Update Agno Version

Author: ysolanky

api/routes/playground.py

@@ -4,17 +4,34 @@
 
 from agents.sage import get_sage
 from agents.scholar import get_scholar
+from teams.finance_researcher_team import get_finance_researcher_team
+from teams.multi_language_team import get_multi_language_team
+from workflows.blog_post_generator import get_blog_post_generator
+from workflows.investment_report_generator import get_investment_report_generator
 from workspace.dev_resources import dev_fastapi
 
 ######################################################
 ## Router for the Playground Interface
 ######################################################
 
+# Agents
 sage_agent = get_sage(debug_mode=True)
 scholar_agent = get_scholar(debug_mode=True)
 
+# Teams
+finance_researcher_team = get_finance_researcher_team(debug_mode=True)
+multi_language_team = get_multi_language_team(debug_mode=True)
+
+# Workflows
+blog_post_generator = get_blog_post_generator(debug_mode=True)
+investment_report_generator = get_investment_report_generator(debug_mode=True)
+
 # Create a playground instance
-playground = Playground(agents=[sage_agent, scholar_agent])
+playground = Playground(
+    agents=[sage_agent, scholar_agent],
+    teams=[finance_researcher_team, multi_language_team],
+    workflows=[blog_post_generator, investment_report_generator],
+)
 
 # Register the endpoint where playground routes are served with agno.com
 if getenv("RUNTIME_ENV") == "dev":

pyproject.toml

@@ -6,19 +6,24 @@ readme = "README.md"
 authors = [{ name = "Agno", email = "hello@agno.com" }]
 
 dependencies = [
-  "agno[aws]==1.2.4",
+  "agno[aws]==1.3.5",
   "alembic",
   "beautifulsoup4",
   "duckduckgo-search",
   "exa_py",
   "fastapi[standard]",
+  "googlesearch-python",
+  "lxml_html_clean",
+  "newspaper4k",
   "openai",
   "pgvector",
   "psycopg[binary]",
+  "pycountry",
   "sqlalchemy",
   "streamlit",
   "tiktoken",
   "typer",
+  "yfinance",
 ]
 
 [project.optional-dependencies]

requirements.txt

@@ -1,6 +1,6 @@
 # This file was autogenerated by uv via the following command:
-#    ./scripts/generate_requirements.sh upgrade
-agno==1.2.4
+#    ./scripts/generate_requirements.sh
+agno==1.3.5
 agno-aws==0.0.1
 agno-docker==0.0.1
 alembic==1.15.1
@@ -25,8 +25,12 @@ email-validator==2.2.0
 exa-py==1.9.1
 fastapi==0.115.12
 fastapi-cli==0.0.7
+feedparser==6.0.11
+filelock==3.18.0
+frozendict==2.4.6
 gitdb==4.0.12
 gitpython==3.1.44
+googlesearch-python==1.3.0
 h11==0.14.0
 httpcore==1.0.7
 httptools==0.6.4
@@ -36,26 +40,34 @@ iniconfig==2.1.0
 jinja2==3.1.6
 jiter==0.9.0
 jmespath==1.0.1
+joblib==1.4.2
 jsonschema==4.23.0
 jsonschema-specifications==2024.10.1
 lxml==5.3.1
+lxml-html-clean==0.4.2
 mako==1.3.9
 markdown-it-py==3.0.0
 markupsafe==3.0.2
 mdurl==0.1.2
+multitasking==0.0.11
 narwhals==1.32.0
+newspaper4k==0.9.3.1
+nltk==3.9.1
 numpy==2.2.4
 openai==1.68.2
 packaging==24.2
 pandas==2.2.3
+peewee==3.17.9
 pgvector==0.4.0
 pillow==11.1.0
+platformdirs==4.3.7
 pluggy==1.5.0
 primp==0.14.0
 protobuf==5.29.4
 psycopg==3.2.6
 psycopg-binary==3.2.6
 pyarrow==19.0.1
+pycountry==24.6.1
 pydantic==2.10.6
 pydantic-core==2.27.2
 pydantic-settings==2.8.1
@@ -71,10 +83,12 @@ pyyaml==6.0.2
 referencing==0.36.2
 regex==2024.11.6
 requests==2.32.3
+requests-file==2.1.0
 rich==13.9.4
 rich-toolkit==0.13.2
 rpds-py==0.23.1
 s3transfer==0.11.4
+sgmllib3k==1.0.0
 shellingham==1.5.4
 six==1.17.0
 smmap==5.0.2
@@ -85,6 +99,7 @@ starlette==0.46.1
 streamlit==1.43.2
 tenacity==9.0.0
 tiktoken==0.9.0
+tldextract==5.2.0
 toml==0.10.2
 tomli==2.2.1
 tornado==6.4.2
@@ -97,3 +112,4 @@ uvicorn==0.34.0
 uvloop==0.21.0
 watchfiles==1.0.4
 websockets==15.0.1
+yfinance==0.2.55

teams/__init__.py

@@ -0,0 +1,99 @@
+from textwrap import dedent
+
+from agno.agent import Agent
+from agno.models.openai import OpenAIChat
+from agno.storage.postgres import PostgresStorage
+from agno.team.team import Team
+from agno.tools.duckduckgo import DuckDuckGoTools
+from agno.tools.yfinance import YFinanceTools
+
+from db.session import db_url
+from teams.settings import team_settings
+
+finance_agent = Agent(
+    name="Finance Agent",
+    role="Analyze financial data",
+    agent_id="finance-agent",
+    model=OpenAIChat(
+        id=team_settings.gpt_4,
+        max_tokens=team_settings.default_max_completion_tokens,
+        temperature=team_settings.default_temperature,
+    ),
+    tools=[YFinanceTools(enable_all=True, cache_results=True)],
+    instructions=dedent("""\
+        You are a seasoned Wall Street analyst with deep expertise in market analysis! 📊
+
+        Follow these steps for comprehensive financial analysis:
+        1. Market Overview
+        - Latest stock price
+        - 52-week high and low
+        2. Financial Deep Dive
+        - Key metrics (P/E, Market Cap, EPS)
+        3. Professional Insights
+        - Analyst recommendations breakdown
+        - Recent rating changes
+
+        4. Market Context
+        - Industry trends and positioning
+        - Competitive analysis
+        - Market sentiment indicators
+
+        Your reporting style:
+        - Begin with an executive summary
+        - Use tables for data presentation
+        - Include clear section headers
+        - Add emoji indicators for trends (📈 📉)
+        - Highlight key insights with bullet points
+        - Compare metrics to industry averages
+        - Include technical term explanations
+        - End with a forward-looking analysis
+
+        Risk Disclosure:
+        - Always highlight potential risk factors
+        - Note market uncertainties
+        - Mention relevant regulatory concerns
+    """),
+    storage=PostgresStorage(table_name="finance_agent", db_url=db_url, auto_upgrade_schema=True),
+    add_history_to_messages=True,
+    num_history_responses=5,
+    add_datetime_to_instructions=True,
+    markdown=True,
+)
+
+web_agent = Agent(
+    name="Web Agent",
+    role="Search the web for information",
+    model=OpenAIChat(id=team_settings.gpt_4),
+    tools=[DuckDuckGoTools(cache_results=True)],
+    agent_id="web-agent",
+    instructions=[
+        "You are an experienced web researcher and news analyst!",
+    ],
+    show_tool_calls=True,
+    markdown=True,
+    storage=PostgresStorage(table_name="web_agent", db_url=db_url, auto_upgrade_schema=True),
+)
+
+
+def get_finance_researcher_team(debug_mode: bool = False):
+    return Team(
+        name="Finance Researcher Team",
+        team_id="financial-researcher-team",
+        mode="route",
+        members=[web_agent, finance_agent],
+        instructions=[
+            "You are a team of finance researchers!",
+        ],
+        description="You are a team of finance researchers!",
+        model=OpenAIChat(id=team_settings.gpt_4),
+        success_criteria="A good financial research report.",
+        enable_agentic_context=True,
+        expected_output="A good financial research report.",
+        storage=PostgresStorage(
+            table_name="finance_researcher_team",
+            db_url=db_url,
+            mode="team",
+            auto_upgrade_schema=True,
+        ),
+        debug_mode=debug_mode,
+    )

teams/finance_researcher_team.py

@@ -0,0 +1,74 @@
+from agno.agent import Agent
+from agno.models.openai import OpenAIChat
+from agno.storage.postgres import PostgresStorage
+from agno.team.team import Team
+
+from db.session import db_url
+from teams.settings import team_settings
+
+japanese_agent = Agent(
+    name="Japanese Agent",
+    agent_id="japanese-agent",
+    role="You only answer in Japanese",
+    model=OpenAIChat(id="gpt-4o"),
+)
+chinese_agent = Agent(
+    name="Chinese Agent",
+    agent_id="chinese-agent",
+    role="You only answer in Chinese",
+    model=OpenAIChat(id="gpt-4o"),
+)
+spanish_agent = Agent(
+    name="Spanish Agent",
+    agent_id="spanish-agent",
+    role="You only answer in Spanish",
+    model=OpenAIChat(id="gpt-4o"),
+)
+french_agent = Agent(
+    name="French Agent",
+    agent_id="french-agent",
+    role="You only answer in French",
+    model=OpenAIChat(id="gpt-4o"),
+)
+german_agent = Agent(
+    name="German Agent",
+    agent_id="german-agent",
+    role="You only answer in German",
+    model=OpenAIChat(id="gpt-4o"),
+)
+
+
+def get_multi_language_team(debug_mode: bool = False):
+    return Team(
+        name="Multi Language Team",
+        mode="route",
+        team_id="multi-language-team",
+        model=OpenAIChat(id=team_settings.gpt_4),
+        members=[
+            spanish_agent,
+            japanese_agent,
+            french_agent,
+            german_agent,
+            chinese_agent,
+        ],
+        description="You are a language router that directs questions to the appropriate language agent.",
+        instructions=[
+            "Identify the language of the user's question and direct it to the appropriate language agent.",
+            "Let the language agent answer the question in the language of the user's question.",
+            "The the user asks a question in English, respond directly in English with:",
+            "If the user asks in a language that is not English or your don't have a member agent for that language, respond in English with:",
+            "'I only answer in the following languages: English, Spanish, Japanese, Chinese, French and German. Please ask your question in one of these languages.'",
+            "Always check the language of the user's input before routing to an agent.",
+            "For unsupported languages like Italian, respond in English with the above message.",
+        ],
+        markdown=True,
+        show_tool_calls=True,
+        show_members_responses=True,
+        storage=PostgresStorage(
+            table_name="multi_language_team",
+            db_url=db_url,
+            mode="team",
+            auto_upgrade_schema=True,
+        ),
+        debug_mode=debug_mode,
+    )

teams/multi_language_team.py

@@ -0,0 +1,18 @@
+from pydantic_settings import BaseSettings
+
+
+class TeamSettings(BaseSettings):
+    """Team settings that can be set using environment variables.
+
+    Reference: https://pydantic-docs.helpmanual.io/usage/settings/
+    """
+
+    gpt_4_mini: str = "gpt-4o-mini"
+    gpt_4: str = "gpt-4o"
+    embedding_model: str = "text-embedding-3-small"
+    default_max_completion_tokens: int = 16000
+    default_temperature: float = 0
+
+
+# Create an TeamSettings object
+team_settings = TeamSettings()