Files
ollama37/middleware/openai.go
Shang Chieh Tseng ef14fb5b26 Sync with upstream ollama/ollama and restore Tesla K80 (compute 3.7) support
This commit represents a complete rework after pulling the latest changes from
official ollama/ollama repository and re-applying Tesla K80 compatibility patches.

## Key Changes

### CUDA Compute Capability 3.7 Support (Tesla K80)
- Added sm_37 (compute 3.7) to CMAKE_CUDA_ARCHITECTURES in CMakeLists.txt
- Updated CMakePresets.json to include compute 3.7 in "CUDA 11" preset
- Using 37-virtual (PTX with JIT compilation) for maximum compatibility

### Legacy Toolchain Compatibility
- **NVIDIA Driver**: 470.256.02 (last version supporting Kepler/K80)
- **CUDA Version**: 11.4.4 (last CUDA 11.x supporting compute 3.7)
- **GCC Version**: 10.5.0 (required by CUDA 11.4 host_config.h)

### CPU Architecture Trade-offs
Due to GCC 10.5 limitation, sacrificed newer CPU optimizations:
- Alderlake CPU variant enabled WITHOUT AVX_VNNI (requires GCC 11+)
- Still supports: SSE4.2, AVX, F16C, AVX2, BMI2, FMA
- Performance impact: ~3-7% on newer CPUs (acceptable for K80 compatibility)

### Build System Updates
- Modified ml/backend/ggml/ggml/src/ggml-cuda/CMakeLists.txt for compute 3.7
- Added -Wno-deprecated-gpu-targets flag to suppress warnings
- Updated ml/backend/ggml/ggml/src/CMakeLists.txt for Alderlake without AVX_VNNI

### Upstream Sync
Merged latest llama.cpp changes including:
- Enhanced KV cache management with ISWA and hybrid memory support
- Improved multi-modal support (mtmd framework)
- New model architectures (Gemma3, Llama4, Qwen3, etc.)
- GPU backend improvements for CUDA, Metal, and ROCm
- Updated quantization support and GGUF format handling

### Documentation
- Updated CLAUDE.md with comprehensive build instructions
- Documented toolchain constraints and CPU architecture trade-offs
- Removed outdated CI/CD workflows (tesla-k80-*.yml)
- Cleaned up temporary development artifacts

## Rationale

This fork maintains Tesla K80 GPU support (compute 3.7) which was dropped in
official Ollama due to legacy driver/CUDA requirements. The toolchain constraint
creates a deadlock:
- K80 → Driver 470 → CUDA 11.4 → GCC 10 → No AVX_VNNI

We accept the loss of cutting-edge CPU optimizations to enable running modern
LLMs on legacy but still capable Tesla K80 hardware (12GB VRAM per GPU).

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-05 14:03:05 +08:00

436 lines
10 KiB
Go

package middleware
import (
"bytes"
"encoding/json"
"fmt"
"io"
"math/rand"
"net/http"
"strings"
"github.com/gin-gonic/gin"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/openai"
)
type BaseWriter struct {
gin.ResponseWriter
}
type ChatWriter struct {
stream bool
streamOptions *openai.StreamOptions
id string
toolCallSent bool
BaseWriter
}
type CompleteWriter struct {
stream bool
streamOptions *openai.StreamOptions
id string
BaseWriter
}
type ListWriter struct {
BaseWriter
}
type RetrieveWriter struct {
BaseWriter
model string
}
type EmbedWriter struct {
BaseWriter
model string
encodingFormat string
}
func (w *BaseWriter) writeError(data []byte) (int, error) {
var serr api.StatusError
err := json.Unmarshal(data, &serr)
if err != nil {
return 0, err
}
w.ResponseWriter.Header().Set("Content-Type", "application/json")
err = json.NewEncoder(w.ResponseWriter).Encode(openai.NewError(http.StatusInternalServerError, serr.Error()))
if err != nil {
return 0, err
}
return len(data), nil
}
func (w *ChatWriter) writeResponse(data []byte) (int, error) {
var chatResponse api.ChatResponse
err := json.Unmarshal(data, &chatResponse)
if err != nil {
return 0, err
}
// chat chunk
if w.stream {
c := openai.ToChunk(w.id, chatResponse, w.toolCallSent)
d, err := json.Marshal(c)
if err != nil {
return 0, err
}
if !w.toolCallSent && len(c.Choices) > 0 && len(c.Choices[0].Delta.ToolCalls) > 0 {
w.toolCallSent = true
}
w.ResponseWriter.Header().Set("Content-Type", "text/event-stream")
_, err = w.ResponseWriter.Write([]byte(fmt.Sprintf("data: %s\n\n", d)))
if err != nil {
return 0, err
}
if chatResponse.Done {
if w.streamOptions != nil && w.streamOptions.IncludeUsage {
u := openai.ToUsage(chatResponse)
c.Usage = &u
c.Choices = []openai.ChunkChoice{}
d, err := json.Marshal(c)
if err != nil {
return 0, err
}
_, err = w.ResponseWriter.Write([]byte(fmt.Sprintf("data: %s\n\n", d)))
if err != nil {
return 0, err
}
}
_, err = w.ResponseWriter.Write([]byte("data: [DONE]\n\n"))
if err != nil {
return 0, err
}
}
return len(data), nil
}
// chat completion
w.ResponseWriter.Header().Set("Content-Type", "application/json")
err = json.NewEncoder(w.ResponseWriter).Encode(openai.ToChatCompletion(w.id, chatResponse))
if err != nil {
return 0, err
}
return len(data), nil
}
func (w *ChatWriter) Write(data []byte) (int, error) {
code := w.ResponseWriter.Status()
if code != http.StatusOK {
return w.writeError(data)
}
return w.writeResponse(data)
}
func (w *CompleteWriter) writeResponse(data []byte) (int, error) {
var generateResponse api.GenerateResponse
err := json.Unmarshal(data, &generateResponse)
if err != nil {
return 0, err
}
// completion chunk
if w.stream {
c := openai.ToCompleteChunk(w.id, generateResponse)
if w.streamOptions != nil && w.streamOptions.IncludeUsage {
c.Usage = &openai.Usage{}
}
d, err := json.Marshal(c)
if err != nil {
return 0, err
}
w.ResponseWriter.Header().Set("Content-Type", "text/event-stream")
_, err = w.ResponseWriter.Write([]byte(fmt.Sprintf("data: %s\n\n", d)))
if err != nil {
return 0, err
}
if generateResponse.Done {
if w.streamOptions != nil && w.streamOptions.IncludeUsage {
u := openai.ToUsageGenerate(generateResponse)
c.Usage = &u
c.Choices = []openai.CompleteChunkChoice{}
d, err := json.Marshal(c)
if err != nil {
return 0, err
}
_, err = w.ResponseWriter.Write([]byte(fmt.Sprintf("data: %s\n\n", d)))
if err != nil {
return 0, err
}
}
_, err = w.ResponseWriter.Write([]byte("data: [DONE]\n\n"))
if err != nil {
return 0, err
}
}
return len(data), nil
}
// completion
w.ResponseWriter.Header().Set("Content-Type", "application/json")
err = json.NewEncoder(w.ResponseWriter).Encode(openai.ToCompletion(w.id, generateResponse))
if err != nil {
return 0, err
}
return len(data), nil
}
func (w *CompleteWriter) Write(data []byte) (int, error) {
code := w.ResponseWriter.Status()
if code != http.StatusOK {
return w.writeError(data)
}
return w.writeResponse(data)
}
func (w *ListWriter) writeResponse(data []byte) (int, error) {
var listResponse api.ListResponse
err := json.Unmarshal(data, &listResponse)
if err != nil {
return 0, err
}
w.ResponseWriter.Header().Set("Content-Type", "application/json")
err = json.NewEncoder(w.ResponseWriter).Encode(openai.ToListCompletion(listResponse))
if err != nil {
return 0, err
}
return len(data), nil
}
func (w *ListWriter) Write(data []byte) (int, error) {
code := w.ResponseWriter.Status()
if code != http.StatusOK {
return w.writeError(data)
}
return w.writeResponse(data)
}
func (w *RetrieveWriter) writeResponse(data []byte) (int, error) {
var showResponse api.ShowResponse
err := json.Unmarshal(data, &showResponse)
if err != nil {
return 0, err
}
// retrieve completion
w.ResponseWriter.Header().Set("Content-Type", "application/json")
err = json.NewEncoder(w.ResponseWriter).Encode(openai.ToModel(showResponse, w.model))
if err != nil {
return 0, err
}
return len(data), nil
}
func (w *RetrieveWriter) Write(data []byte) (int, error) {
code := w.ResponseWriter.Status()
if code != http.StatusOK {
return w.writeError(data)
}
return w.writeResponse(data)
}
func (w *EmbedWriter) writeResponse(data []byte) (int, error) {
var embedResponse api.EmbedResponse
err := json.Unmarshal(data, &embedResponse)
if err != nil {
return 0, err
}
w.ResponseWriter.Header().Set("Content-Type", "application/json")
err = json.NewEncoder(w.ResponseWriter).Encode(openai.ToEmbeddingList(w.model, embedResponse, w.encodingFormat))
if err != nil {
return 0, err
}
return len(data), nil
}
func (w *EmbedWriter) Write(data []byte) (int, error) {
code := w.ResponseWriter.Status()
if code != http.StatusOK {
return w.writeError(data)
}
return w.writeResponse(data)
}
func ListMiddleware() gin.HandlerFunc {
return func(c *gin.Context) {
w := &ListWriter{
BaseWriter: BaseWriter{ResponseWriter: c.Writer},
}
c.Writer = w
c.Next()
}
}
func RetrieveMiddleware() gin.HandlerFunc {
return func(c *gin.Context) {
var b bytes.Buffer
if err := json.NewEncoder(&b).Encode(api.ShowRequest{Name: c.Param("model")}); err != nil {
c.AbortWithStatusJSON(http.StatusInternalServerError, openai.NewError(http.StatusInternalServerError, err.Error()))
return
}
c.Request.Body = io.NopCloser(&b)
w := &RetrieveWriter{
BaseWriter: BaseWriter{ResponseWriter: c.Writer},
model: c.Param("model"),
}
c.Writer = w
c.Next()
}
}
func CompletionsMiddleware() gin.HandlerFunc {
return func(c *gin.Context) {
var req openai.CompletionRequest
err := c.ShouldBindJSON(&req)
if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, openai.NewError(http.StatusBadRequest, err.Error()))
return
}
var b bytes.Buffer
genReq, err := openai.FromCompleteRequest(req)
if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, openai.NewError(http.StatusBadRequest, err.Error()))
return
}
if err := json.NewEncoder(&b).Encode(genReq); err != nil {
c.AbortWithStatusJSON(http.StatusInternalServerError, openai.NewError(http.StatusInternalServerError, err.Error()))
return
}
c.Request.Body = io.NopCloser(&b)
w := &CompleteWriter{
BaseWriter: BaseWriter{ResponseWriter: c.Writer},
stream: req.Stream,
id: fmt.Sprintf("cmpl-%d", rand.Intn(999)),
streamOptions: req.StreamOptions,
}
c.Writer = w
c.Next()
}
}
func EmbeddingsMiddleware() gin.HandlerFunc {
return func(c *gin.Context) {
var req openai.EmbedRequest
err := c.ShouldBindJSON(&req)
if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, openai.NewError(http.StatusBadRequest, err.Error()))
return
}
// Validate encoding_format parameter
if req.EncodingFormat != "" {
if !strings.EqualFold(req.EncodingFormat, "float") && !strings.EqualFold(req.EncodingFormat, "base64") {
c.AbortWithStatusJSON(http.StatusBadRequest, openai.NewError(http.StatusBadRequest, fmt.Sprintf("Invalid value for 'encoding_format' = %s. Supported values: ['float', 'base64'].", req.EncodingFormat)))
return
}
}
if req.Input == "" {
req.Input = []string{""}
}
if req.Input == nil {
c.AbortWithStatusJSON(http.StatusBadRequest, openai.NewError(http.StatusBadRequest, "invalid input"))
return
}
if v, ok := req.Input.([]any); ok && len(v) == 0 {
c.AbortWithStatusJSON(http.StatusBadRequest, openai.NewError(http.StatusBadRequest, "invalid input"))
return
}
var b bytes.Buffer
if err := json.NewEncoder(&b).Encode(api.EmbedRequest{Model: req.Model, Input: req.Input, Dimensions: req.Dimensions}); err != nil {
c.AbortWithStatusJSON(http.StatusInternalServerError, openai.NewError(http.StatusInternalServerError, err.Error()))
return
}
c.Request.Body = io.NopCloser(&b)
w := &EmbedWriter{
BaseWriter: BaseWriter{ResponseWriter: c.Writer},
model: req.Model,
encodingFormat: req.EncodingFormat,
}
c.Writer = w
c.Next()
}
}
func ChatMiddleware() gin.HandlerFunc {
return func(c *gin.Context) {
var req openai.ChatCompletionRequest
err := c.ShouldBindJSON(&req)
if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, openai.NewError(http.StatusBadRequest, err.Error()))
return
}
if len(req.Messages) == 0 {
c.AbortWithStatusJSON(http.StatusBadRequest, openai.NewError(http.StatusBadRequest, "[] is too short - 'messages'"))
return
}
var b bytes.Buffer
chatReq, err := openai.FromChatRequest(req)
if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, openai.NewError(http.StatusBadRequest, err.Error()))
return
}
if err := json.NewEncoder(&b).Encode(chatReq); err != nil {
c.AbortWithStatusJSON(http.StatusInternalServerError, openai.NewError(http.StatusInternalServerError, err.Error()))
return
}
c.Request.Body = io.NopCloser(&b)
w := &ChatWriter{
BaseWriter: BaseWriter{ResponseWriter: c.Writer},
stream: req.Stream,
id: fmt.Sprintf("chatcmpl-%d", rand.Intn(999)),
streamOptions: req.StreamOptions,
}
c.Writer = w
c.Next()
}
}