feat(#125): add Claude (Anthropic) LLM provider
Implement Anthropic Claude provider for Claude Opus, Sonnet, and Haiku models. Implementation details: - Created ClaudeProvider class implementing LlmProviderInterface - Added @anthropic-ai/sdk npm package integration - Implemented chat completion with streaming support - Claude-specific message format (system prompt separate from messages) - Static model list (Claude API doesn't provide list models endpoint) - Embeddings throw error as Claude doesn't support native embeddings - Added OpenTelemetry tracing with @TraceLlmCall decorator - 100% statement, function, and line coverage (79% branch coverage) Tests: - Created comprehensive test suite with 20 tests - All tests follow TDD pattern (written before implementation) - Tests cover initialization, health checks, chat, streaming, and error handling - Mocked Anthropic SDK client for isolated unit testing Quality checks: - All tests pass (1131 total tests across project) - ESLint passes with no errors - TypeScript type checking passes - Follows existing code patterns from OpenAI and Ollama providers Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
@@ -24,6 +24,7 @@
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"prisma:reset": "prisma migrate reset"
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},
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"dependencies": {
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"@anthropic-ai/sdk": "^0.72.1",
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"@mosaic/shared": "workspace:*",
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"@nestjs/common": "^11.1.12",
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"@nestjs/core": "^11.1.12",
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443
apps/api/src/llm/providers/claude.provider.spec.ts
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443
apps/api/src/llm/providers/claude.provider.spec.ts
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@@ -0,0 +1,443 @@
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import { describe, it, expect, beforeEach, vi, type Mock } from "vitest";
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import { ClaudeProvider, type ClaudeProviderConfig } from "./claude.provider";
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import type { ChatRequestDto, EmbedRequestDto } from "../dto";
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// Mock the @anthropic-ai/sdk module
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vi.mock("@anthropic-ai/sdk", () => {
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return {
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default: vi.fn().mockImplementation(function (this: unknown) {
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return {
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messages: {
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create: vi.fn(),
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stream: vi.fn(),
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},
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};
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}),
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};
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});
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describe("ClaudeProvider", () => {
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let provider: ClaudeProvider;
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let config: ClaudeProviderConfig;
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let mockAnthropicInstance: {
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messages: {
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create: Mock;
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stream: Mock;
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};
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};
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beforeEach(() => {
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// Reset all mocks
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vi.clearAllMocks();
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// Setup test configuration
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config = {
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endpoint: "https://api.anthropic.com",
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apiKey: "sk-ant-test-1234567890",
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timeout: 30000,
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};
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provider = new ClaudeProvider(config);
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// Get the mock instance created by the constructor
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mockAnthropicInstance = (provider as any).client;
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});
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describe("constructor and initialization", () => {
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it("should create provider with correct name and type", () => {
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expect(provider.name).toBe("Claude");
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expect(provider.type).toBe("claude");
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});
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it("should initialize successfully", async () => {
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await expect(provider.initialize()).resolves.toBeUndefined();
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});
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it("should use default endpoint when not provided", () => {
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const configWithoutEndpoint: ClaudeProviderConfig = {
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endpoint: "https://api.anthropic.com",
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apiKey: "sk-ant-test-1234567890",
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};
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const providerWithDefaults = new ClaudeProvider(configWithoutEndpoint);
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const returnedConfig = providerWithDefaults.getConfig();
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expect(returnedConfig.endpoint).toBe("https://api.anthropic.com");
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});
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});
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describe("checkHealth", () => {
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it("should return healthy status when Claude API is reachable", async () => {
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// Claude doesn't have a health check endpoint, so we test that it returns static models
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const health = await provider.checkHealth();
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expect(health.healthy).toBe(true);
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expect(health.provider).toBe("claude");
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expect(health.endpoint).toBe(config.endpoint);
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expect(health.models).toBeDefined();
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expect(health.models?.length).toBeGreaterThan(0);
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expect(health.models).toContain("claude-opus-4-20250514");
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});
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it("should return unhealthy status when Claude API is unreachable", async () => {
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// Mock a failing API call
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mockAnthropicInstance.messages.create.mockRejectedValue(new Error("API key invalid"));
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const health = await provider.checkHealth();
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expect(health.healthy).toBe(false);
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expect(health.provider).toBe("claude");
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expect(health.endpoint).toBe(config.endpoint);
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expect(health.error).toBe("API key invalid");
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});
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it("should handle non-Error exceptions", async () => {
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mockAnthropicInstance.messages.create.mockRejectedValue("string error");
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const health = await provider.checkHealth();
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expect(health.healthy).toBe(false);
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expect(health.error).toBe("string error");
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});
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});
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describe("listModels", () => {
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it("should return static list of Claude models", async () => {
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const models = await provider.listModels();
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expect(models).toBeDefined();
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expect(Array.isArray(models)).toBe(true);
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expect(models.length).toBeGreaterThan(0);
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expect(models).toContain("claude-opus-4-20250514");
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expect(models).toContain("claude-sonnet-4-20250514");
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expect(models).toContain("claude-3-5-sonnet-20241022");
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expect(models).toContain("claude-3-5-haiku-20241022");
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});
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});
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describe("chat", () => {
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it("should perform chat completion successfully", async () => {
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const request: ChatRequestDto = {
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model: "claude-opus-4-20250514",
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messages: [{ role: "user", content: "Hello" }],
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};
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const mockResponse = {
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id: "msg_123",
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type: "message",
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role: "assistant",
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content: [
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{
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type: "text",
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text: "Hello! How can I assist you today?",
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},
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],
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model: "claude-opus-4-20250514",
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stop_reason: "end_turn",
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stop_sequence: null,
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usage: {
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input_tokens: 10,
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output_tokens: 8,
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},
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};
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mockAnthropicInstance.messages.create.mockResolvedValue(mockResponse);
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const response = await provider.chat(request);
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expect(response).toEqual({
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model: "claude-opus-4-20250514",
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message: { role: "assistant", content: "Hello! How can I assist you today?" },
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done: true,
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promptEvalCount: 10,
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evalCount: 8,
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});
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expect(mockAnthropicInstance.messages.create).toHaveBeenCalledWith({
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model: "claude-opus-4-20250514",
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max_tokens: 1024,
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messages: [{ role: "user", content: "Hello" }],
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});
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});
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it("should include system prompt separately", async () => {
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const request: ChatRequestDto = {
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model: "claude-opus-4-20250514",
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messages: [{ role: "user", content: "Hello" }],
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systemPrompt: "You are a helpful assistant",
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};
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mockAnthropicInstance.messages.create.mockResolvedValue({
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id: "msg_123",
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type: "message",
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role: "assistant",
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content: [{ type: "text", text: "Hi!" }],
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model: "claude-opus-4-20250514",
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stop_reason: "end_turn",
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usage: { input_tokens: 15, output_tokens: 2 },
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});
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await provider.chat(request);
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expect(mockAnthropicInstance.messages.create).toHaveBeenCalledWith({
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model: "claude-opus-4-20250514",
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max_tokens: 1024,
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system: "You are a helpful assistant",
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messages: [{ role: "user", content: "Hello" }],
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});
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});
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it("should filter out system messages from messages array", async () => {
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const request: ChatRequestDto = {
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model: "claude-opus-4-20250514",
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messages: [
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{ role: "system", content: "System prompt from messages" },
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{ role: "user", content: "Hello" },
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],
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};
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mockAnthropicInstance.messages.create.mockResolvedValue({
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id: "msg_123",
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type: "message",
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role: "assistant",
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content: [{ type: "text", text: "Hi!" }],
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model: "claude-opus-4-20250514",
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stop_reason: "end_turn",
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usage: { input_tokens: 15, output_tokens: 2 },
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});
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await provider.chat(request);
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// System message should be moved to system field, not in messages array
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expect(mockAnthropicInstance.messages.create).toHaveBeenCalledWith({
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model: "claude-opus-4-20250514",
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max_tokens: 1024,
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system: "System prompt from messages",
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messages: [{ role: "user", content: "Hello" }],
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});
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});
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it("should pass temperature and maxTokens as parameters", async () => {
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const request: ChatRequestDto = {
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model: "claude-opus-4-20250514",
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messages: [{ role: "user", content: "Hello" }],
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temperature: 0.7,
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maxTokens: 2000,
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};
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mockAnthropicInstance.messages.create.mockResolvedValue({
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id: "msg_123",
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type: "message",
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role: "assistant",
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content: [{ type: "text", text: "Hi!" }],
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model: "claude-opus-4-20250514",
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stop_reason: "end_turn",
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usage: { input_tokens: 10, output_tokens: 2 },
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});
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await provider.chat(request);
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expect(mockAnthropicInstance.messages.create).toHaveBeenCalledWith({
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model: "claude-opus-4-20250514",
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max_tokens: 2000,
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messages: [{ role: "user", content: "Hello" }],
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temperature: 0.7,
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});
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});
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it("should throw error when chat fails", async () => {
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const request: ChatRequestDto = {
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model: "claude-opus-4-20250514",
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messages: [{ role: "user", content: "Hello" }],
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};
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mockAnthropicInstance.messages.create.mockRejectedValue(new Error("Model not available"));
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await expect(provider.chat(request)).rejects.toThrow("Chat completion failed");
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});
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it("should handle multiple content blocks", async () => {
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const request: ChatRequestDto = {
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model: "claude-opus-4-20250514",
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messages: [{ role: "user", content: "Hello" }],
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};
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const mockResponse = {
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id: "msg_123",
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type: "message",
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role: "assistant",
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content: [
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{ type: "text", text: "Hello! " },
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{ type: "text", text: "How can I help?" },
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],
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model: "claude-opus-4-20250514",
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stop_reason: "end_turn",
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usage: { input_tokens: 10, output_tokens: 8 },
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};
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mockAnthropicInstance.messages.create.mockResolvedValue(mockResponse);
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const response = await provider.chat(request);
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expect(response.message.content).toBe("Hello! How can I help?");
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});
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});
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describe("chatStream", () => {
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it("should stream chat completion chunks", async () => {
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const request: ChatRequestDto = {
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model: "claude-opus-4-20250514",
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messages: [{ role: "user", content: "Hello" }],
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};
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// Mock stream events
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const mockEvents = [
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{
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type: "message_start",
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message: {
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id: "msg_123",
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type: "message",
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role: "assistant",
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content: [],
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model: "claude-opus-4-20250514",
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usage: { input_tokens: 10, output_tokens: 0 },
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},
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},
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{
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type: "content_block_start",
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index: 0,
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content_block: { type: "text", text: "" },
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},
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{
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type: "content_block_delta",
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index: 0,
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delta: { type: "text_delta", text: "Hello" },
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},
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{
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type: "content_block_delta",
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index: 0,
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delta: { type: "text_delta", text: "!" },
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},
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{
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type: "content_block_stop",
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index: 0,
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},
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{
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type: "message_delta",
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delta: { stop_reason: "end_turn", stop_sequence: null },
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usage: { output_tokens: 2 },
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},
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{
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type: "message_stop",
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},
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];
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// Mock async generator
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async function* mockStreamGenerator() {
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for (const event of mockEvents) {
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yield event;
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}
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}
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mockAnthropicInstance.messages.stream.mockReturnValue(mockStreamGenerator());
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const chunks = [];
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for await (const chunk of provider.chatStream(request)) {
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chunks.push(chunk);
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}
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expect(chunks.length).toBeGreaterThan(0);
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expect(chunks[0].message.content).toBe("Hello");
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expect(chunks[1].message.content).toBe("!");
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expect(chunks[chunks.length - 1].done).toBe(true);
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expect(mockAnthropicInstance.messages.stream).toHaveBeenCalledWith({
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model: "claude-opus-4-20250514",
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max_tokens: 1024,
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messages: [{ role: "user", content: "Hello" }],
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});
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});
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it("should pass options in streaming mode", async () => {
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const request: ChatRequestDto = {
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model: "claude-opus-4-20250514",
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messages: [{ role: "user", content: "Hello" }],
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temperature: 0.5,
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maxTokens: 500,
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};
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async function* mockStreamGenerator() {
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yield {
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type: "content_block_delta",
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delta: { type: "text_delta", text: "Hi" },
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};
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yield {
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type: "message_stop",
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};
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}
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mockAnthropicInstance.messages.stream.mockReturnValue(mockStreamGenerator());
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const generator = provider.chatStream(request);
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await generator.next();
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expect(mockAnthropicInstance.messages.stream).toHaveBeenCalledWith({
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model: "claude-opus-4-20250514",
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max_tokens: 500,
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messages: [{ role: "user", content: "Hello" }],
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temperature: 0.5,
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});
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});
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it("should throw error when streaming fails", async () => {
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const request: ChatRequestDto = {
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model: "claude-opus-4-20250514",
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messages: [{ role: "user", content: "Hello" }],
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};
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mockAnthropicInstance.messages.stream.mockRejectedValue(new Error("Stream error"));
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const generator = provider.chatStream(request);
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await expect(generator.next()).rejects.toThrow("Streaming failed");
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});
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});
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describe("embed", () => {
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it("should throw error indicating embeddings not supported", async () => {
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const request: EmbedRequestDto = {
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model: "claude-opus-4-20250514",
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input: ["Hello world", "Test embedding"],
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};
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await expect(provider.embed(request)).rejects.toThrow(
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"Claude provider does not support embeddings"
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);
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});
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});
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|
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describe("getConfig", () => {
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it("should return copy of configuration", () => {
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const returnedConfig = provider.getConfig();
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expect(returnedConfig).toEqual(config);
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expect(returnedConfig).not.toBe(config); // Should be a copy, not reference
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});
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it("should prevent external modification of config", () => {
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const returnedConfig = provider.getConfig();
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returnedConfig.apiKey = "sk-ant-modified-key";
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const secondCall = provider.getConfig();
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expect(secondCall.apiKey).toBe("sk-ant-test-1234567890"); // Original unchanged
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});
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it("should not expose API key in logs", () => {
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const returnedConfig = provider.getConfig();
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// API key should be present in config
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expect(returnedConfig.apiKey).toBeDefined();
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expect(returnedConfig.apiKey.length).toBeGreaterThan(0);
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||||
});
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||||
});
|
||||
});
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||||
343
apps/api/src/llm/providers/claude.provider.ts
Normal file
343
apps/api/src/llm/providers/claude.provider.ts
Normal file
@@ -0,0 +1,343 @@
|
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import { Logger } from "@nestjs/common";
|
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import Anthropic from "@anthropic-ai/sdk";
|
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import type {
|
||||
LlmProviderInterface,
|
||||
LlmProviderConfig,
|
||||
LlmProviderHealthStatus,
|
||||
} from "./llm-provider.interface";
|
||||
import type { ChatRequestDto, ChatResponseDto, EmbedRequestDto, EmbedResponseDto } from "../dto";
|
||||
import { TraceLlmCall, createLlmSpan } from "../../telemetry";
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||||
import { SpanStatusCode } from "@opentelemetry/api";
|
||||
|
||||
/**
|
||||
* Static list of Claude models.
|
||||
* Claude API doesn't provide a list models endpoint, so we maintain this manually.
|
||||
*/
|
||||
const CLAUDE_MODELS = [
|
||||
"claude-opus-4-20250514",
|
||||
"claude-sonnet-4-20250514",
|
||||
"claude-3-5-sonnet-20241022",
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||||
"claude-3-5-haiku-20241022",
|
||||
"claude-3-opus-20240229",
|
||||
"claude-3-sonnet-20240229",
|
||||
"claude-3-haiku-20240307",
|
||||
];
|
||||
|
||||
/**
|
||||
* Configuration for Claude (Anthropic) LLM provider.
|
||||
* Extends base LlmProviderConfig with Claude-specific options.
|
||||
*
|
||||
* @example
|
||||
* ```typescript
|
||||
* const config: ClaudeProviderConfig = {
|
||||
* endpoint: "https://api.anthropic.com",
|
||||
* apiKey: "sk-ant-...",
|
||||
* timeout: 30000
|
||||
* };
|
||||
* ```
|
||||
*/
|
||||
export interface ClaudeProviderConfig extends LlmProviderConfig {
|
||||
/**
|
||||
* Claude API endpoint URL
|
||||
* @default "https://api.anthropic.com"
|
||||
*/
|
||||
endpoint: string;
|
||||
|
||||
/**
|
||||
* Anthropic API key (required)
|
||||
*/
|
||||
apiKey: string;
|
||||
|
||||
/**
|
||||
* Request timeout in milliseconds
|
||||
* @default 30000
|
||||
*/
|
||||
timeout?: number;
|
||||
}
|
||||
|
||||
/**
|
||||
* Claude (Anthropic) LLM provider implementation.
|
||||
* Provides integration with Anthropic's Claude models (Opus, Sonnet, Haiku).
|
||||
*
|
||||
* @example
|
||||
* ```typescript
|
||||
* const provider = new ClaudeProvider({
|
||||
* endpoint: "https://api.anthropic.com",
|
||||
* apiKey: "sk-ant-...",
|
||||
* timeout: 30000
|
||||
* });
|
||||
*
|
||||
* await provider.initialize();
|
||||
*
|
||||
* const response = await provider.chat({
|
||||
* model: "claude-opus-4-20250514",
|
||||
* messages: [{ role: "user", content: "Hello" }]
|
||||
* });
|
||||
* ```
|
||||
*/
|
||||
export class ClaudeProvider implements LlmProviderInterface {
|
||||
readonly name = "Claude";
|
||||
readonly type = "claude" as const;
|
||||
|
||||
private readonly logger = new Logger(ClaudeProvider.name);
|
||||
private readonly client: Anthropic;
|
||||
private readonly config: ClaudeProviderConfig;
|
||||
|
||||
/**
|
||||
* Creates a new Claude provider instance.
|
||||
*
|
||||
* @param config - Claude provider configuration
|
||||
*/
|
||||
constructor(config: ClaudeProviderConfig) {
|
||||
this.config = {
|
||||
...config,
|
||||
timeout: config.timeout ?? 30000,
|
||||
};
|
||||
|
||||
this.client = new Anthropic({
|
||||
apiKey: this.config.apiKey,
|
||||
baseURL: this.config.endpoint,
|
||||
timeout: this.config.timeout,
|
||||
});
|
||||
|
||||
this.logger.log(`Claude provider initialized with endpoint: ${this.config.endpoint}`);
|
||||
}
|
||||
|
||||
/**
|
||||
* Initialize the Claude provider.
|
||||
* This is a no-op for Claude as the client is initialized in the constructor.
|
||||
*/
|
||||
async initialize(): Promise<void> {
|
||||
// Claude client is initialized in constructor
|
||||
// No additional setup required
|
||||
}
|
||||
|
||||
/**
|
||||
* Check if the Claude API is healthy and reachable.
|
||||
* Since Claude doesn't have a dedicated health check endpoint,
|
||||
* we perform a minimal API call to verify connectivity.
|
||||
*
|
||||
* @returns Health status with available models if healthy
|
||||
*/
|
||||
async checkHealth(): Promise<LlmProviderHealthStatus> {
|
||||
try {
|
||||
// Test the API with a minimal request
|
||||
await this.client.messages.create({
|
||||
model: "claude-3-haiku-20240307",
|
||||
max_tokens: 1,
|
||||
messages: [{ role: "user", content: "test" }],
|
||||
});
|
||||
|
||||
return {
|
||||
healthy: true,
|
||||
provider: "claude",
|
||||
endpoint: this.config.endpoint,
|
||||
models: CLAUDE_MODELS,
|
||||
};
|
||||
} catch (error: unknown) {
|
||||
const errorMessage = error instanceof Error ? error.message : String(error);
|
||||
this.logger.warn(`Claude health check failed: ${errorMessage}`);
|
||||
|
||||
return {
|
||||
healthy: false,
|
||||
provider: "claude",
|
||||
endpoint: this.config.endpoint,
|
||||
error: errorMessage,
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* List all available Claude models.
|
||||
* Returns a static list as Claude doesn't provide a list models API.
|
||||
*
|
||||
* @returns Array of model names
|
||||
*/
|
||||
listModels(): Promise<string[]> {
|
||||
return Promise.resolve(CLAUDE_MODELS);
|
||||
}
|
||||
|
||||
/**
|
||||
* Perform a synchronous chat completion.
|
||||
*
|
||||
* @param request - Chat request with messages and configuration
|
||||
* @returns Complete chat response
|
||||
* @throws {Error} If the request fails
|
||||
*/
|
||||
@TraceLlmCall({ system: "claude", operation: "chat" })
|
||||
async chat(request: ChatRequestDto): Promise<ChatResponseDto> {
|
||||
try {
|
||||
const { systemPrompt, messages } = this.extractSystemPrompt(request);
|
||||
const options = this.buildChatOptions(request);
|
||||
|
||||
const response = await this.client.messages.create({
|
||||
model: request.model,
|
||||
max_tokens: request.maxTokens ?? 1024,
|
||||
messages: messages.map((m) => ({
|
||||
role: m.role as "user" | "assistant",
|
||||
content: m.content,
|
||||
})),
|
||||
...(systemPrompt ? { system: systemPrompt } : {}),
|
||||
...options,
|
||||
});
|
||||
|
||||
// Extract text content from response
|
||||
const textContent = response.content
|
||||
.filter((block) => block.type === "text")
|
||||
.map((block) => ("text" in block ? block.text : ""))
|
||||
.join("");
|
||||
|
||||
const result: ChatResponseDto = {
|
||||
model: response.model,
|
||||
message: {
|
||||
role: "assistant",
|
||||
content: textContent,
|
||||
},
|
||||
done: true,
|
||||
};
|
||||
|
||||
// Add usage information
|
||||
result.promptEvalCount = response.usage.input_tokens;
|
||||
result.evalCount = response.usage.output_tokens;
|
||||
|
||||
return result;
|
||||
} catch (error: unknown) {
|
||||
const errorMessage = error instanceof Error ? error.message : String(error);
|
||||
this.logger.error(`Chat completion failed: ${errorMessage}`);
|
||||
throw new Error(`Chat completion failed: ${errorMessage}`);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Perform a streaming chat completion.
|
||||
* Yields response chunks as they arrive from the Claude API.
|
||||
*
|
||||
* @param request - Chat request with messages and configuration
|
||||
* @yields Chat response chunks
|
||||
* @throws {Error} If the request fails
|
||||
*/
|
||||
async *chatStream(request: ChatRequestDto): AsyncGenerator<ChatResponseDto> {
|
||||
const span = createLlmSpan("claude", "chat.stream", request.model);
|
||||
|
||||
try {
|
||||
const { systemPrompt, messages } = this.extractSystemPrompt(request);
|
||||
const options = this.buildChatOptions(request);
|
||||
|
||||
const streamGenerator = this.client.messages.stream({
|
||||
model: request.model,
|
||||
max_tokens: request.maxTokens ?? 1024,
|
||||
messages: messages.map((m) => ({
|
||||
role: m.role as "user" | "assistant",
|
||||
content: m.content,
|
||||
})),
|
||||
...(systemPrompt ? { system: systemPrompt } : {}),
|
||||
...options,
|
||||
});
|
||||
|
||||
for await (const event of streamGenerator) {
|
||||
if (event.type === "content_block_delta" && event.delta.type === "text_delta") {
|
||||
yield {
|
||||
model: request.model,
|
||||
message: {
|
||||
role: "assistant",
|
||||
content: event.delta.text,
|
||||
},
|
||||
done: false,
|
||||
};
|
||||
} else if (event.type === "message_stop") {
|
||||
yield {
|
||||
model: request.model,
|
||||
message: {
|
||||
role: "assistant",
|
||||
content: "",
|
||||
},
|
||||
done: true,
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
span.setStatus({ code: SpanStatusCode.OK });
|
||||
} catch (error: unknown) {
|
||||
const errorMessage = error instanceof Error ? error.message : String(error);
|
||||
this.logger.error(`Streaming failed: ${errorMessage}`);
|
||||
|
||||
span.recordException(error instanceof Error ? error : new Error(errorMessage));
|
||||
span.setStatus({
|
||||
code: SpanStatusCode.ERROR,
|
||||
message: errorMessage,
|
||||
});
|
||||
|
||||
throw new Error(`Streaming failed: ${errorMessage}`);
|
||||
} finally {
|
||||
span.end();
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Generate embeddings for the given input texts.
|
||||
* Claude does not support embeddings - this method throws an error.
|
||||
*
|
||||
* @param _request - Embedding request (unused)
|
||||
* @throws {Error} Always throws as Claude doesn't support embeddings
|
||||
*/
|
||||
@TraceLlmCall({ system: "claude", operation: "embed" })
|
||||
embed(_request: EmbedRequestDto): Promise<EmbedResponseDto> {
|
||||
throw new Error(
|
||||
"Claude provider does not support embeddings. Use Ollama or OpenAI for embeddings."
|
||||
);
|
||||
}
|
||||
|
||||
/**
|
||||
* Get the current provider configuration.
|
||||
* Returns a copy to prevent external modification.
|
||||
*
|
||||
* @returns Provider configuration object
|
||||
*/
|
||||
getConfig(): ClaudeProviderConfig {
|
||||
return { ...this.config };
|
||||
}
|
||||
|
||||
/**
|
||||
* Extract system prompt from messages or systemPrompt field.
|
||||
* Claude requires system prompts to be separate from messages.
|
||||
*
|
||||
* @param request - Chat request
|
||||
* @returns Object with system prompt and filtered messages
|
||||
*/
|
||||
private extractSystemPrompt(request: ChatRequestDto): {
|
||||
systemPrompt: string | undefined;
|
||||
messages: { role: string; content: string }[];
|
||||
} {
|
||||
let systemPrompt = request.systemPrompt;
|
||||
const messages = [];
|
||||
|
||||
// Extract system message from messages array if present
|
||||
for (const message of request.messages) {
|
||||
if (message.role === "system") {
|
||||
systemPrompt = message.content;
|
||||
} else {
|
||||
messages.push(message);
|
||||
}
|
||||
}
|
||||
|
||||
return { systemPrompt, messages };
|
||||
}
|
||||
|
||||
/**
|
||||
* Build Claude-specific chat options from request.
|
||||
*
|
||||
* @param request - Chat request
|
||||
* @returns Claude options object
|
||||
*/
|
||||
private buildChatOptions(request: ChatRequestDto): {
|
||||
temperature?: number;
|
||||
} {
|
||||
const options: { temperature?: number } = {};
|
||||
|
||||
if (request.temperature !== undefined) {
|
||||
options.temperature = request.temperature;
|
||||
}
|
||||
|
||||
return options;
|
||||
}
|
||||
}
|
||||
@@ -1,3 +1,4 @@
|
||||
export * from "./llm-provider.interface";
|
||||
export * from "./claude.provider";
|
||||
export * from "./openai.provider";
|
||||
export * from "./ollama.provider";
|
||||
|
||||
Reference in New Issue
Block a user