Latest Version:
Install like a pro with the latest version:
pip install git+https://github.com/aniketmaurya/aidoot.git@mainEditable Installation:
For the mad scientists who like to tweak:
git clone https://github.com/aniketmaurya/aidoot.git
cd aidoot
pip install -e .- ✅ OpenAI (Because, duh—it's OpenAI!)
- ✅ Cohere Command R and Command R+ (For that extra punch)
- ✅ LlamaCPP (Open-source and proud)
Here’s a quick showstopper using an LLM with weather data:
from aidoot.llms import LlamaCppChatCompletion
from aidoot.tools import get_current_weather, wikipedia_search
from aidoot.tool_executor import need_tool_use
llm = LlamaCppChatCompletion.from_default_llm(n_ctx=0)
llm.bind_tools([get_current_weather, wikipedia_search]) # Add tools from LangChain
messages = [
{"role": "user", "content": "how is the weather in London today?"}
]
output = llm.chat_completion(messages)
if need_tool_use(output):
print("Using weather tool... it's about to get real")
tool_results = llm.run_tools(output)
tool_results[0]["role"] = "assistant"
updated_messages = messages + tool_results
updated_messages.append({
"role": "user",
"content": "Think step by step and answer my question based on the above context."
})
output = llm.chat_completion(updated_messages)
print(output.choices[0].message.content)Expand output... (Go ahead, don't be shy)
Alright, let's break this down for you like a pro:
1. **Temperature**: 23°C (73°F) — Gorgeous! 👌
2. **Cloud Cover**: Zero clouds. The sun is out. 🌞
3. **Humidity**: 38%. Not too sticky.
4. **Precipitation**: Nada. Dry as a desert. 🌵
5. **Pressure**: 1023 hPa. Weather’s stable, people. 📏
6. **Visibility**: 10 km. No fog, no drama. 👀
7. **Weather Condition**: It’s sunny, it’s lovely, it’s perfect. 🌅
8. **Wind**: A breezy 9 km/h. Just enough to mess up your hair. 💨
So yeah, it's a fantastic day to be out and about in London. 🌍
Tip:
AIDootalso supports the Cohere API for tool use and function calling. Check out the reproducible notebook here.
What if your AI could see? It can! Let’s combine text and image processing for a truly next-level experience.
from agents.llms import LlamaCppChatCompletion
from agents.tools import wikipedia_search, google_search, image_inspector
llm = LlamaCppChatCompletion.from_default_llm(n_ctx=0)
llm.bind_tools([google_search, wikipedia_search, image_inspector])
image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
messages = [
{"role": "system", "content": "You're an ultra-intelligent assistant who knows all the things. Use your powers!"},
{"role": "user", "content": f"Check this image {image_url} and tell me where in London I can go that looks like this."}
]
output = llm.chat_completion(messages)
tool_results = llm.run_tools(output)
updated_messages = messages + tool_results
messages = updated_messages + [{
"role": "user",
"content": "Answer based on the tool results. Go on, impress me."
}]
output = llm.chat_completion(messages)
print(output.choices[0].message.content)Expand output... (Let’s see what the AI has to say)
Okay, let's break this down! The image you uploaded shows a serene nature boardwalk, surrounded by lush greenery and a peaceful, cloudy sky. Perfect for a casual walk or zen moment. 🌿
In London, here’s where you can find your zen:
1. **Richmond Park**: The big daddy of London parks. Wide open spaces, lakes, and majestic vibes. 🌳
2. **Hampstead Heath**: For the wanderers—with ponds, meadows, and wooded areas to explore. 🌲
3. **Greenwich Park**: Stunning views and historic landmarks. You'll feel like royalty. 👑
4. **Victoria Park**: A chill vibe with lakes and gardens. Perfect for a day out. 🌸
5. **Hyde Park**: The classic central park with all the iconic attractions. 🏞️
These parks are totally on-brand with that image. Your perfect outdoor day awaits! 🌞
Built with love, powered by PyCharm 🧡
(Huge shoutout to JetBrains for the free credits — you're awesome!)
