serversdown
3b9e0bb1e0
Phase 1 — persona + persistent memory chat loop: - lyra/persona.py + personas/lyra.md: editable identity/voice (friend-first, honest, never invents poker math) - lyra/chat.py: turn loop assembling persona + cross-session recall + recent context, persisting both sides to SQLite - lyra/session.py, lyra/__main__.py: session lifecycle + `lyra` REPL Phase 1.25 — reuse the old web UI: - vendored the prior single-page UI into lyra/web/static, repointed to same-origin - lyra/web/server.py (FastAPI): serves the UI and backs its endpoint contract (/v1/chat/completions, session CRUD, health, inert thinking-stream) with the new chat loop + memory; SQLite stays the single source of truth - `lyra-web` console script Local backends — test for free, no OpenAI key: - llm.embed routes via EMBED_BACKEND (cloud=OpenAI, local=Ollama /api/embed) - simplified UI backend selector to Local (Ollama) / Cloud (OpenAI), default local - memory connection opened check_same_thread=False for the threaded server Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
"""Environment-driven configuration."""
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from __future__ import annotations
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import os
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from dataclasses import dataclass
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from pathlib import Path
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from dotenv import load_dotenv
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load_dotenv()
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@dataclass(frozen=True)
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class Config:
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local_base_url: str
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local_model: str
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openai_api_key: str
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cloud_model: str
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embed_backend: str # "cloud" (OpenAI) or "local" (Ollama)
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embed_model: str # OpenAI embedding model
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local_embed_model: str # Ollama embedding model
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db_path: Path
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def load() -> Config:
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return Config(
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local_base_url=os.getenv("LOCAL_BASE_URL", "http://localhost:11434"),
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local_model=os.getenv("LOCAL_MODEL", "qwen2.5:7b-instruct"),
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openai_api_key=os.getenv("OPENAI_API_KEY", ""),
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cloud_model=os.getenv("CLOUD_MODEL", "gpt-4o-mini"),
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embed_backend=os.getenv("EMBED_BACKEND", "cloud").lower(),
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embed_model=os.getenv("EMBED_MODEL", "text-embedding-3-small"),
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local_embed_model=os.getenv("LOCAL_EMBED_MODEL", "nomic-embed-text"),
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db_path=Path(os.getenv("LYRA_DB_PATH", "data/lyra.db")),
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)
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