mirror of
https://github.com/langbot-app/LangBot.git
synced 2026-06-28 00:14:21 +00:00
feat: preliminarily implement pipeline invoking
This commit is contained in:
@@ -8,7 +8,7 @@ import re
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import dashscope
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from .. import runner
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from ...core import entities as core_entities
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from ...core import app, entities as core_entities
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from .. import entities as llm_entities
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from ...utils import image
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@@ -29,12 +29,14 @@ class DashScopeAPIRunner(runner.RequestRunner):
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app_id: str # 应用ID
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api_key: str # API Key
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references_quote: str # 引用资料提示(当展示回答来源功能开启时,这个变量会作为引用资料名前的提示,可在provider.json中配置)
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biz_params: dict = {} # 工作流应用参数(仅在工作流应用中生效)
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async def initialize(self):
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def __init__(self, ap: app.Application, pipeline_config: dict):
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"""初始化"""
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self.ap = ap
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self.pipeline_config = pipeline_config
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valid_app_types = ["agent", "workflow"]
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self.app_type = self.ap.provider_cfg.data["dashscope-app-api"]["app-type"]
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self.app_type = self.pipeline_config["ai"]["dashscope-app-api"]["app-type"]
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#检查配置文件中使用的应用类型是否支持
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if (self.app_type not in valid_app_types):
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raise DashscopeAPIError(
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@@ -42,10 +44,9 @@ class DashScopeAPIRunner(runner.RequestRunner):
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)
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#初始化Dashscope 参数配置
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self.app_id = self.ap.provider_cfg.data["dashscope-app-api"][self.app_type]["app-id"]
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self.api_key = self.ap.provider_cfg.data["dashscope-app-api"]["api-key"]
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self.references_quote = self.ap.provider_cfg.data["dashscope-app-api"][self.app_type]["references_quote"]
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self.biz_params = self.ap.provider_cfg.data["dashscope-app-api"]["workflow"]["biz_params"]
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self.app_id = self.pipeline_config["ai"]["dashscope-app-api"]["app-id"]
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self.api_key = self.pipeline_config["ai"]["dashscope-app-api"]["api-key"]
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self.references_quote = self.pipeline_config["ai"]["dashscope-app-api"]["references_quote"]
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def _replace_references(self, text, references_dict):
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"""阿里云百炼平台的自定义应用支持资料引用,此函数可以将引用标签替换为参考资料"""
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@@ -169,7 +170,6 @@ class DashScopeAPIRunner(runner.RequestRunner):
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plain_text, image_ids = await self._preprocess_user_message(query)
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biz_params = {}
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biz_params.update(self.biz_params)
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biz_params.update(query.variables)
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#发送对话请求
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@@ -220,21 +220,19 @@ class DashScopeAPIRunner(runner.RequestRunner):
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content=pending_content,
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)
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async def run(
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self, query: core_entities.Query
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) -> typing.AsyncGenerator[llm_entities.Message, None]:
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"""运行"""
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if self.ap.provider_cfg.data["dashscope-app-api"]["app-type"] == "agent":
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if self.app_type == "agent":
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async for msg in self._agent_messages(query):
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yield msg
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elif self.ap.provider_cfg.data["dashscope-app-api"]["app-type"] == "workflow":
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elif self.app_type == "workflow":
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async for msg in self._workflow_messages(query):
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yield msg
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else:
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raise DashscopeAPIError(
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f"不支持的 Dashscope 应用类型: {self.ap.provider_cfg.data['dashscope-app-api']['app-type']}"
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f"不支持的 Dashscope 应用类型: {self.app_type}"
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)
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@@ -10,7 +10,7 @@ import datetime
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import aiohttp
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from .. import runner
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from ...core import entities as core_entities
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from ...core import app, entities as core_entities
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from .. import entities as llm_entities
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from ...utils import image
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@@ -23,24 +23,24 @@ class DifyServiceAPIRunner(runner.RequestRunner):
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dify_client: client.AsyncDifyServiceClient
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async def initialize(self):
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"""初始化"""
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def __init__(self, ap: app.Application, pipeline_config: dict):
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self.ap = ap
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self.pipeline_config = pipeline_config
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valid_app_types = ["chat", "agent", "workflow"]
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if (
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self.ap.provider_cfg.data["dify-service-api"]["app-type"]
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self.pipeline_config["ai"]["dify-service-api"]["app-type"]
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not in valid_app_types
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):
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raise errors.DifyAPIError(
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f"不支持的 Dify 应用类型: {self.ap.provider_cfg.data['dify-service-api']['app-type']}"
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f"不支持的 Dify 应用类型: {self.pipeline_config['ai']['dify-service-api']['app-type']}"
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)
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api_key = self.ap.provider_cfg.data["dify-service-api"][
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self.ap.provider_cfg.data["dify-service-api"]["app-type"]
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]["api-key"]
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api_key = self.pipeline_config["ai"]["dify-service-api"]["api-key"]
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self.dify_client = client.AsyncDifyServiceClient(
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api_key=api_key,
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base_url=self.ap.provider_cfg.data["dify-service-api"]["base-url"],
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base_url=self.pipeline_config["ai"]["dify-service-api"]["base-url"],
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)
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def _try_convert_thinking(self, resp_text: str) -> str:
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@@ -48,13 +48,13 @@ class DifyServiceAPIRunner(runner.RequestRunner):
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if not resp_text.startswith("<details style=\"color:gray;background-color: #f8f8f8;padding: 8px;border-radius: 4px;\" open> <summary> Thinking... </summary>"):
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return resp_text
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if self.ap.provider_cfg.data["dify-service-api"]["options"]["convert-thinking-tips"] == "original":
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if self.pipeline_config["ai"]["dify-service-api"]["thinking-convert"] == "original":
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return resp_text
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if self.ap.provider_cfg.data["dify-service-api"]["options"]["convert-thinking-tips"] == "remove":
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if self.pipeline_config["ai"]["dify-service-api"]["thinking-convert"] == "remove":
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return re.sub(r'<details style="color:gray;background-color: #f8f8f8;padding: 8px;border-radius: 4px;" open> <summary> Thinking... </summary>.*?</details>', '', resp_text, flags=re.DOTALL)
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if self.ap.provider_cfg.data["dify-service-api"]["options"]["convert-thinking-tips"] == "plain":
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if self.pipeline_config["ai"]["dify-service-api"]["thinking-convert"] == "plain":
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pattern = r'<details style="color:gray;background-color: #f8f8f8;padding: 8px;border-radius: 4px;" open> <summary> Thinking... </summary>(.*?)</details>'
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thinking_text = re.search(pattern, resp_text, flags=re.DOTALL)
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content_text = re.sub(pattern, '', resp_text, flags=re.DOTALL)
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@@ -121,7 +121,7 @@ class DifyServiceAPIRunner(runner.RequestRunner):
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user=f"{query.session.launcher_type.value}_{query.session.launcher_id}",
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conversation_id=cov_id,
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files=files,
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timeout=self.ap.provider_cfg.data["dify-service-api"]["chat"]["timeout"],
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timeout=self.pipeline_config["ai"]["dify-service-api"]["timeout"],
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):
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self.ap.logger.debug("dify-chat-chunk: " + str(chunk))
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@@ -177,7 +177,7 @@ class DifyServiceAPIRunner(runner.RequestRunner):
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response_mode="streaming",
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conversation_id=cov_id,
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files=files,
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timeout=self.ap.provider_cfg.data["dify-service-api"]["chat"]["timeout"],
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timeout=self.pipeline_config["ai"]["dify-service-api"]["timeout"],
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):
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self.ap.logger.debug("dify-agent-chunk: " + str(chunk))
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@@ -264,7 +264,7 @@ class DifyServiceAPIRunner(runner.RequestRunner):
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inputs=inputs,
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user=f"{query.session.launcher_type.value}_{query.session.launcher_id}",
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files=files,
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timeout=self.ap.provider_cfg.data["dify-service-api"]["workflow"]["timeout"],
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timeout=self.pipeline_config["ai"]["dify-service-api"]["timeout"],
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):
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self.ap.logger.debug("dify-workflow-chunk: " + str(chunk))
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if chunk["event"] in ignored_events:
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@@ -301,11 +301,7 @@ class DifyServiceAPIRunner(runner.RequestRunner):
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msg = llm_entities.Message(
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role="assistant",
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content=chunk["data"]["outputs"][
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self.ap.provider_cfg.data["dify-service-api"]["workflow"][
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"output-key"
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]
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],
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content=chunk["data"]["outputs"]["summary"],
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)
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yield msg
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@@ -314,16 +310,16 @@ class DifyServiceAPIRunner(runner.RequestRunner):
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self, query: core_entities.Query
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) -> typing.AsyncGenerator[llm_entities.Message, None]:
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"""运行请求"""
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if self.ap.provider_cfg.data["dify-service-api"]["app-type"] == "chat":
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if self.pipeline_config["ai"]["dify-service-api"]["app-type"] == "chat":
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async for msg in self._chat_messages(query):
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yield msg
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elif self.ap.provider_cfg.data["dify-service-api"]["app-type"] == "agent":
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elif self.pipeline_config["ai"]["dify-service-api"]["app-type"] == "agent":
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async for msg in self._agent_chat_messages(query):
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yield msg
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elif self.ap.provider_cfg.data["dify-service-api"]["app-type"] == "workflow":
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elif self.pipeline_config["ai"]["dify-service-api"]["app-type"] == "workflow":
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async for msg in self._workflow_messages(query):
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yield msg
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else:
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raise errors.DifyAPIError(
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f"不支持的 Dify 应用类型: {self.ap.provider_cfg.data['dify-service-api']['app-type']}"
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f"不支持的 Dify 应用类型: {self.pipeline_config['ai']['dify-service-api']['app-type']}"
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)
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@@ -16,14 +16,12 @@ class LocalAgentRunner(runner.RequestRunner):
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async def run(self, query: core_entities.Query) -> typing.AsyncGenerator[llm_entities.Message, None]:
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"""运行请求
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"""
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await query.use_model.requester.preprocess(query)
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pending_tool_calls = []
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req_messages = query.prompt.messages.copy() + query.messages.copy() + [query.user_message]
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# 首次请求
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msg = await query.use_model.requester.call(query, query.use_model, req_messages, query.use_funcs)
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msg = await query.use_llm_model.requester.invoke_llm(query, query.use_llm_model, req_messages, query.use_funcs)
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yield msg
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@@ -61,7 +59,7 @@ class LocalAgentRunner(runner.RequestRunner):
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req_messages.append(err_msg)
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# 处理完所有调用,再次请求
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msg = await query.use_model.requester.call(query, query.use_model, req_messages, query.use_funcs)
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msg = await query.use_llm_model.requester.invoke_llm(query, query.use_llm_model, req_messages, query.use_funcs)
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yield msg
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