v2.5.7

agents/finance.py

@@ -19,6 +19,7 @@ def get_finance_agent(
 ) -> Agent:
     return Agent(
         name="Finance Agent",
+        role="Analyze financial data",
         agent_id="finance-agent",
         session_id=session_id,
         user_id=user_id,
@@ -28,14 +29,15 @@ def get_finance_agent(
             temperature=agent_settings.default_temperature,
         ),
         tools=[YFinanceTools(enable_all=True)],
-        description="You are a finance agent",
-        instructions=["Use tables where possible"],
-        markdown=True,
+        description="You are a financial agent with the special skill of analyzing complex financial information.",
+        instructions=[
+            "Always use tables to display data",
+            "Aim to wow the user with your knowledge and expertise.",
+        ],
+        storage=finance_agent_storage,
         add_history_to_messages=True,
         num_history_responses=5,
         add_datetime_to_instructions=True,
-        storage=finance_agent_storage,
-        # Enable monitoring on phidata.app
-        monitoring=True,
+        markdown=True,
         debug_mode=debug_mode,
     )

agents/research.py

@@ -20,6 +20,7 @@ def get_research_agent(
 ) -> Agent:
     return Agent(
         name="Research Agent",
+        role="Write research reports for the New York Times",
         agent_id="research-agent",
         session_id=session_id,
         user_id=user_id,
@@ -29,14 +30,13 @@ def get_research_agent(
             temperature=agent_settings.default_temperature,
         ),
         tools=[ExaTools(type="keyword")],
-        description=dedent("""\
-        You are a Research Agent that has the special skill of writing New York Times worthy articles.
-        If you can directly respond to the user, do so. If the user asks for a report or provides a topic, follow the instructions below.
-        """),
+        description="You are a Research Agent that has the special skill of writing New York Times worthy articles.",
         instructions=[
-            "For the provided topic, run 3 different searches.",
-            "Read the results carefully and prepare a NYT worthy article.",
+            "If the user asks for a report or provides a topic, break down the topic into 3 different searches.",
+            "For each search, run a search and read the results carefully.",
+            "Prepare a NYT worthy article based on the results of the searches.",
             "Focus on facts and make sure to provide references.",
+            "Aim to wow the user with your knowledge and expertise.",
         ],
         expected_output=dedent("""\
         Your articles should be engaging, informative, well-structured and in markdown format. They should follow the following structure:

agents/web_search.py

@@ -20,8 +20,8 @@ def get_web_search_agent(
 ) -> Agent:
     return Agent(
         name="Web Search Agent",
-        agent_id="web-search-agent",
         role="Search the web for information",
+        agent_id="web-search-agent",
         session_id=session_id,
         user_id=user_id,
         model=OpenAIChat(
@@ -30,13 +30,15 @@ def get_web_search_agent(
             temperature=agent_settings.default_temperature,
         ),
         tools=[SerpApiTools()],
-        description="You are a Web Search Agent that has the special skill of searching the web for information.",
+        description="You are a Web Search Agent that has the special skill of searching the web for information and presenting the results in a structured manner.",
         instructions=[
-            "If you can directly answer the user's question, do so.",
-            "Otherwise, search the web for information.",
-            "Important: \n" " - Focus on legitimate sources",
-            " - Always provide sources and the links to the information you used to answer the question",
+            "To answer the user's question, first search the web for information by breaking down the user's question into smaller queries.",
+            "Make sure you cover all the aspects of the question.",
+            "Important: \n"
+            " - Focus on legitimate sources\n"
+            " - Always provide sources and the links to the information you used to answer the question\n"
             " - If you cannot find the answer, say so and ask the user to provide more details.",
+            "Aim to wow the user with your knowledge and expertise.",
         ],
         expected_output=dedent("""\
         Your answer should be in the following format:
@@ -46,12 +48,10 @@ def get_web_search_agent(
         ### Sources
         {provide the sources and links to the information you used to answer the question}
         """),
-        markdown=True,
+        storage=web_search_agent_storage,
         add_history_to_messages=True,
         num_history_responses=5,
         add_datetime_to_instructions=True,
-        storage=web_search_agent_storage,
-        # Enable monitoring on phidata.app
-        monitoring=True,
+        markdown=True,
         debug_mode=debug_mode,
     )

agents/youtube.py

@@ -19,6 +19,7 @@ def get_youtube_agent(
 ) -> Agent:
     return Agent(
         name="YouTube Agent",
+        role="Answer questions about YouTube videos",
         agent_id="youtube-agent",
         session_id=session_id,
         user_id=user_id,
@@ -28,7 +29,14 @@ def get_youtube_agent(
             temperature=agent_settings.default_temperature,
         ),
         tools=[YouTubeTools()],
-        description="You are a YouTube agent. Obtain the captions of a YouTube video and answer questions.",
+        description="You are a YouTube agent that has the special skill of understanding YouTube videos and answering questions about them.",
+        instructions=[
+            "When the user asks about a video, confirm that they have provided a valid YouTube URL. If not, ask them for it.",
+            "Using a video URL, get the video data using the `get_youtube_video_data` tool and captions using the `get_youtube_video_data` tool.",
+            "Using the data and captions, answer the user's question.",
+            "If you cannot find the answer in the video, say so and ask the user to provide more details.",
+            "Aim to wow the user with your knowledge and expertise.",
+        ],
         markdown=True,
         add_history_to_messages=True,
         num_history_responses=5,

api/routes/playground.py

@@ -16,7 +16,7 @@
 youtube_agent = get_youtube_agent(debug_mode=True)
 
 # Create a playground instance
-playground = Playground(agents=[finance_agent, research_agent, web_search_agent, youtube_agent])
+playground = Playground(agents=[research_agent, web_search_agent, finance_agent, youtube_agent])
 # Log the playground endpoint with phidata.app
 if getenv("RUNTIME_ENV") == "dev":
     playground.create_endpoint("http://localhost:8000")

pyproject.toml

@@ -17,7 +17,7 @@ dependencies = [
   "nest_asyncio",
   "openai",
   "pgvector",
-  "phidata[aws]==2.5.3",
+  "phidata[aws]==2.5.7",
   "pillow",
   "psycopg[binary]",
   "pypdf",

requirements.txt

@@ -4,8 +4,8 @@ alembic==1.13.3
 annotated-types==0.7.0
 anyio==4.6.2.post1
 beautifulsoup4==4.12.3
-boto3==1.35.41
-botocore==1.35.41
+boto3==1.35.43
+botocore==1.35.43
 certifi==2024.8.30
 charset-normalizer==3.4.0
 click==8.1.7
@@ -16,7 +16,6 @@ duckdb==1.1.2
 duckduckgo-search==6.3.2
 email-validator==2.2.0
 exa-py==1.4.0
-exceptiongroup==1.2.2
 fastapi==0.115.2
 fastapi-cli==0.0.5
 frozendict==2.4.6
@@ -26,7 +25,7 @@ google-search-results==2.4.2
 h11==0.14.0
 html5lib==1.1
 httpcore==1.0.6
-httptools==0.6.2
+httptools==0.6.4
 httpx==0.27.2
 idna==3.10
 iniconfig==2.0.0
@@ -42,22 +41,22 @@ multitasking==0.0.11
 mypy==1.12.0
 mypy-extensions==1.0.0
 nest-asyncio==1.6.0
-numpy==2.0.2
-openai==1.51.2
+numpy==2.1.2
+openai==1.52.0
 packaging==24.1
 pandas==2.2.3
 peewee==3.17.7
 pgvector==0.3.5
-phidata==2.5.3
+phidata==2.5.7
 pillow==11.0.0
 platformdirs==4.3.6
 pluggy==1.5.0
 primp==0.6.4
-psycopg==3.1.18
-psycopg-binary==3.1.18
+psycopg==3.1.19
+psycopg-binary==3.1.19
 pydantic==2.9.2
 pydantic-core==2.23.4
-pydantic-settings==2.5.2
+pydantic-settings==2.6.0
 pygments==2.18.0
 pypdf==5.0.1
 pytest==8.3.3
@@ -70,7 +69,7 @@ pyyaml==6.0.2
 regex==2024.9.11
 requests==2.32.3
 rich==13.9.2
-ruff==0.6.9
+ruff==0.7.0
 s3transfer==0.10.3
 shellingham==1.5.4
 six==1.16.0
@@ -84,11 +83,11 @@ tomli==2.0.2
 tqdm==4.66.5
 typer==0.12.5
 types-beautifulsoup4==4.12.0.20240907
-types-html5lib==1.1.11.20240806
+types-html5lib==1.1.11.20241018
 types-pillow==10.2.0.20240822
 typing-extensions==4.12.2
 tzdata==2024.2
-urllib3==1.26.20
+urllib3==2.2.3
 uvicorn==0.32.0
 uvloop==0.21.0
 watchfiles==0.24.0