ci: add manual pi-ai provider e2e
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146
packages/llm/llm-pi-ai/tests/provider-apis.e2e.ts
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146
packages/llm/llm-pi-ai/tests/provider-apis.e2e.ts
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import { afterEach, describe, expect, it } from 'vitest'
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import { Context } from 'cordis'
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import LlmService, { CallId } from '@deepseek-ai/dsh-llm'
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import type { Message, ToolSchema } from '@deepseek-ai/dsh-llm'
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import * as LlmPiAi from '@deepseek-ai/dsh-llm-pi-ai'
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import type { PiAiReplayState } from '@deepseek-ai/dsh-llm-pi-ai'
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import { assemble, type AssembledResult } from './assemble.ts'
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interface ProviderCase {
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provider: 'openai' | 'anthropic'
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api: 'openai-responses' | 'anthropic-messages'
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model: string
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apiKey?: string
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}
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const providerCases: ProviderCase[] = [
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{
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provider: 'openai',
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api: 'openai-responses',
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model: process.env.DSH_PI_AI_OPENAI_MODEL ?? 'gpt-5.5',
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...process.env.OPENAI_API_KEY ? { apiKey: process.env.OPENAI_API_KEY } : {},
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},
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{
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provider: 'anthropic',
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api: 'anthropic-messages',
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model: process.env.DSH_PI_AI_ANTHROPIC_MODEL ?? 'claude-opus-4-8',
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...process.env.ANTHROPIC_API_KEY ? { apiKey: process.env.ANTHROPIC_API_KEY } : {},
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},
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]
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const contexts: Context[] = []
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async function harness(): Promise<Context> {
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const ctx = new Context()
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contexts.push(ctx)
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await ctx.plugin(LlmService)
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await ctx.plugin(LlmPiAi, {
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providers: providerCases.map(profile => ({
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provider: profile.provider,
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...profile.apiKey === undefined ? {} : { apiKey: profile.apiKey },
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})),
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})
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return ctx
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}
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afterEach(async () => {
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await Promise.all(contexts.splice(0).map(ctx => ctx.fiber.dispose()))
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})
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function ask(text: string): Message[] {
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return [{ role: 'user', content: [{ type: 'text', text }] }]
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}
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function textOf(result: AssembledResult): string {
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return result.message.content
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.filter(block => block.type === 'text')
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.map(block => block.text)
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.join('')
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}
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function expectNativeReplay(result: AssembledResult, profile: ProviderCase): PiAiReplayState {
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const replayState = result.message.provenance?.replayState
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expect(replayState).toMatchObject({
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kind: 'pi-ai',
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version: 1,
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api: profile.api,
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provider: profile.provider,
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model: profile.model,
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})
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return replayState as PiAiReplayState
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}
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const lookupTool: ToolSchema = {
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name: 'lookup_code',
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description: 'Look up the word represented by a short code.',
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parameters: {
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type: 'object',
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properties: { code: { type: 'string', description: 'The code to look up.' } },
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required: ['code'],
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},
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}
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for (const profile of providerCases) {
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describe.skipIf(profile.apiKey === undefined)(
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`llm-pi-ai ${profile.provider} e2e (${profile.api})`,
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() => {
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it('streams text with usage and native replay metadata', async () => {
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const ctx = await harness()
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const result = await assemble(ctx, {
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provider: profile.provider,
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model: profile.model,
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messages: ask('Reply with exactly the word: pong'),
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maxTokens: 64,
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})
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expect(result.finish.kind).toBe('stop')
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expect(textOf(result).toLowerCase()).toContain('pong')
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expect(result.usage?.inputTokens).toBeGreaterThan(0)
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expect(result.usage?.outputTokens).toBeGreaterThan(0)
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expect(expectNativeReplay(result, profile).stopReason).toBe('stop')
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})
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it('round-trips a tool call with provider-native replay metadata', async () => {
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const ctx = await harness()
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const prompt = ask('Use lookup_code with code "blue". Do not answer without calling the tool.')
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const first = await assemble(ctx, {
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provider: profile.provider,
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model: profile.model,
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messages: prompt,
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tools: [lookupTool],
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maxTokens: 256,
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})
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expect(first.finish.kind).toBe('tool-calls')
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const call = first.message.content.find(block => block.type === 'tool-call')
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expect(call).toBeDefined()
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expect(call!.name).toBe('lookup_code')
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expect(JSON.parse(call!.arguments)).toMatchObject({ code: 'blue' })
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expect(expectNativeReplay(first, profile).stopReason).toBe('toolUse')
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const second = await assemble(ctx, {
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provider: profile.provider,
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model: profile.model,
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messages: [
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...prompt,
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first.message,
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{
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role: 'user',
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content: [{
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type: 'tool-result',
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toolCallId: CallId(call!.id),
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content: [{ type: 'text', text: 'The code blue means ocean.' }],
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}],
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},
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],
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tools: [lookupTool],
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maxTokens: 256,
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})
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expect(second.finish.kind).toBe('stop')
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expect(textOf(second).toLowerCase()).toContain('ocean')
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expect(expectNativeReplay(second, profile).stopReason).toBe('stop')
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})
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},
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)
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}
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