mirror of
https://github.com/deepseek-ai/deepseek-harness
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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:
@@ -28,9 +28,8 @@
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- deepseek-v4-pro
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- deepseek-v4-flash
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# Local bash executor for agent-core's tool-bash schema.
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# FIXME(config-comments): keep this executor note from implying bash is the
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# whole tool set; filesystem, subagent, and todo_write are loaded below.
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# Local bash executor for agent-core's tool-bash schema (one of several tool
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# stacks in this tree: filesystem, subagent, and todo_write load below).
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- id: bash
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name: '@deepseek-ai/dsh-bash-local'
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config:
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@@ -46,33 +45,16 @@
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# under ./.sessions); unset starts a fresh session each run.
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resumeSessionId: !!js process.env.RESUME_SESSION_ID
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persistenceRoot: './.sessions'
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welcome: 'agent REPL ready. Give it a coding task (its tools are read, write, edit, bash, subagent, and todo_write).'
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systemPrompt: |
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You are coding-agent, a CLI coding assistant.
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welcome: 'agent REPL ready. Give it a coding task.'
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# The persona: identity + behavior only, nothing about transports or
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# tooling — tool guidance lives with each tool plugin (descriptions +
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# prompt sections). {{model}} is the prompt variable the agent loop
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# resolves from this agent's configured model.
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persona: |
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You are coding-agent, a coding assistant powered by the {{model}} model.
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Your tools are read/write/edit for file operations, bash (plus
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bash_output/bash_kill for background tasks), and subagent. Use read to
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inspect UTF-8 text files, write to create or replace files, and edit for
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targeted literal replacements. Use bash for shell commands, tests,
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searches, and operations that are not ordinary file reads or edits. Each
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bash call runs in a fresh shell — pass workdir instead of cd, and never
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rely on shell state between calls.
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Use the subagent tool to delegate a focused, self-contained subtask
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to a fresh child agent (it works in its own context and returns only
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its final result) — give it a complete, standalone instruction. Use
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subagent_fork instead when the subtask needs THIS conversation's
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context: the child inherits the log so far.
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Check the [exit code: N] marker on every command; investigate
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failures before moving on. Verify your work by running the code or
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tests. Keep answers brief and factual.
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For multi-step work, use the todo_write tool to track a task list:
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send the WHOLE list each call (it replaces the previous one), keep at
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most one task in_progress (exactly one while work remains), and mark a
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task completed as soon as it is done. Skip it for trivial single-step
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tasks.
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Verify your work by running the code or tests. Keep answers brief and
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factual.
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# Automatic context compaction: when the derived history approaches the model's
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# 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
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const before = spawnSync('node', ['add.test.js'], { cwd: workdir })
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expect(before.status).not.toBe(0)
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ctx = await codingHarness(workdir)
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const agent = ctx.agentLoop.create(AgentId('e2e-task'), {
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model: 'deepseek-v4-flash',
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systemPrompt: SYSTEM_PROMPT,
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})
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ctx = await codingHarness(workdir, { persona: SYSTEM_PROMPT })
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const agent = ctx.agentLoop.create(AgentId('e2e-task'), { model: 'deepseek-v4-flash' })
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agent.send([{
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type: 'text',
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@@ -53,6 +53,7 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('compaction: a long session compa
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// budget even though those blocks are stripped before the checkpoint is
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// stored.
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ctx = await codingHarness(workdir, {
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persona: SYSTEM_PROMPT,
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compact: {
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contextWindow: 2400,
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thresholdRatio: 0.5,
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@@ -63,10 +64,7 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('compaction: a long session compa
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},
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persistenceRoot: './.sessions',
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})
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const agent = ctx.agentLoop.create(AgentId('e2e-compaction'), {
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model: 'deepseek-v4-flash',
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systemPrompt: SYSTEM_PROMPT,
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})
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const agent = ctx.agentLoop.create(AgentId('e2e-compaction'), { model: 'deepseek-v4-flash' })
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agent.send([{
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type: 'text',
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@@ -20,11 +20,8 @@ afterEach(async () => {
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describe.skipIf(!process.env.DEEPSEEK_API_KEY)('full loop: real model + real bash tool', () => {
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it('runs a bash command on request and reports its output', async () => {
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ctx = await codingHarness(process.cwd())
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const agent = ctx.agentLoop.create(AgentId('e2e-loop'), {
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model: 'deepseek-v4-flash',
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systemPrompt: SYSTEM_PROMPT,
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})
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ctx = await codingHarness(process.cwd(), { persona: SYSTEM_PROMPT })
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const agent = ctx.agentLoop.create(AgentId('e2e-loop'), { model: 'deepseek-v4-flash' })
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agent.send([{ type: 'text', text: 'Run `echo e2e-ok` with the bash tool and tell me its exact output.' }])
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await waitForIdle(ctx, agent)
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@@ -33,6 +33,11 @@ export const TODO_SYSTEM_PROMPT = 'You are a coding agent. For multi-step work,
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/** Options for {@link codingHarness}. */
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export interface CodingHarnessOptions {
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/**
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* Deployment persona for the tree (the system-prompt plugin's `persona`
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* config — per-context, not per-agent). Omitted ⇒ no persona section.
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*/
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persona?: string
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/** Durable JSONL persistence root (the resume suite needs it; others stay file-free). */
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persistenceRoot?: string
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/**
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@@ -47,7 +52,7 @@ export async function codingHarness(workdir: string, options: CodingHarnessOptio
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const ctx = new Context()
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await ctx.plugin(LlmService)
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await ctx.plugin(SessionStore)
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await ctx.plugin(SystemPrompt)
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await ctx.plugin(SystemPrompt, { persona: options.persona ?? '' })
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await ctx.plugin(ToolRegistry)
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await ctx.plugin(AgentRegistry)
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await ctx.plugin(AgentLoop, { agents: [] })
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@@ -38,11 +38,11 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('resume: continue a persisted ses
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// Run 1: a fresh agent on a KNOWN session id learns a secret, then we
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// dispose the whole context (simulating process exit) so only the JSONL
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// log on disk survives.
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ctx = await codingHarness(process.cwd(), { persistenceRoot: root })
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ctx = await codingHarness(process.cwd(), { persona: SYSTEM_PROMPT, persistenceRoot: root })
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const first = ctx.agents.create({
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agentId: AgentId('resume-1'),
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sessionId: SESSION_ID,
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agentOptions: { model: 'deepseek-v4-flash', systemPrompt: SYSTEM_PROMPT },
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agentOptions: { model: 'deepseek-v4-flash' },
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}).agent as ReactLoopAgent
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first.send([{ type: 'text', text: `Remember this code for later: ${SECRET}. Just acknowledge it.` }])
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await waitForIdle(ctx, first)
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@@ -52,11 +52,11 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('resume: continue a persisted ses
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// Run 2: a brand-new context over the SAME root resumes the persisted
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// session. The loaded event log seeds the live session, so the model sees
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// run 1's exchange as conversation history.
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ctx = await codingHarness(process.cwd(), { persistenceRoot: root })
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ctx = await codingHarness(process.cwd(), { persona: SYSTEM_PROMPT, persistenceRoot: root })
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const resumed = (await ctx.agents.resume({
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agentId: AgentId('resume-2'),
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resumeSessionId: SESSION_ID,
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agentOptions: { model: 'deepseek-v4-flash', systemPrompt: SYSTEM_PROMPT },
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agentOptions: { model: 'deepseek-v4-flash' },
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})).agent as ReactLoopAgent
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expect(resumed.session.id).toBe(SESSION_ID)
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// The prior user turn is in the rehydrated log before the model is asked.
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@@ -18,11 +18,8 @@ afterEach(async () => {
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describe.skipIf(!process.env.DEEPSEEK_API_KEY)('todo_write: real model records a plan', () => {
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it('appends a todo/write event with the model-produced task list', async () => {
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ctx = await codingHarness(process.cwd())
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const agent = ctx.agentLoop.create(AgentId('e2e-todo'), {
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model: 'deepseek-v4-flash',
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systemPrompt: TODO_SYSTEM_PROMPT,
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})
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ctx = await codingHarness(process.cwd(), { persona: TODO_SYSTEM_PROMPT })
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const agent = ctx.agentLoop.create(AgentId('e2e-todo'), { model: 'deepseek-v4-flash' })
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agent.send([{ type: 'text', text:
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'Use the todo_write tool to record a plan of exactly two steps: first '
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