8eebf7dd40
Master stabilized two of the three hand-built markdown fixtures by spacing their event times, so the stats line's LLM segment stops depending on how fast the replay ran. `markdown-images` was left on the old shape and kept failing for exactly that reason — a different test each run, always the same one-line difference. Pin it the same way and record the segment its golden now always shows. This supersedes the normalizer that dropped those segments outright, reverted here: pinning the fixture keeps a real part of the page in the goldens instead of hiding it from every one of them, and master's two goldens already record it.
1.8 KiB
1.8 KiB
- banner:
- navigation "Session hierarchy":
- button "Reply with a one-sentence description" [disabled]
- tablist:
- tab "Chat" [selected]
- tab "Trajectory"
- navigation "Session hierarchy":
- text: Reply with a one-sentence description of event sourcing, then stop. {{clock}}
- button "Copy":
- img
- button "Branch into a new conversation" [disabled]:
- img
- text: Available only on the last message of a completed turn
- button "Context injection @deepseek-ai/dsh-system-prompt":
- img
- img
- text: Context injection @deepseek-ai/dsh-system-prompt
- group:
- status: Retried model request (1/2) · {{duration}}
- 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 "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 79 tok