Finally Ollama has an OpenAI compatible API

The video discusses the recent release of Ollama, an AI product with an OpenAI-compatible API. It addresses a common question from users about the lack of OpenAI API compatibility and explains that with the release of version 0.124, this feature is now available. The video provides examples of how the API can be used from different user perspectives: regular users, power users, and developers. It demonstrates how to integrate the API into various tools and applications, such as chatbots and workflow automation, and highlights the ease of use and performance benefits of using the Ollama API directly. The video also touches on the importance of privacy and security when using AI services and suggests using Docker for a secure Python environment. The host expresses interest in exploring Autogen in more detail in future videos and encourages viewers to subscribe and provide feedback.

Takeaways

• 📢 OpenAI has released an API that is compatible with Ollama, allowing users to leverage OpenAI's products more directly.
• 🤖 The release 0.124 of Ollama includes OpenAI API compatibility, which means most users can start using it without needing to enable any special features.
• 💡 Users who have integrated Ollama into their products have not wasted their time, as the new compatibility can enhance their offerings.
• 🔍 For end users, tools that work with chat GPT and do not support Ollama can now potentially use the OpenAI API by setting a custom URL.
• 🛠️ Developers can use the OpenAI API directly with tools like Autogen Studio, which simplifies the creation of AI-powered agents for various tasks.
• 📝 The ability to add custom models in tools that support the OpenAI API can be beneficial, although care should be taken as there's no model existence check.
• 🔗 For developers, setting up the OpenAI API with Ollama involves specifying an API key, model name, and base URL, which can be done through a straightforward process.
• 🚀 Autogen Studio allows for the creation of complex workflows that combine different agents and skills, all orchestrated to perform sophisticated tasks.
• ⚙️ Technical users and developers can integrate the OpenAI API with Ollama by modifying their code to include the correct API key and base URL.
• 🌐 The OpenAI API compatibility with Ollama opens up possibilities for using the service in a wider range of applications and tools.
• ⚠️ There are cautionary notes about security and privacy when self-hosting services, emphasizing the importance of keeping company secrets secure.

Q & A

What is the significance of the release of version 0.124 for Ollama?

The release of version 0.124 for Ollama is significant because it introduces OpenAI API compatibility, allowing users to leverage OpenAI products directly within the Ollama environment.

Why is it important to have the ability to add a custom URL for chat GPT?

Adding a custom URL is important for companies that are concerned about privacy and security issues with chat GPT. It allows them to host the service on their own environment, such as Azure, to prevent company secrets from being discovered.

What is the role of the AMA Discord community in this context?

The AMA Discord community is a platform where users frequently ask questions and share information about Ollama. It is mentioned as a place where the question about OpenAI API compatibility has been frequently asked.

How does the tool 'mmac' relate to the OpenAI API compatibility?

The tool 'mmac' is mentioned as a slick tool that works with chat GPT but initially did not support AMA. However, upon closer inspection, it was found that AMA was in the supported list, indicating that it can now work with the OpenAI API through Ollama.

What is the process of adding a model to the chat wizard on GitHub?

To add a model to the chat wizard on GitHub, users can go into settings and input a URL for the model. Initially, the URL format used was 'HTTP logo host Port, 11434, slv1', but it was later adjusted by removing 'V1' from the URL to make it work correctly.

How does Autogen Studio work with the OpenAI API?

Autogen Studio is an application from Microsoft that allows users to build agents using AI. It works with the OpenAI API by allowing users to create models, skills (specific activities for the agent), and workflows that orchestrate different agents to perform complex tasks.

What precautions should be taken when using Autogen Studio?

Users should be cautious when using Autogen Studio, especially on a local machine, as it can create and run code without user input. It is recommended to use Docker for the Python environment or to set up a separate machine to secure the process.

What is the benefit of using the Ollama API directly with existing tools that use the OpenAI API?

Using the Ollama API directly with existing tools that use the OpenAI API can be more efficient, performant, and generally better. It also allows for easier integration and use of the official JS and Python libraries, as well as community-created libraries for other languages.

How does the Ollama API compatibility affect developers?

Developers can now integrate Ollama directly into their projects without the need for intermediaries like light llm. This simplifies the development process and allows for more direct and efficient use of AI capabilities within their applications.

What is the general workflow for using the Ollama API with Autogen Studio?

The general workflow involves installing Autogen Studio, creating a new model with a specified name and API key, defining skills for specific activities, and then creating agents with a system message, model, and defined skills. Finally, a workflow is set up to orchestrate the agents to perform complex tasks.

Why is it recommended to use a larger, more specific model for more complex tasks?

For more complex tasks, a larger, more specific model may be required to handle the intricacies and nuances of the task. This ensures that the AI can accurately interpret and respond to the data or queries it is processing.

Outlines

00:00

🤖 Open AI API and AMA Integration Overview

The first paragraph introduces the Open AI API, mentioning its popularity and widespread use despite not being the best API available. It discusses the frequent questions in the AMA Discord server and highlights the release of version 0.124, which includes Open AI API compatibility. The speaker emphasizes the ease of use for most users and the potential for self-hosting the service due to privacy and security concerns. They also mention the discovery of a tool called 'mmac' and its compatibility with AMA, and share their experience with 'chat wizard' on GitHub, which works well with chat GPT but not with AMA without some tweaking. The paragraph concludes with a demonstration of how to add a model in the chat interface and the successful operation of the model.

05:02

🚀 Autogen Studio and Developer Experience with AMA

The second paragraph delves into the developer perspective, focusing on Autogen Studio, a Microsoft product that simplifies the creation of AI-powered agents. It explains how Autogen and Autogen Studio work with the Open AI API and how users can create models, skills, and agents to perform various tasks. The speaker guides through the process of setting up Autogen Studio, including entering a model name and API key, and adjusting the base URL to work with AMA. They also discuss the potential risks of running such powerful tools on a local machine and suggest using Docker for security. The paragraph ends with a demonstration of running a simple workflow using the general agent and verifying its operation through logs.

10:03

📈 AMA Developer Site and Community Engagement

The third and final paragraph addresses the audience directly, expressing gratitude for their subscriptions and interest in the content. It invites viewers to provide feedback and suggests potential future topics for the channel. The speaker also provides a brief guide on how to use the Open AI developer site and integrate it with Visual Studio Code using Dino, a code generation tool. They demonstrate how to replace existing code with a template from Open AI, update the constructor with an API key and base URL, and run the program to receive a message from AMA. The paragraph concludes with a note on the benefits of using the AMA API directly and the availability of official and community-created libraries in various programming languages.

Keywords

💡OpenAI API

The OpenAI API is a set of programming tools that allows developers to integrate OpenAI's AI capabilities into their own applications. In the video, it is mentioned as a popular tool that people want to use with Ollama, indicating its significance in leveraging AI products.

💡Ollama

Ollama is an AI product that is gaining popularity and has recently released an update to include OpenAI API compatibility. The video discusses how this compatibility can be utilized by various users, from regular job workers to developers.

💡Discord

Discord is a communication platform where the Ollama community interacts, and it is mentioned in the context of frequently asked questions about the OpenAI API compatibility. It serves as a social hub for users to discuss and troubleshoot issues related to Ollama.

💡GPU

GPU stands for Graphics Processing Unit, which is a type of hardware used for rendering images, video, and animations. In the video, it is brought up in the context of users asking why their GPUs are not being utilized, highlighting a common concern regarding performance and resource usage.

💡AMA (Ask Me Anything)

AMA is a term used to denote a question-and-answer session, often found on platforms like Reddit. In the context of the video, it refers to a Discord channel where users can ask questions about Ollama, indicating the community's engagement with the product.

💡Autogen Studio

Autogen Studio is an application developed by Microsoft that allows users to build AI agents to automate tasks. The video explains how it can now work directly with Ollama, showcasing the integration of AI tools for more efficient workflows.

💡API Key

An API key is a unique identifier used to authenticate a user, device, or application with an API. In the video, setting up an API key for Ollama is shown as part of the process to enable the use of the OpenAI API.

💡Base URL

The base URL is the initial part of a web address that defines the location of a website or service. In the context of the video, it is used to specify the server where the AI model is hosted, allowing users to connect to the correct service.

💡Model

In the context of AI, a model refers to a system that has been trained to perform specific tasks, such as language processing. The video discusses adding a model to the system and how it can be used with the OpenAI API through Ollama.

💡Workflow

A workflow is a sequence of connected steps or processes that are undertaken to achieve a specific outcome. The video demonstrates how Autogen Studio uses workflows to orchestrate different AI agents to perform complex tasks.

💡Developer

A developer is a professional who creates or works on software applications. The video addresses developers specifically when discussing the technical aspects of integrating the OpenAI API with Ollama, indicating the target audience for advanced usage.

Highlights

Ollama now has an OpenAI-compatible API, allowing users to leverage OpenAI products.

The OpenAI API is popular but not the best to use, and Ollama's integration simplifies the process.

With the release of Ollama 0.124, OpenAI API compatibility is available for users.

Some features of the API are not yet available, but most users will find that it just works.

Users who have integrated AMA into their products have not wasted their time, as Ollama's compatibility adds value.

The release focuses on OpenAI API, and the end user can now use regular client tools that support OpenAI.

Adding a custom URL is crucial for companies concerned about privacy and security with chat GPT.

Mmac is a tool that works well with chat GPT, but it initially did not support AMA.

Chat Wizard on GitHub is compatible with chat GPT but not aware of Ollama until recent updates.

Users can now directly use Ollama without needing a middleman like Light LLM.

Autogen Studio by Microsoft allows users to build AI agents easily and combines them for complex tasks.

Autogen Studio works with the OpenAI API and now can use Ollama directly for more efficiency.

Developers can create skills and agents in Autogen Studio to automate various tasks using Python.

There's a cautionary note about running AI-generated code without user input, as it can execute operations autonomously.

Using Docker for the Python environment is recommended to avoid potential risks.

Developers can integrate Ollama directly into their projects using official JS and Python libraries.

The community has created libraries for various languages, making Ollama integration versatile.

Existing tools that use the OpenAI API and allow setting a base URL can now benefit greatly from Ollama's compatibility.

The video provides a comprehensive look at Ollama's OpenAI API compatibility from user, power user, and developer perspectives.