Switching requests from the OpenAI API to Anthropic’s Claude APIs

This flow makes it simple to introduce an API “reroute” in your environment and switch LLM providers seamlessly and without any code changes.

In certain scenarios, you may wish to reroute requests made from your environment from one LLM provider (like OpenAI) to another (such as Anthropic). There are several reasons to do this:

• Model Performance: You may find that one provider's model performs significantly better than another's for your specific use case, warranting a reroute to take advantage of the superior model capabilities.
• Price: Pricing models can vary between providers, and rerouting requests may allow you to optimize costs by leveraging a more cost-effective option.
• Context Window / Prompt Size: Different LLM providers may offer varying maximum prompt sizes or context windows, so rerouting could enable you to work with a model that supports your specific requirements more effectively.
• Reliability: If you find that one provider's model is more reliable, consistent, or less prone to unexpected behaviors, rerouting your requests could help ensure more stable and trustworthy outputs.
• Specialization: Certain providers may offer models that are specialized for specific domains or tasks, so rerouting could allow you to leverage a more tailored solution for your needs.

Watch an example: See the demo

Overview:

The flow for switching requests from OpenAI to Anthropic comprises the following configurable blocks:

1. [Request] Filter

Purpose: To ensure only requests targeting the OpenAI Chat Completion API are processed for switching.

• API Endpoint Filter: Filters out requests made specifically to the OpenAI Chat Completion API (https://api.openai.com/v1/chat/completions).some text
  • This filter is critical to avoid unintended routing of other OpenAI API requests.
• Advanced Use Cases: You can further refine the filter to route requests made to specific OpenAI models. For example, you might choose to filter out requests using the GPT-4 model exclusively (see the section below, Filtering by Model).

2. [Request] Request Switcher

Purpose: To redirect filtered requests to the Anthropic API based on specific routing logic defined by the user.

Switching Options:

• Quota Usage: Switch to Anthropic when the usage quota for the OpenAI API surpasses a user-defined threshold.
• Error Rate: Route to Anthropic if the OpenAI API’s error rate exceeds a defined threshold.
• Latency: Switch to Anthropic when the response latency from OpenAI surpasses a specific threshold.
• Auto-Route: Automatically route all requests from OpenAI to Anthropic.

When using the Request Switcher, the modified request is treated as a new request. This means the request will pass through all the applicable flows in your system. If you have global flows or flows specific to the Anthropic API, they will be applied to this newly modified request.

Parameter Modifications: To align with Anthropic’s API, the following parameters are inserted during the switching process:

1. Model (in request body): Specify the desired Anthropic model. Refer to Anthropic’s model list to find the appropriate model ID (Anthropic Model Overview).
2. X-API-Key (in request headers): Insert your Anthropic API key for authentication.

Filtering Based on Model

In certain scenarios, you may wish to switch only requests using specific OpenAI models. For example:

• Applications leveraging fine-tuned OpenAI models might not be compatible with Anthropic, which currently does not support model fine-tuning.
• You might prefer Anthropic for general-purpose models while retaining OpenAI or another provider for fine-tuned models.

This is a common pattern in mixed environments. For instance, you might map requests for GPT-4 to Anthropic but retain GPT-3.5-turbo requests with OpenAI.

About the OpenAI API:

OpenAI is a prominent artificial intelligence research company founded in 2015. They are known for developing some of the most advanced large language models (LLMs) in the world, including GPT-3 and the more recent GPT-4.

The GPT (Generative Pre-trained Transformer) models are a series of powerful autoregressive language models that can be used for a wide variety of natural language processing tasks. GPT-3, released in 2020, was a groundbreaking model that demonstrated impressive language generation capabilities. GPT-4, the latest iteration, was released in 2023 and is even more capable, with enhancements in areas like multimodal understanding and task-completion.

OpenAI offers access to their GPT models through the OpenAI API, which allows developers and researchers to integrate these advanced language models into their own applications and projects. The API provides a straightforward interface for sending text prompts to the models and receiving generated responses, enabling a wide range of use cases such as content creation, question answering, translation, and more.

By making their cutting-edge AI technology available through the API, OpenAI has empowered a global community of users to push the boundaries of what is possible with large language models.

About the Anthropic API:

Anthropic is an artificial intelligence research company founded in 2021 with the mission of developing safe and ethical AI systems. One of their flagship products is the Claude language model, which was released in 2023.

Claude is a large language model (LLM) that has been trained on a vast corpus of text data using advanced machine learning techniques. Like OpenAI's GPT models, Claude is capable of engaging in a wide variety of natural language processing tasks such as text generation, question answering, summarization, and more.

What sets Claude apart is Anthropic's focus on developing AI systems that are aligned with human values and interests. The Claude model has been imbued with a strong sense of ethics and a commitment to being helpful and truthful in its interactions. Anthropic has also placed a heavy emphasis on ensuring Claude's outputs are safe, coherent, and free of biases or harmful content.

Anthropic offers access to the Claude model through the Claude API, which allows developers and researchers to integrate this advanced language AI into their own applications. The API provides a simple and intuitive interface for sending prompts to the model and receiving high-quality responses tailored to the user's needs.

By making the Claude model available through the API, Anthropic hopes to empower a global community of users to explore the potential of safe and ethical AI technology. The Claude API represents a important step forward in the development of AI systems that can be reliably and responsibly used to augment and enhance human intelligence.

OpenAI API vs Anthropic API:

The OpenAI API and the Anthropic Claude API both provide access to powerful large language models, but there are some key differences in the capabilities and technical features of the underlying models.

Model Capabilities

• OpenAI's GPT-4, released in 2023, represents a significant advancement in language AI, offering enhanced natural language understanding and generation capabilities across diverse tasks.
• Anthropic's Claude model family, introduced in 2024, emphasizes safety, coherence, and ethical behavior. The Claude 3 series includes models such as Haiku, Sonnet, and Opus, each tailored for specific operational needs. Notably, Claude 3 Opus has demonstrated superior performance over OpenAI's GPT-4 in various benchmarks, including graduate-level expert reasoning.
• While GPT-4 offers broad capabilities, Claude's design prioritizes producing reliable and trustworthy outputs, with recent iterations like Claude 3 Opus surpassing GPT-4 in certain performance metrics.

Technical API Features

• Prompting: Both APIs allow users to provide natural language prompts to the models, which then generate relevant text responses. However, OpenAI's API provides more fine-grained control over prompting, including features like temperature, top-k, and presence penalty.
• Multimodal Support: The OpenAI API recently added support for processing image inputs in addition to text, while the current Anthropic Claude API is text-only.
• Pricing: Pricing models differ, with OpenAI offering a pay-as-you-go structure and Anthropic focusing more on custom enterprise-level pricing.
• Latency: Users have generally reported lower latency and faster response times when using the Anthropic Claude API compared to the OpenAI API.

Ultimately, the choice between the OpenAI API and the Anthropic Claude API will depend on the specific needs and requirements of the user's application or project. Developers should carefully evaluate the tradeoffs between model capabilities, technical features, and pricing to determine the best fit.