Merge commit 'refs/codex/unblock/master-current' into HEAD

# Conflicts:
#	docs/event-producer-consumer.md
#	examples/acp-agent/tests/snapshots/bash-spill/session.jsonl
#	examples/acp-agent/tests/snapshots/escalation-approved/session.jsonl
#	examples/acp-agent/tests/snapshots/escalation-rejected/session.jsonl
#	examples/acp-agent/tests/snapshots/fs-escalation-approved/session.jsonl
#	examples/acp-agent/tests/snapshots/hook-cc-pretool-ask/session.jsonl
#	packages/context/workspace-context/tests/workspace-context.spec.ts
#	packages/core/agent/src/index.ts
#	packages/support/invariants/tests/invariants.spec.ts
#	packages/ui/acp/src/index.ts
#	packages/ui/tui/tests/harness.ts
#	packages/ui/tui/tests/tui.spec.ts
This commit is contained in:
Tianyi Cui
2026-07-21 20:20:53 +08:00
631 changed files with 21514 additions and 3341 deletions
+8 -6
View File
@@ -9,6 +9,11 @@
config:
apiKey: !!js process.env.DEEPSEEK_API_KEY
baseURL: !!js process.env.DEEPSEEK_BASE_URL
models:
- id: deepseek-v4-flash
contextWindow: 256000
- id: deepseek-v4-pro
contextWindow: 256000
# The default composition confines bash AND the filesystem tools to the
# workspace and asks before a wider retry. Snapshot runs select
@@ -58,20 +63,17 @@
Verify your work by running the code or tests. Keep answers brief and factual.
# Replay-aware request pressure with one service-wide context window.
# Replay-aware request pressure; the routed adapter supplies model capacity.
- id: token-meter
name: '@deepseek-ai/dsh-token-meter'
config:
# FIXME: Resolve compaction config per model; this capacity assumes a 256k context window.
contextWindow: 256000
# Summarize an older range after measured pressure or a canonical provider overflow.
# Service-wide policy provides pressure, retention, and one overflow-retry default.
# Ratios scale against the routed model's context window.
- id: compact-basic
name: '@deepseek-ai/dsh-compact-basic'
config:
thresholdRatio: 0.8
retainTokens: 20480
retainRatio: 0.08
maxTokens: 8192
compactionRetries: 1
+2
View File
@@ -31,6 +31,7 @@ const WORKSPACE_CONTEXT_CONFIG = fileURLToPath(new URL('../workspace-context.cor
const ADVANCED_CONFIG = fileURLToPath(new URL('../advanced.cordis.yml', import.meta.url))
const FS_CONFIG = fileURLToPath(new URL('../fs.cordis.yml', import.meta.url))
const DEPTH_TWO_CONFIG = fileURLToPath(new URL('../depth-two.cordis.yml', import.meta.url))
const LSP_CONFIG = fileURLToPath(new URL('./lsp.cordis.yml', import.meta.url))
function snapshotModeFromEnv(value: string | undefined): SnapshotSuiteOptions['mode'] {
switch (value) {
@@ -68,6 +69,7 @@ const SCENARIOS: Scenario[] = [
{ name: 'fs-terminal-card', hasModelTurn: true, recorded: true },
{ name: 'todo-plan', hasModelTurn: true, recorded: true },
{ name: 'skill-load', hasModelTurn: true, recorded: false, pinsHeader: true, headerClass: 'skill' },
{ name: 'lsp-definition', hasModelTurn: true, recorded: false, pinsHeader: true, headerClass: 'lsp', configPath: LSP_CONFIG },
{ name: 'workspace-edit', hasModelTurn: true, recorded: true },
{ name: 'fs-read', hasModelTurn: true, recorded: true },
{ name: 'fs-write', hasModelTurn: true, recorded: true },
@@ -0,0 +1,41 @@
# Test-only composition: the ACP subagent backend on the real Loader/app path.
# The scripted model delegates once; the scripted mock ACP child (MOCK_ECHO_CWD)
# echoes its process cwd and announced session cwd, so parent-session cwd
# inheritance is asserted keylessly end to end. `cwd` is deliberately omitted —
# the inheritance branch under test. The child command path is machine-absolute,
# so the driving e2e supplies it via DSH_TEST_MOCK_ACP_SERVER.
- id: mock-llm
name: './mock-delegating-llm.ts'
- id: subagent
name: '@deepseek-ai/dsh-subagent'
- id: subagent-acp
name: '@deepseek-ai/dsh-subagent-acp'
config:
providerName: acp
command: !!js process.execPath
args:
- !!js process.env.DSH_TEST_MOCK_ACP_SERVER
permission: reject
env:
MOCK_ECHO_CWD: '1'
- id: tool-subagent
name: '@deepseek-ai/dsh-tool-subagent'
config:
provider: acp
toolName: subagent
# ACP advertises no depthLimit: the child harness owns its own recursion
# budget, so the local numeric default cannot apply here.
maxDepth: 'provider-managed'
- id: cli-agent
name: '@deepseek-ai/dsh-cli-demo'
config:
provider: mock
model: mock-delegate
persona: 'Test ACP subagent cwd inheritance.'
persistenceRoot: './.sessions'
persistenceCompression: 'none'
workspaceContext: false
@@ -0,0 +1,15 @@
#!/usr/bin/env node
/** Test driver: one delegation turn through a headless Loader composition. */
import { boot, resolveConfigPath } from '@deepseek-ai/dsh-app-boot'
import { runOneShot } from '@deepseek-ai/dsh-cli-demo/src/cli.ts'
const configPath = process.argv[2]
if (configPath === undefined) throw new Error('acp-subagent cwd driver requires a config path')
const ctx = await boot('acp-subagent-cwd-e2e', resolveConfigPath(configPath, undefined))
try {
await runOneShot(ctx, { task: 'delegate' })
} finally {
await ctx.fiber.dispose()
}
@@ -0,0 +1,48 @@
import type { Context } from 'cordis'
import type { GenerateOptions, StreamChunk } from '@deepseek-ai/dsh-llm'
import { CallId, LlmAdapter } from '@deepseek-ai/dsh-llm'
/**
* Test adapter for the `mock-delegate` model: the first request calls the
* `subagent` tool once, and the follow-up streams the tool result text back
* verbatim — so the ACP child's answer (the scripted mock server's cwd echo)
* reaches the REPL stdout for the driving e2e to assert.
*/
class MockDelegatingAdapter extends LlmAdapter {
async * stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
const toolResultText = options.messages.at(-1)?.content
.filter(block => block.type === 'tool-result')
.flatMap(block => block.content)
.filter(block => block.type === 'text')
.map(block => block.text)
.join('') ?? ''
if (toolResultText.length === 0) {
const args = JSON.stringify({ description: 'cwd probe', prompt: 'report your workspace' })
yield { type: 'block-start', index: 0, blockType: 'tool-call' }
yield { type: 'tool-call-delta', index: 0, id: CallId('call-delegate'), name: 'subagent', argumentsDelta: args }
yield { type: 'block-end', index: 0, block: { type: 'tool-call', id: CallId('call-delegate'), name: 'subagent', arguments: args } }
yield { type: 'usage', usage: { inputTokens: 10, outputTokens: 5 } }
yield { type: 'finish', reason: { kind: 'tool-calls' } }
return
}
const reply = `child reported:\n${toolResultText}`
yield { type: 'block-start', index: 0, blockType: 'text' }
yield { type: 'text-delta', index: 0, text: reply }
yield { type: 'block-end', index: 0, block: { type: 'text', text: reply } }
yield { type: 'usage', usage: { inputTokens: 10, outputTokens: reply.length } }
yield { type: 'finish', reason: { kind: 'stop' } }
}
}
export const name = 'mock-llm'
export const inject = ['llm']
/**
* Register the delegating mock adapter under the `mock` provider.
* @param ctx - the plugin context supplying `ctx.llm`.
*/
export function apply(ctx: Context): void {
ctx.llm.registerAdapter(['mock'], new MockDelegatingAdapter())
}
@@ -0,0 +1,29 @@
# Keyless replay keeps the LSP composition intact and replaces only the model adapter.
- id: base
name: '@cordisjs/plugin-include'
config:
path: ../cordis.yml
patches:
- id: llm-deepseek
name: '@deepseek-ai/dsh-llm-deepseek'
disabled: true
- insert:
- id: lsp
name: '@deepseek-ai/dsh-lsp'
- id: lsp-local
name: '@deepseek-ai/dsh-lsp-local'
config:
servers:
fixture:
command: !!js process.execPath
args: ['./lsp-server.mjs']
extensionToLanguage:
'.ts': typescript
- id: timeout-policy
name: '@deepseek-ai/dsh-timeout-policy'
- id: tool-lsp
name: '@deepseek-ai/dsh-tool-lsp'
config:
maxLocations: 1
- id: llm-replay
name: '@deepseek-ai/dsh-llm-replay'
+25
View File
@@ -0,0 +1,25 @@
# Exercise the model-facing LSP tool through the shipped ACP app and Loader entry path.
# The scenario workspace supplies the deterministic stdio server used by this test composition.
- id: base
name: '@cordisjs/plugin-include'
config:
path: ../cordis.yml
patches:
- insert:
- id: lsp
name: '@deepseek-ai/dsh-lsp'
- id: lsp-local
name: '@deepseek-ai/dsh-lsp-local'
config:
servers:
fixture:
command: !!js process.execPath
args: ['./lsp-server.mjs']
extensionToLanguage:
'.ts': typescript
- id: timeout-policy
name: '@deepseek-ai/dsh-timeout-policy'
- id: tool-lsp
name: '@deepseek-ai/dsh-tool-lsp'
config:
maxLocations: 1
@@ -10,7 +10,7 @@
{"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_spill","name":"bash","arguments":"{\"command\":\"node -e \\\"process.stdout.write('SPILL_START-' + 'x'.repeat(2000) + '-SPILL_END')\\\"\",\"description\":\"Print large deterministic output\"}"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":10,"outputTokens":5}},"sourceEventSeqs":[4,5,6,7,8],"surfaceOp":"append"}
{"type":"tool/call","seq":10,"time":0,"data":{"turn":1,"step":1,"callId":"call_spill","name":"bash","arguments":"{\"command\":\"node -e \\\"process.stdout.write('SPILL_START-' + 'x'.repeat(2000) + '-SPILL_END')\\\"\",\"description\":\"Print large deterministic output\"}"}}
{"type":"tool/result","seq":11,"time":0,"data":{"turn":1,"step":1,"callId":"call_spill","content":[{"type":"text","text":"SPILL_START-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx-SPILL_END\n\n(Omitted 1417 bytes. Full formatted result stored at: /tmp/dsh-acp-snapshot-spill/session-2c89fd88e86a/76d6f8e72dc8-bash.txt. Use read with offset/limit, or grep this path to search within it.)"}],"isError":false},"sourceEventSeqs":[10],"surfaceOp":"append"}
{"type":"tool/result","seq":11,"time":0,"data":{"turn":1,"step":1,"callId":"call_spill","content":[{"type":"text","text":"SPILL_START-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx-SPILL_END\n\n(Omitted 1417 bytes. Full formatted result stored at: /tmp/dsh-acp-snapshot-spill/session-766ddb6deb99/b7b4bdfcf7aa-bash.txt. Use read with offset/limit, or grep this path to search within it.)"}],"isError":false},"sourceEventSeqs":[10],"surfaceOp":"append"}
{"type":"step/end","seq":12,"time":0,"data":{"turn":1,"step":1}}
{"type":"step/start","seq":13,"time":0,"data":{"turn":1,"step":2}}
{"type":"assistant/chunk","seq":14,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
@@ -131,8 +131,8 @@
{"type":"assistant/chunk","seq":129,"time":1783962245385,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":130,"time":1783962245385,"data":{"turn":1,"step":1,"content":[{"type":"reasoning","text":"The user wants me to run a command with sandbox_permissions set to danger-full-access, no prior run needed, justified as instructed."},{"type":"tool-call","id":"call_00_d0sAHpJ9mYOJi0z7KNy30441","name":"bash","arguments":"{\"command\": \"printf 'escalated\\\\n' > /tmp/dsh-escalated.txt && cat /tmp/dsh-escalated.txt && rm /tmp/dsh-escalated.txt\", \"description\": \"Write file outside workspace and verify\", \"sandbox_permissions\": \"danger-full-access\", \"justification\": \"the user asked to write a file outside the workspace\"}"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":1501,"outputTokens":174,"cacheReadTokens":0,"reasoningTokens":28}},"sourceEventSeqs":[7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129],"surfaceOp":"append"}
{"type":"tool/call","seq":131,"time":1783962245385,"data":{"turn":1,"step":1,"callId":"call_00_d0sAHpJ9mYOJi0z7KNy30441","name":"bash","arguments":"{\"command\": \"printf 'escalated\\\\n' > /tmp/dsh-escalated.txt && cat /tmp/dsh-escalated.txt && rm /tmp/dsh-escalated.txt\", \"description\": \"Write file outside workspace and verify\", \"sandbox_permissions\": \"danger-full-access\", \"justification\": \"the user asked to write a file outside the workspace\"}"}}
{"type":"approval/asked","seq":132,"time":1783962245386,"data":{"id":"23498617-a99c-49d2-9760-0bf14fad73be","toolName":"bash","callId":"call_00_d0sAHpJ9mYOJi0z7KNy30441","reason":"escalate sandbox to danger-full-access: the user asked to write a file outside the workspace"}}
{"type":"approval/decided","seq":133,"time":1783962245387,"data":{"id":"23498617-a99c-49d2-9760-0bf14fad73be","outcome":"allowed-once"}}
{"type":"approval/asked","seq":132,"time":1783962245386,"data":{"id":"69daf6e5-d7a8-442c-a624-9172517cba58","toolName":"bash","callId":"call_00_d0sAHpJ9mYOJi0z7KNy30441","reason":"escalate sandbox to danger-full-access: the user asked to write a file outside the workspace"}}
{"type":"approval/decided","seq":133,"time":1783962245387,"data":{"id":"69daf6e5-d7a8-442c-a624-9172517cba58","outcome":"allowed-once"}}
{"type":"tool/result","seq":134,"time":1783962245399,"data":{"turn":1,"step":1,"callId":"call_00_d0sAHpJ9mYOJi0z7KNy30441","content":[{"type":"text","text":"escalated\n"}],"isError":false},"sourceEventSeqs":[131],"surfaceOp":"append"}
{"type":"step/end","seq":135,"time":1783962245400,"data":{"turn":1,"step":1}}
{"type":"step/start","seq":136,"time":1783962245400,"data":{"turn":1,"step":2}}
@@ -155,8 +155,8 @@
{"type":"assistant/chunk","seq":153,"time":1783962246274,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":154,"time":1783962246274,"data":{"turn":1,"step":1,"content":[{"type":"reasoning","text":"The user wants me to run a specific command with `sandbox_permissions` set to `danger-full-access` and a specific justification. They explicitly said NOT to run it without sandbox_permissions first. Let me do exactly that."},{"type":"tool-call","id":"call_00_WB1vnPomi8yr6MlcFKTj7912","name":"bash","arguments":"{\"command\": \"printf 'escalated\\\\n' > /tmp/dsh-escalated.txt && cat /tmp/dsh-escalated.txt && rm /tmp/dsh-escalated.txt\", \"description\": \"Write to /tmp and verify, then clean up\", \"sandbox_permissions\": \"danger-full-access\", \"justification\": \"the user asked to write a file outside the workspace\"}"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":1509,"outputTokens":198,"cacheReadTokens":0,"reasoningTokens":48}},"sourceEventSeqs":[7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153],"surfaceOp":"append"}
{"type":"tool/call","seq":155,"time":1783962246274,"data":{"turn":1,"step":1,"callId":"call_00_WB1vnPomi8yr6MlcFKTj7912","name":"bash","arguments":"{\"command\": \"printf 'escalated\\\\n' > /tmp/dsh-escalated.txt && cat /tmp/dsh-escalated.txt && rm /tmp/dsh-escalated.txt\", \"description\": \"Write to /tmp and verify, then clean up\", \"sandbox_permissions\": \"danger-full-access\", \"justification\": \"the user asked to write a file outside the workspace\"}"}}
{"type":"approval/asked","seq":156,"time":1783962246275,"data":{"id":"23ecdf35-6e86-4abb-b59a-c0d0b4859ab1","toolName":"bash","callId":"call_00_WB1vnPomi8yr6MlcFKTj7912","reason":"escalate sandbox to danger-full-access: the user asked to write a file outside the workspace"}}
{"type":"approval/decided","seq":157,"time":1783962246275,"data":{"id":"23ecdf35-6e86-4abb-b59a-c0d0b4859ab1","outcome":"rejected"}}
{"type":"approval/asked","seq":156,"time":1783962246275,"data":{"id":"78869d2f-1a83-4672-8a66-2a75d1ffe49f","toolName":"bash","callId":"call_00_WB1vnPomi8yr6MlcFKTj7912","reason":"escalate sandbox to danger-full-access: the user asked to write a file outside the workspace"}}
{"type":"approval/decided","seq":157,"time":1783962246275,"data":{"id":"78869d2f-1a83-4672-8a66-2a75d1ffe49f","outcome":"rejected"}}
{"type":"tool/result","seq":158,"time":1783962246275,"data":{"turn":1,"step":1,"callId":"call_00_WB1vnPomi8yr6MlcFKTj7912","content":[{"type":"text","text":"Error: the user rejected escalating this command to \"danger-full-access\""}],"isError":true},"sourceEventSeqs":[155],"surfaceOp":"append"}
{"type":"step/end","seq":159,"time":1783962246276,"data":{"turn":1,"step":1}}
{"type":"step/start","seq":160,"time":1783962246276,"data":{"turn":1,"step":2}}
@@ -89,8 +89,8 @@
{"type":"assistant/chunk","seq":87,"time":1784045703776,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":88,"time":1784045703780,"data":{"turn":1,"step":1,"content":[{"type":"reasoning","text":"The user wants me to create a file using the write tool with sandbox_permissions. Let me do that."},{"type":"tool-call","id":"call_00_Fnymmavpr4klMDy4Fdej3227","name":"write","arguments":"{\"file_path\": \"escalated.md\", \"content\": \"escalated\", \"sandbox_permissions\": \"danger-full-access\", \"justification\": \"the user asked to escalate this write\"}"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":3871,"outputTokens":132,"cacheReadTokens":0,"reasoningTokens":23}},"sourceEventSeqs":[7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87],"surfaceOp":"append"}
{"type":"tool/call","seq":89,"time":1784045703780,"data":{"turn":1,"step":1,"callId":"call_00_Fnymmavpr4klMDy4Fdej3227","name":"write","arguments":"{\"file_path\": \"escalated.md\", \"content\": \"escalated\", \"sandbox_permissions\": \"danger-full-access\", \"justification\": \"the user asked to escalate this write\"}"}}
{"type":"approval/asked","seq":90,"time":1784045703782,"data":{"id":"87ed8caf-cd1a-4400-9359-348aafa945af","toolName":"write","callId":"call_00_Fnymmavpr4klMDy4Fdej3227","reason":"escalate sandbox to danger-full-access: the user asked to escalate this write"}}
{"type":"approval/decided","seq":91,"time":1784045703786,"data":{"id":"87ed8caf-cd1a-4400-9359-348aafa945af","outcome":"allowed-once"}}
{"type":"approval/asked","seq":90,"time":1784045703782,"data":{"id":"50a67945-0145-4850-93bf-3552f2550b47","toolName":"write","callId":"call_00_Fnymmavpr4klMDy4Fdej3227","reason":"escalate sandbox to danger-full-access: the user asked to escalate this write"}}
{"type":"approval/decided","seq":91,"time":1784045703786,"data":{"id":"50a67945-0145-4850-93bf-3552f2550b47","outcome":"allowed-once"}}
{"type":"tool/result","seq":92,"time":1784045703798,"data":{"turn":1,"step":1,"callId":"call_00_Fnymmavpr4klMDy4Fdej3227","content":[{"type":"text","text":"<path>/var/folders/2g/b32ct0qn1d728l_v6tdkjytr0000gn/T/acp-snap-cwd-vmEGzd/escalated.md</path>\n<type>file</type>\n<content>\nCreated file\n</content>"}],"isError":false},"sourceEventSeqs":[89],"surfaceOp":"append"}
{"type":"step/end","seq":93,"time":1784045703798,"data":{"turn":1,"step":1}}
{"type":"step/start","seq":94,"time":1784045703799,"data":{"turn":1,"step":2}}
@@ -55,8 +55,8 @@
{"type":"tool/call","seq":53,"time":1783352172557,"data":{"turn":1,"step":1,"callId":"call_00_6k0oGSliVHxGSgqBmMEO4311","name":"bash","arguments":"{\"command\": \"echo HELLO\", \"description\": \"Echo HELLO\"}"}}
{"type":"hook/invoked","seq":54,"time":1783352172558,"data":{"turn":1,"point":"PreToolUse","dialect":"claude","handlerId":"claude:PreToolUse:1","matcher":"bash"}}
{"type":"hook/result","seq":55,"time":1783352172573,"data":{"turn":1,"point":"PreToolUse","handlerId":"claude:PreToolUse:1","decision":"ask","exitCode":0,"durationMs":14.113374999999905}}
{"type":"approval/asked","seq":56,"time":1783962235813,"data":{"id":"8ddf3163-76d7-4644-8c2c-81994e3a513e","toolName":"bash","callId":"call_00_6k0oGSliVHxGSgqBmMEO4311","reason":"bash requires manual approval in this session"}}
{"type":"approval/decided","seq":57,"time":1783962235813,"data":{"id":"8ddf3163-76d7-4644-8c2c-81994e3a513e","outcome":"rejected"}}
{"type":"approval/asked","seq":56,"time":1783962235813,"data":{"id":"0ff46a23-8e38-46cd-9b1a-99bf363032a4","toolName":"bash","callId":"call_00_6k0oGSliVHxGSgqBmMEO4311","reason":"bash requires manual approval in this session"}}
{"type":"approval/decided","seq":57,"time":1783962235813,"data":{"id":"0ff46a23-8e38-46cd-9b1a-99bf363032a4","outcome":"rejected"}}
{"type":"tool/result","seq":58,"time":1783962235814,"data":{"turn":1,"step":1,"callId":"call_00_6k0oGSliVHxGSgqBmMEO4311","content":[{"type":"text","text":"Error: the user rejected tool \"bash\""}],"isError":true},"sourceEventSeqs":[53],"surfaceOp":"append"}
{"type":"step/end","seq":59,"time":1783962235814,"data":{"turn":1,"step":1}}
{"type":"step/start","seq":60,"time":1783962235814,"data":{"turn":1,"step":2}}
@@ -0,0 +1,7 @@
{
"steps": [
{ "op": "initialize" },
{ "op": "newSession" },
{ "op": "prompt", "text": "Use the lsp tool exactly once to find the definition at subject.ts line 1 character 7, then reply with exactly DONE." }
]
}
@@ -0,0 +1,23 @@
{"type":"session","version":0,"id":"{{sessionId}}","createdAt":0,"cwd":"{{cwd}}","delegationDepth":0}
{"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":"Use the lsp tool exactly once to find the definition at subject.ts line 1 character 7, then reply with exactly DONE."}],"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_lsp_definition","name":"lsp","argumentsDelta":"{\"operation\":\"goToDefinition\",\"file_path\":\"subject.ts\",\"line\":1,\"character\":7}"}}}
{"type":"assistant/chunk","seq":6,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_lsp_definition","name":"lsp","arguments":"{\"operation\":\"goToDefinition\",\"file_path\":\"subject.ts\",\"line\":1,\"character\":7}"}}}}
{"type":"assistant/chunk","seq":7,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":10,"outputTokens":5}}}}
{"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_lsp_definition","name":"lsp","arguments":"{\"operation\":\"goToDefinition\",\"file_path\":\"subject.ts\",\"line\":1,\"character\":7}"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":10,"outputTokens":5}},"sourceEventSeqs":[4,5,6,7,8],"surfaceOp":"append"}
{"type":"tool/call","seq":10,"time":0,"data":{"turn":1,"step":1,"callId":"call_lsp_definition","name":"lsp","arguments":"{\"operation\":\"goToDefinition\",\"file_path\":\"subject.ts\",\"line\":1,\"character\":7}"}}
{"type":"tool/result","seq":11,"time":0,"data":{"turn":1,"step":1,"callId":"call_lsp_definition","content":[{"type":"text","text":"subject.ts:1:7\n… 1 more location omitted (limit 1)."}],"isError":false},"sourceEventSeqs":[10],"surfaceOp":"append"}
{"type":"step/end","seq":12,"time":0,"data":{"turn":1,"step":1}}
{"type":"step/start","seq":13,"time":0,"data":{"turn":1,"step":2}}
{"type":"assistant/chunk","seq":14,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":15,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"text-delta","index":0,"text":"DONE"}}}
{"type":"assistant/chunk","seq":16,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"block-end","index":0,"block":{"type":"text","text":"DONE"}}}}
{"type":"assistant/chunk","seq":17,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"usage","usage":{"inputTokens":10,"outputTokens":2}}}}
{"type":"assistant/chunk","seq":18,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}
{"type":"assistant/message","seq":19,"time":0,"data":{"turn":1,"step":2,"content":[{"type":"text","text":"DONE"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":10,"outputTokens":2}},"sourceEventSeqs":[14,15,16,17,18],"surfaceOp":"append"}
{"type":"step/end","seq":20,"time":0,"data":{"turn":1,"step":2}}
{"type":"turn/end","seq":21,"time":0,"data":{"turn":1,"reason":{"kind":"completed"}}}
@@ -0,0 +1,7 @@
{"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":"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":[{"name":"goal","description":"set or view the goal for a long-running task","input":{"hint":"[<objective>|clear|edit <objective>|pause|resume]"}}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"call_lsp_definition","title":"LSP goToDefinition subject.ts:1:7","kind":"search","status":"in_progress","locations":[{"path":"subject.ts","line":1}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call_update","toolCallId":"call_lsp_definition","status":"completed","content":[{"type":"content","content":{"type":"text","text":"subject.ts:1:7\n… 1 more location omitted (limit 1)."}}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_message_chunk","content":{"type":"text","text":"DONE"}}}}
{"jsonrpc":"2.0","id":3,"result":{"stopReason":"end_turn"}}
@@ -0,0 +1,27 @@
You are an AI agent powered by the DeepSeek Harness SDK.
You are a coding assistant powered by the deepseek-v4-flash model. Your working directory is {{cwd}}. Your bash tool runs under a file sandbox — a `[sandbox: file access denied …]` result is policy, not a command bug.
Verify your work by running the code or tests. Keep answers brief and factual.
Use the read tool — not shell commands like cat — to inspect text files. Results include line numbers. Use offset and limit to continue reading large files.
Use the write tool to create files or completely replace file contents. Existing files are overwritten, so read an existing file first (the default fs-policy requires it) and prefer edit for targeted changes.
Use the edit tool for targeted changes to existing UTF-8 text files. It replaces literal old_string with new_string; by default old_string must appear exactly once. If old_string appears multiple times, provide a more specific old_string or set replace_all to true. Read the file first (the default fs-policy requires it), unless you just created or edited it in this session.
Check the [exit code: N] marker on every bash result; investigate failures before moving on.
Track every background task id you start. You are notified in-session when a task finishes — do not busy-poll or sleep on one; keep working on independent steps and do not duplicate a running task's work. Before giving a final answer, collect every still-relevant task with task_output (set wait: true only when you are genuinely blocked on it), and task_kill tasks that stopped mattering.
Use search/read for ordinary navigation. Use lsp when textual matches are ambiguous or before a change requires precise definitions, implementations, or references. Positions are one-based line and character (UTF-16) at the cursor; an off-symbol position may return no results. findReferences always includes the declaration.
Use goal tools for one long-running completion objective in the current session. create_goal may infer goal intent from a direct human request in any language; do not create a goal for routine single-turn work. Call get_goal before update_goal and copy its exact goal_id and revision. After session resume or fork, an active goal is disarmed: when a human asks to continue or resume in any wording or language, use update_goal action resume to rearm it. Mark complete only when the objective is actually achieved. Mark blocked only after the same blocking condition persists for at least 3 consecutive goal rounds, and report that concrete condition in blocked_reason; difficulty, uncertainty, or useful remaining work is not blocked.
Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).
<!-- dsh-user-approval-policy:never -->
Use the workflow tool ONLY when the user explicitly asks for a workflow or for large multi-agent orchestration: you write a JavaScript script (the tool description documents the exact format) that fans work out across many subagents with phases and structured results. For one or two delegations, prefer plain subagent calls.
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.
@@ -0,0 +1,506 @@
{
"initial": [
{
"name": "bash",
"description": "Execute a bash command (`bash -c`) and return its stdout/stderr. Each call runs in a fresh shell: no state (cwd, variables, functions) persists between calls — pass `workdir` instead of using `cd`. Non-zero exits are reported as `[exit code: N]`. Current harness environment facts are exposed through managed `$DSH_*` variables; inspect them when needed. Commands may run under a file sandbox; a blocked file operation is reported as `[sandbox: file access denied under <mode> mode]` — a policy denial, not a bug in the command; do not retry another way. Long output is truncated to its tail; the full output is saved to a file whose path is reported when available. Set `run_in_background: true` for long-running commands: the call returns a task id immediately; read its output with `task_output` and stop it with `task_kill`. Attempting a command the sandbox may deny is safe and expected: run it and read the marker rather than assuming the denial. When a command is denied and a wider mode would let it succeed, escalate immediately in the same turn — the one sanctioned exception to a denial: retry the exact same command once with `sandbox_permissions` (the narrowest wider mode that suffices) plus a one-sentence `justification`. Do not detour through chat to ask permission first — the approval prompt raised by that retry is how the user consents. If the session states approval prompts are disabled, there is no exception: a denial is final — do not set `sandbox_permissions`. Never escalate speculatively: ground the request in a real denial — normally the one this command just hit; escalating up front is fine only when this session already denied the same access. A rejected escalation is final for that command — stop and explain, never work around it — but it does not forbid attempting or escalating other commands later.",
"parameters": {
"type": "object",
"properties": {
"command": {
"type": "string",
"description": "The bash command to execute."
},
"description": {
"type": "string",
"description": "Clear, concise description of what this command does in active voice, 5-10 words (shown in the UI). Examples: \"ls\" → \"List files in current directory\"; \"git status\" → \"Show working tree status\"; \"npm install\" → \"Install package dependencies\"."
},
"timeoutMs": {
"type": "number",
"description": "Timeout in milliseconds. The executor applies its configured default and cap, and kills the command on expiry."
},
"workdir": {
"type": "string",
"description": "Working directory for this command. Defaults to the session workspace; a relative path is resolved against it."
},
"run_in_background": {
"type": "boolean",
"description": "Run in the background and return a task id immediately (collect with task_output, stop with task_kill). No timeout applies."
},
"sandbox_permissions": {
"type": "string",
"description": "The wider sandbox mode this command needs. Only valid as a one-shot retry of a command the sandbox just denied; requires justification and user approval.",
"enum": [
"workspace-write",
"danger-full-access"
]
},
"justification": {
"type": "string",
"description": "Required with sandbox_permissions: one sentence for the user explaining why this exact command needs the wider access."
}
},
"required": [
"command",
"description"
]
}
},
{
"name": "create_goal",
"description": "Create one persisted same-session completion goal when the current direct human request is a long-running objective that should continue across autonomous goal rounds. You may infer that intent without requiring the user to say \"create a goal\". Do not use this for trivial single-turn work. Execution rejects non-human and subagent authority.",
"parameters": {
"type": "object",
"properties": {
"objective": {
"type": "string",
"description": "The concrete completion objective inferred from the direct human request."
},
"max_goal_rounds": {
"type": "number",
"description": "Optional positive safe-integer limit on automatic continuation rounds."
}
},
"required": [
"objective"
]
}
},
{
"name": "edit",
"description": "Edit an existing UTF-8 text file by replacing literal text.",
"parameters": {
"type": "object",
"properties": {
"file_path": {
"type": "string",
"description": "Path to edit, resolved by the filesystem backend."
},
"old_string": {
"type": "string",
"description": "Literal text to replace. Must match exactly."
},
"new_string": {
"type": "string",
"description": "Literal replacement text. Use an empty string to delete the match."
},
"replace_all": {
"type": "boolean",
"description": "Replace all matches. Defaults to false; when false, old_string must appear exactly once."
},
"sandbox_permissions": {
"type": "string",
"description": "The wider sandbox mode this file operation needs. Only valid as a one-shot retry of an operation the sandbox just denied; requires justification and user approval.",
"enum": [
"workspace-write",
"danger-full-access"
]
},
"justification": {
"type": "string",
"description": "Required with sandbox_permissions: one sentence for the user explaining why this exact file operation needs the wider access."
}
},
"required": [
"file_path",
"old_string",
"new_string"
]
}
},
{
"name": "get_goal",
"description": "Read the current same-session goal, including its exact id/revision, objective, phase, completed continuation rounds, round limit, blocker reason when present, and whether another continuation is armed. Call this before updating a goal.",
"parameters": {
"type": "object",
"properties": {}
}
},
{
"name": "lsp",
"description": "Query a language server for precise code navigation. operation is one of goToDefinition, findReferences, goToImplementation, hover. line and character are one-based UTF-16 cursor coordinates. findReferences includes the declaration.",
"parameters": {
"type": "object",
"properties": {
"operation": {
"type": "string",
"description": "goToDefinition, findReferences, goToImplementation, or hover.",
"enum": [
"goToDefinition",
"findReferences",
"goToImplementation",
"hover"
]
},
"file_path": {
"type": "string",
"description": "The source file to query, relative to the workspace or absolute."
},
"line": {
"type": "number",
"description": "One-based line of the cursor."
},
"character": {
"type": "number",
"description": "One-based UTF-16 column of the cursor."
}
},
"required": [
"operation",
"file_path",
"line",
"character"
]
}
},
{
"name": "ralph",
"description": "Run a foreground fresh-agent Ralph loop toward one immutable objective. Use only when the direct human explicitly asks for Ralph or fresh-agent iteration. Each round opens a new child with no parent conversation or prior child session; the shared workspace is long-term memory, and only a bounded structured report crosses rounds. The call returns when a worker reports completion or a concrete blocker, or at the round limit. Ordinary long-running same-session work belongs to goal tools.",
"parameters": {
"type": "object",
"properties": {
"objective": {
"type": "string",
"description": "The immutable completion objective for every fresh Ralph round."
},
"maxRounds": {
"type": "number",
"description": "Optional positive safe-integer round cap, bounded by the deployment ceiling."
}
},
"required": [
"objective"
]
}
},
{
"name": "read",
"description": "Read a UTF-8 text file and return line-numbered content.",
"parameters": {
"type": "object",
"properties": {
"file_path": {
"type": "string",
"description": "Path to read, resolved by the filesystem backend."
},
"offset": {
"type": "number",
"description": "1-based first line to return. Defaults to 1."
},
"limit": {
"type": "number",
"description": "Maximum number of lines to return. Defaults to 2000."
}
},
"required": [
"file_path"
]
}
},
{
"name": "skill",
"description": "Load the full instructions for an available skill. Call this with the exact skill name from the session skill catalog before acting on a task that names or clearly matches that skill.",
"parameters": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "The exact skill name from the available skills list."
}
},
"required": [
"name"
]
}
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to return a task id; collect with `task_output` and stop with `task_kill`.",
"parameters": {
"type": "object",
"properties": {
"description": {
"type": "string",
"description": "A short (3-5 word) description of the delegated task, for display."
},
"prompt": {
"type": "string",
"description": "The complete, self-contained task for the subagent. It does not share this conversation's context, so include everything it needs."
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background task and return its id; collect with task_output or stop with task_kill."
}
},
"required": [
"description",
"prompt"
]
}
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps. Set `run_in_background: true` to return a task id; collect with `task_output` and stop with `task_kill`.",
"parameters": {
"type": "object",
"properties": {
"description": {
"type": "string",
"description": "A short (3-5 word) description of the delegated task, for display."
},
"prompt": {
"type": "string",
"description": "The task for the subagent. It already sees this conversation's completed turns, so build on them freely and state only what is new."
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background task and return its id; collect with task_output or stop with task_kill."
}
},
"required": [
"description",
"prompt"
]
}
},
{
"name": "task_kill",
"description": "Request cancellation of a running background task by task id. Returns immediately; the task settles as killed once its work actually stops.",
"parameters": {
"type": "object",
"properties": {
"task_id": {
"type": "string",
"description": "Task id returned by the tool that started the background work."
},
"reason": {
"type": "string",
"description": "Optional short reason, recorded in the log and forwarded to the task."
}
},
"required": [
"task_id"
]
}
},
{
"name": "task_list",
"description": "List your background tasks (running and finished) with their ids, kinds, and statuses.",
"parameters": {
"type": "object",
"properties": {}
}
},
{
"name": "task_output",
"description": "Read a background task. Stream tasks return only output since the previous read; final-output tasks return their result after settlement. Every response ends with `[status: ...]`. Reads are non-blocking unless `wait: true`, which waits up to the configured cap.",
"parameters": {
"type": "object",
"properties": {
"task_id": {
"type": "string",
"description": "Task id returned by the tool that started the background work."
},
"wait": {
"type": "boolean",
"description": "Block until the task reaches a terminal status or the timeout expires. A timed-out wait returns [status: running] and leaves the task alive."
},
"timeout_ms": {
"type": "number",
"description": "Max wait in milliseconds (only meaningful with wait: true). Defaults to the configured wait timeout; capped by the configured maximum."
}
},
"required": [
"task_id"
]
}
},
{
"name": "todo_write",
"description": "Record and update a structured task list for the current work. Send the ENTIRE list every call — it REPLACES the previous list (there are no partial updates, no per-item edits). Use it to plan multi-step work and show progress: add one todo per concrete step before you start. Keep AT MOST ONE todo `in_progress` at a time; while work remains, exactly one active task should be `in_progress`. Mark a todo `completed` the moment it is done (do not batch completions), and allow no `in_progress` item only once all work is complete. Skip the list for trivial single-step tasks. Statuses: `pending` (not started), `in_progress` (being worked on now), `completed` (finished).",
"parameters": {
"type": "object",
"properties": {
"todos": {
"type": "array",
"description": "The COMPLETE task list, replacing any previous list.",
"items": {
"type": "object",
"properties": {
"content": {
"type": "string",
"description": "What the task is — a short imperative line."
},
"status": {
"type": "string",
"description": "pending (not started) | in_progress (now) | completed (done).",
"enum": [
"pending",
"in_progress",
"completed"
]
}
},
"required": [
"content",
"status"
]
}
}
},
"required": [
"todos"
]
}
},
{
"name": "update_goal",
"description": "Update the exact current goal revision. edit, pause, and resume require a direct top-level human request. During an automatic continuation of the current goal, complete and blocked are also allowed. blocked is rejected before the configured minimum round count; the model remains responsible for judging that the same condition persisted across those rounds and must explain it in blocked_reason.",
"parameters": {
"type": "object",
"properties": {
"goal_id": {
"type": "string",
"description": "Exact id returned by get_goal."
},
"revision": {
"type": "number",
"description": "Exact positive revision returned by get_goal."
},
"action": {
"type": "string",
"description": "edit | pause | resume | complete | blocked",
"enum": [
"edit",
"pause",
"resume",
"complete",
"blocked"
]
},
"objective": {
"type": "string",
"description": "Replacement objective; valid only with action edit."
},
"max_goal_rounds": {
"type": "number",
"description": "Replacement cap; valid only with action edit."
},
"blocked_reason": {
"type": "string",
"description": "Concrete blocking condition; required only with action blocked."
}
},
"required": [
"goal_id",
"revision",
"action"
]
}
},
{
"name": "workflow",
"description": "Run a JavaScript workflow script that orchestrates subagents at scale. Use this for work that fans out across many independent pieces — an audit over many files, a migration, multi-angle research, adversarial verification of findings — where you write the orchestration as a script instead of delegating turn by turn.\n\nThe workflow's identity rides the `meta` parameter as JSON: required `name` (short kebab-case) and `description` strings, optional `whenToUse` string and `phases` array (`{title, detail?, provider?, model?}`). The `script` parameter is the plain JavaScript body ONLY (NOT TypeScript, and NO `export const meta` statement — meta is a parameter, not code), running with top-level await; end with `return <value>` — the value must be JSON-serializable and is this tool's result.\n\nScript-body hooks:\n- `agent(prompt, opts?): Promise<any>` — run one subagent to completion. Without `opts.schema` it resolves to the child's final text; with `opts.schema` (an object-rooted JSON Schema using ONLY type/properties/required/additionalProperties/items/enum/const — no oneOf/pattern/format/numeric bounds) it resolves to the validated object. Resolves `null` when the child fails (filter with `.filter(Boolean)`). Other opts: `label` (display), `phase` (progress group), and independent `provider`/`model` LLM target overrides (either may be provided alone). Anything else (`effort`/`isolation`/`agentType`) is rejected loudly.\n- `pipeline(items, ...stages): Promise<any[]>` — run each item through the stages independently with NO barrier between stages (prefer this for multi-stage work). Each stage receives `(prev, item, index)`. An ordinary stage throw drops that ITEM to `null` and skips its remaining stages.\n- `parallel(thunks): Promise<any[]>` — run zero-argument functions concurrently and await ALL of them (a barrier; use only when a stage genuinely needs every prior result together). A throwing thunk resolves to `null`.\n- `phase(title)` — start a progress phase; `log(message)` — narrate progress; `args` — the tool call's `args` input, verbatim.\n\nMisused hooks (bad arguments, unknown options, unsupported schemas, tripped caps) throw errors that ALWAYS kill the script — they never dissolve into a per-item `null`.\n\nConstraints: concurrency and total-agent caps apply; no filesystem, network, timers, or Node.js APIs are provided — the agents do the work, the script only coordinates them. The run executes in the foreground: this call returns when the whole script finishes.",
"parameters": {
"type": "object",
"properties": {
"script": {
"type": "string",
"description": "The plain-JS workflow script body (top-level await allowed; NO `export const meta` statement; end with `return <json-value>`)."
},
"meta": {
"type": "object",
"description": "The workflow identity block (plain JSON — never code).",
"properties": {
"name": {
"type": "string",
"description": "Short kebab-case workflow name."
},
"description": {
"type": "string",
"description": "One-line description of what the workflow does."
},
"whenToUse": {
"type": "string",
"description": "Optional guidance on when this workflow applies."
},
"phases": {
"type": "array",
"description": "Optional phase declarations matched by phase() calls.",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "The phase title phase() calls match by exact string."
},
"detail": {
"type": "string",
"description": "Optional one-line description of the phase."
},
"provider": {
"type": "string",
"description": "Optional provider override this phase is expected to use."
},
"model": {
"type": "string",
"description": "Optional model override this phase is expected to use."
}
},
"required": [
"title"
]
}
}
},
"required": [
"name",
"description"
]
},
"args": {
"type": "object",
"description": "Optional JSON input exposed to the script as the `args` global (wrap a bare list as a field, e.g. {\"files\": [...]})."
}
},
"required": [
"script",
"meta"
]
}
},
{
"name": "write",
"description": "Create or fully replace a UTF-8 text file.",
"parameters": {
"type": "object",
"properties": {
"file_path": {
"type": "string",
"description": "Path to write, resolved by the filesystem backend."
},
"content": {
"type": "string",
"description": "Full UTF-8 text content to write."
},
"sandbox_permissions": {
"type": "string",
"description": "The wider sandbox mode this file operation needs. Only valid as a one-shot retry of an operation the sandbox just denied; requires justification and user approval.",
"enum": [
"workspace-write",
"danger-full-access"
]
},
"justification": {
"type": "string",
"description": "Required with sandbox_permissions: one sentence for the user explaining why this exact file operation needs the wider access."
}
},
"required": [
"file_path",
"content"
]
}
}
],
"changes": []
}
@@ -0,0 +1,57 @@
import { resolve } from 'node:path'
import { pathToFileURL } from 'node:url'
let buffered = Buffer.alloc(0)
function frame(message) {
const body = Buffer.from(JSON.stringify({ jsonrpc: '2.0', ...message }))
return Buffer.concat([Buffer.from(`Content-Length: ${body.length}\r\n\r\n`), body])
}
function location(line) {
return {
uri: pathToFileURL(resolve('subject.ts')).href,
range: { start: { line, character: 6 }, end: { line, character: 12 } },
}
}
function handle(message) {
switch (message.method) {
case 'initialize':
process.stdout.write(frame({
id: message.id,
result: {
capabilities: {
positionEncoding: 'utf-16',
textDocumentSync: 1,
definitionProvider: true,
},
},
}))
break
case 'textDocument/definition':
process.stdout.write(frame({ id: message.id, result: [location(0), location(1)] }))
break
case 'shutdown':
process.stdout.write(frame({ id: message.id, result: null }))
break
case 'exit':
process.exit(0)
}
}
process.stdin.on('data', (chunk) => {
buffered = Buffer.concat([buffered, chunk])
for (;;) {
const headerEnd = buffered.indexOf('\r\n\r\n')
if (headerEnd < 0) return
const match = /Content-Length: (\d+)/i.exec(buffered.toString('ascii', 0, headerEnd))
if (match === null) throw new Error('missing Content-Length')
const length = Number(match[1])
const bodyStart = headerEnd + 4
if (buffered.length < bodyStart + length) return
const message = JSON.parse(buffered.toString('utf8', bodyStart, bodyStart + length))
buffered = buffered.subarray(bodyStart + length)
handle(message)
}
})
@@ -0,0 +1,2 @@
export const answer = 42
console.log(answer)
+3
View File
@@ -20,6 +20,8 @@ flowchart LR
cfg --> plugin_cordis_web
plugin_cordis_web_fetch_local["web-fetch-local<br/>@deepseek-ai/dsh-web-fetch-local"]
cfg --> plugin_cordis_web_fetch_local
plugin_cordis_token_meter["token-meter<br/>@deepseek-ai/dsh-token-meter"]
cfg --> plugin_cordis_token_meter
plugin_cordis_tui_agent["tui-agent<br/>@deepseek-ai/dsh-tui-demo"]
cfg --> plugin_cordis_tui_agent
plugin_cordis_tui_agent --> bundle_agent_core["@deepseek-ai/dsh-agent-spine-demo"]
@@ -41,6 +43,7 @@ flowchart LR
| `fs-local` | `@deepseek-ai/dsh-fs-local` |
| `web` | `@deepseek-ai/dsh-web` |
| `web-fetch-local` | `@deepseek-ai/dsh-web-fetch-local` |
| `token-meter` | `@deepseek-ai/dsh-token-meter` |
| `tui-agent` | `@deepseek-ai/dsh-tui-demo` |
| `tool-cordis` | `@deepseek-ai/dsh-tool-cordis` |
+3
View File
@@ -44,6 +44,9 @@
- id: web-fetch-local
name: '@deepseek-ai/dsh-web-fetch-local'
- id: token-meter
name: '@deepseek-ai/dsh-token-meter'
# The app bundle pre-creates the self-referential demo's `main` agent.
- id: tui-agent
name: '@deepseek-ai/dsh-tui-demo'
+3
View File
@@ -21,6 +21,8 @@ flowchart LR
bundle_agent_core --> spine_sessions["ctx.sessions"]
bundle_agent_core --> spine_tools["ctx.tools + tool-bash"]
bundle_agent_core --> spine_loop["ctx.agents + ctx.agentLoop"]
plugin_headless_token_meter["token-meter<br/>@deepseek-ai/dsh-token-meter"]
cfg --> plugin_headless_token_meter
plugin_headless_compact_basic["compact-basic<br/>@deepseek-ai/dsh-compact-basic"]
cfg --> plugin_headless_compact_basic
plugin_headless_subagent["subagent<br/>@deepseek-ai/dsh-subagent"]
@@ -54,6 +56,7 @@ flowchart LR
| `llm-deepseek` | `@deepseek-ai/dsh-llm-deepseek` |
| `bash` | `@deepseek-ai/dsh-bash-local` |
| `cli-agent` | `@deepseek-ai/dsh-cli-demo` |
| `token-meter` | `@deepseek-ai/dsh-token-meter` |
| `compact-basic` | `@deepseek-ai/dsh-compact-basic` |
| `subagent` | `@deepseek-ai/dsh-subagent` |
| `subagent-spawn` | `@deepseek-ai/dsh-subagent-spawn` |
+6 -3
View File
@@ -11,7 +11,9 @@
baseURL: !!js process.env.DEEPSEEK_BASE_URL
models:
- id: deepseek-v4-pro
contextWindow: 128000
- id: deepseek-v4-flash
contextWindow: 128000
- id: bash
name: '@deepseek-ai/dsh-bash-local'
@@ -35,13 +37,14 @@
factual.
# Summarize an older range when derived history approaches the context window.
- id: token-meter
name: '@deepseek-ai/dsh-token-meter'
- id: compact-basic
name: '@deepseek-ai/dsh-compact-basic'
config:
contextWindow: 128000
thresholdRatio: 0.8
retainTokens: 20480
summarizationModel: ''
retainRatio: 0.16
maxTokens: 8192
compactionRetries: 1
@@ -33,9 +33,7 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('compaction: a long session compa
// Reasoning tokens require a larger generation cap than the retained checkpoint.
ctx = await codingHarness(workdir, {
persona: SYSTEM_PROMPT,
tokenMeter: {
contextWindow: 2000,
},
modelContextWindow: 2000,
compact: {
thresholdRatio: 0.5,
retainTokens: 400,
+7 -7
View File
@@ -8,7 +8,6 @@ import * as ToolBash from '@deepseek-ai/dsh-tool-bash'
import * as ToolTodo from '@deepseek-ai/dsh-tool-todo'
import * as LlmDeepSeek from '@deepseek-ai/dsh-llm-deepseek'
import TokenMeterService from '@deepseek-ai/dsh-token-meter'
import type { TokenMeterConfig } from '@deepseek-ai/dsh-token-meter'
import ToolResultPruneService from '@deepseek-ai/dsh-compact-tool-result-prune'
import SessionPersistenceJsonl from '@deepseek-ai/dsh-session-persistence-jsonl'
import { BasicCompactService } from '@deepseek-ai/dsh-compact-basic'
@@ -46,8 +45,8 @@ export interface CodingHarnessOptions {
* compaction plugin (the default suites run without it).
*/
compact?: BasicCompactConfig
/** Optional token-meter capacity loaded before compact-basic. */
tokenMeter?: TokenMeterConfig
/** Test-only context capacity advertised for `deepseek-v4-flash`. */
modelContextWindow?: number
}
export async function codingHarness(workdir: string, options: CodingHarnessOptions = {}): Promise<Context> {
@@ -56,14 +55,15 @@ export async function codingHarness(workdir: string, options: CodingHarnessOptio
systemPrompt: { persona: options.persona ?? '' },
})
await ctx.plugin(AgentLoop, { agents: [] })
await ctx.plugin(LlmDeepSeek)
await ctx.plugin(LlmDeepSeek, options.modelContextWindow === undefined ? {} : {
models: [{ id: 'deepseek-v4-flash', contextWindow: options.modelContextWindow }],
})
await ctx.plugin(LocalBashExecutor, { cwd: workdir, timeoutMs: 30_000 })
await ctx.plugin(ToolBash)
await ctx.plugin(ToolTodo)
// Compaction is opt-in: only the compaction e2e loads the reusable meter and
// backend, with a lower context window so a short real session crosses the threshold.
// Compaction is opt-in: only the compaction e2e loads the reusable meter and backend.
if (options.compact !== undefined) {
await ctx.plugin(TokenMeterService, options.tokenMeter)
await ctx.plugin(TokenMeterService)
await ctx.plugin(ToolResultPruneService)
await ctx.plugin(BasicCompactService, options.compact)
}
+4 -3
View File
@@ -63,12 +63,13 @@
- id: tool-fs
name: '@deepseek-ai/dsh-tool-fs'
- id: token-meter
name: '@deepseek-ai/dsh-token-meter'
- id: compact-basic
name: '@deepseek-ai/dsh-compact-basic'
config:
contextWindow: 128000
thresholdRatio: 0.8
retainTokens: 20480
summarizationModel: ''
retainRatio: 0.16
maxTokens: 8192
compactionRetries: 1
+4
View File
@@ -27,6 +27,8 @@
"@deepseek-ai/dsh-llm": "workspace:*",
"@deepseek-ai/dsh-llm-deepseek": "workspace:*",
"@deepseek-ai/dsh-llm-replay": "workspace:*",
"@deepseek-ai/dsh-lsp": "workspace:*",
"@deepseek-ai/dsh-lsp-local": "workspace:*",
"@deepseek-ai/dsh-permission": "workspace:*",
"@deepseek-ai/dsh-repeat-tool-guard": "workspace:*",
"@deepseek-ai/dsh-sandbox-local": "workspace:*",
@@ -36,6 +38,7 @@
"@deepseek-ai/dsh-spill-policy": "workspace:*",
"@deepseek-ai/dsh-tui-demo": "workspace:*",
"@deepseek-ai/dsh-subagent": "workspace:*",
"@deepseek-ai/dsh-subagent-acp": "workspace:*",
"@deepseek-ai/dsh-subagent-fork": "workspace:*",
"@deepseek-ai/dsh-subagent-spawn": "workspace:*",
"@deepseek-ai/dsh-time-context": "workspace:*",
@@ -45,6 +48,7 @@
"@deepseek-ai/dsh-tool-fs": "workspace:*",
"@deepseek-ai/dsh-tool-fs-search": "workspace:*",
"@deepseek-ai/dsh-tool-goal": "workspace:*",
"@deepseek-ai/dsh-tool-lsp": "workspace:*",
"@deepseek-ai/dsh-tool-ralph": "workspace:*",
"@deepseek-ai/dsh-tool-subagent": "workspace:*",
"@deepseek-ai/dsh-tool-todo": "workspace:*",
+1 -1
View File
@@ -10,7 +10,7 @@ pnpm run demo:tui
The command needs `DEEPSEEK_API_KEY` in the environment or gitignored repository-root `.env`. Set `RESUME_SESSION_ID` to reopen a persisted conversation under `./.sessions`.
The TUI renders Markdown history, reasoning, tool-owned terminal/diff/generic cards, token totals, and the latest todo list. Enter submits or steers while the agent runs; Ctrl+O expands cards, Ctrl+R toggles reasoning, Escape cancels, and `/help` lists commands. `ask_user_question` opens a keyboard-driven overlay.
The TUI renders Markdown history, reasoning, tool-owned terminal/diff/generic cards, token totals, and the latest todo list. Long tool bodies keep a head/tail preview; Ctrl+O expands or collapses every card. Enter submits or steers while the agent runs, Ctrl+R toggles reasoning, Escape cancels, and `/help` lists commands. `/model` opens a keyboard selector for the current provider catalog; use Up/Down and Enter, or `/model <model>` and `/model <provider>/<model>` for direct selection. `ask_user_question` opens a wide bottom-left keyboard panel with batch progress and numbered options.
Run `pnpm run demo:code-mode tui` for the Code Mode overlay.
+1 -1
View File
@@ -19,7 +19,7 @@
welcome: 'TUI Code Mode ready. Give it a multi-tool task.'
ui:
showReasoning: true
maxToolOutputLines: 12
maxToolOutputLines: 6
persona: |
You are a coding agent powered by the {{model}} model.
+1 -1
View File
@@ -31,7 +31,7 @@
welcome: 'TUI agent ready. Give it a coding task.'
ui:
showReasoning: true
maxToolOutputLines: 12
maxToolOutputLines: 6
persona: |
You are a coding agent powered by the {{model}} model.
+16 -2
View File
@@ -1,5 +1,5 @@
import type { Context } from 'cordis'
import type { GenerateOptions, StreamChunk } from '@deepseek-ai/dsh-llm'
import type { GenerateOptions, LlmModelContext, LlmModelInfo, StreamChunk } from '@deepseek-ai/dsh-llm'
import { CallId, LlmAdapter } from '@deepseek-ai/dsh-llm'
const CONTROL_PROBE = '\u001b]2;MODEL_CONTROLLED\u0007\u001b[999CMODEL_CURSOR\u009b31mMODEL_C1'
@@ -18,7 +18,21 @@ function textChunks(text: string): StreamChunk[] {
/** Keyless two-step adapter for the real-PTY TUI conversation test. */
class ScriptedTuiAdapter extends LlmAdapter {
async * stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
override listModels(provider: string): Promise<readonly LlmModelInfo[]> {
return Promise.resolve([
{ provider, id: 'tui-scripted-model', name: 'Scripted Base' },
{ provider, id: 'tui-scripted-model-pro', name: 'Scripted Pro' },
])
}
override resolveModelContext(_provider: string, _model: string): Promise<LlmModelContext> {
return Promise.resolve({ contextWindow: 128_000 })
}
override async * stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
if (options.model !== 'tui-scripted-model-pro' || !options.system?.includes('tui-scripted-model-pro')) {
throw new Error('the scripted TUI request did not apply the selected model to routing and prompt variables')
}
const hasToolResult = options.messages.at(-1)?.content.some(block => block.type === 'tool-result') ?? false
if (hasToolResult) {
for (const chunk of textChunks(FINAL_TEXT)) yield chunk
@@ -12,6 +12,9 @@
config:
cwd: !!js process.cwd()
- id: token-meter
name: '@deepseek-ai/dsh-token-meter'
- id: tui-agent
name: '@deepseek-ai/dsh-tui-demo'
config:
@@ -21,5 +24,6 @@
workspaceContext:
maxBytes: 65536
welcome: 'scripted TUI ready.'
persona: 'Scripted model {{model}}.'
ui:
showReasoning: true
@@ -67,7 +67,7 @@ buffer
style 1-1 inverse
28| "────────────────────────────────────────────────────────────────────────────────────────────────────"
style 0-99 dim
29| "/workspace/project ↑3.0k ↓115 idle reasoning:on tools:compact"
style 0-58 dim
style 67-99 dim
29| "/tmp/dsh-tui-snapshot-bash-te ↑3.0k ↓115 3% context tools:compact deepseek-v4-flash(reasoning:on)"
style 0-28 dim
style 42-99 dim
30-35| <blank>
@@ -73,7 +73,7 @@ buffer
style 1-1 inverse
30| "────────────────────────────────────────────────────────────────────────────────────────────────────"
style 0-99 dim
31| "/workspace/project ↑3.1k ↓158 idle reasoning:on tools:compact"
style 0-49 dim
style 67-99 dim
31| "/tmp/dsh-tui-snapshot-code-mo ↑3.1k ↓158 3% context tools:compact deepseek-v4-flash(reasoning:on)"
style 0-28 dim
style 42-99 dim
32-35| <blank>
@@ -111,6 +111,6 @@ buffer
style 1-1 inverse
48| "────────────────────────────────────────────────────────────────────────────────────────────────────"
style 0-99 dim
49| "/workspace/project ↑18 ↓18 idle reasoning:on tools:compact"
style 0-61 dim
style 67-99 dim
49| "/tmp/dsh-tui-snapshot-cordis-dyn ↑18 ↓18 7% context tools:compact deepseek-v4-flash(reasoning:on)"
style 0-31 dim
style 42-99 dim
@@ -101,6 +101,6 @@ buffer
style 1-1 inverse
45| "────────────────────────────────────────────────────────────────────────────────────────────────────"
style 0-99 dim
46| "/workspace/project ↑3.5k ↓227 idle reasoning:on tools:compact"
style 0-56 dim
style 67-99 dim
46| "/tmp/dsh-tui-snapshot-dynamic ↑3.5k ↓227 3% context tools:compact deepseek-v4-flash(reasoning:on)"
style 0-28 dim
style 42-99 dim
@@ -64,7 +64,7 @@ buffer
style 1-1 inverse
29| "────────────────────────────────────────────────────────────────────────────────────────────────────"
style 0-99 dim
30| "/workspace/project ↑2.9k ↓41 idle reasoning:on tools:compact"
style 0-62 dim
style 67-99 dim
30| "/tmp/dsh-tui-snapshot-multi-tu ↑2.9k ↓41 3% context tools:compact deepseek-v4-flash(reasoning:on)"
style 0-29 dim
style 42-99 dim
31-35| <blank>
@@ -86,6 +86,6 @@ buffer
style 1-1 inverse
37| "────────────────────────────────────────────────────────────────────────────────────────────────────"
style 0-99 dim
38| "/workspace/project ↑20 ↓6 idle reasoning:on tools:compact"
style 0-55 dim
style 67-99 dim
38| "/tmp/dsh-tui-snapshot-parallel-fi ↑20 ↓6 3% context tools:compact deepseek-v4-flash(reasoning:on)"
style 0-32 dim
style 42-99 dim
@@ -76,6 +76,6 @@ buffer
style 1-1 inverse
34| "────────────────────────────────────────────────────────────────────────────────────────────────────"
style 0-99 dim
35| "/workspace/project ↑3.1k ↓145 idle reasoning:on tools:compact"
style 0-49 dim
style 67-99 dim
35| "/tmp/dsh-tui-snapshot-todo-pl ↑3.1k ↓145 3% context tools:compact deepseek-v4-flash(reasoning:on)"
style 0-28 dim
style 42-99 dim
@@ -24,7 +24,7 @@ describe('tui-agent keyless smoke (real Loader tree in a PTY)', () => {
expect(output).toContain('\u001B[?2004l')
}, LOADER_SMOKE_TEST_TIMEOUT_MS)
it('streams a response, answers a user-question dialog, completes the tool round-trip, and exits cleanly', async () => {
it('switches models, streams a response, answers a user-question dialog, and exits cleanly', async () => {
const output = await runTuiPtySmoke({
label: 'tui-agent conversation',
tempDirPrefix: 'tui-agent-conversation-',
@@ -32,7 +32,9 @@ describe('tui-agent keyless smoke (real Loader tree in a PTY)', () => {
configPath: scriptedConfigPath,
tsconfigPath,
actions: [
{ waitFor: 'scripted TUI ready.', send: 'exercise the TUI\r' },
{ waitFor: 'scripted TUI ready.', send: '/model\r' },
{ waitFor: 'Select model', send: '\x1b[B\r' },
{ waitFor: 'Model selected: tui-scripted/tui-scripted-model-pro.', send: 'exercise the TUI\r' },
{ waitFor: 'How should the scripted run proceed?', send: '\r' },
{ waitFor: 'Decision received. Scripted TUI run complete.', send: '/exit\r' },
],
+3 -1
View File
@@ -15,6 +15,7 @@ import * as FsPolicy from '@deepseek-ai/dsh-fs-policy'
import * as ToolFs from '@deepseek-ai/dsh-tool-fs'
import * as LlmDeepSeek from '@deepseek-ai/dsh-llm-deepseek'
import { installLlmReplay, parseSessionLog } from '@deepseek-ai/dsh-llm-replay'
import TokenMeterService from '@deepseek-ai/dsh-token-meter'
import type { Session, SessionEvent } from '@deepseek-ai/dsh-session'
import { SessionId } from '@deepseek-ai/dsh-session'
import SubagentService from '@deepseek-ai/dsh-subagent'
@@ -32,7 +33,7 @@ import { HeadlessTerminal } from '../../../packages/ui/tui/tests/headless-termin
const SNAPSHOTS_DIR = join(dirname(fileURLToPath(import.meta.url)), 'snapshots')
// Keep pre-normalization layout widths identical across macOS and Linux.
const SNAPSHOT_TMP_ROOT = process.platform === 'win32' ? tmpdir() : '/tmp'
const PROVIDERS = [{ id: 'deepseek', models: [{ id: 'deepseek-v4-flash' }] }]
const PROVIDERS = [{ id: 'deepseek', models: [{ id: 'deepseek-v4-flash', contextWindow: 128_000 }] }]
const UUID_RE = /[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}/gi
type SnapshotMode = 'replay' | 'record' | 'refresh'
@@ -170,6 +171,7 @@ async function mountScenarioContext(
tools: { mode: scenario.composition === 'code' ? 'code' : scenario.composition === 'advanced' ? 'both' : 'native' },
skills: { local: { agentsHome: join(cwd, '.agents') } },
})
await ctx.plugin(TokenMeterService)
await ctx.plugin(LocalBashExecutor, { cwd, timeoutMs: 30_000 })
await ctx.plugin(LocalFileSystem, { cwd: '/' })
await ctx.plugin(FsPolicy)