Merge latest origin/master into compact-post-step-overflow-recovery

# Conflicts:
#	docs/agent-lifecycle.md
#	docs/architecture.md
#	docs/cookbook/extension-cookbook.i18n.yaml
#	docs/cordis-catalog/events.md
#	docs/cordis-catalog/services.md
#	docs/event-producer-consumer.md
#	docs/rfc/INDEX.md
#	docs/rfc/implemented/architecture/2026-07-05-reconstructable-requests.md
#	docs/rfc/implemented/architecture/2026-07-15-replay-token-meter-service.i18n.yaml
#	docs/rfc/implemented/architecture/2026-07-15-replay-token-meter-service.md
#	docs/rfc/implemented/architecture/2026-07-15-replay-token-meter-service.zh.md
#	docs/rfc/implemented/feature/2026-06-18-compaction-capability-seam.md
#	docs/rfc/implemented/feature/2026-07-07-session-prefix.md
#	packages/compact/compact-basic/README.md
#	packages/compact/compact-basic/src/config.ts
#	packages/compact/compact-basic/src/index.ts
#	packages/compact/compact-basic/src/summarizer.ts
#	packages/compact/compact-basic/tests/compact-basic.spec.ts
#	packages/compact/compact-basic/tests/compact-loop-repro.spec.ts
#	packages/compact/compact/README.md
#	packages/cordis/tool-cordis/src/api-catalog.ts
#	packages/core/agent-loop/src/loop.ts
#	packages/core/agent-loop/tests/cancel.spec.ts
#	packages/llm/llm-deepseek/src/adapter.ts
#	packages/llm/llm-pi-ai/README.md
#	packages/llm/llm-pi-ai/src/stream.ts
#	packages/llm/llm-pi-ai/tests/convert.spec.ts
#	packages/llm/llm/README.md
#	packages/llm/llm/src/index.ts
#	packages/llm/llm/tests/service.spec.ts
#	scripts/gen-doc-graphs.ts
This commit is contained in:
Tianyi Cui
2026-07-19 12:06:23 +08:00
814 changed files with 42348 additions and 10067 deletions

View File

@@ -6,7 +6,8 @@
*/
import type { Context } from 'cordis'
import type { FinishReason, GenerateOptions, LlmCallConfig, Message, TokenUsage } from '@deepseek-ai/dsh-llm'
import type { ContentBlock, FinishReason, GenerateOptions, LlmCallConfig, Message } from '@deepseek-ai/dsh-llm'
import { isDeepStrictEqual } from 'node:util'
import { BlockAssembler, HarnessError, deepFreeze, isLlmAdapterFailure } from '@deepseek-ai/dsh-llm'
import { agentEvents, assembleContextFor } from '@deepseek-ai/dsh-agent'
import type { AgentEventDispatch, ContinuationDecision, HookContext, PromptDecision, RequestError, RequestErrorDecision } from '@deepseek-ai/dsh-agent'
@@ -16,7 +17,8 @@ import { createTransmissionLog, recordRequestHeader } from './request-log.ts'
import type { TransmissionLog } from './request-log.ts'
import { renderPrompt } from '@deepseek-ai/dsh-system-prompt'
import type { PromptAssembly } from '@deepseek-ai/dsh-system-prompt'
import type { ToolExecutionResult } from '@deepseek-ai/dsh-tools'
import type {} from '@deepseek-ai/dsh-tools'
import { executeToolCalls } from './tool-calls.ts'
import type { ReactLoopAgent } from './agent.ts'
import type { Inbox } from './inbox.ts'
@@ -60,15 +62,6 @@ function errorData(err: RequestError): { message: string; code?: string } {
return { message: err.message, ...typeof err.code === 'string' ? { code: err.code } : {} }
}
/** Build the durable result for a model-requested call skipped after cancellation. */
function skippedToolResult(): ToolExecutionResult {
return {
content: [{ type: 'text', text: 'Error: tool call skipped because the step was aborted before execution' }],
isError: true,
error: { name: 'AbortError', code: 'ABORTED' },
}
}
/** Map a successful max-token finish onto the turn reason; other successful finishes add nothing. */
function stepFinishReason(finish: FinishReason): TurnEndReason | undefined {
switch (finish.kind) {
@@ -86,6 +79,8 @@ function stepFinishReason(finish: FinishReason): TurnEndReason | undefined {
export interface LoopHandle {
/** Native-private agent inbox handed to the driver only at internal startup. */
readonly inbox: Inbox
/** Maximum parallel-safe calls allowed in one step. */
readonly maxParallelToolCalls: number
setStatus(status: 'idle' | 'running'): void
setAbort(controller: AbortController | undefined): void
/** Resolves when the agent is disposed — unblocks the idle wait. */
@@ -99,6 +94,8 @@ export interface LoopHandle {
clearCancel(): void
/** Settle idle waiters when pre-running cancellation skips a turn, without emitting `agent/status`. */
settleIdle(): void
/** Run an active tool-call batch, accepting post-tool context into the FIFO drained before settlement. */
readonly withToolBatch: <T>(run: (acceptContext: (context: HookContext) => void) => Promise<T>) => Promise<T>
}
/**
@@ -249,10 +246,15 @@ async function runTurn(
// `allow.content` REPLACES the prompt bytes (a rewrite); absent keeps them.
const content = decision.content ?? message.content
session.append('user/message', { content, source: message.source }, { surfaceOp: 'append' })
// `allow.additionalContext` is a SEPARATE context/message the next request
// also sees. The turn is open, so inject() appends it into THIS turn.
if (decision.additionalContext) {
agent.inject(decision.additionalContext.content, { source: decision.additionalContext.source })
// Every `allow.additionalContexts` entry is a separate context/message the
// next request also sees. The turn is open, so inject() appends each one
// into THIS turn without flattening provenance, framing, or metadata.
for (const context of decision.additionalContexts ?? []) {
agent.inject(context.content, {
source: context.source,
...context.envelope !== undefined ? { envelope: context.envelope } : {},
...context.meta !== undefined ? { meta: context.meta } : {},
})
}
}
@@ -343,7 +345,7 @@ async function runTurn(
| { error: RequestError }
try {
stepOutcome = await runStep(
ctx, events, agent, turn, step, assembly, fullSystemPrompt, boundaryMessages, transmission, abort.signal)
ctx, events, agent, handle, turn, step, assembly, fullSystemPrompt, boundaryMessages, transmission, abort.signal)
} catch (error: unknown) {
if (isLlmAdapterFailure(error)) {
stepOutcome = { requestError: error }
@@ -563,6 +565,7 @@ async function runStep(
ctx: Context,
events: AgentEventDispatch,
agent: ReactLoopAgent,
handle: LoopHandle,
turn: number,
step: number,
assembly: PromptAssembly,
@@ -578,12 +581,12 @@ async function runStep(
const seedConfig: LlmCallConfig = deepFreeze(structuredClone(transmission.loggedHeader
// eslint-disable-next-line @typescript-eslint/no-non-null-assertion -- loggedHeader ⟹ a snapshot is in the log
? session.requestHeader()!.config
: { model: options.model ?? '' }))
: { provider: options.provider ?? '', model: options.model ?? '' }))
// Listener replacements are recorded in the request header before dispatch.
const config = await events.waterfall('agent/request', turn, step, seedConfig, () => Promise.resolve(seedConfig))
if (!config.model) {
throw new Error(`agent "${agent.id}" has no model: set AgentOptions.model or supply one via the agent/request waterfall`)
if (!config.provider || !config.model) {
throw new Error(`agent "${agent.id}" has no provider/model: set AgentOptions.provider and AgentOptions.model or supply both via the agent/request waterfall`)
}
// eslint-disable-next-line @typescript-eslint/no-non-null-assertion -- runTurn composes the prefix before every runStep call
@@ -600,6 +603,7 @@ async function runStep(
// Freeze the logged header plus boundary snapshot; the prefix precedes derived history.
const request: GenerateOptions = deepFreeze({
provider: header.config.provider,
model: header.config.model,
messages: [...header.messagePrefix ?? [], ...boundaryMessages],
...header.system !== undefined ? { system: header.system } : {},
@@ -627,95 +631,38 @@ async function runStep(
if (stepError) throw new TerminalModelRequestFailure(stepError)
if (assembler.finish.kind === 'max-tokens') {
let message: Message = withoutToolCalls(assembler.message())
const assembled = assembler.message()
const assembledContent = structuredClone(assembled.content)
let message: Message = withoutToolCalls(assembled)
message = withoutToolCalls(await processStepResult(
events, session, turn, step, message, assembler.usage, chunkSeqs,
events, session, turn, step, header.config, assembledContent, message, assembler, chunkSeqs,
))
appendAssistantCompletion(
session, turn, step, message.content, assembler.usage, chunkSeqs,
)
// Preserve usage even when max-token truncation produced no content.
recordAssistantMessage(session, turn, step, header.config, assembledContent, message, assembler, chunkSeqs)
return { hadToolCalls: false, finish: assembler.finish }
}
// Record the post-waterfall message that tool dispatch uses.
let message: Message = assembler.message()
const assembled = assembler.message()
const assembledContent = structuredClone(assembled.content)
let message: Message = assembled
message = await processStepResult(
events, session, turn, step, message, assembler.usage, chunkSeqs,
events, session, turn, step, header.config, assembledContent, message, assembler, chunkSeqs,
)
// Every successful call records its completion anchor. A present empty
// source set means the provider stream was known to contain no chunks;
// omission remains the conservative legacy/unrecorded representation.
appendAssistantCompletion(
session, turn, step, message.content, assembler.usage, chunkSeqs,
)
// Every successful call records its completion anchor, including explicit
// empty chunk provenance for a contentless, usage-less provider response.
recordAssistantMessage(session, turn, step, header.config, assembledContent, message, assembler, chunkSeqs)
// Tool execution stays sequential; cancellation latches synthetic results for
// every remaining call while preserving one complete result batch.
// Dispatch may overlap; policy, durable results, and result context stay model-ordered.
const toolCalls = message.content.filter(block => block.type === 'tool-call')
// Buffer context until all results are appended to preserve call/result adjacency.
const pendingContext: HookContext[] = []
let aborted = signal.aborted
for (const call of toolCalls) {
const callEvent = session.append('tool/call', { turn, step, callId: call.id, name: call.name, arguments: call.arguments })
let result: ToolExecutionResult
if (aborted || signal.aborted) {
aborted = true
result = skippedToolResult()
} else {
let parsedArguments: unknown
try {
parsedArguments = call.arguments ? JSON.parse(call.arguments) : {}
} catch {
parsedArguments = call.arguments
}
// TODO(pre-tool-input-rewrite): Keep logged history and live presentation aligned;
// see docs/rfc/proposed/feature/2026-06-30-pre-tool-input-rewrite.md.
result = await ctx.tools.execute({
callId: call.id,
name: call.name,
arguments: parsedArguments,
agent,
signal,
})
}
session.append('tool/result', {
turn, step,
// Correlation comes from the immutable execution input; the result does
// not duplicate this authoritative transcript identity.
callId: call.id,
content: result.content,
isError: result.isError,
...result.error ? { error: result.error } : {},
// Persist tool-owned presentation data for replay.
...result.meta !== undefined ? { meta: result.meta } : {},
}, { surfaceOp: 'append', sourceEventSeqs: [callEvent.seq] })
if (result.additionalContext) pendingContext.push(result.additionalContext)
if (signal.aborted) aborted = true
}
// Append buffered context after the complete result batch.
for (const context of pendingContext) {
agent.inject(context.content, { source: context.source })
}
return { hadToolCalls: toolCalls.length > 0, finish: assembler.finish }
}
/** Append the single durable completion anchor for one successful provider call. */
function appendAssistantCompletion(
session: Session,
turn: number,
step: number,
content: Message['content'],
usage: TokenUsage | undefined,
sourceEventSeqs: number[],
): void {
session.append(
'assistant/message',
{ turn, step, content, ...(usage ? { usage } : {}) },
{ surfaceOp: 'append', sourceEventSeqs },
)
if (toolCalls.length === 0) return { hadToolCalls: false, finish: assembler.finish }
return handle.withToolBatch(async (acceptContext) => {
await executeToolCalls(
ctx, agent, turn, step, toolCalls, signal, handle.maxParallelToolCalls, acceptContext,
)
return { hadToolCalls: true, finish: assembler.finish }
})
}
/** Preserve successful-call accounting without retaining output that result processing rejected. */
@@ -724,20 +671,70 @@ async function processStepResult(
session: Session,
turn: number,
step: number,
config: LlmCallConfig,
assembledContent: ContentBlock[],
message: Message,
usage: TokenUsage | undefined,
sourceEventSeqs: number[],
assembler: BlockAssembler,
chunkSeqs: number[],
): Promise<Message> {
try {
return await events.waterfall(
'agent/step-result', turn, step, message, () => Promise.resolve(message),
)
} catch (error: unknown) {
appendAssistantCompletion(session, turn, step, [], usage, sourceEventSeqs)
recordAssistantMessage(
session,
turn,
step,
config,
assembledContent,
{ ...message, content: [] },
assembler,
chunkSeqs,
false,
)
throw error
}
}
/** Record one content-or-usage assistant message with replay-safe provenance. */
function recordAssistantMessage(
session: Session,
turn: number,
step: number,
config: LlmCallConfig,
assembledContent: ContentBlock[],
message: Message,
assembler: BlockAssembler,
chunkSeqs: number[],
preserveReplayState = true,
): void {
session.append(
'assistant/message',
{
turn,
step,
content: message.content,
provenance: assistantProvenance(
config,
assembler.replayState,
preserveReplayState && isDeepStrictEqual(message.content, assembledContent),
),
...assembler.usage === undefined ? {} : { usage: assembler.usage },
},
{ surfaceOp: 'append', sourceEventSeqs: chunkSeqs },
)
}
/** Build durable assistant provenance, dropping replay state after any content rewrite. */
function assistantProvenance(config: LlmCallConfig, replayState: unknown, contentUnchanged: boolean): NonNullable<Message['provenance']> {
return {
provider: config.provider,
model: config.model,
...contentUnchanged && replayState !== undefined ? { replayState } : {},
}
}
function withoutToolCalls(message: Message): Message {
return { ...message, content: message.content.filter(block => block.type !== 'tool-call') }
}