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https://github.com/deepseek-ai/deepseek-harness
synced 2026-08-15 21:04:50 +00:00
review: the persona becomes the system-prompt plugin's deployment config
Review round 2 (tianyicui inline comments): - dsh-system-prompt itself registers the harness:identity (-100) and deployment:persona (0) sections — they must survive a swapped loop plugin, so they leave dsh-agent-loop; the persona text is the plugin's own validated 'persona' config. The model/cwd variables STAY on the loop: runtime facts of the agents it drives. - AgentOptions.systemPrompt is deleted with all its forwarding plumbing: the app configs' systemPrompt keys become 'persona' routed through dsh-agent-core (schema = z.intersect of the owners'), the ACP bridge and tool-subagent stop carrying persona configuration, and subagent children now render the deployment persona like every other agent. - Example personas drop transport/interface trivia (ACP, CLI) — facts irrelevant to the model. - Root CONTEXT.md removed (not idiomatic); its persona definition was wrong under the new ownership anyway. - Docs, READMEs, the prompt-variables RFC, and generated catalogs updated; new loop test pins the assemble-waterfall escape valve (an emptied assembly sends NO system field).
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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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