diff --git a/README.md b/README.md index 7b6eeaf..232fadb 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,3 @@ `uv run main.py` to run in dev container -Might need to select interpreter in VS code and point to .venv directory \ No newline at end of file +Might need to select interpreter in VS code and point to .venv directory to get type checking \ No newline at end of file diff --git a/main.instructor.py b/main.instructor.py new file mode 100644 index 0000000..95e1b6d --- /dev/null +++ b/main.instructor.py @@ -0,0 +1,82 @@ +import os +from dotenv import load_dotenv +from openai import OpenAI +from pydantic import BaseModel, Field +from openai.types.responses import ResponseInputParam +import instructor + +MODEL = "gpt-4o-mini" +CONVERSATION_TURNS = 20 + + +class Response(BaseModel): + inner_thoughts: str = Field( + description="Your inner thoughts before forming the answer you respond with in utterance. This will not be visible to anyone else than you.") + utterance: str = Field( + description="The response that you say after forming your thoughts from inner thoughts. This wil lbe spoken to the chat partner.") + + +class Agent: + client: any + history: ResponseInputParam + + def __init__(self, client: any, message: str): + self.client = client + # Instruct the character + self.history = [ + { + "role": "system", + "content": message + }, + ] + + def message(self, message: str) -> tuple[str, str]: + self.history.append({"role": "user", "content": message}) + + response = self.client.chat.completions.create( + model=MODEL, + messages=self.history, + response_model=Response + ) + + content = response.utterance + self.history.append( + {"role": "system", "content": content}) + return (content, response.inner_thoughts) + + +def main(): + print("Starting AI conversation!") + load_dotenv() + + api_key = os.environ.get("OPENAI_API_KEY") + client = OpenAI(api_key=api_key) + client = instructor.from_openai(client) + + system_prompt = "You are a helpful and curious assistant. Answer short and with a question so that the conversation continues." + + agent_1 = Agent( + client, system_prompt) + agent_2 = Agent( + client, system_prompt) + agents = [agent_1, agent_2] + + # Iterable that switches between 0 and 1 to switch between agent 0 and 1 + # to switch for each chat turn + agent_turn_indices = map(lambda turn_index: turn_index % + len(agents), range(CONVERSATION_TURNS)) + + # Ask initial question to get the chat rolling + last_message = "How are you doing?" + for agent_index in agent_turn_indices: + current_agent = agents[agent_index] + (last_message, inner_thoughts) = current_agent.message(last_message) + print(f"\n[Agent {agent_index + 1} inner thoughts]: {inner_thoughts}") + print( + f"[Agent {agent_index + 1}]: {last_message}") + + print("Conversation completed!") + + +if __name__ == "__main__": + main() diff --git a/main.py b/main.py index 8f3a550..91691be 100644 --- a/main.py +++ b/main.py @@ -38,9 +38,10 @@ class Agent: text_format=Response ) + content = response.output_parsed.utterance self.history.append( - {"role": "system", "content": response.output_parsed.utterance}) - return (response.output_parsed.utterance, response.output_parsed.inner_thoughts) + {"role": "system", "content": content}) + return (content, response.output_parsed.inner_thoughts) def main(): diff --git a/pyproject.toml b/pyproject.toml index 2c24c00..3acc80c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,6 +5,7 @@ description = "Add your description here" readme = "README.md" requires-python = ">=3.12" dependencies = [ + "instructor>=1.8.2", "openai>=1.68.2", "pydantic>=2.10.6", "python-dotenv>=1.0.1", diff --git a/uv.lock b/uv.lock index 1d27955..02c1821 100644 --- a/uv.lock +++ b/uv.lock @@ -2,6 +2,76 @@ version = 1 revision = 1 requires-python = ">=3.12" +[[package]] +name = "aiohappyeyeballs" +version = "2.6.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = 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