Implemented crewai agent with open interpreter

.gitignore

@@ -164,5 +164,5 @@ data/*
 docs/Perizia.pdf
 docs/detrazioni.txt
 sample-docs/detrazioni-miste.txt
-
+community/crewai/comm-crewai/*
 

Pipfile

@@ -25,6 +25,7 @@ langchain-openai = "*"
 sentence-transformers = "*"
 ragas = "*"
 langchainhub = "*"
+crewai = "*"
 
 [dev-packages]
 ipykernel = "*"

community/crewai/main.py

@@ -0,0 +1,58 @@
+from crewai import Agent, Task, Crew, Process
+from interpreter import interpreter
+from langchain.tools import tool
+from langchain_openai.chat_models.azure import AzureChatOpenAI
+import os
+import sys
+
+
+# 1. Setup LLM and Interpreter
+llm = AzureChatOpenAI(
+    deployment_name=os.getenv("AZURE_DEPLOYMENT_NAME"),
+    azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"),
+    temperature=0.1,
+)
+
+
+interpreter.auto_run = True
+interpreter.llm.api_key = os.getenv("AZURE_OPENAI_API_KEY")
+interpreter.llm.api_base = os.getenv("AZURE_OPENAI_ENDPOINT")
+interpreter.llm.api_version = os.getenv("OPENAI_API_VERSION")
+interpreter.llm.model = "azure/gpt-4"
+
+
+# 2. Define Open Interpreter as client tool
+class CLITool:
+    @tool("Executor")
+    def execute_command(command: str):
+        """Create and Execute code using Open Interpreter."""
+        result = interpreter.chat(command)
+        return result
+
+
+# 3. Creating an Agent for CLI tasks
+cli_agent = Agent(
+    role="Software Engineer",
+    goal="Always use Executor Tool. Ability to perform CLI operations, write programs and execute using Exector Tool",
+    backstory="Expert in command line operations, creating and executing code.",
+    tools=[CLITool.execute_command],
+    verbose=True,
+    llm=llm,
+)
+
+# 4. Defining a Task for CLI operations
+wallpapers_path = os.path.join(os.getcwd(), "wallpapers")
+cli_task = Task(
+    description=f"Identify the OS and then change background wallpaper with a random one retrieved from this directory: '{wallpapers_path}'",
+    agent=cli_agent,
+    tools=[CLITool.execute_command],
+    expected_output="Response message about the task executed",
+)
+
+# 5. Creating a Crew with CLI focus
+cli_crew = Crew(agents=[cli_agent], tasks=[cli_task])
+
+
+# 6. Run the Crew
+result = cli_crew.kickoff()
+print(result)

community/crewai/requirements.txt

@@ -0,0 +1,3 @@
+python-dotenv
+crewai
+open-interpreter