wehub-resource-sync
98 lines
2.7 KiB
Python
98 lines
2.7 KiB
Python
import json
|
|
import operator
|
|
from typing import Annotated, Sequence, TypedDict
|
|
|
|
from composio_langgraph import LanggraphProvider
|
|
from langchain_core.messages import BaseMessage, FunctionMessage, HumanMessage
|
|
from langchain_core.utils.function_calling import convert_to_openai_function
|
|
from langchain_openai import ChatOpenAI
|
|
from langgraph.graph import END, StateGraph
|
|
|
|
from composio import Composio
|
|
|
|
composio = Composio(provider=LanggraphProvider())
|
|
tools = composio.tools.get(
|
|
user_id="default",
|
|
tools=[
|
|
"GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER",
|
|
"GITHUB_GET_THE_AUTHENTICATED_USER",
|
|
],
|
|
)
|
|
functions = [convert_to_openai_function(t) for t in tools]
|
|
model = ChatOpenAI(temperature=0, streaming=True).bind_functions(functions)
|
|
|
|
|
|
def function_1(state):
|
|
messages = state["messages"]
|
|
response = model.invoke(messages)
|
|
return {"messages": [response]}
|
|
|
|
|
|
def function_2(state):
|
|
messages = state["messages"]
|
|
last_message = messages[-1]
|
|
|
|
parsed_function_call = last_message.additional_kwargs["function_call"]
|
|
|
|
# Find the correct tool to use from the provided list of tools.
|
|
tool_to_use = None
|
|
for t in tools:
|
|
if t.name == parsed_function_call["name"]:
|
|
tool_to_use = t
|
|
break
|
|
|
|
if tool_to_use is None:
|
|
raise ValueError(f"Tool with name {parsed_function_call['name']} not found.")
|
|
|
|
response = tool_to_use.invoke(json.loads(parsed_function_call["arguments"]))
|
|
|
|
function_message = FunctionMessage(
|
|
content=str(response), name=parsed_function_call["name"]
|
|
)
|
|
|
|
return {"messages": [function_message]}
|
|
|
|
|
|
def where_to_go(state):
|
|
messages = state["messages"]
|
|
last_message = messages[-1]
|
|
|
|
if "function_call" in last_message.additional_kwargs:
|
|
return "continue"
|
|
return "end"
|
|
|
|
|
|
class AgentState(TypedDict):
|
|
messages: Annotated[Sequence[BaseMessage], operator.add]
|
|
|
|
|
|
workflow = StateGraph(AgentState)
|
|
workflow.add_node("agent", function_1)
|
|
workflow.add_node("tool", function_2)
|
|
workflow.add_conditional_edges(
|
|
"agent",
|
|
where_to_go,
|
|
{
|
|
# If return is "continue" then we call the tool node.
|
|
"continue": "tool",
|
|
# Otherwise we finish. END is a special node marking
|
|
# that the graph should finish.
|
|
"end": END,
|
|
},
|
|
)
|
|
workflow.add_edge("tool", "agent")
|
|
workflow.set_entry_point("agent")
|
|
|
|
app = workflow.compile()
|
|
inputs = {
|
|
"messages": [
|
|
HumanMessage(content="Star a repo composiohq/composio on GitHub"),
|
|
]
|
|
}
|
|
for output in app.stream(inputs): # type: ignore
|
|
for key, value in output.items():
|
|
print(f"Output from node '{key}':")
|
|
print("---")
|
|
print(value)
|
|
print("\n---\n")
|