Compare commits
4 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
dba1ed1e19 | ||
|
|
a24514876b | ||
|
|
466a1c1c41 | ||
|
|
a2d5e9f40f |
@@ -2,7 +2,7 @@
|
||||
如需修改配置,请在 `data/cmd_config.json` 中修改或者在管理面板中可视化修改。
|
||||
"""
|
||||
|
||||
VERSION = "3.4.29"
|
||||
VERSION = "3.4.30"
|
||||
DB_PATH = "data/data_v3.db"
|
||||
|
||||
# 默认配置
|
||||
@@ -409,6 +409,17 @@ CONFIG_METADATA_2 = {
|
||||
"model": "gpt-4o-mini",
|
||||
},
|
||||
},
|
||||
"xAI": {
|
||||
"id": "xai",
|
||||
"type": "openai_chat_completion",
|
||||
"enable": True,
|
||||
"key": [],
|
||||
"api_base": "https://api.x.ai/v1",
|
||||
"timeout": 120,
|
||||
"model_config": {
|
||||
"model": "grok-2-latest",
|
||||
},
|
||||
},
|
||||
"ollama": {
|
||||
"id": "ollama_default",
|
||||
"type": "openai_chat_completion",
|
||||
|
||||
@@ -11,6 +11,7 @@ from astrbot.core.message.components import Image
|
||||
from astrbot.core import logger
|
||||
from astrbot.core.utils.metrics import Metric
|
||||
from astrbot.core.provider.entites import ProviderRequest
|
||||
from astrbot.core.star.star_handler import star_handlers_registry, EventType
|
||||
|
||||
class DifyRequestSubStage(Stage):
|
||||
|
||||
@@ -48,17 +49,40 @@ class DifyRequestSubStage(Stage):
|
||||
return
|
||||
|
||||
req.session_id = event.unified_msg_origin
|
||||
|
||||
# 执行请求 LLM 前事件钩子。
|
||||
# 装饰 system_prompt 等功能
|
||||
handlers = star_handlers_registry.get_handlers_by_event_type(EventType.OnLLMRequestEvent)
|
||||
for handler in handlers:
|
||||
try:
|
||||
await handler.handler(event, req)
|
||||
except BaseException:
|
||||
logger.error(traceback.format_exc())
|
||||
|
||||
try:
|
||||
logger.debug(f"Dify 请求 Payload: {req.__dict__}")
|
||||
llm_response = await provider.text_chat(**req.__dict__) # 请求 LLM
|
||||
await Metric.upload(llm_tick=1, model_name=provider.get_model(), provider_type=provider.meta().type)
|
||||
|
||||
# 执行 LLM 响应后的事件。
|
||||
handlers = star_handlers_registry.get_handlers_by_event_type(EventType.OnLLMResponseEvent)
|
||||
for handler in handlers:
|
||||
try:
|
||||
await handler.handler(event, llm_response)
|
||||
except BaseException:
|
||||
logger.error(traceback.format_exc())
|
||||
|
||||
if llm_response.role == 'assistant':
|
||||
# text completion
|
||||
event.set_result(MessageEventResult().message(llm_response.completion_text)
|
||||
.set_result_content_type(ResultContentType.LLM_RESULT))
|
||||
yield # rick roll
|
||||
return
|
||||
elif llm_response.role == 'err':
|
||||
event.set_result(MessageEventResult().message(f"AstrBot 请求失败。\n错误信息: {llm_response.completion_text}"))
|
||||
return
|
||||
elif llm_response.role == 'tool':
|
||||
event.set_result(MessageEventResult().message(f"Dify 暂不支持工具调用。"))
|
||||
yield
|
||||
|
||||
except BaseException as e:
|
||||
logger.error(traceback.format_exc())
|
||||
|
||||
@@ -69,9 +69,7 @@ class LLMRequestSubStage(Stage):
|
||||
handlers = star_handlers_registry.get_handlers_by_event_type(EventType.OnLLMRequestEvent)
|
||||
for handler in handlers:
|
||||
try:
|
||||
wrapper = self._call_handler(self.ctx, event, handler.handler, req)
|
||||
async for ret in wrapper:
|
||||
yield ret
|
||||
await handler.handler(event, req)
|
||||
except BaseException:
|
||||
logger.error(traceback.format_exc())
|
||||
|
||||
@@ -88,9 +86,7 @@ class LLMRequestSubStage(Stage):
|
||||
handlers = star_handlers_registry.get_handlers_by_event_type(EventType.OnLLMResponseEvent)
|
||||
for handler in handlers:
|
||||
try:
|
||||
wrapper = self._call_handler(self.ctx, event, handler.handler, llm_response)
|
||||
async for ret in wrapper:
|
||||
yield ret
|
||||
await handler.handler(event, llm_response)
|
||||
except BaseException:
|
||||
logger.error(traceback.format_exc())
|
||||
|
||||
|
||||
@@ -90,9 +90,7 @@ class RespondStage(Stage):
|
||||
handlers = star_handlers_registry.get_handlers_by_event_type(EventType.OnAfterMessageSentEvent)
|
||||
for handler in handlers:
|
||||
try:
|
||||
wrapper = self._call_handler(self.ctx, event, handler.handler)
|
||||
async for ret in wrapper:
|
||||
yield ret
|
||||
await handler.handler(event)
|
||||
except BaseException:
|
||||
logger.error(traceback.format_exc())
|
||||
|
||||
|
||||
@@ -63,13 +63,10 @@ class ResultDecorateStage(Stage):
|
||||
handlers = star_handlers_registry.get_handlers_by_event_type(EventType.OnDecoratingResultEvent)
|
||||
for handler in handlers:
|
||||
try:
|
||||
wrapper = self._call_handler(self.ctx, event, handler.handler)
|
||||
async for ret in wrapper:
|
||||
yield ret
|
||||
await handler.handler(event)
|
||||
except BaseException:
|
||||
logger.error(traceback.format_exc())
|
||||
|
||||
|
||||
# 需要再获取一次。插件可能直接对 chain 进行了替换。
|
||||
result = event.get_result()
|
||||
if result is None:
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
from __future__ import annotations
|
||||
import abc
|
||||
import inspect
|
||||
from astrbot.api import logger
|
||||
from typing import List, AsyncGenerator, Union, Awaitable
|
||||
from astrbot.core.platform.astr_message_event import AstrMessageEvent
|
||||
from .context import PipelineContext
|
||||
@@ -46,6 +47,7 @@ class Stage(abc.ABC):
|
||||
ready_to_call = handler(event, *args, **kwargs)
|
||||
except TypeError as e:
|
||||
# 向下兼容
|
||||
logger.debug(str(e))
|
||||
ready_to_call = handler(event, ctx.plugin_manager.context, *args, **kwargs)
|
||||
|
||||
if isinstance(ready_to_call, AsyncGenerator):
|
||||
|
||||
@@ -75,52 +75,57 @@ class ProviderDify(Provider):
|
||||
session_vars = sp.get("session_variables", {})
|
||||
session_var = session_vars.get(session_id, {})
|
||||
|
||||
match self.api_type:
|
||||
case "chat" | "agent":
|
||||
async for chunk in self.api_client.chat_messages(
|
||||
inputs={
|
||||
**session_var
|
||||
},
|
||||
query=prompt,
|
||||
user=session_id,
|
||||
conversation_id=conversation_id,
|
||||
files=files_payload,
|
||||
timeout=self.timeout
|
||||
):
|
||||
logger.debug(f"dify resp chunk: {chunk}")
|
||||
if chunk['event'] == "message" or \
|
||||
chunk['event'] == "agent_message":
|
||||
result += chunk['answer']
|
||||
if not conversation_id:
|
||||
self.conversation_ids[session_id] = chunk['conversation_id']
|
||||
conversation_id = chunk['conversation_id']
|
||||
|
||||
case "workflow":
|
||||
async for chunk in self.api_client.workflow_run(
|
||||
inputs={
|
||||
self.dify_query_input_key: prompt,
|
||||
"astrbot_session_id": session_id,
|
||||
**session_var
|
||||
},
|
||||
user=session_id,
|
||||
files=files_payload,
|
||||
timeout=self.timeout
|
||||
):
|
||||
match chunk['event']:
|
||||
case "workflow_started":
|
||||
logger.info(f"Dify 工作流(ID: {chunk['workflow_run_id']})开始运行。")
|
||||
case "node_finished":
|
||||
logger.debug(f"Dify 工作流节点(ID: {chunk['data']['node_id']} Title: {chunk['data'].get('title', '')})运行结束。")
|
||||
case "workflow_finished":
|
||||
logger.info(f"Dify 工作流(ID: {chunk['workflow_run_id']})运行结束。")
|
||||
if chunk['data']['error']:
|
||||
logger.error(f"Dify 工作流出现错误:{chunk['data']['error']}")
|
||||
raise Exception(f"Dify 工作流出现错误:{chunk['data']['error']}")
|
||||
if self.workflow_output_key not in chunk['data']['outputs']:
|
||||
raise Exception(f"Dify 工作流的输出不包含指定的键名:{self.workflow_output_key}")
|
||||
result = chunk['data']['outputs'][self.workflow_output_key]
|
||||
case _:
|
||||
raise Exception(f"未知的 Dify API 类型:{self.api_type}")
|
||||
try:
|
||||
match self.api_type:
|
||||
case "chat" | "agent":
|
||||
async for chunk in self.api_client.chat_messages(
|
||||
inputs={
|
||||
**session_var
|
||||
},
|
||||
query=prompt,
|
||||
user=session_id,
|
||||
conversation_id=conversation_id,
|
||||
files=files_payload,
|
||||
timeout=self.timeout
|
||||
):
|
||||
logger.debug(f"dify resp chunk: {chunk}")
|
||||
if chunk['event'] == "message" or \
|
||||
chunk['event'] == "agent_message":
|
||||
result += chunk['answer']
|
||||
if not conversation_id:
|
||||
self.conversation_ids[session_id] = chunk['conversation_id']
|
||||
conversation_id = chunk['conversation_id']
|
||||
|
||||
case "workflow":
|
||||
async for chunk in self.api_client.workflow_run(
|
||||
inputs={
|
||||
self.dify_query_input_key: prompt,
|
||||
"astrbot_session_id": session_id,
|
||||
**session_var
|
||||
},
|
||||
user=session_id,
|
||||
files=files_payload,
|
||||
timeout=self.timeout
|
||||
):
|
||||
match chunk['event']:
|
||||
case "workflow_started":
|
||||
logger.info(f"Dify 工作流(ID: {chunk['workflow_run_id']})开始运行。")
|
||||
case "node_finished":
|
||||
logger.debug(f"Dify 工作流节点(ID: {chunk['data']['node_id']} Title: {chunk['data'].get('title', '')})运行结束。")
|
||||
case "workflow_finished":
|
||||
logger.info(f"Dify 工作流(ID: {chunk['workflow_run_id']})运行结束。")
|
||||
if chunk['data']['error']:
|
||||
logger.error(f"Dify 工作流出现错误:{chunk['data']['error']}")
|
||||
raise Exception(f"Dify 工作流出现错误:{chunk['data']['error']}")
|
||||
if self.workflow_output_key not in chunk['data']['outputs']:
|
||||
raise Exception(f"Dify 工作流的输出不包含指定的键名:{self.workflow_output_key}")
|
||||
result = chunk['data']['outputs'][self.workflow_output_key]
|
||||
case _:
|
||||
raise Exception(f"未知的 Dify API 类型:{self.api_type}")
|
||||
except Exception as e:
|
||||
logger.error(f"Dify 请求失败:{str(e)}")
|
||||
return LLMResponse(role="err", completion_text=f"Dify 请求失败:{str(e)}")
|
||||
|
||||
return LLMResponse(role="assistant", completion_text=result)
|
||||
|
||||
async def forget(self, session_id):
|
||||
|
||||
@@ -110,9 +110,6 @@ class CommandFilter(HandlerFilter):
|
||||
message_str = message_str[len(_full):].strip()
|
||||
ok = True
|
||||
break
|
||||
|
||||
print(message_str, self.command_name, self.alias, self.parent_command_names, ok)
|
||||
|
||||
if not ok:
|
||||
return False
|
||||
|
||||
|
||||
5
changelogs/v3.4.30.md
Normal file
5
changelogs/v3.4.30.md
Normal file
@@ -0,0 +1,5 @@
|
||||
# What's Changed
|
||||
|
||||
1. ‼️🐛 修复: 修复某些情况下导致插件报错 AttributeError 的问题 #549
|
||||
2. ✨ 新增: add xAI template
|
||||
3. 🐛 修复: 修复 dify 无法使用事件钩子的问题以及出现 GeneratorExit 的问题 #533 #264
|
||||
Reference in New Issue
Block a user