v2.3.64

cookbook/claude/README.md

@@ -20,35 +20,51 @@ export ANTHROPIC_API_KEY=xxx
 ### 3. Install libraries
 
 ```shell
-pip install -U anthropic phidata duckduckgo-search duckdb yfinance exa_py
+pip install -U anthropic duckduckgo-search duckdb yfinance exa_py phidata
 ```
 
-### 4. Web search function calling
+### 4. Run Assistant
+
+- stream on
 
 ```shell
-python cookbook/claude/web_search.py
+python cookbook/claude/assistant.py
 ```
 
-### 5. YFinance function calling
+- stream off
 
 ```shell
-python cookbook/claude/finance.py
+python cookbook/claude/assistant_stream_off.py
 ```
 
-### 6. Structured output
+### 5. Run Assistant with Tools
+
+- Web search
 
 ```shell
-python cookbook/claude/structured_output.py
+python cookbook/claude/web_search.py
+```
+
+- YFinance
+
+```shell
+python cookbook/claude/finance.py
 ```
 
-### 7. Data Analyst
+- Data Analyst
 
 ```shell
 python cookbook/claude/data_analyst.py
 ```
 
-### 8. Exa Search
+- Exa Search
 
 ```shell
 python cookbook/claude/exa_search.py
 ```
+
+### 6. Run Assistant with Structured output
+
+```shell
+python cookbook/claude/structured_output.py
+```

cookbook/claude/exa_search.py

@@ -1,6 +1,12 @@
 from phi.assistant import Assistant
-from phi.llm.anthropic import Claude
 from phi.tools.exa import ExaTools
+from phi.tools.website import WebsiteTools
+from phi.llm.anthropic import Claude
 
-assistant = Assistant(llm=Claude(), tools=[ExaTools()], show_tool_calls=True)
-assistant.cli_app(markdown=True)
+assistant = Assistant(llm=Claude(), tools=[ExaTools(), WebsiteTools()], show_tool_calls=True)
+assistant.print_response(
+    "Produce this table: research chromatic homotopy theory."
+    "Access each link in the result outputting the summary for that article, its link, and keywords; "
+    "After the table output make conceptual ascii art of the overarching themes and constructions",
+    markdown=True,
+)

cookbook/claude/finance.py

@@ -3,9 +3,13 @@
 from phi.llm.anthropic import Claude
 
 assistant = Assistant(
-    llm=Claude(model="claude-3-opus-20240229"),
+    name="Finance Assistant",
+    llm=Claude(model="claude-3-haiku-20240307"),
     tools=[YFinanceTools(stock_price=True, analyst_recommendations=True, stock_fundamentals=True)],
     show_tool_calls=True,
+    description="You are an investment analyst that researches stock prices, analyst recommendations, and stock fundamentals.",
+    instructions=["Format your response using markdown and use tables to display data where possible."],
+    # debug_mode=True,
 )
-assistant.print_response("Share the NVDA stock price and some analyst recommendations", markdown=True)
-assistant.print_response("Summarize fundamentals for TSLA", markdown=True)
+assistant.print_response("Share the NVDA stock price and analyst recommendations", markdown=True)
+# assistant.print_response("Summarize fundamentals for TSLA", markdown=True)

cookbook/claude/web_search.py

@@ -6,6 +6,6 @@
     llm=Claude(model="claude-3-opus-20240229"),
     tools=[DuckDuckGo()],
     show_tool_calls=True,
-    debug_mode=True,
+    # debug_mode=True,
 )
 assistant.print_response("Share 1 story from france and 1 from germany?", markdown=True, stream=False)

cookbook/cohere/README.md

@@ -0,0 +1,48 @@
+# CohereChat function calling
+
+Currently "command-r" model supports function calling
+
+> Note: Fork and clone this repository if needed
+
+### 1. Create and activate a virtual environment
+
+```shell
+python3 -m venv ~/.venvs/aienv
+source ~/.venvs/aienv/bin/activate
+```
+
+### 2. Export your CohereChat API Key
+
+```shell
+export CO_API_KEY=xxx
+```
+
+### 3. Install libraries
+
+```shell
+pip install -U cohere duckduckgo-search yfinance exa_py phidata
+```
+
+### 4. Web search function calling
+
+```shell
+python cookbook/cohere/web_search.py
+```
+
+### 5. YFinance function calling
+
+```shell
+python cookbook/cohere/finance.py
+```
+
+### 6. Structured output
+
+```shell
+python cookbook/cohere/structured_output.py
+```
+
+### 7. Exa Search
+
+```shell
+python cookbook/cohere/exa_search.py
+```

cookbook/cohere/assistant.py

@@ -0,0 +1,9 @@
+from phi.assistant import Assistant
+from phi.llm.cohere import CohereChat
+
+assistant = Assistant(
+    llm=CohereChat(model="command-r"),
+    description="You help people with their health and fitness goals.",
+    debug_mode=True,
+)
+assistant.print_response("Share a quick healthy breakfast recipe.", markdown=True)

cookbook/cohere/assistant_stream_off.py

@@ -0,0 +1,9 @@
+from phi.assistant import Assistant
+from phi.llm.cohere import CohereChat
+
+assistant = Assistant(
+    llm=CohereChat(model="command-r"),
+    description="You help people with their health and fitness goals.",
+    debug_mode=True,
+)
+assistant.print_response("Share a quick healthy breakfast recipe.", markdown=True, stream=False)

cookbook/cohere/data_analyst.py

@@ -0,0 +1,20 @@
+from phi.assistant import Assistant
+from phi.llm.cohere import CohereChat
+from phi.tools.duckdb import DuckDbTools
+
+duckdb_tools = DuckDbTools(create_tables=False, export_tables=False, summarize_tables=False)
+duckdb_tools.create_table_from_path(
+    path="https://phidata-public.s3.amazonaws.com/demo_data/IMDB-Movie-Data.csv", table="movies"
+)
+
+assistant = Assistant(
+    llm=CohereChat(model="command-r-plus"),
+    tools=[duckdb_tools],
+    show_tool_calls=True,
+    add_to_system_prompt="""
+    Here are the tables you have access to:
+    - movies: Contains information about movies from IMDB.
+    """,
+    # debug_mode=True,
+)
+assistant.print_response("What is the average rating of movies?", markdown=True, stream=False)

cookbook/cohere/exa_search.py

@@ -0,0 +1,12 @@
+from phi.assistant import Assistant
+from phi.tools.exa import ExaTools
+from phi.tools.website import WebsiteTools
+from phi.llm.cohere import CohereChat
+
+assistant = Assistant(llm=CohereChat(model="command-r-plus"), tools=[ExaTools(), WebsiteTools()], show_tool_calls=True)
+assistant.print_response(
+    "Produce this table: research chromatic homotopy theory."
+    "Access each link in the result outputting the summary for that article, its link, and keywords; "
+    "After the table output make conceptual ascii art of the overarching themes and constructions",
+    markdown=True,
+)

cookbook/cohere/finance.py

@@ -0,0 +1,14 @@
+from phi.assistant import Assistant
+from phi.tools.yfinance import YFinanceTools
+from phi.llm.cohere import CohereChat
+
+assistant = Assistant(
+    llm=CohereChat(model="command-r-plus"),
+    tools=[YFinanceTools(stock_price=True, analyst_recommendations=True, stock_fundamentals=True)],
+    show_tool_calls=True,
+    description="You are an investment analyst that researches stock prices, analyst recommendations, and stock fundamentals.",
+    instructions=["Format your response using markdown and use tables to display data where possible."],
+    # debug_mode=True,
+)
+assistant.print_response("Share the NVDA stock price and analyst recommendations", markdown=True)
+assistant.print_response("Summarize fundamentals for TSLA", markdown=True)

cookbook/cohere/structured_output.py

@@ -0,0 +1,26 @@
+from typing import List
+from pydantic import BaseModel, Field
+from rich.pretty import pprint
+from phi.assistant import Assistant
+from phi.llm.cohere import CohereChat
+
+
+class MovieScript(BaseModel):
+    setting: str = Field(..., description="Provide a nice setting for a blockbuster movie.")
+    ending: str = Field(..., description="Ending of the movie. If not available, provide a happy ending.")
+    genre: str = Field(
+        ..., description="Genre of the movie. If not available, select action, thriller or romantic comedy."
+    )
+    name: str = Field(..., description="Give a name to this movie")
+    characters: List[str] = Field(..., description="Name of characters for this movie.")
+    storyline: str = Field(..., description="3 sentence storyline for the movie. Make it exciting!")
+
+
+movie_assistant = Assistant(
+    llm=CohereChat(model="command-r"),
+    description="You help people write movie scripts.",
+    output_model=MovieScript,
+    debug_mode=True,
+)
+
+pprint(movie_assistant.run("New York"))

cookbook/cohere/web_search.py

@@ -0,0 +1,12 @@
+from phi.assistant import Assistant
+from phi.tools.duckduckgo import DuckDuckGo
+from phi.llm.cohere import CohereChat
+
+assistant = Assistant(
+    llm=CohereChat(model="command-r"),
+    tools=[DuckDuckGo()],
+    show_tool_calls=True,
+    instructions=["Format your response using markdown and use tables to display information where possible."],
+    debug_mode=True,
+)
+assistant.print_response("Share 1 story from france and 1 from germany?", markdown=True)

cookbook/groq/finance.py

@@ -0,0 +1,12 @@
+from phi.assistant import Assistant
+from phi.tools.yfinance import YFinanceTools
+from phi.llm.groq import Groq
+
+assistant = Assistant(
+    llm=Groq(model="mixtral-8x7b-32768"),
+    tools=[YFinanceTools(stock_price=True, analyst_recommendations=True, stock_fundamentals=True)],
+    show_tool_calls=True,
+    # debug_mode=True,
+)
+assistant.print_response("Share the NVDA stock price and analyst recommendations", markdown=True, stream=False)
+# assistant.print_response("Summarize fundamentals for TSLA", markdown=True, stream=False)

cookbook/groq/structured_output.py

@@ -0,0 +1,26 @@
+from typing import List
+from pydantic import BaseModel, Field
+from rich.pretty import pprint
+from phi.assistant import Assistant
+from phi.llm.groq import Groq
+
+
+class MovieScript(BaseModel):
+    setting: str = Field(..., description="Provide a nice setting for a blockbuster movie.")
+    ending: str = Field(..., description="Ending of the movie. If not available, provide a happy ending.")
+    genre: str = Field(
+        ..., description="Genre of the movie. If not available, select action, thriller or romantic comedy."
+    )
+    name: str = Field(..., description="Give a name to this movie")
+    characters: List[str] = Field(..., description="Name of characters for this movie.")
+    storyline: str = Field(..., description="3 sentence storyline for the movie. Make it exciting!")
+
+
+movie_assistant = Assistant(
+    llm=Groq(model="mixtral-8x7b-32768"),
+    description="You help people write movie scripts.",
+    output_model=MovieScript,
+    # debug_mode=True,
+)
+
+pprint(movie_assistant.run("New York"))

cookbook/groq/web_search.py

@@ -0,0 +1,11 @@
+from phi.assistant import Assistant
+from phi.tools.duckduckgo import DuckDuckGo
+from phi.llm.groq import Groq
+
+assistant = Assistant(
+    llm=Groq(model="mixtral-8x7b-32768"),
+    tools=[DuckDuckGo()],
+    show_tool_calls=True,
+    # debug_mode=True
+)
+assistant.print_response("Tell me about OpenAI Sora", markdown=True, stream=False)

cookbook/hermes2/assistant.py

@@ -1,8 +1,8 @@
 from phi.assistant import Assistant
-from phi.llm.ollama import Ollama
+from phi.llm.ollama import Hermes
 
 assistant = Assistant(
-    llm=Ollama(model="adrienbrault/nous-hermes2pro:Q8_0"),
+    llm=Hermes(model="adrienbrault/nous-hermes2pro:Q8_0"),
     description="You help people with their health and fitness goals.",
 )
 assistant.print_response("Share a quick healthy breakfast recipe.", markdown=True)

cookbook/hermes2/finance.py

@@ -7,5 +7,5 @@
     tools=[YFinanceTools(stock_price=True, analyst_recommendations=True, stock_fundamentals=True)],
     show_tool_calls=True,
 )
-assistant.print_response("Share the NVDA stock price and some analyst recommendations", markdown=True)
+assistant.print_response("Share the NVDA stock price and analyst recommendations", markdown=True)
 assistant.print_response("Summarize fundamentals for TSLA", markdown=True)

cookbook/knowledge/json.py

@@ -26,4 +26,4 @@
 )
 
 # Use the assistant
-assistant.print_response("Ask me about something from the knowledge base", markdown=True)
+assistant.print_response("Ask me about something from the knowledge base", markdown=True)

cookbook/pinecone/assistant.py

@@ -1,10 +1,11 @@
+import os
 import typer
+from typing import Optional
 from rich.prompt import Prompt
-from typing import Optional, List
+
 from phi.assistant import Assistant
 from phi.knowledge.pdf import PDFUrlKnowledgeBase
 from phi.vectordb.pineconedb import PineconeDB
-import os
 
 api_key = os.getenv("PINECONE_API_KEY")
 index_name = "recipes"
@@ -28,6 +29,7 @@
 # Comment out after first run
 # knowledge_base.load(recreate=False)
 
+
 def pdf_assistant(user: str = "user"):
     run_id: Optional[str] = None
 
@@ -55,5 +57,6 @@ def pdf_assistant(user: str = "user"):
             break
         assistant.print_response(message)
 
+
 if __name__ == "__main__":
     typer.run(pdf_assistant)

cookbook/teams/hackernews.py

@@ -1,7 +1,7 @@
 import json
 import httpx
 
-from phi.assistant.team import Assistant, Team
+from phi.assistant.team import Assistant
 from phi.utils.log import logger
 
 
@@ -95,5 +95,5 @@ def get_user_details(username: str) -> str:
     show_tool_calls=True,
 )
 
-team = Team(name="HackerNews", assistants=[hn_top_stories, hn_user_researcher], debug_mode=True)
-team.print_response("Tell me about the users with the top 2 stores on hackernews?", markdown=True)
+hn_assistant = Assistant(name="HackerNews Assistant", team=[hn_top_stories, hn_user_researcher], debug_mode=True)
+hn_assistant.print_response("Tell me about the users with the top 2 stores on hackernews?", markdown=True)