fix: build_agent() + inference BroJS, без api_key=fake

This commit is contained in:
2026-05-27 08:13:15 +00:00
parent e27e8f8e4e
commit e839c22743
+145 -66
View File
@@ -2,6 +2,7 @@
from __future__ import annotations
import os
from typing import Any
from dotenv import load_dotenv
from langchain.agents import create_agent
@@ -13,13 +14,38 @@ from langgraph.types import Command
load_dotenv()
# LLM: OpenRouter из .env или локальный LM Studio
llm = ChatOpenAI(
model=os.getenv("OPENAI_MODEL", "openai/gpt-oss-20b:free"),
base_url=os.getenv("OPENAI_BASE_URL", "https://openrouter.ai/api/v1"),
api_key=os.getenv("OPENAI_API_KEY", "fake"),
temperature=0.0,
)
BROJS_INFERENCE_URL = "https://platform.brojs.ru/jrnl-bh/api/inference/v1"
DEFAULT_MODEL = "openai/gpt-oss-20b:free"
def _api_key() -> str:
return (
os.getenv("OPENAI_API_KEY")
or os.getenv("JOURNAL_MCP_PAT")
or os.getenv("JOURNAL_TOKEN")
or ""
)
def _base_url() -> str:
if os.getenv("OPENAI_BASE_URL"):
return os.environ["OPENAI_BASE_URL"]
if os.getenv("OPENAI_API_KEY"):
return os.getenv("OPENROUTER_BASE_URL", "https://openrouter.ai/api/v1")
return BROJS_INFERENCE_URL
def _model() -> str:
return os.getenv("OPENAI_MODEL") or os.getenv("OPENROUTER_MODEL") or DEFAULT_MODEL
def build_llm() -> ChatOpenAI:
return ChatOpenAI(
model=_model(),
base_url=_base_url(),
api_key=_api_key(),
temperature=0.0,
)
@tool
@@ -28,91 +54,144 @@ def get_weather(city: str, date: str = "сегодня") -> str:
return f"В {city} на {date}: около +5°C, облачно, без осадков."
memory = MemorySaver()
agent = create_agent(
model=llm,
tools=[get_weather],
system_prompt="Ты полезный ассистент",
middleware=[
HumanInTheLoopMiddleware(
interrupt_on={
"get_weather": {"allowed_decisions": ["approve", "reject"]},
},
description_prefix="Подтвердите вызов инструмента",
def build_agent():
"""Агент с HITL-middleware — точка входа для автопроверки."""
memory = MemorySaver()
return create_agent(
model=build_llm(),
tools=[get_weather],
system_prompt=(
"Ты полезный ассистент. Для вопросов о погоде вызывай get_weather."
),
],
checkpointer=memory,
)
middleware=[
HumanInTheLoopMiddleware(
interrupt_on={
"get_weather": {"allowed_decisions": ["approve", "reject"]},
},
description_prefix="Подтвердите вызов инструмента",
),
],
checkpointer=memory,
)
def _print_action_requests(action_requests: list[dict]) -> None:
print("\n--- Подтверждение ---")
for idx, action in enumerate(action_requests, start=1):
print(f"[{idx}] Инструмент: {action.get('name')}")
print(f" Аргументы: {action.get('args')}")
description = action.get("description")
if description:
print(f" Описание: {description}")
def _has_interrupt(result: Any) -> bool:
if isinstance(result, dict):
return bool(result.get("__interrupt__"))
return bool(getattr(result, "interrupts", None))
def _ask_decision() -> dict:
while True:
choice = input("a = approve, r = reject: ").strip().lower()
if choice in ("a", "approve"):
return {"type": "approve"}
if choice in ("r", "reject"):
message = input("Сообщение для агента (причина отказа): ").strip()
return {"type": "reject", "message": message or "Отклонено пользователем"}
print("Введите 'a' или 'r'.")
def _interrupt_payload(result: Any) -> dict[str, Any]:
if isinstance(result, dict) and result.get("__interrupt__"):
item = result["__interrupt__"][0]
value = item.value if hasattr(item, "value") else item
return dict(value)
interrupts = getattr(result, "interrupts", None)
if interrupts:
item = interrupts[0]
value = item.value if hasattr(item, "value") else item
return dict(value)
return {}
def _collect_decisions(action_requests: list[dict]) -> list[dict]:
_print_action_requests(action_requests)
return [_ask_decision() for _ in action_requests]
def _action_args(action: dict[str, Any]) -> dict[str, Any]:
return action.get("args") or action.get("arguments") or {}
def _extract_interrupt(result: dict) -> tuple[list[dict], list[dict]] | None:
if "__interrupt__" not in result:
return None
interrupt_value = result["__interrupt__"][0].value
return interrupt_value.get("action_requests", []), interrupt_value.get("review_configs", [])
def _prompt_decisions(
action_requests: list[dict[str, Any]],
review_configs: list[dict[str, Any]],
) -> list[dict[str, Any]]:
allowed_by_tool = {
cfg.get("action_name", ""): cfg.get("allowed_decisions", ["approve", "reject"])
for cfg in review_configs
}
decisions: list[dict[str, Any]] = []
for action in action_requests:
name = action.get("name", "")
args = _action_args(action)
allowed = allowed_by_tool.get(name, ["approve", "reject"])
print("\n--- Подтверждение ---")
print(f"Инструмент: {name}")
print(f"Аргументы: {args}")
if action.get("description"):
print(f"Описание: {action['description']}")
while True:
choice = input("a = approve, r = reject: ").strip().lower()
if choice in ("a", "approve") and "approve" in allowed:
decisions.append({"type": "approve"})
break
if choice in ("r", "reject") and "reject" in allowed:
message = input("Сообщение для агента (причина отказа): ").strip()
decision: dict[str, Any] = {"type": "reject"}
if message:
decision["message"] = message
decisions.append(decision)
break
print("Неверный ввод. Допустимо: a (approve) или r (reject).")
return decisions
def run_with_hitl(user_message: str, thread_id: str = "hitl-middleware-session-1") -> str:
def run_with_hitl(
agent,
user_text: str,
config: dict[str, Any],
*,
auto_approve: bool = False,
) -> str:
"""Запуск агента с циклом подтверждения инструментов."""
config = {"configurable": {"thread_id": thread_id}}
result = agent.invoke(
{"messages": [{"role": "human", "content": user_message}]},
{"messages": [{"role": "human", "content": user_text}]},
config=config,
)
while True:
interrupted = _extract_interrupt(result)
if not interrupted:
break
action_requests, _review_configs = interrupted
decisions = _collect_decisions(action_requests)
result = agent.invoke(Command(resume={"decisions": decisions}), config=config)
while _has_interrupt(result):
payload = _interrupt_payload(result)
action_requests = payload.get("action_requests", [])
review_configs = payload.get("review_configs", [])
messages = result.get("messages", [])
if auto_approve:
decisions = [{"type": "approve"} for _ in action_requests]
else:
decisions = _prompt_decisions(action_requests, review_configs)
result = agent.invoke(
Command(resume={"decisions": decisions}),
config=config,
)
messages = result.get("messages", []) if isinstance(result, dict) else []
if not messages:
return ""
return str(messages[-1].content)
return "(агент завершил без текстового ответа)"
last = messages[-1]
content = getattr(last, "content", None)
if isinstance(content, str):
return content
if isinstance(content, list):
parts = [p.get("text", "") for p in content if isinstance(p, dict)]
return "".join(parts) or str(content)
return str(content)
def main() -> None:
agent = build_agent()
config = {"configurable": {"thread_id": "hitl-middleware-session-1"}}
print("Human-in-the-Loop (middleware). Введите 'exit' для выхода.\n")
config_thread = "hitl-middleware-session-1"
while True:
user_input = input("Вы: ").strip()
if user_input.lower() in ("exit", "quit", "q"):
break
if not user_input:
user_text = input("Вы: ").strip()
if not user_text:
continue
if user_text.lower() in {"exit", "quit", "q", "выход"}:
break
answer = run_with_hitl(user_input, thread_id=config_thread)
answer = run_with_hitl(agent, user_text, config)
print(f"\nАгент: {answer}\n")