mirror of
https://github.com/wavetermdev/waveterm-docs-old.git
synced 2026-08-05 13:42:53 -07:00
Add deprecation banner to all the docs pages
This commit is contained in:
Evan Simkowitz
@@ -3,6 +3,12 @@ title: 'Generic (Bring Your Own)'
|
||||
description: 'Get up and running with your own LLM provider'
|
||||
---
|
||||
|
||||
<Warning>
|
||||
## Wave Terminal Documentation Has Moved
|
||||
|
||||
As of September 2024, this version of Wave Terminal is deprecated. To learn more about our new version (>=v0.8.0), check out [www.waveterm.dev](https://www.waveterm.dev). To find documentation for our new version, check out [docs.waveterm.dev](https://docs.waveterm.dev).
|
||||
</Warning>
|
||||
|
||||
Wave AI supports the integration of any LLM provider that uses the [OpenAI Chat Completions API](https://platform.openai.com/docs/api-reference/chat). This feature allows you to bring your own compatible LLM provider and seamlessly integrate it into your workflow.
|
||||
|
||||
While we strive to test and include as many LLM providers as possible, we simply cannot add them all. This is where the ability to add your own, custom LLM comes in — it allows you to configure your own LLM provider with just a couple of simple changes, even if it's not officially listed as supported by Wave AI.
|
||||
|
||||
@@ -3,6 +3,12 @@ title: 'llama.cpp'
|
||||
description: 'Get llama.cpp up and running in Wave AI'
|
||||
---
|
||||
|
||||
<Warning>
|
||||
## Wave Terminal Documentation Has Moved
|
||||
|
||||
As of September 2024, this version of Wave Terminal is deprecated. To learn more about our new version (>=v0.8.0), check out [www.waveterm.dev](https://www.waveterm.dev). To find documentation for our new version, check out [docs.waveterm.dev](https://docs.waveterm.dev).
|
||||
</Warning>
|
||||
|
||||
[llama.cpp](https://github.com/ggerganov/llama.cpp) is an open-source project that enables efficient inference of Meta's LLaMA and other compatible models using pure C/C++, with the main goal of enabling LLM inference with minimal setup and state-of-the-art performance on a wide variety of hardware. It offers optimizations for various architectures, supports integer quantization for faster inference and reduced memory usage, and includes custom CUDA kernels, Vulkan, SYCL, and OpenCL backend support.
|
||||
|
||||
Wave specifically supports the [llama.cpp HTTP Server](https://github.com/ggerganov/llama.cpp/tree/master/examples/server#llamacpp-http-server), which makes the models available locally to run from other applications like Wave.
|
||||
|
||||
@@ -3,6 +3,12 @@ title: 'LM Studio'
|
||||
description: 'Get LM Studio up and running in Wave AI'
|
||||
---
|
||||
|
||||
<Warning>
|
||||
## Wave Terminal Documentation Has Moved
|
||||
|
||||
As of September 2024, this version of Wave Terminal is deprecated. To learn more about our new version (>=v0.8.0), check out [www.waveterm.dev](https://www.waveterm.dev). To find documentation for our new version, check out [docs.waveterm.dev](https://docs.waveterm.dev).
|
||||
</Warning>
|
||||
|
||||
[LM Studio](https://lmstudio.ai/) is a desktop application that allows users to discover, download, and run Large Language Models (LLMs) offline on their personal computers. It supports ggml-compatible models from Hugging Face, including Llama, MPT, and StarCoder. LM Studio provides a user-friendly Chat UI for engaging with the models and an OpenAI-compatible local server for seamless integration with other tools and applications.
|
||||
|
||||
Wave specifically supports the [LM Studio Server](https://lmstudio.ai/docs/local-server), which makes the models available locally to run from other applications like Wave.
|
||||
|
||||
@@ -3,6 +3,12 @@ title: 'LocalAI'
|
||||
description: 'Get LocalAI up and running in Wave AI'
|
||||
---
|
||||
|
||||
<Warning>
|
||||
## Wave Terminal Documentation Has Moved
|
||||
|
||||
As of September 2024, this version of Wave Terminal is deprecated. To learn more about our new version (>=v0.8.0), check out [www.waveterm.dev](https://www.waveterm.dev). To find documentation for our new version, check out [docs.waveterm.dev](https://docs.waveterm.dev).
|
||||
</Warning>
|
||||
|
||||
[LocalAI](https://localai.io/) is a free, open-source alternative to OpenAI that allows users to run large language models (LLMs), generate images, audio, and more locally or on-premises using consumer-grade hardware. It acts as a drop-in replacement REST API compatible with OpenAI API specifications, enabling users to perform local inferencing. LocalAI supports multiple model families and architectures without requiring a GPU, giving users the power and flexibility to leverage AI while maintaining full control over their data and infrastructure.
|
||||
|
||||
**Note:** At the moment, Wave's integration with LocalAI only supports their LLM features. Image generation, audio processing, speech to text, and other capabilities are not yet available but may be added in future updates.
|
||||
|
||||
@@ -3,6 +3,12 @@ title: 'Ollama'
|
||||
description: 'Get Ollama up and running in Wave AI'
|
||||
---
|
||||
|
||||
<Warning>
|
||||
## Wave Terminal Documentation Has Moved
|
||||
|
||||
As of September 2024, this version of Wave Terminal is deprecated. To learn more about our new version (>=v0.8.0), check out [www.waveterm.dev](https://www.waveterm.dev). To find documentation for our new version, check out [docs.waveterm.dev](https://docs.waveterm.dev).
|
||||
</Warning>
|
||||
|
||||
[Ollama](https://ollama.com/) is an open-source language model that offers a powerful and flexible alternative to proprietary LLMs, allowing you to run the model locally or on your own server infrastructure. Ollama provides high-quality language generation and understanding capabilities while giving you full control over your data and privacy.
|
||||
|
||||
<Tip>
|
||||
|
||||
@@ -3,6 +3,12 @@ title: 'OpenAI'
|
||||
description: 'Get up and running with a different model in OpenAI'
|
||||
---
|
||||
|
||||
<Warning>
|
||||
## Wave Terminal Documentation Has Moved
|
||||
|
||||
As of September 2024, this version of Wave Terminal is deprecated. To learn more about our new version (>=v0.8.0), check out [www.waveterm.dev](https://www.waveterm.dev). To find documentation for our new version, check out [docs.waveterm.dev](https://docs.waveterm.dev).
|
||||
</Warning>
|
||||
|
||||
By default, Wave AI proxies your requests through our cloud servers to OpenAI using the _gpt-3.5-turbo_ model. However, users can use their own _API key_ and _model_ for additional flexibility, privacy, and to bypass our current rate limit of 200 requests per day to OpenAI, which was implemented to prevent abuse.
|
||||
|
||||
<Tip>
|
||||
|
||||
Reference in New Issue
Block a user