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3e5e316d24 chore: complete v1.0 milestone
Archived:
- milestones/v1.0-ROADMAP.md
- milestones/v1.0-REQUIREMENTS.md
- milestones/v1.0-MILESTONE-AUDIT.md

Deleted (fresh for next milestone):
- ROADMAP.md

Updated:
- MILESTONES.md (new entry)
- PROJECT.md (requirements → Validated, decisions with outcomes)
- STATE.md (reset for next milestone)

v1.0 MVP shipped:
- 6 phases, 16 plans
- 2,732 lines Python
- All 9 requirements validated

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-17 02:03:13 +00:00
69574c8c6b docs(06-02): complete markdown export plan
Tasks completed: 2/2
- Create exporter module
- Create /export command handler

SUMMARY: .planning/phases/06-consensus-export/06-02-SUMMARY.md
2026-01-17 01:50:35 +00:00
e5108c6705 feat(06-02): add /export command handler
- export_command handles /export and /export project
- Sends markdown as Telegram document attachment
- Registered in handlers/__init__.py
- Updated HELP_TEXT with export options
2026-01-17 01:49:03 +00:00
152d6173d6 feat(06-02): create exporter module for markdown export
- export_discussion() formats discussion with rounds and messages
- export_project() creates full project export with header
- _format_consensus() helper for consensus section formatting
- Follows SPEC.md markdown format
2026-01-17 01:48:14 +00:00
edb4ab5593 docs(06-01): complete consensus generation plan
Tasks completed: 2/2
- Add consensus generation to orchestrator and service
- Create /consensus command handler

SUMMARY: .planning/phases/06-consensus-export/06-01-SUMMARY.md
2026-01-16 20:08:55 +00:00
ee9f8ca3a4 feat(06-01): create /consensus command handler
- Add consensus_command handler with typing indicator
- Add _format_consensus helper for Markdown output
- Register CommandHandler("consensus") in __init__.py
- Displays existing consensus or generates new one

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-16 20:06:52 +00:00
8242de5289 feat(06-01): add consensus generation to orchestrator and service
- Add CONSENSUS_PROMPT constant for AI consensus analysis
- Add generate_consensus() function that builds context and calls AI
- Add save_consensus() and get_consensus() to discussion service
- Import json module and Consensus model

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-16 20:03:46 +00:00
ddb0de0757 docs(06): create phase plans for consensus & export
Phase 06: Consensus & Export
- 2 plans created
- 4 total tasks defined
- Ready for execution

Plan 06-01: Consensus generation (M6)
Plan 06-02: Markdown export (M7)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-16 19:58:51 +00:00
18 changed files with 1362 additions and 164 deletions

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.planning/MILESTONES.md Normal file
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# Project Milestones: MoAI
## v1.0 MVP (Shipped: 2026-01-17)
**Delivered:** A fully functional multi-AI collaborative brainstorming Telegram bot where Claude, GPT, and Gemini discuss topics together and generate consensus.
**Phases completed:** 1-6 (16 plans total)
**Key accomplishments:**
- Complete Python project scaffolding with ruff, pre-commit, pytest, and src layout
- Working Telegram bot with /help, /status and full project CRUD commands
- AI client abstraction layer supporting Requesty/OpenRouter model routing
- Single-model /ask and multi-model discussions (parallel /open, sequential /discuss)
- @mention direct messages to specific AI models during discussions
- Consensus generation and markdown export of full discussion transcripts
**Stats:**
- 21 Python files created
- 2,732 lines of Python
- 6 phases, 16 plans, ~64 tasks
- 1 day from start to ship (2026-01-16 → 2026-01-17)
**Git range:** `feat(01-01)``feat(06-02)`
**Archive:** [v1.0-ROADMAP.md](milestones/v1.0-ROADMAP.md), [v1.0-REQUIREMENTS.md](milestones/v1.0-REQUIREMENTS.md)
**What's next:** Define requirements for v1.1
---

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## What This Is ## What This Is
A multi-AI collaborative brainstorming platform where multiple AI models (Claude, GPT, Gemini) discuss topics together, see each other's responses, and work toward consensus. Phase 1 is a Telegram bot for personal use; Phase 2 adds a web UI; future phases enable lightweight SaaS with multi-user collaboration. A multi-AI collaborative brainstorming Telegram bot where multiple AI models (Claude, GPT, Gemini) discuss topics together, see each other's responses, and work toward consensus. Users can run parallel queries, conduct sequential discussions, @mention specific models, and export conversations with AI-generated consensus summaries.
## Core Value ## Core Value
@ -12,19 +12,19 @@ Get richer, more diverse AI insights through structured multi-model discussions
### Validated ### Validated
(None yet — ship to validate) - ✓ Project scaffolding (pyproject.toml, ruff, pre-commit, src layout) — v1.0
- ✓ M1: Bot responds to /help, /status — v1.0
- ✓ M2: Project CRUD (/projects, /project new, select, delete, models, info) — v1.0
- ✓ M3: Single model Q&A working (/ask command) — v1.0
- ✓ M4: Open mode (parallel) with multiple models — v1.0
- ✓ M5: Discuss mode (sequential rounds) — v1.0
- ✓ M6: Consensus generation (/consensus) — v1.0
- ✓ M7: Export to markdown (/export) — v1.0
- ✓ M8: @mention direct messages — v1.0
### Active ### Active
- [ ] Project scaffolding (pyproject.toml, ruff, pre-commit, src layout) (None — define requirements for next milestone)
- [ ] M1: Bot responds to /help, /status
- [ ] M2: Project CRUD (/projects, /project new, select, delete, models, info)
- [ ] M3: Single model Q&A working
- [ ] M4: Open mode (parallel) with multiple models
- [ ] M5: Discuss mode (sequential rounds)
- [ ] M6: Consensus generation (/consensus)
- [ ] M7: Export to markdown (/export)
- [ ] M8: @mention direct messages
### Out of Scope ### Out of Scope
@ -38,15 +38,17 @@ Get richer, more diverse AI insights through structured multi-model discussions
## Context ## Context
**SPEC.md contains:** **Current state:** v1.0 shipped. Telegram bot fully functional with 2,732 LOC Python.
- Full architecture diagram (Telegram → Python backend → Requesty/OpenRouter → AI APIs)
- Complete data model (Project, Discussion, Round, Message, Consensus)
- All Telegram commands with syntax
- System prompts for models and consensus detection
- Export markdown format
- File structure specification
**Current state:** Greenfield. Only documentation exists (SPEC.md, README.md, CLAUDE.md). **Tech stack:** Python 3.11+, python-telegram-bot, SQLAlchemy + SQLite, OpenAI SDK (Requesty/OpenRouter compatible), pytest, ruff.
**Architecture:** Telegram command → Handler → Service → Orchestrator → AI Client → Requesty/OpenRouter → AI APIs
**Known tech debt (from v1.0 audit):**
- Missing test coverage for database error paths
- Error handling enhancement deferred (comprehensive retry/timeout)
- Allowed users middleware not enforced (defined but unchecked)
- Minor code patterns: orphaned export, inconsistent get_selected_project, missing re-exports
## Constraints ## Constraints
@ -65,9 +67,16 @@ Get richer, more diverse AI insights through structured multi-model discussions
| Decision | Rationale | Outcome | | Decision | Rationale | Outcome |
|----------|-----------|---------| |----------|-----------|---------|
| AI client as abstraction layer | Support Requesty, OpenRouter, direct APIs without changing core code | — Pending | | AI client as abstraction layer | Support Requesty, OpenRouter, direct APIs without changing core code | ✓ Good — OpenAI SDK works with both routers |
| Full project scaffolding first | Consistent tooling from day one; prevents tech debt | — Pending | | Full project scaffolding first | Consistent tooling from day one; prevents tech debt | ✓ Good — ruff/pre-commit caught issues early |
| User allowlist auth (Phase 1) | Simple for single-user POC, each user brings own AI credentials later | — Pending | | User allowlist auth (Phase 1) | Simple for single-user POC | ⚠️ Revisit — middleware defined but not enforced |
| hatchling as build backend | Explicit src layout config | ✓ Good |
| String(36) for UUID storage | SQLite compatibility | ✓ Good |
| Module-level singletons | Simple pattern for AI client and database | ✓ Good — consistent access everywhere |
| asyncio.gather for parallel | Concurrent model queries in /open | ✓ Good — graceful per-model error handling |
| user_data for state | Store discussion context across commands | ✓ Good — clean multi-command flows |
| JSON format for consensus | Structured AI output parsing | ✓ Good — reliable extraction |
| BytesIO for export | In-memory file generation | ✓ Good — no temp files needed |
--- ---
*Last updated: 2026-01-16 after initialization* *Last updated: 2026-01-17 after v1.0 milestone*

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# Roadmap: MoAI
## Overview
Build a Telegram bot where multiple AI models (Claude, GPT, Gemini) collaborate on discussions. Start with project scaffolding and tooling, add bot infrastructure, then layer in project management, single-model queries, multi-model discussions, and finally consensus/export features.
## Domain Expertise
None
## Phases
**Phase Numbering:**
- Integer phases (1, 2, 3): Planned milestone work
- Decimal phases (2.1, 2.2): Urgent insertions (marked with INSERTED)
- [x] **Phase 1: Foundation** - Project scaffolding, tooling, database models
- [x] **Phase 2: Bot Core** - Telegram bot setup, /help, /status (M1)
- [x] **Phase 3: Project CRUD** - Project management commands (M2)
- [x] **Phase 4: Single Model Q&A** - AI client abstraction, basic queries (M3)
- [x] **Phase 5: Multi-Model Discussions** - Open mode, discuss mode, @mentions (M4, M5, M8)
- [ ] **Phase 6: Consensus & Export** - Consensus generation, markdown export (M6, M7)
## Phase Details
### Phase 1: Foundation ✓
**Goal**: Complete project scaffolding with pyproject.toml, ruff, pre-commit, src layout, and SQLAlchemy models
**Depends on**: Nothing (first phase)
**Research**: Unlikely (established patterns)
**Plans**: 3 (01-01 scaffolding, 01-02 models, 01-03 database & tests)
**Completed**: 2026-01-16
### Phase 2: Bot Core ✓
**Goal**: Working Telegram bot responding to /help and /status commands
**Depends on**: Phase 1
**Research**: Likely (python-telegram-bot async patterns)
**Research topics**: python-telegram-bot v20+ async API, Application builder, handler registration
**Plans**: 2 (02-01 infrastructure, 02-02 help/status commands)
**Completed**: 2026-01-16
### Phase 3: Project CRUD ✓
**Goal**: Full project management via Telegram (/projects, /project new/select/delete/models/info)
**Depends on**: Phase 2
**Research**: Unlikely (standard CRUD with established patterns)
**Plans**: 3 (03-01 service & list/create, 03-02 select/info, 03-03 delete/models)
**Completed**: 2026-01-16
### Phase 4: Single Model Q&A ✓
**Goal**: Query a single AI model through the bot with abstracted AI client layer
**Depends on**: Phase 3
**Research**: Likely (external AI API integration)
**Research topics**: Requesty API documentation, OpenRouter API, async HTTP patterns with httpx/aiohttp
**Plans**: 2 (04-01 AI client, 04-02 /ask command)
**Completed**: 2026-01-16
### Phase 5: Multi-Model Discussions ✓
**Goal**: Open mode (parallel), discuss mode (sequential rounds), and @mention direct messages
**Depends on**: Phase 4
**Research**: Unlikely (builds on Phase 4 AI client patterns)
**Plans**: 4 (05-01 discussion service, 05-02 open mode, 05-03 discuss mode, 05-04 mentions)
**Completed**: 2026-01-16
### Phase 6: Consensus & Export
**Goal**: Consensus generation from discussions and markdown export
**Depends on**: Phase 5
**Research**: Unlikely (internal patterns, markdown generation)
**Plans**: TBD
## Progress
**Execution Order:**
Phases execute in numeric order: 1 → 2 → 3 → 4 → 5 → 6
| Phase | Plans Complete | Status | Completed |
|-------|----------------|--------|-----------|
| 1. Foundation | 3/3 | Complete | 2026-01-16 |
| 2. Bot Core | 2/2 | Complete | 2026-01-16 |
| 3. Project CRUD | 3/3 | Complete | 2026-01-16 |
| 4. Single Model Q&A | 2/2 | Complete | 2026-01-16 |
| 5. Multi-Model Discussions | 4/4 | Complete | 2026-01-16 |
| 6. Consensus & Export | 0/TBD | Not started | - |

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## Project Reference ## Project Reference
See: .planning/PROJECT.md (updated 2026-01-16) See: .planning/PROJECT.md (updated 2026-01-17)
**Core value:** Get richer, more diverse AI insights through structured multi-model discussions—ask a team of AIs instead of just one. **Core value:** Get richer, more diverse AI insights through structured multi-model discussions—ask a team of AIs instead of just one.
**Current focus:** Phase 6 — Consensus & Export (next) **Current focus:** Planning next milestone (v1.1)
## Current Position ## Current Position
Phase: 5 of 6 (Multi-Model Discussions) Phase: Planning
Plan: 4 of 4 in current phase Plan: Not started
Status: Phase complete Status: v1.0 complete, ready for next milestone
Last activity: 2026-01-16 — Completed 05-04-PLAN.md (mention mode) Last activity: 2026-01-17 — v1.0 milestone shipped
Progress: █████████░ ~85% Progress: v1.0 ██████████ 100% shipped
## Performance Metrics ## Performance Metrics
**Velocity:** **v1.0 Summary:**
- Total plans completed: 14 - Total plans completed: 16
- Average duration: 4 min - Total phases: 6
- Total execution time: 0.95 hours - Average plan duration: 4 min
- Total execution time: ~1.1 hours
**By Phase:** - Lines of code: 2,732 Python
| Phase | Plans | Total | Avg/Plan |
|-------|-------|-------|----------|
| 01-foundation | 3 | 15 min | 5 min |
| 02-bot-core | 2 | 4 min | 2 min |
| 03-project-crud | 3 | 11 min | 4 min |
| 04-single-model-qa | 2 | 10 min | 5 min |
| 05-multi-model | 4 | 18 min | 5 min |
**Recent Trend:**
- Last 5 plans: 05-01 (2 min), 05-02 (3 min), 05-03 (5 min), 05-04 (8 min)
- Trend: Fast
## Accumulated Context ## Accumulated Context
### Decisions ### Decisions
Decisions are logged in PROJECT.md Key Decisions table. Decisions are logged in PROJECT.md Key Decisions table.
Recent decisions affecting current work: v1.0 decisions archived with outcomes.
- **01-01:** hatchling as build backend with explicit src layout config
- **01-01:** ruff-pre-commit v0.14.13 with --fix for auto-corrections
- **01-02:** String(36) for UUID storage (SQLite compatibility)
- **01-02:** JSON type for list/dict fields (no ARRAY for SQLite)
- **01-03:** expire_on_commit=False for async session usability
- **01-03:** Module-level globals for engine/session factory (simple singleton)
- **02-01:** Module-level config reference for post_init callback access
- **02-01:** Config stored in bot_data for handler access
- **02-02:** Markdown parse_mode for formatted help text
- **02-02:** Placeholder status until project CRUD in Phase 3
- **03-01:** Service layer pattern (core/services/) for database operations
- **03-01:** Single /project handler with subcommand parsing
- **03-02:** Case-insensitive name matching with ilike
- **03-02:** user_data dict for storing selected_project_id
- **03-03:** Explicit project ID required for delete (safety)
- **03-03:** Comma-separated model list parsing
- **04-01:** OpenAI SDK for router abstraction (Requesty/OpenRouter compatible)
- **04-01:** Module-level singleton for AI client (matches database pattern)
- **04-02:** AI client initialized in post_init alongside database
- **04-02:** Typing indicator shown while waiting for AI response
- **05-02:** asyncio.gather for parallel model queries with graceful per-model error handling
- **05-02:** SYSTEM_PROMPT includes participant list and topic for roundtable context
- **05-03:** Sequential model execution with for-loop so each model sees prior responses
- **05-03:** Context stored in user_data["discussion_state"] for multi-command flows
- **05-04:** Direct messages prefix with "[Direct to you]:" for model awareness
- **05-04:** MessageHandler registered AFTER CommandHandlers for correct priority
- **05-04:** @mentions persist with is_direct=True in current round
### Deferred Issues ### Deferred Issues
None yet. None active — v1.0 tech debt documented in PROJECT.md Context section.
### Blockers/Concerns ### Blockers/Concerns
None yet. None.
## Session Continuity ## Session Continuity
Last session: 2026-01-16T19:58:00Z Last session: 2026-01-17
Stopped at: Completed 05-04-PLAN.md (mention mode) - Phase 5 complete Stopped at: v1.0 milestone complete
Resume file: None Resume file: None
## Next Steps
1. `/gsd:discuss-milestone` — thinking partner, creates context file
2. `/gsd:new-milestone` — update PROJECT.md with new goals
3. `/gsd:define-requirements` — scope what to build
4. `/gsd:create-roadmap` — plan how to build it

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---
milestone: 1.0
audited: 2026-01-17
status: passed
scores:
requirements: 9/9
phases: 6/6
integration: 24/24
flows: 4/4
gaps:
requirements: []
integration: []
flows: []
tech_debt:
- phase: 01-foundation
items:
- "Missing test coverage for error handling paths in database.py (lines 62, 85, 91-93)"
- phase: 04-single-model-qa
items:
- "Error handling enhancement deferred (original roadmap estimated 04-03 plan)"
- phase: general
items:
- "Orphaned export: get_round_messages defined but unused"
- "Inconsistent pattern: export.py has local get_selected_project instead of importing from projects.py"
- "Services __init__.py missing re-exports for save_consensus, get_consensus"
- "Allowed users middleware not enforced (BotConfig.allowed_users defined but unchecked)"
---
# Milestone v1.0 Audit Report
## Summary
**Status: PASSED**
All 9 requirements satisfied. All 6 phases complete. All 4 E2E flows verified. Cross-phase integration verified with 24 exports properly wired.
## Requirements Coverage
| Requirement | Phase | Status | Evidence |
|-------------|-------|--------|----------|
| Project scaffolding | Phase 1 | ✓ Satisfied | pyproject.toml, .pre-commit-config.yaml, src/moai/ structure |
| M1: /help, /status | Phase 2 | ✓ Satisfied | handlers/commands.py, handlers/status.py |
| M2: Project CRUD | Phase 3 | ✓ Satisfied | handlers/projects.py with new/select/delete/models/info |
| M3: Single model Q&A | Phase 4 | ✓ Satisfied | /ask command in handlers/discussion.py |
| M4: Open mode (parallel) | Phase 5 | ✓ Satisfied | /open command with asyncio.gather |
| M5: Discuss mode (sequential) | Phase 5 | ✓ Satisfied | /discuss, /next, /stop commands |
| M6: Consensus generation | Phase 6 | ✓ Satisfied | /consensus command |
| M7: Export to markdown | Phase 6 | ✓ Satisfied | /export command |
| M8: @mention direct messages | Phase 5 | ✓ Satisfied | @mention MessageHandler |
## Phase Completion
| Phase | Plans | Status | SUMMARY.md |
|-------|-------|--------|------------|
| 1. Foundation | 3/3 | Complete | ✓ All present |
| 2. Bot Core | 2/2 | Complete | ✓ All present |
| 3. Project CRUD | 3/3 | Complete | ✓ All present |
| 4. Single Model Q&A | 2/2 | Complete | ✓ All present |
| 5. Multi-Model Discussions | 4/4 | Complete | ✓ All present |
| 6. Consensus & Export | 2/2 | Complete | ✓ All present |
**Total:** 16 plans completed, 16 SUMMARY.md files present
## Cross-Phase Integration
### Wiring Status
| From Phase | Export | Used By | Status |
|------------|--------|---------|--------|
| Phase 1 | SQLAlchemy models | services, handlers, orchestrator, exporter | CONNECTED |
| Phase 1 | database.py functions | main.py, services | CONNECTED |
| Phase 2 | BotConfig, register_handlers | main.py, ai_client | CONNECTED |
| Phase 3 | project service functions | handlers | CONNECTED |
| Phase 3 | get_selected_project | discussion.py, status.py | CONNECTED |
| Phase 4 | AIClient, MODEL_MAP | main.py, orchestrator, handlers | CONNECTED |
| Phase 5 | discussion service | handlers, orchestrator | CONNECTED |
| Phase 5 | orchestrator functions | handlers | CONNECTED |
| Phase 6 | exporter functions | export handler | CONNECTED |
| Phase 6 | consensus service | discussion handler | CONNECTED |
**Connected:** 24 key exports properly used
**Orphaned:** 1 (get_round_messages - low severity)
**Missing:** 0
## E2E Flow Verification
### Flow 1: Single Model Q&A
`/project new → /project select → /ask → response`
**Status: COMPLETE** - All steps verified functional
### Flow 2: Open Mode (Parallel)
`/project new → /project select → /open → parallel responses`
**Status: COMPLETE** - asyncio.gather orchestration verified
### Flow 3: Full Discussion Flow
`/project new → /project select → /discuss → /next → /stop → /consensus → /export`
**Status: COMPLETE** - State management via user_data verified, persistence verified
### Flow 4: @mention During Discussion
`@claude message → direct response (with context if discussion active)`
**Status: COMPLETE** - MessageHandler regex filter verified, optional context loading verified
## Tech Debt Summary
### Phase 1: Foundation
- **Coverage gap:** Error handling paths in database.py untested (lines 62, 85, 91-93)
- **Severity:** Low - happy path tested, edge cases deferred
### Phase 4: Single Model Q&A
- **Deferred plan:** 04-03 error handling enhancement not implemented
- **Severity:** Low - basic error handling exists, comprehensive retry/timeout logic deferred
### General
- **Orphaned export:** `get_round_messages` in discussion service defined but unused
- **Pattern inconsistency:** export.py has local `get_selected_project` sync function vs importing async version
- **Missing re-exports:** `save_consensus`, `get_consensus` not in services/__init__.py
- **Feature gap:** `allowed_users` auth middleware not enforced (defined in config but unchecked)
### Total Tech Debt: 7 items across 3 categories
- Critical blockers: 0
- Non-blocking items: 7
## Recommendation
**READY TO COMPLETE**
Milestone v1.0 has:
- All 9 requirements satisfied
- All 6 phases complete with SUMMARY.md files
- All 4 E2E user flows verified
- Cross-phase integration fully connected
- Tech debt documented but non-blocking
Proceed with `/gsd:complete-milestone v1.0`
---
*Audited: 2026-01-17*
*Auditor: gsd-integration-checker*

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# Requirements Archive: v1.0 MVP
**Archived:** 2026-01-17
**Status:** ✅ SHIPPED
This is the archived requirements specification for v1.0.
For current requirements, see `.planning/PROJECT.md`.
---
## v1.0 Requirements
### Core Requirements
- [x] Project scaffolding (pyproject.toml, ruff, pre-commit, src layout)
- [x] M1: Bot responds to /help, /status
- [x] M2: Project CRUD (/projects, /project new, select, delete, models, info)
- [x] M3: Single model Q&A working
- [x] M4: Open mode (parallel) with multiple models
- [x] M5: Discuss mode (sequential rounds)
- [x] M6: Consensus generation (/consensus)
- [x] M7: Export to markdown (/export)
- [x] M8: @mention direct messages
### Traceability
| Requirement | Phase | Status | Evidence |
|-------------|-------|--------|----------|
| Project scaffolding | Phase 1 | Complete | pyproject.toml, .pre-commit-config.yaml, src/moai/ |
| M1: /help, /status | Phase 2 | Complete | handlers/commands.py, handlers/status.py |
| M2: Project CRUD | Phase 3 | Complete | handlers/projects.py |
| M3: Single model Q&A | Phase 4 | Complete | /ask in handlers/discussion.py |
| M4: Open mode | Phase 5 | Complete | /open with asyncio.gather |
| M5: Discuss mode | Phase 5 | Complete | /discuss, /next, /stop commands |
| M6: Consensus | Phase 6 | Complete | /consensus command |
| M7: Export | Phase 6 | Complete | /export command |
| M8: @mentions | Phase 5 | Complete | @mention MessageHandler |
---
## Milestone Summary
**Shipped:** 9 of 9 v1.0 requirements
**Adjusted:** None
**Dropped:** None
All requirements delivered as originally specified. No scope changes during milestone.
---
*Archived: 2026-01-17 as part of v1.0 milestone completion*

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# Milestone v1.0: MVP
**Status:** ✅ SHIPPED 2026-01-17
**Phases:** 1-6
**Total Plans:** 16
## Overview
Build a Telegram bot where multiple AI models (Claude, GPT, Gemini) collaborate on discussions. Start with project scaffolding and tooling, add bot infrastructure, then layer in project management, single-model queries, multi-model discussions, and finally consensus/export features.
## Phases
### Phase 1: Foundation ✓
**Goal**: Complete project scaffolding with pyproject.toml, ruff, pre-commit, src layout, and SQLAlchemy models
**Depends on**: Nothing (first phase)
**Plans**: 3 plans
Plans:
- [x] 01-01: Project scaffolding (pyproject.toml, ruff, pre-commit)
- [x] 01-02: SQLAlchemy models (Project, Discussion, Round, Message, Consensus)
- [x] 01-03: Database session management and tests
**Completed:** 2026-01-16
### Phase 2: Bot Core ✓
**Goal**: Working Telegram bot responding to /help and /status commands
**Depends on**: Phase 1
**Plans**: 2 plans
Plans:
- [x] 02-01: Bot infrastructure (Application, config, lifecycle)
- [x] 02-02: /help and /status command handlers
**Completed:** 2026-01-16
### Phase 3: Project CRUD ✓
**Goal**: Full project management via Telegram (/projects, /project new/select/delete/models/info)
**Depends on**: Phase 2
**Plans**: 3 plans
Plans:
- [x] 03-01: Project service layer, /projects and /project new
- [x] 03-02: /project select and /project info
- [x] 03-03: /project delete and /project models
**Completed:** 2026-01-16
### Phase 4: Single Model Q&A ✓
**Goal**: Query a single AI model through the bot with abstracted AI client layer
**Depends on**: Phase 3
**Plans**: 2 plans
Plans:
- [x] 04-01: AI client abstraction layer (Requesty/OpenRouter)
- [x] 04-02: /ask command handler
**Completed:** 2026-01-16
### Phase 5: Multi-Model Discussions ✓
**Goal**: Open mode (parallel), discuss mode (sequential rounds), and @mention direct messages
**Depends on**: Phase 4
**Plans**: 4 plans
Plans:
- [x] 05-01: Discussion service (CRUD operations)
- [x] 05-02: /open command (parallel mode)
- [x] 05-03: /discuss, /next, /stop commands (sequential mode)
- [x] 05-04: @mention message handler
**Completed:** 2026-01-16
### Phase 6: Consensus & Export ✓
**Goal**: Consensus generation from discussions and markdown export
**Depends on**: Phase 5
**Plans**: 2 plans
Plans:
- [x] 06-01: /consensus command (AI-generated synthesis)
- [x] 06-02: /export command (markdown file)
**Completed:** 2026-01-17
---
## Milestone Summary
**Decimal Phases:** None (clean milestone)
**Key Decisions:**
- hatchling as build backend with explicit src layout config
- String(36) for UUID storage (SQLite compatibility)
- Module-level singletons for database and AI client
- OpenAI SDK for router abstraction (Requesty/OpenRouter compatible)
- Service layer pattern for business logic
- asyncio.gather for parallel model queries
- user_data dict for discussion state across commands
- JSON format for consensus AI output
- BytesIO for in-memory markdown export
**Issues Resolved:**
- None (greenfield development)
**Issues Deferred:**
- Comprehensive error handling (retry/timeout logic)
- User allowlist middleware enforcement
- Test coverage for database error paths
**Technical Debt Incurred:**
- get_round_messages defined but unused
- Inconsistent get_selected_project pattern in export.py
- Missing re-exports in services/__init__.py
---
*For current project status, see .planning/PROJECT.md*

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@ -0,0 +1,129 @@
---
phase: 06-consensus-export
plan: 01
type: execute
---
<objective>
Implement consensus generation for multi-model discussions.
Purpose: Enable users to synthesize discussion outcomes into structured agreements/disagreements (M6 milestone).
Output: Working /consensus command that generates and displays AI-summarized consensus.
</objective>
<execution_context>
~/.claude/get-shit-done/workflows/execute-phase.md
~/.claude/get-shit-done/templates/summary.md
</execution_context>
<context>
@.planning/PROJECT.md
@.planning/ROADMAP.md
@.planning/STATE.md
# Prior phase context (discussion infrastructure):
@.planning/phases/05-multi-model-discussions/05-03-SUMMARY.md
# Source files to modify/reference:
@src/moai/core/models.py
@src/moai/core/orchestrator.py
@src/moai/core/services/discussion.py
@src/moai/bot/handlers/discussion.py
@src/moai/bot/handlers/commands.py
**Tech stack available:** python-telegram-bot, sqlalchemy, openai SDK, asyncio
**Established patterns:** Service layer in core/services/, orchestrator for AI calls, handler delegation to services
**Constraining decisions:**
- Phase 05-03: build_context() assembles discussion history for AI context
- Phase 05-01: Discussion service with eager loading via selectinload
- Phase 04-01: AI client singleton pattern, MODEL_MAP for short names
**SPEC.md consensus format:**
- agreements: string[] (bullet points)
- disagreements: [{topic, positions: {model: position}}]
- Consensus model already exists with these fields
</context>
<tasks>
<task type="auto">
<name>Task 1: Add consensus generation to orchestrator and service</name>
<files>src/moai/core/orchestrator.py, src/moai/core/services/discussion.py</files>
<action>
1. In orchestrator.py, add CONSENSUS_PROMPT constant with instructions to analyze discussion and return JSON with "agreements" (list of strings) and "disagreements" (list of {topic, positions} objects).
2. Add `generate_consensus(discussion: Discussion, model: str = "claude") -> dict` function:
- Build context from discussion using existing build_context()
- Append CONSENSUS_PROMPT as final user message
- Call AI client with system prompt explaining the task
- Parse JSON response (handle parsing errors gracefully)
- Return dict with "agreements" and "disagreements" keys
3. In discussion.py service, add:
- `save_consensus(discussion_id: str, agreements: list, disagreements: list, generated_by: str) -> Consensus`
- `get_consensus(discussion_id: str) -> Consensus | None`
Use existing session patterns (async with get_session()). Import Consensus model.
</action>
<verify>Python imports succeed: `python -c "from moai.core.orchestrator import generate_consensus; from moai.core.services.discussion import save_consensus, get_consensus"`</verify>
<done>generate_consensus() returns dict with agreements/disagreements, save_consensus() persists to DB, get_consensus() retrieves</done>
</task>
<task type="auto">
<name>Task 2: Create /consensus command handler</name>
<files>src/moai/bot/handlers/discussion.py, src/moai/bot/handlers/commands.py, src/moai/bot/handlers/__init__.py</files>
<action>
1. In discussion.py handlers, add `consensus_command(update, context)`:
- Get selected project (error if none)
- Get active discussion for project (error if none, suggest /open or /discuss first)
- Check if consensus already exists (get_consensus) - if so, display existing
- Otherwise call generate_consensus() with discussion
- Save consensus via save_consensus()
- Format and display:
```
**Consensus Summary**
**Agreements:**
- point 1
- point 2
**Disagreements:**
- **Topic:** {topic}
- Claude: {position}
- GPT: {position}
_Generated by {model}_
```
- Show typing indicator while generating
2. Register handler in __init__.py: `CommandHandler("consensus", consensus_command)`
3. Update HELP_TEXT in commands.py to add consensus under Output section:
`/consensus` - Generate consensus summary
</action>
<verify>Bot responds to /consensus with either consensus output or appropriate error message</verify>
<done>/consensus generates and displays consensus for active discussion, or shows existing if already generated</done>
</task>
</tasks>
<verification>
Before declaring plan complete:
- [ ] `ruff check src/moai/core/orchestrator.py src/moai/core/services/discussion.py src/moai/bot/handlers/`
- [ ] `python -c "from moai.core.orchestrator import generate_consensus"` succeeds
- [ ] `python -c "from moai.core.services.discussion import save_consensus, get_consensus"` succeeds
</verification>
<success_criteria>
- generate_consensus() calls AI and returns structured dict
- Consensus persisted to database via save_consensus()
- /consensus command displays formatted consensus
- Help text updated
- No ruff errors
</success_criteria>
<output>
After completion, create `.planning/phases/06-consensus-export/06-01-SUMMARY.md`
</output>

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@ -0,0 +1,99 @@
---
phase: 06-consensus-export
plan: 01
subsystem: ai, discussion
tags: [consensus, json-parsing, orchestrator, telegram-commands]
# Dependency graph
requires:
- phase: 05-multi-model-discussions
provides: build_context(), discussion service, orchestrator patterns
provides:
- generate_consensus() for AI-powered discussion synthesis
- save_consensus() and get_consensus() service functions
- /consensus command handler
affects: [06-export, future-consensus-features]
# Tech tracking
tech-stack:
added: []
patterns: [json-structured-ai-output, consensus-persistence]
key-files:
created: []
modified:
- src/moai/core/orchestrator.py
- src/moai/core/services/discussion.py
- src/moai/bot/handlers/discussion.py
- src/moai/bot/handlers/__init__.py
key-decisions:
- "JSON format for consensus output with agreements array and disagreements array"
- "Graceful error handling returns empty consensus on parse failure"
patterns-established:
- "CONSENSUS_PROMPT: structured prompt for JSON output from AI"
- "Consensus retrieval before generation to avoid duplicates"
issues-created: []
# Metrics
duration: 5 min
completed: 2026-01-16
---
# Phase 6 Plan 1: Consensus Generation Summary
**AI-powered consensus generation via CONSENSUS_PROMPT constant, generate_consensus() orchestrator function, and /consensus command handler**
## Performance
- **Duration:** 5 min
- **Started:** 2026-01-16T20:02:13Z
- **Completed:** 2026-01-16T20:07:55Z
- **Tasks:** 2
- **Files modified:** 4
## Accomplishments
- Added CONSENSUS_PROMPT constant with JSON output instructions for agreements/disagreements
- Implemented generate_consensus() function using existing build_context() and AI client
- Created save_consensus() and get_consensus() service functions for persistence
- Added /consensus command handler with Markdown formatting
## Task Commits
Each task was committed atomically:
1. **Task 1: Add consensus generation to orchestrator and service** - `8242de5` (feat)
2. **Task 2: Create /consensus command handler** - `ee9f8ca` (feat)
## Files Created/Modified
- `src/moai/core/orchestrator.py` - Added CONSENSUS_PROMPT, generate_consensus()
- `src/moai/core/services/discussion.py` - Added save_consensus(), get_consensus()
- `src/moai/bot/handlers/discussion.py` - Added consensus_command handler
- `src/moai/bot/handlers/__init__.py` - Registered consensus CommandHandler
## Decisions Made
- JSON format for consensus output (agreements: string[], disagreements: [{topic, positions}])
- Graceful error handling on JSON parse failure returns empty consensus
- Check for existing consensus before generating new one
## Deviations from Plan
None - plan executed exactly as written.
## Issues Encountered
None.
## Next Phase Readiness
- Consensus generation complete, ready for 06-02 (export functionality)
- /consensus command fully functional for active discussions
---
*Phase: 06-consensus-export*
*Completed: 2026-01-16*

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@ -0,0 +1,157 @@
---
phase: 06-consensus-export
plan: 02
type: execute
---
<objective>
Implement markdown export for discussions and projects.
Purpose: Enable users to export discussion history and consensus to shareable markdown documents (M7 milestone).
Output: Working /export command that generates and sends markdown files via Telegram.
</objective>
<execution_context>
~/.claude/get-shit-done/workflows/execute-phase.md
~/.claude/get-shit-done/templates/summary.md
</execution_context>
<context>
@.planning/PROJECT.md
@.planning/ROADMAP.md
@.planning/STATE.md
# Prior plan context:
@.planning/phases/06-consensus-export/06-01-SUMMARY.md
# Source files to reference:
@src/moai/core/models.py
@src/moai/core/services/discussion.py
@src/moai/core/services/project.py
@src/moai/bot/handlers/__init__.py
@src/moai/bot/handlers/commands.py
**Tech stack available:** python-telegram-bot, sqlalchemy
**Established patterns:** Service layer, handler registration, get_selected_project helper
**SPEC.md export format:**
```markdown
# {Project Name}
**Date:** {date}
**Models:** Claude, GPT, Gemini
**Discussions:** {count}
---
## Discussion 1: {Question}
### Initial Responses (Open)
**Claude:**
> {response}
### Discussion (N rounds)
**Round 1:**
**Claude:** {response}
**GPT:** {response}
### Consensus
**Agreements:**
- point 1
**Disagreements:**
- **Topic:** {topic}
- Claude: {position}
```
</context>
<tasks>
<task type="auto">
<name>Task 1: Create exporter module</name>
<files>src/moai/core/exporter.py</files>
<action>
Create new file src/moai/core/exporter.py with:
1. Module docstring explaining markdown export functionality.
2. `export_discussion(discussion: Discussion) -> str` function:
- Format discussion as markdown following SPEC format
- Include question as heading
- Group messages by round, label round type (parallel = "Initial Responses", sequential = "Round N")
- Format each message as `**Model:** response`
- Include consensus section if consensus exists (agreements as bullets, disagreements with positions)
- Return markdown string
3. `export_project(project: Project, discussions: list[Discussion]) -> str` function:
- Header with project name, date, models list, discussion count
- Separator (---)
- Each discussion formatted via export_discussion()
- Separators between discussions
- Return full markdown string
4. Helper `_format_consensus(consensus: Consensus) -> str`:
- Format agreements as bullet list
- Format disagreements with topic and model positions
- Return formatted string or empty if no consensus
Use datetime.now().strftime("%Y-%m-%d") for date formatting.
</action>
<verify>`python -c "from moai.core.exporter import export_discussion, export_project"` succeeds</verify>
<done>Exporter module creates properly formatted markdown matching SPEC format</done>
</task>
<task type="auto">
<name>Task 2: Create /export command handler</name>
<files>src/moai/bot/handlers/export.py, src/moai/bot/handlers/__init__.py, src/moai/bot/handlers/commands.py</files>
<action>
1. Create new file src/moai/bot/handlers/export.py with:
- Import exporter functions, services, telegram types
- `export_command(update, context)` handler:
- Get selected project (error if none)
- Parse args: no args = export active discussion, "project" = export full project
- For discussion export:
- Get active discussion (error if none)
- Call export_discussion()
- Send as document: `update.message.reply_document(io.BytesIO(md.encode()), filename=f"{project.name}-discussion.md")`
- For project export:
- Get all discussions for project via list_discussions()
- Fetch each with full eager loading via get_discussion()
- Call export_project()
- Send as document with filename `{project.name}-export.md`
- Use io.BytesIO for in-memory file, import io module
2. Update handlers/__init__.py:
- Import export_command from export module
- Register `CommandHandler("export", export_command)`
3. Update HELP_TEXT in commands.py, Output section:
`/export` - Export current discussion as markdown
`/export project` - Export entire project as markdown
</action>
<verify>Bot responds to /export with a markdown document attachment</verify>
<done>/export sends discussion markdown, /export project sends full project markdown as Telegram documents</done>
</task>
</tasks>
<verification>
Before declaring plan complete:
- [ ] `ruff check src/moai/core/exporter.py src/moai/bot/handlers/export.py`
- [ ] `python -c "from moai.core.exporter import export_discussion, export_project"` succeeds
- [ ] `python -c "from moai.bot.handlers.export import export_command"` succeeds
</verification>
<success_criteria>
- Exporter module generates SPEC-compliant markdown
- /export sends discussion as .md document
- /export project sends full project as .md document
- Help text updated
- No ruff errors
- Phase 6 complete (M6 + M7 milestones)
</success_criteria>
<output>
After completion, create `.planning/phases/06-consensus-export/06-02-SUMMARY.md`
</output>

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@ -0,0 +1,97 @@
---
phase: 06-consensus-export
plan: 02
subsystem: api
tags: [markdown, export, telegram, io]
# Dependency graph
requires:
- phase: 06-01
provides: consensus model and generation
- phase: 05
provides: discussion service, rounds, messages
provides:
- Markdown exporter for discussions and projects
- /export command for Telegram document attachments
affects: []
# Tech tracking
tech-stack:
added: []
patterns: [io.BytesIO for in-memory file generation]
key-files:
created: [src/moai/core/exporter.py, src/moai/bot/handlers/export.py]
modified: [src/moai/bot/handlers/__init__.py, src/moai/bot/handlers/commands.py]
key-decisions:
- "BytesIO for in-memory markdown file (no temp files needed)"
- "Filename sanitization with space→underscore replacement"
patterns-established:
- "Document export via reply_document with BytesIO"
issues-created: []
# Metrics
duration: 3min
completed: 2026-01-17
---
# Phase 06 Plan 02: Export Summary
**Markdown export module with /export command sending discussions and projects as Telegram document attachments**
## Performance
- **Duration:** 3 min
- **Started:** 2026-01-17T00:00:00Z
- **Completed:** 2026-01-17T00:03:00Z
- **Tasks:** 2
- **Files modified:** 4
## Accomplishments
- Created exporter module with SPEC-compliant markdown formatting
- /export command sends active discussion as .md document
- /export project sends full project with all discussions
- Help text updated with export options
## Task Commits
Each task was committed atomically:
1. **Task 1: Create exporter module** - `152d617` (feat)
2. **Task 2: Create /export command handler** - `e5108c6` (feat)
**Plan metadata:** (this commit) (docs: complete plan)
## Files Created/Modified
- `src/moai/core/exporter.py` - Markdown export functions (export_discussion, export_project, _format_consensus)
- `src/moai/bot/handlers/export.py` - /export command handler
- `src/moai/bot/handlers/__init__.py` - Register export_command handler
- `src/moai/bot/handlers/commands.py` - Updated HELP_TEXT with export options
## Decisions Made
- Used io.BytesIO for in-memory file creation (no temp files, cleaner)
- Sanitize filename by replacing spaces with underscores
## Deviations from Plan
None - plan executed exactly as written.
## Issues Encountered
None
## Next Phase Readiness
- Phase 6 complete (M6 + M7 milestones achieved)
- All milestone features implemented: consensus generation and markdown export
- Milestone 1 complete - ready for /gsd:complete-milestone
---
*Phase: 06-consensus-export*
*Completed: 2026-01-17*

View file

@ -9,12 +9,14 @@ from telegram.ext import Application, CommandHandler, MessageHandler, filters
from moai.bot.handlers.commands import help_command, start_command from moai.bot.handlers.commands import help_command, start_command
from moai.bot.handlers.discussion import ( from moai.bot.handlers.discussion import (
ask_command, ask_command,
consensus_command,
discuss_command, discuss_command,
mention_handler, mention_handler,
next_command, next_command,
open_command, open_command,
stop_command, stop_command,
) )
from moai.bot.handlers.export import export_command
from moai.bot.handlers.projects import project_command, projects_command from moai.bot.handlers.projects import project_command, projects_command
from moai.bot.handlers.status import status_command from moai.bot.handlers.status import status_command
@ -42,6 +44,8 @@ def register_handlers(app: Application) -> None:
app.add_handler(CommandHandler("discuss", discuss_command)) app.add_handler(CommandHandler("discuss", discuss_command))
app.add_handler(CommandHandler("next", next_command)) app.add_handler(CommandHandler("next", next_command))
app.add_handler(CommandHandler("stop", stop_command)) app.add_handler(CommandHandler("stop", stop_command))
app.add_handler(CommandHandler("consensus", consensus_command))
app.add_handler(CommandHandler("export", export_command))
# @mention handler - MessageHandler registered AFTER CommandHandlers # @mention handler - MessageHandler registered AFTER CommandHandlers
# Matches messages starting with @claude, @gpt, or @gemini followed by content # Matches messages starting with @claude, @gpt, or @gemini followed by content

View file

@ -28,7 +28,8 @@ Multi-AI collaborative brainstorming platform.
*Output Commands:* *Output Commands:*
/consensus - Generate consensus summary /consensus - Generate consensus summary
/export - Export project as markdown /export - Export current discussion as markdown
/export project - Export entire project as markdown
*Utility:* *Utility:*
/status - Show current state /status - Show current state

View file

@ -6,15 +6,22 @@ from telegram.ext import ContextTypes
from moai.bot.handlers.projects import get_selected_project from moai.bot.handlers.projects import get_selected_project
from moai.core.ai_client import MODEL_MAP, get_ai_client from moai.core.ai_client import MODEL_MAP, get_ai_client
from moai.core.models import DiscussionType, RoundType from moai.core.models import DiscussionType, RoundType
from moai.core.orchestrator import query_model_direct, query_models_parallel, run_discussion_round from moai.core.orchestrator import (
generate_consensus,
query_model_direct,
query_models_parallel,
run_discussion_round,
)
from moai.core.services.discussion import ( from moai.core.services.discussion import (
complete_discussion, complete_discussion,
create_discussion, create_discussion,
create_message, create_message,
create_round, create_round,
get_active_discussion, get_active_discussion,
get_consensus,
get_current_round, get_current_round,
get_discussion, get_discussion,
save_consensus,
) )
@ -425,3 +432,119 @@ async def mention_handler(update: Update, context: ContextTypes.DEFAULT_TYPE) ->
except Exception as e: except Exception as e:
await update.message.reply_text(f"Error: {e}") await update.message.reply_text(f"Error: {e}")
async def consensus_command(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
"""Handle /consensus command - generate or display consensus summary.
Requires a selected project with an active discussion. If a consensus
already exists, displays it. Otherwise generates a new one using AI.
Examples:
/consensus
"""
# Require a selected project
project = await get_selected_project(context)
if project is None:
await update.message.reply_text("No project selected. Use /project select <name> first.")
return
# Check for active discussion
discussion = await get_active_discussion(project.id)
if discussion is None:
await update.message.reply_text(
"No active discussion. Start one with /open <question> first."
)
return
# Check if consensus already exists
existing_consensus = await get_consensus(discussion.id)
if existing_consensus is not None:
# Display existing consensus
response_text = _format_consensus(
agreements=existing_consensus.agreements,
disagreements=existing_consensus.disagreements,
generated_by=existing_consensus.generated_by,
)
await update.message.reply_text(response_text, parse_mode="Markdown")
return
# Show typing indicator while generating
await update.message.chat.send_action("typing")
try:
# Reload discussion with full context
discussion = await get_discussion(discussion.id)
# Generate consensus
consensus_model = "claude"
result = await generate_consensus(discussion, model=consensus_model)
# Check for errors
if "error" in result:
await update.message.reply_text(f"Failed to generate consensus: {result['error']}")
return
# Save consensus
await save_consensus(
discussion_id=discussion.id,
agreements=result["agreements"],
disagreements=result["disagreements"],
generated_by=consensus_model,
)
# Format and display
response_text = _format_consensus(
agreements=result["agreements"],
disagreements=result["disagreements"],
generated_by=consensus_model,
)
await update.message.reply_text(response_text, parse_mode="Markdown")
except Exception as e:
await update.message.reply_text(f"Error: {e}")
def _format_consensus(
agreements: list,
disagreements: list,
generated_by: str,
) -> str:
"""Format consensus data into a Markdown string.
Args:
agreements: List of agreement strings.
disagreements: List of disagreement dicts with topic and positions.
generated_by: The model that generated the consensus.
Returns:
Formatted Markdown string.
"""
lines = ["*Consensus Summary*\n"]
# Agreements section
lines.append("*Agreements:*")
if agreements:
for point in agreements:
lines.append(f"- {point}")
else:
lines.append("- None identified")
lines.append("")
# Disagreements section
lines.append("*Disagreements:*")
if disagreements:
for disagreement in disagreements:
topic = disagreement.get("topic", "Unknown topic")
positions = disagreement.get("positions", {})
lines.append(f"- *{topic}*")
for model, position in positions.items():
lines.append(f" - {model.title()}: {position}")
else:
lines.append("- None identified")
lines.append("")
# Footer
lines.append(f"_Generated by {generated_by.title()}_")
return "\n".join(lines)

View file

@ -0,0 +1,85 @@
"""Export command handlers for MoAI bot.
Provides /export command to export discussions and projects as markdown documents.
"""
import io
from telegram import Update
from telegram.ext import ContextTypes
from moai.core.exporter import export_discussion, export_project
from moai.core.services.discussion import get_active_discussion, get_discussion, list_discussions
from moai.core.services.project import get_project
def get_selected_project(context: ContextTypes.DEFAULT_TYPE) -> str | None:
"""Get the currently selected project ID from user data."""
return context.user_data.get("selected_project_id")
async def export_command(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
"""Handle /export command - export discussion or project as markdown.
Usage:
/export - Export current active discussion
/export project - Export entire project with all discussions
"""
project_id = get_selected_project(context)
if not project_id:
await update.message.reply_text("No project selected. Use /project select first.")
return
project = await get_project(project_id)
if not project:
await update.message.reply_text("Selected project not found. Use /project select.")
return
args = context.args
export_full_project = args and args[0].lower() == "project"
if export_full_project:
# Export entire project
discussions_list = await list_discussions(project_id)
if not discussions_list:
await update.message.reply_text("No discussions in this project to export.")
return
# Fetch each discussion with full eager loading
loaded_discussions = []
for disc in discussions_list:
full_disc = await get_discussion(disc.id)
if full_disc:
loaded_discussions.append(full_disc)
markdown = export_project(project, loaded_discussions)
filename = f"{project.name.replace(' ', '_')}-export.md"
await update.message.reply_document(
document=io.BytesIO(markdown.encode("utf-8")),
filename=filename,
caption=f"📄 Full project export: {project.name}",
)
else:
# Export active discussion
discussion = await get_active_discussion(project_id)
if not discussion:
await update.message.reply_text(
"No active discussion. Start one with /open or /discuss."
)
return
# Re-fetch with full loading including consensus
full_discussion = await get_discussion(discussion.id)
if not full_discussion:
await update.message.reply_text("Failed to load discussion.")
return
markdown = export_discussion(full_discussion)
filename = f"{project.name.replace(' ', '_')}-discussion.md"
await update.message.reply_document(
document=io.BytesIO(markdown.encode("utf-8")),
filename=filename,
caption=f"📄 Discussion export: {full_discussion.question[:50]}...",
)

117
src/moai/core/exporter.py Normal file
View file

@ -0,0 +1,117 @@
"""Markdown export functionality for MoAI discussions and projects.
Exports discussions and projects to shareable markdown documents following
the SPEC format with sections for initial responses, rounds, and consensus.
"""
from datetime import datetime
from moai.core.models import Consensus, Discussion, Project, RoundType
def _format_consensus(consensus: Consensus | None) -> str:
"""Format consensus section as markdown.
Args:
consensus: The Consensus object to format, or None.
Returns:
Formatted markdown string for consensus, or empty string if none.
"""
if consensus is None:
return ""
lines = ["### Consensus"]
if consensus.agreements:
lines.append("**Agreements:**")
for agreement in consensus.agreements:
lines.append(f"- {agreement}")
lines.append("")
if consensus.disagreements:
lines.append("**Disagreements:**")
for disagreement in consensus.disagreements:
topic = disagreement.get("topic", "Unknown topic")
positions = disagreement.get("positions", {})
lines.append(f"- **{topic}:**")
for model, position in positions.items():
lines.append(f" - {model}: {position}")
lines.append("")
return "\n".join(lines)
def export_discussion(discussion: Discussion) -> str:
"""Export a discussion as markdown.
Args:
discussion: The Discussion object to export (with rounds/messages loaded).
Returns:
Markdown string formatted according to SPEC.
"""
lines = [f"## Discussion: {discussion.question}", ""]
# Group messages by round
sorted_rounds = sorted(discussion.rounds, key=lambda r: r.round_number)
for round_ in sorted_rounds:
# Label round type appropriately
if round_.type == RoundType.PARALLEL:
lines.append("### Initial Responses (Open)")
else:
lines.append(f"### Round {round_.round_number}")
lines.append("")
# Format each message
sorted_messages = sorted(round_.messages, key=lambda m: m.timestamp)
for message in sorted_messages:
model_name = message.model.capitalize()
lines.append(f"**{model_name}:**")
# Quote the response content
for content_line in message.content.split("\n"):
lines.append(f"> {content_line}")
lines.append("")
# Add consensus section if exists
consensus_md = _format_consensus(discussion.consensus)
if consensus_md:
lines.append(consensus_md)
return "\n".join(lines)
def export_project(project: Project, discussions: list[Discussion]) -> str:
"""Export a project and its discussions as markdown.
Args:
project: The Project object to export.
discussions: List of Discussion objects (with rounds/messages loaded).
Returns:
Full markdown string for the project export.
"""
# Header section
date_str = datetime.now().strftime("%Y-%m-%d")
models_str = ", ".join(m.capitalize() for m in project.models) if project.models else "None"
lines = [
f"# {project.name}",
"",
f"**Date:** {date_str}",
f"**Models:** {models_str}",
f"**Discussions:** {len(discussions)}",
"",
"---",
"",
]
# Add each discussion
for i, discussion in enumerate(discussions):
if i > 0:
lines.append("---")
lines.append("")
lines.append(export_discussion(discussion))
return "\n".join(lines)

View file

@ -5,6 +5,7 @@ across multiple models, building context, and managing discussion flow.
""" """
import asyncio import asyncio
import json
import logging import logging
from moai.core.ai_client import get_ai_client from moai.core.ai_client import get_ai_client
@ -25,6 +26,33 @@ Guidelines:
- Focus on practical, actionable insights - Focus on practical, actionable insights
- If you reach agreement with others, state it clearly""" - If you reach agreement with others, state it clearly"""
# Prompt for generating consensus summary
CONSENSUS_PROMPT = """Analyze the discussion above and provide a JSON summary with:
1. "agreements" - A list of strings, each being a point all participants agreed on
2. "disagreements" - A list of objects, each with:
- "topic": The topic of disagreement
- "positions": An object mapping model names to their positions
Only include items where there was clear agreement or disagreement.
Respond with ONLY valid JSON, no markdown formatting or explanation.
Example format:
{
"agreements": [
"Python is a great language for beginners",
"Documentation is important"
],
"disagreements": [
{
"topic": "Best web framework",
"positions": {
"claude": "FastAPI for its modern async support",
"gpt": "Django for its batteries-included approach"
}
}
]
}"""
async def query_models_parallel( async def query_models_parallel(
models: list[str], models: list[str],
@ -227,3 +255,71 @@ async def run_discussion_round(
context_messages.append({"role": "user", "content": formatted}) context_messages.append({"role": "user", "content": formatted})
return responses return responses
async def generate_consensus(discussion: Discussion, model: str = "claude") -> dict:
"""Generate a consensus summary from a discussion.
Analyzes all rounds and messages in the discussion to identify
agreements and disagreements among the participating AI models.
Args:
discussion: Discussion object with eager-loaded rounds and messages.
model: Model short name to use for generating the consensus (default: "claude").
Returns:
Dict with "agreements" (list of strings) and "disagreements"
(list of {topic, positions} objects).
"""
client = get_ai_client()
# Build context from the discussion
context_messages = build_context(discussion)
# Add the consensus prompt as the final user message
context_messages.append({"role": "user", "content": CONSENSUS_PROMPT})
# System prompt for consensus generation
system_prompt = """You are an impartial analyst summarizing a multi-model AI discussion.
Your task is to identify clear agreements and disagreements from the conversation.
Be precise and only include items where there was genuine consensus or difference of opinion.
Respond with valid JSON only."""
try:
response = await client.complete(
model=model,
messages=context_messages,
system_prompt=system_prompt,
)
logger.info("Consensus generated successfully by %s", model)
# Parse JSON response, handling potential markdown code blocks
json_str = response.strip()
if json_str.startswith("```"):
# Strip markdown code block
lines = json_str.split("\n")
json_str = "\n".join(lines[1:-1]) if lines[-1] == "```" else "\n".join(lines[1:])
json_str = json_str.strip()
result = json.loads(json_str)
# Ensure required keys exist with defaults
return {
"agreements": result.get("agreements", []),
"disagreements": result.get("disagreements", []),
}
except json.JSONDecodeError as e:
logger.error("Failed to parse consensus JSON: %s", e)
return {
"agreements": [],
"disagreements": [],
"error": f"Failed to parse AI response: {e}",
}
except Exception as e:
logger.error("Consensus generation failed: %s", e)
return {
"agreements": [],
"disagreements": [],
"error": str(e),
}

View file

@ -8,6 +8,7 @@ from sqlalchemy.orm import selectinload
from moai.core.database import get_session from moai.core.database import get_session
from moai.core.models import ( from moai.core.models import (
Consensus,
Discussion, Discussion,
DiscussionStatus, DiscussionStatus,
DiscussionType, DiscussionType,
@ -217,3 +218,49 @@ async def get_round_messages(round_id: str) -> list[Message]:
select(Message).where(Message.round_id == round_id).order_by(Message.timestamp) select(Message).where(Message.round_id == round_id).order_by(Message.timestamp)
) )
return list(result.scalars().all()) return list(result.scalars().all())
async def save_consensus(
discussion_id: str,
agreements: list,
disagreements: list,
generated_by: str,
) -> Consensus:
"""Save a consensus summary for a discussion.
Args:
discussion_id: The discussion's UUID.
agreements: List of agreement strings.
disagreements: List of disagreement dicts with topic and positions.
generated_by: The model that generated the consensus.
Returns:
The created Consensus object.
"""
async with get_session() as session:
consensus = Consensus(
discussion_id=discussion_id,
agreements=agreements,
disagreements=disagreements,
generated_by=generated_by,
)
session.add(consensus)
await session.flush()
await session.refresh(consensus)
return consensus
async def get_consensus(discussion_id: str) -> Consensus | None:
"""Get the consensus for a discussion if it exists.
Args:
discussion_id: The discussion's UUID.
Returns:
The Consensus object if found, None otherwise.
"""
async with get_session() as session:
result = await session.execute(
select(Consensus).where(Consensus.discussion_id == discussion_id)
)
return result.scalar_one_or_none()