Initial project structure

Scaffold all modules, route stubs, data models, and config.
No logic implemented yet — all core methods raise NotImplementedError.
Establishes the full directory layout matching the architecture in CLAUDE.md.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

fellowship/config.py

@@ -0,0 +1,29 @@
+"""
+Server-wide configuration loaded from .env via Pydantic Settings.
+All modules import `settings` from here — never read env vars directly.
+"""
+
+from pydantic import Field
+from pydantic_settings import BaseSettings
+
+
+class Settings(BaseSettings):
+    # LLM backend
+    llm_base_url: str = Field(description="OpenAI-compatible LLM backend base URL")
+    llm_api_key: str = Field(default="not-needed", description="API key for the LLM backend")
+
+    # Default models (can be overridden per-session or per-bot)
+    default_bot_model: str = Field(description="Default model used for bot turns")
+    default_orchestrator_model: str = Field(description="Model used for orchestrator calls")
+
+    # Server limits
+    max_bots_per_session: int = Field(default=10, description="Hard cap on bots per session")
+    session_ttl_default: int = Field(default=3600, description="Default idle TTL in seconds")
+
+    # Debug
+    debug: bool = Field(default=False, description="Enable debug mode server-wide")
+
+    model_config = {"env_file": ".env", "env_file_encoding": "utf-8"}
+
+
+settings = Settings()  # type: ignore[call-arg]