adding changes suggested by black linter

pull/576/head
tad dy 4 months ago
parent 8a64e12885
commit 8c312c2df2

@ -3,8 +3,8 @@ from typing import Callable, Dict, List, Optional
from swarms.memory.base_vectordb import BaseVectorDatabase from swarms.memory.base_vectordb import BaseVectorDatabase
from swarms.structs.agent import Agent from swarms.structs.agent import Agent
from swarms.structs.base_swarm import BaseSwarm from swarms.structs.base_swarm import BaseSwarm
from swarms.utils.loguru_logger import logger
from swarms.structs.omni_agent_types import AgentType from swarms.structs.omni_agent_types import AgentType
from swarms.utils.loguru_logger import logger
class AgentRearrange(BaseSwarm): class AgentRearrange(BaseSwarm):
@ -307,7 +307,7 @@ class AgentRearrange(BaseSwarm):
# If there is no prevous agent just insert the custom tasks # If there is no prevous agent just insert the custom tasks
tasks.insert(position, c_task) tasks.insert(position, c_task)
logger.info('TASK:', task) logger.info("TASK:", task)
# Set the loop counter # Set the loop counter
loop_count = 0 loop_count = 0
@ -341,21 +341,29 @@ class AgentRearrange(BaseSwarm):
else: else:
agent = self.agents[agent_name] agent = self.agents[agent_name]
result = None result = None
# As the current `swarms` package is using LangChain v0.1 we need to use the v0.1 version of the `astream_events` API # As the current `swarms` package is using LangChain v0.1 we need to use the v0.1 version of the `astream_events` API
# Below is the link to the `astream_events` spec as outlined in the LangChain v0.1 docs # Below is the link to the `astream_events` spec as outlined in the LangChain v0.1 docs
# https://python.langchain.com/v0.1/docs/expression_language/streaming/#event-reference # https://python.langchain.com/v0.1/docs/expression_language/streaming/#event-reference
# Below is the link to the `astream_events` spec as outlined in the LangChain v0.2 docs # Below is the link to the `astream_events` spec as outlined in the LangChain v0.2 docs
# https://python.langchain.com/v0.2/docs/versions/v0_2/migrating_astream_events/ # https://python.langchain.com/v0.2/docs/versions/v0_2/migrating_astream_events/
async for evt in agent.astream_events(current_task, version="v1"): async for evt in agent.astream_events(
current_task, version="v1"
):
# print(evt) # <- useful when building/debugging # print(evt) # <- useful when building/debugging
if evt['event'] == "on_llm_end": if evt["event"] == "on_llm_end":
result = evt['data']['output'] result = evt["data"]["output"]
print(agent.name, result) print(agent.name, result)
results.append(result) results.append(result)
current_task = "" current_task = ""
for index,res in enumerate(results): for index, res in enumerate(results):
current_task += "# OUTPUT of " + agent_names[index] + "" + res + "\n\n" current_task += (
"# OUTPUT of "
+ agent_names[index]
+ ""
+ res
+ "\n\n"
)
else: else:
# Sequential processing # Sequential processing
logger.info( logger.info(
@ -381,18 +389,21 @@ class AgentRearrange(BaseSwarm):
else: else:
agent = self.agents[agent_name] agent = self.agents[agent_name]
result = None result = None
# As the current `swarms` package is using LangChain v0.1 we need to use the v0.1 version of the `astream_events` API # As the current `swarms` package is using LangChain v0.1 we need to use the v0.1 version of the `astream_events` API
# Below is the link to the `astream_events` spec as outlined in the LangChain v0.1 docs # Below is the link to the `astream_events` spec as outlined in the LangChain v0.1 docs
# https://python.langchain.com/v0.1/docs/expression_language/streaming/#event-reference # https://python.langchain.com/v0.1/docs/expression_language/streaming/#event-reference
# Below is the link to the `astream_events` spec as outlined in the LangChain v0.2 docs # Below is the link to the `astream_events` spec as outlined in the LangChain v0.2 docs
# https://python.langchain.com/v0.2/docs/versions/v0_2/migrating_astream_events/ # https://python.langchain.com/v0.2/docs/versions/v0_2/migrating_astream_events/
async for evt in agent.astream_events(f"SYSTEM: {agent.system_prompt}\nINPUT:{current_task}", version="v1"): async for evt in agent.astream_events(
f"SYSTEM: {agent.system_prompt}\nINPUT:{current_task}",
version="v1",
):
# print(evt) # <- useful when building/debugging # print(evt) # <- useful when building/debugging
if evt['event'] == "on_llm_end": if evt["event"] == "on_llm_end":
result = evt['data']['output'] result = evt["data"]["output"]
print(agent.name, 'result', result) print(agent.name, "result", result)
current_task = result current_task = result
loop_count += 1 loop_count += 1
return current_task return current_task

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