Update cohere

cookbook/claude/finance.py

@@ -9,7 +9,7 @@
     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,
+    # 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/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

@@ -1,6 +1,12 @@
 from phi.assistant import Assistant
-from phi.llm.cohere import CohereChat
 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"), tools=[ExaTools()], show_tool_calls=True)
-assistant.cli_app(markdown=True)
+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

@@ -3,9 +3,12 @@
 from phi.llm.cohere import CohereChat
 
 assistant = Assistant(
-    llm=CohereChat(model="command-r"),
+    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

@@ -20,7 +20,7 @@ class MovieScript(BaseModel):
     llm=CohereChat(model="command-r"),
     description="You help people write movie scripts.",
     output_model=MovieScript,
-    # debug_mode=True,
+    debug_mode=True,
 )
 
 pprint(movie_assistant.run("New York"))

cookbook/cohere/web_search.py

@@ -2,5 +2,11 @@
 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)
+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)

phi/assistant/assistant.py

@@ -1,4 +1,5 @@
 import json
+from os import getenv
 from textwrap import dedent
 from uuid import uuid4
 from typing import List, Any, Optional, Dict, Iterator, Callable, Union, Type, Tuple, Literal
@@ -202,7 +203,7 @@ class Assistant(BaseModel):
     # debug_mode=True enables debug logs
     debug_mode: bool = False
     # monitoring=True logs Assistant runs on phidata.com
-    monitoring: bool = False
+    monitoring: bool = getenv("PHI_MONITORING", "false").lower() == "true"
 
     model_config = ConfigDict(arbitrary_types_allowed=True)