refactor apps

This commit is contained in:
takatost
2024-03-02 02:40:18 +08:00
parent 5e38996222
commit 5c7ea08bdf
111 changed files with 1979 additions and 1819 deletions

View File

@ -5,17 +5,15 @@ from datetime import datetime
from mimetypes import guess_extension
from typing import Optional, Union, cast
from core.agent.entities import AgentEntity, AgentToolEntity
from core.app.app_queue_manager import AppQueueManager
from core.app.base_app_runner import AppRunner
from core.app.apps.agent_chat.app_config_manager import AgentChatAppConfig
from core.app.apps.base_app_runner import AppRunner
from core.callback_handler.agent_tool_callback_handler import DifyAgentCallbackHandler
from core.callback_handler.index_tool_callback_handler import DatasetIndexToolCallbackHandler
from core.entities.application_entities import (
AgentEntity,
AgentToolEntity,
ApplicationGenerateEntity,
AppOrchestrationConfigEntity,
InvokeFrom,
ModelConfigEntity,
from core.app.entities.app_invoke_entities import (
EasyUIBasedAppGenerateEntity,
InvokeFrom, EasyUIBasedModelConfigEntity,
)
from core.file.message_file_parser import FileTransferMethod
from core.memory.token_buffer_memory import TokenBufferMemory
@ -50,9 +48,9 @@ logger = logging.getLogger(__name__)
class BaseAgentRunner(AppRunner):
def __init__(self, tenant_id: str,
application_generate_entity: ApplicationGenerateEntity,
app_orchestration_config: AppOrchestrationConfigEntity,
model_config: ModelConfigEntity,
application_generate_entity: EasyUIBasedAppGenerateEntity,
app_config: AgentChatAppConfig,
model_config: EasyUIBasedModelConfigEntity,
config: AgentEntity,
queue_manager: AppQueueManager,
message: Message,
@ -66,7 +64,7 @@ class BaseAgentRunner(AppRunner):
"""
Agent runner
:param tenant_id: tenant id
:param app_orchestration_config: app orchestration config
:param app_config: app generate entity
:param model_config: model config
:param config: dataset config
:param queue_manager: queue manager
@ -78,7 +76,7 @@ class BaseAgentRunner(AppRunner):
"""
self.tenant_id = tenant_id
self.application_generate_entity = application_generate_entity
self.app_orchestration_config = app_orchestration_config
self.app_config = app_config
self.model_config = model_config
self.config = config
self.queue_manager = queue_manager
@ -97,16 +95,16 @@ class BaseAgentRunner(AppRunner):
# init dataset tools
hit_callback = DatasetIndexToolCallbackHandler(
queue_manager=queue_manager,
app_id=self.application_generate_entity.app_id,
app_id=self.app_config.app_id,
message_id=message.id,
user_id=user_id,
invoke_from=self.application_generate_entity.invoke_from,
)
self.dataset_tools = DatasetRetrieverTool.get_dataset_tools(
tenant_id=tenant_id,
dataset_ids=app_orchestration_config.dataset.dataset_ids if app_orchestration_config.dataset else [],
retrieve_config=app_orchestration_config.dataset.retrieve_config if app_orchestration_config.dataset else None,
return_resource=app_orchestration_config.show_retrieve_source,
dataset_ids=app_config.dataset.dataset_ids if app_config.dataset else [],
retrieve_config=app_config.dataset.retrieve_config if app_config.dataset else None,
return_resource=app_config.additional_features.show_retrieve_source,
invoke_from=application_generate_entity.invoke_from,
hit_callback=hit_callback
)
@ -124,14 +122,15 @@ class BaseAgentRunner(AppRunner):
else:
self.stream_tool_call = False
def _repack_app_orchestration_config(self, app_orchestration_config: AppOrchestrationConfigEntity) -> AppOrchestrationConfigEntity:
def _repack_app_generate_entity(self, app_generate_entity: EasyUIBasedAppGenerateEntity) \
-> EasyUIBasedAppGenerateEntity:
"""
Repack app orchestration config
Repack app generate entity
"""
if app_orchestration_config.prompt_template.simple_prompt_template is None:
app_orchestration_config.prompt_template.simple_prompt_template = ''
if app_generate_entity.app_config.prompt_template.simple_prompt_template is None:
app_generate_entity.app_config.prompt_template.simple_prompt_template = ''
return app_orchestration_config
return app_generate_entity
def _convert_tool_response_to_str(self, tool_response: list[ToolInvokeMessage]) -> str:
"""
@ -351,7 +350,7 @@ class BaseAgentRunner(AppRunner):
))
db.session.close()
return result
def create_agent_thought(self, message_id: str, message: str,
@ -462,7 +461,7 @@ class BaseAgentRunner(AppRunner):
db.session.commit()
db.session.close()
def transform_tool_invoke_messages(self, messages: list[ToolInvokeMessage]) -> list[ToolInvokeMessage]:
"""
Transform tool message into agent thought

View File

@ -5,7 +5,7 @@ from typing import Literal, Union
from core.agent.base_agent_runner import BaseAgentRunner
from core.app.app_queue_manager import PublishFrom
from core.entities.application_entities import AgentPromptEntity, AgentScratchpadUnit
from core.agent.entities import AgentPromptEntity, AgentScratchpadUnit
from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
from core.model_runtime.entities.message_entities import (
AssistantPromptMessage,
@ -27,7 +27,7 @@ from core.tools.errors import (
from models.model import Conversation, Message
class AssistantCotApplicationRunner(BaseAssistantApplicationRunner):
class CotAgentRunner(BaseAgentRunner):
_is_first_iteration = True
_ignore_observation_providers = ['wenxin']
@ -39,30 +39,33 @@ class AssistantCotApplicationRunner(BaseAssistantApplicationRunner):
"""
Run Cot agent application
"""
app_orchestration_config = self.app_orchestration_config
self._repack_app_orchestration_config(app_orchestration_config)
app_generate_entity = self.application_generate_entity
self._repack_app_generate_entity(app_generate_entity)
agent_scratchpad: list[AgentScratchpadUnit] = []
self._init_agent_scratchpad(agent_scratchpad, self.history_prompt_messages)
if 'Observation' not in app_orchestration_config.model_config.stop:
if app_orchestration_config.model_config.provider not in self._ignore_observation_providers:
app_orchestration_config.model_config.stop.append('Observation')
# check model mode
if 'Observation' not in app_generate_entity.model_config.stop:
if app_generate_entity.model_config.provider not in self._ignore_observation_providers:
app_generate_entity.model_config.stop.append('Observation')
app_config = self.app_config
# override inputs
inputs = inputs or {}
instruction = self.app_orchestration_config.prompt_template.simple_prompt_template
instruction = app_config.prompt_template.simple_prompt_template
instruction = self._fill_in_inputs_from_external_data_tools(instruction, inputs)
iteration_step = 1
max_iteration_steps = min(self.app_orchestration_config.agent.max_iteration, 5) + 1
max_iteration_steps = min(app_config.agent.max_iteration, 5) + 1
prompt_messages = self.history_prompt_messages
# convert tools into ModelRuntime Tool format
prompt_messages_tools: list[PromptMessageTool] = []
tool_instances = {}
for tool in self.app_orchestration_config.agent.tools if self.app_orchestration_config.agent else []:
for tool in app_config.agent.tools if app_config.agent else []:
try:
prompt_tool, tool_entity = self._convert_tool_to_prompt_message_tool(tool)
except Exception:
@ -122,11 +125,11 @@ class AssistantCotApplicationRunner(BaseAssistantApplicationRunner):
# update prompt messages
prompt_messages = self._organize_cot_prompt_messages(
mode=app_orchestration_config.model_config.mode,
mode=app_generate_entity.model_config.mode,
prompt_messages=prompt_messages,
tools=prompt_messages_tools,
agent_scratchpad=agent_scratchpad,
agent_prompt_message=app_orchestration_config.agent.prompt,
agent_prompt_message=app_config.agent.prompt,
instruction=instruction,
input=query
)
@ -136,9 +139,9 @@ class AssistantCotApplicationRunner(BaseAssistantApplicationRunner):
# invoke model
chunks: Generator[LLMResultChunk, None, None] = model_instance.invoke_llm(
prompt_messages=prompt_messages,
model_parameters=app_orchestration_config.model_config.parameters,
model_parameters=app_generate_entity.model_config.parameters,
tools=[],
stop=app_orchestration_config.model_config.stop,
stop=app_generate_entity.model_config.stop,
stream=True,
user=self.user_id,
callbacks=[],
@ -550,7 +553,7 @@ class AssistantCotApplicationRunner(BaseAssistantApplicationRunner):
"""
convert agent scratchpad list to str
"""
next_iteration = self.app_orchestration_config.agent.prompt.next_iteration
next_iteration = self.app_config.agent.prompt.next_iteration
result = ''
for scratchpad in agent_scratchpad:

View File

@ -0,0 +1,61 @@
from enum import Enum
from typing import Literal, Any, Union, Optional
from pydantic import BaseModel
class AgentToolEntity(BaseModel):
"""
Agent Tool Entity.
"""
provider_type: Literal["builtin", "api"]
provider_id: str
tool_name: str
tool_parameters: dict[str, Any] = {}
class AgentPromptEntity(BaseModel):
"""
Agent Prompt Entity.
"""
first_prompt: str
next_iteration: str
class AgentScratchpadUnit(BaseModel):
"""
Agent First Prompt Entity.
"""
class Action(BaseModel):
"""
Action Entity.
"""
action_name: str
action_input: Union[dict, str]
agent_response: Optional[str] = None
thought: Optional[str] = None
action_str: Optional[str] = None
observation: Optional[str] = None
action: Optional[Action] = None
class AgentEntity(BaseModel):
"""
Agent Entity.
"""
class Strategy(Enum):
"""
Agent Strategy.
"""
CHAIN_OF_THOUGHT = 'chain-of-thought'
FUNCTION_CALLING = 'function-calling'
provider: str
model: str
strategy: Strategy
prompt: Optional[AgentPromptEntity] = None
tools: list[AgentToolEntity] = None
max_iteration: int = 5

View File

@ -34,9 +34,11 @@ class FunctionCallAgentRunner(BaseAgentRunner):
"""
Run FunctionCall agent application
"""
app_orchestration_config = self.app_orchestration_config
app_generate_entity = self.application_generate_entity
prompt_template = self.app_orchestration_config.prompt_template.simple_prompt_template or ''
app_config = self.app_config
prompt_template = app_config.prompt_template.simple_prompt_template or ''
prompt_messages = self.history_prompt_messages
prompt_messages = self.organize_prompt_messages(
prompt_template=prompt_template,
@ -47,7 +49,7 @@ class FunctionCallAgentRunner(BaseAgentRunner):
# convert tools into ModelRuntime Tool format
prompt_messages_tools: list[PromptMessageTool] = []
tool_instances = {}
for tool in self.app_orchestration_config.agent.tools if self.app_orchestration_config.agent else []:
for tool in app_config.agent.tools if app_config.agent else []:
try:
prompt_tool, tool_entity = self._convert_tool_to_prompt_message_tool(tool)
except Exception:
@ -67,7 +69,7 @@ class FunctionCallAgentRunner(BaseAgentRunner):
tool_instances[dataset_tool.identity.name] = dataset_tool
iteration_step = 1
max_iteration_steps = min(app_orchestration_config.agent.max_iteration, 5) + 1
max_iteration_steps = min(app_config.agent.max_iteration, 5) + 1
# continue to run until there is not any tool call
function_call_state = True
@ -110,9 +112,9 @@ class FunctionCallAgentRunner(BaseAgentRunner):
# invoke model
chunks: Union[Generator[LLMResultChunk, None, None], LLMResult] = model_instance.invoke_llm(
prompt_messages=prompt_messages,
model_parameters=app_orchestration_config.model_config.parameters,
model_parameters=app_generate_entity.model_config.parameters,
tools=prompt_messages_tools,
stop=app_orchestration_config.model_config.stop,
stop=app_generate_entity.model_config.stop,
stream=self.stream_tool_call,
user=self.user_id,
callbacks=[],