templates: robocorp action server template (#15776)

---------

Co-authored-by: Rihards Gravis <rihards@gravis.lv>
Co-authored-by: Mikko Korpela <mikko@robocorp.com>

templates/robocorp-action-server/robocorp_action_server/__init__.py

@@ -0,0 +1,3 @@
+from robocorp_action_server.agent import agent_executor
+
+__all__ = ["agent_executor"]

templates/robocorp-action-server/robocorp_action_server/agent.py

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+from langchain.agents import AgentExecutor, OpenAIFunctionsAgent
+from langchain_core.messages import SystemMessage
+from langchain_core.pydantic_v1 import BaseModel
+from langchain_openai import ChatOpenAI
+from langchain_robocorp import ActionServerToolkit
+
+# Initialize LLM chat model
+llm = ChatOpenAI(model="gpt-4", temperature=0)
+
+# Initialize Action Server Toolkit
+toolkit = ActionServerToolkit(url="http://localhost:8080")
+tools = toolkit.get_tools()
+
+# Initialize Agent
+system_message = SystemMessage(content="You are a helpful assistant")
+prompt = OpenAIFunctionsAgent.create_prompt(system_message)
+agent = OpenAIFunctionsAgent(
+    llm=llm,
+    prompt=prompt,
+    tools=tools,
+)
+
+# Initialize Agent executor
+agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
+
+
+# Typings for Langserve playground
+class Input(BaseModel):
+    input: str
+
+
+class Output(BaseModel):
+    output: str
+
+
+agent_executor = agent_executor.with_types(input_type=Input, output_type=Output)  # type: ignore[arg-type, assignment]