v2.5.32

cookbook/providers/ollama_tools/agent.py

@@ -5,7 +5,7 @@
 from phi.tools.yfinance import YFinanceTools
 
 agent = Agent(
-    model=OllamaTools(id="llama3.2"),
+    model=OllamaTools(id="llama3.1:8b"),
     tools=[YFinanceTools(stock_price=True)],
     show_tool_calls=True,
     markdown=True,

cookbook/providers/ollama_tools/agent_stream.py

@@ -6,7 +6,7 @@
 from phi.tools.yfinance import YFinanceTools
 
 agent = Agent(
-    model=OllamaTools(id="llama3.2"),
+    model=OllamaTools(id="llama3.1:8b"),
     tools=[YFinanceTools(stock_price=True)],
     instructions=["Use tables where possible."],
     markdown=True,

cookbook/providers/ollama_tools/agent_team.py

@@ -6,7 +6,7 @@
 web_agent = Agent(
     name="Web Agent",
     role="Search the web for information",
-    model=OllamaTools(id="llama3.2"),
+    model=OllamaTools(id="llama3.1:8b"),
     tools=[DuckDuckGo()],
     instructions=["Always include sources"],
     show_tool_calls=True,
@@ -16,7 +16,7 @@
 finance_agent = Agent(
     name="Finance Agent",
     role="Get financial data",
-    model=OllamaTools(id="llama3.2"),
+    model=OllamaTools(id="llama3.1:8b"),
     tools=[YFinanceTools(stock_price=True, analyst_recommendations=True, company_info=True)],
     instructions=["Use tables to display data"],
     show_tool_calls=True,

cookbook/providers/ollama_tools/basic.py

@@ -1,7 +1,7 @@
 from phi.agent import Agent, RunResponse  # noqa
 from phi.model.ollama import OllamaTools
 
-agent = Agent(model=OllamaTools(id="llama3.2"), markdown=True)
+agent = Agent(model=OllamaTools(id="llama3.1:8b"), markdown=True)
 
 # Get the response in a variable
 # run: RunResponse = agent.run("Share a 2 sentence horror story")

cookbook/providers/ollama_tools/basic_stream.py

@@ -2,7 +2,7 @@
 from phi.agent import Agent, RunResponse  # noqa
 from phi.model.ollama import OllamaTools
 
-agent = Agent(model=OllamaTools(id="llama3.2"), markdown=True)
+agent = Agent(model=OllamaTools(id="llama3.1:8b"), markdown=True)
 
 # Get the response in a variable
 # run_response: Iterator[RunResponse] = agent.run("Share a 2 sentence horror story", stream=True)

cookbook/providers/ollama_tools/data_analyst.py

@@ -11,7 +11,7 @@
 )
 
 agent = Agent(
-    model=OllamaTools(id="llama3.2"),
+    model=OllamaTools(id="llama3.1:8b"),
     tools=[duckdb_tools],
     markdown=True,
     show_tool_calls=True,

cookbook/providers/ollama_tools/finance_agent.py

@@ -1,17 +1,15 @@
-"""Run `pip install yfinance` to install dependencies."""
+"""Run `pip install yfinance ollama phidata` to install dependencies."""
 
 from phi.agent import Agent
 from phi.model.ollama import OllamaTools
 from phi.tools.yfinance import YFinanceTools
 
 agent = Agent(
-    model=OllamaTools(id="llama3.2"),
+    model=OllamaTools(id="llama3.1:8b"),
     tools=[YFinanceTools(stock_price=True, analyst_recommendations=True, stock_fundamentals=True)],
     show_tool_calls=True,
-    description="You are an investment analyst that researches stocks and helps users make informed decisions.",
-    instructions=["Use tables to display data where possible."],
+    instructions=["Use tables to display data"],
     markdown=True,
 )
 
-# agent.print_response("Share the NVDA stock price and analyst recommendations", stream=True)
-agent.print_response("Summarize fundamentals for TSLA", stream=True)
+agent.print_response("Share fundamentals and analyst recommendations for TSLA in a table", stream=True)

cookbook/providers/ollama_tools/knowledge.py

@@ -14,7 +14,7 @@
 knowledge_base.load(recreate=False)  # Comment out after first run
 
 agent = Agent(
-    model=OllamaTools(id="llama3.2"),
+    model=OllamaTools(id="llama3.1:8b"),
     knowledge_base=knowledge_base,
     use_tools=True,
     show_tool_calls=True,

cookbook/providers/ollama_tools/storage.py

@@ -8,7 +8,7 @@
 db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
 
 agent = Agent(
-    model=OllamaTools(id="llama3.2"),
+    model=OllamaTools(id="llama3.1:8b"),
     storage=PgAgentStorage(table_name="agent_sessions", db_url=db_url),
     tools=[DuckDuckGo()],
     add_history_to_messages=True,

cookbook/providers/ollama_tools/structured_output.py

@@ -18,7 +18,7 @@ class MovieScript(BaseModel):
 
 # Agent that uses JSON mode
 movie_agent = Agent(
-    model=OllamaTools(id="llama3.2"),
+    model=OllamaTools(id="llama3.1:8b"),
     description="You write movie scripts.",
     response_model=MovieScript,
 )

cookbook/providers/ollama_tools/web_search.py

@@ -4,5 +4,5 @@
 from phi.model.ollama import OllamaTools
 from phi.tools.duckduckgo import DuckDuckGo
 
-agent = Agent(model=OllamaTools(id="llama3.2"), tools=[DuckDuckGo()], show_tool_calls=True, markdown=True)
+agent = Agent(model=OllamaTools(id="llama3.1:8b"), tools=[DuckDuckGo()], show_tool_calls=True, markdown=True)
 agent.print_response("Whats happening in France?", stream=True)

phi/tools/duckduckgo.py

@@ -33,7 +33,7 @@ def __init__(
         if news:
             self.register(self.duckduckgo_news)
 
-    def duckduckgo_search(self, query: str, max_results: int = 5) -> str:
+    def duckduckgo_search(self, query: str, max_results: Optional[int] = 5) -> str:
         """Use this function to search DuckDuckGo for a query.
 
         Args:
@@ -47,7 +47,7 @@ def duckduckgo_search(self, query: str, max_results: int = 5) -> str:
         ddgs = DDGS(headers=self.headers, proxy=self.proxy, proxies=self.proxies, timeout=self.timeout)
         return json.dumps(ddgs.text(keywords=query, max_results=(self.fixed_max_results or max_results)), indent=2)
 
-    def duckduckgo_news(self, query: str, max_results: int = 5) -> str:
+    def duckduckgo_news(self, query: str, max_results: Optional[int] = 5) -> str:
         """Use this function to get the latest news from DuckDuckGo.
 
         Args:

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "phidata"
-version = "2.5.31"
+version = "2.5.32"
 description = "Build AI Agents with memory, knowledge and tools."
 requires-python = ">=3.7"
 readme = "README.md"