docs: 更新协议文档，删除废弃计划文档
- 更新 http-error-codes, user-points-chat-data-protocol - 更新 divination-run-protocol, profile-protocol - 删除废弃的后端和前端设计计划文档
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qzl
@@ -35,6 +35,7 @@ from schemas.agent.forwarded_props import (
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)
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from schemas.domain.divination import DerivedDivinationData
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from schemas.agent.runtime_models import (
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FollowUpOutput,
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WorkerAgentOutputLite,
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resolve_worker_output_model,
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)
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@@ -102,21 +103,23 @@ class AgentScopeRunner:
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worker_toolkit = self._build_toolkit()
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if cancel_checker is not None and await cancel_checker():
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raise asyncio.CancelledError("run canceled by user")
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derived_divination = self._resolve_derived_divination(
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run_input=run_input
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)
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await self._emit_step_event(
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pipeline=pipeline,
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run_input=run_input,
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step_name="divination",
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event_type="DIVINATION_DERIVED",
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runtime_mode=runtime_mode,
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extra_event={
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"divination": derived_divination.model_dump(
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mode="json", by_alias=True, exclude_none=True
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)
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},
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)
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derived_divination: DerivedDivinationData | None = None
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if runtime_mode == RuntimeMode.CHAT:
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derived_divination = self._resolve_derived_divination(
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run_input=run_input
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)
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await self._emit_step_event(
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pipeline=pipeline,
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run_input=run_input,
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step_name="divination",
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event_type="DIVINATION_DERIVED",
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runtime_mode=runtime_mode,
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extra_event={
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"divination": derived_divination.model_dump(
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mode="json", by_alias=True, exclude_none=True
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)
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},
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)
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worker_output = await self._execute_worker_step(
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pipeline=pipeline,
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run_input=run_input,
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@@ -208,9 +211,11 @@ class AgentScopeRunner:
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stage_config: SystemAgentRuntimeConfig,
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runtime_client_time: ClientTimeContext | None,
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runtime_mode: RuntimeMode,
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derived_divination: DerivedDivinationData,
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) -> WorkerAgentOutputLite:
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worker_output_model = resolve_worker_output_model()
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derived_divination: DerivedDivinationData | None,
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) -> WorkerAgentOutputLite | FollowUpOutput:
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worker_output_model = resolve_worker_output_model(
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runtime_mode=runtime_mode.value
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)
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await self._emit_step_event(
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pipeline=pipeline,
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run_input=run_input,
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@@ -252,11 +257,11 @@ class AgentScopeRunner:
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toolkit: Any,
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run_input: RunAgentInput,
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stage_config: SystemAgentRuntimeConfig,
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worker_output_model: type[WorkerAgentOutputLite],
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worker_output_model: type[WorkerAgentOutputLite | FollowUpOutput],
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pipeline: PipelineLike,
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runtime_client_time: ClientTimeContext | None,
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runtime_mode: RuntimeMode,
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derived_divination: DerivedDivinationData,
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derived_divination: DerivedDivinationData | None,
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) -> StageExecutionResult:
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tracking_model = self._build_model(stage_config=stage_config)
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formatter = OpenAIChatFormatter()
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@@ -292,12 +297,11 @@ class AgentScopeRunner:
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usage_summary=tracking_model.usage_summary(),
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)
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await emitter.emit_final_text_end(
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worker_output={
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**worker_payload.model_dump(mode="json", exclude_none=True),
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"divination_derived": derived_divination.model_dump(
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mode="json", by_alias=True, exclude_none=True
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),
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},
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worker_output=self._build_final_worker_output(
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worker_payload=worker_payload,
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runtime_mode=runtime_mode,
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derived_divination=derived_divination,
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),
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response_metadata=response_metadata,
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)
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return StageExecutionResult(
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@@ -316,15 +320,18 @@ class AgentScopeRunner:
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*,
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context_messages: list[Msg],
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run_input: RunAgentInput,
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derived_divination: DerivedDivinationData,
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derived_divination: DerivedDivinationData | None,
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) -> list[Msg]:
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if context_messages:
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last = context_messages[-1]
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if last.role == "user":
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return context_messages
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_, _ = extract_latest_user_payload(run_input)
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user_text = build_divination_user_prompt(derived=derived_divination)
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_, latest_user_text = extract_latest_user_payload(run_input)
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if derived_divination is None:
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user_text = latest_user_text
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else:
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user_text = build_divination_user_prompt(derived=derived_divination)
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user_blocks = [{"type": "text", "text": user_text}]
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if (
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user_blocks
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@@ -422,12 +429,23 @@ class AgentScopeRunner:
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@staticmethod
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def _resolve_runtime_mode(*, run_input: RunAgentInput) -> RuntimeMode:
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try:
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return parse_forwarded_props_runtime_mode(
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getattr(run_input, "forwarded_props", None)
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return parse_forwarded_props_runtime_mode(
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getattr(run_input, "forwarded_props", None)
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)
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@staticmethod
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def _build_final_worker_output(
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*,
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worker_payload: WorkerAgentOutputLite | FollowUpOutput,
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runtime_mode: RuntimeMode,
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derived_divination: DerivedDivinationData | None,
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) -> dict[str, Any]:
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payload = worker_payload.model_dump(mode="json", exclude_none=True)
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if runtime_mode == RuntimeMode.CHAT and derived_divination is not None:
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payload["divination_derived"] = derived_divination.model_dump(
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mode="json", by_alias=True, exclude_none=True
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)
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except ValueError:
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return RuntimeMode.CHAT
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return payload
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@staticmethod
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def _resolve_provider_api_key(*, factory_name: str) -> str:
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