admin-valentin/awesome-llm-apps
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

AI Personalized Learning Agent: phidata + googledocs3

Browse source
This commit is contained in:
Madhu 2025-01-08 21:29:15 +05:30
parent 19fbdd18f2
commit 0d2f04f390
1 changed files with 10 additions and 12 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

22
ai_agent_tutorials/ai_personal_learning_agent/ai_personal_learning_agent.py
View file

@ -47,14 +47,12 @@ except Exception as e:
knowledge_agent = Agent(
name="KnowledgeBuilder",
role="Research and Knowledge Specialist",
model=OpenAIChat(id="gpt-4o"),
tools=[google_docs_tool, DuckDuckGo()],
model=OpenAIChat(id="gpt-4o", api_key=st.session_state['openai_api_key']),
tools=[google_docs_tool],
instructions=[
"Research the given topic thoroughly using internet sources.",
"Use the DuckDuckGo search tool to find up-to-date information and resources.",
"Create a comprehensive knowledge base that covers fundamental concepts, advanced topics, and current developments.",
"Create a comprehensive knowledge base that covers fundamental concepts, advanced topics, and current developments of the given topic.",
"Include key terminology, core principles, and practical applications and make it as a detailed report that anyone who's starting out can read and get maximum value out of it.",
"Always include sources and citations for your findings. DONT FORGET TO CREATE THE GOOGLE DOCUMENT.",
"Make sure it is formatted in a way that is easy to read and understand. DONT FORGET TO CREATE THE GOOGLE DOCUMENT.",
"Open a new Google Doc and write down the response of the agent neatly with great formatting and structure in it. **Include the Google Doc link in your response.**",
],
show_tool_calls=True,
@ -65,7 +63,7 @@ knowledge_agent = Agent(
roadmap_agent = Agent(
name="RoadmapArchitect",
role="Learning Path Designer",
model=OpenAIChat(id="gpt-4o"),
model=OpenAIChat(id="gpt-4o", api_key=st.session_state['openai_api_key']),
tools=[google_docs_tool],
instructions=[
"Using the knowledge base for the given topic, create a detailed learning roadmap.",
@ -76,15 +74,15 @@ roadmap_agent = Agent(
],
show_tool_calls=True,
markdown=True,
markdown=True
)
# Create the ResourceCurator agent
resource_agent = Agent(
name="ResourceCurator",
role="Learning Resource Specialist",
model=OpenAIChat(id="gpt-4o"),
tools=[google_docs_tool, ArxivToolkit(), DuckDuckGo()],
model=OpenAIChat(id="gpt-4o", api_key=st.session_state['openai_api_key']),
tools=[google_docs_tool, ArxivToolkit(), DuckDuckGo(fixed_max_results=10)],
instructions=[
"Find and validate high-quality learning resources for the given topic.",
"Use the DuckDuckGo search tool to find current and relevant learning materials.",
@ -101,8 +99,8 @@ resource_agent = Agent(
practice_agent = Agent(
name="PracticeDesigner",
role="Exercise Creator",
model=OpenAIChat(id="gpt-4o"),
tools=[google_docs_tool, DuckDuckGo()],
model=OpenAIChat(id="gpt-4o", api_key=st.session_state['openai_api_key']),
tools=[google_docs_tool, DuckDuckGo(fixed_max_results=10)],
instructions=[
"Create comprehensive practice materials for the given topic.",
"Use the DuckDuckGo search tool to find example problems and real-world applications.",