rein-aharness/agent_harness/llm_connect_client.py
tegwick 7520a53831 feat: mail-triage via llm-connect (no host Claude)
Add LLMConnectClient and mail-triage: CSV metadata → OpenRouter-backed
llm-connect JSON plan → deterministic mail-log apply + commit. Server path
for Binky mail intake on Railiance (BINKY-WP-0006).
2026-07-22 00:05:23 +02:00

103 lines
3 KiB
Python

"""HTTP client for in-cluster / remote llm-connect (server mode).
Mirrors activity-core's llm_client pattern: provider keys and model routing
stay behind llm-connect; agent-harness only sends prompts over HTTP.
"""
from __future__ import annotations
import os
from typing import Any
import httpx
_SAFE_RESPONSE_METADATA_KEYS = frozenset(
{
"finish_reason",
"usage",
"model",
"model_name",
"provider",
"request_id",
"response_id",
"trace_id",
"latency_ms",
"duration_ms",
"elapsed_ms",
"created",
"created_at",
}
)
class LLMConnectError(RuntimeError):
pass
class LLMConnectClient:
"""Synchronous client for llm-connect ``POST /execute``."""
def __init__(self, base_url: str, timeout_seconds: float = 300.0) -> None:
self.base_url = base_url.rstrip("/")
self.timeout_seconds = timeout_seconds
self.last_response_metadata: dict[str, Any] | None = None
def complete(
self,
prompt: str,
*,
model: str = "",
config: dict[str, Any] | None = None,
) -> str:
run_config = dict(config or {})
if model and "model_name" not in run_config:
run_config["model_name"] = model
run_config.setdefault("timeout_seconds", int(self.timeout_seconds))
payload: dict[str, Any] = {"prompt": prompt, "config": run_config}
try:
resp = httpx.post(
f"{self.base_url}/execute",
json=payload,
timeout=self.timeout_seconds,
)
resp.raise_for_status()
except httpx.HTTPError as exc:
raise LLMConnectError(f"llm-connect request failed: {exc}") from exc
try:
data = resp.json()
except ValueError as exc:
raise LLMConnectError("llm-connect returned non-JSON body") from exc
self.last_response_metadata = _extract_response_metadata(data)
content = data.get("content")
if not isinstance(content, str) or not content.strip():
raise LLMConnectError("llm-connect response missing string content")
return content
def get_llm_connect_client() -> LLMConnectClient:
base_url = os.environ.get("LLM_CONNECT_URL", "").strip()
if not base_url:
raise LLMConnectError(
"LLM_CONNECT_URL is not set "
"(e.g. http://llm-connect.activity-core.svc.cluster.local:8080)"
)
timeout = float(os.environ.get("LLM_CONNECT_TIMEOUT_SECONDS", "300"))
return LLMConnectClient(base_url, timeout)
def _extract_response_metadata(data: dict[str, Any]) -> dict[str, Any]:
out: dict[str, Any] = {}
for key, value in data.items():
if key in _SAFE_RESPONSE_METADATA_KEYS and _json_safe(value):
out[key] = value
return out
def _json_safe(value: Any) -> bool:
try:
import json
json.dumps(value)
except (TypeError, ValueError):
return False
return True