Merge remote-tracking branch 'origin/master' into codex/skill-system

# Conflicts:
#	docs/event-producer-consumer.md
#	docs/module-graph.md
#	docs/rfc/README.md
#	packages/core/agent-core/package.json
#	packages/core/agent-core/src/index.ts
#	packages/core/agent-loop/README.md
#	packages/core/agent-loop/src/index.ts
#	packages/ui/acp-agent/src/index.ts
#	packages/ui/acp-agent/tests/acp-agent.spec.ts
#	packages/ui/stdio-agent/README.md
#	packages/ui/stdio-agent/src/index.ts
#	packages/ui/stdio-agent/tests/stdio-agent.spec.ts
This commit is contained in:
Yichen Jiang
2026-07-06 10:09:26 +08:00
205 changed files with 2738 additions and 1268 deletions

View File

@@ -28,9 +28,8 @@
- deepseek-v4-pro
- deepseek-v4-flash
# Local bash executor for agent-core's tool-bash schema.
# FIXME(config-comments): keep this executor note from implying bash is the
# whole tool set; filesystem, subagent, and todo_write are loaded below.
# Local bash executor for agent-core's tool-bash schema (one of several tool
# stacks in this tree: filesystem, subagent, and todo_write load below).
- id: bash
name: '@deepseek-ai/dsh-bash-local'
config:
@@ -46,33 +45,16 @@
# under ./.sessions); unset starts a fresh session each run.
resumeSessionId: !!js process.env.RESUME_SESSION_ID
persistenceRoot: './.sessions'
welcome: 'agent REPL ready. Give it a coding task (its tools are read, write, edit, bash, subagent, and todo_write).'
systemPrompt: |
You are coding-agent, a CLI coding assistant.
welcome: 'agent REPL ready. Give it a coding task.'
# The persona: identity + behavior only, nothing about transports or
# tooling — tool guidance lives with each tool plugin (descriptions +
# prompt sections). {{model}} is the prompt variable the agent loop
# resolves from this agent's configured model.
persona: |
You are coding-agent, a coding assistant powered by the {{model}} model.
Your tools are read/write/edit for file operations, bash (plus
bash_output/bash_kill for background tasks), and subagent. Use read to
inspect UTF-8 text files, write to create or replace files, and edit for
targeted literal replacements. Use bash for shell commands, tests,
searches, and operations that are not ordinary file reads or edits. Each
bash call runs in a fresh shell — pass workdir instead of cd, and never
rely on shell state between calls.
Use the subagent tool to delegate a focused, self-contained subtask
to a fresh child agent (it works in its own context and returns only
its final result) — give it a complete, standalone instruction. Use
subagent_fork instead when the subtask needs THIS conversation's
context: the child inherits the log so far.
Check the [exit code: N] marker on every command; investigate
failures before moving on. Verify your work by running the code or
tests. Keep answers brief and factual.
For multi-step work, use the todo_write tool to track a task list:
send the WHOLE list each call (it replaces the previous one), keep at
most one task in_progress (exactly one while work remains), and mark a
task completed as soon as it is done. Skip it for trivial single-step
tasks.
Verify your work by running the code or tests. Keep answers brief and
factual.
# Automatic context compaction: when the derived history approaches the model's
# context window, summarize an older range into a checkpoint so a long-running

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@@ -53,11 +53,8 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('coding task: fix a failing test
const before = spawnSync('node', ['add.test.js'], { cwd: workdir })
expect(before.status).not.toBe(0)
ctx = await codingHarness(workdir)
const agent = ctx.agentLoop.create(AgentId('e2e-task'), {
model: 'deepseek-v4-flash',
systemPrompt: SYSTEM_PROMPT,
})
ctx = await codingHarness(workdir, { persona: SYSTEM_PROMPT })
const agent = ctx.agentLoop.create(AgentId('e2e-task'), { model: 'deepseek-v4-flash' })
agent.send([{
type: 'text',

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@@ -53,6 +53,7 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('compaction: a long session compa
// budget even though those blocks are stripped before the checkpoint is
// stored.
ctx = await codingHarness(workdir, {
persona: SYSTEM_PROMPT,
compact: {
contextWindow: 2400,
thresholdRatio: 0.5,
@@ -63,10 +64,7 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('compaction: a long session compa
},
persistenceRoot: './.sessions',
})
const agent = ctx.agentLoop.create(AgentId('e2e-compaction'), {
model: 'deepseek-v4-flash',
systemPrompt: SYSTEM_PROMPT,
})
const agent = ctx.agentLoop.create(AgentId('e2e-compaction'), { model: 'deepseek-v4-flash' })
agent.send([{
type: 'text',

View File

@@ -20,11 +20,8 @@ afterEach(async () => {
describe.skipIf(!process.env.DEEPSEEK_API_KEY)('full loop: real model + real bash tool', () => {
it('runs a bash command on request and reports its output', async () => {
ctx = await codingHarness(process.cwd())
const agent = ctx.agentLoop.create(AgentId('e2e-loop'), {
model: 'deepseek-v4-flash',
systemPrompt: SYSTEM_PROMPT,
})
ctx = await codingHarness(process.cwd(), { persona: SYSTEM_PROMPT })
const agent = ctx.agentLoop.create(AgentId('e2e-loop'), { model: 'deepseek-v4-flash' })
agent.send([{ type: 'text', text: 'Run `echo e2e-ok` with the bash tool and tell me its exact output.' }])
await waitForIdle(ctx, agent)

View File

@@ -33,6 +33,11 @@ export const TODO_SYSTEM_PROMPT = 'You are a coding agent. For multi-step work,
/** Options for {@link codingHarness}. */
export interface CodingHarnessOptions {
/**
* Deployment persona for the tree (the system-prompt plugin's `persona`
* config — per-context, not per-agent). Omitted ⇒ no persona section.
*/
persona?: string
/** Durable JSONL persistence root (the resume suite needs it; others stay file-free). */
persistenceRoot?: string
/**
@@ -47,7 +52,7 @@ export async function codingHarness(workdir: string, options: CodingHarnessOptio
const ctx = new Context()
await ctx.plugin(LlmService)
await ctx.plugin(SessionStore)
await ctx.plugin(SystemPrompt)
await ctx.plugin(SystemPrompt, { persona: options.persona ?? '' })
await ctx.plugin(ToolRegistry)
await ctx.plugin(AgentRegistry)
await ctx.plugin(AgentLoop, { agents: [] })

View File

@@ -38,11 +38,11 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('resume: continue a persisted ses
// Run 1: a fresh agent on a KNOWN session id learns a secret, then we
// dispose the whole context (simulating process exit) so only the JSONL
// log on disk survives.
ctx = await codingHarness(process.cwd(), { persistenceRoot: root })
ctx = await codingHarness(process.cwd(), { persona: SYSTEM_PROMPT, persistenceRoot: root })
const first = ctx.agents.create({
agentId: AgentId('resume-1'),
sessionId: SESSION_ID,
agentOptions: { model: 'deepseek-v4-flash', systemPrompt: SYSTEM_PROMPT },
agentOptions: { model: 'deepseek-v4-flash' },
}).agent as ReactLoopAgent
first.send([{ type: 'text', text: `Remember this code for later: ${SECRET}. Just acknowledge it.` }])
await waitForIdle(ctx, first)
@@ -52,11 +52,11 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('resume: continue a persisted ses
// Run 2: a brand-new context over the SAME root resumes the persisted
// session. The loaded event log seeds the live session, so the model sees
// run 1's exchange as conversation history.
ctx = await codingHarness(process.cwd(), { persistenceRoot: root })
ctx = await codingHarness(process.cwd(), { persona: SYSTEM_PROMPT, persistenceRoot: root })
const resumed = (await ctx.agents.resume({
agentId: AgentId('resume-2'),
resumeSessionId: SESSION_ID,
agentOptions: { model: 'deepseek-v4-flash', systemPrompt: SYSTEM_PROMPT },
agentOptions: { model: 'deepseek-v4-flash' },
})).agent as ReactLoopAgent
expect(resumed.session.id).toBe(SESSION_ID)
// The prior user turn is in the rehydrated log before the model is asked.

View File

@@ -18,11 +18,8 @@ afterEach(async () => {
describe.skipIf(!process.env.DEEPSEEK_API_KEY)('todo_write: real model records a plan', () => {
it('appends a todo/write event with the model-produced task list', async () => {
ctx = await codingHarness(process.cwd())
const agent = ctx.agentLoop.create(AgentId('e2e-todo'), {
model: 'deepseek-v4-flash',
systemPrompt: TODO_SYSTEM_PROMPT,
})
ctx = await codingHarness(process.cwd(), { persona: TODO_SYSTEM_PROMPT })
const agent = ctx.agentLoop.create(AgentId('e2e-todo'), { model: 'deepseek-v4-flash' })
agent.send([{ type: 'text', text:
'Use the todo_write tool to record a plan of exactly two steps: first '