Merge command and goal feedback fixes into goal commands

# Conflicts:
#	.agents/notes/implemented/feature/2026-07-19-model-facing-goal-tools.i18n.yaml
#	docs/glossary.md
This commit is contained in:
Tianyi Cui
2026-07-20 18:04:03 +08:00
70 changed files with 980 additions and 1096 deletions

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# Replay counterpart to goal.cordis.yml; only the live model is replaced.
- id: base
name: '@cordisjs/plugin-include'
config:
path: ./goal.cordis.yml
patches:
- id: llm-deepseek
name: '@deepseek-ai/dsh-llm-deepseek'
disabled: true
- insert:
- id: llm-replay
name: '@deepseek-ai/dsh-llm-replay'
config:
providers:
- id: deepseek
name: DeepSeek
models:
- id: deepseek-v4-flash
- id: deepseek-v4-pro

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# Add the persisted same-session goal stack to the shipped ACP app.
- id: base
name: '@cordisjs/plugin-include'
config:
path: ./cordis.yml
patches:
- insert:
- id: goal
name: '@deepseek-ai/dsh-goal'
- id: tool-goal
name: '@deepseek-ai/dsh-tool-goal'
- id: goal-session
name: '@deepseek-ai/dsh-goal-session'

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{
"steps": [
{ "op": "initialize" },
{ "op": "newSession" },
{
"op": "promptAndWaitForAgentMessage",
"text": "Create a durable two-round goal for the ACP snapshot, inspect it, then report readiness.",
"waitForText": "partial"
},
{ "op": "cancel" }
]
}

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[
{
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "tool-call" },
{ "type": "tool-call-delta", "index": 0, "id": "call_goal_create", "name": "create_goal", "argumentsDelta": "{\"objective\":\"Finish the ACP goal-session snapshot proof\",\"max_goal_rounds\":2}" },
{ "type": "block-end", "index": 0, "block": { "type": "tool-call", "id": "call_goal_create", "name": "create_goal", "arguments": "{\"objective\":\"Finish the ACP goal-session snapshot proof\",\"max_goal_rounds\":2}" } },
{ "type": "usage", "usage": { "inputTokens": 20, "outputTokens": 8 } },
{ "type": "finish", "reason": { "kind": "tool-calls" } }
]
},
{
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "tool-call" },
{ "type": "tool-call-delta", "index": 0, "id": "call_goal_get", "name": "get_goal", "argumentsDelta": "{}" },
{ "type": "block-end", "index": 0, "block": { "type": "tool-call", "id": "call_goal_get", "name": "get_goal", "arguments": "{}" } },
{ "type": "usage", "usage": { "inputTokens": 30, "outputTokens": 4 } },
{ "type": "finish", "reason": { "kind": "tool-calls" } }
]
},
{
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "text" },
{ "type": "text-delta", "index": 0, "text": "GOAL READY" },
{ "type": "block-end", "index": 0, "block": { "type": "text", "text": "GOAL READY" } },
{ "type": "usage", "usage": { "inputTokens": 35, "outputTokens": 2 } },
{ "type": "finish", "reason": { "kind": "stop" } }
]
},
{
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "text" },
{ "type": "text-delta", "index": 0, "text": "GOAL ROUND ONE" },
{ "type": "block-end", "index": 0, "block": { "type": "text", "text": "GOAL ROUND ONE" } },
{ "type": "usage", "usage": { "inputTokens": 40, "outputTokens": 3 } },
{ "type": "finish", "reason": { "kind": "stop" } }
]
},
{ "kind": "hang" }
]

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@@ -0,0 +1,53 @@
{"type":"session","version":0,"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":"Create a durable two-round goal for the ACP snapshot, inspect it, then report readiness."}],"source":{"kind":"user"}},"surfaceOp":"append"}
{"type":"step/start","seq":2,"time":0,"data":{"turn":1,"step":1}}
{"type":"request/header","seq":3,"time":0,"data":{"header":{"config":{"provider":"deepseek","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"assistant/chunk","seq":4,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}
{"type":"assistant/chunk","seq":5,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":0,"id":"call_goal_create","name":"create_goal","argumentsDelta":"{\"objective\":\"Finish the ACP goal-session snapshot proof\",\"max_goal_rounds\":2}"}}}
{"type":"assistant/chunk","seq":6,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_goal_create","name":"create_goal","arguments":"{\"objective\":\"Finish the ACP goal-session snapshot proof\",\"max_goal_rounds\":2}"}}}}
{"type":"assistant/chunk","seq":7,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":20,"outputTokens":8}}}}
{"type":"assistant/chunk","seq":8,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":9,"time":0,"data":{"turn":1,"step":1,"content":[{"type":"tool-call","id":"call_goal_create","name":"create_goal","arguments":"{\"objective\":\"Finish the ACP goal-session snapshot proof\",\"max_goal_rounds\":2}"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":20,"outputTokens":8}},"sourceEventSeqs":[4,5,6,7,8],"surfaceOp":"append"}
{"type":"tool/call","seq":10,"time":0,"data":{"turn":1,"step":1,"callId":"call_goal_create","name":"create_goal","arguments":"{\"objective\":\"Finish the ACP goal-session snapshot proof\",\"max_goal_rounds\":2}"}}
{"type":"tool/result","seq":11,"time":0,"data":{"turn":1,"step":1,"callId":"call_goal_create","content":[{"type":"text","text":"{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":1,\"objective\":\"Finish the ACP goal-session snapshot proof\",\"phase\":\"active\",\"roundsStarted\":0,\"maxGoalRounds\":2},\"activation\":\"armed\"}"}],"isError":false},"sourceEventSeqs":[10],"surfaceOp":"append"}
{"type":"context/message","seq":12,"time":0,"data":{"content":[{"type":"text","text":"<goal_state>{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":1,\"objective\":\"Finish the ACP goal-session snapshot proof\",\"phase\":\"active\",\"maxGoalRounds\":2},\"roundsStarted\":0,\"createdAt\":0,\"updatedAt\":0}</goal_state>"}],"source":{"kind":"goal","goalId":"goal-{{sessionId}}","revision":1,"round":0},"envelope":"raw","meta":{"kind":"goal/change","version":1,"operation":"create","goal":{"id":"goal-{{sessionId}}","revision":1,"objective":"Finish the ACP goal-session snapshot proof","phase":"active","maxGoalRounds":2},"roundsStarted":0,"createdAt":0,"updatedAt":0}},"surfaceOp":"append"}
{"type":"step/end","seq":13,"time":0,"data":{"turn":1,"step":1}}
{"type":"step/start","seq":14,"time":0,"data":{"turn":1,"step":2}}
{"type":"assistant/chunk","seq":15,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}
{"type":"assistant/chunk","seq":16,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"tool-call-delta","index":0,"id":"call_goal_get","name":"get_goal","argumentsDelta":"{}"}}}
{"type":"assistant/chunk","seq":17,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_goal_get","name":"get_goal","arguments":"{}"}}}}
{"type":"assistant/chunk","seq":18,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"usage","usage":{"inputTokens":30,"outputTokens":4}}}}
{"type":"assistant/chunk","seq":19,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":20,"time":0,"data":{"turn":1,"step":2,"content":[{"type":"tool-call","id":"call_goal_get","name":"get_goal","arguments":"{}"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":30,"outputTokens":4}},"sourceEventSeqs":[15,16,17,18,19],"surfaceOp":"append"}
{"type":"tool/call","seq":21,"time":0,"data":{"turn":1,"step":2,"callId":"call_goal_get","name":"get_goal","arguments":"{}"}}
{"type":"tool/result","seq":22,"time":0,"data":{"turn":1,"step":2,"callId":"call_goal_get","content":[{"type":"text","text":"{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":1,\"objective\":\"Finish the ACP goal-session snapshot proof\",\"phase\":\"active\",\"roundsStarted\":0,\"maxGoalRounds\":2},\"activation\":\"armed\"}"}],"isError":false},"sourceEventSeqs":[21],"surfaceOp":"append"}
{"type":"step/end","seq":23,"time":0,"data":{"turn":1,"step":2}}
{"type":"step/start","seq":24,"time":0,"data":{"turn":1,"step":3}}
{"type":"assistant/chunk","seq":25,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":26,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"text-delta","index":0,"text":"GOAL READY"}}}
{"type":"assistant/chunk","seq":27,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"block-end","index":0,"block":{"type":"text","text":"GOAL READY"}}}}
{"type":"assistant/chunk","seq":28,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"usage","usage":{"inputTokens":35,"outputTokens":2}}}}
{"type":"assistant/chunk","seq":29,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}
{"type":"assistant/message","seq":30,"time":0,"data":{"turn":1,"step":3,"content":[{"type":"text","text":"GOAL READY"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":35,"outputTokens":2}},"sourceEventSeqs":[25,26,27,28,29],"surfaceOp":"append"}
{"type":"step/end","seq":31,"time":0,"data":{"turn":1,"step":3}}
{"type":"turn/end","seq":32,"time":0,"data":{"turn":1,"reason":{"kind":"completed"}}}
{"type":"turn/start","seq":33,"time":0,"data":{"turn":2,"trigger":{"kind":"message","source":{"kind":"goal","goalId":"goal-{{sessionId}}","revision":1,"round":1}}}}
{"type":"user/message","seq":34,"time":0,"data":{"content":[{"type":"text","text":"<goal_round>\nObjective: \"Finish the ACP goal-session snapshot proof\"\nRound: 1/2\n\nContinue working toward the objective in this same session. Treat the current workspace, tool results, and durable session state as authoritative; inspect them instead of assuming earlier narration is still current. Make concrete progress and verify the result. Before claiming completion, gather evidence that the whole objective is achieved, read the current goal, and mark it complete. If work remains, leave the goal active for the next round. Follow the configured goal-tool policy before reporting a blocker.\n</goal_round>"}],"source":{"kind":"goal","goalId":"goal-{{sessionId}}","revision":1,"round":1}},"surfaceOp":"append"}
{"type":"step/start","seq":35,"time":0,"data":{"turn":2,"step":1}}
{"type":"assistant/chunk","seq":36,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":37,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"text-delta","index":0,"text":"GOAL ROUND ONE"}}}
{"type":"assistant/chunk","seq":38,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"text","text":"GOAL ROUND ONE"}}}}
{"type":"assistant/chunk","seq":39,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":40,"outputTokens":3}}}}
{"type":"assistant/chunk","seq":40,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}
{"type":"assistant/message","seq":41,"time":0,"data":{"turn":2,"step":1,"content":[{"type":"text","text":"GOAL ROUND ONE"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":40,"outputTokens":3}},"sourceEventSeqs":[36,37,38,39,40],"surfaceOp":"append"}
{"type":"step/end","seq":42,"time":0,"data":{"turn":2,"step":1}}
{"type":"turn/end","seq":43,"time":0,"data":{"turn":2,"reason":{"kind":"completed"}}}
{"type":"turn/start","seq":44,"time":0,"data":{"turn":3,"trigger":{"kind":"message","source":{"kind":"goal","goalId":"goal-{{sessionId}}","revision":1,"round":2}}}}
{"type":"user/message","seq":45,"time":0,"data":{"content":[{"type":"text","text":"<goal_round>\nObjective: \"Finish the ACP goal-session snapshot proof\"\nRound: 2/2\n\nContinue working toward the objective in this same session. Treat the current workspace, tool results, and durable session state as authoritative; inspect them instead of assuming earlier narration is still current. Make concrete progress and verify the result. Before claiming completion, gather evidence that the whole objective is achieved, read the current goal, and mark it complete. If work remains, leave the goal active for the next round. Follow the configured goal-tool policy before reporting a blocker.\n</goal_round>"}],"source":{"kind":"goal","goalId":"goal-{{sessionId}}","revision":1,"round":2}},"surfaceOp":"append"}
{"type":"step/start","seq":46,"time":0,"data":{"turn":3,"step":1}}
{"type":"assistant/chunk","seq":47,"time":0,"data":{"turn":3,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":48,"time":0,"data":{"turn":3,"step":1,"chunk":{"type":"text-delta","index":0,"text":"partial"}}}
{"type":"context/message","seq":49,"time":0,"data":{"content":[{"type":"text","text":"<goal_state>{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":2,\"objective\":\"Finish the ACP goal-session snapshot proof\",\"phase\":\"paused\",\"maxGoalRounds\":2},\"roundsStarted\":2,\"createdAt\":0,\"updatedAt\":0}</goal_state>"}],"source":{"kind":"goal","goalId":"goal-{{sessionId}}","revision":2,"round":0},"envelope":"raw","meta":{"kind":"goal/change","version":1,"operation":"pause","goal":{"id":"goal-{{sessionId}}","revision":2,"objective":"Finish the ACP goal-session snapshot proof","phase":"paused","maxGoalRounds":2},"roundsStarted":2,"createdAt":0,"updatedAt":0}},"surfaceOp":"append"}
{"type":"step/end","seq":50,"time":0,"data":{"turn":3,"step":1}}
{"type":"turn/end","seq":51,"time":0,"data":{"turn":3,"reason":{"kind":"aborted","reason":"session/cancel"}}}

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{"type":"session","version":0,"id":"goal-session-placeholder","createdAt":0,"cwd":"/tmp/goal-session-placeholder"}

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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}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"call_goal_create","title":"Create goal","kind":"other","status":"in_progress","rawInput":"Finish the ACP goal-session snapshot proof"}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call_update","toolCallId":"call_goal_create","status":"completed","content":[{"type":"content","content":{"type":"text","text":"{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":1,\"objective\":\"Finish the ACP goal-session snapshot proof\",\"phase\":\"active\",\"roundsStarted\":0,\"maxGoalRounds\":2},\"activation\":\"armed\"}"}}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"call_goal_get","title":"Read current goal","kind":"read","status":"in_progress"}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call_update","toolCallId":"call_goal_get","status":"completed","content":[{"type":"content","content":{"type":"text","text":"{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":1,\"objective\":\"Finish the ACP goal-session snapshot proof\",\"phase\":\"active\",\"roundsStarted\":0,\"maxGoalRounds\":2},\"activation\":\"armed\"}"}}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_message_chunk","content":{"type":"text","text":"GOAL READY"}}}}
{"jsonrpc":"2.0","id":3,"result":{"stopReason":"end_turn"}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_message_chunk","content":{"type":"text","text":"GOAL ROUND ONE"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_message_chunk","content":{"type":"text","text":"partial"}}}}

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import { readFile, writeFile } from 'node:fs/promises'
import { dirname, join } from 'node:path'
import { fileURLToPath } from 'node:url'
import {
normalizeSessionLog,
normalizeStdout,
runScenario,
scrubRequestHeaders,
type AgentUnderTest,
type InputScript,
type NormalizeContext,
} from '@deepseek-ai/dsh-acp-snapshot'
import { foldGoal } from '@deepseek-ai/dsh-goal'
import type { SessionEvent } from '@deepseek-ai/dsh-session'
import { describe, expect, it } from 'vitest'
// This lifecycle proof has goal-specific timestamp normalization and semantic
// assertions, so it owns a separate snapshot root from the generic ACP suite.
const scenarioDir = join(dirname(fileURLToPath(import.meta.url)), 'goal-snapshots/goal-session')
const fixtureFile = join(scenarioDir, 'session.jsonl')
const overrideFile = join(scenarioDir, 'replay.override.json')
const stdoutExpected = join(scenarioDir, 'stdout.expected.jsonl')
const sessionExpected = join(scenarioDir, 'session.expected.jsonl')
const refreshing = process.env.DSH_SNAPSHOT === 'refresh'
const agent: AgentUnderTest = {
binScript: fileURLToPath(new URL('../../../packages/examples/acp-demo/src/bin.ts', import.meta.url)),
configPath: fileURLToPath(new URL('../goal.cordis.yml', import.meta.url)),
tsconfigPath: fileURLToPath(new URL('../../../tsconfig.json', import.meta.url)),
}
interface JsonObject {
[key: string]: unknown
}
/** Parse non-empty records from one JSONL artifact. */
function parseJsonl(content: string): JsonObject[] {
return content.split('\n').filter(line => line.trim().length > 0)
.map(line => JSON.parse(line) as JsonObject)
}
/** Zero durable goal timestamps inside metadata records and rendered XML JSON. */
function normalizeGoalTimestamps(value: unknown): unknown {
if (typeof value === 'string') {
return value.replace(/("(?:createdAt|updatedAt|clearedAt)":)\d+/g, '$10')
}
if (Array.isArray(value)) return value.map(normalizeGoalTimestamps)
if (value !== null && typeof value === 'object') {
return Object.fromEntries(Object.entries(value).map(([key, item]) => [
key,
['createdAt', 'updatedAt', 'clearedAt'].includes(key) && typeof item === 'number'
? 0
: normalizeGoalTimestamps(item),
]))
}
return value
}
/** Normalize one persisted goal log after the shared snapshot scrubbers. */
function normalizeGoalLog(content: string, context: NormalizeContext): string {
return parseJsonl(scrubRequestHeaders(normalizeSessionLog(content, context)))
.map(record => JSON.stringify(normalizeGoalTimestamps(record)))
.join('\n') + '\n'
}
describe('ACP same-session goal snapshot', () => {
it('runs exact automatic rounds in the shipped application and persists cancellation', async () => {
const input = JSON.parse(await readFile(join(scenarioDir, 'input.json'), 'utf8')) as InputScript
const result = await runScenario(input, {
agent,
mode: 'replay',
fixtureFile,
overrideFile,
configPath: agent.configPath,
})
expect(result.stderr).toBe('')
expect(result.sessionLogs).toHaveLength(1)
const log = result.sessionLogs[0]
if (log === undefined) throw new Error('goal snapshot did not persist its ACP session')
const records = parseJsonl(log.content)
const events = records.slice(1) as unknown as SessionEvent[]
const calls = events.filter(event => event.type === 'tool/call').map(event => event.data.name)
expect(calls).toEqual(['create_goal', 'get_goal'])
const rounds = events.flatMap(event => event.type === 'user/message' && event.data.source.kind === 'goal'
? [event.data.source.round]
: [])
expect(rounds).toEqual([1, 2])
expect(foldGoal(events)).toMatchObject({
goal: {
objective: 'Finish the ACP goal-session snapshot proof',
phase: 'paused',
revision: 2,
maxGoalRounds: 2,
},
roundsStarted: 2,
})
const context: NormalizeContext = {
sessionIds: [result.sessionId, log.id].filter((id): id is string => id !== undefined),
cwd: result.cwd,
}
const stdout = normalizeStdout(result.rawStdout, context)
const session = normalizeGoalLog(log.content, context)
if (refreshing) {
await Promise.all([
writeFile(stdoutExpected, stdout),
writeFile(sessionExpected, session),
])
}
expect(stdout).toBe(await readFile(stdoutExpected, 'utf8'))
expect(session).toBe(await readFile(sessionExpected, 'utf8'))
})
})

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@@ -1,25 +0,0 @@
# Test-only composition: one human turn creates a goal, then the driver runs two rounds.
- id: scripted-llm
name: './scripted-llm.ts'
- id: bash
name: '@deepseek-ai/dsh-bash-local'
- id: goal
name: '@deepseek-ai/dsh-goal'
- id: tool-goal
name: '@deepseek-ai/dsh-tool-goal'
- id: goal-session
name: '@deepseek-ai/dsh-goal-session'
- id: stdio-agent
name: '@deepseek-ai/dsh-stdio-demo'
config:
provider: goal-session-script
model: goal-session-script
persona: 'Execute the deterministic same-session goal-round proof.'
welcome: 'goal-session e2e ready.'
persistenceRoot: './.sessions'
workspaceContext: false

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@@ -1,104 +0,0 @@
/** Deterministic model for the same-session goal-round composition proof. */
import type { Context } from 'cordis'
import { CallId, LlmAdapter } from '@deepseek-ai/dsh-llm'
import type { GenerateOptions, Message, StreamChunk } from '@deepseek-ai/dsh-llm'
interface GoalState {
readonly id: string
readonly revision: number
}
/** Text and position of the latest human or goal-round prompt. */
function latestPrompt(messages: readonly Message[]): { index: number; text: string } {
for (let index = messages.length - 1; index >= 0; index -= 1) {
const message = messages[index]
if (message?.role !== 'user') continue
const text = message.content
.filter(block => block.type === 'text' && !block.text.startsWith('<goal_state>'))
.map(block => block.type === 'text' ? block.text : '')
.join('\n')
if (text.includes('<goal_round>') || text === 'start') return { index, text }
}
return { index: -1, text: '' }
}
/** Parse the latest durable goal snapshot retained in request history. */
function latestGoal(messages: readonly Message[]): GoalState | undefined {
for (const message of [...messages].reverse()) {
for (const block of [...message.content].reverse()) {
if (block.type !== 'text' || !block.text.startsWith('<goal_state>')) continue
const json = block.text.slice('<goal_state>'.length, -'</goal_state>'.length)
const value = JSON.parse(json) as { goal?: GoalState }
if (value.goal !== undefined) return value.goal
}
}
return undefined
}
/** Tool names already recorded after the prompt that owns this physical turn. */
function callsAfter(messages: readonly Message[], index: number): string[] {
return messages.slice(index + 1).flatMap(message => message.content)
.filter(block => block.type === 'tool-call')
.map(block => block.type === 'tool-call' ? block.name : '')
}
/** Emit one deterministic tool call, optionally with visible progress text. */
async function* toolCall(name: string, args: object, text?: string): AsyncIterable<StreamChunk> {
let index = 0
if (text !== undefined) {
yield { type: 'block-start', index, blockType: 'text' }
yield { type: 'text-delta', index, text }
yield { type: 'block-end', index, block: { type: 'text', text } }
index += 1
}
const id = CallId(`call-${name}`)
const raw = JSON.stringify(args)
yield { type: 'block-start', index, blockType: 'tool-call' }
yield { type: 'tool-call-delta', index, id, name, argumentsDelta: raw }
yield { type: 'block-end', index, block: { type: 'tool-call', id, name, arguments: raw } }
yield { type: 'finish', reason: { kind: 'tool-calls' } }
}
/** Emit one terminal text response. */
async function* textReply(text: string): AsyncIterable<StreamChunk> {
yield { type: 'block-start', index: 0, blockType: 'text' }
yield { type: 'text-delta', index: 0, text }
yield { type: 'block-end', index: 0, block: { type: 'text', text } }
yield { type: 'finish', reason: { kind: 'stop' } }
}
class GoalSessionScriptAdapter extends LlmAdapter {
override stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
const prompt = latestPrompt(options.messages)
const calls = callsAfter(options.messages, prompt.index)
if (prompt.text === 'start' && !calls.includes('create_goal')) {
return toolCall('create_goal', {
objective: 'Complete two deterministic same-session rounds',
max_goal_rounds: 2,
})
}
if (prompt.text === 'start') return textReply('GOAL CREATED')
if (prompt.text.includes('Round: 1/2')) return textReply('ROUND ONE')
if (prompt.text.includes('Round: 2/2') && !calls.includes('get_goal')) {
return toolCall('get_goal', {})
}
if (prompt.text.includes('Round: 2/2') && !calls.includes('update_goal')) {
const goal = latestGoal(options.messages)
if (goal === undefined) throw new Error('scripted goal state missing')
return toolCall('update_goal', {
goal_id: goal.id,
revision: goal.revision,
action: 'complete',
}, 'ROUND TWO COMPLETE')
}
return textReply('UNEXPECTED GOAL-SESSION REQUEST')
}
}
export const name = 'goal-session-scripted-llm'
export const inject = ['llm']
export function apply(ctx: Context): void {
ctx.llm.registerAdapter(['goal-session-script'], new GoalSessionScriptAdapter())
}

View File

@@ -1,26 +0,0 @@
# Test-only composition: drive all three goal tools through a real root agent.
- id: scripted-llm
name: './scripted-llm.ts'
- id: bash
name: '@deepseek-ai/dsh-bash-local'
- id: goal
name: '@deepseek-ai/dsh-goal'
config:
defaultMaxGoalRounds: 11
- id: tool-goal
name: '@deepseek-ai/dsh-tool-goal'
config:
blockedAfterConsecutiveRounds: 3
- id: stdio-agent
name: '@deepseek-ai/dsh-stdio-demo'
config:
provider: goal-script
model: goal-script
persona: 'Execute the deterministic goal-tool composition test.'
welcome: 'goal-tools e2e ready.'
persistenceRoot: './.sessions'
workspaceContext: false

View File

@@ -1,88 +0,0 @@
/** Deterministic adapter that creates, reads, pauses, then acknowledges one goal. */
import type { Context } from 'cordis'
import { CallId, LlmAdapter } from '@deepseek-ai/dsh-llm'
import type { GenerateOptions, Message, StreamChunk } from '@deepseek-ai/dsh-llm'
interface GoalState {
readonly id: string
readonly revision: number
}
/** Text from the latest ordinary user message, excluding raw goal-state context. */
function latestPrompt(messages: readonly Message[]): { index: number; text: string } {
for (let index = messages.length - 1; index >= 0; index -= 1) {
const message = messages[index]
if (message?.role !== 'user') continue
const text = message.content
.filter(block => block.type === 'text' && !block.text.startsWith('<goal_state>'))
.map(block => block.type === 'text' ? block.text : '')
.join('\n')
if (text.length > 0) return { index, text }
}
return { index: -1, text: '' }
}
/** Parse the latest domain snapshot rendered into history. */
function latestGoal(messages: readonly Message[]): GoalState | undefined {
for (const message of [...messages].reverse()) {
for (const block of [...message.content].reverse()) {
if (block.type !== 'text' || !block.text.startsWith('<goal_state>')) continue
const json = block.text.slice('<goal_state>'.length, -'</goal_state>'.length)
const value = JSON.parse(json) as { goal?: GoalState }
if (value.goal !== undefined) return value.goal
}
}
return undefined
}
/** Names of tool calls recorded after the latest ordinary prompt. */
function callsAfter(messages: readonly Message[], index: number): string[] {
return messages.slice(index + 1).flatMap(message => message.content)
.filter(block => block.type === 'tool-call')
.map(block => block.type === 'tool-call' ? block.name : '')
}
/** Emit one tool-call response. */
async function* toolCall(name: string, args: object): AsyncIterable<StreamChunk> {
const id = CallId(`call-${name}`)
const raw = JSON.stringify(args)
yield { type: 'block-start', index: 0, blockType: 'tool-call' }
yield { type: 'tool-call-delta', index: 0, id, name, argumentsDelta: raw }
yield { type: 'block-end', index: 0, block: { type: 'tool-call', id, name, arguments: raw } }
yield { type: 'finish', reason: { kind: 'tool-calls' } }
}
/** Emit one terminal text response. */
async function* textReply(text: string): AsyncIterable<StreamChunk> {
yield { type: 'block-start', index: 0, blockType: 'text' }
yield { type: 'text-delta', index: 0, text }
yield { type: 'block-end', index: 0, block: { type: 'text', text } }
yield { type: 'finish', reason: { kind: 'stop' } }
}
class GoalScriptAdapter extends LlmAdapter {
override stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
const prompt = latestPrompt(options.messages)
const calls = callsAfter(options.messages, prompt.index)
if (prompt.text === 'start' && !calls.includes('create_goal')) {
return toolCall('create_goal', { objective: 'Finish the composed goal-tool proof', max_goal_rounds: 7 })
}
if (prompt.text === 'start' && !calls.includes('get_goal')) return toolCall('get_goal', {})
if (prompt.text === 'start') return textReply('GOAL CREATED')
if (prompt.text === 'pause' && !calls.includes('update_goal')) {
const goal = latestGoal(options.messages)
if (goal === undefined) throw new Error('scripted goal state missing')
return toolCall('update_goal', { goal_id: goal.id, revision: goal.revision, action: 'pause' })
}
if (prompt.text === 'pause') return textReply('GOAL PAUSED')
return textReply('UNEXPECTED PROMPT')
}
}
export const name = 'goal-tool-scripted-llm'
export const inject = ['llm']
export function apply(ctx: Context): void {
ctx.llm.registerAdapter(['goal-script'], new GoalScriptAdapter())
}

View File

@@ -0,0 +1,12 @@
# Replay counterpart to goal.cordis.yml; only the live model is replaced.
- id: base
name: '@cordisjs/plugin-include'
config:
path: ./goal.cordis.yml
patches:
- id: llm-deepseek
name: '@deepseek-ai/dsh-llm-deepseek'
disabled: true
- insert:
- id: llm-replay
name: '@deepseek-ai/dsh-llm-replay'

View File

@@ -0,0 +1,11 @@
# Add the persisted goal domain and its model-facing tools to the real one-shot app.
- id: base
name: '@cordisjs/plugin-include'
config:
path: ./cordis.yml
patches:
- insert:
- id: goal
name: '@deepseek-ai/dsh-goal'
- id: tool-goal
name: '@deepseek-ai/dsh-tool-goal'

View File

@@ -11,10 +11,12 @@ import { LOADER_SMOKE_TEST_TIMEOUT_MS, runLoaderSmoke } from '@deepseek-ai/dsh-l
import { describe, expect, it } from 'vitest'
const snapshotsDir = join(dirname(fileURLToPath(import.meta.url)), 'snapshots')
const scenarioDir = join(snapshotsDir, 'advanced-toolchain')
const sessionFixture = join(scenarioDir, 'session.jsonl')
const streamExpected = join(scenarioDir, 'stream-json.expected.jsonl')
const configPath = fileURLToPath(new URL('../advanced.cordis.snapshot.yml', import.meta.url))
const advancedScenarioDir = join(snapshotsDir, 'advanced-toolchain')
const advancedSessionFixture = join(advancedScenarioDir, 'session.jsonl')
const advancedStreamExpected = join(advancedScenarioDir, 'stream-json.expected.jsonl')
const advancedConfigPath = fileURLToPath(new URL('../advanced.cordis.snapshot.yml', import.meta.url))
const goalScenarioDir = join(snapshotsDir, 'goal-tools')
const goalConfigPath = fileURLToPath(new URL('../goal.cordis.snapshot.yml', import.meta.url))
const binScript = fileURLToPath(new URL('../../../packages/examples/cli-demo/src/bin.ts', import.meta.url))
const tsconfigPath = fileURLToPath(new URL('../../../tsconfig.json', import.meta.url))
const refreshing = process.env.DSH_SNAPSHOT === 'refresh'
@@ -70,12 +72,36 @@ function normalizeHeadlessStream(rawStdout: string, cwd: string): string {
return normalizeStdout(`${normalizedRecords.map(record => JSON.stringify(record)).join('\n')}\n`, context)
}
async function advancedPrompt(): Promise<string> {
const input = JSON.parse(await readFile(join(scenarioDir, 'input.json'), 'utf8')) as {
/** Zero durable goal timestamps inside both metadata records and rendered XML JSON. */
function normalizeGoalTimestamps(value: unknown): unknown {
if (typeof value === 'string') {
return value.replace(/("(?:createdAt|updatedAt|clearedAt)":)\d+/g, '$10')
}
if (Array.isArray(value)) return value.map(normalizeGoalTimestamps)
if (value !== null && typeof value === 'object') {
return Object.fromEntries(Object.entries(value).map(([key, item]) => [
key,
['createdAt', 'updatedAt', 'clearedAt'].includes(key) && typeof item === 'number'
? 0
: normalizeGoalTimestamps(item),
]))
}
return value
}
/** Normalize the stream's durable goal timestamps after the shared scrubbers. */
function normalizeGoalStream(rawStdout: string, cwd: string): string {
return parseJsonl(normalizeHeadlessStream(rawStdout, cwd))
.map(record => JSON.stringify(normalizeGoalTimestamps(record)))
.join('\n') + '\n'
}
async function scenarioPrompt(dir: string, label: string): Promise<string> {
const input = JSON.parse(await readFile(join(dir, 'input.json'), 'utf8')) as {
steps?: { op?: unknown; text?: unknown }[]
}
const prompt = input.steps?.find(step => step.op === 'prompt')?.text
if (typeof prompt !== 'string') throw new Error('advanced-toolchain input has no prompt step')
if (typeof prompt !== 'string') throw new Error(`${label} input has no prompt step`)
return prompt
}
@@ -90,24 +116,27 @@ async function persistedLogs(cwd: string): Promise<PersistedLog[]> {
describe('headless stream-json snapshots', () => {
it('replays the advanced toolchain through the one-shot app', async () => {
const prompt = await advancedPrompt()
const prompt = await scenarioPrompt(advancedScenarioDir, 'advanced-toolchain')
const expectedSessions = await Promise.all([
sessionFixture,
join(scenarioDir, 'session.1.jsonl'),
join(scenarioDir, 'session.2.jsonl'),
advancedSessionFixture,
join(advancedScenarioDir, 'session.1.jsonl'),
join(advancedScenarioDir, 'session.2.jsonl'),
].map(file => readFile(file, 'utf8')))
let runCwd = ''
const result = await runLoaderSmoke({
label: 'advanced headless stream-json snapshot',
tempDirPrefix: 'headless-snapshot-advanced-',
binScript,
configPath,
binArgs: ['--config', configPath, '--output-format', 'stream-json', prompt],
configPath: advancedConfigPath,
binArgs: ['--config', advancedConfigPath, '--output-format', 'stream-json', prompt],
tsconfigPath,
env: {
DSH_SNAPSHOT: 'replay',
DSH_SNAPSHOT_FILE: sessionFixture,
DSH_SNAPSHOT_CHILD_FILES: [join(scenarioDir, 'session.1.jsonl'), join(scenarioDir, 'session.2.jsonl')].join(delimiter),
DSH_SNAPSHOT_FILE: advancedSessionFixture,
DSH_SNAPSHOT_CHILD_FILES: [
join(advancedScenarioDir, 'session.1.jsonl'),
join(advancedScenarioDir, 'session.2.jsonl'),
].join(delimiter),
NODE_OPTIONS: [process.env.NODE_OPTIONS, '--disable-warning=ExperimentalWarning'].filter(Boolean).join(' '),
},
prepare: (cwd) => { runCwd = cwd },
@@ -134,6 +163,56 @@ describe('headless stream-json snapshots', () => {
expect(result.stderr).toBe('')
const normalized = normalizeHeadlessStream(result.stdout, runCwd)
if (refreshing) await writeFile(advancedStreamExpected, normalized)
expect(normalized).toBe(await readFile(advancedStreamExpected, 'utf8'))
}, LOADER_SMOKE_TEST_TIMEOUT_MS)
it('replays persisted goal tools through the one-shot app', async () => {
const prompt = await scenarioPrompt(goalScenarioDir, 'goal-tools')
const streamExpected = join(goalScenarioDir, 'stream-json.expected.jsonl')
let runCwd = ''
const result = await runLoaderSmoke({
label: 'goal tools headless stream-json snapshot',
tempDirPrefix: 'headless-snapshot-goal-tools-',
binScript,
configPath: goalConfigPath,
binArgs: ['--config', goalConfigPath, '--output-format', 'stream-json', prompt],
tsconfigPath,
env: {
DSH_SNAPSHOT: 'replay',
DSH_SNAPSHOT_FILE: join(goalScenarioDir, 'session.jsonl'),
DSH_SNAPSHOT_OVERRIDE: join(goalScenarioDir, 'replay.override.json'),
NODE_OPTIONS: [process.env.NODE_OPTIONS, '--disable-warning=ExperimentalWarning'].filter(Boolean).join(' '),
},
prepare: (cwd) => { runCwd = cwd },
inspect: async (cwd) => {
const logs = await persistedLogs(cwd)
expect(logs).toHaveLength(1)
const records = parseJsonl(logs[0]?.content ?? '')
const calls = records.filter(record => record.type === 'tool/call')
.map(record => (record.data as JsonObject | undefined)?.name)
expect(calls).toEqual(['create_goal', 'get_goal'])
const goalChanges = records.filter((record) => {
if (record.type !== 'context/message') return false
const data = record.data as JsonObject | undefined
const meta = data?.meta as JsonObject | undefined
return meta?.kind === 'goal/change'
})
expect(goalChanges).toHaveLength(1)
const data = goalChanges[0]?.data as JsonObject | undefined
const meta = data?.meta as JsonObject | undefined
const goal = meta?.goal as JsonObject | undefined
expect(meta?.operation).toBe('create')
expect(goal).toMatchObject({
objective: 'Finish the headless goal-tool snapshot proof',
phase: 'active',
maxGoalRounds: 7,
})
},
})
expect(result.stderr).toBe('')
const normalized = normalizeGoalStream(result.stdout, runCwd)
if (refreshing) await writeFile(streamExpected, normalized)
expect(normalized).toBe(await readFile(streamExpected, 'utf8'))
}, LOADER_SMOKE_TEST_TIMEOUT_MS)

View File

@@ -0,0 +1,8 @@
{
"steps": [
{
"op": "prompt",
"text": "Create a durable goal to finish the snapshot proof, then inspect it."
}
]
}

View File

@@ -0,0 +1,32 @@
[
{
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "tool-call" },
{ "type": "tool-call-delta", "index": 0, "id": "call_goal_create", "name": "create_goal", "argumentsDelta": "{\"objective\":\"Finish the headless goal-tool snapshot proof\",\"max_goal_rounds\":7}" },
{ "type": "block-end", "index": 0, "block": { "type": "tool-call", "id": "call_goal_create", "name": "create_goal", "arguments": "{\"objective\":\"Finish the headless goal-tool snapshot proof\",\"max_goal_rounds\":7}" } },
{ "type": "usage", "usage": { "inputTokens": 20, "outputTokens": 8 } },
{ "type": "finish", "reason": { "kind": "tool-calls" } }
]
},
{
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "tool-call" },
{ "type": "tool-call-delta", "index": 0, "id": "call_goal_get", "name": "get_goal", "argumentsDelta": "{}" },
{ "type": "block-end", "index": 0, "block": { "type": "tool-call", "id": "call_goal_get", "name": "get_goal", "arguments": "{}" } },
{ "type": "usage", "usage": { "inputTokens": 30, "outputTokens": 4 } },
{ "type": "finish", "reason": { "kind": "tool-calls" } }
]
},
{
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "text" },
{ "type": "text-delta", "index": 0, "text": "GOAL READY" },
{ "type": "block-end", "index": 0, "block": { "type": "text", "text": "GOAL READY" } },
{ "type": "usage", "usage": { "inputTokens": 35, "outputTokens": 2 } },
{ "type": "finish", "reason": { "kind": "stop" } }
]
}
]

View File

@@ -0,0 +1,34 @@
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"turn/start","seq":0,"time":0,"data":{"turn":1,"trigger":{"kind":"message","source":{"kind":"user"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"user/message","seq":1,"time":0,"data":{"content":[{"type":"text","text":"Create a durable goal to finish the snapshot proof, then inspect it."}],"source":{"kind":"user"}},"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/start","seq":2,"time":0,"data":{"turn":1,"step":1}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"request/header","seq":3,"time":0,"data":{"header":{"config":{"provider":"deepseek","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":4,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":5,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":0,"id":"call_goal_create","name":"create_goal","argumentsDelta":"{\"objective\":\"Finish the headless goal-tool snapshot proof\",\"max_goal_rounds\":7}"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":6,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_goal_create","name":"create_goal","arguments":"{\"objective\":\"Finish the headless goal-tool snapshot proof\",\"max_goal_rounds\":7}"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":7,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":20,"outputTokens":8}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":8,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/message","seq":9,"time":0,"data":{"turn":1,"step":1,"content":[{"type":"tool-call","id":"call_goal_create","name":"create_goal","arguments":"{\"objective\":\"Finish the headless goal-tool snapshot proof\",\"max_goal_rounds\":7}"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":20,"outputTokens":8}},"sourceEventSeqs":[4,5,6,7,8],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/call","seq":10,"time":0,"data":{"turn":1,"step":1,"callId":"call_goal_create","name":"create_goal","arguments":"{\"objective\":\"Finish the headless goal-tool snapshot proof\",\"max_goal_rounds\":7}"}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/result","seq":11,"time":0,"data":{"turn":1,"step":1,"callId":"call_goal_create","content":[{"type":"text","text":"{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":1,\"objective\":\"Finish the headless goal-tool snapshot proof\",\"phase\":\"active\",\"roundsStarted\":0,\"maxGoalRounds\":7},\"activation\":\"armed\"}"}],"isError":false},"sourceEventSeqs":[10],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"context/message","seq":12,"time":0,"data":{"content":[{"type":"text","text":"<goal_state>{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":1,\"objective\":\"Finish the headless goal-tool snapshot proof\",\"phase\":\"active\",\"maxGoalRounds\":7},\"roundsStarted\":0,\"createdAt\":0,\"updatedAt\":0}</goal_state>"}],"source":{"kind":"goal","goalId":"goal-{{sessionId}}","revision":1,"round":0},"envelope":"raw","meta":{"kind":"goal/change","version":1,"operation":"create","goal":{"id":"goal-{{sessionId}}","revision":1,"objective":"Finish the headless goal-tool snapshot proof","phase":"active","maxGoalRounds":7},"roundsStarted":0,"createdAt":0,"updatedAt":0}},"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/end","seq":13,"time":0,"data":{"turn":1,"step":1}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/start","seq":14,"time":0,"data":{"turn":1,"step":2}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":15,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":16,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"tool-call-delta","index":0,"id":"call_goal_get","name":"get_goal","argumentsDelta":"{}"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":17,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_goal_get","name":"get_goal","arguments":"{}"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":18,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"usage","usage":{"inputTokens":30,"outputTokens":4}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":19,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/message","seq":20,"time":0,"data":{"turn":1,"step":2,"content":[{"type":"tool-call","id":"call_goal_get","name":"get_goal","arguments":"{}"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":30,"outputTokens":4}},"sourceEventSeqs":[15,16,17,18,19],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/call","seq":21,"time":0,"data":{"turn":1,"step":2,"callId":"call_goal_get","name":"get_goal","arguments":"{}"}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/result","seq":22,"time":0,"data":{"turn":1,"step":2,"callId":"call_goal_get","content":[{"type":"text","text":"{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":1,\"objective\":\"Finish the headless goal-tool snapshot proof\",\"phase\":\"active\",\"roundsStarted\":0,\"maxGoalRounds\":7},\"activation\":\"armed\"}"}],"isError":false},"sourceEventSeqs":[21],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/end","seq":23,"time":0,"data":{"turn":1,"step":2}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/start","seq":24,"time":0,"data":{"turn":1,"step":3}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":25,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":26,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"text-delta","index":0,"text":"GOAL READY"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":27,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"block-end","index":0,"block":{"type":"text","text":"GOAL READY"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":28,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"usage","usage":{"inputTokens":35,"outputTokens":2}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":29,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/message","seq":30,"time":0,"data":{"turn":1,"step":3,"content":[{"type":"text","text":"GOAL READY"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":35,"outputTokens":2}},"sourceEventSeqs":[25,26,27,28,29],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/end","seq":31,"time":0,"data":{"turn":1,"step":3}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"turn/end","seq":32,"time":0,"data":{"turn":1,"reason":{"kind":"completed"}}}}
{"type":"result","success":true,"sessionId":"{{sessionId}}","turn":1,"result":"GOAL READY","reason":{"kind":"completed"},"usage":{"inputTokens":85,"outputTokens":14}}