77 lines
2.8 KiB
Python
77 lines
2.8 KiB
Python
# Copyright 2026 zhaoxi826
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from pydantic_ai import Agent, RunContext
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from pydantic import Field
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from pretor.adapter.model_adapter.agent_factory import AgentFactory
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from pretor.core.global_state_machine.model_provider.base_provider import Provider
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from pretor.utils.agent_model import ResponseModel, InputModel, DepsModel
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from pretor.utils.ray_hook import ray_actor_hook
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from pretor.utils.logger import get_logger
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logger = get_logger('worker_individual')
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class WorkerIndividualResponse(ResponseModel):
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output: str = Field(..., description="Worker执行任务的输出结果")
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class WorkerIndividualDeps(DepsModel):
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task_event: dict
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class WorkerIndividualInput(InputModel):
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task_event: dict
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class BaseIndividual:
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"""
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Worker Individual 的基类
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"""
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def __init__(self, agent_config: dict):
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self.agent_config = agent_config
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self.agent_id = agent_config.get("agent_id")
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self.agent: Agent | None = None
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async def _init_agent(self, agent_name: str, system_prompt: str):
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from pretor.utils.get_tool import load_tools_from_list
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global_state_machine = ray_actor_hook("global_state_machine").global_state_machine
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provider_title = self.agent_config.get("provider_title", "openai") # default fallback
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model_id = self.agent_config.get("model_id", "gpt-4o") # default fallback
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tools_list = self.agent_config.get("tools", None)
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provider: Provider = await global_state_machine.get_provider.remote( provider_title)
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agent_factory = AgentFactory()
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callables = load_tools_from_list(tools_list)
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self.agent = agent_factory.create_agent(
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provider=provider,
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model_id=model_id,
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output_type=WorkerIndividualResponse,
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system_prompt=system_prompt,
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deps_type=WorkerIndividualDeps,
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agent_name=agent_name,
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tools=callables
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)
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@self.agent.system_prompt
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async def dynamic_prompt(ctx: RunContext[WorkerIndividualDeps]):
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prompt = system_prompt + "\n\n"
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prompt += (
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f"=== 当前任务上下文 ===\n"
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f"{ctx.deps.task_event}\n"
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)
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return prompt
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async def run(self, task_event: dict) -> dict:
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raise NotImplementedError("子类必须实现 run 方法")
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