Merge remote-tracking branch 'origin/master' into worktree-rename-react-loop-agent

This commit is contained in:
Tianyi Cui
2026-06-19 10:35:28 +08:00
57 changed files with 2599 additions and 74 deletions

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@@ -30,6 +30,10 @@ Add to your Zed `settings.json` under `agent_servers`:
The editor sets each session's `cwd` to the project it opens; the agent's bash tools run there (see the per-session `cwd` note in `packages/acp`), so launch the server from the harness repo with `pnpm --dir …` and let ACP carry the workspace path per session.
## Snapshot tests (record-once / replay-deterministic)
This example is the home of the harness's **snapshot tests** — they boot this server as a real subprocess, drive it with a deterministic input script, and diff its normalized output against committed golden files. The model is made deterministic by `src/llm-replay.ts`, a function/namespace plugin that installs an `llm/stream` waterfall listener and short-circuits it, serving model streams reconstructed from a recorded **session JSONL** fixture (`<scenario>/session.jsonl`) — so replay needs no API key. The fixture IS the persisted session log: its `assistant/chunk` events carry every `StreamChunk`, so grouping them by `(turn, step)` reconstructs each `stream()` call (one model call per loop step). Recording is therefore "run the real agent once and harvest the `.jsonl`". The two failure modes not expressible as logged chunks — a pure throw before any chunk, and cancel/hang — use an optional `<scenario>/replay.override.json` sidecar (a `ReplayEntry[]` that replaces the derived script). A scenario that needs the agent to operate on existing files ships an optional `<scenario>/workspace/` directory — the harness copies its contents into the temp cwd before the run (see `workspace-edit`). See [docs/rfc/implemented/2026-06-19-acp-snapshot-tests.md](../../docs/rfc/implemented/2026-06-19-acp-snapshot-tests.md) for the full design.
## MVP limitations
The bridge supports N concurrent sessions per connection, each in its own workspace `cwd` (RFC 011). Remaining limits: prompts support ACP's baseline `text` and `resource_link` blocks only, `additionalDirectories` and `mcpServers` are rejected, and the tool-permission gate is deferred (`TODO(rfc010-permission-gate)` — tools run with the executor's full authority). See `packages/acp/README.md` for the full contract.

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@@ -0,0 +1,33 @@
# The acp-agent "tail" shared by every acp-agent config (the normal demo, the
# snapshot RECORD path which reuses cordis.yml, and the snapshot REPLAY config):
# agent-loop (no pre-created agents — ACP session/new creates them on demand),
# JSONL session persistence, and the ACP bridge with its system prompt. The
# providerless core + an LLM adapter are included BEFORE this tail by each
# config; nothing here loads an adapter, so the tail is provider-agnostic.
#
# Persistence root: $DSH_SNAPSHOT_SESSIONS_ROOT when the snapshot harness sets
# it (so it can harvest / isolate the log), else ./.sessions for the demo.
- id: agent-loop
name: '@deepseek-ai/dsh-agent-loop'
config:
agents: []
- id: session-persistence
name: '@deepseek-ai/dsh-session-persistence-jsonl'
config:
root: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
- id: acp
name: '@deepseek-ai/dsh-acp'
config:
model: deepseek-v4-flash
systemPrompt: |
You are a coding assistant driven over the Agent Client Protocol.
Your only tools are bash (plus bash_output/bash_kill for background
tasks). Do ALL file operations through bash: read with cat/sed/head,
search with grep, write with heredocs (cat <<'EOF' > file), edit with
sed or a rewrite. Each bash call runs in a fresh shell — pass workdir
instead of cd. Check the [exit code: N] marker; verify your work. Keep
answers brief and factual.

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@@ -0,0 +1,32 @@
# Snapshot-test REPLAY config: the acp-agent plugin tree with the model replaced
# by llm-replay (serves a recorded session JSONL — no API key, no network).
#
# It reuses ../base-core.yml (the providerless core) + ./acp-tail.yml (agent-
# loop + persistence + the ACP bridge), the SAME pieces cordis.yml shares — only
# the LLM adapter differs: llm-replay here, llm-deepseek there. It can't reuse
# ../base.yml because that loads llm-deepseek, whose apply() throws without
# DEEPSEEK_API_KEY, killing a keyless replay run at boot.
#
# stdout is reserved for the ACP JSON-RPC protocol — no stdout logger (see
# cordis.yml). The replay fixture path comes from $DSH_SNAPSHOT_FILE (and an
# optional $DSH_SNAPSHOT_OVERRIDE sidecar), set by the snapshot harness.
- id: timer
name: '@cordisjs/plugin-timer'
# Providerless core (everything base.yml has EXCEPT the llm-deepseek adapter).
- id: base-core
name: '@cordisjs/plugin-include'
config:
path: '../base-core.yml'
# The replay adapter: short-circuits llm/stream with the recorded log's chunks,
# in place of llm-deepseek.
- id: llm-replay
name: './src/llm-replay.ts'
# agent-loop + persistence + the ACP bridge — shared with cordis.yml.
- id: acp-tail
name: '@cordisjs/plugin-include'
config:
path: './acp-tail.yml'

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@@ -1,4 +1,6 @@
# The acp-agent plugin tree, loaded via @cordisjs/plugin-include.
# The acp-agent plugin tree, loaded via @cordisjs/plugin-include. Also the
# snapshot RECORD config (start.ts selects it for DSH_SNAPSHOT=record): a real
# llm-deepseek run whose persisted log the snapshot harness harvests.
#
# CRITICAL: this example loads NO stdout logger (no @cordisjs/plugin-logger-
# console, no stdio-chat). stdout is reserved for the ACP JSON-RPC protocol —
@@ -12,38 +14,17 @@
- id: timer
name: '@cordisjs/plugin-timer'
# Shared provider/tool core (llm, sessions, system-prompt, tools, agents,
# invariants, llm-deepseek, bash-local, tool-bash). Nested include resolved
# relative to THIS file's directory.
# Shared provider/tool core, INCLUDING the real llm-deepseek adapter. Nested
# include resolved relative to THIS file's directory.
- id: base
name: '@cordisjs/plugin-include'
config:
path: '../base.yml'
# agent-loop with NO pre-created agents: ACP `session/new` creates them on
# demand (unlike coding-agent, which pre-creates `main`).
- id: agent-loop
name: '@deepseek-ai/dsh-agent-loop'
# agent-loop (no pre-created agents) + JSONL persistence + the ACP bridge.
# Shared with the snapshot REPLAY config (cordis.snapshot.yml) so the three
# acp-agent configs don't drift.
- id: acp-tail
name: '@cordisjs/plugin-include'
config:
agents: []
# Durable session persistence — required by the ACP bridge for `session/load`.
- id: session-persistence
name: '@deepseek-ai/dsh-session-persistence-jsonl'
config:
root: './.sessions'
# The ACP bridge: wires AgentSideConnection to stdin/stdout.
- id: acp
name: '@deepseek-ai/dsh-acp'
config:
model: deepseek-v4-flash
systemPrompt: |
You are a coding assistant driven over the Agent Client Protocol.
Your only tools are bash (plus bash_output/bash_kill for background
tasks). Do ALL file operations through bash: read with cat/sed/head,
search with grep, write with heredocs (cat <<'EOF' > file), edit with
sed or a rewrite. Each bash call runs in a fresh shell — pass workdir
instead of cd. Check the [exit code: N] marker; verify your work. Keep
answers brief and factual.
path: './acp-tail.yml'

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@@ -0,0 +1,244 @@
/**
* Replay LLM plugin for snapshot tests.
*
* Installs a single `llm/stream` waterfall listener that short-circuits the
* waterfall (never calls `next()`) and yields model streams reconstructed from
* a recorded **session JSONL** fixture — so a snapshot test can boot the real
* agent against a fixed model transcript with no API key. See
* docs/rfc/implemented/2026-06-19-acp-snapshot-tests.md.
*
* The fixture IS the persisted session log (`<scenario>/session.jsonl`): its
* `assistant/chunk` events carry every {@link StreamChunk}, so grouping them by
* `(turn, step)` reconstructs each `stream()` call's chunk sequence (one model
* call per loop step — see packages/agent-loop/src/loop.ts). Recording is
* therefore "run the real agent once and harvest the `.jsonl`", done by the
* snapshot harness — this plugin does not record.
*
* Two failure modes are NOT reconstructable from `assistant/chunk` alone — a
* pure throw before any chunk (e.g. an HTTP 401: the log holds only a
* `turn/end {error}`, no chunks) and a cancel/hang (timing, not chunk content).
* A scenario that needs those supplies an optional sidecar
* (`<scenario>/replay.override.json`: a `ReplayEntry[]`) that REPLACES the
* derived script.
*
* It lives in the example (not packages/) because it is example/test
* infrastructure with one consumer, exactly like echo-agent's `mock-llm.ts`;
* the capability-seams rule says not to split into a published package
* preemptively.
*
* Plugin export shape: named `name`/`inject`/`Config`/`apply`, NO default
* export (the cordis Loader's `unwrapExports` does `exports.default ?? exports`,
* so a stray default would drop the namespace — see docs/postmortem/0001).
*/
import { existsSync, readFileSync } from 'node:fs'
import type { Context } from 'cordis'
import type { SessionEvent } from '@deepseek-ai/dsh-session'
import type { GenerateOptions, StreamChunk } from '@deepseek-ai/dsh-llm'
import { LlmError, assertNever } from '@deepseek-ai/dsh-llm'
/**
* One recorded model call. A discriminated union (not a bare `StreamChunk[]`)
* so it can faithfully replay BOTH branches of the documented LLM failure
* contract — an adapter may THROW from `stream()` or end with a `finish` error
* chunk — plus a `hang` marker for cancellation scenarios (mirrors the
* `MockAdapter` `hang` support in packages/agent-loop/tests).
*
* A `throw` entry carries any `chunks` the adapter emitted BEFORE it threw, so
* a mid-stream transport failure (partial output then `STREAM_CLOSED`) replays
* the partial chunks first and only then throws — exactly what the agent loop
* saw live (it may already have emitted partial assistant chunks).
*
* The normal/finish-terminated cases are DERIVED from the session JSONL
* ({@link deriveReplayScript}); only the throw and hang cases need a
* hand-authored sidecar entry (a thrown stream leaves no terminal `finish` in
* the log, so it cannot be derived as `chunks`).
*/
export type ReplayEntry =
| { kind: 'chunks'; chunks: StreamChunk[] }
| { kind: 'throw'; chunks: StreamChunk[]; message: string; code: string; status?: number }
| { kind: 'hang' }
/** Resolved plugin configuration. */
export interface ReplayConfig {
/** Path to the per-scenario `session.jsonl` fixture (the recorded log). */
file: string
/**
* Optional path to a `ReplayEntry[]` sidecar that REPLACES the derived
* script. Used by the two scenarios not expressible as `assistant/chunk`
* (pure throw-before-chunk, cancel/hang). Absent for normal scenarios.
*/
overrideFile?: string
}
/**
* Parse a session `.jsonl` buffer into its event list. Line 0 is the session
* header (a `{type:'session',…}` record), every subsequent non-empty line is a
* {@link SessionEvent}. The header is skipped; malformed lines fail loud.
*/
export function parseSessionLog(text: string): SessionEvent[] {
const lines = text.split('\n').filter(line => line.trim().length > 0)
const events: SessionEvent[] = []
// Skip line 0 (the header). A reader distinguishes it by its `type:'session'`
// tag; we simply drop the first line, which the JSONL backend guarantees is
// the header.
for (let i = 1; i < lines.length; i++) {
const parsed: unknown = JSON.parse(lines[i] as string)
events.push(parsed as SessionEvent)
}
return events
}
/**
* Reconstruct the per-`stream()` replay script from a recorded session log.
*
* The agent loop makes exactly one `ctx.llm.stream()` call per step and appends
* every chunk as an `assistant/chunk` event tagged with the current
* `(turn, step)`. Grouping those events by `(turn, step)` in log order
* therefore yields one `{kind:'chunks'}` entry per model call, in call order.
*
* A group is only valid if it ends in a `finish` chunk — the adapter contract
* guarantees a successful (or finish-error) stream terminates with `finish`,
* and the loop relies on it. A group WITHOUT a terminal `finish` is the
* fingerprint of a *thrown* `stream()` (the loop recorded the prefix chunks,
* then an `error`/`turn/end`, but no `finish`): such a stream cannot be
* faithfully replayed as `{kind:'chunks'}` (that would look like a clean stop),
* so deriving it is an error — the scenario must supply a `replay.override.json`
* sidecar with an explicit `throw` (or `hang`) entry instead. {@link
* deriveReplayScript} throws, naming the offending `(turn, step)`, so a missing
* override fails loud rather than silently replaying a thrown call as success.
*/
export function deriveReplayScript(events: SessionEvent[]): ReplayEntry[] {
const script: ReplayEntry[] = []
let currentKey: string | undefined
let current: StreamChunk[] = []
const close = (key: string | undefined, chunks: StreamChunk[]): void => {
if (chunks.length === 0) return
if (chunks[chunks.length - 1]?.type !== 'finish') {
throw new Error(
`llm-replay: model call ${key} ended without a finish chunk (a thrown stream); `
+ 'this scenario needs a replay.override.json sidecar',
)
}
script.push({ kind: 'chunks', chunks })
}
for (const event of events) {
if (event.type !== 'assistant/chunk') continue
const { turn, step, chunk } = event.data
const key = `${turn}/${step}`
if (key !== currentKey) {
// A new (turn, step) — i.e. a new stream() call. Close the previous one
// (skip the initial empty buffer before any chunk has been seen).
close(currentKey, current)
currentKey = key
current = []
}
current.push(chunk)
}
close(currentKey, current)
return script
}
/**
* Build the replay script for a scenario: the sidecar override if present,
* otherwise the script derived from the recorded session JSONL. Fail-loud if
* the JSONL fixture is missing (the scenario was never recorded) — never
* silently returns an empty script, so a coverage hole can't masquerade as a
* passing replay.
*/
export function loadReplayScript(config: ReplayConfig): ReplayEntry[] {
if (config.overrideFile !== undefined && existsSync(config.overrideFile)) {
const parsed: unknown = JSON.parse(readFileSync(config.overrideFile, 'utf8'))
if (!Array.isArray(parsed)) {
throw new Error(`llm-replay: override is not a JSON array: ${config.overrideFile}`)
}
return parsed as ReplayEntry[]
}
if (!existsSync(config.file)) {
throw new Error(`llm-replay: fixture not found: ${config.file} — run \`pnpm run test:snapshot:record\` first`)
}
return deriveReplayScript(parseSessionLog(readFileSync(config.file, 'utf8')))
}
/** Yield a recorded stream back, honoring abort like a real adapter. */
async function* replayEntry(entry: ReplayEntry, signal: AbortSignal | undefined): AsyncIterable<StreamChunk> {
switch (entry.kind) {
case 'chunks':
for (const chunk of entry.chunks) {
if (signal?.aborted) throw new Error('aborted')
yield chunk
}
return
case 'throw':
// Replay the THROW branch of the LLM contract: emit whatever the adapter
// streamed before it threw (so the loop sees the same partial output it
// saw live), then throw the recorded error (e.g. a provider 401, or a
// mid-stream STREAM_CLOSED after partial chunks).
for (const chunk of entry.chunks) {
if (signal?.aborted) throw new Error('aborted')
yield chunk
}
throw new LlmError(entry.message, entry.code, entry.status)
case 'hang':
// Replay a stream that stalls until cancelled (mirrors MockAdapter): one
// chunk, then wait for abort and surface it as the consumer expects.
yield { type: 'block-start', index: 0, blockType: 'text' }
yield { type: 'text-delta', index: 0, text: 'partial' }
await new Promise<void>((_resolve, reject) => {
if (signal?.aborted) { reject(new Error('aborted')); return }
signal?.addEventListener('abort', () => { reject(new Error('aborted')) }, { once: true })
})
return
default:
// Closed local union: an unknown kind means malformed (hand-edited or
// drifted) sidecar data — fail loud with a runtime diagnostic.
return assertNever(entry, 'llm-replay replay entry')
}
}
/**
* Install the replay `llm/stream` listener on `ctx`. Returns the listener
* disposer (so a fiber dispose removes it — HMR safety). Exported separately
* from {@link apply} so unit tests can drive it without the Loader or env vars.
*
* Replay is POSITIONAL: the Nth `stream()` call serves the Nth script entry.
* This is deterministic only with at most one model stream in flight at a time;
* the snapshot harness runs one ACP session per scenario to guarantee that. The
* cursor is advanced synchronously at listener-invocation time (not lazily
* inside the generator) so call ORDER, not iteration order, fixes the mapping.
*/
export function installLlmReplay(ctx: Context, config: ReplayConfig): () => void {
const entries = loadReplayScript(config)
let cursor = 0
return ctx.on('llm/stream', (options: GenerateOptions, _next) => {
const index = cursor++
const entry: ReplayEntry | undefined = entries[index]
return (async function* () {
if (entry === undefined) {
throw new Error(
`llm-replay: script exhausted — requested model call #${index + 1} but the fixture has only ${entries.length}; re-record the scenario`,
)
}
yield* replayEntry(entry, options.signal)
})()
})
}
export const name = 'llm-replay'
export const inject = ['llm']
export interface Config {
/** Override the fixture path; defaults to `$DSH_SNAPSHOT_FILE`. */
file?: string
/** Override the sidecar path; defaults to `$DSH_SNAPSHOT_OVERRIDE`. */
overrideFile?: string
}
export function apply(ctx: Context, config: Config = {}): void {
const file = config.file ?? process.env.DSH_SNAPSHOT_FILE
if (file === undefined || file.length === 0) {
throw new Error('llm-replay: a fixture path is required (Config.file or $DSH_SNAPSHOT_FILE)')
}
const overrideFile = config.overrideFile ?? process.env.DSH_SNAPSHOT_OVERRIDE
installLlmReplay(ctx, overrideFile === undefined || overrideFile.length === 0 ? { file } : { file, overrideFile })
}

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@@ -2,20 +2,35 @@ import { fileURLToPath, pathToFileURL } from 'node:url'
import { Context } from 'cordis'
import Loader from '@cordisjs/plugin-loader'
// Snapshot-test modes (set by the snapshot harness via env):
// DSH_SNAPSHOT=replay — load cordis.snapshot.yml (providerless; llm-replay
// serves a recorded session log). Skip .env so a stray
// key can never trigger a live model call.
// DSH_SNAPSHOT=record — load the normal cordis.yml (the real llm-deepseek
// adapter + persistence) so a real run can be harvested
// (the persistence root is redirected by env).
// Absent — the normal demo (cordis.yml), driven by a real editor.
const snapshotMode = process.env.DSH_SNAPSHOT
const configPath = snapshotMode === 'replay' ? './cordis.snapshot.yml' : './cordis.yml'
// Load DEEPSEEK_API_KEY / DEEPSEEK_BASE_URL from a gitignored repo-root .env
// (Node native). Absent file is fine — the environment may already carry them.
// In REPLAY mode we deliberately skip this: replay must never reach the network,
// so we don't want a present .env to enable a live call.
//
// IMPORTANT: this server speaks ACP JSON-RPC on stdout. Do NOT add any
// stdout logging here or in cordis.yml — it would corrupt the protocol frames.
// A present-but-unreadable/malformed .env is a real misconfiguration: surface
// it on STDERR (never stdout) rather than silently running with the wrong env.
try {
process.loadEnvFile(new URL('../../.env', import.meta.url).pathname)
} catch (error) {
if ((error as NodeJS.ErrnoException | null)?.code !== 'ENOENT') {
process.stderr.write(`acp-agent: failed to load .env: ${String(error)}\n`)
if (snapshotMode !== 'replay') {
try {
process.loadEnvFile(new URL('../../.env', import.meta.url).pathname)
} catch (error) {
if ((error as NodeJS.ErrnoException | null)?.code !== 'ENOENT') {
process.stderr.write(`acp-agent: failed to load .env: ${String(error)}\n`)
}
// ENOENT (no .env) is fine — rely on the ambient environment.
}
// ENOENT (no .env) is fine — rely on the ambient environment.
}
// Resolve relative cordis.yml paths from the repo root no matter where the
@@ -29,6 +44,20 @@ await ctx.plugin(Loader)
await ctx.loader.create({
name: '@cordisjs/plugin-include',
config: {
path: './cordis.yml',
path: configPath,
},
})
// Graceful shutdown for snapshot runs (both replay and record): when the client
// closes our stdin (it is done driving the session), dispose the whole context.
// Disposal awaits the agent-loop teardown and the persistence backend's final
// `session/flush`, so the session `.jsonl` is fully written before the process
// exits and the harness harvests it (and the subprocess exits cleanly so the
// harness's waitForExit resolves). (In a normal editor session stdin stays open
// for the connection's lifetime; the editor kills the process, so this never
// fires.)
if (snapshotMode !== undefined) {
process.stdin.on('end', () => {
void ctx.fiber.dispose().then(() => { process.exit(0) })
})
}

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@@ -0,0 +1,109 @@
import { readFile, readdir, writeFile } from 'node:fs/promises'
import { existsSync } from 'node:fs'
import { fileURLToPath } from 'node:url'
import { dirname, join } from 'node:path'
import { describe, expect, it } from 'vitest'
import { type InputScript, runScenario } from './snapshot-harness.ts'
import { type NormalizeContext, normalizeSessionLog, normalizeStdout } from './snapshot-normalize.ts'
/**
* ACP snapshot tests (REPLAY by default, keyless). Each scenario under
* `snapshots/<name>/` ships an `input.json` (the client stdin script) and a
* recorded `session.jsonl` fixture; replay boots the real acp-agent subprocess,
* drives it, and diffs the normalized stdout transcript (and, for model
* scenarios, the re-persisted session log) against committed goldens.
*
* `pnpm run test:snapshot:record` (DSH_SNAPSHOT=record + -u) re-records the
* fixtures against the real API and refreshes the goldens in one pass.
*/
const SNAPSHOTS_DIR = join(dirname(fileURLToPath(import.meta.url)), 'snapshots')
const RECORDING = process.env.DSH_SNAPSHOT === 'record'
/** A snapshot scenario and how its fixtures are produced. */
interface Scenario {
name: string
/** Whether the scenario drives at least one model turn (so a JSONL golden applies). */
hasModelTurn: boolean
/**
* Whether `test:snapshot:record` regenerates this scenario's `session.jsonl`
* from the LIVE API. `recorded` scenarios are model-driven and reproducible;
* `authored` scenarios (a hand-written `replay.override.json` sidecar drives
* replay — e.g. a provider error or a cancel, which the live API can't be
* coaxed into deterministically) are NEVER re-recorded.
*/
recorded: boolean
}
const SCENARIOS: Scenario[] = [
{ name: 'handshake', hasModelTurn: false, recorded: false },
{ name: 'reject-extra-dirs', hasModelTurn: false, recorded: false },
{ name: 'text-turn', hasModelTurn: true, recorded: true },
{ name: 'tool-call-turn', hasModelTurn: true, recorded: true },
{ name: 'workspace-edit', hasModelTurn: true, recorded: true },
{ name: 'multi-turn', hasModelTurn: true, recorded: true },
{ name: 'error-finish', hasModelTurn: true, recorded: false },
{ name: 'cancel', hasModelTurn: true, recorded: false },
]
for (const scenario of SCENARIOS) {
describe(`snapshot: ${scenario.name}`, () => {
// In RECORD mode, only re-run the `recorded` (live-API) scenarios; the
// `authored` ones (sidecar-driven errors/cancel) are never re-recorded.
it.skipIf(RECORDING && !scenario.recorded)('matches the goldens', async () => {
const dir = join(SNAPSHOTS_DIR, scenario.name)
const input = JSON.parse(await readFile(join(dir, 'input.json'), 'utf8')) as InputScript
const overrideFile = join(dir, 'replay.override.json')
const workspaceDir = join(dir, 'workspace')
const result = await runScenario(input, {
mode: RECORDING ? 'record' : 'replay',
fixtureFile: join(dir, 'session.jsonl'),
...existsSync(overrideFile) ? { overrideFile } : {},
...existsSync(workspaceDir) ? { workspaceDir } : {},
})
const ctx: NormalizeContext = {
sessionIds: result.sessionId !== undefined ? [result.sessionId] : [],
cwd: result.cwd,
}
// RECORD mode (recorded scenarios only): persist the freshly-harvested log
// back to the scenario's session.jsonl fixture. `--update` refreshes the
// Vitest goldens but NOT this fixture, so write it here.
if (RECORDING && scenario.recorded && scenario.hasModelTurn) {
expect(result.sessionLog, 'record produced no session log to harvest').toBeDefined()
await writeFile(join(dir, 'session.jsonl'), result.sessionLog as string)
}
await expect(normalizeStdout(result.rawStdout, ctx))
.toMatchFileSnapshot(join(dir, 'stdout.golden.jsonl'))
if (scenario.hasModelTurn) {
expect(result.sessionLog, 'a model scenario must persist a session log').toBeDefined()
await expect(normalizeSessionLog(result.sessionLog as string, ctx))
.toMatchFileSnapshot(join(dir, 'session.golden.jsonl'))
}
})
})
}
describe('snapshot fixtures', () => {
it('every scenario directory is registered (no orphans)', async () => {
// toMatchFileSnapshot does not prune orphaned golden/fixture files, so a
// renamed/removed scenario could leave a stale dir that nothing exercises.
// Fail loud on any snapshots/<dir> not present in SCENARIOS.
const entries = await readdir(SNAPSHOTS_DIR, { withFileTypes: true })
const onDisk = entries.filter(e => e.isDirectory()).map(e => e.name).sort()
const registered = SCENARIOS.map(s => s.name).sort()
expect(onDisk).toEqual(registered)
})
it('every registered scenario has its required fixture files', async () => {
for (const { name } of SCENARIOS) {
const dir = join(SNAPSHOTS_DIR, name)
expect(existsSync(join(dir, 'input.json')), `${name}/input.json`).toBe(true)
expect(existsSync(join(dir, 'session.jsonl')), `${name}/session.jsonl`).toBe(true)
expect(existsSync(join(dir, 'stdout.golden.jsonl')), `${name}/stdout.golden.jsonl`).toBe(true)
}
})
})

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import { mkdtempSync, rmSync, writeFileSync } from 'node:fs'
import { tmpdir } from 'node:os'
import { join } from 'node:path'
import { afterEach, beforeEach, describe, expect, it } from 'vitest'
import { Context } from 'cordis'
import type { SessionEvent } from '@deepseek-ai/dsh-session'
import LlmService, { GenerateOptions, LlmAdapter, StreamChunk } from '@deepseek-ai/dsh-llm'
import {
type ReplayEntry,
deriveReplayScript,
installLlmReplay,
loadReplayScript,
parseSessionLog,
} from '../src/llm-replay.ts'
/**
* Unit tests for the replay llm/stream plugin. These drive the listener through
* the REAL LlmService waterfall (not a hand-rolled stub) so they verify the
* actual seam the snapshot harness depends on, plus the pure
* derive/parse/load helpers that turn a recorded session JSONL into a script.
*/
const TEXT_CHUNKS: StreamChunk[] = [
{ type: 'block-start', index: 0, blockType: 'text' },
{ type: 'text-delta', index: 0, text: 'hi' },
{ type: 'block-end', index: 0, block: { type: 'text', text: 'hi' } },
{ type: 'usage', usage: { inputTokens: 1, outputTokens: 1 } },
{ type: 'finish', reason: { kind: 'stop' } },
]
/** Build a minimal session-JSONL string: a header line + the given events. */
function sessionJsonl(events: SessionEvent[]): string {
const header = JSON.stringify({ type: 'session', version: 1, id: 's1', createdAt: 0 })
return [header, ...events.map(e => JSON.stringify(e))].join('\n') + '\n'
}
/** A SessionEvent of type assistant/chunk for (turn, step). */
function chunkEvent(seq: number, turn: number, step: number, chunk: StreamChunk): SessionEvent {
return { type: 'assistant/chunk', seq, time: 0, data: { turn, step, chunk } }
}
let dir: string
let file: string
beforeEach(() => {
dir = mkdtempSync(join(tmpdir(), 'llm-replay-spec-'))
file = join(dir, 'session.jsonl')
})
afterEach(() => {
rmSync(dir, { recursive: true, force: true })
})
async function drain(iter: AsyncIterable<StreamChunk>): Promise<StreamChunk[]> {
const out: StreamChunk[] = []
for await (const chunk of iter) out.push(chunk)
return out
}
describe('parseSessionLog', () => {
it('skips the header line and parses each event', () => {
const events = [chunkEvent(1, 1, 1, TEXT_CHUNKS[0] as StreamChunk)]
expect(parseSessionLog(sessionJsonl(events))).toEqual(events)
})
it('ignores blank lines', () => {
const header = JSON.stringify({ type: 'session', version: 1, id: 's1', createdAt: 0 })
const ev = chunkEvent(1, 1, 1, TEXT_CHUNKS[0] as StreamChunk)
expect(parseSessionLog(`${header}\n\n${JSON.stringify(ev)}\n\n`)).toEqual([ev])
})
})
describe('deriveReplayScript', () => {
it('groups assistant/chunk by (turn, step) into one entry per stream() call', () => {
const events: SessionEvent[] = TEXT_CHUNKS.map((c, i) => chunkEvent(i + 1, 1, 1, c))
expect(deriveReplayScript(events)).toEqual([{ kind: 'chunks', chunks: TEXT_CHUNKS }])
})
it('produces one entry per distinct (turn, step), in log order', () => {
const callA = TEXT_CHUNKS
const callB: StreamChunk[] = [
{ type: 'block-start', index: 0, blockType: 'text' },
{ type: 'text-delta', index: 0, text: 'two' },
{ type: 'finish', reason: { kind: 'stop' } },
]
let seq = 1
const events: SessionEvent[] = [
...callA.map(c => chunkEvent(seq++, 1, 1, c)),
...callB.map(c => chunkEvent(seq++, 1, 2, c)), // same turn, next step
]
expect(deriveReplayScript(events)).toEqual([
{ kind: 'chunks', chunks: callA },
{ kind: 'chunks', chunks: callB },
])
})
it('separates calls across turns too', () => {
let seq = 1
const events: SessionEvent[] = [
...TEXT_CHUNKS.map(c => chunkEvent(seq++, 1, 1, c)),
...TEXT_CHUNKS.map(c => chunkEvent(seq++, 2, 1, c)), // new turn, step resets to 1
]
expect(deriveReplayScript(events)).toHaveLength(2)
})
it('ignores non-assistant/chunk events', () => {
let seq = 1
const events: SessionEvent[] = [
{ type: 'turn/start', seq: seq++, time: 0, data: { turn: 1, trigger: { kind: 'continuation' } } },
...TEXT_CHUNKS.map(c => chunkEvent(seq++, 1, 1, c)),
{ type: 'turn/end', seq: seq++, time: 0, data: { turn: 1, reason: { kind: 'completed' } } },
]
expect(deriveReplayScript(events)).toEqual([{ kind: 'chunks', chunks: TEXT_CHUNKS }])
})
it('returns an empty script for a log with no assistant/chunk events', () => {
expect(deriveReplayScript([])).toEqual([])
})
it('keeps a finish-error chunk in the derived entry (replays naturally)', () => {
const errChunks: StreamChunk[] = [
{ type: 'block-start', index: 0, blockType: 'text' },
{ type: 'finish', reason: { kind: 'error', message: 'boom', code: 'X' } },
]
const events = errChunks.map((c, i) => chunkEvent(i + 1, 1, 1, c))
expect(deriveReplayScript(events)).toEqual([{ kind: 'chunks', chunks: errChunks }])
})
it('throws on a group that lacks a terminal finish chunk (a thrown stream)', () => {
// A thrown stream(): prefix chunks logged, then error/turn/end, NO finish.
const events: SessionEvent[] = [
chunkEvent(1, 1, 1, { type: 'block-start', index: 0, blockType: 'text' }),
chunkEvent(2, 1, 1, { type: 'text-delta', index: 0, text: 'par' }),
{ type: 'turn/end', seq: 3, time: 0, data: { turn: 1, reason: { kind: 'error', message: 'x' } } },
]
expect(() => deriveReplayScript(events)).toThrow(/without a finish chunk.*replay\.override\.json/s)
})
it('names the offending (turn, step) when a group is incomplete', () => {
const events: SessionEvent[] = [
chunkEvent(1, 2, 3, { type: 'block-start', index: 0, blockType: 'text' }),
]
expect(() => deriveReplayScript(events)).toThrow(/2\/3/)
})
})
describe('loadReplayScript', () => {
it('derives from the session JSONL when no override is present', () => {
writeFileSync(file, sessionJsonl(TEXT_CHUNKS.map((c, i) => chunkEvent(i + 1, 1, 1, c))), 'utf8')
expect(loadReplayScript({ file })).toEqual([{ kind: 'chunks', chunks: TEXT_CHUNKS }])
})
it('uses the sidecar override when present, ignoring the JSONL', () => {
writeFileSync(file, sessionJsonl([]), 'utf8')
const overrideFile = join(dir, 'replay.override.json')
const override: ReplayEntry[] = [{ kind: 'throw', chunks: [], message: '401', code: 'AUTH', status: 401 }]
writeFileSync(overrideFile, JSON.stringify(override), 'utf8')
expect(loadReplayScript({ file, overrideFile })).toEqual(override)
})
it('falls back to the JSONL when the override path is set but absent', () => {
writeFileSync(file, sessionJsonl(TEXT_CHUNKS.map((c, i) => chunkEvent(i + 1, 1, 1, c))), 'utf8')
expect(loadReplayScript({ file, overrideFile: join(dir, 'nope.json') }))
.toEqual([{ kind: 'chunks', chunks: TEXT_CHUNKS }])
})
it('fails loud when the fixture is missing', () => {
expect(() => loadReplayScript({ file: join(dir, 'absent.jsonl') })).toThrow(/fixture not found/)
})
it('throws when the override is not a JSON array', () => {
writeFileSync(file, sessionJsonl([]), 'utf8')
const overrideFile = join(dir, 'replay.override.json')
writeFileSync(overrideFile, '{"not":"array"}', 'utf8')
expect(() => loadReplayScript({ file, overrideFile })).toThrow(/not a JSON array/)
})
})
describe('installLlmReplay (through the real waterfall)', () => {
function writeLog(...calls: StreamChunk[][]): void {
let seq = 1
const events: SessionEvent[] = []
calls.forEach((chunks, step) => {
for (const c of chunks) events.push(chunkEvent(seq++, 1, step + 1, c))
})
writeFileSync(file, sessionJsonl(events), 'utf8')
}
it('serves derived chunks back, short-circuiting the adapter', async () => {
writeLog(TEXT_CHUNKS)
const ctx = new Context()
await ctx.plugin(LlmService)
// No adapter registered for 'm' — replay must not reach it.
installLlmReplay(ctx, { file })
expect(await drain(ctx.llm.stream({ model: 'm', messages: [] }))).toEqual(TEXT_CHUNKS)
})
it('serves the Nth call the Nth derived entry (positional)', async () => {
const second: StreamChunk[] = [
{ type: 'block-start', index: 0, blockType: 'text' },
{ type: 'text-delta', index: 0, text: 'two' },
{ type: 'finish', reason: { kind: 'stop' } },
]
writeLog(TEXT_CHUNKS, second)
const ctx = new Context()
await ctx.plugin(LlmService)
installLlmReplay(ctx, { file })
expect(await drain(ctx.llm.stream({ model: 'm', messages: [] }))).toEqual(TEXT_CHUNKS)
expect(await drain(ctx.llm.stream({ model: 'm', messages: [] }))).toEqual(second)
})
it('replays a sidecar throw-entry as an LlmError with code/status, after its prefix chunks', async () => {
writeFileSync(file, sessionJsonl([]), 'utf8')
const overrideFile = join(dir, 'replay.override.json')
const partial: StreamChunk[] = [{ type: 'block-start', index: 0, blockType: 'text' }]
writeFileSync(overrideFile, JSON.stringify([
{ kind: 'throw', chunks: partial, message: 'unauthorized', code: 'AUTH', status: 401 },
]), 'utf8')
const ctx = new Context()
await ctx.plugin(LlmService)
installLlmReplay(ctx, { file, overrideFile })
const seen: StreamChunk[] = []
await expect((async () => {
for await (const c of ctx.llm.stream({ model: 'm', messages: [] })) seen.push(c)
})()).rejects.toMatchObject({ message: 'unauthorized', code: 'AUTH', status: 401 })
expect(seen).toEqual(partial)
})
it('replays a sidecar hang-entry that surfaces abort when the signal fires', async () => {
writeFileSync(file, sessionJsonl([]), 'utf8')
const overrideFile = join(dir, 'replay.override.json')
writeFileSync(overrideFile, JSON.stringify([{ kind: 'hang' }]), 'utf8')
const ctx = new Context()
await ctx.plugin(LlmService)
installLlmReplay(ctx, { file, overrideFile })
const controller = new AbortController()
const iterator = ctx.llm.stream({ model: 'm', messages: [], signal: controller.signal })[Symbol.asyncIterator]()
// Deterministically consume the two pre-hang chunks (no sleep), then abort
// and assert the next pull rejects — event-driven, per the no-sleeps rule.
expect((await iterator.next()).value).toMatchObject({ type: 'block-start' })
expect((await iterator.next()).value).toMatchObject({ type: 'text-delta' })
controller.abort()
await expect(iterator.next()).rejects.toThrow('aborted')
})
it('fails loud when the script is exhausted', async () => {
writeLog(TEXT_CHUNKS)
const ctx = new Context()
await ctx.plugin(LlmService)
installLlmReplay(ctx, { file })
await drain(ctx.llm.stream({ model: 'm', messages: [] }))
await expect(drain(ctx.llm.stream({ model: 'm', messages: [] }))).rejects.toThrow(/exhausted/)
})
it('aborts mid-replay when the signal is already set', async () => {
writeLog(TEXT_CHUNKS)
const ctx = new Context()
await ctx.plugin(LlmService)
installLlmReplay(ctx, { file })
const controller = new AbortController()
controller.abort()
await expect(drain(ctx.llm.stream({ model: 'm', messages: [], signal: controller.signal })))
.rejects.toThrow('aborted')
})
it('removes the waterfall listener when the owning fiber is disposed (HMR safety)', async () => {
writeLog(TEXT_CHUNKS, TEXT_CHUNKS)
const ctx = new Context()
await ctx.plugin(LlmService)
// A real adapter to fall through to AFTER dispose, proving the listener is gone.
class FallthroughAdapter extends LlmAdapter {
async * stream(_options: GenerateOptions): AsyncIterable<StreamChunk> {
yield { type: 'finish', reason: { kind: 'stop' } }
}
}
ctx.llm.registerAdapter(['m'], new FallthroughAdapter())
const fiber = await ctx.plugin(Object.assign((inner: Context) => {
installLlmReplay(inner, { file })
}, { inject: ['llm'] }))
// While installed, replay short-circuits to the derived fixture ('hi').
expect(await drain(ctx.llm.stream({ model: 'm', messages: [] }))).toEqual(TEXT_CHUNKS)
await fiber.dispose()
// After dispose the listener is gone; the call reaches the real adapter.
expect(await drain(ctx.llm.stream({ model: 'm', messages: [] })))
.toEqual([{ type: 'finish', reason: { kind: 'stop' } }])
})
})

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/**
* Shared harness for the ACP snapshot tests. A plain module (NOT a *.spec.ts /
* *.snapshot.ts) so importing it never re-registers another file's tests.
*
* It boots the REAL examples/acp-agent subprocess via the cordis Loader (so the
* export-shape bug class stays guarded — see docs/postmortem/0001), drives it
* over real ACP JSON-RPC stdio with a deterministic input script, tees raw
* stdout (for the golden + a purity check) into an SDK `ClientSideConnection`,
* and — in record mode — harvests the persisted session JSONL after a graceful
* shutdown flush. Two pure normalizers turn the captured stdout frames and the
* session-log events into stable, snapshot-able text.
*
* See docs/rfc/implemented/2026-06-19-acp-snapshot-tests.md.
*/
import { spawn, type ChildProcessWithoutNullStreams } from 'node:child_process'
import { cp, mkdtemp, readFile, readdir, rm } from 'node:fs/promises'
import { existsSync } from 'node:fs'
import { tmpdir } from 'node:os'
import { join } from 'node:path'
import { fileURLToPath } from 'node:url'
import { Readable, Writable } from 'node:stream'
import {
ClientSideConnection,
ndJsonStream,
PROTOCOL_VERSION,
type Agent as AcpAgent,
type Client,
type RequestPermissionRequest,
type RequestPermissionResponse,
type SessionNotification,
} from '@agentclientprotocol/sdk'
const startScript = fileURLToPath(new URL('../start.ts', import.meta.url))
const tsxLoader = fileURLToPath(import.meta.resolve('tsx'))
// The repo-root tsconfig: dev/test run UNBUILT and the `@deepseek-ai/dsh-*`
// imports resolve through its `paths` map. The child's cwd is a temp dir
// OUTSIDE the repo, so tsx's upward search would miss it — point tsx at the
// repo tsconfig explicitly (same fix the e2e harness uses). Repo root is four
// levels up from this file (examples/acp-agent/tests).
const repoTsconfig = fileURLToPath(new URL('../../../tsconfig.json', import.meta.url))
/**
* One step of a scenario's deterministic input script (`input.json`). The
* harness interprets these in order. `newSession` captures the server-issued
* (random) session id into a `{{sessionId}}` variable that later steps
* reference, since a committed file cannot know the id in advance.
*
* `promptAndCancel` sends a prompt WITHOUT awaiting its response, waits until
* the client observes the first streamed `agent_message_chunk` (so the emitted
* frames deterministically precede the cancellation), then cancels the turn —
* the only way to exercise a cancel deterministically (a plain `prompt` step
* awaits the response, which a cancel/hang scenario would block on forever).
*/
type InputStep =
| { op: 'initialize'; terminalOutput?: boolean }
| { op: 'newSession' }
| { op: 'newSessionExpectError'; additionalDirectories?: string[] }
| { op: 'prompt'; text: string }
| { op: 'promptExpectError'; text: string }
| { op: 'promptAndCancel'; text: string }
| { op: 'cancel' }
/** A scenario's `input.json`: an ordered list of input steps. */
export interface InputScript {
steps: InputStep[]
}
/** The result of running a scenario: raw stdout + the harvested session log. */
export interface RunResult {
/** Raw stdout bytes (decoded utf8), every newline-delimited JSON-RPC frame. */
rawStdout: string
/** stderr (for diagnostics on failure). */
stderr: string
/** The session id the server issued (undefined if no session was created). */
sessionId?: string
/** The temp cwd the session ran in (the bash workspace). */
cwd: string
/** The persisted session log's content, if one was produced. */
sessionLog?: string
}
interface RunOptions {
/** `replay` (default, keyless) or `record` (real API, harvests the log). */
mode: 'replay' | 'record'
/** The recorded session JSONL fixture path (replay reads it; record writes near it). */
fixtureFile: string
/** Optional sidecar override path (replay). */
overrideFile?: string
/**
* Optional `<scenario>/workspace/` directory whose contents are copied into
* the temp cwd BEFORE the run — the standard way to seed files the agent
* operates on (a file to read, edit, or grep). Absent for scenarios that
* start from an empty workspace.
*/
workspaceDir?: string
}
/**
* Run a scenario end-to-end against a freshly-spawned subprocess. Owns the
* child and its temp dirs; always tears them down. Returns the captured stdout
* and (record mode) the harvested session-log path.
*/
export async function runScenario(input: InputScript, opts: RunOptions): Promise<RunResult> {
const cwd = await mkdtemp(join(tmpdir(), 'acp-snap-cwd-'))
const sessionsRoot = await mkdtemp(join(tmpdir(), 'acp-snap-sessions-'))
// Everything past the temp-dir creation runs under a try/finally that always
// removes both dirs — so a failure in workspace seeding, spawn, or any step
// never leaks them (the "e2e tests own their resources" rule).
let child: ChildProcessWithoutNullStreams | undefined
let sessionId: string | undefined
let sessionLog: string | undefined
const rawBuffers: Buffer[] = []
const stderrChunks: string[] = []
try {
// Seed the workspace if the scenario ships one (a file the agent reads/edits).
// Copied into the temp cwd so the agent's bash tools see it; the goldens
// normalize the cwd, so the seeded paths stay stable across runs.
if (opts.workspaceDir !== undefined && existsSync(opts.workspaceDir)) {
await cp(opts.workspaceDir, cwd, { recursive: true })
}
const env: NodeJS.ProcessEnv = {
...process.env,
TSX_TSCONFIG_PATH: repoTsconfig,
DSH_SNAPSHOT: opts.mode,
DSH_SNAPSHOT_FILE: opts.fixtureFile,
DSH_SNAPSHOT_SESSIONS_ROOT: sessionsRoot,
...opts.overrideFile !== undefined ? { DSH_SNAPSHOT_OVERRIDE: opts.overrideFile } : {},
}
child = spawn(
process.execPath,
['--import', tsxLoader, startScript],
{ cwd, env, stdio: ['pipe', 'pipe', 'pipe'] },
)
child.stderr.setEncoding('utf8')
child.stderr.on('data', (c: string) => stderrChunks.push(c))
// Tee raw stdout: accumulate the bytes for the golden + purity check, and ALSO
// feed the same bytes to the SDK client through a passthrough. Buffer the raw
// bytes (not per-chunk utf8 strings) and decode once at the end, so a
// multibyte sequence split across two 'data' events can't corrupt the golden.
const passthrough = new Readable({ read() {} })
child.stdout.on('data', (buf: Buffer) => {
rawBuffers.push(buf)
passthrough.push(buf)
})
child.stdout.on('end', () => passthrough.push(null))
const stream = ndJsonStream(
Writable.toWeb(child.stdin) as WritableStream<Uint8Array>,
Readable.toWeb(passthrough) as ReadableStream<Uint8Array>,
)
// Watcher so a step can block until the client OBSERVES a particular
// session/update — used by promptAndCancel to pin frame order (send cancel
// only after the streamed agent_message_chunk has arrived, so those frames
// deterministically precede the cancelled prompt response).
const updateWaiters: { match: (u: SessionNotification['update']) => boolean; resolve: () => void }[] = []
const waitForUpdate = (match: (u: SessionNotification['update']) => boolean): Promise<void> =>
new Promise<void>(resolve => updateWaiters.push({ match, resolve }))
const makeClient = (_agent: AcpAgent): Client => ({
sessionUpdate(params: SessionNotification): Promise<void> {
for (let i = updateWaiters.length - 1; i >= 0; i--) {
const waiter = updateWaiters[i]
if (waiter !== undefined && waiter.match(params.update)) {
updateWaiters.splice(i, 1)
waiter.resolve()
}
}
return Promise.resolve()
},
requestPermission(_params: RequestPermissionRequest): Promise<RequestPermissionResponse> {
return Promise.resolve({ outcome: { outcome: 'cancelled' } })
},
})
const client = new ClientSideConnection(makeClient, stream)
for (const step of input.steps) {
await runStep(client, step, cwd, waitForUpdate, () => sessionId, (id) => { sessionId = id })
}
// Done driving: close stdin so the server disposes gracefully (flushing
// persistence) and exits. Then await exit so the harvested log is complete.
child.stdin.end()
await waitForExit(child)
// Harvest the persisted log (if any) while the temp dirs still exist.
const sessionLogPath = await findSessionLog(sessionsRoot)
if (sessionLogPath !== undefined) sessionLog = await readFile(sessionLogPath, 'utf8')
} finally {
// Failure-safe teardown: kill a still-running child and drop the temp dirs
// even if seeding/spawn/a step/harvest threw, so a flaky run never leaks a
// process or dir. `child` is undefined only if spawn itself threw.
if (child !== undefined && child.exitCode === null && child.signalCode === null) {
child.kill('SIGKILL')
await waitForExit(child)
}
await rm(cwd, { recursive: true, force: true })
await rm(sessionsRoot, { recursive: true, force: true })
}
return {
rawStdout: Buffer.concat(rawBuffers).toString('utf8'),
stderr: stderrChunks.join(''),
cwd,
...sessionId !== undefined ? { sessionId } : {},
...sessionLog !== undefined ? { sessionLog } : {},
}
}
/** Drive one input step over the client connection. */
async function runStep(
client: ClientSideConnection,
step: InputStep,
cwd: string,
waitForUpdate: (match: (u: SessionNotification['update']) => boolean) => Promise<void>,
getSessionId: () => string | undefined,
setSessionId: (id: string) => void,
): Promise<void> {
switch (step.op) {
case 'initialize':
await client.initialize({
protocolVersion: PROTOCOL_VERSION,
clientCapabilities: step.terminalOutput === true ? { _meta: { terminal_output: true } } : {},
})
return
case 'newSession': {
const { sessionId } = await client.newSession({ cwd, mcpServers: [] })
setSessionId(sessionId)
return
}
case 'newSessionExpectError': {
// The bridge rejects a session/new that widens the workspace scope
// (non-empty additionalDirectories / mcpServers — unimplemented). The SDK
// surfaces that as a rejected RPC; swallow it so the run completes and the
// error frame is captured in the transcript.
await client.newSession({
cwd,
mcpServers: [],
...step.additionalDirectories !== undefined ? { additionalDirectories: step.additionalDirectories } : {},
}).then(
() => { throw new Error('snapshot-harness: expected session/new to be rejected but it succeeded') },
() => { /* expected: the bridge rejected the unsupported workspace scope */ },
)
return
}
case 'prompt': {
const sessionId = getSessionId()
if (sessionId === undefined) throw new Error('snapshot-harness: prompt before newSession')
await client.prompt({ sessionId, prompt: [{ type: 'text', text: step.text }] })
return
}
case 'promptExpectError': {
const sessionId = getSessionId()
if (sessionId === undefined) throw new Error('snapshot-harness: promptExpectError before newSession')
// The model fails this turn (a recorded provider error), so the bridge
// answers the prompt with a JSON-RPC error and the SDK rejects. That
// rejection IS the expected editor experience — swallow it so the run
// completes and the stdout transcript (the error frame) is captured.
await client.prompt({ sessionId, prompt: [{ type: 'text', text: step.text }] })
.then(() => { throw new Error('snapshot-harness: expected the prompt to fail but it succeeded') },
() => { /* expected: the turn failed and the bridge returned an error */ })
return
}
case 'promptAndCancel': {
const sessionId = getSessionId()
if (sessionId === undefined) throw new Error('snapshot-harness: promptAndCancel before newSession')
// Dispatch the prompt WITHOUT awaiting (a hang fixture never resolves on
// its own). To pin frame order deterministically, wait until the client
// has OBSERVED the hang's streamed agent_message_chunk before cancelling —
// so those update frames always precede the cancelled prompt response in
// the transcript (without this, the late chunk and the response race; see
// the Codex review of commit 5). Then cancel and await the prompt, which
// the bridge settles as `cancelled` once the abort propagates.
const promptDone = client.prompt({ sessionId, prompt: [{ type: 'text', text: step.text }] })
await waitForUpdate(u => u.sessionUpdate === 'agent_message_chunk')
await client.cancel({ sessionId })
await promptDone
return
}
case 'cancel': {
const sessionId = getSessionId()
if (sessionId === undefined) throw new Error('snapshot-harness: cancel before newSession')
await client.cancel({ sessionId })
return
}
default:
throw new Error(`snapshot-harness: unknown input op ${JSON.stringify(step)}`)
}
}
/** Resolve once the child process exits (any code/signal). */
function waitForExit(child: ChildProcessWithoutNullStreams): Promise<void> {
if (child.exitCode !== null || child.signalCode !== null) return Promise.resolve()
return new Promise<void>(resolve => child.once('exit', () => { resolve() }))
}
/** Find the single produced `.jsonl` session log under a sessions root, if any. */
async function findSessionLog(root: string): Promise<string | undefined> {
let cwdDirs: string[]
try {
cwdDirs = await readdir(root)
} catch {
return undefined
}
for (const dir of cwdDirs) {
const sub = join(root, dir)
let files: string[]
try {
files = await readdir(sub)
} catch {
continue
}
const jsonl = files.find(f => f.endsWith('.jsonl'))
if (jsonl !== undefined) return join(sub, jsonl)
}
return undefined
}

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import { describe, expect, it } from 'vitest'
import { type NormalizeContext, normalizeSessionLog, normalizeStdout } from '../tests/snapshot-normalize.ts'
/**
* Unit tests for the pure snapshot normalizers. Live as a *.spec.ts (runs in
* the default unit gate) and import the harness-side normalizers directly.
*/
const ctx: NormalizeContext = {
sessionIds: ['11111111-2222-3333-4444-555555555555'],
cwd: '/tmp/acp-snap-cwd-abc123',
}
describe('normalizeStdout', () => {
it('rewrites JSON-RPC ids to a stable first-seen sequence', () => {
const raw = [
JSON.stringify({ jsonrpc: '2.0', id: 42, method: 'initialize' }),
JSON.stringify({ jsonrpc: '2.0', id: 42, result: {} }),
JSON.stringify({ jsonrpc: '2.0', id: 99, method: 'session/new' }),
].join('\n')
const out = normalizeStdout(raw, ctx)
expect(out).toContain('"id":1')
expect(out).toContain('"id":2')
expect(out).not.toContain('42')
expect(out).not.toContain('99')
})
it('scrubs the cwd and session id anywhere they appear', () => {
const raw = JSON.stringify({
jsonrpc: '2.0', method: 'session/update',
params: { sessionId: ctx.sessionIds[0], cwd: ctx.cwd, note: `at ${ctx.cwd}/x` },
})
const out = normalizeStdout(raw, ctx)
expect(out).toContain('{{sessionId}}')
expect(out).toContain('{{cwd}}')
expect(out).not.toContain(ctx.cwd)
expect(out).not.toContain(ctx.sessionIds[0] as string)
})
it('scrubs a stray UUID not in the known list', () => {
const raw = JSON.stringify({ jsonrpc: '2.0', method: 'x', params: { id: 'aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee' } })
expect(normalizeStdout(raw, ctx)).toContain('{{sessionId}}')
})
it('leaves notification frames without an id untouched in id-space', () => {
const raw = JSON.stringify({ jsonrpc: '2.0', method: 'session/update', params: {} })
const out = normalizeStdout(raw, ctx)
expect(out).not.toContain('"id"')
})
it('throws on a non-JSON stdout line (the purity check)', () => {
const raw = `${JSON.stringify({ jsonrpc: '2.0', id: 1 })}\noops a log leaked\n`
expect(() => normalizeStdout(raw, ctx)).toThrow()
})
it('ignores blank lines', () => {
const raw = `\n${JSON.stringify({ jsonrpc: '2.0', id: 1, method: 'm' })}\n\n`
expect(() => normalizeStdout(raw, ctx)).not.toThrow()
})
})
describe('normalizeSessionLog', () => {
const header = (over: object) => JSON.stringify({ type: 'session', version: 1, id: 's', createdAt: 123, ...over })
const event = (over: object) => JSON.stringify({ type: 'turn/start', seq: 1, time: 999, data: { turn: 1 }, ...over })
it('zeroes the header createdAt', () => {
const out = normalizeSessionLog(`${header({})}\n`, ctx)
expect(out).toContain('"createdAt":0')
expect(out).not.toContain('123')
})
it('zeroes each event time but keeps seq', () => {
const out = normalizeSessionLog(`${header({})}\n${event({ seq: 7, time: 999 })}\n`, ctx)
expect(out).toContain('"time":0')
expect(out).toContain('"seq":7') // seq is deterministic — NOT scrubbed
expect(out).not.toContain('999')
})
it('scrubs cwd and session id deep inside event data', () => {
const ev = JSON.stringify({
type: 'tool/result', seq: 2, time: 5,
data: { content: [{ type: 'text', text: `wrote ${ctx.cwd}/proof.txt` }] },
})
const out = normalizeSessionLog(`${header({ cwd: ctx.cwd })}\n${ev}\n`, ctx)
expect(out).toContain('{{cwd}}')
expect(out).not.toContain(ctx.cwd)
})
it('scrubs the session id in the header', () => {
const out = normalizeSessionLog(`${header({ id: ctx.sessionIds[0] })}\n`, ctx)
expect(out).toContain('{{sessionId}}')
})
})

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/**
* Pure normalizers for the ACP snapshot goldens. They replace the
* non-deterministic values in the two captured surfaces — the stdout JSON-RPC
* transcript and the persisted session JSONL — with stable tokens, so a golden
* compare reflects behavior, not run-to-run noise. Kept dependency-free and
* side-effect-free so they unit-test trivially.
*
* Scrubbed: `randomUUID()` session ids → `{{sessionId}}`; the temp `mkdtemp`
* cwd → `{{cwd}}` (it appears in terminal-card `_meta` and the log header);
* JSON-RPC request `id` → a stable per-transcript sequence; the log's per-event
* `time` (epoch ms) and header `createdAt` → 0. NOT scrubbed: the log's `seq`
* (deterministic — `seq = log.length`, part of the event-log contract).
*
* See docs/rfc/implemented/2026-06-19-acp-snapshot-tests.md.
*/
const SESSION_ID = '{{sessionId}}'
const CWD = '{{cwd}}'
/** A UUID v4 string, the shape `randomUUID()` produces for session ids. */
const UUID_RE = /[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}/gi
/** Inputs the normalizers need to recognize a run's volatile values. */
export interface NormalizeContext {
/** The session id(s) the run issued — replaced with `{{sessionId}}`. */
sessionIds: string[]
/** The temp cwd the run used — replaced with `{{cwd}}`. */
cwd: string
}
/** Replace cwd, session ids, and any stray UUID with stable tokens in a string. */
function scrubString(value: string, ctx: NormalizeContext): string {
let out = value
// cwd first (longest, most specific), then explicit session ids, then any
// residual UUID (covers ids that appear in places we didn't enumerate).
out = out.split(ctx.cwd).join(CWD)
for (const id of ctx.sessionIds) out = out.split(id).join(SESSION_ID)
out = out.replace(UUID_RE, SESSION_ID)
return out
}
/** Recursively scrub a parsed JSON value (strings replaced; structure kept). */
function scrubValue(value: unknown, ctx: NormalizeContext): unknown {
if (typeof value === 'string') return scrubString(value, ctx)
if (Array.isArray(value)) return value.map(v => scrubValue(v, ctx))
if (value !== null && typeof value === 'object') {
const out: Record<string, unknown> = {}
for (const [k, v] of Object.entries(value)) out[k] = scrubValue(v, ctx)
return out
}
return value
}
/**
* Normalize a raw stdout transcript (newline-delimited JSON-RPC frames) into a
* stable golden in the SAME shape as the wire: one compact JSON frame per line
* (NDJSON), with the JSON-RPC `id` rewritten to a per-transcript sequence
* (1, 2, 3, …) and all volatile strings scrubbed. Throws if any non-empty line
* is not valid JSON — that doubles as the stdout-purity check (no logger leaked
* onto the protocol).
*/
export function normalizeStdout(rawStdout: string, ctx: NormalizeContext): string {
const lines = rawStdout.split('\n').filter(line => line.trim().length > 0)
// Map each distinct JSON-RPC id (request/response correlate by id) to a stable
// sequence number, in first-seen order, so id churn doesn't perturb the golden.
const idSeq = new Map<string, number>()
const stableId = (id: unknown): number => {
const key = JSON.stringify(id)
let n = idSeq.get(key)
if (n === undefined) { n = idSeq.size + 1; idSeq.set(key, n) }
return n
}
const frames = lines.map((line) => {
const frame = JSON.parse(line) as Record<string, unknown>
if ('id' in frame && frame.id !== undefined && frame.id !== null) {
frame.id = stableId(frame.id)
}
return scrubValue(frame, ctx) as Record<string, unknown>
})
return frames.map(f => JSON.stringify(f)).join('\n') + '\n'
}
/**
* Normalize a session JSONL log into a stable golden: the header line's
* volatile fields (`createdAt`, `id`, `cwd`) and every event's `time` are
* zeroed/scrubbed, all volatile strings scrubbed, and `seq` is LEFT INTACT
* (deterministic by contract). Output is JSONL in the same shape as the input —
* one compact record per line.
*/
export function normalizeSessionLog(rawLog: string, ctx: NormalizeContext): string {
const lines = rawLog.split('\n').filter(line => line.trim().length > 0)
const records = lines.map((line) => {
const record = JSON.parse(line) as Record<string, unknown>
// Header line: { type: 'session', createdAt, id, cwd, … }.
if (record.type === 'session') {
if ('createdAt' in record) record.createdAt = 0
} else if ('time' in record) {
// Event line: zero the epoch-ms timestamp; keep seq (deterministic).
record.time = 0
}
return scrubValue(record, ctx) as Record<string, unknown>
})
return records.map(r => JSON.stringify(r)).join('\n') + '\n'
}

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{
"steps": [
{ "op": "initialize" },
{ "op": "newSession" },
{ "op": "promptAndCancel", "text": "Start a long task; this turn will be cancelled mid-stream." }
]
}

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[
{ "kind": "hang" }
]

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{"type":"session","version":1,"id":"{{sessionId}}","createdAt":0,"cwd":"{{cwd}}"}
{"type":"turn/start","seq":0,"time":0,"data":{"turn":1,"trigger":{"kind":"message","source":{"kind":"user"}}}}
{"type":"user/message","seq":1,"time":0,"data":{"content":[{"type":"text","text":"Start a long task; this turn will be cancelled mid-stream."}],"source":{"kind":"user"}}}
{"type":"step/start","seq":2,"time":0,"data":{"turn":1,"step":1}}
{"type":"assistant/chunk","seq":3,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":4,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"text-delta","index":0,"text":"partial"}}}
{"type":"step/end","seq":5,"time":0,"data":{"turn":1,"step":1}}
{"type":"turn/end","seq":6,"time":0,"data":{"turn":1,"reason":{"kind":"aborted","reason":"session/cancel"}}}

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{"type":"session","version":1,"id":"00000000-0000-0000-0000-000000000000","createdAt":0}

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{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}"}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_message_chunk","content":{"type":"text","text":"partial"}}}}
{"jsonrpc":"2.0","id":3,"result":{"stopReason":"cancelled"}}

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{
"steps": [
{ "op": "initialize" },
{ "op": "newSession" },
{ "op": "promptExpectError", "text": "This prompt triggers a recorded provider error." }
]
}

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[
{ "kind": "throw", "chunks": [], "message": "simulated provider error (HTTP 401)", "code": "AUTH", "status": 401 }
]

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{"type":"session","version":1,"id":"{{sessionId}}","createdAt":0,"cwd":"{{cwd}}"}
{"type":"turn/start","seq":0,"time":0,"data":{"turn":1,"trigger":{"kind":"message","source":{"kind":"user"}}}}
{"type":"user/message","seq":1,"time":0,"data":{"content":[{"type":"text","text":"This prompt triggers a recorded provider error."}],"source":{"kind":"user"}}}
{"type":"step/start","seq":2,"time":0,"data":{"turn":1,"step":1}}
{"type":"step/end","seq":3,"time":0,"data":{"turn":1,"step":1}}
{"type":"error","seq":4,"time":0,"data":{"turn":1,"step":1,"message":"simulated provider error (HTTP 401)","code":"AUTH"}}
{"type":"turn/end","seq":5,"time":0,"data":{"turn":1,"reason":{"kind":"error","message":"simulated provider error (HTTP 401)","code":"AUTH"}}}

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{"type":"session","version":1,"id":"00000000-0000-0000-0000-000000000000","createdAt":0}

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{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}"}}
{"jsonrpc":"2.0","id":3,"error":{"code":-32603,"message":"Internal error: turn failed: simulated provider error (HTTP 401)"}}

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{
"steps": [
{ "op": "initialize" },
{ "op": "newSession" }
]
}

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{"type":"session","version":1,"id":"00000000-0000-0000-0000-000000000000","createdAt":0}

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{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}"}}

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{
"steps": [
{ "op": "initialize" },
{ "op": "newSession" },
{ "op": "prompt", "text": "Reply with exactly the word: ONE. No tools." },
{ "op": "prompt", "text": "Reply with exactly the word: TWO. No tools." }
]
}

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{"type":"session","version":1,"id":"{{sessionId}}","createdAt":0,"cwd":"{{cwd}}"}
{"type":"turn/start","seq":0,"time":0,"data":{"turn":1,"trigger":{"kind":"message","source":{"kind":"user"}}}}
{"type":"user/message","seq":1,"time":0,"data":{"content":[{"type":"text","text":"Reply with exactly the word: ONE. No tools."}],"source":{"kind":"user"}}}
{"type":"step/start","seq":2,"time":0,"data":{"turn":1,"step":1}}
{"type":"assistant/chunk","seq":3,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"reasoning"}}}
{"type":"assistant/chunk","seq":4,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":"The"}}}
{"type":"assistant/chunk","seq":5,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" user"}}}
{"type":"assistant/chunk","seq":6,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" wants"}}}
{"type":"assistant/chunk","seq":7,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" me"}}}
{"type":"assistant/chunk","seq":8,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" to"}}}
{"type":"assistant/chunk","seq":9,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" reply"}}}
{"type":"assistant/chunk","seq":10,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" with"}}}
{"type":"assistant/chunk","seq":11,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" exactly"}}}
{"type":"assistant/chunk","seq":12,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" the"}}}
{"type":"assistant/chunk","seq":13,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" word"}}}
{"type":"assistant/chunk","seq":14,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" \""}}}
{"type":"assistant/chunk","seq":15,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":"ONE"}}}
{"type":"assistant/chunk","seq":16,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":"\""}}}
{"type":"assistant/chunk","seq":17,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" and"}}}
{"type":"assistant/chunk","seq":18,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" use"}}}
{"type":"assistant/chunk","seq":19,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" no"}}}
{"type":"assistant/chunk","seq":20,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" tools"}}}
{"type":"assistant/chunk","seq":21,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":"."}}}
{"type":"assistant/chunk","seq":22,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":1,"blockType":"text"}}}
{"type":"assistant/chunk","seq":23,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"text-delta","index":1,"text":"ONE"}}}
{"type":"assistant/chunk","seq":24,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"reasoning","text":"The user wants me to reply with exactly the word \"ONE\" and use no tools."}}}}
{"type":"assistant/chunk","seq":25,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":1,"block":{"type":"text","text":"ONE"}}}}
{"type":"assistant/chunk","seq":26,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":106,"outputTokens":20,"cacheReadTokens":768,"reasoningTokens":18}}}}
{"type":"assistant/chunk","seq":27,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}
{"type":"assistant/message","seq":28,"time":0,"data":{"turn":1,"step":1,"content":[{"type":"reasoning","text":"The user wants me to reply with exactly the word \"ONE\" and use no tools."},{"type":"text","text":"ONE"}]}}
{"type":"usage","seq":29,"time":0,"data":{"turn":1,"step":1,"usage":{"inputTokens":106,"outputTokens":20,"cacheReadTokens":768,"reasoningTokens":18}}}
{"type":"step/end","seq":30,"time":0,"data":{"turn":1,"step":1}}
{"type":"turn/end","seq":31,"time":0,"data":{"turn":1,"reason":{"kind":"completed"}}}
{"type":"turn/start","seq":32,"time":0,"data":{"turn":2,"trigger":{"kind":"message","source":{"kind":"user"}}}}
{"type":"user/message","seq":33,"time":0,"data":{"content":[{"type":"text","text":"Reply with exactly the word: TWO. No tools."}],"source":{"kind":"user"}}}
{"type":"step/start","seq":34,"time":0,"data":{"turn":2,"step":1}}
{"type":"assistant/chunk","seq":35,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"reasoning"}}}
{"type":"assistant/chunk","seq":36,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":"The"}}}
{"type":"assistant/chunk","seq":37,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" user"}}}
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{"type":"assistant/chunk","seq":41,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" reply"}}}
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{"type":"assistant/chunk","seq":46,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" \""}}}
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{"type":"assistant/chunk","seq":57,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"reasoning","text":"The user wants me to reply with exactly the word \"TWO\" and no tools."}}}}
{"type":"assistant/chunk","seq":58,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"block-end","index":1,"block":{"type":"text","text":"TWO"}}}}
{"type":"assistant/chunk","seq":59,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":122,"outputTokens":21,"cacheReadTokens":768,"reasoningTokens":18}}}}
{"type":"assistant/chunk","seq":60,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}
{"type":"assistant/message","seq":61,"time":0,"data":{"turn":2,"step":1,"content":[{"type":"reasoning","text":"The user wants me to reply with exactly the word \"TWO\" and no tools."},{"type":"text","text":"TWO"}]}}
{"type":"usage","seq":62,"time":0,"data":{"turn":2,"step":1,"usage":{"inputTokens":122,"outputTokens":21,"cacheReadTokens":768,"reasoningTokens":18}}}
{"type":"step/end","seq":63,"time":0,"data":{"turn":2,"step":1}}
{"type":"turn/end","seq":64,"time":0,"data":{"turn":2,"reason":{"kind":"completed"}}}

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{"type":"session","version":1,"id":"803f0752-a3db-4394-9c93-3b6fcd410664","createdAt":1781834688308,"cwd":"/tmp/acp-snap-cwd-QVaaKH"}
{"type":"turn/start","seq":0,"time":1781834688311,"data":{"turn":1,"trigger":{"kind":"message","source":{"kind":"user"}}}}
{"type":"user/message","seq":1,"time":1781834688312,"data":{"content":[{"type":"text","text":"Reply with exactly the word: ONE. No tools."}],"source":{"kind":"user"}}}
{"type":"step/start","seq":2,"time":1781834688312,"data":{"turn":1,"step":1}}
{"type":"assistant/chunk","seq":3,"time":1781834688735,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"reasoning"}}}
{"type":"assistant/chunk","seq":4,"time":1781834688735,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":"The"}}}
{"type":"assistant/chunk","seq":5,"time":1781834688864,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" user"}}}
{"type":"assistant/chunk","seq":6,"time":1781834688889,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" wants"}}}
{"type":"assistant/chunk","seq":7,"time":1781834688890,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" me"}}}
{"type":"assistant/chunk","seq":8,"time":1781834688890,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" to"}}}
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{"type":"turn/end","seq":190,"time":1781834687489,"data":{"turn":1,"reason":{"kind":"completed"}}}

View File

@@ -0,0 +1,106 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}"}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"The"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" user"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" wants"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" me"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" to"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":":\n"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"1"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"."}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" Append"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" a"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" second"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" line"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" containing"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" \""}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"WOR"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"LD"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"\""}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" to"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" greeting"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":".txt"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"\n"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"2"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"."}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" Read"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" the"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" file"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" back"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" with"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" `"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"cat"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" greeting"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":".txt"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"`"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" to"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" confirm"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"\n"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"3"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"."}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" Reply"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" with"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" \""}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"D"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"ONE"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"\"\n\n"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"But"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" they"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" want"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" \""}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"a"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" single"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" bash"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" call"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" per"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" action"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"\""}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" -"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" so"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" I"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"'ll"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" do"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" two"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" separate"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" bash"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" calls"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":":"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" one"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" for"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" app"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"ending"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":","}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" one"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" for"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" reading"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"."}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"call_00_r3tvHl3fD0tmV0GKQt032338","title":"echo 'WORLD' >> greeting.txt","kind":"execute","status":"in_progress","rawInput":"echo 'WORLD' >> greeting.txt","content":[{"type":"content","content":{"type":"text","text":"Append WORLD line to greeting.txt"}}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call_update","toolCallId":"call_00_r3tvHl3fD0tmV0GKQt032338","status":"completed","content":[{"type":"content","content":{"type":"text","text":"```console\n(no output)\n```"}}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"App"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"ended"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" successfully"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"."}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" Now"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" read"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" the"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" file"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"."}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"call_00_SkCP8dgN8aCbLiZDcYa68316","title":"cat greeting.txt","kind":"execute","status":"in_progress","rawInput":"cat greeting.txt","content":[{"type":"content","content":{"type":"text","text":"Read greeting.txt to confirm"}}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call_update","toolCallId":"call_00_SkCP8dgN8aCbLiZDcYa68316","status":"completed","content":[{"type":"content","content":{"type":"text","text":"```console\nhello\nWORLD\n```"}}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"The"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" file"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" now"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" has"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" two"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" lines"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"."}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" I"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"'ll"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" reply"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" with"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" D"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"ONE"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"."}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_message_chunk","content":{"type":"text","text":"D"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_message_chunk","content":{"type":"text","text":"ONE"}}}}
{"jsonrpc":"2.0","id":3,"result":{"stopReason":"end_turn"}}

37
examples/base-core.yml Normal file
View File

@@ -0,0 +1,37 @@
# Providerless provider/tool core — everything the model and tools need EXCEPT
# an LLM adapter. Split out of base.yml so two consumers can share it:
# - base.yml = base-core.yml + the real llm-deepseek adapter (the demos).
# - acp-agent/cordis.snapshot.yml = base-core.yml + llm-replay (keyless
# snapshot replay — base.yml can't be reused there because llm-deepseek's
# apply() throws without DEEPSEEK_API_KEY).
#
# Plugin entries use package names (resolved from node_modules), so they are
# insensitive to the baseUrl reset that plugin-include performs per file.
- id: llm
name: '@deepseek-ai/dsh-llm'
- id: sessions
name: '@deepseek-ai/dsh-session'
- id: system-prompt
name: '@deepseek-ai/dsh-system-prompt'
- id: tools
name: '@deepseek-ai/dsh-tools'
- id: agents
name: '@deepseek-ai/dsh-agent'
# Dev-mode event-contract assertions + session-log freeze (off in prod).
- id: invariants
name: '@deepseek-ai/dsh-invariants'
# Bash execution: the local executor implementation + the tool schemas.
- id: bash
name: '@deepseek-ai/dsh-bash-local'
config:
timeoutMs: 60000
- id: tool-bash
name: '@deepseek-ai/dsh-tool-bash'

View File

@@ -1,7 +1,12 @@
# Shared provider/tool core for the example agents, loaded via a nested
# @cordisjs/plugin-include from each example's cordis.yml. Contains everything
# the model and tools need; each example adds its own infra (logger/timer/hmr),
# its agent-loop config (the examples disagree — see below), and its UI plugin.
# @cordisjs/plugin-include from each example's cordis.yml. This is
# base-core.yml (the providerless core: llm, sessions, system-prompt, tools,
# agents, invariants, bash-local, tool-bash) PLUS the real llm-deepseek adapter.
#
# The providerless core lives in base-core.yml so the keyless snapshot-replay
# config (acp-agent/cordis.snapshot.yml) can reuse it with llm-replay in place
# of the adapter — it can't reuse THIS file, because llm-deepseek's apply()
# throws without DEEPSEEK_API_KEY.
#
# Deliberately EXCLUDES:
# - the console logger: it writes to stdout, which the acp-agent reserves for
@@ -12,28 +17,13 @@
# pre-create NONE (ACP session/new creates agents on demand). So each example
# declares agent-loop with its own `agents` list.
#
# Plugin entries here use package names (resolved from node_modules), so they
# are insensitive to the baseUrl reset that plugin-include performs per file.
# Requires DEEPSEEK_API_KEY (and optionally DEEPSEEK_BASE_URL) in the env.
- id: llm
name: '@deepseek-ai/dsh-llm'
- id: sessions
name: '@deepseek-ai/dsh-session'
- id: system-prompt
name: '@deepseek-ai/dsh-system-prompt'
- id: tools
name: '@deepseek-ai/dsh-tools'
- id: agents
name: '@deepseek-ai/dsh-agent'
# Dev-mode event-contract assertions + session-log freeze (off in prod).
- id: invariants
name: '@deepseek-ai/dsh-invariants'
# The providerless core (resolved relative to THIS file's directory).
- id: base-core
name: '@cordisjs/plugin-include'
config:
path: './base-core.yml'
# The DeepSeek adapter. Swap to '@deepseek-ai/dsh-llm-pi-ai' for the pi-ai-backed
# twin (same config shape; `reasoning: high` replaces thinking/reasoningEffort).
@@ -45,12 +35,3 @@
models:
- deepseek-v4-flash
- deepseek-v4-pro
# Bash execution: the local executor implementation + the tool schemas.
- id: bash
name: '@deepseek-ai/dsh-bash-local'
config:
timeoutMs: 60000
- id: tool-bash
name: '@deepseek-ai/dsh-tool-bash'