiveness. const _exhaustive: never = provider diff --git a/src/llm/deepseek.ts b/src/llm/deepseek.ts new file mode 100644 index 0000000..cb52a24 --- /dev/null +++ b/src/llm/deepseek.ts @@ -0,0 +1,29 @@ +/** + * @fileoverview DeepSeek adapter. + * + * Thin wrapper around OpenAIAdapter that hard-codes the official DeepSeek + * OpenAI-compatible endpoint and DEEPSEEK_API_KEY environment variable fallback. + */ + +import { OpenAIAdapter } from './openai.js' + +/** + * LLM adapter for DeepSeek models (deepseek-chat, deepseek-reasoner, and future models). + * + * Thread-safe. Can be shared across agents. + * + * Usage: + * provider: 'deepseek' + * model: 'deepseek-chat' (or 'deepseek-reasoner' for the thinking model) + */ +export class DeepSeekAdapter extends OpenAIAdapter { + readonly name = 'deepseek' + + constructor(apiKey?: string, baseURL?: string) { + // Allow override of baseURL (for proxies or future changes) but default to official DeepSeek endpoint. + super( + apiKey ?? process.env['DEEPSEEK_API_KEY'], + baseURL ?? 'https://api.deepseek.com/v1' + ) + } +} diff --git a/tests/deepseek-adapter.test.ts b/tests/deepseek-adapter.test.ts new file mode 100644 index 0000000..2d68427 --- /dev/null +++ b/tests/deepseek-adapter.test.ts @@ -0,0 +1,74 @@ +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 { DeepSeekAdapter } from '../src/llm/deepseek.js' +import { createAdapter } from '../src/llm/adapter.js' + +// --------------------------------------------------------------------------- +// DeepSeekAdapter tests +// --------------------------------------------------------------------------- + +describe('DeepSeekAdapter', () => { + beforeEach(() => { + OpenAIMock.mockClear() + }) + + it('has name "deepseek"', () => { + const adapter = new DeepSeekAdapter() + expect(adapter.name).toBe('deepseek') + }) + + it('uses DEEPSEEK_API_KEY by default', () => { + const original = process.env['DEEPSEEK_API_KEY'] + process.env['DEEPSEEK_API_KEY'] = 'deepseek-test-key-123' + + try { + new DeepSeekAdapter() + expect(OpenAIMock).toHaveBeenCalledWith( + expect.objectContaining({ + apiKey: 'deepseek-test-key-123', + baseURL: 'https://api.deepseek.com/v1', + }) + ) + } finally { + if (original === undefined) { + delete process.env['DEEPSEEK_API_KEY'] + } else { + process.env['DEEPSEEK_API_KEY'] = original + } + } + }) + + it('uses official DeepSeek baseURL by default', () => { + new DeepSeekAdapter('some-key') + expect(OpenAIMock).toHaveBeenCalledWith( + expect.objectContaining({ + apiKey: 'some-key', + baseURL: 'https://api.deepseek.com/v1', + }) + ) + }) + + it('allows overriding apiKey and baseURL', () => { + new DeepSeekAdapter('custom-key', 'https://custom.endpoint/v1') + expect(OpenAIMock).toHaveBeenCalledWith( + expect.objectContaining({ + apiKey: 'custom-key', + baseURL: 'https://custom.endpoint/v1', + }) + ) + }) + + it('createAdapter("deepseek") returns DeepSeekAdapter instance', async () => { + const adapter = await createAdapter('deepseek') + expect(adapter).toBeInstanceOf(DeepSeekAdapter) + }) +})