Files
deepseek-harness/examples/coding-agent/tests/harness.ts
Tianyi Cui 93a6dc6716 test(todo): add the todo-plan ACP snapshot scenario and a with-key e2e
Record the `todo-plan` snapshot scenario: a real prompt drives the model to call
todo_write, and the golden captures the resulting `plan` sessionUpdate (three
entries, priority synthesized as medium, status 1:1) plus the persisted
todo/write event. Registered in SCENARIOS; replays deterministically keyless.

Add a with-key coding-agent e2e that verifies the WORLD — a real model call to
todo_write lands a todo/write event whose snapshot is a valid, one-in-progress
list — not the agent's self-report. Wire tool-todo into the e2e harness.
2026-06-29 10:56:55 +08:00

69 lines
2.9 KiB
TypeScript

import { Context } from 'cordis'
import LlmService from '@deepseek-ai/dsh-llm'
import SessionStore from '@deepseek-ai/dsh-session'
import type { SessionEvent } from '@deepseek-ai/dsh-session'
import SystemPrompt from '@deepseek-ai/dsh-system-prompt'
import ToolRegistry from '@deepseek-ai/dsh-tools'
import AgentRegistry from '@deepseek-ai/dsh-agent'
import AgentLoop, { ReactLoopAgent } from '@deepseek-ai/dsh-agent-loop'
import { LocalBashExecutor } from '@deepseek-ai/dsh-bash-local'
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 SessionPersistenceJsonl from '@deepseek-ai/dsh-session-persistence-jsonl'
/**
* Shared harness for the coding-agent e2e suites: the full plugin stack
* with the real DeepSeek adapter and the real bash + todo_write tools. Lives
* outside the *.e2e.ts pattern so importing it never re-registers another
* file's tests.
*/
export const SYSTEM_PROMPT = 'You are a coding agent. Your only tool is bash; '
+ 'do file operations with cat/grep/heredocs, check [exit code: N] markers, '
+ 'and report results briefly.'
/** System prompt for the todo_write e2e: nudges the model to plan with the tool. */
export const TODO_SYSTEM_PROMPT = 'You are a coding agent. For multi-step work, '
+ 'use the todo_write tool to track a task list: send the WHOLE list each call, '
+ 'keep exactly one task in_progress, and mark a task completed as soon as it is done.'
export async function codingHarness(workdir: string, persistenceRoot?: string): Promise<Context> {
const ctx = new Context()
await ctx.plugin(LlmService)
await ctx.plugin(SessionStore)
await ctx.plugin(SystemPrompt)
await ctx.plugin(ToolRegistry)
await ctx.plugin(AgentRegistry)
await ctx.plugin(AgentLoop, { agents: [] })
await ctx.plugin(LlmDeepSeek, { models: ['deepseek-v4-flash'] })
await ctx.plugin(LocalBashExecutor, { cwd: workdir, timeoutMs: 30_000 })
await ctx.plugin(ToolBash)
await ctx.plugin(ToolTodo)
// Durable JSONL persistence is opt-in: only the resume e2e needs it, and the
// other suites stay file-free. Loaded last so a resume's deferred
// `ctx.inject(['sessionPersistence'])` resolves once this is present.
if (persistenceRoot !== undefined) await ctx.plugin(SessionPersistenceJsonl, { root: persistenceRoot })
return ctx
}
export function waitForIdle(ctx: Context, agent: ReactLoopAgent): Promise<void> {
return new Promise((resolve) => {
const dispose = ctx.on('agent/status', (subject, status) => {
if (subject === agent && status === 'idle') {
dispose()
resolve()
}
})
})
}
export function finalText(events: SessionEvent[]): string {
const message = events.findLast(event => event.type === 'assistant/message')
if (message?.type !== 'assistant/message') return ''
return message.data.content
.filter(block => block.type === 'text')
.map(block => block.text)
.join('')
}