Files
deepseek-harness/examples/coding-agent/cordis.yml
T
Hypatia May cec32faa4e refactor(compact): turn-agnostic retention + dedicated agent/pre-request seam
Reform the compaction blueprint so a runaway turn survives and the design
stops drifting across review rounds:

- Drop in-flight-turn protection ("layer 2"). Retention is a uniform tail→head
  whole-unit walk; the only structural guard is step-alignment. A single turn
  that alone exceeds the window now compacts its own early closed steps instead
  of being retained verbatim (the failure mode that motivated this).
- Move auto-compaction off the agent/request waterfall onto a new awaited
  agent/pre-request loop seam, fired before history derivation. Compaction
  mutates the surface; the loop derives once from the result — no double-derive,
  and a listener structurally cannot act on not-yet-derived messages.
- Tighten compactIfNeeded to required (session, system, model, signal).
- Enforce a single-pass convergence invariant in resolveConfig: reject configs
  where summarizationMaxTokens + retainTokens exceeds the threshold, so a
  compaction can never immediately re-trigger.
- Document the crash vs recoverable failure taxonomy; core session repair stays
  compaction-agnostic (a log-only orphaned compact/start is inert).
- Wire dsh-compact-basic into examples/coding-agent and add a with-key
  compaction e2e (compaction's first real-world exercise + runaway net).
- Rewrite the RFC to encode the blueprint and move it to implemented/.

The runaway-turn snapshot is a named deferred follow-up: dsh-llm-replay cannot
yet serve the interleaved summarization model call.
2026-06-26 08:59:33 +08:00

109 lines
4.4 KiB
YAML

# The coding-agent plugin tree: the real coding agent. The two swappable
# backends — the DeepSeek adapter and the local bash executor — plus `hmr` for
# the dev/demo reload loop, then the stdio chat app (@deepseek-ai/dsh-stdio-
# agent), which bundles the whole agent-core spine (timer, llm, sessions,
# system-prompt, tools, agents, invariants, tool-bash, agent-loop), the console
# logger, JSONL persistence, the readline UI, and a pre-created `main` agent.
#
# `hmr` is a leaf entry (not baked into dsh-stdio-agent): it is a Loader-only
# dev plugin that needs `--expose-internals` — the `demo:coding` script passes
# it. Requires DEEPSEEK_API_KEY (and optionally DEEPSEEK_BASE_URL) in the
# environment — the dsh-stdio-agent bin loads the gitignored repo-root .env
# first. cordis.yml reads them via the `!!js` tag.
# Hot-module reload for the dev/demo loop (needs `node --expose-internals`).
- id: hmr
name: '@cordisjs/plugin-hmr'
config:
root: ['.']
# The DeepSeek adapter. Swap to '@deepseek-ai/dsh-llm-pi-ai' for the pi-ai-backed
# twin (same config shape; `reasoning: high` replaces thinking/reasoningEffort).
- id: llm-deepseek
name: '@deepseek-ai/dsh-llm-deepseek'
config:
apiKey: !!js process.env.DEEPSEEK_API_KEY
baseURL: !!js process.env.DEEPSEEK_BASE_URL
models:
- deepseek-v4-flash
- deepseek-v4-pro
# Local bash executor (the model's only tool, via agent-core's tool-bash schema).
- id: bash
name: '@deepseek-ai/dsh-bash-local'
config:
timeoutMs: 60000
# The stdio chat app: the whole spine + front-door cluster, configured for a
# real coding agent driving a pre-created `main` agent.
- id: stdio-agent
name: '@deepseek-ai/dsh-stdio-agent'
config:
model: deepseek-v4-flash
# Set RESUME_SESSION_ID to continue a prior persisted session (the ids live
# under ./.sessions); unset starts a fresh session each run.
resumeSessionId: !!js process.env.RESUME_SESSION_ID
persistenceRoot: './.sessions'
welcome: 'coding-agent ready. Give it a coding task (its tools are bash and subagent).'
systemPrompt: |
You are coding-agent, a CLI coding assistant.
Your tools are bash (plus bash_output/bash_kill for background
tasks) and subagent. Do ALL file operations through bash: read with
cat/sed/head, search with grep, write with heredocs (cat <<'EOF' >
file), edit with sed or a rewrite. 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.
# Automatic context compaction: when the derived history approaches the model's
# context window, summarize an older range into a checkpoint so a long-running
# or tool-heavy session keeps fitting. A leaf entry (needs ctx.llm + the
# agent-loop's `agent/pre-request` seam from the app above).
- id: compact-basic
name: '@deepseek-ai/dsh-compact-basic'
config:
contextWindow: 128000
retainTokens: 20480
# The subagent seam + BOTH in-process backends + two model-facing tools, as leaf
# entries after the app (which provides ctx.agents/ctx.tools). spawn (a fresh
# child) and fork (a child seeded with the parent's completed-turn prefix) are
# independent backends over the shared dsh-subagent-inprocess driver. Exposing
# both transports is pure config: load each backend, then load dsh-tool-subagent
# once per backend with a distinct toolName (the tool registry rejects a
# duplicate name) — no code change.
- id: subagent
name: '@deepseek-ai/dsh-subagent'
- id: subagent-spawn
name: '@deepseek-ai/dsh-subagent-spawn'
config:
providerName: spawn
- id: subagent-fork
name: '@deepseek-ai/dsh-subagent-fork'
config:
providerName: fork
- id: tool-subagent
name: '@deepseek-ai/dsh-tool-subagent'
config:
provider: spawn
toolName: subagent
- id: tool-subagent-fork
name: '@deepseek-ai/dsh-tool-subagent'
config:
provider: fork
toolName: subagent_fork