feat: Add presence heartbeat for Matrix online status

- matrix-gateway: POST /internal/matrix/presence/online endpoint
- usePresenceHeartbeat hook with activity tracking
- Auto away after 5 min inactivity
- Offline on page close/visibility change
- Integrated in MatrixChatRoom component

services/llm-proxy/models.py

@@ -0,0 +1,61 @@
+from pydantic import BaseModel, Field
+from typing import Literal, Optional, Dict, Any
+from datetime import datetime
+
+class ChatMessage(BaseModel):
+    role: Literal["system", "user", "assistant"]
+    content: str
+
+class LLMRequest(BaseModel):
+    model: str = Field(..., description="Logical model name (e.g., gpt-4.1-mini)")
+    messages: list[ChatMessage]
+    max_tokens: Optional[int] = Field(None, ge=1, le=32000)
+    temperature: Optional[float] = Field(0.7, ge=0.0, le=2.0)
+    top_p: Optional[float] = Field(1.0, ge=0.0, le=1.0)
+    metadata: Optional[Dict[str, Any]] = Field(default_factory=dict, description="agent_id, microdao_id, channel_id")
+
+class Usage(BaseModel):
+    prompt_tokens: int
+    completion_tokens: int
+    total_tokens: int
+
+class LLMResponse(BaseModel):
+    content: str
+    usage: Usage
+    provider: str
+    model_resolved: str
+    latency_ms: Optional[float] = None
+    cached: bool = False
+
+class ProviderConfig(BaseModel):
+    name: str
+    base_url: str
+    api_key: Optional[str] = None
+    timeout: int = 30
+    max_retries: int = 2
+
+class ModelConfig(BaseModel):
+    logical_name: str
+    provider: str
+    physical_name: str
+    max_tokens: Optional[int] = None
+    cost_per_1k_prompt: Optional[float] = None
+    cost_per_1k_completion: Optional[float] = None
+
+class UsageLog(BaseModel):
+    timestamp: datetime
+    agent_id: Optional[str]
+    microdao_id: Optional[str]
+    channel_id: Optional[str]
+    model: str
+    provider: str
+    prompt_tokens: int
+    completion_tokens: int
+    total_tokens: int
+    latency_ms: float
+    success: bool
+    error: Optional[str] = None
+
+
+
+