This commit is contained in:
liubiren 2026-08-19 19:51:59 +08:00
parent 988a8dc557
commit d72cdf815d
4 changed files with 171 additions and 306 deletions

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@ -29,6 +29,7 @@ from application.states.models import (
MessageType,
Work,
WorkType,
TaskStatus,
ConversationHistoryItem,
usage_validate_python,
MessageHistoryItem,
@ -303,12 +304,10 @@ class ConversationState(rx.State):
# 初始化片段索引映射为消息实例唯一标识字典
index_map_to_message_id: dict[int, str] = {}
# 初始化工具调用唯一标识集合
tool_call_ids: set[str] = set()
# 非结构化对话
# 对话
if not conversation.work:
from application.workshop.unstructured_dialogue import (
from application.workshop.talk import (
run_stream_events,
)
else:
@ -318,7 +317,6 @@ class ConversationState(rx.State):
case WorkType.BOOK_FLIGHT:
from application.workshop.book_flight import run_stream_events
# 消息列表
messages: list[Message] = []
# 运行并流式输出事件
@ -329,7 +327,6 @@ class ConversationState(rx.State):
),
usage=usage_validate_python(dict(conversation.usage)),
)
try:
# 获取运行流式输出事件
async for event in stream_events:
# 将等待流式输出设置为否
@ -428,9 +425,6 @@ class ConversationState(rx.State):
new_messages=result.new_messages(),
)
except Exception as e:
...
finally:
# 将正在运行设置为否
conversation.is_running = False
# 将等待流式输出设置为否

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@ -19,6 +19,7 @@ class TaskStatus(StrEnum):
RUNNING = "running"
DONE = "done"
PENDING_APPROVAL = "pending_approval"
ERROR = "error"
@ -57,7 +58,7 @@ class Message(BaseModel):
content: str = Field(default="", description="消息内容")
tasks: list[Task] = Field(default_factory=list, description="任务列表")
is_running: bool = Field(
default=False, description="正在运行True 表示正在运行,False 表示运行完成"
default=False, description="正在运行True 表示正在运行, False 表示运行结束"
)
is_shown: bool = Field(
default=False, description="展示组件True 表示展示False 表示隐藏"

View File

@ -21,7 +21,7 @@ from pydantic_ai import (
)
from pydantic_ai.models.openai import OpenAIChatModel
from pydantic_ai.providers.openai import OpenAIProvider
from pydantic_ai.run import AgentRunResultEvent
from pydantic_ai.run import AgentRunResultEvent, AgentRunResult
from enum import StrEnum
from pydantic_ai._uuid import uuid7
from pydantic_ai.messages import (
@ -49,6 +49,7 @@ class TaskStatus(StrEnum):
RUNNING = "running"
DONE = "done"
ERROR = "error"
PENDING_APPROVAL = "pending_approval"
class Task(BaseModel):
@ -145,11 +146,11 @@ class Deps(BaseModel):
date: datetime.date = Field(..., description="日期")
origin_airport_code: str = Field(..., description="出发机场代码")
destination_airport_code: str = Field(..., description="到达机场代码")
matched_flights: list[Flight] | None = Field(
default=None, description="匹配到的航班"
searched_flights: list[Flight] | None = Field(
default=None, description="查询到的航班"
)
selected_flight: Flight | NoSelectedFlight | None = Field(
default=None, description="选择到的航班"
recommended_flight: Flight | NoSelectedFlight | None = Field(
default=None, description="推荐航班"
)
@ -228,9 +229,9 @@ source_material = """
@agent.tool
async def match_flights(ctx: RunContext[Deps]) -> list[Flight]:
async def search_flights(ctx: RunContext[Deps]) -> list[Flight]:
"""
匹配满足用户需求的航班
查询航班
**如何提高提取准确率**
1. 系统提示词规则约束
2. 降低模型温度
@ -238,7 +239,7 @@ async def match_flights(ctx: RunContext[Deps]) -> list[Flight]:
4. 业务规则约束例如输出不可为空列表
**设计工具需先设计业务流程**
本示例按照 匹配满足用户需求的航班 -> 选择航班 -> 预定航班
本示例按照 查询航班 -> 推荐航班 -> 预定航班
"""
extraction_agent_result = await extraction_agent.run(
f"来源资料:\n{source_material}",
@ -254,35 +255,35 @@ async def match_flights(ctx: RunContext[Deps]) -> list[Flight]:
raise ModelRetry(
f"提取到的所有航班信息数量应为 8 ,不是 {extracted_flight_counts}"
)
# 匹配用户需求的航班
ctx.deps.matched_flights = [
# 查询到的航班
ctx.deps.searched_flights = [
flight
for flight in extracted_flights
if flight.date == ctx.deps.date
and flight.origin_airport_code == ctx.deps.origin_airport_code
and flight.destination_airport_code == ctx.deps.destination_airport_code
]
return ctx.deps.matched_flights
return ctx.deps.searched_flights
@agent.tool
async def select_flight(ctx: RunContext[Deps]) -> Flight | NoSelectedFlight:
async def recommend_flight(ctx: RunContext[Deps]) -> Flight | NoSelectedFlight:
"""
选择航班
推荐航班
**如何提高提取准确率**
1. 系统提示词规则约束
2. 降低模型温度
3. 输出类型约定和输出模型校验
4. 业务规则约束例如输出不可为空列表
"""
if (matched_flights := ctx.deps.matched_flights) is None:
raise ModelRetry("必须先使用 match_flights 匹配满足用户需求的航班")
ctx.deps.selected_flight = (
min(matched_flights, key=lambda flight: flight.airfare)
if matched_flights
if (searched_flights := ctx.deps.searched_flights) is None:
raise ModelRetry("必须先使用 search_flights 查询航班")
ctx.deps.recommended_flight = (
min(searched_flights, key=lambda flight: flight.airfare)
if searched_flights
else NoSelectedFlight()
)
return ctx.deps.selected_flight
return ctx.deps.recommended_flight
@agent.tool
@ -290,19 +291,15 @@ async def book_flight(ctx: RunContext[Deps]) -> Flight | NoSelectedFlight:
"""
预定航班
"""
if (selected_flight := ctx.deps.selected_flight) is None:
raise ModelRetry("必须先使用 select_flight 选择航班")
if (recommended_flight := ctx.deps.recommended_flight) is None:
raise ModelRetry("必须先使用 recommend_flight 推荐航班")
if isinstance(selected_flight, NoSelectedFlight):
return selected_flight
if isinstance(recommended_flight, NoSelectedFlight):
return recommended_flight
else:
if not ctx.tool_call_approved:
raise ApprovalRequired(
metadata={
"reason": f"需要用户确认是否预定 {selected_flight.number}{selected_flight.date.strftime('%Y-%m-%d')}{selected_flight.origin_airport_code}{selected_flight.destination_airport_code} 的航班"
}
)
return selected_flight
raise ApprovalRequired()
return recommended_flight
@agent.output_validator
@ -339,10 +336,10 @@ async def run_stream_events(
usage: RunUsage,
deferred_tool_results: DeferredToolResults | None = None,
) -> AsyncGenerator:
# 构建工作输出消息
# 构建消息
message = Message(
type=MessageType.WORK_OUTPUT,
title="正在预定航班",
title="预定航班",
is_running=True,
)
yield message
@ -354,6 +351,7 @@ async def run_stream_events(
deferred_tool_results=deferred_tool_results,
) as events:
async for event in events:
print(event)
match event:
case PartStartEvent(
part=part,
@ -363,7 +361,7 @@ async def run_stream_events(
tool_name=tool_name, tool_call_id=tool_call_id
):
match tool_name:
case "match_flights":
case "search_flights":
if tool_name not in message.tasks:
message.tasks[tool_name] = Task(
tool_name=tool_name,
@ -372,15 +370,23 @@ async def run_stream_events(
)
yield message
case "select_flight":
case "recommend_flight":
if tool_name not in message.tasks:
message.tasks[tool_name] = Task(
tool_name=tool_name,
tool_call_id=tool_call_id,
title="正在选择航班",
title="正在推荐航班",
)
yield message
case "book_flight":
if tool_name not in message.tasks:
message.tasks[tool_name] = Task(
tool_name=tool_name,
tool_call_id=tool_call_id,
title="正在预定航班",
)
yield message
case FunctionToolResultEvent(part):
match part:
@ -390,27 +396,52 @@ async def run_stream_events(
content=content,
):
match tool_name:
case "match_flights":
matched_flights = cast(list[Flight], content)
case "search_flights":
task = message.tasks[tool_name]
task.title = f"已查询到 {len(matched_flights)} 班航班"
searched_flights = cast(list[Flight], content)
task.title = (
f"已查询到 {len(searched_flights)} 班航班"
)
task.content = "\n".join(
[
f"{matched_flight.number} - {matched_flight.date.strftime('%Y-%m-%d')} - {matched_flight.origin_airport_code} ~ {matched_flight.destination_airport_code} ${matched_flight.airfare}"
for matched_flight in matched_flights
f"{searched_flight.number} - {searched_flight.date.strftime('%Y-%m-%d')} {searched_flight.origin_airport_code} 飞往 {searched_flight.destination_airport_code} - {searched_flight.airfare}"
for searched_flight in searched_flights
]
)
task.status = TaskStatus.DONE
yield message
case "select_flight":
selected_flight = cast(Flight, content)
case "recommend_flight":
task = message.tasks[tool_name]
task.title = f"已选择航班"
task.content = f"{selected_flight.number} - {selected_flight.date.strftime('%Y-%m-%d')} - {selected_flight.origin_airport_code} ~ {selected_flight.destination_airport_code} ${selected_flight.airfare}"
recommended_flight = cast(
Flight | NoSelectedFlight, content
)
if isinstance(recommended_flight, Flight):
task.title = "为您推荐"
task.content = f"{recommended_flight.number} - {recommended_flight.date.strftime('%Y-%m-%d')}{recommended_flight.origin_airport_code} 飞往 {recommended_flight.destination_airport_code} - {recommended_flight.airfare}"
else:
task.title = "为您推荐"
task.status = TaskStatus.DONE
yield message
case AgentRunResultEvent(
result=result,
):
match result:
case AgentRunResult(output=output):
match output:
case DeferredToolRequests(approvals=approvals):
for approval in approvals:
match approval:
case ToolCallPart(tool_name=tool_name):
task = message.tasks[tool_name]
task.content = "请确认是否预定 "
task.status = (
TaskStatus.PENDING_APPROVAL
)
yield message
async def main():
# 实例化依赖
@ -418,7 +449,6 @@ async def main():
date=datetime.date(2025, 1, 10),
origin_airport_code="SFO",
destination_airport_code="ANC",
selected_flight=None,
)
user_prompt = f"帮我查询并预定在 {deps.date.strftime('%Y-%m-%d')}{deps.origin_airport_code}{deps.destination_airport_code} 的航班"
message_history: list[ModelMessage] = []
@ -430,172 +460,12 @@ async def main():
)
# 消费异步生成器
async for event in events:
print(event)
print()
if isinstance(event, AgentRunResultEvent):
# 保存本次运行新增消息
message_history.extend(event.result.new_messages())
if isinstance(event, Message):
print(event)
asyncio.run(main())
"""
@selection_agent.tool
async def select_flight(ctx: RunContext[Deps]) -> Flight | FlightNoFound:
result = await selection_agent.run(ctx.deps.source_material, usage=ctx.usage)
if isinstance(result.output, Flight):
if not ctx.tool_call_approved:
raise ApprovalRequired(metadata={"reason": "protected"})
return result.output
if not isinstance(event, AgentRunResultEvent):
yield event
else:
result = event.result
# 更新任务使用量
task.usage = usage_to_dict(result.usage)
if isinstance(result.output, FlightDetail):
content = "\n---\n已查询到航班,请回复 buy 购票 或 search 重新查询\n"
# 更新任务节点为提取座位偏好
task.node = "seat_preference_extraction"
else:
content = (
"\n---\n未查询到满足您需求的航班,流程结束!\n"
)
# 更新任务为空
task = None
# 返回任务节点结果事件
yield TaskNodeResultEvent(
task=task,
content=content,
)
yield event
return
# 提取座位偏好
case "seat_preference_extraction":
if user_prompt == "buy":
# 返回任务节点结果事件
yield TaskNodeResultEvent(
task=task,
content="请和我说下您的座位偏好:\nA、F 座位是靠窗位1 排、14 排、20 排腿部空间更大、更舒展,你更想要靠窗座位,宽敞大空间座位",
)
return
elif user_prompt == "search":
# 更新任务节点为航班查询
task.node = "flight_search"
else:
async with seat_preference_extraction_agent.run_stream_events(
user_prompt=user_prompt,
message_history=message_history,
usage=usage_to_object(dict(task.usage)),
usage_limits=usage_limits_to_object(dict(task.usage_limits)),
) as events:
async for event in events:
if not isinstance(event, AgentRunResultEvent):
yield event
else:
result = event.result
# 更新任务使用量
task.usage = usage_to_dict(result.usage)
# 更新任务为空
task = None
# 返回任务节点结果事件
yield TaskNodeResultEvent(
task=task,
content="已帮您定好座位,流程结束!",
)
yield event
return
# 工具调用分片开始事件
case ToolCallPart(
tool_name=tool_name, tool_call_id=tool_call_id
):
# 构建消息实例
message = Message(
type=MessageType.TOOL_CALL,
title=tool_name,
content=",",
is_running=True,
)
tool_call_ids.add(tool_call_id)
# 添加至消息字典
dialog.thoughts[index] = Thought(
type="tool_call",
content="正在生成调用参数",
)
# ========== 函数工具调用事件 ==========
case FunctionToolCallEvent(tool_call_id=tool_call_id, part=part):
# 获取分片索引
index = tool_call_ids[tool_call_id]
match dialog.thoughts[index].type:
# 工具检索
case "tool_search":
dialog.thoughts[index].content = (
f"正在检索 {part.args_as_json_str()}"
)
# 能力加载
case "capability_load":
dialog.thoughts[index].content = (
f"正在加载能力 {part.tool_name}"
)
# 工具调用
case "tool_call":
dialog.thoughts[index].content = (
f"正在调用工具 {part.tool_name}"
)
case _:
continue
# ========== 函数工具结果事件 ==========
case FunctionToolResultEvent(
tool_call_id=tool_call_id,
content=content,
):
index = tool_call_ids[tool_call_id]
match dialog.thoughts[index].type:
# 工具检索
case "tool_search":
dialog.thoughts[index].content = (
content if isinstance(content, str) else ""
) # 暂仅考虑文本内容
# 能力加载
case "capability_load":
dialog.thoughts[index].content = f"已加载 {content}"
# 工具调用
case "tool_call":
dialog.thoughts[index].content = f"已调用 {content}"
case _:
continue
def init_work_flow() -> WorkFlow:
return WorkFlow(
type=WorkFlowType.BOOK_FLIGHT,
deps=Dependences(
source_material=source_material,
date=datetime.date(2025, 1, 10),
origin="SFO",
destination="ANC",
),
)
from application.states.models import (
WorkFlow,
WorkFlowType,
)
from application.workshop.models import (
DEEPSEEK_V4_FLASH_MODEL,
MODEL_SETTINGS_DISABLED_THINKING,
)
"""

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@ -1,6 +1,6 @@
# -*- coding: utf-8 -*-
"""
非结构化对话
对话
"""
from typing import AsyncGenerator