feat: Adding LLM Agents (Interview setting using openhands) to Sotopia Aact (Experimental)

examples/experimental/group_discussion_agents/group_discussion_agents.py

@@ -2,7 +2,7 @@
 from aact import Message, NodeFactory
 from aact.messages import Text, Tick, DataModel, DataModelFactory
 from sotopia.agents.llm_agent import ainput
-from sotopia.experimental.agents import BaseAgent
+from sotopia.experimental.agents.base_agent import BaseAgent
 
 from sotopia.generation_utils import agenerate
 from sotopia.generation_utils.generate import StrOutputParser

examples/experimental/interview_openhands/interview_openhands.toml

@@ -0,0 +1,45 @@
+redis_url = "redis://localhost:6379/0"
+extra_modules = ["examples.experimental.interview_openhands.llm_agent"]
+
+
+[[nodes]]
+node_name = "Jack"
+node_class = "llm_agent"
+
+[nodes.node_args]
+query_interval = 5
+output_channel = "Jack:Jane"
+input_text_channels = ["Jane:Jack"]
+input_env_channels = ["Runtime:Agent"]
+input_tick_channel = "tick/secs/1"
+goal = "Your goal is to effectively test Jane's technical ability and finally decide if she has passed the interview. Make sure to also evaluate her communication skills, problem-solving approach, and enthusiasm."
+model_name = "gpt-4o-mini"
+agent_name = "Jack"
+
+[[nodes]]
+node_name = "Jane"
+node_class = "llm_agent"
+
+[nodes.node_args]
+query_interval = 7
+output_channel = "Jane:Jack"
+input_text_channels = ["Jack:Jane"]
+input_env_channels = ["Runtime:Agent"]
+input_tick_channel = "tick/secs/1"
+goal = "Your goal is to do well in the interview by demonstrating your technical skills, clear communication, and enthusiasm for the position. Stay calm, ask clarifying questions when needed, and confidently explain your thought process."
+model_name = "gpt-4o-mini"
+agent_name = "Jane"
+
+[[nodes]]
+node_name = "tick"
+node_class = "tick"
+
+
+[[nodes]]
+node_name = "print"
+node_class = "print"
+
+[nodes.node_args.print_channel_types]
+"tick/secs/1" = "tick"
+"Jane:Jack" = "agent_action"
+"Jack:Jane" = "agent_action"