From f1f9e9e5c9e94a73211957490e21da894305256c Mon Sep 17 00:00:00 2001 From: Steve Androulakis Date: Wed, 1 Jan 2025 17:10:48 -0800 Subject: [PATCH] readme update --- README.md | 2 +- workflows/tool_workflow.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index c266bdc..a0fd4e3 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # AI Agent execution using Temporal -Work in progress (very early!). +Work in progress. This demo shows a multi-turn conversation with an AI agent running inside a Temporal workflow. The goal is to collect information towards a goal. There's a simple DSL input for collecting information (currently set up to use mock functions to search for events, book flights around those events then generate an invoice for those flights, see `send_message.py`). The AI will respond with clarifications and ask for any missing information to that goal. It uses a local LLM via Ollama. diff --git a/workflows/tool_workflow.py b/workflows/tool_workflow.py index ee7f7d2..6425f31 100644 --- a/workflows/tool_workflow.py +++ b/workflows/tool_workflow.py @@ -179,7 +179,7 @@ class ToolWorkflow: "Chat ended. Conversation summary:\n" + f"{self.conversation_summary}" ) - return f"{self.conversation_history}" + return f"{self.conversation_summary}" @workflow.signal async def user_prompt(self, prompt: str) -> None: