The real workspace uses "Work Category" (not "Task Type") to identify
task types like Press Release. Also update field_mapping to use "Client"
instead of "Company" to match actual custom field names.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Create NotificationBus in __main__.py and inject into scheduler and UI.
Gradio subscribes as the "gradio" listener with a 10-second polling
timer that displays notifications in a banner above the chatbot.
ClickUp status shown in the header bar.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Third daemon thread polls ClickUp every 20 minutes, discovers new tasks,
maps Task Type to skills via config, and auto-executes or queues for
approval. On completion updates ClickUp status + comments with results.
Recovers orphaned executing tasks on startup. Pushes all events through
the NotificationBus for UI-agnostic delivery.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Four chat-facing tools: clickup_list_tasks (list/filter tracked tasks),
clickup_task_status (detailed state view), clickup_approve_task and
clickup_decline_task (approval flow for tasks awaiting permission).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Pub/sub NotificationBus backed by DB persistence. Any interface
(Gradio, Discord, Slack) subscribes as a listener with independent
read cursors. Supports both push callbacks and poll-based consumption.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add kv_scan() for prefix-based key-value lookups (used by ClickUp task
state tracking). Add notifications table with add_notification() and
get_notifications_after() for the UI-agnostic notification bus.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
ClickUpConfig dataclass with env var loading (CLICKUP_API_TOKEN,
CLICKUP_WORKSPACE_ID, CLICKUP_SPACE_ID). Thin httpx client wrapping
ClickUp v2 API for task listing, status updates, and comments. Skill
mapping config in config.yaml maps Task Type custom fields to tools.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Implements write_press_releases tool that generates 7 headlines via chat
brain, AI-judges the best 2, writes 2 full press releases via execution
brain, and generates JSON-LD schemas via Sonnet with WebSearch. Saves all
output files to data/generated/press_releases/.
Also adds tools/model pass-through in agent and LLM layers, fixes Windows
command line length limit by piping prompts via stdin, and updates model
references to current versions.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Agent: deduplicate tool calls across iterations, reduce max iterations
10→5, add system prompt instructions to prevent re-calling tools
- Router: preserve tool name in history messages, add anti-loop and
delegate_task instructions to system prompt
- Memory: auto_flush now deletes flushed messages from DB so conversations
don't get re-summarized repeatedly, skip tool results in summaries
- DB: add delete_messages() method, include message id in get_messages()
- Scheduler: stop logging routine heartbeat checks to daily log
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Chat brain uses OpenAI-compatible APIs (OpenRouter/Ollama/LM Studio) for
all UI conversations, giving full control over system prompts so the
Cheddah personality works correctly. Execution brain uses Claude Code CLI
for heartbeat, scheduled tasks, and delegated system-level work.
- Split llm.py: chat() routes through OpenAI-compat only, new execute()
calls Claude CLI with Bash/Read/Edit/Write/Glob/Grep tools
- Add chat_model config field (default: openai/gpt-4o-mini)
- Add delegate_task tool bridging chat brain to execution brain
- Scheduler/heartbeat now use execute_task() for real CLI power
- UI dropdown shows chat-only models with custom value support
- Updated model list to current OpenRouter top models (Feb 2026)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Multi-model AI assistant with Gradio UI, persistent memory, 15+ tools,
and meta-tools for runtime tool creation. Routes Claude models through
Claude Code SDK (Max subscription), cloud models through OpenRouter,
and local models through Ollama/LM Studio.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
PeninsulaInd