fix: harden replay and pi-ai request boundaries
This commit is contained in:
@@ -6,7 +6,7 @@
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*/
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import type { Context } from 'cordis'
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import type { FinishReason, GenerateOptions, LlmCallConfig, Message } from '@deepseek-ai/dsh-llm'
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import type { ContentBlock, FinishReason, GenerateOptions, LlmCallConfig, Message } from '@deepseek-ai/dsh-llm'
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import { isDeepStrictEqual } from 'node:util'
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import { BlockAssembler, HarnessError, deepFreeze } from '@deepseek-ai/dsh-llm'
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import { agentEvents, assembleContextFor } from '@deepseek-ai/dsh-agent'
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@@ -529,20 +529,22 @@ async function runStep(
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if (assembler.finish.kind === 'max-tokens') {
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const assembled = assembler.message()
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const assembledContent = structuredClone(assembled.content)
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let message: Message = withoutToolCalls(assembled)
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message = withoutToolCalls(await events.waterfall('agent/step-result', turn, step, message, () => Promise.resolve(message)))
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// Preserve usage even when max-token truncation produced no content.
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recordAssistantMessage(session, turn, step, header.config, assembled, message, assembler, chunkSeqs)
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recordAssistantMessage(session, turn, step, header.config, assembledContent, message, assembler, chunkSeqs)
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return { hadToolCalls: false, finish: assembler.finish }
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}
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// Record the post-waterfall message that tool dispatch uses.
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const assembled = assembler.message()
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const assembledContent = structuredClone(assembled.content)
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let message: Message = assembled
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message = await events.waterfall('agent/step-result', turn, step, message, () => Promise.resolve(message))
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// Empty messages exist only to carry usage; the helper also omits empty chunk provenance.
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recordAssistantMessage(session, turn, step, header.config, assembled, message, assembler, chunkSeqs)
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recordAssistantMessage(session, turn, step, header.config, assembledContent, message, assembler, chunkSeqs)
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// Tool execution stays sequential; recheck abort around each normalized result.
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const toolCalls = message.content.filter(block => block.type === 'tool-call')
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@@ -600,7 +602,7 @@ function recordAssistantMessage(
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turn: number,
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step: number,
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config: LlmCallConfig,
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assembled: Message,
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assembledContent: ContentBlock[],
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message: Message,
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assembler: BlockAssembler,
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chunkSeqs: number[],
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@@ -615,7 +617,7 @@ function recordAssistantMessage(
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provenance: assistantProvenance(
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config,
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assembler.replayState,
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isDeepStrictEqual(message.content, assembled.content),
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isDeepStrictEqual(message.content, assembledContent),
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),
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...assembler.usage === undefined ? {} : { usage: assembler.usage },
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},
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@@ -110,6 +110,26 @@ describe('session log records what agent/step-result actually produced', () => {
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provider: 'mock', model: 'next-model', replayState,
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})
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})
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it('drops adapter replay state when step-result mutates assembled content in place', async () => {
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const response = textResponse('original')
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response[response.length - 1] = { type: 'finish', reason: { kind: 'stop' }, replayState: { private: 'state' } }
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const adapter = new MockAdapter([response])
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const ctx = await harness(adapter)
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ctx.on('agent/step-result', async (_agent, _turn, _step, message) => {
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const block = message.content[0]
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if (block?.type === 'text') block.text = 'mutated'
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return message
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})
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const agent = ctx.agentLoop.create(AgentId('mutated-replay-state'), { provider: 'mock', model: 'next-model' })
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send(agent, 'go')
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await waitForIdle(ctx, agent)
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const recorded = agent.session.events.find(event => event.type === 'assistant/message')
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expect(recorded?.type === 'assistant/message' && recorded.data.content).toEqual([{ type: 'text', text: 'mutated' }])
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expect(recorded?.type === 'assistant/message' && recorded.data.provenance.replayState).toBeUndefined()
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})
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})
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describe('abort during tool execution ends the turn', () => {
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@@ -53,6 +53,16 @@ function profileOptions(profile: PiAiProviderProfile): SimpleStreamOptions {
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}
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}
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/** Merge deployment headers while removing case-insensitive attribution collisions. */
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function requestHeaders(headers: Readonly<Record<string, string>> | undefined): Record<string, string> {
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const attribution = attributionHeaders()
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const reserved = new Set(Object.keys(attribution).map(name => name.toLowerCase()))
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return {
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...Object.fromEntries(Object.entries(headers ?? {}).filter(([name]) => !reserved.has(name.toLowerCase()))),
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...attribution,
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}
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}
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/**
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* pi-ai-backed multi-provider adapter. Model descriptors are resolved for each
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* request, so models need not be registered during the Cordis lifecycle.
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@@ -103,7 +113,7 @@ export class PiAiAdapter extends LlmAdapter {
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signal: controller.signal,
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// Profile headers are deployment-owned; attribution names are
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// Harness-owned and therefore win collisions.
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headers: { ...profile.headers, ...attributionHeaders() },
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headers: requestHeaders(profile.headers),
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})
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yield* toStreamChunks(events)
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} finally {
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@@ -58,10 +58,10 @@ const profile = z.object({
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thinkingBudgets,
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cacheRetention: z.union(['none', 'short', 'long']),
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transport: z.union(['sse', 'websocket', 'websocket-cached', 'auto']),
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timeoutMs: z.number(),
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websocketConnectTimeoutMs: z.number(),
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maxRetries: z.number(),
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maxRetryDelayMs: z.number(),
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timeoutMs: z.natural(),
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websocketConnectTimeoutMs: z.natural(),
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maxRetries: z.natural(),
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maxRetryDelayMs: z.natural(),
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})
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/** Runtime schema for {@link Config}. */
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@@ -83,7 +83,7 @@ export function resolveProfiles(profiles: readonly PiAiProviderProfile[]): PiAiP
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if (source.provider.length === 0) throw new Error('llm-pi-ai: provider names must be non-empty')
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if (!supported.has(source.provider)) throw new Error(`llm-pi-ai: unknown pi-ai provider "${source.provider}"`)
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if (seen.has(source.provider)) throw new Error(`llm-pi-ai: duplicate provider profile "${source.provider}"`)
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if (source.apiKey !== undefined && source.apiKey.length === 0) {
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if (source.apiKey !== undefined && source.apiKey.trim().length === 0) {
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throw new Error(`llm-pi-ai: provider "${source.provider}" has an empty apiKey; omit it to use ambient authentication`)
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}
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if (source.baseURL !== undefined && source.baseURL.length === 0) {
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@@ -90,7 +90,7 @@ describe('PiAiAdapter provider routing', () => {
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it('merges profile headers with Harness attribution winning', async () => {
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const server = await mockServer([{ events: textEvents }])
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const ctx = await harness(server.url, {
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headers: { 'x-company': 'private', 'user-agent': 'wrong' },
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headers: { 'x-company': 'private', 'User-Agent': 'wrong' },
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})
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await assemble(ctx, { model: 'deepseek-v4-flash', messages: [] })
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expect(server.headers[0]?.['x-company']).toBe('private')
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@@ -219,9 +219,23 @@ describe('provider profile lifecycle', () => {
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expect(() => resolveProfiles([{ provider: 'not-real' }])).toThrow(/unknown/)
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expect(() => resolveProfiles([{ provider: 'openai' }, { provider: 'openai' }])).toThrow(/duplicate/)
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expect(() => resolveProfiles([{ provider: 'openai', apiKey: '' }])).toThrow(/empty apiKey/)
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expect(() => resolveProfiles([{ provider: 'openai', apiKey: ' ' }])).toThrow(/empty apiKey/)
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expect(() => resolveProfiles([{ provider: 'openai', baseURL: '' }])).toThrow(/empty baseURL/)
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})
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it('rejects negative or fractional stream tunables at schema validation', () => {
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const invalid = [
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{ timeoutMs: -1 },
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{ websocketConnectTimeoutMs: -1 },
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{ maxRetries: -1 },
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{ maxRetries: 0.5 },
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{ maxRetryDelayMs: -1 },
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]
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for (const entry of invalid) {
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expect(() => new LlmPiAi.Config({ providers: [{ provider: 'openai', ...entry }] })).toThrow()
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}
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})
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it('constructs the adapter directly and rejects routes it does not own', async () => {
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const adapter = new PiAiAdapter({ profiles: [{ provider: 'openai' }] })
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await expect(adapter.listModels('anthropic')).rejects.toMatchObject({ code: 'NO_ADAPTER' })
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