feat: Working repository: /home/elvern Clarification from user: 1. pay on de#3
Merged
Conversation
- src/core/task_queue.py: SQLite-backed priority task queue (push/pop/update/get/depth) - src/agents/newsletter_agent.py: AgentLoop wrapping Orchestrator, triggers every 55 min - src/core/master_agent.py: asyncio.gather over all agents, SIGTERM/SIGINT graceful shutdown - src/core/state_manager.py: add task_queue + agent_facts tables, minutes_since_last_newsletter(), set_fact/get_fact/get_all_facts - src/config/settings.py: add PA settings (telegram_owner_id, pa_branch_prefix, pa_max_tool_iterations, pa_allowed_commands, pa_working_dir) - src/main.py: add --mode=pa entry point (run_pa_mode → MasterAgent) - scripts/elvagent.service: systemd user service unit for WSL2 - scripts/setup_systemd.sh: one-command service installer - tests: 31 new tests for TaskQueue + NewsletterAgent (259/259 total) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- src/agents/telegram_agent.py: bidirectional Telegram interface; auth gate (TELEGRAM_OWNER_ID); inline /status; queued /newsletter + /code; free-form text → code shorthand - src/agents/task_worker.py: AgentLoop draining TaskQueue; dispatches newsletter/status/code/shell; sends reply via Bot.send_message on completion - src/agents/handlers/status_handler.py: comprehensive /status (newsletter timing, queue depth, today's spend, agent states, branch) - src/agents/handlers/newsletter_handler.py: force-triggers Orchestrator cycle on demand; returns formatted result - tests: 27 new tests (13 TaskWorker + 14 TelegramAgent); 286/286 total MasterAgent auto-discovers both agents via existing try/except ImportError guards. No existing files modified. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…execution) - FilesystemTool: path-guarded read/write/list (pa_working_dir boundary) - ShellTool: async subprocess with pa_allowed_commands allowlist - GitTool: branch/commit/push/PR using asyncio + gh CLI - CodeTool: Haiku planning → Sonnet tool_use loop → pytest gate → PR - CodeHandler: HandlerResult wrapper; replaces Phase B code-task stub - 44 new tests (330 total, all passing) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…Handler Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…ting Token explosion fix (9.7 M → <200 K): - filesystem_tool: cap read_file at 20 K chars with truncation notice - shell_tool: add truncated_str() that caps each stream at 20 K chars - code_tool: add _truncate_tool_result(), _trim_messages() sliding window (first message + last 10 assistant/tool pairs forwarded per API call), _is_excluded_path() blocks .venv/.git/__pycache__ etc., list_dir filters excluded dirs, read_file blocks excluded dirs, run_shell uses truncated_str() Clarification phase (back-and-forth via Telegram): - task_queue: add waiting_clarification status, await_clarification(), find_waiting_clarification(), resume_with_answer(), expire_stale_clarifications() with 10-min deadline - code_handler: Phase 0 calls CodeTool.clarify() (Haiku) before coding; if questions returned → HandlerResult(waiting_clarification); resumes with clarify_answer injected into instruction on next run - task_worker: poll() expires stale clarifications first; record() handles waiting_clarification by calling await_clarification() + sending questions to Telegram; _expire_stale_clarifications() sends timeout message Smart free-text routing + persistent context: - telegram_agent: add _classify_message() (Haiku, falls back to "code"), _handle_conversation() (Sonnet with full history), _resume_clarification(), _handle_new_chat() (/new_chat clears MemoryStore), _to_api_messages() helper (merges consecutive same-role messages, drops leading assistant), free-text handler checks waiting_clarification first, then classifies - memory_store: default TTL changed from 3600 s → None (persistent until /new_chat), max_messages increased 20 → 50 Tests: 423 passing Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Bug 1 — slug contains repo path: - code_tool.execute() was calling GitTool.make_slug(full_instruction) where full_instruction is the enriched string built by CodeHandler (starts with "Working repository: /home/elvern ..."), producing slugs like 'working-repository-home-elvern-make-a-ne' instead of reflecting the user's actual intent - Fix: add task_label param to execute(); code_handler passes the raw user instruction as task_label so the slug is always clean Bug 2 — branch already exists on retry: - A failed coding run leaves the branch locally; any retry with the same instruction hits 'fatal: A branch named ... already exists' - Fix: git_tool.create_branch() detects the 'already exists' stderr and retries with a 6-digit timestamp suffix (slug[:33] + '-XXXXXX') Tests: - test_code_handler.py: TestTaskLabel (2 new tests) verifies task_label is always the raw instruction, even with context/clarify_answer present - test_git_tool.py: new file — TestSlugify, TestMakeSlug, TestCreateBranch (12 tests) including collision recovery and suffix length bounds 442 passing Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…llision Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Summary
Instruction: Working repository: /home/elvern
Clarification from user:
make a new repo and make a simple MVP whereby the product provides a venue for cloud providers, data centres and hyperscalers (people who supply compute for LLM) and companies (companies that demand LLM compute) to be able to sign futures contract (i.e. delivering 1billion token for may 2026 from claude models). Plan this out first and ask questions if needed to clarify anything. Clarify as much as possible.
Plan
Implementation Plan: LLM Compute Futures Exchange MVP
Clarification Questions (MUST ANSWER BEFORE CODING)
Contract Specifications:
Market Mechanics:
Claude Model Bundling:
MVP Scope:
Proposed High-Level Architecture
Implementation Plan
src/domain/models.py– DefineContract,Order,Party(Buyer/Seller),Settlemententities with pay-on-delivery semanticssrc/exchange/orderbook.py– Implement centralized orderbook with market-matching logic (price-time priority), no partial fillssrc/exchange/settlement.py– Handle contract creation, escrow logic, refund mechanism if delivery failssrc/api/routes.py– REST endpoints: place order, view orderbook, list contracts, check settlement status**
Notes
Max tool iterations reached.
🤖 Opened autonomously by ElvAgent CodingTool