Files
HealthLog/src/lib/ai/__tests__/anthropic-client.test.ts
T
Marc-André Bombeck 7f71f0e7a6 feat(ai): add optional vision inputs and capability resolution
Extend CompletionParams with optional images[] and documents[] so the
provider clients can carry an uploaded lab-report photo or PDF. Anthropic
folds image and native document blocks into the user turn; OpenAI and the
local OpenAI-compatible client fold image_url blocks. Text-only callers are
untouched. Add supportsVisionForConfig / supportsPdfForProvider and an
ocrExtract budget for the Lab-OCR ingestion path.
2026-06-20 12:24:38 +02:00

267 lines
8.5 KiB
TypeScript

import { describe, it, expect, vi, beforeEach } from "vitest";
import { AnthropicClient } from "../anthropic-client";
describe("AnthropicClient", () => {
beforeEach(() => {
vi.restoreAllMocks();
});
it("sends correct request shape with required headers", async () => {
const mockFetch = vi.fn().mockResolvedValue({
ok: true,
json: () =>
Promise.resolve({
content: [{ type: "text", text: '{"summary":"ok"}' }],
usage: { input_tokens: 30, output_tokens: 12 },
}),
});
vi.stubGlobal("fetch", mockFetch);
const client = new AnthropicClient({
apiKey: "sk-ant-test-key",
model: "claude-3-5-sonnet-latest",
});
const result = await client.generateCompletion({
systemPrompt: "You are a doctor.",
userPrompt: "Analyze this data.",
temperature: 0.4,
maxTokens: 800,
});
expect(result.content).toBe('{"summary":"ok"}');
expect(result.tokensUsed).toBe(42);
expect(result.model).toBe("claude-3-5-sonnet-latest");
expect(result.providerType).toBe("anthropic");
const [url, init] = mockFetch.mock.calls[0];
expect(url).toBe("https://api.anthropic.com/v1/messages");
expect(init.headers["x-api-key"]).toBe("sk-ant-test-key");
expect(init.headers["anthropic-version"]).toBe("2023-06-01");
expect(init.headers["Content-Type"]).toBe("application/json");
const body = JSON.parse(init.body);
expect(body.model).toBe("claude-3-5-sonnet-latest");
expect(body.max_tokens).toBe(800);
expect(body.temperature).toBe(0.4);
// System prompt is a separate top-level field, NOT a message.
expect(body.system).toBe("You are a doctor.");
expect(body.messages).toEqual([expect.objectContaining({ role: "user" })]);
// User message should be wrapped to coerce JSON output.
expect(body.messages[0].content).toContain("Analyze this data.");
expect(body.messages[0].content.toLowerCase()).toContain("json");
});
it("prefills the assistant turn with `{` and re-prepends it for JSON surfaces", async () => {
const mockFetch = vi.fn().mockResolvedValue({
ok: true,
json: () =>
Promise.resolve({
// Model continues from the prefilled `{`, so its text omits it.
content: [{ type: "text", text: '"summary":"ok"}' }],
usage: { input_tokens: 5, output_tokens: 5 },
}),
});
vi.stubGlobal("fetch", mockFetch);
const client = new AnthropicClient({
apiKey: "sk-ant-test",
model: "claude-3-5-sonnet-latest",
});
const result = await client.generateCompletion({
systemPrompt: "s",
userPrompt: "u",
responseFormat: "json",
});
// The returned content is the complete object (the `{` re-prepended).
expect(result.content).toBe('{"summary":"ok"}');
expect(JSON.parse(result.content)).toEqual({ summary: "ok" });
const body = JSON.parse(mockFetch.mock.calls[0][1].body);
expect(body.messages).toHaveLength(2);
expect(body.messages[1]).toEqual({ role: "assistant", content: "{" });
});
it("does NOT prefill for the prose (non-JSON) path", async () => {
const mockFetch = vi.fn().mockResolvedValue({
ok: true,
json: () =>
Promise.resolve({
content: [{ type: "text", text: "Just some prose." }],
usage: { input_tokens: 1, output_tokens: 1 },
}),
});
vi.stubGlobal("fetch", mockFetch);
const client = new AnthropicClient({
apiKey: "sk-ant-test",
model: "claude-3-5-sonnet-latest",
});
const result = await client.generateCompletion({
systemPrompt: "s",
userPrompt: "u",
});
expect(result.content).toBe("Just some prose.");
const body = JSON.parse(mockFetch.mock.calls[0][1].body);
expect(body.messages).toHaveLength(1);
expect(body.messages[0].role).toBe("user");
});
it("uses custom baseUrl when provided", async () => {
const mockFetch = vi.fn().mockResolvedValue({
ok: true,
json: () =>
Promise.resolve({
content: [{ type: "text", text: "{}" }],
usage: { input_tokens: 1, output_tokens: 1 },
}),
});
vi.stubGlobal("fetch", mockFetch);
const client = new AnthropicClient({
apiKey: "sk-ant-x",
model: "claude-3-haiku-20240307",
baseUrl: "https://api.anthropic.example/v1/",
});
await client.generateCompletion({ systemPrompt: "s", userPrompt: "u" });
expect(mockFetch.mock.calls[0][0]).toBe(
"https://api.anthropic.example/v1/messages",
);
});
it("captures structured error fields and redacts the API key on failure", async () => {
vi.stubGlobal(
"fetch",
vi.fn().mockResolvedValue({
ok: false,
status: 529,
text: () =>
Promise.resolve(
"overloaded; debug=sk-ant-supersecretkey1234567890 leaked",
),
}),
);
const client = new AnthropicClient({
apiKey: "sk-ant-test",
model: "claude-3-5-sonnet-latest",
});
let caught: unknown;
try {
await client.generateCompletion({
systemPrompt: "s",
userPrompt: "u",
});
} catch (e) {
caught = e;
}
expect(caught).toBeInstanceOf(Error);
const err = caught as Error & {
httpStatus?: number;
upstream?: string;
bodyExcerpt?: string;
model?: string;
};
expect(err.message).toBe("Anthropic request failed (529)");
expect(err.httpStatus).toBe(529);
expect(err.upstream).toBe("anthropic");
expect(err.model).toBe("claude-3-5-sonnet-latest");
expect(err.bodyExcerpt).toContain("sk-ant-***redacted***");
expect(err.bodyExcerpt).not.toContain("supersecretkey");
});
it("folds image + document blocks into the user turn for vision (Lab-OCR)", async () => {
const mockFetch = vi.fn().mockResolvedValue({
ok: true,
json: () =>
Promise.resolve({
content: [{ type: "text", text: '"rows":[]}' }],
usage: { input_tokens: 100, output_tokens: 10 },
}),
});
vi.stubGlobal("fetch", mockFetch);
const client = new AnthropicClient({
apiKey: "sk-ant-x",
model: "claude-sonnet-4-6",
});
await client.generateCompletion({
systemPrompt: "Transcribe this report.",
userPrompt: "Extract the readings.",
responseFormat: "json",
images: [{ mediaType: "image/jpeg", dataBase64: "aW1n" }],
documents: [{ mediaType: "application/pdf", dataBase64: "cGRm" }],
});
const body = JSON.parse(mockFetch.mock.calls[0][1].body);
// First message is the user turn; its content is now a typed array.
const content = body.messages[0].content;
expect(Array.isArray(content)).toBe(true);
const types = content.map((b: { type: string }) => b.type);
expect(types).toContain("image");
expect(types).toContain("document");
// The instruction text comes last, after the data blocks.
expect(content[content.length - 1].type).toBe("text");
const image = content.find((b: { type: string }) => b.type === "image");
expect(image.source).toEqual({
type: "base64",
media_type: "image/jpeg",
data: "aW1n",
});
const doc = content.find((b: { type: string }) => b.type === "document");
expect(doc.source.media_type).toBe("application/pdf");
// The assistant `{`-prefill still rides after the array content.
expect(body.messages[1]).toEqual({ role: "assistant", content: "{" });
});
it("keeps a bare-string user content when no vision input is present", async () => {
const mockFetch = vi.fn().mockResolvedValue({
ok: true,
json: () =>
Promise.resolve({
content: [{ type: "text", text: "{}" }],
usage: { input_tokens: 1, output_tokens: 1 },
}),
});
vi.stubGlobal("fetch", mockFetch);
const client = new AnthropicClient({
apiKey: "sk-ant-x",
model: "claude-sonnet-4-6",
});
await client.generateCompletion({ systemPrompt: "s", userPrompt: "u" });
const body = JSON.parse(mockFetch.mock.calls[0][1].body);
expect(typeof body.messages[0].content).toBe("string");
});
it("throws when content is empty", async () => {
vi.stubGlobal(
"fetch",
vi.fn().mockResolvedValue({
ok: true,
json: () => Promise.resolve({ content: [], usage: {} }),
}),
);
const client = new AnthropicClient({
apiKey: "sk-ant-x",
model: "claude-3-5-sonnet-latest",
});
await expect(
client.generateCompletion({ systemPrompt: "s", userPrompt: "u" }),
).rejects.toThrow("Anthropic returned empty content");
});
});