From c6d61d99617de77445f75649056f098104530511 Mon Sep 17 00:00:00 2001 From: tomhaddock-crewai Date: Thu, 4 Dec 2025 07:26:25 -0600 Subject: [PATCH 1/3] Updated dependencies in pyproject.toml and uv.lock, including upgrading crewai[tools] to version 0.201.1. Refactored AssistantCrew to simplify knowledge handling and enhance conversational capabilities, changing the agent's role and goal to focus on natural interactions. Adjusted task descriptions for improved user engagement. --- pyproject.toml | 2 +- .../crews/assistant_crew/assistant_crew.py | 26 +- .../crews/assistant_crew/config/agents.yaml | 19 +- .../crews/assistant_crew/config/tasks.yaml | 7 +- uv.lock | 1423 ++++++----------- 5 files changed, 514 insertions(+), 963 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index c1aa354..2617617 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,7 +6,7 @@ authors = [{ name = "Your Name", email = "you@example.com" }] requires-python = ">=3.10,<3.14" dependencies = [ "colorama>=0.4.6", - "crewai[tools]>=0.134.0,<1.0.0", + "crewai[tools]>=0.201.1,<1.0.0", "streamlit>=1.44.1", ] diff --git a/src/conversational_routing/crews/assistant_crew/assistant_crew.py b/src/conversational_routing/crews/assistant_crew/assistant_crew.py index b954014..d8a4f04 100644 --- a/src/conversational_routing/crews/assistant_crew/assistant_crew.py +++ b/src/conversational_routing/crews/assistant_crew/assistant_crew.py @@ -1,10 +1,6 @@ -import os -import glob from crewai import Agent, Crew, Process, Task, LLM from crewai.project import CrewBase, agent, crew, task -from crewai.knowledge.source.text_file_knowledge_source import TextFileKnowledgeSource -from crewai.knowledge.knowledge_config import KnowledgeConfig -from pathlib import Path + @CrewBase class AssistantCrew: @@ -16,30 +12,14 @@ class AssistantCrew: # LLM Configuration llm = LLM( - model="groq/meta-llama/llama-4-scout-17b-16e-instruct", + model="gpt-4o-mini", temperature=0.1, ) @agent def crewai_expert_agent(self) -> Agent: - # Knowledge Configuration - # Define base path to current file - knowledge_base_path = Path(__file__).parent / "knowledge" - - # Prepare the knowledge base for the OSS Framework - files = glob.glob(os.path.join(knowledge_base_path, "oss-docs/**/*.mdx"), recursive=True) - # Convert file strings to Path objects - knowledge_file_paths = [Path(file) for file in files] - return Agent( config=self.agents_config["crewai_expert_agent"], - knowledge_sources=[TextFileKnowledgeSource( - file_paths=knowledge_file_paths, - metadata={ - "category": "CrewAI", - }, - )], - knowledge_config=KnowledgeConfig(results_limit=5, score_threshold=0.7), llm=self.llm, ) @@ -57,5 +37,5 @@ def crew(self) -> Crew: tasks=self.tasks, # Automatically created by the @task decorator process=Process.sequential, verbose=True, - memory=True, + # memory=True, # Enables short-term, long-term, and entity memory ) diff --git a/src/conversational_routing/crews/assistant_crew/config/agents.yaml b/src/conversational_routing/crews/assistant_crew/config/agents.yaml index 5d5656f..a92904a 100644 --- a/src/conversational_routing/crews/assistant_crew/config/agents.yaml +++ b/src/conversational_routing/crews/assistant_crew/config/agents.yaml @@ -1,16 +1,11 @@ crewai_expert_agent: role: > - CrewAI Support Expert + Helpful AI Assistant goal: > - Provide concise (less than a 500 characters unless there is a code example) and accurate information about the CrewAI framework, answering user questions and guiding them in its effective use. - Provide code snippets if required. + Have natural conversations with users. Be friendly and helpful. + If users ask about CrewAI, provide accurate information and code examples. + If users ask about other topics, respond naturally and conversationally. backstory: > - You are a helpful and knowledgeable CrewAI expert. - You have extensive experience with the framework and its various components. - You are dedicated to assisting users in understanding and utilizing CrewAI for their agentic AI projects. - You are familiar with the latest features, best practices, and community resources related to CrewAI. - You are passionate about helping others build successful agentic AI solutions using CrewAI. - You stay up-to-date with the latest developments in the CrewAI ecosystem. - You are adept at explaining complex concepts in a clear and concise manner. - You are patient and willing to go the extra mile to ensure users grasp the intricacies of CrewAI. - You are always eager to share your expertise and contribute to the growth of the CrewAI community. \ No newline at end of file + You are a friendly AI assistant who can chat about various topics. + You're particularly knowledgeable about CrewAI but happy to have casual conversations too. + You remember what users tell you during the conversation. diff --git a/src/conversational_routing/crews/assistant_crew/config/tasks.yaml b/src/conversational_routing/crews/assistant_crew/config/tasks.yaml index 64610f0..ae8e088 100644 --- a/src/conversational_routing/crews/assistant_crew/config/tasks.yaml +++ b/src/conversational_routing/crews/assistant_crew/config/tasks.yaml @@ -1,11 +1,10 @@ answer_crewai_questions_task: agent: crewai_expert_agent description: > - Respond to user questions about the CrewAI framework. + Have a natural conversation with the user. 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requires-python = ">=3.10,<3.14" dependencies = [ "colorama>=0.4.6", - "crewai[tools]>=0.201.1,<1.0.0", + "crewai[tools]==0.201.1", "streamlit>=1.44.1", ] From e2c336eb7bd4c1245370b2b62abc2c272ba99294 Mon Sep 17 00:00:00 2001 From: tomhaddock-crewai Date: Thu, 4 Dec 2025 11:36:03 -0600 Subject: [PATCH 3/3] Implement conversation summarization in ChatFlow to enhance context management. Added logic to summarize older messages when history exceeds a defined threshold, while retaining recent messages in detail. Updated task descriptions to reflect the use of conversation summary and recent messages for improved continuity. --- .../crews/assistant_crew/config/tasks.yaml | 5 +- src/conversational_routing/main.py | 60 ++++++++++++++++++- 2 files changed, 62 insertions(+), 3 deletions(-) diff --git a/src/conversational_routing/crews/assistant_crew/config/tasks.yaml b/src/conversational_routing/crews/assistant_crew/config/tasks.yaml index ae8e088..f20c44e 100644 --- a/src/conversational_routing/crews/assistant_crew/config/tasks.yaml +++ b/src/conversational_routing/crews/assistant_crew/config/tasks.yaml @@ -2,9 +2,10 @@ answer_crewai_questions_task: agent: crewai_expert_agent description: > Have a natural conversation with the user. Respond appropriately to their message. - Remember context from the conversation history. + Use the context provided to maintain conversation continuity. + Previous context summary: {conversation_summary} + Recent messages: {conversation_history} Current message: {current_message} - Conversation history: {conversation_history} expected_output: > A helpful, conversational response that addresses what the user said. diff --git a/src/conversational_routing/main.py b/src/conversational_routing/main.py index 328fa32..6d9a799 100644 --- a/src/conversational_routing/main.py +++ b/src/conversational_routing/main.py @@ -4,21 +4,79 @@ import json from crewai.flow import Flow, start, persist +from litellm import completion from src.conversational_routing.crews.assistant_crew.assistant_crew import AssistantCrew + class ChatState(BaseModel): current_message: str = "" conversation_history: List[dict] = [] + conversation_summary: str = "" # Running summary of older context + summary_threshold: int = 8 # Summarize when history exceeds this + keep_recent: int = 4 # Keep this many recent messages in full @persist() class ChatFlow(Flow[ChatState]): + + def _summarize_conversation(self) -> None: + """ + Summarize older messages when conversation history exceeds threshold. + Keeps recent messages in full detail while compressing older context. + """ + history_length = len(self.state.conversation_history) + + if history_length <= self.state.summary_threshold: + return # No need to summarize yet + + # Calculate how many messages to summarize + messages_to_summarize = history_length - self.state.keep_recent + if messages_to_summarize <= 0: + return + + # Extract older messages to summarize + older_messages = self.state.conversation_history[:messages_to_summarize] + + # Format messages for summarization + formatted_messages = "\n".join([ + f"{msg['role'].upper()}: {msg['content']}" + for msg in older_messages + ]) + + # Include existing summary if present + existing_context = "" + if self.state.conversation_summary: + existing_context = f"Previous summary: {self.state.conversation_summary}\n\n" + + # Use lightweight LLM call for summarization + summary_prompt = f"""Summarize the following conversation context concisely, preserving key facts, user preferences, and important details mentioned. Keep it under 200 words. + +{existing_context}New messages to incorporate: +{formatted_messages} + +Concise summary:""" + + response = completion( + model="gpt-4o-mini", + messages=[{"role": "user", "content": summary_prompt}], + temperature=0.3, + max_tokens=300 + ) + + # Update summary and trim conversation history + self.state.conversation_summary = response.choices[0].message.content + self.state.conversation_history = self.state.conversation_history[messages_to_summarize:] + @start() def answer_message(self): + # Check if we need to summarize before processing + self._summarize_conversation() + # Here define the crew that will respond to the user message assistant_crew = AssistantCrew().crew().kickoff({ "current_message": self.state.current_message, - "conversation_history": self.state.conversation_history + "conversation_history": self.state.conversation_history, + "conversation_summary": self.state.conversation_summary }) response = assistant_crew.raw