Adolfo Reyna
332 lines
12 KiB
Python
332 lines
12 KiB
Python
"""A Pipecat processor that puts OpenCode (with ollama-cloud/gemma4:31b) in the LLM slot.
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Supports both:
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1. OpenCode Server Daemon (`opencode serve --port 4096`) for zero-latency, persistent in-memory sessions.
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2. OpenCode CLI (`opencode run --continue`) for direct process invocation.
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"""
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import asyncio
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import json
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import os
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import re
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import shutil
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from pathlib import Path
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import aiohttp
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from loguru import logger
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from pipecat.frames.frames import (
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CancelFrame,
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EndFrame,
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Frame,
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InterruptionFrame,
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LLMContextFrame,
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LLMFullResponseEndFrame,
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LLMFullResponseStartFrame,
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LLMTextFrame,
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StartFrame,
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)
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from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
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_NOISE_TRANSCRIPTS = {
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"",
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".",
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"thank you.",
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"thanks for watching!",
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"you",
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"bye.",
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"okay.",
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"[blank_audio]",
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"[silence]",
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}
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_server_proc: asyncio.subprocess.Process | None = None
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def _clean_spoken_text(text: str) -> str:
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"""Clean text for speech output and truncate fake turn generations."""
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if not text:
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return ""
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# Truncate if model hallucinates fake turn markers
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for marker in ("User:", "Human:", "Assistant:", "\nUser", "\nHuman", "\nAssistant"):
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if marker in text:
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text = text.split(marker)[0]
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# Remove markdown code blocks
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text = re.sub(r"```[\s\S]*?```", "", text)
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# Remove inline code ticks
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text = re.sub(r"`[^`]*`", "", text)
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# Remove markdown syntax characters
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text = re.sub(r"[\#\*\_\~]", "", text)
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# Flatten newlines into clear speech
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lines = [line.strip() for line in text.splitlines() if line.strip()]
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return " ".join(lines).strip()
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def find_opencode_cli() -> str | None:
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return shutil.which("opencode") or (
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"/Users/adolforeyna/.opencode/bin/opencode"
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if os.path.exists("/Users/adolforeyna/.opencode/bin/opencode")
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else None
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)
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async def ensure_opencode_server(port: int = 4096) -> tuple[bool, str]:
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"""Ensure opencode serve daemon is running on port."""
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global _server_proc
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url = f"http://localhost:{port}/session"
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try:
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async with aiohttp.ClientSession(timeout=aiohttp.ClientTimeout(total=2.0)) as session:
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async with session.get(url) as resp:
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if resp.status == 200:
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return True, f"OpenCode server active on http://localhost:{port}"
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except Exception:
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pass
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cli = find_opencode_cli()
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if not cli:
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return False, "OpenCode CLI binary not found"
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logger.info(f"Starting OpenCode server daemon on port {port}...")
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try:
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_server_proc = await asyncio.create_subprocess_exec(
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cli,
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"serve",
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"--port", str(port),
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stdout=asyncio.subprocess.DEVNULL,
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stderr=asyncio.subprocess.DEVNULL,
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)
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await asyncio.sleep(1.2)
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return True, f"Started OpenCode server daemon on http://localhost:{port}"
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except Exception as e:
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return False, f"Failed to start OpenCode server daemon: {e}"
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def probe_opencode(model: str = "ollama-cloud/gemma4:31b") -> tuple[bool, str]:
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cli = find_opencode_cli()
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if not cli:
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return False, "OpenCode CLI binary not found"
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return True, f"OpenCode available ({cli}) with model {model}"
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class OpenCodeLLM(FrameProcessor):
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"""Runs user turns through OpenCode Server Daemon or CLI."""
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def __init__(
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self,
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*,
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model: str = "ollama-cloud/gemma4:31b",
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cwd: str | Path | None = None,
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port: int = 4096,
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system_prompt: str | None = None,
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observer=None,
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use_server: bool = True,
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**kwargs,
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):
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super().__init__(**kwargs)
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self._model = model
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self._cwd = Path(cwd or Path.home() / "Workspace").expanduser().resolve()
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self._port = port
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self._system_prompt = system_prompt or "You are a helpful spoken voice assistant. Keep answers brief and conversational."
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self._on_reply = observer
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self._turn_task: asyncio.Task | None = None
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self._history: list[dict[str, str]] = []
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self._cli_path = find_opencode_cli() or "opencode"
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self._use_server = use_server
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self._server_session_id: str | None = None
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self._has_session = False
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async def process_frame(self, frame: Frame, direction: FrameDirection):
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await super().process_frame(frame, direction)
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if isinstance(frame, StartFrame):
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await self.push_frame(frame, direction)
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if self._use_server:
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ok, reason = await ensure_opencode_server(self._port)
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logger.info(f"OpenCode Server engine: {reason}")
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else:
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logger.info(f"OpenCode CLI engine ready: CLI={self._cli_path}, model={self._model}")
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elif isinstance(frame, (EndFrame, CancelFrame)):
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await self._cancel_turn()
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await self.push_frame(frame, direction)
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elif isinstance(frame, InterruptionFrame):
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await self._cancel_turn()
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await self.push_frame(frame, direction)
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elif isinstance(frame, LLMContextFrame):
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text = self._latest_user_text(frame.context)
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await self._maybe_start_turn(text)
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else:
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await self.push_frame(frame, direction)
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def _latest_user_text(self, context) -> str:
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if not context or not hasattr(context, "messages"):
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return ""
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for msg in reversed(context.messages):
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if isinstance(msg, dict) and msg.get("role") == "user":
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content = msg.get("content", "")
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if isinstance(content, str):
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return content
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elif isinstance(content, list):
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text_parts = [c.get("text", "") for c in content if isinstance(c, dict)]
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return " ".join(text_parts)
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return ""
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async def _maybe_start_turn(self, text: str):
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utterance = text.strip()
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if utterance.lower() in _NOISE_TRANSCRIPTS or len(utterance) < 2:
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logger.debug(f"Ignoring noise transcript: {utterance!r}")
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return
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await self._cancel_turn()
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logger.info(f"You: {utterance}")
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self._turn_task = self.create_task(self._run_turn(utterance))
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async def _cancel_turn(self):
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if not self._turn_task:
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return
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task, self._turn_task = self._turn_task, None
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await self.cancel_task(task)
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async def _run_turn(self, utterance: str):
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self._history.append({"role": "user", "content": utterance})
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recent_history = self._history[-6:]
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conv_text = "\n".join(
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f"{'User' if m['role']=='user' else 'Assistant'}: {m['content']}"
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for m in recent_history
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)
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prompt_str = f"{self._system_prompt}\n\n{conv_text}\nAssistant:"
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await self.push_frame(LLMFullResponseStartFrame())
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chunks: list[str] = []
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if self._use_server:
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await self._run_turn_server(prompt_str, chunks)
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else:
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await self._run_turn_cli(prompt_str, chunks)
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full_reply = _clean_spoken_text(" ".join(chunks))
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if full_reply:
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self._history.append({"role": "assistant", "content": full_reply})
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logger.info(f"OpenCode LLM ({self._model}): {full_reply}")
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if self._on_reply:
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self._on_reply(full_reply)
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async def _run_turn_server(self, prompt_str: str, chunks: list[str]):
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"""Run turn via OpenCode Server Daemon HTTP API."""
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try:
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ok, _ = await ensure_opencode_server(self._port)
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if not ok:
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raise RuntimeError("OpenCode server daemon unavailable")
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async with aiohttp.ClientSession() as session:
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if not self._server_session_id:
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create_url = f"http://localhost:{self._port}/session"
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async with session.post(create_url, json={"directory": str(self._cwd)}) as res:
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if res.status == 200:
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data = await res.json()
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self._server_session_id = data.get("id")
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logger.info(f"OpenCode server session created: {self._server_session_id}")
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if not self._server_session_id:
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raise RuntimeError("Failed to create OpenCode server session")
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msg_url = f"http://localhost:{self._port}/session/{self._server_session_id}/message"
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model_id = self._model.split("/")[-1] if "/" in self._model else self._model
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provider_id = self._model.split("/")[0] if "/" in self._model else "ollama-cloud"
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payload = {
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"model": {"providerID": provider_id, "modelID": model_id},
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"parts": [{"type": "text", "text": prompt_str}],
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}
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async with session.post(msg_url, json=payload) as resp:
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async for line in resp.content:
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line_str = line.decode("utf-8").strip()
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if not line_str:
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continue
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try:
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data = json.loads(line_str)
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if "delta" in data:
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text_chunk = _clean_spoken_text(data["delta"])
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if text_chunk:
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chunks.append(text_chunk)
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await self.push_frame(LLMTextFrame(text_chunk))
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elif "text" in data:
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text_chunk = _clean_spoken_text(data["text"])
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if text_chunk:
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chunks.append(text_chunk)
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await self.push_frame(LLMTextFrame(text_chunk))
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except json.JSONDecodeError:
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pass
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except asyncio.CancelledError:
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logger.info("OpenCode server turn cancelled mid-response.")
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raise
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except Exception as e:
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logger.warning(f"OpenCode server error ({e}), falling back to CLI...")
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await self._run_turn_cli(prompt_str, chunks)
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finally:
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await self.push_frame(LLMFullResponseEndFrame())
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async def _run_turn_cli(self, prompt_str: str, chunks: list[str]):
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"""Fallback turn via OpenCode CLI."""
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cmd = [
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self._cli_path,
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"run",
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"-m", self._model,
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"--dir", str(self._cwd),
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"--auto",
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]
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if self._has_session:
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cmd.append("--continue")
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cmd.append(prompt_str)
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proc = None
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try:
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proc = await asyncio.create_subprocess_exec(
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*cmd,
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE,
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stdin=asyncio.subprocess.DEVNULL,
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cwd=str(self._cwd),
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)
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self._has_session = True
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async def _read_stderr(stream):
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while True:
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line = await stream.readline()
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if not line:
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break
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decoded = line.decode("utf-8").strip()
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if decoded and not decoded.startswith(">"):
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logger.info(f"OpenCode Tool: {decoded}")
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stderr_task = asyncio.create_task(_read_stderr(proc.stderr))
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while True:
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line = await proc.stdout.readline()
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if not line:
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break
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text_line = line.decode("utf-8")
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cleaned = _clean_spoken_text(text_line)
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if cleaned:
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chunks.append(cleaned)
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await self.push_frame(LLMTextFrame(cleaned))
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await proc.wait()
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await stderr_task
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except asyncio.CancelledError:
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logger.info("OpenCode turn cancelled mid-response.")
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if proc and proc.returncode is None:
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try:
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proc.kill()
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except Exception:
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pass
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raise
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except Exception as e:
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logger.error(f"OpenCode LLM CLI error: {e}")
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err_msg = "Sorry, I ran into an error generating a response."
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chunks.append(err_msg)
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await self.push_frame(LLMTextFrame(err_msg))
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