592ca9b5c4
- Remove `new Request('http://localhost/api/keys')` default arg from GET handler in src/app/api/keys/route.ts (line 26)
- Fix api-key-reveal-route.test.mjs to pass explicit Request instead of calling GET() with no args
- Add --output-dir coverage to all c8 scripts in package.json
- Add coverage.reportsDirectory: 'coverage' to vitest.config.ts and vitest.mcp.config.ts
- Fix CHANGELOG.md structure (# Changelog + [Unreleased] to top)
- Remove 30+ stale coverage-* directories from project root
- Coverage: Statements 78.76% | Branches 72.75% | Functions 80.93% | Lines 78.76% (all thresholds passed)
175 lines
5.0 KiB
JavaScript
175 lines
5.0 KiB
JavaScript
import test from "node:test";
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import assert from "node:assert/strict";
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import { mkdtempSync } from "node:fs";
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import { tmpdir } from "node:os";
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import { join } from "node:path";
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process.env.DATA_DIR = mkdtempSync(join(tmpdir(), "omniroute-embeddings-"));
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const { handleEmbedding } = await import("../../open-sse/handlers/embeddings.ts");
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test("handleEmbedding routes prefixed models and forwards optional fields", async () => {
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const originalFetch = globalThis.fetch;
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const calls = [];
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globalThis.fetch = async (url, options = {}) => {
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calls.push({
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url: String(url),
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headers: options.headers,
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body: JSON.parse(String(options.body || "{}")),
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});
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return new Response(
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JSON.stringify({
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data: [{ object: "embedding", embedding: [0.1, 0.2], index: 0 }],
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usage: { prompt_tokens: 3, total_tokens: 3 },
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}),
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{ status: 200, headers: { "content-type": "application/json" } }
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);
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};
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try {
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const result = await handleEmbedding({
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body: {
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model: "openai/text-embedding-3-large",
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input: "hello world",
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dimensions: 512,
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encoding_format: "float",
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user: "user-123",
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},
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credentials: { apiKey: "openai-key" },
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log: null,
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});
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assert.equal(result.success, true);
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assert.equal(calls.length, 1);
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assert.equal(calls[0].url, "https://api.openai.com/v1/embeddings");
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assert.equal(calls[0].headers.Authorization, "Bearer openai-key");
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assert.deepEqual(calls[0].body, {
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model: "text-embedding-3-large",
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input: "hello world",
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dimensions: 512,
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encoding_format: "float",
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user: "user-123",
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});
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assert.equal(result.data.model, "openai/text-embedding-3-large");
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assert.deepEqual(result.data.usage, { prompt_tokens: 3, total_tokens: 3 });
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} finally {
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globalThis.fetch = originalFetch;
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}
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});
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test("handleEmbedding supports resolved local providers without auth and preserves array input", async () => {
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const originalFetch = globalThis.fetch;
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let captured;
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globalThis.fetch = async (url, options = {}) => {
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captured = {
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url: String(url),
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headers: options.headers,
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body: JSON.parse(String(options.body || "{}")),
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};
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return new Response(
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JSON.stringify({
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data: [
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{ object: "embedding", embedding: [1, 2], index: 0 },
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{ object: "embedding", embedding: [3, 4], index: 1 },
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],
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usage: { total_tokens: 10 },
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}),
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{ status: 200, headers: { "content-type": "application/json" } }
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);
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};
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try {
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const result = await handleEmbedding({
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body: {
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model: "localembed/my-model",
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input: ["alpha", "beta"],
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},
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credentials: null,
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resolvedProvider: {
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id: "localembed",
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baseUrl: "http://localhost:11434/embeddings",
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authType: "none",
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authHeader: "none",
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models: [],
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},
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resolvedModel: "my-model",
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log: null,
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});
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assert.equal(result.success, true);
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assert.equal(captured.url, "http://localhost:11434/embeddings");
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assert.equal(captured.headers.Authorization, undefined);
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assert.deepEqual(captured.body, {
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model: "my-model",
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input: ["alpha", "beta"],
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});
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assert.equal(result.data.usage.total_tokens, 10);
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} finally {
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globalThis.fetch = originalFetch;
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}
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});
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test("handleEmbedding rejects invalid model strings without provider prefix", async () => {
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const result = await handleEmbedding({
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body: { model: "not-a-known-embedding-model", input: "hello" },
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credentials: { apiKey: "x" },
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log: null,
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});
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assert.equal(result.success, false);
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assert.equal(result.status, 400);
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assert.match(result.error, /Invalid embedding model/);
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});
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test("handleEmbedding rejects unknown providers", async () => {
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const result = await handleEmbedding({
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body: { model: "mystery/model-1", input: "hello" },
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credentials: { apiKey: "x" },
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log: null,
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});
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assert.equal(result.success, false);
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assert.equal(result.status, 400);
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assert.match(result.error, /Unknown embedding provider: mystery/);
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});
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test("handleEmbedding requires credentials for authenticated providers", async () => {
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const result = await handleEmbedding({
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body: { model: "openai/text-embedding-3-small", input: "hello" },
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credentials: null,
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log: null,
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});
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assert.equal(result.success, false);
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assert.equal(result.status, 401);
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assert.match(result.error, /No valid authentication token/);
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});
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test("handleEmbedding surfaces upstream failures", async () => {
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const originalFetch = globalThis.fetch;
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globalThis.fetch = async () =>
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new Response("provider unavailable", {
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status: 503,
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headers: { "content-type": "text/plain" },
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});
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try {
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const result = await handleEmbedding({
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body: { model: "mistral/mistral-embed", input: "hello" },
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credentials: { apiKey: "mistral-key" },
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log: null,
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});
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assert.equal(result.success, false);
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assert.equal(result.status, 503);
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assert.equal(result.error, "provider unavailable");
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} finally {
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globalThis.fetch = originalFetch;
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}
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});
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