feat(session-query): add model-facing tools (round 1)

This commit is contained in:
Hypatia May
2026-07-24 15:09:55 +08:00
parent b92235c490
commit a350e95165
40 changed files with 2781 additions and 13 deletions

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@@ -15,7 +15,7 @@ stdout is the ACP JSON-RPC channel, so the cluster is defined as much by what it
| `@deepseek-ai/dsh-command-goal` | the discoverable direct `/goal` producer; the app enables the spine's persisted-goal stack with it |
| `@deepseek-ai/dsh-user-interaction` | the human question/answer seam used by clients that can complete ACP elicitation requests |
| `@deepseek-ai/dsh-session-persistence-jsonl` | durable JSONL session log (the bridge advertises `loadSession`) |
| `@deepseek-ai/dsh-session-query-sqlite` + `@deepseek-ai/dsh-session-reference` | combined exact/FTS session queries and bounded `dsh-session:` snapshots |
| `@deepseek-ai/dsh-session-query-sqlite` + `@deepseek-ai/dsh-session-reference` | combined exact/FTS session queries and bounded `dsh-session:` snapshots; the default leaf adds the model-facing query tools |
| `@deepseek-ai/dsh-session-checkpoint-policy` | semantic durability barriers before model requests and top-level tool effects, plus completed-step checkpoints |
| `@deepseek-ai/dsh-acp` | the bridge that owns stdout for JSON-RPC and provides ACP-backed user answers when a leaf explicitly exposes a user-question tool |
| ~~`@deepseek-ai/dsh-tool-ask-user`~~ | **omitted by default** — ACP elicitation support is still client-dependent, so leaves must opt in deliberately |

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@@ -70,6 +70,7 @@
"@deepseek-ai/dsh-session-query-sqlite": "workspace:^",
"@deepseek-ai/dsh-session-reference": "workspace:^",
"@deepseek-ai/dsh-system-prompt": "workspace:^",
"@deepseek-ai/dsh-tool-session-query": "workspace:^",
"@deepseek-ai/dsh-tools": "workspace:^",
"@deepseek-ai/dsh-user-interaction": "workspace:^",
"@deepseek-ai/dsh-workspace-context": "workspace:^",

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@@ -29,8 +29,9 @@ const tsxLoader = fileURLToPath(import.meta.resolve('tsx'))
// Repo root is four levels up from packages/examples/acp-demo/tests.
const repoTsconfig = fileURLToPath(new URL('../../../../tsconfig.json', import.meta.url))
// A minimal leaf that loads this app + the two backends the same shape as
// examples/acp-agent/cordis.yml, inlined so the package test owns its fixture.
// A minimal leaf that loads this app + the two backends and the shipped
// session-query consumer/policies — the same shape as examples/acp-agent/cordis.yml,
// inlined so the package test owns its fixture.
const CORDIS_YML = `
- id: llm-deepseek
name: '@deepseek-ai/dsh-llm-deepseek'
@@ -45,6 +46,16 @@ const CORDIS_YML = `
model: deepseek-v4-flash
persona: 'You are a test agent.'
workspaceContext: false
- id: tool-session-query
name: '@deepseek-ai/dsh-tool-session-query'
- id: timeout-policy
name: '@deepseek-ai/dsh-timeout-policy'
- id: spill-local
name: '@deepseek-ai/dsh-spill-local'
- id: spill-policy
name: '@deepseek-ai/dsh-spill-policy'
config:
maxInlineBytes: 50000
`
interface Spawned {

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@@ -13,7 +13,7 @@ Use [`@deepseek-ai/dsh-cli-demo`](../cli-demo/README.md) for pipes, scripts, and
| `@deepseek-ai/dsh-command-goal` | Direct `/goal` status and mutation over the spine's persisted-goal stack |
| `@deepseek-ai/dsh-session-persistence-jsonl` | Durable session log under `persistenceRoot` |
| `@deepseek-ai/dsh-session-checkpoint-policy` | Semantic durability barriers before model requests and top-level tool effects, plus completed-step checkpoints |
| `@deepseek-ai/dsh-session-query-sqlite` + `@deepseek-ai/dsh-session-reference` | Combined exact/FTS session queries and bounded `@session` snapshots consumed by the TUI |
| `@deepseek-ai/dsh-session-query-sqlite` + `@deepseek-ai/dsh-session-reference` | Combined exact/FTS session queries and bounded `@session` snapshots consumed by the TUI; the default leaf adds the model-facing query tools |
| `@deepseek-ai/dsh-user-interaction` | Provider-neutral human question service |
| `@deepseek-ai/dsh-tui` | Full-screen transcript, editor, tool cards, plan, and question overlays |
| `@deepseek-ai/dsh-tool-ask-user` | Model-facing `ask_user_question` tool |