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6 Commits

Author SHA1 Message Date
Benson Wong 3a1e9f81f1 support TTS /v1/audio/speech (#36) 2025-01-12 16:27:01 -08:00
Benson Wong 72c883f36c Update README.md 2025-01-02 09:01:51 -08:00
Benson Wong 1b04d034cf Update README.md 2025-01-02 08:59:11 -08:00
Benson Wong 2e45f5692a Update README.md
Improve README documentation.
2025-01-01 12:51:24 -08:00
Benson Wong c97b80bdfe Update README.md 2025-01-01 12:25:45 -08:00
Benson Wong ae3ef9bc39 Refactor UI (#33)
- add html to / instead of 404
- add client side regex to /logs
2024-12-23 19:48:59 -08:00
6 changed files with 200 additions and 58 deletions
+28 -17
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@@ -3,33 +3,37 @@
![llama-swap header image](header.jpeg)
# Introduction
llama-swap is an OpenAI API compatible server that gives you complete control over how you use your hardware. It automatically swaps to the configuration of your choice for serving a model. Since [llama.cpp's server](https://github.com/ggerganov/llama.cpp/tree/master/examples/server) can't swap models, let's swap the server instead!
llama-swap is a light weight, transparent proxy server that provides automatic model swapping to llama.cpp's server.
Features:
Written in golang, it is very easy to install (single binary with no dependancies) and configure (single yaml file). Download a pre-built [release](https://github.com/mostlygeek/llama-swap/releases) or built it yourself from source with `make clean all`.
## How does it work?
When a request is made to an OpenAI compatible endpoints, lama-swap will extract the `model` value load the appropriate server configuration to serve it. If a server is already running it will stop it and start a new one. This is where the "swap" part comes in. The upstream server is automatically swapped to the correct one to serve the request.
In the most basic configuration llama-swap handles one model at a time. For more advanced use cases, the `profiles` feature can load multiple models at the same time. You have complete control over how your system resources are used.
## Do I need to use llama.cpp's server (llama-server)?
Any OpenAI compatible server would work. llama-swap was originally designed for llama-server and it is the best supported. For Python based inference servers like vllm or tabbyAPI it is recommended to run them via podman. This provides clean environment isolation as well as responding correctly to `SIGTERM` signals to shutdown.
## Features:
- ✅ Easy to deploy: single binary with no dependencies
- ✅ Easy to config: single yaml file
- ✅ On-demand model switching
- ✅ Full control over server settings per model
- ✅ OpenAI API support (`v1/completions`, `v1/chat/completions`, `v1/embeddings` and `v1/rerank`)
- ✅ OpenAI API supported endpoints:
- `v1/completions`
- `v1/chat/completions`
- `v1/embeddings`
- `v1/rerank`
- `v1/audio/speech`
- ✅ Multiple GPU support
- ✅ Run multiple models at once with `profiles`
- ✅ Remote log monitoring at `/log`
- ✅ Automatic unloading of models from GPUs after timeout
- ✅ Use any local OpenAI compatible server (llama.cpp, vllm, tabblyAPI, etc)
- ✅ Use any local OpenAI compatible server (llama.cpp, vllm, tabbyAPI, etc)
- ✅ Direct access to upstream HTTP server via `/upstream/:model_id` ([demo](https://github.com/mostlygeek/llama-swap/pull/31))
## Releases
Builds for Linux and OSX are available on the [Releases](https://github.com/mostlygeek/llama-swap/releases) page.
### Building from source
1. Install golang for your system
1. `git clone git@github.com:mostlygeek/llama-swap.git`
1. `make clean all`
1. Binaries will be in `build/` subdirectory
## config.yaml
llama-swap's configuration is purposefully simple.
@@ -95,19 +99,26 @@ profiles:
- "llama"
```
**Advanced examples**
### Advanced Examples
- [config.example.yaml](config.example.yaml) includes example for supporting `v1/embeddings` and `v1/rerank` endpoints
- [Speculative Decoding](examples/speculative-decoding/README.md) - using a small draft model can increase inference speeds from 20% to 40%. This example includes a configurations Qwen2.5-Coder-32B (2.5x increase) and Llama-3.1-70B (1.4x increase) in the best cases.
- [Optimizing Code Generation](examples/benchmark-snakegame/README.md) - find the optimal settings for your machine. This example demonstrates defining multiple configurations and testing which one is fastest.
## Installation
### Installation
1. Create a configuration file, see [config.example.yaml](config.example.yaml)
1. Download a [release](https://github.com/mostlygeek/llama-swap/releases) appropriate for your OS and architecture.
* _Note: Windows currently untested._
1. Run the binary with `llama-swap --config path/to/config.yaml`
### Building from source
1. Install golang for your system
1. `git clone git@github.com:mostlygeek/llama-swap.git`
1. `make clean all`
1. Binaries will be in `build/` subdirectory
## Monitoring Logs
Open the `http://<host>/logs` with your browser to get a web interface with streaming logs.
+14
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@@ -0,0 +1,14 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>llama-swap</title>
</head>
<body>
<h1>llama-swap</h1>
<p>
<a href="/logs">view logs</a> | <a href="/upstream">configured models</a> | <a href="https://github.com/mostlygeek/llama-swap">github</a>
</p>
</body>
</html>
+113 -21
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@@ -12,42 +12,134 @@
flex-direction: column;
font-family: "Courier New", Courier, monospace;
}
#log-controls {
margin: 0.5em;
display: flex;
align-items: center;
justify-content: space-between; /* Spaces out elements evenly */
}
#log-controls input {
flex: 1;
}
#log-controls input:focus {
outline: none; /* Ensures no outline is shown when the input is focused */
}
#log-stream {
flex: 1;
margin: 1em;
padding: 10px;
margin: 0.5em;
padding: 1em;
background: #f4f4f4;
overflow-y: auto;
white-space: pre-wrap; /* Ensures line wrapping */
word-wrap: break-word; /* Ensures long words wrap */
}
.regex-error {
background-color: #ff0000 !important;
}
/* Dark mode styles */
@media (prefers-color-scheme: dark) {
body {
background-color: #333;
color: #fff;
}
#log-stream {
background: #444;
color: #fff;
}
#log-controls input {
background: #555;
color: #fff;
border: 1px solid #777;
}
#log-controls button {
background: #555;
color: #fff;
border: 1px solid #777;
}
}
</style>
</head>
<body>
<pre id="log-stream">Waiting for logs...
</pre>
<pre id="log-stream">Waiting for logs...</pre>
<div id="log-controls">
<input type="text" id="filter-input" placeholder="regex filter">
<button id="clear-button">clear</button>
</div>
<script>
// Establish an EventSource connection to the SSE endpoint
if (typeof(EventSource) !== "undefined") {
const eventSource = new EventSource("/logs/streamSSE");
const logStream = document.getElementById('log-stream');
const filterInput = document.getElementById('filter-input');
var logData = "";
let regexFilter = null;
eventSource.onmessage = function(event) {
// Append the new log message to the <pre> element
const logStream = document.getElementById('log-stream');
function setupEventSource() {
if (typeof(EventSource) !== "undefined") {
const eventSource = new EventSource("/logs/streamSSE");
logStream.textContent += event.data;
eventSource.onmessage = function(event) {
logData += event.data;
render()
};
// Auto-scroll to the bottom
logStream.scrollTop = logStream.scrollHeight;
};
eventSource.onerror = function(err) {
console.error("EventSource failed:", err);
};
} else {
console.error("SSE not supported by this browser.");
eventSource.onerror = function(err) {
logData = "EventSource failed: " + err.message;
};
} else {
logData = "SSE Not supported by this browser."
}
}
// poor-ai's react ¯\_(ツ)_/¯
function render() {
if (regexFilter) {
const lines = logData.split('\n');
const filteredLines = lines.filter(line => {
return regexFilter === null || regexFilter.test(line);
});
if (filteredLines.length > 0) {
logStream.textContent = filteredLines.join('\n') + '\n';
} else {
logStream.textContent = "";
}
} else {
logStream.textContent = logData;
}
logStream.scrollTop = logStream.scrollHeight;
}
function updateFilter() {
const pattern = filterInput.value.trim();
filterInput.classList.remove('regex-error');
if (pattern) {
try {
regexFilter = new RegExp(pattern);
} catch (e) {
console.error("Invalid regex pattern:", e);
regexFilter = null;
filterInput.classList.add('regex-error');
return
}
} else {
regexFilter = null;
}
render();
}
filterInput.addEventListener('input', updateFilter);
document.getElementById('clear-button').addEventListener('click', () => {
filterInput.value = "";
regexFilter = null;
render();
});
setupEventSource();
updateFilter();
</script>
</body>
</html>
+10
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@@ -0,0 +1,10 @@
package proxy
import "embed"
//go:embed html
var htmlFiles embed.FS
func getHTMLFile(path string) ([]byte, error) {
return htmlFiles.ReadFile("html/" + path)
}
+25 -11
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@@ -2,7 +2,6 @@ package proxy
import (
"bytes"
"embed"
"encoding/json"
"fmt"
"io"
@@ -20,15 +19,6 @@ const (
PROFILE_SPLIT_CHAR = ":"
)
//go:embed html/favicon.ico
var faviconData []byte
//go:embed html/logs.html
var logsHTML []byte
// make sure embed is kept there by the IDE auto-package importer
var _ = embed.FS{}
type ProxyManager struct {
sync.Mutex
@@ -88,6 +78,9 @@ func New(config *Config) *ProxyManager {
pm.ginEngine.POST("/v1/embeddings", pm.proxyOAIHandler)
pm.ginEngine.POST("/v1/rerank", pm.proxyOAIHandler)
// Support audio/speech endpoint
pm.ginEngine.POST("/v1/audio/speech", pm.proxyOAIHandler)
pm.ginEngine.GET("/v1/models", pm.listModelsHandler)
// in proxymanager_loghandlers.go
@@ -98,8 +91,29 @@ func New(config *Config) *ProxyManager {
pm.ginEngine.GET("/upstream", pm.upstreamIndex)
pm.ginEngine.Any("/upstream/:model_id/*upstreamPath", pm.proxyToUpstream)
pm.ginEngine.GET("/", func(c *gin.Context) {
// Set the Content-Type header to text/html
c.Header("Content-Type", "text/html")
// Write the embedded HTML content to the response
htmlData, err := getHTMLFile("index.html")
if err != nil {
c.String(http.StatusInternalServerError, err.Error())
return
}
_, err = c.Writer.Write(htmlData)
if err != nil {
c.String(http.StatusInternalServerError, fmt.Sprintf("failed to write response: %v", err))
return
}
})
pm.ginEngine.GET("/favicon.ico", func(c *gin.Context) {
c.Data(http.StatusOK, "image/x-icon", faviconData)
if data, err := getHTMLFile("favicon.ico"); err == nil {
c.Data(http.StatusOK, "image/x-icon", data)
} else {
c.String(http.StatusInternalServerError, err.Error())
}
})
// Disable console color for testing
+10 -9
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@@ -16,9 +16,14 @@ func (pm *ProxyManager) sendLogsHandlers(c *gin.Context) {
c.Header("Content-Type", "text/html")
// Write the embedded HTML content to the response
_, err := c.Writer.Write(logsHTML)
logsHTML, err := getHTMLFile("logs.html")
if err != nil {
c.AbortWithError(http.StatusInternalServerError, fmt.Errorf("failed to write response: %v", err))
c.String(http.StatusInternalServerError, err.Error())
return
}
_, err = c.Writer.Write(logsHTML)
if err != nil {
c.String(http.StatusInternalServerError, fmt.Sprintf("failed to write response: %v", err))
return
}
} else {
@@ -43,7 +48,7 @@ func (pm *ProxyManager) streamLogsHandler(c *gin.Context) {
notify := c.Request.Context().Done()
flusher, ok := c.Writer.(http.Flusher)
if !ok {
c.AbortWithError(http.StatusInternalServerError, fmt.Errorf("Streaming unsupported"))
c.AbortWithError(http.StatusInternalServerError, fmt.Errorf("streaming unsupported"))
return
}
@@ -53,11 +58,7 @@ func (pm *ProxyManager) streamLogsHandler(c *gin.Context) {
if !skipHistory {
history := pm.logMonitor.GetHistory()
if len(history) != 0 {
_, err := c.Writer.Write(history)
if err != nil {
c.AbortWithError(http.StatusInternalServerError, err)
return
}
c.Writer.Write(history)
flusher.Flush()
}
}
@@ -68,7 +69,7 @@ func (pm *ProxyManager) streamLogsHandler(c *gin.Context) {
case msg := <-ch:
_, err := c.Writer.Write(msg)
if err != nil {
c.AbortWithError(http.StatusInternalServerError, err)
// just break the loop if we can't write for some reason
return
}
flusher.Flush()