Yichen Jiang
2f481fa352
`session.create` also adopts an already-live session, and the preceding commit newly allows adopting one under the preset it switched to while blank. Its response still echoed `header.agentPreset`, so that adoption answered with the preset the session had just left — contradicting the request it had accepted and the row `session.list` serves for the same session from `resolveSessionPreset()`. The echo now resolves the same way. The `assertPresetUnchanged` parameter doc said `existing` was the preset the session was created under; both callers now pass what it runs. `composeFrom()` was documented as "infallible" and "cannot fail" beside two `@throws`. It has no composition failure mode — no roster read, no mount, no file — but it does reject a caller error, and the wording now says which. The package-level "switched preset" test re-linked to the same preset id, so it could not tell reading the parent's live scope chain from reading its creation header. A second fixture preset makes the switch real. The Web browser lane's subagent goldens gain the preset badge a child now shows, which is the visible consequence of recording its composition. That lane runs only under DSH_EXAMPLE_MODE=lib and was missed before. The Agent Note records two limits found in review: a cold-resumed continuable child joins its parent's current composition rather than the one its header names, and `toolFilter` does not constrain a joined child. The latter is a regression from the agent-plane move rather than anything this change introduces — with the same tools in the global layer the filter applies normally — and is tracked in #2185. Refs #2185
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- banner:
- navigation "Session hierarchy":
- button "Ask a research subagent to"
- text: /
- button "event-sourcing researcher" [disabled]
- button "1 subagent":
- text: 1 subagent
- img
- img
- text: 标准模式
- tablist:
- tab "Chat" [selected]
- tab "Trajectory"
- navigation "Session hierarchy":
- text: Explain event sourcing in one sentence. {{clock}}
- button "Copy":
- img
- button "Context injection @deepseek-ai/dsh-system-prompt":
- img
- img
- text: Context injection @deepseek-ai/dsh-system-prompt
- button "Think The user is asking for a one-sentence description of event sourcing. This is a straightforward knowledge question that doesn't require any skill loading or tool calls.":
- img
- img
- text: Think The user is asking for a one-sentence description of event sourcing. This is a straightforward knowledge question that doesn't require any skill loading or tool calls.
- paragraph: Event sourcing is a pattern where all changes to an application's state are stored as an immutable, append-only sequence of events, rather than persisting only the current state, enabling full auditability, temporal queries, and event-driven architectures.
- button "Copy":
- img
- button "Branch into a new conversation":
- img
- text: {{clock}} Ran for {{duration}} TTFT {{duration}} {{throughput}} tok/s Now give the same explanation to a human reader. {{clock}}
- button "Copy":
- img
- button "Think The user is asking for a one-sentence description of event sourcing. This is a straightforward knowledge question that doesn't require any skill loading or tool calls.":
- img
- img
- text: Think The user is asking for a one-sentence description of event sourcing. This is a straightforward knowledge question that doesn't require any skill loading or tool calls.
- paragraph: Event sourcing is a pattern where all changes to an application's state are stored as an immutable, append-only sequence of events, rather than persisting only the current state, enabling full auditability, temporal queries, and event-driven architectures.
- button "Copy":
- img
- button "Branch into a new conversation":
- img
- text: {{clock}} Ran for {{duration}} TTFT {{duration}} {{throughput}} tok/s
- textbox "Message the agent"
- button "Commands":
- img
- 'button "Access mode, current: Workspace Write"': Workspace Write
- button "6% of context used"
- button "Send message" [disabled]
- text: 2 turns · 2 steps LLM {{duration}} TTFT avg {{duration}} · {{throughput}} tok/s Cache hit 99% Input 15.6K tok · Output 158 tok