mirror of https://github.com/openclaw/openclaw.git
143 lines
4.5 KiB
TypeScript
143 lines
4.5 KiB
TypeScript
import type { BedrockClient } from "@aws-sdk/client-bedrock";
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import { beforeEach, describe, expect, it, vi } from "vitest";
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const sendMock = vi.fn();
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const clientFactory = () => ({ send: sendMock }) as unknown as BedrockClient;
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const baseActiveAnthropicSummary = {
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modelId: "anthropic.claude-3-7-sonnet-20250219-v1:0",
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modelName: "Claude 3.7 Sonnet",
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providerName: "anthropic",
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inputModalities: ["TEXT"],
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outputModalities: ["TEXT"],
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responseStreamingSupported: true,
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modelLifecycle: { status: "ACTIVE" },
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};
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async function loadDiscovery() {
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const mod = await import("./bedrock-discovery.js");
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mod.resetBedrockDiscoveryCacheForTest();
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return mod;
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}
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function mockSingleActiveSummary(overrides: Partial<typeof baseActiveAnthropicSummary> = {}): void {
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sendMock.mockResolvedValueOnce({
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modelSummaries: [{ ...baseActiveAnthropicSummary, ...overrides }],
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});
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}
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describe("bedrock discovery", () => {
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beforeEach(() => {
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sendMock.mockReset();
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});
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it("filters to active streaming text models and maps modalities", async () => {
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const { discoverBedrockModels } = await loadDiscovery();
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sendMock.mockResolvedValueOnce({
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modelSummaries: [
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{
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modelId: "anthropic.claude-3-7-sonnet-20250219-v1:0",
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modelName: "Claude 3.7 Sonnet",
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providerName: "anthropic",
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inputModalities: ["TEXT", "IMAGE"],
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outputModalities: ["TEXT"],
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responseStreamingSupported: true,
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modelLifecycle: { status: "ACTIVE" },
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},
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{
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modelId: "anthropic.claude-3-haiku-20240307-v1:0",
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modelName: "Claude 3 Haiku",
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providerName: "anthropic",
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inputModalities: ["TEXT"],
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outputModalities: ["TEXT"],
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responseStreamingSupported: false,
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modelLifecycle: { status: "ACTIVE" },
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},
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{
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modelId: "meta.llama3-8b-instruct-v1:0",
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modelName: "Llama 3 8B",
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providerName: "meta",
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inputModalities: ["TEXT"],
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outputModalities: ["TEXT"],
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responseStreamingSupported: true,
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modelLifecycle: { status: "INACTIVE" },
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},
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{
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modelId: "amazon.titan-embed-text-v1",
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modelName: "Titan Embed",
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providerName: "amazon",
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inputModalities: ["TEXT"],
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outputModalities: ["EMBEDDING"],
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responseStreamingSupported: true,
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modelLifecycle: { status: "ACTIVE" },
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},
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],
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});
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const models = await discoverBedrockModels({ region: "us-east-1", clientFactory });
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expect(models).toHaveLength(1);
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expect(models[0]).toMatchObject({
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id: "anthropic.claude-3-7-sonnet-20250219-v1:0",
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name: "Claude 3.7 Sonnet",
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reasoning: false,
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input: ["text", "image"],
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contextWindow: 32000,
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maxTokens: 4096,
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});
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});
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it("applies provider filter", async () => {
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const { discoverBedrockModels } = await loadDiscovery();
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mockSingleActiveSummary();
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const models = await discoverBedrockModels({
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region: "us-east-1",
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config: { providerFilter: ["amazon"] },
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clientFactory,
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});
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expect(models).toHaveLength(0);
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});
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it("uses configured defaults for context and max tokens", async () => {
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const { discoverBedrockModels } = await loadDiscovery();
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mockSingleActiveSummary();
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const models = await discoverBedrockModels({
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region: "us-east-1",
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config: { defaultContextWindow: 64000, defaultMaxTokens: 8192 },
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clientFactory,
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});
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expect(models[0]).toMatchObject({ contextWindow: 64000, maxTokens: 8192 });
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});
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it("caches results when refreshInterval is enabled", async () => {
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const { discoverBedrockModels } = await loadDiscovery();
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mockSingleActiveSummary();
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await discoverBedrockModels({ region: "us-east-1", clientFactory });
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await discoverBedrockModels({ region: "us-east-1", clientFactory });
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expect(sendMock).toHaveBeenCalledTimes(1);
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});
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it("skips cache when refreshInterval is 0", async () => {
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const { discoverBedrockModels } = await loadDiscovery();
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sendMock
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.mockResolvedValueOnce({ modelSummaries: [baseActiveAnthropicSummary] })
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.mockResolvedValueOnce({ modelSummaries: [baseActiveAnthropicSummary] });
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await discoverBedrockModels({
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region: "us-east-1",
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config: { refreshInterval: 0 },
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clientFactory,
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});
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await discoverBedrockModels({
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region: "us-east-1",
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config: { refreshInterval: 0 },
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clientFactory,
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});
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expect(sendMock).toHaveBeenCalledTimes(2);
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});
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});
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