Rishabh/research assistant (#396)

python/examples/research_assistant/research_assistant_camelai/main.py

@@ -0,0 +1,67 @@
+import os
+import dotenv
+from colorama import Fore
+from camel.agents import ChatAgent
+from camel.configs import ChatGPTConfig
+from camel.messages import BaseMessage
+from camel.models import ModelFactory
+from camel.types import ModelPlatformType, ModelType
+from camel.utils import print_text_animated
+from composio_camel import ComposioToolSet, App, Action
+
+# Load environment variables
+dotenv.load_dotenv()
+
+# Initialize the language model with OpenAI API key and model name
+api_key = os.environ["OPENAI_API_KEY"]
+
+# Setup tools using ComposioToolSet
+composio_toolset = ComposioToolSet()
+# tools = composio_toolset.get_tools(apps=[App.SERPAPI])
+tools = composio_toolset.get_actions(actions=[Action.SERPAPI_SEARCH])
+
+# Configure the assistant model
+assistant_model_config = ChatGPTConfig(
+    temperature=0.0,
+    tools=tools,
+)
+
+# Create the model
+model = ModelFactory.create(
+    model_platform=ModelPlatformType.OPENAI,
+    model_type=ModelType.GPT_4O,
+    model_config_dict=assistant_model_config.__dict__
+)
+
+# Define the system message for the assistant
+assistant_sys_msg = BaseMessage.make_assistant_message(
+    role_name="Researcher",
+    content=(
+        "You are a researcher. Using the information in the task, you find out some of the most popular facts about the topic along with some of the trending aspects. "
+        "You provide a lot of information thereby allowing a choice in the content selected for the final blog."
+    ),
+)
+
+# Initialize the agent
+agent = ChatAgent(
+    assistant_sys_msg,
+    model,
+    tools=tools,
+)
+
+# Reset the agent to start fresh
+agent.reset()
+
+# Define the research task prompt
+prompt = """
+Research about open source LLMs vs closed source LLMs.
+Your final answer MUST be a full analysis report.
+"""
+
+user_msg = BaseMessage.make_user_message(role_name="User", content=prompt)
+print(Fore.YELLOW + f"User prompt:\n{prompt}\n")
+
+# Get the response from the agent
+response = agent.step(user_msg)
+for msg in response.msgs:
+    print_text_animated(Fore.GREEN + f"Agent response:\n{msg.content}\n")

python/examples/research_assistant/research_assistant_camelai/requirements.txt

@@ -0,0 +1,3 @@
+camel-ai
+composio-camel
+python-dotenv

python/examples/research_assistant/main.py → python/examples/research_assistant/research_assistant_crewai/main.py

@@ -10,7 +10,10 @@
 dotenv.load_dotenv()
 
 # Initialize the language model with OpenAI API key and model name
-llm = ChatOpenAI(model="gpt-4o")
+llm = ChatOpenAI(
+    api_key=os.environ["OPENAI_API_KEY"],
+    model="gpt-4o"
+)
 
 # Setup tools using ComposioToolSet
 composio_toolset = ComposioToolSet()
@@ -47,4 +50,4 @@
 result = crew.kickoff()
 
 # Print the result of the task execution
-print(result)
+print(task.output)

python/examples/research_assistant/research_assistant_crewai/setup.sh

@@ -0,0 +1,35 @@
+#!/bin/bash
+
+# Create a virtual environment
+echo "Creating virtual environment..."
+python3 -m venv ~/.venvs/research_assistant
+
+# Activate the virtual environment
+echo "Activating virtual environment..."
+source ~/.venvs/research_assistant/bin/activate
+
+# Install libraries from requirements.txt 
+echo "Installing libraries from requirements.txt..."
+pip install -r requirements.txt
+
+# Login to your account
+echo "Login to your Composio acount"
+composio login
+
+# Add trello tool
+echo "Add serpapi tool. Finish the flow"
+composio add serpapi
+
+# Copy env backup to .env file
+if [ -f ".env.example" ]; then
+    echo "Copying .env.example to .env..."
+    cp .env.example .env
+else
+    echo "No .env.example file found. Creating a new .env file..."
+    touch .env
+fi
+
+# Prompt user to fill the .env file
+echo "Please fill in the .env file with the necessary environment variables."
+
+echo "Setup completed successfully!"

python/examples/research_assistant/research_assistant_praisonai/.env.example

@@ -0,0 +1 @@
+OPENAI_API_KEY = your_openai_api_key_here #api key for chatgpt

python/examples/research_assistant/research_assistant_praisonai/main.py

@@ -0,0 +1,48 @@
+import os
+import yaml
+import dotenv
+from praisonai import PraisonAI
+from composio_praisonai import Action, ComposioToolSet,App
+from langchain_openai import ChatOpenAI
+# Load environment variables
+dotenv.load_dotenv()
+
+# Initialize the language model with OpenAI API key and model name
+llm = ChatOpenAI(
+    api_key=os.environ["OPENAI_API_KEY"],
+    model="gpt-4"
+)
+
+composio_toolset = ComposioToolSet()
+tools = composio_toolset.get_actions(actions=[Action.SERPAPI_SEARCH])
+
+tool_section_str = composio_toolset.get_tools_section(tools)
+print(tool_section_str)
+
+
+# Define the agent YAML configuration
+agent_yaml = """
+framework: "crewai"
+topic: "Research"
+
+roles:
+  researcher:
+    role: "Researcher"
+    goal: "Search the internet for the information requested"
+    backstory: "A researcher tasked with finding and analyzing information on various topics using available tools."
+    tasks:
+      research_task:
+        description: "Research about open source LLMs vs closed source LLMs."
+        expected_output: "A full analysis report on the topic."
+""" + tool_section_str
+
+print(agent_yaml)
+
+# Create a PraisonAI instance with the agent_yaml content
+praison_ai = PraisonAI(agent_yaml=agent_yaml)
+
+# Run PraisonAI
+result = praison_ai.main()
+
+# Print the result
+print(result)

python/examples/research_assistant/research_assistant_praisonai/requirements.txt

@@ -0,0 +1,4 @@
+python-dotenv
+composio_praisonai
+langchain_openai
+praisonai 

python/examples/research_assistant/research_assistant_praisonai/setup.sh

@@ -0,0 +1,35 @@
+#!/bin/bash
+
+# Create a virtual environment
+echo "Creating virtual environment..."
+python3 -m venv ~/.venvs/research_assistant
+
+# Activate the virtual environment
+echo "Activating virtual environment..."
+source ~/.venvs/research_assistant/bin/activate
+
+# Install libraries from requirements.txt 
+echo "Installing libraries from requirements.txt..."
+pip install -r requirements.txt
+
+# Login to your account
+echo "Login to your Composio acount"
+composio login
+
+# Add trello tool
+echo "Add serpapi tool. Finish the flow"
+composio add serpapi
+
+# Copy env backup to .env file
+if [ -f ".env.example" ]; then
+    echo "Copying .env.example to .env..."
+    cp .env.example .env
+else
+    echo "No .env.example file found. Creating a new .env file..."
+    touch .env
+fi
+
+# Prompt user to fill the .env file
+echo "Please fill in the .env file with the necessary environment variables."
+
+echo "Setup completed successfully!"

tools.py

@@ -0,0 +1,22 @@
+import typing as t
+from typing import Type
+from praisonai_tools import BaseTool
+from composio_praisonai import ComposioToolSet
+from langchain.pydantic_v1 import BaseModel, Field
+
+
+
+class SERPAPI_SEARCH_PARAMS(BaseModel):
+	query: str = Field(description="The search query for the SERP API.")
+
+class SERPAPI_SEARCH_TOOL(BaseTool):
+	name: str = "SERPAPI_SEARCH_TOOL"
+	description: str = "Perform a Google search using the SERP API."
+	args_schema: Type[BaseModel] = SERPAPI_SEARCH_PARAMS
+
+	def _run(self, **kwargs: t.Any) -> t.Any:
+		toolset = ComposioToolSet(entity_id='default')
+		return toolset.execute_tool(
+			tool_identifier="serpapi_search",
+			params=kwargs,
+		)