feat(feedback): disclose session sharing in the /feedback acknowledgement

The /feedback acknowledgement now echoes the receiving session id and
reports the mounted telemetry backend's sharing policy: the telemetry seam
exposes a backend-independent TelemetrySharingStatus through a required
abstract sharing member on the Telemetry service, the OTel backend maps its
mode onto it, and the command appends one policy-only sharing sentence
(full / feedback-only / disabled / not configured) to the acknowledgement.
The web client renders the text through the existing command row without a
client change; a new assembled-browser e2e mounts the shipped telemetry row
in FULL mode against a local dead endpoint and pins the shipped default
sentence as a keyless golden.
This commit is contained in:
Chinesezjc
2026-08-08 02:27:37 +08:00
parent 94abd8631a
commit 3f9d0436eb
28 changed files with 394 additions and 18 deletions
@@ -0,0 +1,35 @@
- banner:
- navigation "Session hierarchy":
- button "Reply with the single word" [disabled]
- tablist:
- tab "Chat" [selected]
- tab "Trajectory"
- text: Reply with the single word LIGHTHOUSE and stop. {{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 wants me to reply with a single word. Let me comply.":
- img
- img
- text: Think The user wants me to reply with a single word. Let me comply.
- paragraph: LIGHTHOUSE
- button "Copy":
- img
- button "Branch into a new conversation":
- img
- text: {{clock}} Ran for {{duration}} TTFT {{duration}} {{throughput}} tok/s
- img
- text: feedback Feedback recorded for session session-{{uuid}}. Session sharing is enabled.
- textbox "Message the agent"
- button "Commands":
- img
- 'button "Access mode, current: Workspace Write"': Workspace Write
- button "Select model, current DeepSeek-V4-Flash":
- text: DeepSeek-V4-Flash
- img
- button "6% of context used"
- button "Send message" [disabled]
- text: 1 turns · 1 steps LLM {{duration}} TTFT avg {{duration}} · {{throughput}} tok/s Cache hit 99% Input 7.8K tok · Output 21 tok