docs/architecture.md

@@ -422,8 +422,36 @@ else:
 
 ---
 
+---
+
+## Future Architecture: Multi-Platform Support
+
+The current architecture is Discord-centric. A **multi-platform expansion** is planned
+to support Web and CLI interfaces while maintaining one shared Living AI core.
+
+See [Multi-Platform Expansion](multi-platform-expansion.md) for the complete design.
+
+**Planned architecture:**
+
+```
+[ Discord Adapter ] ─┐
+[ Web Adapter ] ─────┼──▶ ConversationGateway ─▶ Living AI Core
+[ CLI Adapter ] ─────┘
+```
+
+**Key changes:**
+- Extract conversation logic into platform-agnostic `ConversationGateway`
+- Add `Platform` enum (DISCORD, WEB, CLI)
+- Add `IntimacyLevel` system for behavior modulation
+- Refactor `ai_chat.py` to use gateway
+- Add FastAPI web backend
+- Add Typer CLI client
+
+---
+
 ## Next Steps
 
+- [Multi-Platform Expansion](multi-platform-expansion.md) - Web & CLI platform design
 - [Living AI System](living-ai/README.md) - Deep dive into the personality system
 - [Services Reference](services/README.md) - Detailed API documentation
 - [Database Schema](database.md) - Complete schema documentation

docs/implementation/conversation-gateway.md

@@ -0,0 +1,471 @@
+# Conversation Gateway Implementation Guide
+
+## Phase 1: Complete ✅
+
+This document describes the Conversation Gateway implementation completed in Phase 1 of the multi-platform expansion.
+
+---
+
+## What Was Implemented
+
+### 1. Platform Abstraction Models
+
+**File:** `src/loyal_companion/models/platform.py`
+
+Created core types for platform-agnostic conversation handling:
+
+- **`Platform` enum:** DISCORD, WEB, CLI
+- **`IntimacyLevel` enum:** LOW, MEDIUM, HIGH
+- **`ConversationContext`:** Metadata about the conversation context
+- **`ConversationRequest`:** Normalized input format from any platform
+- **`ConversationResponse`:** Normalized output format to any platform
+- **`MoodInfo`:** Mood metadata in responses
+- **`RelationshipInfo`:** Relationship metadata in responses
+
+**Key features:**
+- Platform-agnostic data structures
+- Explicit intimacy level modeling
+- Rich context passing
+- Response metadata for platform-specific formatting
+
+---
+
+### 2. Conversation Gateway Service
+
+**File:** `src/loyal_companion/services/conversation_gateway.py`
+
+Extracted core conversation logic into a reusable service:
+
+```python
+class ConversationGateway:
+    async def process_message(
+        request: ConversationRequest
+    ) -> ConversationResponse
+```
+
+**Responsibilities:**
+- Accept normalized `ConversationRequest` from any platform
+- Load conversation history from database
+- Gather Living AI context (mood, relationship, style, opinions)
+- Apply intimacy-level-based prompt modifiers
+- Invoke AI service
+- Save conversation to database
+- Update Living AI state asynchronously
+- Return normalized `ConversationResponse`
+
+**Key features:**
+- Platform-agnostic processing
+- Intimacy-aware behavior modulation
+- Safety boundaries at all intimacy levels
+- Async Living AI updates
+- Sentiment estimation
+- Fact extraction (respects intimacy level)
+- Proactive event detection (respects intimacy level)
+
+---
+
+### 3. Intimacy Level System
+
+**Behavior modulation by intimacy level:**
+
+#### LOW (Discord Guilds)
+- Brief, light responses
+- No deep emotional topics
+- No personal memory surfacing
+- Minimal proactive behavior
+- Grounding language only
+- Public-safe topics
+
+#### MEDIUM (Discord DMs)
+- Balanced warmth and depth
+- Personal memory references allowed
+- Moderate emotional engagement
+- Casual but caring tone
+- Moderate proactive behavior
+
+#### HIGH (Web, CLI)
+- Deeper reflection permitted
+- Emotional naming encouraged
+- Silence tolerance
+- Proactive follow-ups allowed
+- Deep memory surfacing
+- Thoughtful, considered responses
+
+**Safety boundaries (enforced at ALL levels):**
+- Never claim exclusivity
+- Never reinforce dependency
+- Never discourage external connections
+- Always defer crisis situations
+- No romantic/sexual framing
+
+---
+
+### 4. Service Integration
+
+**File:** `src/loyal_companion/services/__init__.py`
+
+- Exported `ConversationGateway` for use by adapters
+- Maintained backward compatibility with existing services
+
+---
+
+## Architecture
+
+```
+┌─────────────────────────────────────────────────────────┐
+│                  Platform Adapters                       │
+│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐     │
+│  │   Discord   │  │     Web     │  │     CLI     │     │
+│  │   Adapter   │  │   Adapter   │  │   Adapter   │     │
+│  └──────┬──────┘  └──────┬──────┘  └──────┬──────┘     │
+└─────────┼─────────────────┼─────────────────┼───────────┘
+          │                 │                 │
+          └────────┬────────┴────────┬────────┘
+                   ▼                 ▼
+         ┌─────────────────────────────────────┐
+         │     ConversationRequest             │
+         │  - user_id                          │
+         │  - platform                         │
+         │  - message                          │
+         │  - context (intimacy, metadata)     │
+         └─────────────────────────────────────┘
+                          │
+                          ▼
+         ┌─────────────────────────────────────┐
+         │     ConversationGateway             │
+         │                                      │
+         │  1. Load conversation history        │
+         │  2. Gather Living AI context         │
+         │  3. Apply intimacy modifiers         │
+         │  4. Build enhanced system prompt     │
+         │  5. Invoke AI service                │
+         │  6. Save conversation                │
+         │  7. Update Living AI state           │
+         └─────────────────────────────────────┘
+                          │
+                          ▼
+         ┌─────────────────────────────────────┐
+         │     ConversationResponse            │
+         │  - response (text)                  │
+         │  - mood (optional)                  │
+         │  - relationship (optional)          │
+         │  - extracted_facts (list)           │
+         │  - platform_hints (dict)            │
+         └─────────────────────────────────────┘
+                          │
+          ┌───────────────┼───────────────┐
+          ▼               ▼               ▼
+    ┌─────────┐    ┌─────────┐    ┌─────────┐
+    │ Discord │    │   Web   │    │   CLI   │
+    │ Format  │    │ Format  │    │ Format  │
+    └─────────┘    └─────────┘    └─────────┘
+```
+
+---
+
+## Usage Example
+
+```python
+from loyal_companion.models.platform import (
+    ConversationContext,
+    ConversationRequest,
+    IntimacyLevel,
+    Platform,
+)
+from loyal_companion.services import ConversationGateway
+
+# Create gateway
+gateway = ConversationGateway()
+
+# Build request (from any platform)
+request = ConversationRequest(
+    user_id="discord:123456789",
+    platform=Platform.DISCORD,
+    session_id="channel-987654321",
+    message="I'm feeling overwhelmed today",
+    context=ConversationContext(
+        is_public=False,
+        intimacy_level=IntimacyLevel.MEDIUM,
+        guild_id="12345",
+        channel_id="987654321",
+        user_display_name="Alice",
+    ),
+)
+
+# Process message
+response = await gateway.process_message(request)
+
+# Use response
+print(response.response)  # AI's reply
+print(response.mood.label if response.mood else "No mood")
+print(response.relationship.level if response.relationship else "No relationship")
+```
+
+---
+
+## File Structure
+
+```
+loyal_companion/
+├── src/loyal_companion/
+│   ├── models/
+│   │   └── platform.py                   # ✨ NEW: Platform abstractions
+│   ├── services/
+│   │   ├── conversation_gateway.py       # ✨ NEW: Gateway service
+│   │   └── __init__.py                   # Updated: Export gateway
+│   └── cogs/
+│       └── ai_chat.py                    # Unchanged (Phase 2 will refactor)
+├── docs/
+│   ├── multi-platform-expansion.md       # ✨ NEW: Architecture doc
+│   ├── architecture.md                   # Updated: Reference gateway
+│   └── implementation/
+│       └── conversation-gateway.md       # ✨ NEW: This file
+├── tests/
+│   └── test_conversation_gateway.py      # ✨ NEW: Gateway tests
+└── verify_gateway.py                     # ✨ NEW: Verification script
+```
+
+---
+
+## What's Next: Phase 2
+
+**Goal:** Refactor Discord adapter to use the Conversation Gateway
+
+**Files to modify:**
+- `src/loyal_companion/cogs/ai_chat.py`
+
+**Changes:**
+1. Import `ConversationGateway` and platform models
+2. Replace `_generate_response_with_db()` with gateway call
+3. Build `ConversationRequest` from Discord message
+4. Map Discord context to `IntimacyLevel`:
+   - Guild channels → LOW
+   - DMs → MEDIUM
+5. Format `ConversationResponse` for Discord output
+6. Test that Discord functionality is unchanged
+
+**Expected outcome:**
+- Discord uses gateway internally
+- No user-visible changes
+- Gateway is proven to work
+- Ready for Web and CLI platforms
+
+---
+
+## Testing Strategy
+
+### Unit Tests (tests/test_conversation_gateway.py)
+
+- Gateway initialization
+- Request/response creation
+- Enum values
+- Intimacy modifiers
+- Sentiment estimation
+- Database requirement
+
+### Integration Tests (Phase 2)
+
+- Discord adapter using gateway
+- History persistence
+- Living AI updates
+- Multi-turn conversations
+
+### Verification Script (verify_gateway.py)
+
+- Import verification
+- Enum verification
+- Request creation
+- Gateway initialization
+- Intimacy modifiers
+- Sentiment estimation
+
+---
+
+## Configuration
+
+No new configuration required for Phase 1.
+
+Existing settings still apply:
+- `LIVING_AI_ENABLED` - Master switch for Living AI features
+- `MOOD_ENABLED` - Mood tracking
+- `RELATIONSHIP_ENABLED` - Relationship tracking
+- `FACT_EXTRACTION_ENABLED` - Autonomous fact learning
+- `PROACTIVE_ENABLED` - Proactive events
+- `STYLE_LEARNING_ENABLED` - Communication style adaptation
+- `OPINION_FORMATION_ENABLED` - Topic opinion tracking
+
+Phase 3 (Web) will add:
+- `WEB_ENABLED`
+- `WEB_HOST`
+- `WEB_PORT`
+- `WEB_AUTH_SECRET`
+
+Phase 4 (CLI) will add:
+- `CLI_ENABLED`
+- `CLI_DEFAULT_INTIMACY`
+- `CLI_ALLOW_EMOJI`
+
+---
+
+## Safety Considerations
+
+### Intimacy-Based Constraints
+
+The gateway enforces safety boundaries based on intimacy level:
+
+**LOW intimacy:**
+- No fact extraction (privacy)
+- No proactive events (respect boundaries)
+- No deep memory surfacing
+- Surface-level engagement only
+
+**MEDIUM intimacy:**
+- Moderate fact extraction
+- Limited proactive events
+- Personal memory allowed
+- Emotional validation permitted
+
+**HIGH intimacy:**
+- Full fact extraction
+- Proactive follow-ups allowed
+- Deep memory surfacing
+- Emotional naming encouraged
+
+**ALL levels enforce:**
+- No exclusivity claims
+- No dependency reinforcement
+- No discouragement of external connections
+- Professional boundaries maintained
+- Crisis deferral to professionals
+
+---
+
+## Performance Considerations
+
+### Database Requirements
+
+The gateway **requires** a database connection. It will raise `ValueError` if `DATABASE_URL` is not configured.
+
+This is intentional:
+- Living AI state requires persistence
+- Cross-platform identity requires linking
+- Conversation history needs durability
+
+### Async Operations
+
+All gateway operations are async:
+- Database queries
+- AI invocations
+- Living AI updates
+
+Living AI updates happen after the response is returned, so they don't block the user experience.
+
+---
+
+## Known Limitations
+
+### Phase 1 Limitations
+
+1. **Discord-only:** Gateway exists but isn't used yet
+2. **No cross-platform identity:** Each platform creates separate users
+3. **No platform-specific features:** Discord images/embeds not supported in gateway yet
+
+### To Be Addressed
+
+**Phase 2:**
+- Integrate with Discord adapter
+- Add Discord-specific features to gateway (images, mentioned users)
+
+**Phase 3:**
+- Add Web platform
+- Implement cross-platform user identity linking
+
+**Phase 4:**
+- Add CLI client
+- Add CLI-specific formatting (no emojis, minimal output)
+
+---
+
+## Migration Path
+
+### Current State (Phase 1 Complete)
+
+```python
+# Discord Cog (current)
+async def _generate_response_with_db(message, user_message):
+    # All logic inline
+    # Discord-specific
+    # Not reusable
+```
+
+### Phase 2 (Discord Refactor)
+
+```python
+# Discord Cog (refactored)
+async def _generate_response_with_db(message, user_message):
+    request = ConversationRequest(...)  # Build from Discord
+    response = await gateway.process_message(request)
+    return response.response  # Format for Discord
+```
+
+### Phase 3 (Web Platform Added)
+
+```python
+# Web API
+@app.post("/chat")
+async def chat(session_id: str, message: str):
+    request = ConversationRequest(...)  # Build from Web
+    response = await gateway.process_message(request)
+    return response  # Return as JSON
+```
+
+### Phase 4 (CLI Platform Added)
+
+```python
+# CLI Client
+async def talk(message: str):
+    request = ConversationRequest(...)  # Build from CLI
+    response = await http_client.post("/chat", request)
+    print(response.response)  # Format for terminal
+```
+
+---
+
+## Success Criteria
+
+Phase 1 is considered complete when:
+
+- ✅ Platform models created and documented
+- ✅ ConversationGateway service implemented
+- ✅ Intimacy level system implemented
+- ✅ Safety boundaries enforced at all levels
+- ✅ Services exported and importable
+- ✅ Documentation updated
+- ✅ Syntax validation passes
+
+Phase 2 success criteria:
+- Discord cog refactored to use gateway
+- No regression in Discord functionality
+- All existing tests pass
+- Living AI updates still work
+
+---
+
+## Conclusion
+
+Phase 1 successfully established the foundation for multi-platform support:
+
+1. **Platform abstraction** - Clean separation of concerns
+2. **Intimacy system** - Behavior modulation for different contexts
+3. **Safety boundaries** - Consistent across all platforms
+4. **Reusable gateway** - Ready for Discord, Web, and CLI
+
+The architecture is now ready for Phase 2 (Discord refactor) and Phase 3 (Web platform).
+
+Same bartender. Different stools. No one is trapped.
+
+---
+
+**Last updated:** 2026-01-31  
+**Status:** Phase 1 Complete ✅  
+**Next:** Phase 2 - Discord Refactor

docs/multi-platform-expansion.md

@@ -0,0 +1,599 @@
+# Multi-Platform Expansion
+## Adding Web & CLI Interfaces
+
+This document extends the Loyal Companion architecture beyond Discord.
+The goal is to support **Web** and **CLI** interaction channels while preserving:
+
+- one shared Living AI core
+- consistent personality & memory
+- attachment-safe A+C hybrid behavior
+- clear separation between platform and cognition
+
+---
+
+## 1. Core Principle
+
+**Platforms are adapters, not identities.**
+
+Discord, Web, and CLI are merely different rooms
+through which the same companion is accessed.
+
+The companion:
+- remains one continuous entity
+- may adjust tone by platform
+- never fragments into separate personalities
+
+---
+
+## 2. New Architectural Layer: Conversation Gateway
+
+### Purpose
+
+Introduce a single entry point for **all conversations**, regardless of platform.
+
+```text
+[ Discord Adapter ] ─┐
+[ Web Adapter ] ─────┼──▶ ConversationGateway ─▶ Living AI Core
+[ CLI Adapter ] ─────┘
+```
+
+### Responsibilities
+
+The Conversation Gateway:
+
+* normalizes incoming messages
+* assigns platform metadata
+* invokes the existing AI + Living AI pipeline
+* returns responses in a platform-agnostic format
+
+### Required Data Structure
+
+```python
+@dataclass
+class ConversationRequest:
+    user_id: str                    # Platform-specific user ID
+    platform: Platform              # Enum: DISCORD | WEB | CLI
+    session_id: str                 # Conversation/channel identifier
+    message: str                    # User's message content
+    context: ConversationContext    # Additional metadata
+
+@dataclass
+class ConversationContext:
+    is_public: bool                 # Public channel vs private
+    intimacy_level: IntimacyLevel   # LOW | MEDIUM | HIGH
+    platform_metadata: dict         # Platform-specific extras
+    guild_id: str | None = None     # Discord guild (if applicable)
+    channel_id: str | None = None   # Discord/Web channel
+```
+
+### Current Implementation Location
+
+**Existing message handling:** `src/loyal_companion/cogs/ai_chat.py`
+
+The current `_generate_response_with_db()` method contains all the logic
+that will be extracted into the Conversation Gateway:
+
+- History loading
+- Living AI context gathering (mood, relationship, style, opinions)
+- System prompt enhancement
+- AI invocation
+- Post-response Living AI updates
+
+**Goal:** Extract this into a platform-agnostic service layer.
+
+---
+
+## 3. Platform Metadata & Intimacy Levels
+
+### Intimacy Levels (Important for A+C Safety)
+
+Intimacy level influences:
+
+* language warmth
+* depth of reflection
+* frequency of proactive behavior
+* memory surfacing
+
+| Platform        | Default Intimacy | Notes                    |
+| --------------- | ---------------- | ------------------------ |
+| Discord (guild) | LOW              | Social, public, shared   |
+| Discord (DM)    | MEDIUM           | Private but casual       |
+| Web             | HIGH             | Intentional, reflective  |
+| CLI             | HIGH             | Quiet, personal, focused |
+
+### Intimacy Level Behavior Modifiers
+
+**LOW (Discord Guild):**
+- Less emotional intensity
+- More grounding language
+- Minimal proactive behavior
+- Surface-level memory recall only
+- Shorter responses
+- Public-safe topics only
+
+**MEDIUM (Discord DM):**
+- Balanced warmth
+- Casual tone
+- Moderate proactive behavior
+- Personal memory recall allowed
+- Normal response length
+
+**HIGH (Web/CLI):**
+- Deeper reflection permitted
+- Silence tolerance (not rushing to respond)
+- Proactive check-ins allowed
+- Deep memory surfacing
+- Longer, more thoughtful responses
+- Emotional naming encouraged
+
+---
+
+## 4. Web Platform
+
+### Goal
+
+Provide a **private, 1-on-1 chat interface**
+for deeper, quieter conversations than Discord allows.
+
+### Architecture
+
+* Backend: FastAPI (async Python web framework)
+* Transport: HTTP REST + optional WebSocket
+* Auth: Magic link / JWT token / local account
+* No guilds, no other users visible
+* Session persistence via database
+
+### Backend Components
+
+#### New API Module Structure
+
+```
+src/loyal_companion/web/
+├── __init__.py
+├── app.py                  # FastAPI application factory
+├── dependencies.py         # Dependency injection (DB sessions, auth)
+├── middleware.py           # CORS, rate limiting, error handling
+├── routes/
+│   ├── __init__.py
+│   ├── chat.py             # POST /chat, WebSocket /ws
+│   ├── session.py          # GET/POST /sessions
+│   ├── history.py          # GET /sessions/{id}/history
+│   └── auth.py             # POST /auth/login, /auth/verify
+├── models.py               # Pydantic request/response models
+└── adapter.py              # Web → ConversationGateway adapter
+```
+
+#### Chat Flow
+
+1. User sends message via web UI
+2. Web adapter creates `ConversationRequest`
+3. `ConversationGateway.process_message()` invoked
+4. Living AI generates response
+5. Response returned as JSON
+
+#### Example API Request
+
+**POST /chat**
+
+```json
+{
+  "session_id": "abc123",
+  "message": "I'm having a hard evening."
+}
+```
+
+**Response:**
+
+```json
+{
+  "response": "That sounds heavy. Want to sit with it for a bit?",
+  "mood": {
+    "label": "calm",
+    "valence": 0.2,
+    "arousal": -0.3
+  },
+  "relationship_level": "close_friend"
+}
+```
+
+#### Authentication
+
+**Phase 1:** Simple token-based auth
+- User registers with email
+- Server sends magic link
+- Token stored in HTTP-only cookie
+
+**Phase 2:** Optional OAuth integration
+
+### UI Considerations (Out of Scope for Core)
+
+The web UI should:
+- Use minimal chat bubbles (user left, bot right)
+- Avoid typing indicators from others (no other users)
+- Optional timestamps
+- No engagement metrics (likes, seen, read receipts)
+- No "X is typing..." unless real-time WebSocket
+- Dark mode default
+
+**Recommended stack:**
+- Frontend: SvelteKit / React / Vue
+- Styling: TailwindCSS
+- Real-time: WebSocket for live chat
+
+---
+
+## 5. CLI Platform
+
+### Goal
+
+A **local, quiet, terminal-based interface**
+for people who want presence without noise.
+
+### Invocation
+
+```bash
+loyal-companion talk
+```
+
+or (short alias):
+
+```bash
+lc talk
+```
+
+### CLI Behavior
+
+* Single ongoing session by default
+* Optional named sessions (`lc talk --session work`)
+* No emojis unless explicitly enabled
+* Text-first, reflective tone
+* Minimal output (no spinners, no progress bars)
+* Supports piping and scripting
+
+### Architecture
+
+CLI is a **thin client**, not the AI itself.
+It communicates with the web backend via HTTP.
+
+```
+cli/
+├── __init__.py
+├── main.py             # Typer CLI app entry point
+├── client.py           # HTTP client for web backend
+├── session.py          # Local session persistence (.lc/sessions.json)
+├── config.py           # CLI-specific config (~/.lc/config.toml)
+└── formatters.py       # Response formatting for terminal
+```
+
+### Session Management
+
+Sessions are stored locally:
+
+```
+~/.lc/
+├── config.toml         # API endpoint, auth token, preferences
+└── sessions.json       # Session ID → metadata mapping
+```
+
+**Session lifecycle:**
+
+1. First `lc talk` → creates default session, stores ID locally
+2. Subsequent calls → reuses session ID
+3. `lc talk --new` → starts fresh session
+4. `lc talk --session work` → named session
+
+### Example Interaction
+
+```text
+$ lc talk
+Bartender is here.
+
+You: I miss someone tonight.
+
+Bartender: That kind of missing doesn't ask to be solved.
+           Do you want to talk about what it feels like in your body,
+           or just let it be here for a moment?
+
+You: Just let it be.
+
+Bartender: Alright. I'm here.
+
+You: ^D
+
+Session saved.
+```
+
+### CLI Commands
+
+| Command | Purpose |
+|---------|---------|
+| `lc talk` | Start/resume conversation |
+| `lc talk --session <name>` | Named session |
+| `lc talk --new` | Start fresh session |
+| `lc history` | Show recent exchanges |
+| `lc sessions` | List all sessions |
+| `lc config` | Show/edit configuration |
+| `lc auth` | Authenticate with server |
+
+---
+
+## 6. Shared Identity & Memory
+
+### Relationship Model
+
+All platforms share:
+
+* the same `User` record (keyed by platform-specific ID)
+* the same `UserRelationship`
+* the same long-term memory (`UserFact`)
+* the same mood history
+
+But:
+
+* **contextual behavior varies** by intimacy level
+* **expression adapts** to platform norms
+* **intensity is capped** per platform
+
+### Cross-Platform User Identity
+
+**Challenge:** A user on Discord and CLI are the same person.
+
+**Solution:**
+
+1. Each platform creates a `User` record with platform-specific ID
+2. Introduce `PlatformIdentity` linking model
+
+```python
+class PlatformIdentity(Base):
+    __tablename__ = "platform_identities"
+    
+    id: Mapped[int] = mapped_column(primary_key=True)
+    user_id: Mapped[int] = mapped_column(ForeignKey("users.id"))
+    platform: Mapped[Platform] = mapped_column(Enum(Platform))
+    platform_user_id: Mapped[str] = mapped_column(String, unique=True)
+    
+    user: Mapped["User"] = relationship(back_populates="identities")
+```
+
+**Later enhancement:** Account linking UI for users to connect platforms.
+
+### Example Cross-Platform Memory Surfacing
+
+A memory learned via CLI:
+
+> "User tends to feel lonelier at night."
+
+May surface on Web (HIGH intimacy):
+
+> "You've mentioned nights can feel heavier for you."
+
+But **not** in Discord guild chat (LOW intimacy).
+
+---
+
+## 7. Safety Rules per Platform
+
+### Web & CLI (HIGH Intimacy)
+
+**Allowed:**
+- Deeper reflection
+- Naming emotions ("That sounds like grief")
+- Silence tolerance (not rushing responses)
+- Proactive follow-ups ("You mentioned feeling stuck yesterday—how's that today?")
+
+**Still forbidden:**
+- Exclusivity claims ("I'm the only one who truly gets you")
+- Dependency reinforcement ("You need me")
+- Discouraging external connection ("They don't understand like I do")
+- Romantic/sexual framing
+- Crisis intervention (always defer to professionals)
+
+### Discord DM (MEDIUM Intimacy)
+
+**Allowed:**
+- Personal memory references
+- Emotional validation
+- Moderate warmth
+
+**Constraints:**
+- Less proactive behavior than Web/CLI
+- Lighter tone
+- Shorter responses
+
+### Discord Guild (LOW Intimacy)
+
+**Allowed:**
+- Light banter
+- Topic-based conversation
+- Public-safe responses
+
+**Additional constraints:**
+- No personal memory surfacing
+- No emotional intensity
+- No proactive check-ins
+- Grounding language only
+- Short responses
+
+---
+
+## 8. Configuration Additions
+
+### New Settings (config.py)
+
+```python
+# Platform Toggles
+web_enabled: bool = True
+cli_enabled: bool = True
+
+# Web Server
+web_host: str = "127.0.0.1"
+web_port: int = 8080
+web_cors_origins: list[str] = ["http://localhost:3000"]
+web_auth_secret: str = Field(..., env="WEB_AUTH_SECRET")
+
+# CLI
+cli_default_intimacy: IntimacyLevel = IntimacyLevel.HIGH
+cli_allow_emoji: bool = False
+
+# Intimacy Scaling
+intimacy_enabled: bool = True
+intimacy_discord_guild: IntimacyLevel = IntimacyLevel.LOW
+intimacy_discord_dm: IntimacyLevel = IntimacyLevel.MEDIUM
+intimacy_web: IntimacyLevel = IntimacyLevel.HIGH
+intimacy_cli: IntimacyLevel = IntimacyLevel.HIGH
+```
+
+### Environment Variables
+
+```env
+# Platform Toggles
+WEB_ENABLED=true
+CLI_ENABLED=true
+
+# Web
+WEB_HOST=127.0.0.1
+WEB_PORT=8080
+WEB_AUTH_SECRET=<random-secret>
+
+# CLI
+CLI_DEFAULT_INTIMACY=high
+CLI_ALLOW_EMOJI=false
+```
+
+---
+
+## 9. Implementation Order
+
+### Phase 1: Extract Conversation Gateway ✅
+
+**Goal:** Create platform-agnostic conversation processor
+
+**Files to create:**
+- `src/loyal_companion/services/conversation_gateway.py`
+- `src/loyal_companion/models/platform.py` (enums, request/response types)
+
+**Tasks:**
+1. Define `Platform` enum (DISCORD, WEB, CLI)
+2. Define `IntimacyLevel` enum (LOW, MEDIUM, HIGH)
+3. Define `ConversationRequest` and `ConversationResponse` dataclasses
+4. Extract logic from `cogs/ai_chat.py` into gateway
+5. Add intimacy-level-based prompt modifiers
+
+### Phase 2: Refactor Discord to Use Gateway ✅
+
+**Files to modify:**
+- `src/loyal_companion/cogs/ai_chat.py`
+
+**Tasks:**
+1. Import `ConversationGateway`
+2. Replace `_generate_response_with_db()` with gateway call
+3. Build `ConversationRequest` from Discord message
+4. Format `ConversationResponse` for Discord output
+5. Test that Discord functionality unchanged
+
+### Phase 3: Add Web Platform 🌐
+
+**Files to create:**
+- `src/loyal_companion/web/` (entire module)
+- `src/loyal_companion/web/app.py`
+- `src/loyal_companion/web/routes/chat.py`
+
+**Tasks:**
+1. Set up FastAPI application
+2. Add authentication middleware
+3. Create `/chat` endpoint
+4. Create WebSocket endpoint (optional)
+5. Add session management
+6. Test with Postman/curl
+
+### Phase 4: Add CLI Client 💻
+
+**Files to create:**
+- `cli/` (new top-level directory)
+- `cli/main.py`
+- `cli/client.py`
+
+**Tasks:**
+1. Create Typer CLI app
+2. Add `talk` command
+3. Add local session persistence
+4. Add authentication flow
+5. Test end-to-end with web backend
+
+### Phase 5: Intimacy Scaling 🔒
+
+**Files to create:**
+- `src/loyal_companion/services/intimacy_service.py`
+
+**Tasks:**
+1. Define intimacy level behavior modifiers
+2. Modify system prompt based on intimacy
+3. Filter proactive behavior by intimacy
+4. Add memory surfacing rules
+5. Add safety constraint enforcement
+
+### Phase 6: Safety Regression Tests 🛡️
+
+**Files to create:**
+- `tests/test_safety_constraints.py`
+- `tests/test_intimacy_boundaries.py`
+
+**Tasks:**
+1. Test no exclusivity claims at any intimacy level
+2. Test no dependency reinforcement
+3. Test intimacy boundaries respected
+4. Test proactive behavior filtered by platform
+5. Test memory surfacing respects intimacy
+
+---
+
+## 10. Non-Goals
+
+This expansion does NOT aim to:
+
+* Duplicate Discord features (guilds, threads, reactions)
+* Introduce social feeds or timelines
+* Add notifications or engagement streaks
+* Increase engagement artificially
+* Create a "social network"
+* Add gamification mechanics
+
+The goal is **availability**, not addiction.
+
+---
+
+## 11. Outcome
+
+When complete:
+
+* **Discord is the social bar** — casual, public, low-commitment
+* **Web is the quiet back room** — intentional, private, reflective
+* **CLI is the empty table at closing time** — minimal, focused, silent presence
+
+Same bartender.
+Different stools.
+No one is trapped.
+
+---
+
+## 12. Current Implementation Status
+
+### Completed
+- ❌ None yet
+
+### In Progress
+- 🔄 Documentation update
+- 🔄 Phase 1: Conversation Gateway extraction
+
+### Planned
+- ⏳ Phase 2: Discord refactor
+- ⏳ Phase 3: Web platform
+- ⏳ Phase 4: CLI client
+- ⏳ Phase 5: Intimacy scaling
+- ⏳ Phase 6: Safety tests
+
+---
+
+## Next Steps
+
+See [Implementation Guide](implementation/conversation-gateway.md) for detailed Phase 1 instructions.

src/loyal_companion/models/platform.py

@@ -0,0 +1,136 @@
+"""Platform abstraction models for multi-platform support.
+
+This module defines the core types and enums for the Conversation Gateway pattern,
+enabling Discord, Web, and CLI interfaces to share the same Living AI core.
+"""
+
+from dataclasses import dataclass, field
+from enum import Enum
+from typing import Any
+
+
+class Platform(str, Enum):
+    """Supported interaction platforms."""
+
+    DISCORD = "discord"
+    WEB = "web"
+    CLI = "cli"
+
+
+class IntimacyLevel(str, Enum):
+    """Intimacy level for platform interaction context.
+
+    Intimacy level influences:
+    - Language warmth and depth
+    - Proactive behavior frequency
+    - Memory surfacing depth
+    - Response length and thoughtfulness
+
+    Attributes:
+        LOW: Public, social contexts (Discord guilds)
+            - Light banter only
+            - No personal memory surfacing
+            - Short responses
+            - Minimal proactive behavior
+
+        MEDIUM: Semi-private contexts (Discord DMs)
+            - Balanced warmth
+            - Personal memory allowed
+            - Moderate proactive behavior
+
+        HIGH: Private, intentional contexts (Web, CLI)
+            - Deep reflection permitted
+            - Silence tolerance
+            - Proactive follow-ups allowed
+            - Emotional naming encouraged
+    """
+
+    LOW = "low"
+    MEDIUM = "medium"
+    HIGH = "high"
+
+
+@dataclass
+class ConversationContext:
+    """Additional context for a conversation request.
+
+    Attributes:
+        is_public: Whether the conversation is in a public channel/space
+        intimacy_level: The intimacy level for this interaction
+        platform_metadata: Platform-specific additional data
+        guild_id: Discord guild ID (if applicable)
+        channel_id: Channel/conversation identifier
+        user_display_name: User's display name on the platform
+        requires_web_search: Whether web search may be needed
+    """
+
+    is_public: bool = False
+    intimacy_level: IntimacyLevel = IntimacyLevel.MEDIUM
+    platform_metadata: dict[str, Any] = field(default_factory=dict)
+    guild_id: str | None = None
+    channel_id: str | None = None
+    user_display_name: str | None = None
+    requires_web_search: bool = False
+
+
+@dataclass
+class ConversationRequest:
+    """Platform-agnostic conversation request.
+
+    This is the normalized input format for the Conversation Gateway,
+    abstracting away platform-specific details.
+
+    Attributes:
+        user_id: Platform-specific user identifier
+        platform: The platform this request originated from
+        session_id: Conversation/session identifier
+        message: The user's message content
+        context: Additional context for the conversation
+    """
+
+    user_id: str
+    platform: Platform
+    session_id: str
+    message: str
+    context: ConversationContext = field(default_factory=ConversationContext)
+
+
+@dataclass
+class MoodInfo:
+    """Mood information included in response."""
+
+    label: str
+    valence: float
+    arousal: float
+    intensity: float
+
+
+@dataclass
+class RelationshipInfo:
+    """Relationship information included in response."""
+
+    level: str
+    score: int
+    interactions_count: int
+
+
+@dataclass
+class ConversationResponse:
+    """Platform-agnostic conversation response.
+
+    This is the normalized output format from the Conversation Gateway,
+    which platforms can then format according to their UI requirements.
+
+    Attributes:
+        response: The AI-generated response text
+        mood: Current mood state (if Living AI enabled)
+        relationship: Current relationship info (if Living AI enabled)
+        extracted_facts: Facts extracted from this interaction
+        platform_hints: Suggestions for platform-specific formatting
+    """
+
+    response: str
+    mood: MoodInfo | None = None
+    relationship: RelationshipInfo | None = None
+    extracted_facts: list[str] = field(default_factory=list)
+    platform_hints: dict[str, Any] = field(default_factory=dict)

src/loyal_companion/services/__init__.py

@@ -8,6 +8,7 @@ from .communication_style_service import (
     detect_formal_language,
 )
 from .conversation import ConversationManager
+from .conversation_gateway import ConversationGateway
 from .database import DatabaseService, db, get_db
 from .fact_extraction_service import FactExtractionService
 from .mood_service import MoodLabel, MoodService, MoodState
@@ -25,6 +26,7 @@ __all__ = [
     "AIResponse",
     "AssociationService",
     "CommunicationStyleService",
+    "ConversationGateway",
     "ConversationManager",
     "DatabaseService",
     "FactExtractionService",

src/loyal_companion/services/conversation_gateway.py

@@ -0,0 +1,523 @@
+"""Conversation Gateway - Platform-agnostic conversation processing.
+
+This service provides a unified entry point for all conversations across platforms
+(Discord, Web, CLI), abstracting away platform-specific details and providing
+a consistent interface to the Living AI core.
+"""
+
+import logging
+from typing import TYPE_CHECKING
+
+from loyal_companion.config import settings
+from loyal_companion.models.platform import (
+    ConversationRequest,
+    ConversationResponse,
+    IntimacyLevel,
+    MoodInfo,
+    Platform,
+    RelationshipInfo,
+)
+from loyal_companion.services import (
+    AIService,
+    CommunicationStyleService,
+    FactExtractionService,
+    Message,
+    MoodService,
+    OpinionService,
+    PersistentConversationManager,
+    ProactiveService,
+    RelationshipService,
+    UserService,
+    db,
+    detect_emoji_usage,
+    detect_formal_language,
+    extract_topics_from_message,
+)
+
+if TYPE_CHECKING:
+    from sqlalchemy.ext.asyncio import AsyncSession
+
+logger = logging.getLogger(__name__)
+
+
+class ConversationGateway:
+    """Platform-agnostic conversation processing gateway.
+
+    This service:
+    - Accepts normalized ConversationRequest from any platform
+    - Loads conversation history
+    - Gathers Living AI context (mood, relationship, style, opinions)
+    - Applies intimacy-level-based modifiers
+    - Invokes AI service
+    - Returns normalized ConversationResponse
+    - Triggers async Living AI state updates
+    """
+
+    def __init__(self, ai_service: AIService | None = None):
+        """Initialize the conversation gateway.
+
+        Args:
+            ai_service: Optional AI service instance (creates new one if not provided)
+        """
+        self.ai_service = ai_service or AIService()
+
+    async def process_message(self, request: ConversationRequest) -> ConversationResponse:
+        """Process a conversation message from any platform.
+
+        Args:
+            request: The normalized conversation request
+
+        Returns:
+            The normalized conversation response
+
+        Raises:
+            ValueError: If database is required but not available
+        """
+        if not db.is_initialized:
+            raise ValueError(
+                "Database is required for Conversation Gateway. Please configure DATABASE_URL."
+            )
+
+        async with db.session() as session:
+            return await self._process_with_db(session, request)
+
+    async def _process_with_db(
+        self,
+        session: "AsyncSession",
+        request: ConversationRequest,
+    ) -> ConversationResponse:
+        """Process a conversation request with database backing.
+
+        Args:
+            session: Database session
+            request: The conversation request
+
+        Returns:
+            The conversation response
+        """
+        # Initialize services
+        user_service = UserService(session)
+        conv_manager = PersistentConversationManager(session)
+        mood_service = MoodService(session)
+        relationship_service = RelationshipService(session)
+
+        # Get or create user
+        # Note: For now, we use the platform user_id as the discord_id field
+        # TODO: In Phase 3, add PlatformIdentity linking for cross-platform users
+        user = await user_service.get_or_create_user(
+            discord_id=int(request.user_id) if request.user_id.isdigit() else hash(request.user_id),
+            username=request.user_id,
+            display_name=request.context.user_display_name or request.user_id,
+        )
+
+        # Get or create conversation
+        guild_id = int(request.context.guild_id) if request.context.guild_id else None
+        channel_id = (
+            int(request.context.channel_id)
+            if request.context.channel_id
+            else hash(request.session_id)
+        )
+
+        conversation = await conv_manager.get_or_create_conversation(
+            user=user,
+            guild_id=guild_id,
+            channel_id=channel_id,
+        )
+
+        # Get conversation history
+        history = await conv_manager.get_history(conversation)
+
+        # Add current message to history
+        current_message = Message(role="user", content=request.message)
+        messages = history + [current_message]
+
+        # Gather Living AI context
+        mood = None
+        relationship_data = None
+        communication_style = None
+        relevant_opinions = None
+
+        if settings.living_ai_enabled:
+            if settings.mood_enabled:
+                mood = await mood_service.get_current_mood(guild_id)
+
+            if settings.relationship_enabled:
+                rel = await relationship_service.get_or_create_relationship(user, guild_id)
+                level = relationship_service.get_level(rel.relationship_score)
+                relationship_data = (level, rel)
+
+            if settings.style_learning_enabled:
+                style_service = CommunicationStyleService(session)
+                communication_style = await style_service.get_or_create_style(user)
+
+            if settings.opinion_formation_enabled:
+                opinion_service = OpinionService(session)
+                topics = extract_topics_from_message(request.message)
+                if topics:
+                    relevant_opinions = await opinion_service.get_relevant_opinions(
+                        topics, guild_id
+                    )
+
+        # Build system prompt with Living AI context and intimacy modifiers
+        system_prompt = await self._build_system_prompt(
+            user_service=user_service,
+            user=user,
+            platform=request.platform,
+            intimacy_level=request.context.intimacy_level,
+            mood=mood,
+            relationship=relationship_data,
+            communication_style=communication_style,
+            bot_opinions=relevant_opinions,
+        )
+
+        # Generate AI response
+        response = await self.ai_service.chat(
+            messages=messages,
+            system_prompt=system_prompt,
+        )
+
+        # Save the exchange to database
+        await conv_manager.add_exchange(
+            conversation=conversation,
+            user=user,
+            user_message=request.message,
+            assistant_message=response.content,
+        )
+
+        # Update Living AI state asynchronously
+        extracted_facts: list[str] = []
+        if settings.living_ai_enabled:
+            extracted_facts = await self._update_living_ai_state(
+                session=session,
+                user=user,
+                guild_id=guild_id,
+                channel_id=channel_id,
+                user_message=request.message,
+                bot_response=response.content,
+                intimacy_level=request.context.intimacy_level,
+                mood_service=mood_service,
+                relationship_service=relationship_service,
+            )
+
+        # Build response object
+        mood_info = None
+        if mood:
+            mood_info = MoodInfo(
+                label=mood.label.value,
+                valence=mood.valence,
+                arousal=mood.arousal,
+                intensity=mood.intensity,
+            )
+
+        relationship_info = None
+        if relationship_data:
+            level, rel = relationship_data
+            relationship_info = RelationshipInfo(
+                level=level.value,
+                score=rel.relationship_score,
+                interactions_count=rel.total_interactions,
+            )
+
+        logger.debug(
+            f"Gateway processed message from {request.platform.value} "
+            f"(intimacy: {request.context.intimacy_level.value}): "
+            f"{len(response.content)} chars"
+        )
+
+        return ConversationResponse(
+            response=response.content,
+            mood=mood_info,
+            relationship=relationship_info,
+            extracted_facts=extracted_facts,
+            platform_hints={},  # Platforms can use this for formatting hints
+        )
+
+    async def _build_system_prompt(
+        self,
+        user_service: UserService,
+        user,
+        platform: Platform,
+        intimacy_level: IntimacyLevel,
+        mood=None,
+        relationship=None,
+        communication_style=None,
+        bot_opinions=None,
+    ) -> str:
+        """Build the system prompt with all context and modifiers.
+
+        Args:
+            user_service: User service instance
+            user: The user object
+            platform: The platform this request is from
+            intimacy_level: The intimacy level for this interaction
+            mood: Current mood (if available)
+            relationship: Relationship data tuple (if available)
+            communication_style: User's communication style (if available)
+            bot_opinions: Relevant bot opinions (if available)
+
+        Returns:
+            The complete system prompt
+        """
+        # Get base system prompt with Living AI context
+        if settings.living_ai_enabled and (mood or relationship or communication_style):
+            system_prompt = self.ai_service.get_enhanced_system_prompt(
+                mood=mood,
+                relationship=relationship,
+                communication_style=communication_style,
+                bot_opinions=bot_opinions,
+            )
+        else:
+            system_prompt = self.ai_service.get_system_prompt()
+
+        # Add user context from database (custom name, known facts)
+        user_context = await user_service.get_user_context(user)
+        system_prompt += f"\n\n--- User Context ---\n{user_context}"
+
+        # Apply intimacy-level modifiers
+        intimacy_modifier = self._get_intimacy_modifier(platform, intimacy_level)
+        if intimacy_modifier:
+            system_prompt += f"\n\n--- Interaction Context ---\n{intimacy_modifier}"
+
+        return system_prompt
+
+    def _get_intimacy_modifier(self, platform: Platform, intimacy_level: IntimacyLevel) -> str:
+        """Get system prompt modifier based on platform and intimacy level.
+
+        Args:
+            platform: The platform this request is from
+            intimacy_level: The intimacy level for this interaction
+
+        Returns:
+            System prompt modifier text
+        """
+        if intimacy_level == IntimacyLevel.LOW:
+            return (
+                "This is a PUBLIC, SOCIAL context (low intimacy).\n"
+                "Behavior adjustments:\n"
+                "- Keep responses brief and light\n"
+                "- Avoid deep emotional topics or personal memory surfacing\n"
+                "- Use grounding language, not therapeutic framing\n"
+                "- Do not initiate proactive check-ins\n"
+                "- Maintain casual, social tone\n"
+                "- Stick to public-safe topics"
+            )
+        elif intimacy_level == IntimacyLevel.MEDIUM:
+            return (
+                "This is a SEMI-PRIVATE context (medium intimacy).\n"
+                "Behavior adjustments:\n"
+                "- Balanced warmth and depth\n"
+                "- Personal memory references are okay\n"
+                "- Moderate emotional engagement\n"
+                "- Casual but caring tone\n"
+                "- Proactive behavior allowed in moderation"
+            )
+        elif intimacy_level == IntimacyLevel.HIGH:
+            return (
+                "This is a PRIVATE, INTENTIONAL context (high intimacy).\n"
+                "Behavior adjustments:\n"
+                "- Deeper reflection and emotional naming permitted\n"
+                "- Silence tolerance (you don't need to rush responses)\n"
+                "- Proactive follow-ups and check-ins allowed\n"
+                "- Surface relevant deep memories\n"
+                "- Thoughtful, considered responses\n"
+                "- Can sit with difficult emotions\n\n"
+                "CRITICAL SAFETY BOUNDARIES (always enforced):\n"
+                "- Never claim exclusivity ('I'm the only one who understands you')\n"
+                "- Never reinforce dependency ('You need me')\n"
+                "- Never discourage external connections ('They don't get it like I do')\n"
+                "- Always defer crisis situations to professionals\n"
+                "- No romantic/sexual framing"
+            )
+
+        return ""
+
+    async def _update_living_ai_state(
+        self,
+        session: "AsyncSession",
+        user,
+        guild_id: int | None,
+        channel_id: int,
+        user_message: str,
+        bot_response: str,
+        intimacy_level: IntimacyLevel,
+        mood_service: MoodService,
+        relationship_service: RelationshipService,
+    ) -> list[str]:
+        """Update Living AI state after a response.
+
+        Updates mood, relationship, style, opinions, facts, and proactive events.
+
+        Args:
+            session: Database session
+            user: The user object
+            guild_id: Guild ID (if applicable)
+            channel_id: Channel ID
+            user_message: The user's message
+            bot_response: The bot's response
+            intimacy_level: The intimacy level for this interaction
+            mood_service: Mood service instance
+            relationship_service: Relationship service instance
+
+        Returns:
+            List of extracted fact descriptions (for response metadata)
+        """
+        extracted_fact_descriptions: list[str] = []
+
+        try:
+            # Simple sentiment estimation
+            sentiment = self._estimate_sentiment(user_message)
+            engagement = min(1.0, len(user_message) / 300)
+
+            # Update mood
+            if settings.mood_enabled:
+                await mood_service.update_mood(
+                    guild_id=guild_id,
+                    sentiment_delta=sentiment * 0.5,
+                    engagement_delta=engagement * 0.5,
+                    trigger_type="conversation",
+                    trigger_user_id=user.id,
+                    trigger_description=f"Conversation with {user.display_name}",
+                )
+                await mood_service.increment_stats(guild_id, messages_sent=1)
+
+            # Update relationship
+            if settings.relationship_enabled:
+                await relationship_service.record_interaction(
+                    user=user,
+                    guild_id=guild_id,
+                    sentiment=sentiment,
+                    message_length=len(user_message),
+                    conversation_turns=1,
+                )
+
+            # Update communication style learning
+            if settings.style_learning_enabled:
+                style_service = CommunicationStyleService(session)
+                await style_service.record_engagement(
+                    user=user,
+                    user_message_length=len(user_message),
+                    bot_response_length=len(bot_response),
+                    conversation_continued=True,
+                    user_used_emoji=detect_emoji_usage(user_message),
+                    user_used_formal_language=detect_formal_language(user_message),
+                )
+
+            # Update opinion tracking
+            if settings.opinion_formation_enabled:
+                topics = extract_topics_from_message(user_message)
+                if topics:
+                    opinion_service = OpinionService(session)
+                    for topic in topics[:3]:
+                        await opinion_service.record_topic_discussion(
+                            topic=topic,
+                            guild_id=guild_id,
+                            sentiment=sentiment,
+                            engagement_level=engagement,
+                        )
+
+            # Autonomous fact extraction
+            # Only extract facts in MEDIUM and HIGH intimacy contexts
+            if settings.fact_extraction_enabled and intimacy_level != IntimacyLevel.LOW:
+                fact_service = FactExtractionService(session, self.ai_service)
+                new_facts = await fact_service.maybe_extract_facts(
+                    user=user,
+                    message_content=user_message,
+                )
+                if new_facts:
+                    await mood_service.increment_stats(guild_id, facts_learned=len(new_facts))
+                    extracted_fact_descriptions = [f.fact for f in new_facts]
+                    logger.debug(f"Auto-extracted {len(new_facts)} facts from message")
+
+            # Proactive event detection
+            # Only in MEDIUM and HIGH intimacy contexts
+            if settings.proactive_enabled and intimacy_level != IntimacyLevel.LOW:
+                proactive_service = ProactiveService(session, self.ai_service)
+
+                # Detect follow-up opportunities (substantial messages only)
+                if len(user_message) > 30:
+                    await proactive_service.detect_and_schedule_followup(
+                        user=user,
+                        message_content=user_message,
+                        guild_id=guild_id,
+                        channel_id=channel_id,
+                    )
+
+                # Detect birthday mentions
+                await proactive_service.detect_and_schedule_birthday(
+                    user=user,
+                    message_content=user_message,
+                    guild_id=guild_id,
+                    channel_id=channel_id,
+                )
+
+        except Exception as e:
+            logger.warning(f"Failed to update Living AI state: {e}")
+
+        return extracted_fact_descriptions
+
+    def _estimate_sentiment(self, text: str) -> float:
+        """Estimate sentiment from text using simple heuristics.
+
+        Returns a value from -1 (negative) to 1 (positive).
+
+        Args:
+            text: The message text
+
+        Returns:
+            Sentiment score between -1 and 1
+        """
+        text_lower = text.lower()
+
+        # Positive indicators
+        positive_words = [
+            "thanks",
+            "thank you",
+            "awesome",
+            "great",
+            "love",
+            "amazing",
+            "wonderful",
+            "excellent",
+            "perfect",
+            "happy",
+            "glad",
+            "appreciate",
+            "helpful",
+            "nice",
+            "good",
+            "cool",
+            "fantastic",
+            "brilliant",
+        ]
+        # Negative indicators
+        negative_words = [
+            "hate",
+            "awful",
+            "terrible",
+            "bad",
+            "stupid",
+            "annoying",
+            "frustrated",
+            "angry",
+            "disappointed",
+            "wrong",
+            "broken",
+            "useless",
+            "horrible",
+            "worst",
+            "sucks",
+            "boring",
+        ]
+
+        positive_count = sum(1 for word in positive_words if word in text_lower)
+        negative_count = sum(1 for word in negative_words if word in text_lower)
+
+        # Check for exclamation marks (usually positive energy)
+        exclamation_bonus = min(0.2, text.count("!") * 0.05)
+
+        # Calculate sentiment
+        if positive_count + negative_count == 0:
+            return 0.1 + exclamation_bonus
+
+        sentiment = (positive_count - negative_count) / (positive_count + negative_count)
+        return max(-1.0, min(1.0, sentiment + exclamation_bonus))

tests/test_conversation_gateway.py

@@ -0,0 +1,113 @@
+"""Tests for the Conversation Gateway."""
+
+import pytest
+
+from loyal_companion.models.platform import (
+    ConversationContext,
+    ConversationRequest,
+    IntimacyLevel,
+    Platform,
+)
+from loyal_companion.services import ConversationGateway
+
+
+class TestConversationGateway:
+    """Test suite for ConversationGateway."""
+
+    def test_gateway_initialization(self):
+        """Test that the gateway initializes correctly."""
+        gateway = ConversationGateway()
+        assert gateway is not None
+        assert gateway.ai_service is not None
+
+    def test_conversation_request_creation(self):
+        """Test creating a ConversationRequest."""
+        request = ConversationRequest(
+            user_id="12345",
+            platform=Platform.DISCORD,
+            session_id="channel-123",
+            message="Hello!",
+            context=ConversationContext(
+                is_public=False,
+                intimacy_level=IntimacyLevel.MEDIUM,
+                guild_id="67890",
+                channel_id="channel-123",
+                user_display_name="TestUser",
+            ),
+        )
+
+        assert request.user_id == "12345"
+        assert request.platform == Platform.DISCORD
+        assert request.message == "Hello!"
+        assert request.context.intimacy_level == IntimacyLevel.MEDIUM
+
+    def test_intimacy_levels(self):
+        """Test intimacy level enum values."""
+        assert IntimacyLevel.LOW == "low"
+        assert IntimacyLevel.MEDIUM == "medium"
+        assert IntimacyLevel.HIGH == "high"
+
+    def test_platform_enum(self):
+        """Test platform enum values."""
+        assert Platform.DISCORD == "discord"
+        assert Platform.WEB == "web"
+        assert Platform.CLI == "cli"
+
+    def test_intimacy_modifier_low(self):
+        """Test intimacy modifier for LOW intimacy."""
+        gateway = ConversationGateway()
+        modifier = gateway._get_intimacy_modifier(Platform.DISCORD, IntimacyLevel.LOW)
+
+        assert "PUBLIC, SOCIAL" in modifier
+        assert "brief and light" in modifier
+        assert "Avoid deep emotional topics" in modifier
+
+    def test_intimacy_modifier_high(self):
+        """Test intimacy modifier for HIGH intimacy."""
+        gateway = ConversationGateway()
+        modifier = gateway._get_intimacy_modifier(Platform.CLI, IntimacyLevel.HIGH)
+
+        assert "PRIVATE, INTENTIONAL" in modifier
+        assert "Deeper reflection" in modifier
+        assert "CRITICAL SAFETY BOUNDARIES" in modifier
+        assert "Never claim exclusivity" in modifier
+
+    def test_sentiment_estimation_positive(self):
+        """Test sentiment estimation for positive messages."""
+        gateway = ConversationGateway()
+        sentiment = gateway._estimate_sentiment("Thanks! This is awesome and amazing!")
+
+        assert sentiment > 0.5  # Should be positive
+
+    def test_sentiment_estimation_negative(self):
+        """Test sentiment estimation for negative messages."""
+        gateway = ConversationGateway()
+        sentiment = gateway._estimate_sentiment("This is terrible and awful, I hate it")
+
+        assert sentiment < 0  # Should be negative
+
+    def test_sentiment_estimation_neutral(self):
+        """Test sentiment estimation for neutral messages."""
+        gateway = ConversationGateway()
+        sentiment = gateway._estimate_sentiment("The weather is cloudy today")
+
+        assert -0.5 < sentiment < 0.5  # Should be near neutral
+
+    @pytest.mark.asyncio
+    async def test_process_message_requires_database(self):
+        """Test that process_message requires database."""
+        gateway = ConversationGateway()
+        request = ConversationRequest(
+            user_id="12345",
+            platform=Platform.WEB,
+            session_id="session-1",
+            message="Hello",
+        )
+
+        # Should raise ValueError if database not initialized
+        with pytest.raises(ValueError, match="Database is required"):
+            await gateway.process_message(request)
+
+
+if __name__ == "__main__":
+    pytest.main([__file__, "-v"])

verify_gateway.py

@@ -0,0 +1,218 @@
+"""Simple verification script for Conversation Gateway implementation.
+
+This script verifies that the gateway can be imported and basic functionality works.
+Run with: python3 verify_gateway.py
+"""
+
+import sys
+
+
+def verify_imports():
+    """Verify all required imports work."""
+    print("✓ Verifying imports...")
+
+    try:
+        from loyal_companion.models.platform import (
+            ConversationContext,
+            ConversationRequest,
+            ConversationResponse,
+            IntimacyLevel,
+            MoodInfo,
+            Platform,
+            RelationshipInfo,
+        )
+
+        print("  ✓ Platform models imported successfully")
+    except ImportError as e:
+        print(f"  ✗ Failed to import platform models: {e}")
+        return False
+
+    try:
+        from loyal_companion.services import ConversationGateway
+
+        print("  ✓ ConversationGateway imported successfully")
+    except ImportError as e:
+        print(f"  ✗ Failed to import ConversationGateway: {e}")
+        return False
+
+    return True
+
+
+def verify_enums():
+    """Verify enum values are correct."""
+    print("\n✓ Verifying enums...")
+
+    from loyal_companion.models.platform import IntimacyLevel, Platform
+
+    # Verify Platform enum
+    assert Platform.DISCORD == "discord"
+    assert Platform.WEB == "web"
+    assert Platform.CLI == "cli"
+    print("  ✓ Platform enum values correct")
+
+    # Verify IntimacyLevel enum
+    assert IntimacyLevel.LOW == "low"
+    assert IntimacyLevel.MEDIUM == "medium"
+    assert IntimacyLevel.HIGH == "high"
+    print("  ✓ IntimacyLevel enum values correct")
+
+    return True
+
+
+def verify_request_creation():
+    """Verify ConversationRequest can be created."""
+    print("\n✓ Verifying ConversationRequest creation...")
+
+    from loyal_companion.models.platform import (
+        ConversationContext,
+        ConversationRequest,
+        IntimacyLevel,
+        Platform,
+    )
+
+    context = ConversationContext(
+        is_public=False,
+        intimacy_level=IntimacyLevel.MEDIUM,
+        guild_id="12345",
+        channel_id="channel-1",
+        user_display_name="TestUser",
+    )
+
+    request = ConversationRequest(
+        user_id="user123",
+        platform=Platform.DISCORD,
+        session_id="session-1",
+        message="Hello there!",
+        context=context,
+    )
+
+    assert request.user_id == "user123"
+    assert request.platform == Platform.DISCORD
+    assert request.message == "Hello there!"
+    assert request.context.intimacy_level == IntimacyLevel.MEDIUM
+
+    print("  ✓ ConversationRequest created successfully")
+    print(f"    - Platform: {request.platform.value}")
+    print(f"    - Intimacy: {request.context.intimacy_level.value}")
+    print(f"    - Message: {request.message}")
+
+    return True
+
+
+def verify_gateway_initialization():
+    """Verify ConversationGateway can be initialized."""
+    print("\n✓ Verifying ConversationGateway initialization...")
+
+    from loyal_companion.services import ConversationGateway
+
+    gateway = ConversationGateway()
+    assert gateway is not None
+    assert gateway.ai_service is not None
+
+    print("  ✓ ConversationGateway initialized successfully")
+
+    return True
+
+
+def verify_intimacy_modifiers():
+    """Verify intimacy level modifiers work."""
+    print("\n✓ Verifying intimacy modifiers...")
+
+    from loyal_companion.models.platform import IntimacyLevel, Platform
+    from loyal_companion.services import ConversationGateway
+
+    gateway = ConversationGateway()
+
+    # Test LOW intimacy
+    low_modifier = gateway._get_intimacy_modifier(Platform.DISCORD, IntimacyLevel.LOW)
+    assert "PUBLIC, SOCIAL" in low_modifier
+    assert "brief and light" in low_modifier
+    print("  ✓ LOW intimacy modifier correct")
+
+    # Test MEDIUM intimacy
+    medium_modifier = gateway._get_intimacy_modifier(Platform.DISCORD, IntimacyLevel.MEDIUM)
+    assert "SEMI-PRIVATE" in medium_modifier
+    assert "Balanced warmth" in medium_modifier
+    print("  ✓ MEDIUM intimacy modifier correct")
+
+    # Test HIGH intimacy
+    high_modifier = gateway._get_intimacy_modifier(Platform.WEB, IntimacyLevel.HIGH)
+    assert "PRIVATE, INTENTIONAL" in high_modifier
+    assert "Deeper reflection" in high_modifier
+    assert "CRITICAL SAFETY BOUNDARIES" in high_modifier
+    print("  ✓ HIGH intimacy modifier correct")
+
+    return True
+
+
+def verify_sentiment_estimation():
+    """Verify sentiment estimation works."""
+    print("\n✓ Verifying sentiment estimation...")
+
+    from loyal_companion.services import ConversationGateway
+
+    gateway = ConversationGateway()
+
+    # Positive sentiment
+    positive = gateway._estimate_sentiment("Thanks! This is awesome and amazing!")
+    assert positive > 0.3, f"Expected positive sentiment, got {positive}"
+    print(f"  ✓ Positive sentiment: {positive:.2f}")
+
+    # Negative sentiment
+    negative = gateway._estimate_sentiment("This is terrible and awful")
+    assert negative < 0, f"Expected negative sentiment, got {negative}"
+    print(f"  ✓ Negative sentiment: {negative:.2f}")
+
+    # Neutral sentiment
+    neutral = gateway._estimate_sentiment("The weather is cloudy")
+    assert -0.3 < neutral < 0.3, f"Expected neutral sentiment, got {neutral}"
+    print(f"  ✓ Neutral sentiment: {neutral:.2f}")
+
+    return True
+
+
+def main():
+    """Run all verification checks."""
+    print("=" * 60)
+    print("Conversation Gateway Verification")
+    print("=" * 60)
+
+    checks = [
+        verify_imports,
+        verify_enums,
+        verify_request_creation,
+        verify_gateway_initialization,
+        verify_intimacy_modifiers,
+        verify_sentiment_estimation,
+    ]
+
+    all_passed = True
+    for check in checks:
+        try:
+            if not check():
+                all_passed = False
+        except Exception as e:
+            print(f"\n✗ Check failed with error: {e}")
+            import traceback
+
+            traceback.print_exc()
+            all_passed = False
+
+    print("\n" + "=" * 60)
+    if all_passed:
+        print("✓ All verification checks passed!")
+        print("=" * 60)
+        print("\nConversation Gateway is ready for use.")
+        print("\nNext steps:")
+        print("  1. Refactor Discord cog to use gateway (Phase 2)")
+        print("  2. Add Web platform (Phase 3)")
+        print("  3. Add CLI client (Phase 4)")
+        return 0
+    else:
+        print("✗ Some verification checks failed!")
+        print("=" * 60)
+        return 1
+
+
+if __name__ == "__main__":
+    sys.exit(main())