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https://github.com/openclaw/openclaw.git
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* fix(deepinfra): load all DeepInfra models when user wants to browse them during onboarding * docs(deepinfra): align TTS default * fix(deepinfra): refresh video fallbacks * fix(deepinfra): share credential-aware catalog discovery * test(deepinfra): narrow catalog regression types * test(deepinfra): keep catalog narrowing across callback * fix(deepinfra): preserve default model in live catalog * fix(deepinfra): align default model pricing * fix(deepinfra): keep pixverse as video default * docs(deepinfra): match video fallback default * fix(deepinfra): honor config api keys for live catalog * test(e2e): wait for watchdog stdio close * test(media): align live harness provider expectation * fix(deepinfra): always augment custom catalogs * test(e2e): resolve watchdog commands before spawning --------- Co-authored-by: Peter Steinberger <steipete@gmail.com>
121 lines
3.4 KiB
TypeScript
121 lines
3.4 KiB
TypeScript
import type { StreamFn } from "@earendil-works/pi-agent-core";
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import type { Context, Model } from "@earendil-works/pi-ai";
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import { describe, expect, it } from "vitest";
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import { createDeepInfraAnthropicCacheWrapper } from "./cache-wrapper.js";
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function capturePayload(params: {
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modelId: string;
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initialPayload: Record<string, unknown>;
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}): { captured: Record<string, unknown>; baseCalls: number } {
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let captured: Record<string, unknown> = {};
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let baseCalls = 0;
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const baseStreamFn: StreamFn = (_model, _context, options) => {
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baseCalls += 1;
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const payload = structuredClone(params.initialPayload);
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options?.onPayload?.(payload, _model);
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captured = payload;
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return {} as ReturnType<StreamFn>;
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};
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const wrapped = createDeepInfraAnthropicCacheWrapper(baseStreamFn);
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void wrapped(
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{
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api: "openai-completions",
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provider: "deepinfra",
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id: params.modelId,
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reasoning: false,
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} as Model<"openai-completions">,
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{ messages: [] } as Context,
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{} as never,
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);
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return { captured, baseCalls };
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}
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describe("createDeepInfraAnthropicCacheWrapper", () => {
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it("injects ephemeral cache_control markers on the system message for anthropic/* models", () => {
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const { captured, baseCalls } = capturePayload({
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modelId: "anthropic/claude-sonnet-4-6",
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initialPayload: {
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messages: [
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{ role: "system", content: "You are a helpful assistant." },
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{ role: "user", content: "Hi" },
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],
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},
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});
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expect(baseCalls).toBe(1);
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expect(captured.messages).toEqual([
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{
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role: "system",
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content: [
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{
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type: "text",
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text: "You are a helpful assistant.",
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cache_control: { type: "ephemeral" },
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},
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],
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},
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{ role: "user", content: "Hi" },
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]);
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});
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it("tags the last block of an array-shaped system message", () => {
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const { captured } = capturePayload({
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modelId: "anthropic/claude-haiku-4-5",
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initialPayload: {
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messages: [
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{
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role: "system",
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content: [
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{ type: "text", text: "Block one" },
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{ type: "text", text: "Block two" },
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],
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},
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{ role: "user", content: "Hi" },
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],
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},
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});
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const messages = captured.messages as Array<{ role: string; content: unknown }>;
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expect(messages[0]?.content).toEqual([
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{ type: "text", text: "Block one" },
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{
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type: "text",
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text: "Block two",
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cache_control: { type: "ephemeral" },
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},
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]);
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});
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it("matches the anthropic/ prefix case-insensitively", () => {
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const { captured } = capturePayload({
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modelId: "Anthropic/Claude-Sonnet-4-6",
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initialPayload: {
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messages: [{ role: "system", content: "sys" }],
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},
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});
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const messages = captured.messages as Array<{ content: unknown }>;
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expect(messages[0]?.content).toEqual([
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{ type: "text", text: "sys", cache_control: { type: "ephemeral" } },
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]);
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});
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it("does not mutate payloads for non-anthropic model ids", () => {
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const initialPayload = {
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messages: [
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{ role: "system", content: "sys" },
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{ role: "user", content: "Hi" },
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],
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};
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const { captured, baseCalls } = capturePayload({
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modelId: "deepseek-ai/DeepSeek-V4-Flash",
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initialPayload,
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});
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expect(baseCalls).toBe(1);
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expect(captured).toEqual(initialPayload);
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});
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});
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