memberUsage was already populated for CLI members (from the result event)
and Anthropic-API members (via the tool loop), but it was never written to
the panel_member_done SSE event or the persisted content JSON, so the
frontend had no token data to render.
Add the token fields (input/output/cacheRead/cacheCreation) to both the
SSE event and the persisted JSON, and render them via a shared
buildPanelMemberMeta helper used by both the live stream and history, so
the badge survives F5. OpenAI members (no per-turn tokens), error members,
and pre-existing history without token fields fall through to no badge.
The badge is display-only; aggregation into the worker/chain total via
seedUsage is unchanged, so there is no double counting and no DB migration.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Three related panel-member improvements:
Tool-box streaming fix: correlate tool boxes by tool ID instead of a
single pointer (fixes orphaned spinners and empty boxes when a member
calls multiple tools in one message), forward CLI ToolEnd to capture the
tool input (command/path), normalize tool names, clean up orphaned
spinners on finalize, and add a blinking cursor during text streaming.
Image/screenshot support: CLI panel members now extract image refs from
the last user message (like the worker) and drop them as temp files
readable via the Read tool, so members can see screenshots and file
attachments instead of being blind on image-based questions.
Reload persistence: each member persists a structured JSON transcript
({name, model, segments:[text|tool]}) instead of plain text, so a reload
restores text AND tool boxes interleaved exactly like live. history.js
renders the transcript and keeps back-compat for the old [Panel: Name]
plaintext format.
- AnthropicService.Agents.cs: NonStreamingLoopCallbacks.TranscriptSink,
loop collects text/tool segments, tool input added to combined event
- AnthropicService.Panel.cs: CLI member ID-correlation + ToolEnd input +
image refs + transcript; RunPanelMember persists one JSON transcript
- stream-ui.js: tool boxes keyed by ID, name normalization, cursor,
orphaned-spinner cleanup
- history.js: render JSON transcript with tool boxes, plaintext fallback
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Extend the panel engine with a layer loop: Fusion is one proposer round,
MoA runs N rounds where each round after the first sees the previous
round's responses via <previous_layer_responses> and refines its answer.
Only the final round is persisted; intermediate rounds are live-only.
Rounds are clamped to 1-5.
- SessionRecord + migration: moa_layers column (default 2)
- RunPanel: layer loop with per-member cloned message injection
- CloneForMember / BuildPreviousLayerBlock helpers for member isolation
- SSE: panel_layer_start / panel_layer_done events
- Frontend: layer_index composite keying, round dividers, MoA option
- Docs: ARCHITECTURE + ARCHITECTURE_QUICK updated
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Panel members now stream token-by-token and show tool uses in real time
(like the session agent) instead of delivering text only at completion.
The key constraint is byte-level safety: N members flushing SSE frames
concurrently on the shared HttpResponse would interleave and corrupt the
stream, so a SemaphoreSlim gate serializes the writes (not the model work).
- SseHelper.TryWriteSse takes an optional write-lock (default null, backward
compatible)
- NonStreamingLoopCallbacks carries SseGate + MemberIndex; _text/_tool/_error
events are tagged with the member index (review/finalizer stay at -1, no gate)
- CLI members forward TextDelta/ToolStart/ToolResult live instead of
discarding everything but the final text
- Anthropic-API members stream per tool-round via the loop callbacks; OpenAI
members fall back to collected text at panel_member_done
- Frontend demuxes by member index into per-bubble interleaved text/tool
rendering
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Panel agents answer the user prompt in parallel (read-only, non-streaming);
their responses are merged into the worker's last user message as a
<panel_responses> block, and the session agent synthesizes one final
streamed answer. The RunPanel engine is built layer-ready for future MoA.
- New session fields: multi_model_mode (off/fusion), panel_agent_ids (CSV)
with idempotent column migration
- New partial Services/AnthropicService.Panel.cs holding the RunPanel engine
- Provider-agnostic members: Anthropic RunNonStreamingToolLoop / OpenAI
CompleteText / CLI plan-mode; all forced read-only, persisted with Tag=panel
- SSE events: panel_start, panel_member_start, panel_member_done, panel_done
- Frontend: multi-agent picker, live panel bubbles, history rendering
- Graceful degradation: panel errors fall back to worker-only
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- recalled_context-Header verstärkt (klare Nutzungs-Anweisung statt passivem Hinweis)
- SSE-Event 'auto_context' ans Frontend senden für Live-Anzeige
- Auto-Context als Message (type=auto_context) in DB speichern
- Aufklappbare Auto-Context-Box im Chat-Stream und History-Rendering
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Neues Server-Setting NvidiaApiKey – wenn gesetzt, wird direkt
integrate.api.nvidia.com verwendet statt g4f.space Proxy.
Thinking-Modelle (kimi-k2, qwq, deepseek-r1) erhalten automatisch
chat_template_kwargs und reasoning-Output wird als klappbare
Denkprozess-Bubble im Chat angezeigt.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
MCP-Server erweitert um ask_user_choice (Long-Poll), memory_read, memory_write
und memory_list Tools. MCP-Config wird jetzt immer generiert (nicht nur bei
Remote-Verbindung). InternalEndpoint um PendingChoices + choice-respond Endpoint
ergänzt. Frontend differenziert CLI-Modus (choice-respond API) vs. API-Modus.
Gesamter :::ASK_USER_CHOICE::: Text-Marker-Mechanismus aus ClaudeCliService,
AnthropicService, markdown.js und stream-ui.js entfernt.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Python MCP-Server (stdio, JSON-RPC 2.0) für remote_execute via Claude CLI
- Interner API-Endpoint /api/internal/remote-execute mit Token-Auth
- MCP-Config wird automatisch generiert wenn Remote-Verbindung vorhanden
- Auth-Middleware: /api/internal/ von Auth ausgenommen
- Frontend: :::ASK_USER_CHOICE::: Blöcke als interaktive Buttons rendern
- Streaming: Unvollständige Choice-Blöcke werden während des Streams versteckt
- tool-ui.js: MCP-Tool-Namen generisch normalisieren (mcp__server__tool → tool)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
