847 lines
22 KiB
Go
847 lines
22 KiB
Go
package llm
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import (
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"bufio"
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"bytes"
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"context"
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"encoding/json"
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"errors"
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"fmt"
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"io"
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"log"
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"log/slog"
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"math/rand"
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"net"
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"net/http"
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"os"
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"os/exec"
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"path/filepath"
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"runtime"
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"slices"
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"strconv"
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"strings"
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"time"
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"github.com/ollama/ollama/api"
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"github.com/ollama/ollama/format"
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"github.com/ollama/ollama/gpu"
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)
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// LlamaServer is an instance of the llama.cpp server
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type LlamaServer struct {
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port int
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cmd *exec.Cmd
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done chan error // Channel to signal when the process exits
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status *StatusWriter
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options api.Options
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}
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var cpuOnlyFamilies = []string{
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"mamba",
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}
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func NewLlamaServer(model string, adapters, projectors []string, opts api.Options) (*LlamaServer, error) {
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if _, err := os.Stat(model); err != nil {
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return nil, err
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}
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f, err := os.Open(model)
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if err != nil {
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return nil, err
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}
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defer f.Close()
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ggml, _, err := DecodeGGML(f)
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if err != nil {
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return nil, err
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}
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if opts.NumCtx > int(ggml.KV().ContextLength()) {
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slog.Warn("requested context length is greater than model max context length", "requested", opts.NumCtx, "model", ggml.KV().ContextLength())
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opts.NumCtx = int(ggml.KV().ContextLength())
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}
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if opts.NumCtx < 4 {
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opts.NumCtx = 4
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}
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availableMemory, _ := gpu.CheckVRAM()
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info := gpu.GetGPUInfo()
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usedMemory := info.MinimumMemory
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for _, projector := range projectors {
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usedMemory += projectorMemoryRequirements(projector)
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// multimodal models require at least 2048 context
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opts.NumCtx = max(opts.NumCtx, 2048)
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}
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// fp16 k,v = (1 (k) + 1 (v)) * sizeof(float16) * n_ctx * n_layer * n_embd / n_head * n_head_kv
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kv := 2 * 2 * int64(opts.NumCtx) * int64(ggml.KV().BlockCount()) * int64(ggml.KV().EmbeddingLength()) / int64(ggml.KV().HeadCount()) * int64(ggml.KV().HeadCountKV())
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graph, ok := ggml.GraphSize(opts.NumCtx, min(opts.NumCtx, opts.NumBatch))
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if !ok {
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graph = int64(ggml.KV().GQA()) * kv / 6
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}
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usedMemory += graph
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if (usedMemory > availableMemory || slices.Contains(cpuOnlyFamilies, ggml.KV().Architecture())) && info.Library != "metal" {
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info.Library = "cpu"
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}
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requiredMemory := usedMemory
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var layers int
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for i := 0; i < int(ggml.KV().BlockCount()); i++ {
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layerMemory := ggml.LayerSize(fmt.Sprintf("blk.%d.", i)) + kv/int64(ggml.KV().BlockCount())
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requiredMemory += layerMemory
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if availableMemory > usedMemory+layerMemory && (opts.NumGPU < 0 || layers < opts.NumGPU) {
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usedMemory += layerMemory
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layers++
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}
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}
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memOutputLayer := ggml.LayerSize("output.")
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requiredMemory += memOutputLayer
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// only offload output layer if all repeating layers are offloaded
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if layers >= int(ggml.KV().BlockCount()) && availableMemory > usedMemory+memOutputLayer {
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usedMemory += memOutputLayer
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layers++
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}
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slog.Info(
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"offload to gpu",
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"layers", layers,
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"required", format.HumanBytes2(requiredMemory),
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"used", format.HumanBytes2(usedMemory),
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"available", format.HumanBytes2(availableMemory),
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"kv", format.HumanBytes2(kv),
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"graph", format.HumanBytes2(graph),
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)
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if opts.NumGPU < 0 && info.Library != "cpu" {
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opts.NumGPU = layers
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}
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if len(adapters) > 1 {
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return nil, errors.New("ollama supports only one lora adapter, but multiple were provided")
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}
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availableServers := availableServers()
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servers := serversForGpu(info)
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demandLib := os.Getenv("OLLAMA_LLM_LIBRARY")
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if demandLib != "" {
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serverPath := availableServers[demandLib]
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if serverPath == "" {
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slog.Info(fmt.Sprintf("Invalid OLLAMA_LLM_LIBRARY %s - not found", demandLib))
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} else {
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slog.Info("user override", "OLLAMA_LLM_LIBRARY", demandLib, "path", serverPath)
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servers = []string{demandLib}
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}
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}
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if len(servers) == 0 {
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return nil, fmt.Errorf("no servers found for %v", info)
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}
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params := []string{
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"--model", model,
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"--ctx-size", fmt.Sprintf("%d", opts.NumCtx),
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"--batch-size", fmt.Sprintf("%d", opts.NumBatch),
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"--embedding",
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}
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if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
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params = append(params, "--log-format", "json")
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} else {
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params = append(params, "--log-disable")
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}
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if opts.NumGPU >= 0 {
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params = append(params, "--n-gpu-layers", fmt.Sprintf("%d", opts.NumGPU))
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}
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if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
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params = append(params, "--verbose")
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}
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if opts.MainGPU > 0 {
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params = append(params, "--main-gpu", fmt.Sprintf("%d", opts.MainGPU))
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}
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if len(adapters) > 0 {
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// TODO: applying multiple adapters is not supported by the llama.cpp server yet
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params = append(params, "--lora", adapters[0])
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}
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if len(projectors) > 0 {
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// TODO: applying multiple projectors is not supported by the llama.cpp server yet
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params = append(params, "--mmproj", projectors[0])
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}
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if opts.NumThread > 0 {
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params = append(params, "--threads", fmt.Sprintf("%d", opts.NumThread))
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}
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if !opts.F16KV {
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params = append(params, "--memory-f32")
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}
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if opts.UseMLock {
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params = append(params, "--mlock")
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}
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if !opts.UseMMap {
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params = append(params, "--no-mmap")
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}
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if opts.UseNUMA {
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params = append(params, "--numa")
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}
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// Loop through potential servers
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var finalErr error
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for i := 0; i < len(servers); i++ {
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dir := availableServers[servers[i]]
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// Find an availableServers port, retry on each iterration in case the failure was a port conflict race
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port := 0
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if a, err := net.ResolveTCPAddr("tcp", "localhost:0"); err == nil {
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var l *net.TCPListener
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if l, err = net.ListenTCP("tcp", a); err == nil {
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port = l.Addr().(*net.TCPAddr).Port
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l.Close()
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}
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}
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if port == 0 {
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slog.Debug("ResolveTCPAddr failed ", "error", err)
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port = rand.Intn(65535-49152) + 49152 // get a random port in the ephemeral range
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}
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finalParams := append(params, "--port", strconv.Itoa(port))
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pathEnv := "LD_LIBRARY_PATH"
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if runtime.GOOS == "windows" {
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pathEnv = "PATH"
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}
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// append the server directory to LD_LIBRARY_PATH/PATH
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libraryPaths := []string{dir}
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if libraryPath, ok := os.LookupEnv(pathEnv); ok {
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// Append our runner directory to the path
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// This will favor system libraries over our bundled library dependencies
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libraryPaths = append(filepath.SplitList(libraryPath), libraryPaths...)
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}
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server := filepath.Join(dir, "ollama_llama_server")
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if runtime.GOOS == "windows" {
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server = server + ".exe"
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}
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s := &LlamaServer{
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port: port,
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cmd: exec.Command(server, finalParams...),
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status: NewStatusWriter(os.Stderr),
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options: opts,
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}
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libEnv := fmt.Sprintf("%s=%s", pathEnv, strings.Join(libraryPaths, string(filepath.ListSeparator)))
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slog.Debug(libEnv)
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s.cmd.Env = append(os.Environ(), libEnv)
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s.cmd.Stdout = os.Stdout
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s.cmd.Stderr = s.status
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slog.Info("starting llama server", "cmd", s.cmd.String())
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if err = s.cmd.Start(); err != nil {
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msg := ""
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if s.status != nil && s.status.LastErrMsg != "" {
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msg = s.status.LastErrMsg
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}
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err = fmt.Errorf("error starting the external llama server: %v %s", err, msg)
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finalErr = err
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continue
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}
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// reap subprocess when it exits
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go func() {
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// Exit status managed via getServerStatus
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_ = s.cmd.Wait()
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}()
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if err = s.waitUntilRunning(); err != nil {
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slog.Error("error starting llama server", "server", servers[i], "error", err)
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s.Close()
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finalErr = err
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continue
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}
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return s, nil
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}
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slog.Error("unable to load any llama server", "error", finalErr)
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return nil, finalErr
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}
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func projectorMemoryRequirements(filename string) int64 {
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file, err := os.Open(filename)
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if err != nil {
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return 0
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}
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defer file.Close()
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ggml, _, err := DecodeGGML(file)
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if err != nil {
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return 0
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}
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prefixes := make(map[string]struct{})
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for _, layer := range ggml.Tensors() {
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parts := strings.Split(layer.Name, ".")
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prefixes[strings.Join(parts[:2], ".")] = struct{}{}
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}
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var ask int64
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for prefix := range prefixes {
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ask += ggml.LayerSize(prefix)
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}
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return ask
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}
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type ServerStatus int
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const ( // iota is reset to 0
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ServerStatusReady ServerStatus = iota
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ServerStatusNoSlotsAvaialble
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ServerStatusLoadingModel
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ServerStatusNotResponding
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ServerStatusError
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)
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type ServerStatusResp struct {
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Status string `json:"status"`
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SlotsIdle int `json:"slots_idle"`
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SlotsProcessing int `json:"slots_processing"`
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Error string `json:"error"`
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}
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func (s *LlamaServer) getServerStatus(ctx context.Context) (ServerStatus, error) {
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// Fail fast if its exited
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if s.cmd.ProcessState != nil {
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msg := ""
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if s.status != nil && s.status.LastErrMsg != "" {
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msg = s.status.LastErrMsg
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}
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return ServerStatusError, fmt.Errorf("llama runner process no longer running: %d %s", s.cmd.ProcessState.ExitCode(), msg)
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}
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req, err := http.NewRequestWithContext(ctx, http.MethodGet, fmt.Sprintf("http://127.0.0.1:%d/health", s.port), nil)
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if err != nil {
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return ServerStatusError, fmt.Errorf("error creating GET request: %v", err)
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}
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req.Header.Set("Content-Type", "application/json")
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resp, err := http.DefaultClient.Do(req)
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if err != nil {
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if errors.Is(err, context.DeadlineExceeded) {
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return ServerStatusNotResponding, fmt.Errorf("server not responding")
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}
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return ServerStatusError, fmt.Errorf("health resp: %w", err)
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}
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defer resp.Body.Close()
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body, err := io.ReadAll(resp.Body)
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if err != nil {
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return ServerStatusError, fmt.Errorf("read health request: %w", err)
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}
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var status ServerStatusResp
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if err := json.Unmarshal(body, &status); err != nil {
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return ServerStatusError, fmt.Errorf("health unmarshal encode response: %w", err)
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}
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switch status.Status {
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case "ok":
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return ServerStatusReady, nil
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case "no slot available":
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return ServerStatusNoSlotsAvaialble, nil
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case "loading model":
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return ServerStatusLoadingModel, nil
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default:
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return ServerStatusError, fmt.Errorf("server error: %+v", status)
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}
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}
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func (s *LlamaServer) Ping(ctx context.Context) error {
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_, err := s.getServerStatus(ctx)
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if err != nil {
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slog.Debug("server unhealthy", "error", err)
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return err
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}
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return nil
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}
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func (s *LlamaServer) waitUntilRunning() error {
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start := time.Now()
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expiresAt := time.Now().Add(3 * time.Minute) // be generous with timeout, large models can take a while to load
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ticker := time.NewTicker(50 * time.Millisecond)
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defer ticker.Stop()
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slog.Info("waiting for llama runner to start responding")
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var lastStatus ServerStatus = -1
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for {
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select {
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case err := <-s.done:
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msg := ""
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if s.status != nil && s.status.LastErrMsg != "" {
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msg = s.status.LastErrMsg
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}
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return fmt.Errorf("llama runner process has terminated: %v %s", err, msg)
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case <-ticker.C:
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if time.Now().After(expiresAt) {
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// timeout
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msg := ""
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if s.status != nil && s.status.LastErrMsg != "" {
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msg = s.status.LastErrMsg
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}
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return fmt.Errorf("timed out waiting for llama runner to start: %s", msg)
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}
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if s.cmd.ProcessState != nil {
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msg := ""
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if s.status != nil && s.status.LastErrMsg != "" {
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msg = s.status.LastErrMsg
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}
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return fmt.Errorf("llama runner process no longer running: %d %s", s.cmd.ProcessState.ExitCode(), msg)
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}
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ctx, cancel := context.WithTimeout(context.Background(), 200*time.Millisecond)
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defer cancel()
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status, err := s.getServerStatus(ctx)
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if err != nil && lastStatus != status {
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slog.Debug("server not yet available", "error", err)
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lastStatus = status
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continue
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}
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switch status {
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case ServerStatusLoadingModel:
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// TODO - this state never seems to happen with the current server.cpp code (bug?)
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// it doesn't respond to the health endpoint until after the model is loaded
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slog.Debug("loading model")
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case ServerStatusReady:
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slog.Debug(fmt.Sprintf("llama runner started in %f seconds", time.Since(start).Seconds()))
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return nil
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}
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}
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}
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}
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const jsonGrammar = `
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root ::= object
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value ::= object | array | string | number | ("true" | "false" | "null") ws
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object ::=
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"{" ws (
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string ":" ws value
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("," ws string ":" ws value)*
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)? "}" ws
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array ::=
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"[" ws (
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value
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("," ws value)*
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)? "]" ws
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string ::=
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"\"" (
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[^"\\] |
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"\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F]) # escapes
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)* "\"" ws
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number ::= ("-"? ([0-9] | [1-9] [0-9]*)) ("." [0-9]+)? ([eE] [-+]? [0-9]+)? ws
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# Optional space: by convention, applied in this grammar after literal chars when allowed
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ws ::= ([ \t\n] ws)?
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`
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const maxBufferSize = 512 * format.KiloByte
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const maxRetries = 3
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type ImageData struct {
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Data []byte `json:"data"`
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ID int `json:"id"`
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}
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type completion struct {
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Content string `json:"content"`
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Model string `json:"model"`
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Prompt string `json:"prompt"`
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Stop bool `json:"stop"`
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Timings struct {
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PredictedN int `json:"predicted_n"`
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PredictedMS float64 `json:"predicted_ms"`
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PromptN int `json:"prompt_n"`
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PromptMS float64 `json:"prompt_ms"`
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}
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}
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type CompletionRequest struct {
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Prompt string
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Format string
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Images []ImageData
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Options api.Options
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}
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type CompletionResponse struct {
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Content string
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Done bool
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PromptEvalCount int
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PromptEvalDuration time.Duration
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EvalCount int
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EvalDuration time.Duration
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}
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func (s *LlamaServer) Completion(ctx context.Context, req CompletionRequest, fn func(CompletionResponse)) error {
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request := map[string]any{
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"prompt": req.Prompt,
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"stream": true,
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"n_predict": req.Options.NumPredict,
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"n_keep": req.Options.NumKeep,
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"main_gpu": req.Options.MainGPU,
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"temperature": req.Options.Temperature,
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"top_k": req.Options.TopK,
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"top_p": req.Options.TopP,
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"tfs_z": req.Options.TFSZ,
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"typical_p": req.Options.TypicalP,
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"repeat_last_n": req.Options.RepeatLastN,
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"repeat_penalty": req.Options.RepeatPenalty,
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"presence_penalty": req.Options.PresencePenalty,
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"frequency_penalty": req.Options.FrequencyPenalty,
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"mirostat": req.Options.Mirostat,
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"mirostat_tau": req.Options.MirostatTau,
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"mirostat_eta": req.Options.MirostatEta,
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"penalize_nl": req.Options.PenalizeNewline,
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"seed": req.Options.Seed,
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"stop": req.Options.Stop,
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"image_data": req.Images,
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"cache_prompt": true,
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}
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// Make sure the server is ready
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status, err := s.getServerStatus(ctx)
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if err != nil {
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return err
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} else if status != ServerStatusReady {
|
|
return fmt.Errorf("unexpected server status: %d", status)
|
|
}
|
|
|
|
if req.Format == "json" {
|
|
request["grammar"] = jsonGrammar
|
|
if !strings.Contains(strings.ToLower(req.Prompt), "json") {
|
|
slog.Warn("Prompt does not specify that the LLM should response in JSON, but JSON format is expected. For best results specify that JSON is expected in the system prompt.")
|
|
}
|
|
}
|
|
|
|
retryDelay := 100 * time.Microsecond
|
|
for retries := 0; retries < maxRetries; retries++ {
|
|
if retries > 0 {
|
|
time.Sleep(retryDelay) // wait before retrying
|
|
retryDelay *= 2 // exponential backoff
|
|
}
|
|
|
|
// Handling JSON marshaling with special characters unescaped.
|
|
buffer := &bytes.Buffer{}
|
|
enc := json.NewEncoder(buffer)
|
|
enc.SetEscapeHTML(false)
|
|
|
|
if err := enc.Encode(request); err != nil {
|
|
return fmt.Errorf("failed to marshal data: %v", err)
|
|
}
|
|
|
|
endpoint := fmt.Sprintf("http://127.0.0.1:%d/completion", s.port)
|
|
req, err := http.NewRequestWithContext(ctx, http.MethodPost, endpoint, buffer)
|
|
if err != nil {
|
|
return fmt.Errorf("error creating POST request: %v", err)
|
|
}
|
|
req.Header.Set("Content-Type", "application/json")
|
|
|
|
resp, err := http.DefaultClient.Do(req)
|
|
if err != nil {
|
|
return fmt.Errorf("POST predict: %v", err)
|
|
}
|
|
defer resp.Body.Close()
|
|
|
|
if resp.StatusCode >= 400 {
|
|
bodyBytes, err := io.ReadAll(resp.Body)
|
|
if err != nil {
|
|
return fmt.Errorf("failed reading llm error response: %w", err)
|
|
}
|
|
log.Printf("llm predict error: %s", bodyBytes)
|
|
return fmt.Errorf("%s", bodyBytes)
|
|
}
|
|
|
|
scanner := bufio.NewScanner(resp.Body)
|
|
buf := make([]byte, 0, maxBufferSize)
|
|
scanner.Buffer(buf, maxBufferSize)
|
|
|
|
retryNeeded := false
|
|
// keep track of the last token generated, this is used to abort if the model starts looping
|
|
var lastToken string
|
|
var tokenRepeat int
|
|
|
|
for scanner.Scan() {
|
|
select {
|
|
case <-ctx.Done():
|
|
// This handles the request cancellation
|
|
return ctx.Err()
|
|
default:
|
|
line := scanner.Bytes()
|
|
if len(line) == 0 {
|
|
continue
|
|
}
|
|
|
|
// try again on slot unavailable
|
|
if bytes.Contains(line, []byte("slot unavailable")) {
|
|
retryNeeded = true
|
|
break
|
|
}
|
|
|
|
evt, ok := bytes.CutPrefix(line, []byte("data: "))
|
|
if !ok {
|
|
return fmt.Errorf("error parsing llm response stream: %s", line)
|
|
}
|
|
|
|
var c completion
|
|
if err := json.Unmarshal(evt, &c); err != nil {
|
|
return fmt.Errorf("error unmarshaling llm prediction response: %v", err)
|
|
}
|
|
|
|
switch {
|
|
case strings.TrimSpace(c.Content) == lastToken:
|
|
tokenRepeat++
|
|
default:
|
|
lastToken = strings.TrimSpace(c.Content)
|
|
tokenRepeat = 0
|
|
}
|
|
|
|
// 30 picked as an arbitrary max token repeat limit, modify as needed
|
|
if tokenRepeat > 30 {
|
|
slog.Debug("prediction aborted, token repeat limit reached")
|
|
return ctx.Err()
|
|
}
|
|
|
|
if c.Content != "" {
|
|
fn(CompletionResponse{
|
|
Content: c.Content,
|
|
})
|
|
}
|
|
|
|
if c.Stop {
|
|
fn(CompletionResponse{
|
|
Done: true,
|
|
PromptEvalCount: c.Timings.PromptN,
|
|
PromptEvalDuration: parseDurationMs(c.Timings.PromptMS),
|
|
EvalCount: c.Timings.PredictedN,
|
|
EvalDuration: parseDurationMs(c.Timings.PredictedMS),
|
|
})
|
|
return nil
|
|
}
|
|
}
|
|
}
|
|
|
|
if err := scanner.Err(); err != nil {
|
|
if strings.Contains(err.Error(), "unexpected EOF") {
|
|
s.Close()
|
|
msg := ""
|
|
if s.status != nil && s.status.LastErrMsg != "" {
|
|
msg = s.status.LastErrMsg
|
|
}
|
|
|
|
return fmt.Errorf("an unknown error was encountered while running the model %s", msg)
|
|
}
|
|
return fmt.Errorf("error reading llm response: %v", err)
|
|
}
|
|
|
|
if !retryNeeded {
|
|
return nil // success
|
|
}
|
|
}
|
|
|
|
// should never reach here ideally
|
|
return fmt.Errorf("max retries exceeded")
|
|
}
|
|
|
|
type EmbeddingRequest struct {
|
|
Content string `json:"content"`
|
|
}
|
|
|
|
type EmbeddingResponse struct {
|
|
Embedding []float64 `json:"embedding"`
|
|
}
|
|
|
|
func (s *LlamaServer) Embedding(ctx context.Context, prompt string) ([]float64, error) {
|
|
// Make sure the server is ready
|
|
status, err := s.getServerStatus(ctx)
|
|
if err != nil {
|
|
return nil, err
|
|
} else if status != ServerStatusReady {
|
|
return nil, fmt.Errorf("unexpected server status: %d", status)
|
|
}
|
|
|
|
data, err := json.Marshal(TokenizeRequest{Content: prompt})
|
|
if err != nil {
|
|
return nil, fmt.Errorf("error marshaling embed data: %w", err)
|
|
}
|
|
|
|
req, err := http.NewRequestWithContext(ctx, http.MethodPost, fmt.Sprintf("http://127.0.0.1:%d/embedding", s.port), bytes.NewBuffer(data))
|
|
if err != nil {
|
|
return nil, fmt.Errorf("error creating embed request: %w", err)
|
|
}
|
|
req.Header.Set("Content-Type", "application/json")
|
|
|
|
resp, err := http.DefaultClient.Do(req)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("do embedding request: %w", err)
|
|
}
|
|
defer resp.Body.Close()
|
|
|
|
body, err := io.ReadAll(resp.Body)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("error reading embed response: %w", err)
|
|
}
|
|
|
|
if resp.StatusCode >= 400 {
|
|
log.Printf("llm encode error: %s", body)
|
|
return nil, fmt.Errorf("%s", body)
|
|
}
|
|
|
|
var embedding EmbeddingResponse
|
|
if err := json.Unmarshal(body, &embedding); err != nil {
|
|
return nil, fmt.Errorf("unmarshal tokenize response: %w", err)
|
|
}
|
|
|
|
return embedding.Embedding, nil
|
|
}
|
|
|
|
type TokenizeRequest struct {
|
|
Content string `json:"content"`
|
|
}
|
|
|
|
type TokenizeResponse struct {
|
|
Tokens []int `json:"tokens"`
|
|
}
|
|
|
|
func (s *LlamaServer) Tokenize(ctx context.Context, content string) ([]int, error) {
|
|
// Make sure the server is ready
|
|
status, err := s.getServerStatus(ctx)
|
|
if err != nil {
|
|
return nil, err
|
|
} else if status != ServerStatusReady {
|
|
return nil, fmt.Errorf("unexpected server status: %d", status)
|
|
}
|
|
|
|
data, err := json.Marshal(TokenizeRequest{Content: content})
|
|
if err != nil {
|
|
return nil, fmt.Errorf("marshaling encode data: %w", err)
|
|
}
|
|
|
|
req, err := http.NewRequestWithContext(ctx, http.MethodPost, fmt.Sprintf("http://127.0.0.1:%d/tokenize", s.port), bytes.NewBuffer(data))
|
|
if err != nil {
|
|
return nil, fmt.Errorf("encode request: %w", err)
|
|
}
|
|
req.Header.Set("Content-Type", "application/json")
|
|
|
|
resp, err := http.DefaultClient.Do(req)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("do encode request: %w", err)
|
|
}
|
|
defer resp.Body.Close()
|
|
|
|
body, err := io.ReadAll(resp.Body)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("read encode request: %w", err)
|
|
}
|
|
|
|
if resp.StatusCode >= 400 {
|
|
log.Printf("llm encode error: %s", body)
|
|
return nil, fmt.Errorf("%s", body)
|
|
}
|
|
|
|
var encoded TokenizeResponse
|
|
if err := json.Unmarshal(body, &encoded); err != nil {
|
|
return nil, fmt.Errorf("unmarshal encode response: %w", err)
|
|
}
|
|
|
|
return encoded.Tokens, nil
|
|
}
|
|
|
|
type DetokenizeRequest struct {
|
|
Tokens []int `json:"tokens"`
|
|
}
|
|
|
|
type DetokenizeResponse struct {
|
|
Content string `json:"content"`
|
|
}
|
|
|
|
func (s *LlamaServer) Detokenize(ctx context.Context, tokens []int) (string, error) {
|
|
// Make sure the server is ready
|
|
status, err := s.getServerStatus(ctx)
|
|
if err != nil {
|
|
return "", err
|
|
} else if status != ServerStatusReady {
|
|
return "", fmt.Errorf("unexpected server status: %d", status)
|
|
}
|
|
|
|
data, err := json.Marshal(DetokenizeRequest{Tokens: tokens})
|
|
if err != nil {
|
|
return "", fmt.Errorf("marshaling decode data: %w", err)
|
|
}
|
|
|
|
req, err := http.NewRequestWithContext(ctx, http.MethodPost, fmt.Sprintf("http://127.0.0.1:%d/detokenize", s.port), bytes.NewBuffer(data))
|
|
if err != nil {
|
|
return "", fmt.Errorf("decode request: %w", err)
|
|
}
|
|
req.Header.Set("Content-Type", "application/json")
|
|
|
|
resp, err := http.DefaultClient.Do(req)
|
|
if err != nil {
|
|
return "", fmt.Errorf("do decode request: %w", err)
|
|
}
|
|
defer resp.Body.Close()
|
|
|
|
body, err := io.ReadAll(resp.Body)
|
|
if err != nil {
|
|
return "", fmt.Errorf("read decode request: %w", err)
|
|
}
|
|
|
|
if resp.StatusCode >= 400 {
|
|
log.Printf("llm decode error: %s", body)
|
|
return "", fmt.Errorf("%s", body)
|
|
}
|
|
|
|
var decoded DetokenizeResponse
|
|
if err := json.Unmarshal(body, &decoded); err != nil {
|
|
return "", fmt.Errorf("unmarshal encode response: %w", err)
|
|
}
|
|
|
|
return decoded.Content, nil
|
|
}
|
|
|
|
func (s *LlamaServer) Close() error {
|
|
if s.cmd != nil {
|
|
slog.Debug("stopping llama server")
|
|
return s.cmd.Process.Kill()
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
func parseDurationMs(ms float64) time.Duration {
|
|
dur, err := time.ParseDuration(fmt.Sprintf("%fms", ms))
|
|
if err != nil {
|
|
panic(err)
|
|
}
|
|
|
|
return dur
|
|
}
|