anthropic-models-phi-1205

cookbook/llms/claude/assistant_stream_off.py

@@ -6,5 +6,6 @@
  llm=Claude(model="claude-3-5-sonnet-20240620"),
  tools=[DuckDuckGo()],
  show_tool_calls=True,
+ debug_mode=True,
 )
 assistant.print_response("Whats happening in France?", markdown=True, stream=False)

cookbook/providers/claude/README.md

@@ -0,0 +1,64 @@
+# Anthropic Claude
+
+[Models overview](https://docs.anthropic.com/claude/docs/models-overview)
+
+> 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. Set your `ANTHROPIC_API_KEY`
+
+```shell
+export ANTHROPIC_API_KEY=xxx
+```
+
+### 3. Install libraries
+
+```shell
+pip install -U anthropic duckduckgo-search duckdb yfinance exa_py phidata
+```
+
+### 4. Run Assistant
+
+- stream on
+
+```shell
+python cookbook/llms/claude/assistant.py
+```
+
+- stream off
+
+```shell
+python cookbook/llms/claude/assistant_stream_off.py
+```
+
+### 5. Run Assistant with Tools
+
+- YFinance
+
+```shell
+python cookbook/llms/claude/finance.py
+```
+
+- Data Analyst
+
+```shell
+python cookbook/llms/claude/data_analyst.py
+```
+
+- Exa Search
+
+```shell
+python cookbook/llms/claude/exa_search.py
+```
+
+### 6. Run Assistant with Structured output
+
+```shell
+python cookbook/llms/claude/structured_output.py
+```

cookbook/providers/claude/agent.py

@@ -0,0 +1,10 @@
+from phi.agent import Agent
+from phi.tools.duckduckgo import DuckDuckGo
+from phi.model.anthropic import Claude
+
+assistant = Agent(
+ model=Claude(model="claude-3-5-sonnet-20240620"),
+ tools=[DuckDuckGo()],
+ show_tool_calls=True,
+)
+assistant.print_response("Whats happening in France", markdown=True)

cookbook/providers/claude/agent_stream_off.py

@@ -0,0 +1,18 @@
+from rich.pretty import pprint
+from phi.agent import Agent
+from phi.tools.duckduckgo import DuckDuckGo
+from phi.model.anthropic import Claude
+
+agent = Agent(
+ model=Claude(model="claude-3-5-sonnet-20240620"),
+ tools=[DuckDuckGo()],
+ show_tool_calls=True,
+ debug_mode=True,
+)
+# agent.print_response("Whats happening in France?", markdown=True, stream=False)
+
+response = agent.run("Whats happening in France?", markdown=True, stream=False)
+
+pprint(response)
+
+

cookbook/providers/claude/basic.py

@@ -0,0 +1,17 @@
+from phi.agent import Agent
+from phi.model.anthropic import Claude
+
+# agent = Agent(
+# llm=Claude(model="claude-3-haiku-20240307"),
+# description="You help people with their health and fitness goals.",
+# debug_mode=True,
+# )
+# agent.print_response("Share a quick healthy breakfast recipe.", markdown=True)
+
+
+agent = Agent(
+ model=Claude(model="claude-3-5-sonnet-20240620"),
+ description="You help people with their health and fitness goals.",
+ debug_mode=True,
+)
+agent.print_response("Share a quick healthy breakfast recipe.", markdown=True)

cookbook/providers/claude/basic_stream_off.py

@@ -0,0 +1,15 @@
+from rich.pretty import pprint
+from phi.agent import Agent
+from phi.model.anthropic import Claude
+
+agent = Agent(
+ model=Claude(model="claude-3-5-sonnet-20240620"),
+ description="You help people with their health and fitness goals.",
+ debug_mode=True,
+)
+# agent.print_response("Share a quick healthy breakfast recipe.", markdown=True, stream=False)
+
+
+response = agent.run("Share a quick healthy breakfast recipe.", markdown=True, stream=False)
+
+pprint(response)

cookbook/providers/claude/data_analyst.py

@@ -0,0 +1,20 @@
+from phi.assistant import Assistant
+from phi.llm.anthropic import Claude
+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=Claude(model="claude-3-opus-20240229"),
+ 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/providers/claude/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.anthropic import Claude
+
+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/providers/claude/finance.py

@@ -0,0 +1,15 @@
+from phi.assistant import Assistant
+from phi.tools.yfinance import YFinanceTools
+from phi.llm.anthropic import Claude
+
+assistant = Assistant(
+ llm=Claude(model="claude-3-5-sonnet-20240620"),
+ 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=["Use tables to display data where possible."],
+ markdown=True,
+ # debug_mode=True,
+)
+# assistant.print_response("Share the NVDA stock price and analyst recommendations")
+assistant.print_response("Summarize fundamentals for TSLA")

cookbook/providers/claude/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.anthropic import Claude
+
+
+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=Claude(model="claude-3-opus-20240229"),
+ description="You help people write movie scripts.",
+ output_model=MovieScript,
+ # debug_mode=True,
+)
+
+pprint(movie_assistant.run("New York"))

cookbook/providers/openai/agent_stream_off.py

@@ -0,0 +1,16 @@
+from rich.pretty import pprint
+from phi.agent import Agent
+from phi.model.openai import OpenAIChat
+from phi.tools.duckduckgo import DuckDuckGo
+
+agent = Agent(
+ model=OpenAIChat(model="gpt-4o"),
+ tools=[DuckDuckGo()],
+ show_tool_calls=True,
+ debug_mode=True,
+)
+agent.print_response("Whats happening in France?", markdown=True, stream=False)
+
+# response = agent.run("Whats happening in France?", markdown=True, stream=False)
+#
+# pprint(response)

phi/llm/anthropic/claude.py

@@ -119,6 +119,9 @@ def invoke(self, messages: List[Message]) -> AnthropicMessage:
  else:
  api_messages.append({"role": message.role, "content": message.content or ""})
 
+ logger.debug(f"Messages: {messages}")
+ logger.debug(f"System Messages: {system_messages}")
+
  api_kwargs["system"] = " ".join(system_messages)
 
  if self.tools:

phi/model/anthropic/__init__.py

@@ -0,0 +1 @@
+from phi.model.anthropic.claude import Claude