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atomic_chat_provider.py
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"""
atomic_chat_provider.py
-----------------------
Adds native Atomic Chat support to openclaude.
Lets Claude Code route requests to any locally-running model via
Atomic Chat (Apple Silicon only) at 127.0.0.1:1337.
Atomic Chat exposes an OpenAI-compatible API, so messages are forwarded
directly without translation.
Usage (.env):
PREFERRED_PROVIDER=atomic-chat
ATOMIC_CHAT_BASE_URL=http://127.0.0.1:1337
"""
import httpx
import json
import logging
import os
from typing import AsyncIterator
logger = logging.getLogger(__name__)
ATOMIC_CHAT_BASE_URL = os.getenv("ATOMIC_CHAT_BASE_URL", "http://127.0.0.1:1337")
def _api_url(path: str) -> str:
return f"{ATOMIC_CHAT_BASE_URL}/v1{path}"
async def check_atomic_chat_running() -> bool:
try:
async with httpx.AsyncClient(timeout=3.0) as client:
resp = await client.get(_api_url("/models"))
return resp.status_code == 200
except Exception:
return False
async def list_atomic_chat_models() -> list[str]:
try:
async with httpx.AsyncClient(timeout=5.0) as client:
resp = await client.get(_api_url("/models"))
resp.raise_for_status()
data = resp.json()
return [m["id"] for m in data.get("data", [])]
except Exception as e:
logger.warning(f"Could not list Atomic Chat models: {e}")
return []
async def atomic_chat(
model: str,
messages: list[dict],
system: str | None = None,
max_tokens: int = 4096,
temperature: float = 1.0,
) -> dict:
chat_messages = list(messages)
if system:
chat_messages.insert(0, {"role": "system", "content": system})
payload = {
"model": model,
"messages": chat_messages,
"max_tokens": max_tokens,
"temperature": temperature,
"stream": False,
}
async with httpx.AsyncClient(timeout=120.0) as client:
resp = await client.post(_api_url("/chat/completions"), json=payload)
resp.raise_for_status()
data = resp.json()
choice = data.get("choices", [{}])[0]
assistant_text = choice.get("message", {}).get("content", "")
usage = data.get("usage", {})
return {
"id": data.get("id", "msg_atomic_chat"),
"type": "message",
"role": "assistant",
"content": [{"type": "text", "text": assistant_text}],
"model": model,
"stop_reason": "end_turn",
"stop_sequence": None,
"usage": {
"input_tokens": usage.get("prompt_tokens", 0),
"output_tokens": usage.get("completion_tokens", 0),
},
}
async def atomic_chat_stream(
model: str,
messages: list[dict],
system: str | None = None,
max_tokens: int = 4096,
temperature: float = 1.0,
) -> AsyncIterator[str]:
chat_messages = list(messages)
if system:
chat_messages.insert(0, {"role": "system", "content": system})
payload = {
"model": model,
"messages": chat_messages,
"max_tokens": max_tokens,
"temperature": temperature,
"stream": True,
}
yield "event: message_start\n"
yield f'data: {json.dumps({"type": "message_start", "message": {"id": "msg_atomic_chat_stream", "type": "message", "role": "assistant", "content": [], "model": model, "stop_reason": None, "usage": {"input_tokens": 0, "output_tokens": 0}}})}\n\n'
yield "event: content_block_start\n"
yield f'data: {json.dumps({"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}})}\n\n'
async with httpx.AsyncClient(timeout=120.0) as client:
async with client.stream("POST", _api_url("/chat/completions"), json=payload) as resp:
resp.raise_for_status()
async for line in resp.aiter_lines():
if not line or not line.startswith("data: "):
continue
raw = line[len("data: "):]
if raw.strip() == "[DONE]":
break
try:
chunk = json.loads(raw)
delta = chunk.get("choices", [{}])[0].get("delta", {})
delta_text = delta.get("content", "")
if delta_text:
yield "event: content_block_delta\n"
yield f'data: {json.dumps({"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": delta_text}})}\n\n'
finish_reason = chunk.get("choices", [{}])[0].get("finish_reason")
if finish_reason:
usage = chunk.get("usage", {})
yield "event: content_block_stop\n"
yield f'data: {json.dumps({"type": "content_block_stop", "index": 0})}\n\n'
yield "event: message_delta\n"
yield f'data: {json.dumps({"type": "message_delta", "delta": {"stop_reason": "end_turn", "stop_sequence": None}, "usage": {"output_tokens": usage.get("completion_tokens", 0)}})}\n\n'
yield "event: message_stop\n"
yield f'data: {json.dumps({"type": "message_stop"})}\n\n'
break
except json.JSONDecodeError:
continue