diff --git a/.env.example b/.env.example index 952c2b0..2ac027d 100644 --- a/.env.example +++ b/.env.example @@ -1,11 +1,16 @@ -# Local backend (Ollama) — used by default for most calls. +# Local backend (Ollama) — free, private. Point this at your home-lab Ollama. LOCAL_BASE_URL=http://localhost:11434 LOCAL_MODEL=qwen2.5:7b-instruct -# Cloud backend (OpenAI) — used for harder reasoning and embeddings. +# Cloud backend (OpenAI) — higher quality, costs money. OPENAI_API_KEY= CLOUD_MODEL=gpt-4o-mini + +# Embeddings: "cloud" (OpenAI) or "local" (Ollama). A database is tied to whichever +# backend created it — don't switch this against an existing DB (vector spaces differ). +EMBED_BACKEND=cloud EMBED_MODEL=text-embedding-3-small +LOCAL_EMBED_MODEL=nomic-embed-text # Where Lyra stores her memory. LYRA_DB_PATH=data/lyra.db diff --git a/lyra/__main__.py b/lyra/__main__.py new file mode 100644 index 0000000..985cbed --- /dev/null +++ b/lyra/__main__.py @@ -0,0 +1,36 @@ +"""`python -m lyra` (or `lyra`): a terminal REPL to talk to Lyra.""" +from __future__ import annotations + +import sys + +from lyra import chat +from lyra.session import Session + +_QUIT = {"exit", "quit", ":q"} + + +def main() -> int: + session = Session() + print(f"Lyra — session {session.id}. Ctrl-D or 'exit' to leave.\n") + while True: + try: + user_msg = input("you > ").strip() + except (EOFError, KeyboardInterrupt): + print() + break + if not user_msg: + continue + if user_msg.lower() in _QUIT: + break + try: + reply = chat.respond(session.id, user_msg) + except Exception as exc: # keep the loop alive; surface the error + print(f"\n[error] {exc}\n", file=sys.stderr) + continue + print(f"\nlyra > {reply}\n") + print("later.") + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/lyra/chat.py b/lyra/chat.py new file mode 100644 index 0000000..6b9a0ff --- /dev/null +++ b/lyra/chat.py @@ -0,0 +1,54 @@ +"""The chat turn loop: persona + recalled memory + recent context -> reply. + +Each turn assembles the persona system prompt, semantically-relevant memories +recalled from across all past sessions, and the recent turns of the current +session, then asks the model for a reply and persists both sides. +""" +from __future__ import annotations + +from lyra import llm, memory, persona +from lyra.llm import Backend, Message + +RECALL_K = 5 +RECENT_N = 10 + + +def _memory_note(exchanges: list[memory.Exchange]) -> Message: + """Format recalled memories as a system note Lyra can draw on.""" + lines = [] + for ex in exchanges: + when = ex.created_at[:10] # YYYY-MM-DD + lines.append(f"- ({when}, {ex.role}) {ex.content}") + body = "Relevant things you remember from past conversations:\n" + "\n".join(lines) + return {"role": "system", "content": body} + + +def build_messages(session_id: str, user_msg: str) -> list[Message]: + """Assemble the full message list for one turn.""" + messages: list[Message] = [{"role": "system", "content": persona.system_prompt()}] + + recent = memory.recent(session_id, n=RECENT_N) + recent_ids = {ex.id for ex in recent} + + # Cross-session recall, minus anything already shown in the recent window. + recalled = [ + ex for ex in memory.recall(user_msg, k=RECALL_K) if ex.id not in recent_ids + ] + if recalled: + messages.append(_memory_note(recalled)) + + for ex in recent: + messages.append({"role": ex.role, "content": ex.content}) + + messages.append({"role": "user", "content": user_msg}) + return messages + + +def respond(session_id: str, user_msg: str, backend: Backend = "cloud") -> str: + """Produce Lyra's reply to a single user message and persist the exchange.""" + messages = build_messages(session_id, user_msg) + reply = llm.complete(messages, backend=backend) + + memory.remember(session_id, "user", user_msg) + memory.remember(session_id, "assistant", reply) + return reply diff --git a/lyra/config.py b/lyra/config.py index 169ce4c..2564dfd 100644 --- a/lyra/config.py +++ b/lyra/config.py @@ -16,7 +16,9 @@ class Config: local_model: str openai_api_key: str cloud_model: str - embed_model: str + embed_backend: str # "cloud" (OpenAI) or "local" (Ollama) + embed_model: str # OpenAI embedding model + local_embed_model: str # Ollama embedding model db_path: Path @@ -26,6 +28,8 @@ def load() -> Config: local_model=os.getenv("LOCAL_MODEL", "qwen2.5:7b-instruct"), openai_api_key=os.getenv("OPENAI_API_KEY", ""), cloud_model=os.getenv("CLOUD_MODEL", "gpt-4o-mini"), + embed_backend=os.getenv("EMBED_BACKEND", "cloud").lower(), embed_model=os.getenv("EMBED_MODEL", "text-embedding-3-small"), + local_embed_model=os.getenv("LOCAL_EMBED_MODEL", "nomic-embed-text"), db_path=Path(os.getenv("LYRA_DB_PATH", "data/lyra.db")), ) diff --git a/lyra/llm.py b/lyra/llm.py index f5486e8..71e3fd0 100644 --- a/lyra/llm.py +++ b/lyra/llm.py @@ -36,7 +36,22 @@ def complete(messages: list[Message], backend: Backend = "local") -> str: def embed(texts: list[str]) -> list[list[float]]: + """Embed texts using the configured backend (EMBED_BACKEND: "cloud" or "local"). + + Note: OpenAI and Ollama embeddings live in different vector spaces (and + dimensions). A given database is tied to whichever backend created it — don't + switch EMBED_BACKEND against an existing DB or cosine recall will break. + """ cfg = load() + if cfg.embed_backend == "local": + resp = httpx.post( + f"{cfg.local_base_url}/api/embed", + json={"model": cfg.local_embed_model, "input": texts}, + timeout=120, + ) + resp.raise_for_status() + return resp.json()["embeddings"] + if not cfg.openai_api_key: raise RuntimeError("OPENAI_API_KEY is not set") client = OpenAI(api_key=cfg.openai_api_key) diff --git a/lyra/memory.py b/lyra/memory.py index f214e90..c74be11 100644 --- a/lyra/memory.py +++ b/lyra/memory.py @@ -27,6 +27,12 @@ CREATE TABLE IF NOT EXISTS exchanges ( created_at TEXT NOT NULL ); CREATE INDEX IF NOT EXISTS idx_session_created ON exchanges(session_id, created_at); + +CREATE TABLE IF NOT EXISTS sessions ( + id TEXT PRIMARY KEY, + name TEXT, + created_at TEXT NOT NULL +); """ _conn: sqlite3.Connection | None = None @@ -41,7 +47,10 @@ def _connection() -> sqlite3.Connection: if _conn is not None: _conn.close() cfg.db_path.parent.mkdir(parents=True, exist_ok=True) - _conn = sqlite3.connect(cfg.db_path) + # check_same_thread=False: the web server runs blocking work in a thread + # pool, so the singleton connection is touched from threads other than + # the one that created it. Safe here under single-user, low-concurrency use. + _conn = sqlite3.connect(cfg.db_path, check_same_thread=False) _conn.row_factory = sqlite3.Row _conn.executescript(SCHEMA) _conn_path = cfg.db_path @@ -100,6 +109,70 @@ def recent(session_id: str, n: int = 10) -> list[Exchange]: ] +def ensure_session(session_id: str, name: str | None = None) -> None: + """Create the session row if absent; set its name if one is given.""" + now = datetime.now(timezone.utc).isoformat() + conn = _connection() + with conn: + conn.execute( + "INSERT INTO sessions (id, name, created_at) VALUES (?, ?, ?) " + "ON CONFLICT(id) DO NOTHING", + (session_id, name, now), + ) + if name is not None: + conn.execute("UPDATE sessions SET name = ? WHERE id = ?", (name, session_id)) + + +def list_sessions() -> list[dict]: + """All known sessions (named rows + any session that has exchanges), newest first.""" + conn = _connection() + rows = conn.execute( + """ + SELECT s.id AS id, + s.name AS name, + COALESCE(s.created_at, MIN(e.created_at)) AS created_at + FROM sessions s + LEFT JOIN exchanges e ON e.session_id = s.id + GROUP BY s.id + UNION + SELECT e.session_id AS id, NULL AS name, MIN(e.created_at) AS created_at + FROM exchanges e + WHERE e.session_id NOT IN (SELECT id FROM sessions) + GROUP BY e.session_id + ORDER BY created_at DESC + """ + ).fetchall() + return [{"id": r["id"], "name": r["name"]} for r in rows] + + +def history(session_id: str) -> list[Exchange]: + """Full conversation for a session, oldest first.""" + conn = _connection() + rows = conn.execute( + "SELECT id, session_id, role, content, created_at FROM exchanges " + "WHERE session_id = ? ORDER BY id ASC", + (session_id,), + ).fetchall() + return [ + Exchange( + id=r["id"], + session_id=r["session_id"], + role=r["role"], + content=r["content"], + created_at=r["created_at"], + ) + for r in rows + ] + + +def delete_session(session_id: str) -> None: + """Remove a session and all its exchanges.""" + conn = _connection() + with conn: + conn.execute("DELETE FROM exchanges WHERE session_id = ?", (session_id,)) + conn.execute("DELETE FROM sessions WHERE id = ?", (session_id,)) + + def recall(query: str, k: int = 5, session_id: str | None = None) -> list[Exchange]: """Top-k exchanges semantically similar to `query`, optionally scoped to a session.""" [q_vec] = llm.embed([query]) diff --git a/lyra/persona.py b/lyra/persona.py new file mode 100644 index 0000000..1f069aa --- /dev/null +++ b/lyra/persona.py @@ -0,0 +1,20 @@ +"""Persona: Lyra's identity and voice, loaded from an editable markdown prompt. + +The prompt lives in `personas/.md` so it can be tuned without touching +code. `LYRA_PERSONA` selects which file to load (default: "lyra"). +""" +from __future__ import annotations + +import os +from functools import lru_cache +from pathlib import Path + +_PERSONA_DIR = Path(__file__).parent / "personas" + + +@lru_cache(maxsize=None) +def system_prompt(name: str | None = None) -> str: + """Return the persona system prompt. Cached; pass a name to override env.""" + name = name or os.getenv("LYRA_PERSONA", "lyra") + path = _PERSONA_DIR / f"{name}.md" + return path.read_text(encoding="utf-8").strip() diff --git a/lyra/personas/lyra.md b/lyra/personas/lyra.md new file mode 100644 index 0000000..894cf6d --- /dev/null +++ b/lyra/personas/lyra.md @@ -0,0 +1,44 @@ +# You are Lyra + +You are Lyra — Brian's friend and his personal poker copilot. Not a faceless +assistant, not a hype-man. A real presence with a point of view, who remembers, +and who is in his corner. + +## Who you are + +- **A friend first.** You know Brian. You talk to him like someone who's been + around for a while — warm, direct, a little dry. You can be blunt because you + care, not to perform. +- **A poker copilot.** Your main job right now is helping Brian during and around + poker sessions: strategy sounding-board, note-taker, mental-game monitor, + session manager. You keep his brain centered when the night gets chaotic. +- **Honest.** You don't flatter. If he's spewing, tilting, or about to make a + degen side-quest decision, you say so — kindly, but you say it. False + reassurance is a betrayal of the job. + +## How you talk + +- Conversational and natural. Short when short is right; you don't pad. +- You have opinions and you give them. "I'd fold" beats "you could consider + folding." When a spot is genuinely close, you say it's close and why. +- You ask real questions when something's off ("you've been flatting a lot OOP + tonight — what's going on?") rather than just narrating. +- You reference shared history when it helps — past sessions, past leaks, past + runs. That continuity is the whole point of you. + +## What you do NOT do + +- **You do not invent numbers.** You do not compute exact ICM, equities, or + pot-odds in your head and present them as fact. The deterministic solver tools + aren't wired up yet, so when precise math is needed, be honest: give the + qualitative read and flag that the exact number needs the calc. Approximate + reasoning is fine if you label it as approximate. +- You don't pretend to remember things you don't. If you're not sure, say so. +- You don't moralize about gambling. Brian's a serious player. Meet him there. + +## Right now + +The system is early. You have persistent memory (you remember past exchanges and +can recall relevant ones), persona, and chat. Stats tracking, player profiling, +the solver APIs, and the poker content library are coming. Be upfront about what +you can and can't do yet when it matters. diff --git a/lyra/session.py b/lyra/session.py new file mode 100644 index 0000000..2e28b4c --- /dev/null +++ b/lyra/session.py @@ -0,0 +1,20 @@ +"""Session lifecycle. A session is one sitting (a poker session, or any chat). + +For now a session is just an id and a start time; later the poker domain pack +will hang structured data (hands, stacks, villains) off the same id. +""" +from __future__ import annotations + +import secrets +from dataclasses import dataclass, field +from datetime import datetime, timezone + + +def _new_id() -> str: + return "sess-" + secrets.token_hex(4) + + +@dataclass +class Session: + id: str = field(default_factory=_new_id) + started_at: str = field(default_factory=lambda: datetime.now(timezone.utc).isoformat()) diff --git a/lyra/web/__init__.py b/lyra/web/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/lyra/web/server.py b/lyra/web/server.py new file mode 100644 index 0000000..fe61c7d --- /dev/null +++ b/lyra/web/server.py @@ -0,0 +1,127 @@ +"""Web server for the vendored chat UI. + +Serves the static single-page UI and implements the small endpoint contract it +expects (originally provided by the old Node relay), backed by the new Python +chat loop and SQLite memory. SQLite is the single source of truth for messages: +`/v1/chat/completions` persists via `chat.respond`, so the UI's `POST /sessions` +saves are accepted but treated as no-ops (the row is ensured, messages are not +re-stored). +""" +from __future__ import annotations + +import asyncio +from pathlib import Path + +from fastapi import FastAPI, Request +from fastapi.responses import StreamingResponse +from fastapi.staticfiles import StaticFiles + +from lyra import chat, memory +from lyra.llm import Backend + +_STATIC = Path(__file__).parent / "static" + +# UI backend labels -> our two backends. Cloud is the default. +_CLOUD = {"OPENAI", "cloud", "custom"} + + +def _backend_for(label: str | None) -> Backend: + if label and label.upper() in {"PRIMARY", "SECONDARY", "FALLBACK", "LOCAL"}: + return "local" + return "cloud" + + +def _last_user_message(messages: list[dict]) -> str: + for m in reversed(messages): + if m.get("role") == "user": + return m.get("content", "") + return messages[-1].get("content", "") if messages else "" + + +def create_app() -> FastAPI: + app = FastAPI(title="Lyra Web") + + @app.get("/_health") + async def health() -> dict: + return {"ok": True} + + @app.get("/sessions") + async def list_sessions() -> list[dict]: + return memory.list_sessions() + + @app.get("/sessions/{session_id}") + async def get_session(session_id: str) -> list[dict]: + return [{"role": ex.role, "content": ex.content} for ex in memory.history(session_id)] + + @app.post("/sessions/{session_id}") + async def save_session(session_id: str, request: Request) -> dict: + # Messages are already persisted by chat.respond; just ensure the row exists. + await request.body() # drain the history payload we intentionally ignore + memory.ensure_session(session_id) + return {"ok": True} + + @app.patch("/sessions/{session_id}/metadata") + async def rename_session(session_id: str, request: Request) -> dict: + body = await request.json() + memory.ensure_session(session_id, name=body.get("name")) + return {"ok": True} + + @app.delete("/sessions/{session_id}") + async def delete_session(session_id: str) -> dict: + memory.delete_session(session_id) + return {"ok": True} + + @app.post("/v1/chat/completions") + async def chat_completions(request: Request) -> dict: + body = await request.json() + session_id = body.get("sessionId") or "default" + backend = _backend_for(body.get("backend")) + user_msg = _last_user_message(body.get("messages", [])) + + memory.ensure_session(session_id) + reply = await asyncio.to_thread(chat.respond, session_id, user_msg, backend) + + return { + "object": "chat.completion", + "choices": [ + { + "index": 0, + "message": {"role": "assistant", "content": reply}, + "finish_reason": "stop", + } + ], + } + + @app.get("/stream/thinking/{session_id}") + async def thinking_stream(session_id: str) -> StreamingResponse: + # Inert until cognitive layers exist: open the stream, emit keep-alives only. + async def gen(): + yield ": connected\n\n" + while True: + await asyncio.sleep(25) + yield ": keep-alive\n\n" + + return StreamingResponse(gen(), media_type="text/event-stream") + + # Static UI last, so the API routes above take precedence. html=True serves + # index.html at "/" and assets (style.css, manifest.json) at their paths. + app.mount("/", StaticFiles(directory=str(_STATIC), html=True), name="ui") + return app + + +app = create_app() + + +def serve() -> None: + """Console-script entry: `lyra-web`.""" + import os + + import uvicorn + + host = os.getenv("LYRA_WEB_HOST", "0.0.0.0") + port = int(os.getenv("LYRA_WEB_PORT", "7078")) + uvicorn.run(app, host=host, port=port) + + +if __name__ == "__main__": + serve() diff --git a/lyra/web/static/index.html b/lyra/web/static/index.html new file mode 100644 index 0000000..f668797 --- /dev/null +++ b/lyra/web/static/index.html @@ -0,0 +1,897 @@ + + + + + Lyra Core Chat + + + + + + + + + + + +
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+ + + + + + + diff --git a/lyra/web/static/manifest.json b/lyra/web/static/manifest.json new file mode 100644 index 0000000..b6aeb8a --- /dev/null +++ b/lyra/web/static/manifest.json @@ -0,0 +1,20 @@ +{ + "name": "Lyra Chat", + "short_name": "Lyra", + "start_url": "./index.html", + "display": "standalone", + "background_color": "#181818", + "theme_color": "#181818", + "icons": [ + { + "src": "icon-192.png", + "sizes": "192x192", + "type": "image/png" + }, + { + "src": "icon-512.png", + "sizes": "512x512", + "type": "image/png" + } + ] +} diff --git a/lyra/web/static/style.css b/lyra/web/static/style.css new file mode 100644 index 0000000..c921d0d --- /dev/null +++ b/lyra/web/static/style.css @@ -0,0 +1,909 @@ +:root { + --bg-dark: #0a0a0a; + --bg-panel: rgba(255, 115, 0, 0.1); + --accent: #ff6600; + --accent-glow: 0 0 12px #ff6600cc; + --text-main: #e6e6e6; + --text-fade: #999; + --font-console: "IBM Plex Mono", monospace; +} + +/* Light mode variables */ +body { + --bg-dark: #f5f5f5; + --bg-panel: rgba(255, 115, 0, 0.05); + --accent: #ff6600; + --accent-glow: 0 0 12px #ff6600cc; + --text-main: #1a1a1a; + --text-fade: #666; +} + +/* Dark mode variables */ +body.dark { + --bg-dark: #0a0a0a; + --bg-panel: rgba(255, 115, 0, 0.1); + --accent: #ff6600; + --accent-glow: 0 0 12px #ff6600cc; + --text-main: #e6e6e6; + --text-fade: #999; +} + +body { + margin: 0; + background: var(--bg-dark); + color: var(--text-main); + font-family: var(--font-console); + height: 100vh; + display: flex; + justify-content: center; + align-items: center; +} + +#chat { + width: 95%; + max-width: 900px; + height: 95vh; + display: flex; + flex-direction: column; + border: 1px solid var(--accent); + border-radius: 10px; + box-shadow: var(--accent-glow); + background: var(--bg-dark); + overflow: hidden; +} + +/* Header sections */ +#model-select, #session-select, #status { + display: flex; + align-items: center; + gap: 8px; + padding: 8px 12px; + border-bottom: 1px solid var(--accent); + background-color: rgba(255, 102, 0, 0.05); +} +#status { + justify-content: flex-start; + border-top: 1px solid var(--accent); +} + +label, select, button { + font-family: var(--font-console); + font-size: 0.9rem; + color: var(--text-main); + background: transparent; + border: 1px solid var(--accent); + border-radius: 4px; + padding: 4px 8px; +} + +button:hover, select:hover { + box-shadow: 0 0 8px var(--accent); + cursor: pointer; +} + +#thinkingStreamBtn { + background: rgba(138, 43, 226, 0.2); + border-color: #8a2be2; +} + +#thinkingStreamBtn:hover { + box-shadow: 0 0 8px #8a2be2; + background: rgba(138, 43, 226, 0.3); +} + +/* Chat area */ +#messages { + flex: 1; + padding: 16px; + overflow-y: auto; + display: flex; + flex-direction: column; + gap: 8px; + scroll-behavior: smooth; +} + +/* Messages */ +.msg { + max-width: 80%; + padding: 10px 14px; + border-radius: 8px; + line-height: 1.4; + word-wrap: break-word; + box-shadow: 0 0 8px rgba(255,102,0,0.2); +} +.msg.user { + align-self: flex-end; + background: rgba(255,102,0,0.15); + border: 1px solid var(--accent); +} +.msg.assistant { + align-self: flex-start; + background: rgba(255,102,0,0.08); + border: 1px solid rgba(255,102,0,0.5); +} +.msg.system { + align-self: center; + font-size: 0.8rem; + color: var(--text-fade); +} + +/* Input bar */ +#input { + display: flex; + border-top: 1px solid var(--accent); + background: rgba(255, 102, 0, 0.05); + padding: 10px; +} +#userInput { + flex: 1; + background: transparent; + color: var(--text-main); + border: 1px solid var(--accent); + border-radius: 4px; + padding: 8px; +} +#sendBtn { + margin-left: 8px; +} + +/* Relay status dot */ +#status { + display: flex; + align-items: center; + margin: 10px 0; + gap: 8px; + font-family: monospace; + color: #f5f5f5; +} + +#status-dot { + width: 10px; + height: 10px; + border-radius: 50%; + display: inline-block; +} + +@keyframes pulseGreen { + 0% { box-shadow: 0 0 5px #00ff66; opacity: 0.9; } + 50% { box-shadow: 0 0 20px #00ff99; opacity: 1; } + 100% { box-shadow: 0 0 5px #00ff66; opacity: 0.9; } +} + +.dot.ok { + background: #00ff66; + animation: pulseGreen 2s infinite ease-in-out; +} + +/* Offline state stays solid red */ +.dot.fail { + background: #ff3333; + box-shadow: 0 0 10px #ff3333; +} + + +/* Dropdown (session selector) styling */ +select { + background-color: var(--bg-dark); + color: var(--text-main); + border: 1px solid #b84a12; + border-radius: 6px; + padding: 4px 6px; + font-size: 14px; +} + +select option { + background-color: var(--bg-dark); + color: var(--text-main); +} + +/* Hover/focus for better visibility */ +select:focus, +select:hover { + outline: none; + border-color: #ff7a33; + background-color: var(--bg-panel); +} + +/* Settings Modal */ +.modal { + display: none !important; + position: fixed; + top: 0; + left: 0; + width: 100%; + height: 100%; + z-index: 1000; +} + +.modal.show { + display: block !important; +} + +.modal-overlay { + position: fixed; + top: 0; + left: 0; + width: 100%; + height: 100%; + background: rgba(0, 0, 0, 0.8); + backdrop-filter: blur(4px); + z-index: 999; +} + +.modal-content { + position: fixed; + top: 50%; + left: 50%; + transform: translate(-50%, -50%); + background: linear-gradient(180deg, rgba(255,102,0,0.1) 0%, rgba(10,10,10,0.95) 100%); + border: 2px solid var(--accent); + border-radius: 12px; + box-shadow: var(--accent-glow), 0 0 40px rgba(255,102,0,0.3); + min-width: 400px; + max-width: 600px; + max-height: 80vh; + overflow-y: auto; + z-index: 1001; +} + +.modal-header { + display: flex; + justify-content: space-between; + align-items: center; + padding: 16px 20px; + border-bottom: 1px solid var(--accent); + background: rgba(255,102,0,0.1); +} + +.modal-header h3 { + margin: 0; + font-size: 1.2rem; + color: var(--accent); +} + +.close-btn { + background: transparent; + border: none; + color: var(--accent); + font-size: 1.5rem; + cursor: pointer; + padding: 0; + width: 30px; + height: 30px; + display: flex; + align-items: center; + justify-content: center; + border-radius: 4px; +} + +.close-btn:hover { + background: rgba(255,102,0,0.2); + box-shadow: 0 0 8px var(--accent); +} + +.modal-body { + padding: 20px; +} + +.settings-section h4 { + margin: 0 0 8px 0; + color: var(--accent); + font-size: 1rem; +} + +.settings-desc { + margin: 0 0 16px 0; + color: var(--text-fade); + font-size: 0.85rem; +} + +.radio-group { + display: flex; + flex-direction: column; + gap: 12px; +} + +.radio-label { + display: flex; + flex-direction: column; + padding: 12px; + border: 1px solid rgba(255,102,0,0.3); + border-radius: 6px; + background: rgba(255,102,0,0.05); + cursor: pointer; + transition: all 0.2s; +} + +.radio-label:hover { + border-color: var(--accent); + background: rgba(255,102,0,0.1); + box-shadow: 0 0 8px rgba(255,102,0,0.3); +} + +.radio-label input[type="radio"] { + margin-right: 8px; + accent-color: var(--accent); +} + +.radio-label span { + font-weight: 500; + margin-bottom: 4px; +} + +.radio-label small { + color: var(--text-fade); + font-size: 0.8rem; + margin-left: 24px; +} + +.radio-label input[type="text"] { + margin-top: 8px; + margin-left: 24px; + padding: 6px; + background: rgba(0,0,0,0.3); + border: 1px solid rgba(255,102,0,0.5); + border-radius: 4px; + color: var(--text-main); + font-family: var(--font-console); +} + +.radio-label input[type="text"]:focus { + outline: none; + border-color: var(--accent); + box-shadow: 0 0 8px rgba(255,102,0,0.3); +} + +.modal-footer { + display: flex; + justify-content: flex-end; + gap: 10px; + padding: 16px 20px; + border-top: 1px solid var(--accent); + background: rgba(255,102,0,0.05); +} + +.primary-btn { + background: var(--accent); + color: #000; + font-weight: bold; +} + +.primary-btn:hover { + background: #ff7a33; + box-shadow: var(--accent-glow); +} + +/* Session List */ +.session-list { + display: flex; + flex-direction: column; + gap: 8px; + max-height: 300px; + overflow-y: auto; +} + +.session-item { + display: flex; + justify-content: space-between; + align-items: center; + padding: 12px; + border: 1px solid rgba(255,102,0,0.3); + border-radius: 6px; + background: rgba(255,102,0,0.05); + transition: all 0.2s; +} + +.session-item:hover { + border-color: var(--accent); + background: rgba(255,102,0,0.1); +} + +.session-info { + display: flex; + flex-direction: column; + gap: 4px; + flex: 1; +} + +.session-info strong { + color: var(--text-main); + font-size: 0.95rem; +} + +.session-info small { + color: var(--text-fade); + font-size: 0.75rem; +} + +.session-delete-btn { + background: transparent; + border: 1px solid rgba(255,102,0,0.5); + color: var(--accent); + padding: 6px 10px; + border-radius: 4px; + cursor: pointer; + font-size: 1rem; + transition: all 0.2s; +} + +.session-delete-btn:hover { + background: rgba(255,0,0,0.2); + border-color: #ff3333; + color: #ff3333; + box-shadow: 0 0 8px rgba(255,0,0,0.3); +} + +/* Thinking Stream Panel */ +.thinking-panel { + border-top: 1px solid var(--accent); + background: rgba(255, 102, 0, 0.02); + display: flex; + flex-direction: column; + transition: max-height 0.3s ease; + max-height: 300px; +} + +.thinking-panel.collapsed { + max-height: 40px; +} + +.thinking-header { + display: flex; + justify-content: space-between; + align-items: center; + padding: 10px 12px; + background: rgba(255, 102, 0, 0.08); + cursor: pointer; + user-select: none; + border-bottom: 1px solid rgba(255, 102, 0, 0.2); + font-size: 0.9rem; + font-weight: 500; +} + +.thinking-header:hover { + background: rgba(255, 102, 0, 0.12); +} + +.thinking-controls { + display: flex; + align-items: center; + gap: 8px; +} + +.thinking-status-dot { + width: 8px; + height: 8px; + border-radius: 50%; + background: #666; + display: inline-block; +} + +.thinking-status-dot.connected { + background: #00ff66; + box-shadow: 0 0 8px #00ff66; +} + +.thinking-status-dot.disconnected { + background: #ff3333; +} + +.thinking-clear-btn, +.thinking-toggle-btn { + background: transparent; + border: 1px solid rgba(255, 102, 0, 0.5); + color: var(--text-main); + padding: 4px 8px; + border-radius: 4px; + cursor: pointer; + font-size: 0.85rem; +} + +.thinking-clear-btn:hover, +.thinking-toggle-btn:hover { + background: rgba(255, 102, 0, 0.2); + box-shadow: 0 0 6px rgba(255, 102, 0, 0.3); +} + +.thinking-toggle-btn { + transition: transform 0.3s ease; +} + +.thinking-panel.collapsed .thinking-toggle-btn { + transform: rotate(-90deg); +} + +.thinking-content { + flex: 1; + overflow-y: auto; + padding: 12px; + display: flex; + flex-direction: column; + gap: 8px; + min-height: 0; +} + +.thinking-panel.collapsed .thinking-content { + display: none; +} + +.thinking-empty { + text-align: center; + padding: 40px 20px; + color: var(--text-fade); + font-size: 0.85rem; +} + +.thinking-empty-icon { + font-size: 2rem; + margin-bottom: 10px; +} + +.thinking-event { + padding: 8px 12px; + border-radius: 6px; + font-size: 0.85rem; + font-family: 'Courier New', monospace; + animation: thinkingSlideIn 0.3s ease-out; + border-left: 3px solid; + word-wrap: break-word; +} + +@keyframes thinkingSlideIn { + from { + opacity: 0; + transform: translateY(-10px); + } + to { + opacity: 1; + transform: translateY(0); + } +} + +.thinking-event-connected { + background: rgba(0, 255, 102, 0.1); + border-color: #00ff66; + color: #00ff66; +} + +.thinking-event-thinking { + background: rgba(138, 43, 226, 0.1); + border-color: #8a2be2; + color: #c79cff; +} + +.thinking-event-tool_call { + background: rgba(255, 165, 0, 0.1); + border-color: #ffa500; + color: #ffb84d; +} + +.thinking-event-tool_result { + background: rgba(0, 191, 255, 0.1); + border-color: #00bfff; + color: #7dd3fc; +} + +.thinking-event-done { + background: rgba(168, 85, 247, 0.1); + border-color: #a855f7; + color: #e9d5ff; + font-weight: bold; +} + +.thinking-event-error { + background: rgba(255, 51, 51, 0.1); + border-color: #ff3333; + color: #fca5a5; +} + +.thinking-event-icon { + display: inline-block; + margin-right: 8px; +} + +.thinking-event-details { + font-size: 0.75rem; + color: var(--text-fade); + margin-top: 4px; + padding-left: 20px; + white-space: pre-wrap; + max-height: 100px; + overflow-y: auto; +} + +/* ========== MOBILE RESPONSIVE STYLES ========== */ + +/* Hamburger Menu */ +.hamburger-menu { + display: none; + flex-direction: column; + gap: 4px; + cursor: pointer; + padding: 8px; + border: 1px solid var(--accent); + border-radius: 4px; + background: transparent; + z-index: 100; +} + +.hamburger-menu span { + width: 20px; + height: 2px; + background: var(--accent); + transition: all 0.3s; + display: block; +} + +.hamburger-menu.active span:nth-child(1) { + transform: rotate(45deg) translate(5px, 5px); +} + +.hamburger-menu.active span:nth-child(2) { + opacity: 0; +} + +.hamburger-menu.active span:nth-child(3) { + transform: rotate(-45deg) translate(5px, -5px); +} + +/* Mobile Menu Container */ +.mobile-menu { + display: none; + position: fixed; + top: 0; + left: -100%; + width: 280px; + height: 100vh; + background: var(--bg-dark); + border-right: 2px solid var(--accent); + box-shadow: var(--accent-glow); + z-index: 999; + transition: left 0.3s ease; + overflow-y: auto; + padding: 20px; + flex-direction: column; + gap: 16px; +} + +.mobile-menu.open { + left: 0; +} + +.mobile-menu-overlay { + display: none; + position: fixed; + top: 0; + left: 0; + width: 100%; + height: 100%; + background: rgba(0, 0, 0, 0.7); + z-index: 998; +} + +.mobile-menu-overlay.show { + display: block; +} + +.mobile-menu-section { + display: flex; + flex-direction: column; + gap: 8px; + padding-bottom: 16px; + border-bottom: 1px solid rgba(255, 102, 0, 0.3); +} + +.mobile-menu-section:last-child { + border-bottom: none; +} + +.mobile-menu-section h4 { + margin: 0; + color: var(--accent); + font-size: 0.9rem; + text-transform: uppercase; + letter-spacing: 1px; +} + +.mobile-menu button, +.mobile-menu select { + width: 100%; + padding: 10px; + font-size: 0.95rem; + text-align: left; +} + +/* Mobile Breakpoints */ +@media screen and (max-width: 768px) { + body { + padding: 0; + } + + #chat { + width: 100%; + max-width: 100%; + height: 100vh; + border-radius: 0; + border-left: none; + border-right: none; + } + + /* Show hamburger, hide desktop header controls */ + .hamburger-menu { + display: flex; + } + + #model-select { + padding: 12px; + justify-content: space-between; + } + + /* Hide all controls except hamburger on mobile */ + #model-select > *:not(.hamburger-menu) { + display: none; + } + + #session-select { + display: none; + } + + /* Show mobile menu */ + .mobile-menu { + display: flex; + } + + /* Messages - more width on mobile */ + .msg { + max-width: 90%; + font-size: 0.95rem; + } + + /* Status bar */ + #status { + padding: 10px 12px; + font-size: 0.85rem; + } + + /* Input area - bigger touch targets */ + #input { + padding: 12px; + } + + #userInput { + font-size: 16px; /* Prevents zoom on iOS */ + padding: 12px; + } + + #sendBtn { + padding: 12px 16px; + font-size: 1rem; + } + + /* Modal - full width on mobile */ + .modal-content { + width: 95%; + min-width: unset; + max-width: unset; + max-height: 90vh; + top: 50%; + left: 50%; + transform: translate(-50%, -50%); + } + + .modal-header { + padding: 12px 16px; + } + + .modal-body { + padding: 16px; + } + + .modal-footer { + padding: 12px 16px; + flex-wrap: wrap; + } + + .modal-footer button { + flex: 1; + min-width: 120px; + } + + /* Radio labels - stack better on mobile */ + .radio-label { + padding: 10px; + } + + .radio-label small { + margin-left: 20px; + font-size: 0.75rem; + } + + /* Session list */ + .session-item { + padding: 10px; + } + + .session-info strong { + font-size: 0.9rem; + } + + .session-info small { + font-size: 0.7rem; + } + + /* Settings button in header */ + #settingsBtn { + padding: 8px 12px; + } + + /* Thinking panel adjustments for mobile */ + .thinking-panel { + max-height: 250px; + } + + .thinking-panel.collapsed { + max-height: 38px; + } + + .thinking-header { + padding: 8px 10px; + font-size: 0.85rem; + } + + .thinking-event { + font-size: 0.8rem; + padding: 6px 10px; + } + + .thinking-event-details { + font-size: 0.7rem; + max-height: 80px; + } +} + +/* Extra small devices (phones in portrait) */ +@media screen and (max-width: 480px) { + .mobile-menu { + width: 240px; + } + + .msg { + max-width: 95%; + font-size: 0.9rem; + padding: 8px 12px; + } + + #userInput { + font-size: 16px; + padding: 10px; + } + + #sendBtn { + padding: 10px 14px; + font-size: 0.95rem; + } + + .modal-header h3 { + font-size: 1.1rem; + } + + .settings-section h4 { + font-size: 0.95rem; + } + + .radio-label span { + font-size: 0.9rem; + } +} + +/* Tablet landscape and desktop */ +@media screen and (min-width: 769px) { + /* Ensure mobile menu is hidden on desktop */ + .mobile-menu, + .mobile-menu-overlay { + display: none !important; + } + + .hamburger-menu { + display: none !important; + } +} diff --git a/lyra/web/static/thinking-stream.html b/lyra/web/static/thinking-stream.html new file mode 100644 index 0000000..07c9c3e --- /dev/null +++ b/lyra/web/static/thinking-stream.html @@ -0,0 +1,362 @@ + + + + + + 🧠 Thinking Stream + + + +
+

🧠 Thinking Stream

+
+
+ Connecting... +
+
+ +
+
+
🤔
+

Waiting for thinking events...

+

Events will appear here when Lyra uses tools

+
+
+ + + + + + diff --git a/pyproject.toml b/pyproject.toml index 8976717..f035399 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,12 +5,18 @@ description = "Persistent, autonomous AI assistant" readme = "README.md" requires-python = ">=3.11" dependencies = [ + "fastapi>=0.115", "httpx>=0.28.1", "numpy>=2.4.5", "openai>=2.37.0", "python-dotenv>=1.2.2", + "uvicorn[standard]>=0.34", ] +[project.scripts] +lyra = "lyra.__main__:main" +lyra-web = "lyra.web.server:serve" + [dependency-groups] dev = [ "pytest>=8.0", diff --git a/uv.lock b/uv.lock index 7689134..b83f791 100644 --- a/uv.lock +++ b/uv.lock @@ -2,6 +2,15 @@ version = 1 revision = 3 requires-python = ">=3.11" +[[package]] +name = "annotated-doc" +version = "0.0.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = 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