Remove all KV store reads/writes from task pipeline code. ClickUp is now
the single source of truth for task state. File location (processed/
subfolder) tracks file processing state. Loop timestamps use in-memory
dict on Scheduler.
Source changes:
- scheduler.py: Remove KV dedup, fallback sync path, docx extraction;
tools own their ClickUp sync; in-memory timestamps
- press_release.py: Remove KV state writes, log-only _set_status
- linkbuilding.py: Remove KV state writes, processed/ subfolder check
- content_creation.py: Phase detection via ClickUp API status, remove
KV phase/state tracking, _update_kv_state removed
- clickup_tool.py: Rewrite to query ClickUp API directly
- ui.py: Pipeline status polling is now a no-op
Test changes:
- test_scheduler.py: Remove KV dedup tests, remove fallback path test,
verify ClickUp API calls instead of KV state
- test_content_creation.py: Mock _get_clickup_client for phase detection,
verify ClickUp sync calls instead of KV assertions
- test_linkbuilding.py: Remove KV status test, verify ClickUp API calls
- test_clickup_tools.py: Rewrite for API-backed tools
- test_scheduler_helpers.py: Test in-memory timestamps
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Track per-call token usage and estimated costs across all OpenRouter models.
Switch planner agent from Claude Sonnet 4.6 ($3/$15 per M) to Grok 4.1 Fast
($0.20/$0.50 per M) for ~25x cost reduction. Add budget alerts, a dashboard
card, and a check_api_usage tool for visibility into spending.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- agent.new_conversation() now just resets conv_id to None; DB row is
created lazily by ensure_conversation() when user sends first message
- on_app_load no longer eagerly creates a conversation on page load
- list_conversations filters out conversations with no messages so
orphaned empty rows don't appear in the sidebar
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Move _maybe_set_title() to run at start of respond() generator (before streaming)
so titles are set even if the generator is closed mid-stream by Gradio
- Refresh sidebar conv list on first streaming chunk for immediate title display
- Backfilled 34 existing conversation titles from their first user messages
- Add scheduler loop status cards (heartbeat, poll, clickup, folder_watch) to
both System Health and Notifications tabs in the HTML dashboard
- Loop cards show relative time (e.g. "3m ago") with color-coded status
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Core fixes:
- Rewrite router.py format_messages_for_llm() to properly handle tool
call/result message pairs in OpenAI format instead of faking them as
user messages — root cause of most LLM API errors
- Fix scheduler ignoring auto_execute:false flag, which caused all Link
Building tasks to be incorrectly executed and moved to internal review
- Add safety check so Skipped/Error tool results don't get marked as
completed in ClickUp
Additional improvements:
- Add LLM retry logic (2 retries on transient 5xx/timeout/rate-limit)
- Replace raw LLM tracebacks with friendly error messages
- Fix ghost assistant bubble in UI by deferring append to first chunk
- Auto-title conversations from first user message
- Consistent tool_call_id generation (resolve once, reuse everywhere)
- Reduce pipeline status polling from 3s to 10s
- Update CLAUDE.md: remove stale watchdog/autostart docs
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add sidebar layout with agent selector (Radio), conversation history
(gr.render), and BrowserState for localStorage session persistence.
Conversations tagged by agent_name for per-agent history filtering.
Sidebar auto-closes on mobile viewports via JS. 11 new tests (135 total).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Remove unused modules that were never called at startup:
- cheddahbot/skills/__init__.py (dead @skill decorator system)
- cheddahbot/providers/__init__.py (empty placeholder)
- cheddahbot/tools/build_skill.py (depends on dead skills system)
- cheddahbot/tools/build_tool.py (security risk: generates arbitrary Python)
Also fix all pre-existing ruff lint errors across the codebase:
- Fix import sorting, unused imports, line length violations
- Fix type comparisons (use `is` instead of `==`)
- Fix implicit Optional types (dict -> dict | None)
- Fix unused variables, ambiguous variable names
- Apply ruff format for consistent style
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Strip unused UI components: voice chat accordion, conversation history
panel, and settings accordion. Removes associated event handlers and
helper functions.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The press release pipeline takes 2-4 minutes per run with no feedback.
This adds a DB-polled status box (gr.Timer every 3s) that shows the
current step (e.g. "Step 3/4: Writing press release 1/2 — headline...")
and auto-hides when the pipeline completes.
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>
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