Coder/deepseek-harness
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Merge branch 'codex/invariant-package-registration-gate' into codex/package-invariant-checks

Browse Source 
# Conflicts:
#	.agents/notes/implemented/architecture/2026-07-19-package-invariant-runtime-contracts.i18n.yaml
#	.agents/notes/implemented/architecture/2026-07-19-package-invariant-runtime-contracts.md
#	.agents/notes/implemented/architecture/2026-07-19-package-invariant-runtime-contracts.zh.md
#	.agents/notes/implemented/architecture/2026-07-19-package-owned-invariant-service.i18n.yaml
#	docs/rfc/INDEX.md
#	packages/AGENTS.md
This commit is contained in:
Tianyi Cui
2026-07-20 00:54:28 +08:00
parent 941b0411d8 6520f71f94
commit 684fcf3357
683 changed files with 7058 additions and 2430 deletions
Download Patch File Download Diff File Expand all files Collapse all files

26
packages/examples/stdio-demo/README.md
View File

@@ -1,6 +1,6 @@
# @deepseek-ai/dsh-stdio-demo
The **terminal chat app**: a Cordis app plugin that composes the default agent spine ([`@deepseek-ai/dsh-agent-spine-demo`](../../examples/agent-spine-demo/README.md)) with JSONL persistence, human interaction, a pre-created `main` agent, and a TTY-selected pi-tui/readline front door. Its `bin` boots a leaf `cordis.yml`.
The **terminal chat app**: a Cordis app plugin that composes the default agent spine ([`@deepseek-ai/dsh-agent-spine-demo`](../agent-spine-demo/README.md)) with JSONL persistence, human interaction, a pre-created `main` agent, and a TTY-selected pi-tui/readline front door. Its `bin` boots a leaf `cordis.yml`.
It is the terminal counterpart to [`@deepseek-ai/dsh-acp-demo`](../acp-demo/README.md): both consume the same spine, while ACP reserves stdout for JSON-RPC and creates sessions from the client.
@@ -79,15 +79,31 @@ Swap `llm-deepseek` for a `mock-llm` leaf plugin and you have the echo demo —
### Composed terminal agent request
**What the model sees**: Through `dsh-agent-spine-demo`, the `main` agent receives the harness identity, configured persona, skill catalog, and visible tools; this app also composes the generated [`ask_user_question` schema](../../../docs/tool-catalog.md#deepseek-aidsh-tool-ask-user). Each terminal submission becomes a user message; submissions made while the agent runs steer the active turn.
#### What the model sees
**Token effect**: Child prompt and schema costs repeat per request; user input and tool history grow until compaction. Terminal banners, logger output, cards, and rendered transcripts add zero model tokens.
Through `dsh-agent-spine-demo`, the `main` agent receives the harness identity, configured persona, skill catalog, and visible tools; this app also composes the generated [`ask_user_question` schema](../../../docs/tool-catalog.md#deepseek-aidsh-tool-ask-user). Each terminal submission becomes a user message; submissions made while the agent runs steer the active turn.
#### Token effect
Child prompt and schema costs repeat per request; user input and tool history grow until compaction. Terminal banners, logger output, cards, and rendered transcripts add zero model tokens.
#### KV Cache effect
User and tool history is append-only while the composed prompt, schemas, child model route, and session prefix remain fixed. A composition change or compaction may invalidate reuse from its first changed token; terminal rendering has no cache effect.
### Human-answer result
**What the model sees**: Through `dsh-tool-ask-user`, successful terminal answers use that package's exact compact JSON shape. Interruption becomes exactly `Error: ask_user_question was interrupted before the user answered`; a closed stdin becomes `Error: ask_user_question cannot be answered because stdin is closed`.
#### What the model sees
**Token effect**: Only a completed or failed tool call adds retained result tokens; prompts printed while waiting are terminal-only.
Through `dsh-tool-ask-user`, successful terminal answers use that package's exact compact JSON shape. Interruption becomes exactly `Error: ask_user_question was interrupted before the user answered`; a closed stdin becomes `Error: ask_user_question cannot be answered because stdin is closed`.
#### Token effect
Only a completed or failed tool call adds retained result tokens; prompts printed while waiting are terminal-only.
#### KV Cache effect
Append-only; newly visible content follows the reusable request prefix and does not invalidate existing KV-cache entries.
## Known Limitations and Deferred Work

4
packages/examples/stdio-demo/src/index.ts
View File

@@ -97,7 +97,7 @@ export interface Config {
skills?: agentCore.SkillConfig
/** Model-facing bash tool config forwarded through agent-core. */
toolBash?: NonNullable<agentCore.Config['toolBash']>
/** Generic background-task control-tool config forwarded through agent-core. */
/** Generic background-task controls forwarded through agent-core; set false to omit their tool surface. */
toolTasks?: NonNullable<agentCore.Config['toolTasks']>
/**
* If set, the pre-created agent RESUMES this persisted session id instead of
@@ -125,7 +125,7 @@ export const Config: z<Config> = z.object({
ui: UiConfigSchema,
skills: agentCore.SkillConfigSchema,
toolBash: agentCore.ToolBashConfigSchema,
toolTasks: agentCore.ToolTasksConfigSchema,
toolTasks: z.union([z.const(false), agentCore.ToolTasksConfigSchema]),
resumeSessionId: z.string(),
workspaceContext: z.union([z.const(false), workspaceContext.Config]).required(),
})