AICHAT-UTILS-DESCRIPTION

aichat_config.yml

model: mistral:mistral-small-latest
clients:
- type: gemini
  api_key: <KEY>
- type: openai
  api_key: <KEY>
- type: openai-compatible
  name: mistral
  api_base: https://api.mistral.ai/v1
  api_key: <KEY>

---------TOOLS.md------------
prompt:Alwary use tools in case you find to get information is able to get from tools
---
use_tools: all
---

install_aichat_env.sh

#!/bin/bash

# Install VSCode Extensions

code --install-extension ms-python.python
code --install-extension ms-toolsai.jupyter
code --install-extension github.copilot
code --install-extension janisdd.vscode-edit-csv
code --install-extension ms-python.debugpy
code --install-extension ms-python.vscode-pylance
code --install-extension ms-toolsai.jupyter-keymap
code --install-extension ms-toolsai.jupyter-renderers
code --install-extension ms-toolsai.vscode-jupyter-cell-tags
code --install-extension ms-toolsai.vscode-jupyter-slideshow

pip install uv

curl https://gist.githubusercontent.com/rajivmehtaflex/d8f83f7b286fd224d66177f40c162076/raw/203b57e93c61c04290442ba5ee44cdec7edff43d/install_brew.sh | sh

brew install aichat jq argc
git clone https://github.com/sigoden/llm-functions.git
cd llm-functions && touch tools.txt agents.txt

curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.3/install.sh | bash

export NVM_DIR="$HOME/.nvm"
[ -s "$NVM_DIR/nvm.sh" ] && \. "$NVM_DIR/nvm.sh"  # This loads nvm
[ -s "$NVM_DIR/bash_completion" ] && \. "$NVM_DIR/bash_completion"  # This loads nvm bash_completion

use_composio.py

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
import os
os.environ["OPENAI_API_KEY"] = "<key>"
os.environ["COMPOSIO_API_KEY"] = "<key>" 

llm = ChatOpenAI(model="gpt-4o-mini")
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet()
tools = composio_toolset.get_tools(actions=['GMAIL_SEND_EMAIL'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "send mail to [email protected] with subject: test and body: test"
result = agent_executor.invoke({"input": task},verbose=False)
print(result["output"])

use_composio_tools_directly.py

from composio import ComposioToolSet, Action
from composio import ComposioToolSet
import os
os.environ["COMPOSIO_API_KEY"] = "<key>" 
toolset = ComposioToolSet()
tool_set = ComposioToolSet(entity_id="default")

response=tool_set.execute_action(
   action=Action.GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER,
   params={"owner": "rajivmehtaflex", "repo": "g-sample-copilot"},
   entity_id="default",
)

print(response)
print("done")