@ -42,7 +42,7 @@ In this example, we will create a **Griptape** agent by inheriting from the Swar
2. **Create Griptape Agent**: Initialize the **Griptape** agent inside your class and provide it with the necessary tools.
3. **Override the `run()` method**: Implement logic to process a task string and execute the Griptape agent.
#### **Griptape Example Code**:
## **Griptape Example Code**:
```python
from swarms import (
@ -110,7 +110,7 @@ Next, we demonstrate how to integrate a **Langchain** agent with **Swarms** by f
2. **Create Langchain Agent**: Initialize a Langchain agent with the necessary components (like language models or memory modules).
3. **Override the `run()` method**: Pass tasks to the Langchain agent and return the response.
#### **Langchain Example Code**:
## **Langchain Example Code**:
```python
from swarms import Agent as SwarmsAgent
@ -151,7 +151,7 @@ print(output)
### 1. **OpenAI Function Calling Agents**
- **Description**: OpenAI models like GPT-4 can now call functions programmatically. This makes it possible to create agents that execute external functions, APIs, or code snippets.
#### Example Integration:
## Example Integration:
```python
from swarms import Agent as SwarmsAgent
import openai
@ -183,7 +183,7 @@ print(output)
### 2. **Rasa Agents**
- **Description**: **Rasa** is a popular open-source framework for building conversational AI agents. You can integrate **Rasa** to build dialogue-based agents with **Swarms**.
#### Example Integration:
## Example Integration:
```python
from swarms import Agent as SwarmsAgent
from rasa.core.agent import Agent as RasaAgent
@ -211,7 +211,7 @@ print(output)
### 3. **Hugging Face Transformers**
- **Description**: **Hugging Face** offers a variety of pre-trained models, including transformers for NLP tasks. These can be easily integrated into **Swarms** for various tasks like text generation, question answering, and more.
#### Example Integration:
## Example Integration:
```python
from swarms import Agent as SwarmsAgent
from transformers import pipeline
@ -237,7 +237,7 @@ print(output)
### 4. **AutoGPT or BabyAGI**
- **Description**: **AutoGPT** and **BabyAGI** are agent frameworks designed to be autonomous, where agents can recursively execute tasks and create new tasks based on previous outputs.
#### Example Integration:
## Example Integration:
```python
from swarms import Agent as SwarmsAgent
from autogpt import AutoGPT
@ -263,7 +263,7 @@ print(output)
### 5. **DialogFlow Agents**
- **Description**: **DialogFlow** by Google is used to build conversational agents. These agents can process user intents and deliver responses based on predefined conversation flows.
#### Example Integration:
## Example Integration:
```python
from swarms import Agent as SwarmsAgent
from google.cloud import dialogflow
@ -295,7 +295,7 @@ print(output)
### 6. **ChatterBot Agents**
- **Description**: **ChatterBot** is a Python-based machine-learning conversational agent. It learns from previous conversations to generate intelligent responses.
#### Example Integration:
## Example Integration:
```python
from swarms import Agent as SwarmsAgent
from chatterbot import ChatBot
@ -321,7 +321,7 @@ print(output)
### 7. **Custom APIs as Agents**
- **Description**: You can create agents that integrate with any REST or GraphQL API by defining them as a task runner within Swarms. This allows for interaction with third-party services.