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Commit 00d06619 authored by Jeffrey Morgan's avatar Jeffrey Morgan
Browse files

Revert "chat api (#991)" while context variable is fixed 

This reverts commit 7a0899d6.
parent f1ef3f99
Show whitespace changes
Inline Side-by-side
Showing with 135 additions and 550 deletions
api/client.go
View file @ 00d06619
......@@ -221,19 +221,6 @@ func (c *Client) Generate(ctx context.Context, req *GenerateRequest, fn Generate
})
}
type ChatResponseFunc func(ChatResponse) error
func (c *Client) Chat(ctx context.Context, req *ChatRequest, fn ChatResponseFunc) error {
return c.stream(ctx, http.MethodPost, "/api/chat", req, func(bts []byte) error {
var resp ChatResponse
if err := json.Unmarshal(bts, &resp); err != nil {
return err
}
return fn(resp)
})
}
type PullProgressFunc func(ProgressResponse) error
func (c *Client) Pull(ctx context.Context, req *PullRequest, fn PullProgressFunc) error {
......
api/types.go
View file @ 00d06619
......@@ -36,7 +36,7 @@ type GenerateRequest struct {
Prompt string `json:"prompt"`
System string `json:"system"`
Template string `json:"template"`
Context []int `json:"context,omitempty"` // DEPRECATED: context is deprecated, use the /chat endpoint instead for chat history
Context []int `json:"context,omitempty"`
Stream *bool `json:"stream,omitempty"`
Raw bool `json:"raw,omitempty"`
Format string `json:"format"`
......@@ -44,41 +44,6 @@ type GenerateRequest struct {
Options map[string]interface{} `json:"options"`
}
type ChatRequest struct {
Model string `json:"model"`
Messages []Message `json:"messages"`
Template string `json:"template"`
Stream *bool `json:"stream,omitempty"`
Format string `json:"format"`
Options map[string]interface{} `json:"options"`
}
type Message struct {
Role string `json:"role"` // one of ["system", "user", "assistant"]
Content string `json:"content"`
}
type ChatResponse struct {
Model string `json:"model"`
CreatedAt time.Time `json:"created_at"`
Message *Message `json:"message,omitempty"`
Done bool `json:"done"`
Context []int `json:"context,omitempty"`
EvalMetrics
}
type EvalMetrics struct {
TotalDuration time.Duration `json:"total_duration,omitempty"`
LoadDuration time.Duration `json:"load_duration,omitempty"`
PromptEvalCount int `json:"prompt_eval_count,omitempty"`
PromptEvalDuration time.Duration `json:"prompt_eval_duration,omitempty"`
EvalCount int `json:"eval_count,omitempty"`
EvalDuration time.Duration `json:"eval_duration,omitempty"`
}
// Options specfied in GenerateRequest, if you add a new option here add it to the API docs also
type Options struct {
Runner
......@@ -208,34 +173,39 @@ type GenerateResponse struct {
Done bool `json:"done"`
Context []int `json:"context,omitempty"`
EvalMetrics
TotalDuration time.Duration `json:"total_duration,omitempty"`
LoadDuration time.Duration `json:"load_duration,omitempty"`
PromptEvalCount int `json:"prompt_eval_count,omitempty"`
PromptEvalDuration time.Duration `json:"prompt_eval_duration,omitempty"`
EvalCount int `json:"eval_count,omitempty"`
EvalDuration time.Duration `json:"eval_duration,omitempty"`
}
func (m *EvalMetrics) Summary() {
if m.TotalDuration > 0 {
fmt.Fprintf(os.Stderr, "total duration: %v\n", m.TotalDuration)
func (r *GenerateResponse) Summary() {
if r.TotalDuration > 0 {
fmt.Fprintf(os.Stderr, "total duration: %v\n", r.TotalDuration)
}
if m.LoadDuration > 0 {
fmt.Fprintf(os.Stderr, "load duration: %v\n", m.LoadDuration)
if r.LoadDuration > 0 {
fmt.Fprintf(os.Stderr, "load duration: %v\n", r.LoadDuration)
}
if m.PromptEvalCount > 0 {
fmt.Fprintf(os.Stderr, "prompt eval count: %d token(s)\n", m.PromptEvalCount)
if r.PromptEvalCount > 0 {
fmt.Fprintf(os.Stderr, "prompt eval count: %d token(s)\n", r.PromptEvalCount)
}
if m.PromptEvalDuration > 0 {
fmt.Fprintf(os.Stderr, "prompt eval duration: %s\n", m.PromptEvalDuration)
fmt.Fprintf(os.Stderr, "prompt eval rate: %.2f tokens/s\n", float64(m.PromptEvalCount)/m.PromptEvalDuration.Seconds())
if r.PromptEvalDuration > 0 {
fmt.Fprintf(os.Stderr, "prompt eval duration: %s\n", r.PromptEvalDuration)
fmt.Fprintf(os.Stderr, "prompt eval rate: %.2f tokens/s\n", float64(r.PromptEvalCount)/r.PromptEvalDuration.Seconds())
}
if m.EvalCount > 0 {
fmt.Fprintf(os.Stderr, "eval count: %d token(s)\n", m.EvalCount)
if r.EvalCount > 0 {
fmt.Fprintf(os.Stderr, "eval count: %d token(s)\n", r.EvalCount)
}
if m.EvalDuration > 0 {
fmt.Fprintf(os.Stderr, "eval duration: %s\n", m.EvalDuration)
fmt.Fprintf(os.Stderr, "eval rate: %.2f tokens/s\n", float64(m.EvalCount)/m.EvalDuration.Seconds())
if r.EvalDuration > 0 {
fmt.Fprintf(os.Stderr, "eval duration: %s\n", r.EvalDuration)
fmt.Fprintf(os.Stderr, "eval rate: %.2f tokens/s\n", float64(r.EvalCount)/r.EvalDuration.Seconds())
}
}
......
docs/api.md
View file @ 00d06619
......@@ -24,7 +24,7 @@ All durations are returned in nanoseconds.
### Streaming responses
Certain endpoints stream responses as JSON objects.
Certain endpoints stream responses as JSON objects delineated with the newline (`\n`) character.
## Generate a completion
......@@ -32,12 +32,10 @@ Certain endpoints stream responses as JSON objects.
POST /api/generate
```
Generate a response for a given prompt with a provided model. This is a streaming endpoint, so there will be a series of responses. The final response object will include statistics and additional data from the request.
Generate a response for a given prompt with a provided model. This is a streaming endpoint, so will be a series of responses. The final response object will include statistics and additional data from the request.
### Parameters
`model` is required.
- `model`: (required) the [model name](#model-names)
- `prompt`: the prompt to generate a response for
......@@ -45,10 +43,11 @@ Advanced parameters (optional):
- `format`: the format to return a response in. Currently the only accepted value is `json`
- `options`: additional model parameters listed in the documentation for the [Modelfile](./modelfile.md#valid-parameters-and-values) such as `temperature`
- `template`: the full prompt or prompt template (overrides what is defined in the `Modelfile`)
- `system`: system prompt to (overrides what is defined in the `Modelfile`)
- `template`: the full prompt or prompt template (overrides what is defined in the `Modelfile`)
- `context`: the context parameter returned from a previous request to `/generate`, this can be used to keep a short conversational memory
- `stream`: if `false` the response will be returned as a single response object, rather than a stream of objects
- `raw`: if `true` no formatting will be applied to the prompt. You may choose to use the `raw` parameter if you are specifying a full templated prompt in your request to the API.
- `raw`: if `true` no formatting will be applied to the prompt and no context will be returned. You may choose to use the `raw` parameter if you are specifying a full templated prompt in your request to the API, and are managing history yourself.
### JSON mode
......@@ -58,7 +57,7 @@ Enable JSON mode by setting the `format` parameter to `json`. This will structur
### Examples
#### Request (Prompt)
#### Request
```shell
curl http://localhost:11434/api/generate -d '{
......@@ -90,7 +89,7 @@ The final response in the stream also includes additional data about the generat
- `prompt_eval_duration`: time spent in nanoseconds evaluating the prompt
- `eval_count`: number of tokens the response
- `eval_duration`: time in nanoseconds spent generating the response
- `context`: deprecated, an encoding of the conversation used in this response, this can be sent in the next request to keep a conversational memory
- `context`: an encoding of the conversation used in this response, this can be sent in the next request to keep a conversational memory
- `response`: empty if the response was streamed, if not streamed, this will contain the full response
To calculate how fast the response is generated in tokens per second (token/s), divide `eval_count` / `eval_duration`.
......@@ -115,8 +114,6 @@ To calculate how fast the response is generated in tokens per second (token/s),
#### Request (No streaming)
A response can be recieved in one reply when streaming is off.
```shell
curl http://localhost:11434/api/generate -d '{
"model": "llama2",
......@@ -147,9 +144,9 @@ If `stream` is set to `false`, the response will be a single JSON object:
}
```
#### Request (Raw Mode)
#### Request (Raw mode)
In some cases you may wish to bypass the templating system and provide a full prompt. In this case, you can use the `raw` parameter to disable formatting.
In some cases you may wish to bypass the templating system and provide a full prompt. In this case, you can use the `raw` parameter to disable formatting and context.
```shell
curl http://localhost:11434/api/generate -d '{
......@@ -167,7 +164,6 @@ curl http://localhost:11434/api/generate -d '{
"model": "mistral",
"created_at": "2023-11-03T15:36:02.583064Z",
"response": " The sky appears blue because of a phenomenon called Rayleigh scattering.",
"context": [1, 2, 3],
"done": true,
"total_duration": 14648695333,
"load_duration": 3302671417,
......@@ -279,6 +275,7 @@ curl http://localhost:11434/api/generate -d '{
"model": "llama2",
"created_at": "2023-08-04T19:22:45.499127Z",
"response": "The sky is blue because it is the color of the sky.",
"context": [1, 2, 3],
"done": true,
"total_duration": 5589157167,
"load_duration": 3013701500,
......@@ -291,135 +288,6 @@ curl http://localhost:11434/api/generate -d '{
}
```
## Send Chat Messages
```shell
POST /api/chat
```
Generate the next message in a chat with a provided model. This is a streaming endpoint, so there will be a series of responses. The final response object will include statistics and additional data from the request.
### Parameters
`model` is required.
- `model`: (required) the [model name](#model-names)
- `messages`: the messages of the chat, this can be used to keep a chat memory
Advanced parameters (optional):
- `format`: the format to return a response in. Currently the only accepted value is `json`
- `options`: additional model parameters listed in the documentation for the [Modelfile](./modelfile.md#valid-parameters-and-values) such as `temperature`
- `template`: the full prompt or prompt template (overrides what is defined in the `Modelfile`)
- `stream`: if `false` the response will be returned as a single response object, rather than a stream of objects
### Examples
#### Request
Send a chat message with a streaming response.
```shell
curl http://localhost:11434/api/generate -d '{
"model": "llama2",
"messages": [
{
"role": "user",
"content": "why is the sky blue?"
}
]
}'
```
#### Response
A stream of JSON objects is returned:
```json
{
"model": "llama2",
"created_at": "2023-08-04T08:52:19.385406455-07:00",
"message": {
"role": "assisant",
"content": "The"
},
"done": false
}
```
Final response:
```json
{
"model": "llama2",
"created_at": "2023-08-04T19:22:45.499127Z",
"done": true,
"total_duration": 5589157167,
"load_duration": 3013701500,
"sample_count": 114,
"sample_duration": 81442000,
"prompt_eval_count": 46,
"prompt_eval_duration": 1160282000,
"eval_count": 113,
"eval_duration": 1325948000
}
```
#### Request (With History)
Send a chat message with a conversation history.
```shell
curl http://localhost:11434/api/generate -d '{
"model": "llama2",
"messages": [
{
"role": "user",
"content": "why is the sky blue?"
},
{
"role": "assistant",
"content": "due to rayleigh scattering."
},
{
"role": "user",
"content": "how is that different than mie scattering?"
}
]
}'
```
#### Response
A stream of JSON objects is returned:
```json
{
"model": "llama2",
"created_at": "2023-08-04T08:52:19.385406455-07:00",
"message": {
"role": "assisant",
"content": "The"
},
"done": false
}
```
Final response:
```json
{
"model": "llama2",
"created_at": "2023-08-04T19:22:45.499127Z",
"done": true,
"total_duration": 5589157167,
"load_duration": 3013701500,
"sample_count": 114,
"sample_duration": 81442000,
"prompt_eval_count": 46,
"prompt_eval_duration": 1160282000,
"eval_count": 113,
"eval_duration": 1325948000
}
```
## Create a Model
```shell
......
llm/llama.go
View file @ 00d06619
......@@ -531,31 +531,21 @@ type prediction struct {
const maxBufferSize = 512 * format.KiloByte
type PredictRequest struct {
Model string
Prompt string
Format string
CheckpointStart time.Time
CheckpointLoaded time.Time
}
type PredictResponse struct {
Model string
CreatedAt time.Time
TotalDuration time.Duration
LoadDuration time.Duration
Content string
Done bool
PromptEvalCount int
PromptEvalDuration time.Duration
EvalCount int
EvalDuration time.Duration
Context []int
}
func (llm *llama) Predict(ctx context.Context, predict PredictRequest, fn func(PredictResponse)) error {
func (llm *llama) Predict(ctx context.Context, prevContext []int, prompt string, format string, fn func(api.GenerateResponse)) error {
prevConvo, err := llm.Decode(ctx, prevContext)
if err != nil {
return err
}
// Remove leading spaces from prevConvo if present
prevConvo = strings.TrimPrefix(prevConvo, " ")
var nextContext strings.Builder
nextContext.WriteString(prevConvo)
nextContext.WriteString(prompt)
request := map[string]any{
"prompt": predict.Prompt,
"prompt": nextContext.String(),
"stream": true,
"n_predict": llm.NumPredict,
"n_keep": llm.NumKeep,
......@@ -577,7 +567,7 @@ func (llm *llama) Predict(ctx context.Context, predict PredictRequest, fn func(P
"stop": llm.Stop,
}
if predict.Format == "json" {
if format == "json" {
request["grammar"] = jsonGrammar
}
......@@ -634,25 +624,25 @@ func (llm *llama) Predict(ctx context.Context, predict PredictRequest, fn func(P
}
if p.Content != "" {
fn(PredictResponse{
Model: predict.Model,
CreatedAt: time.Now().UTC(),
Content: p.Content,
})
fn(api.GenerateResponse{Response: p.Content})
nextContext.WriteString(p.Content)
}
if p.Stop {
fn(PredictResponse{
Model: predict.Model,
CreatedAt: time.Now().UTC(),
TotalDuration: time.Since(predict.CheckpointStart),
embd, err := llm.Encode(ctx, nextContext.String())
if err != nil {
return fmt.Errorf("encoding context: %v", err)
}
fn(api.GenerateResponse{
Done: true,
Context: embd,
PromptEvalCount: p.Timings.PromptN,
PromptEvalDuration: parseDurationMs(p.Timings.PromptMS),
EvalCount: p.Timings.PredictedN,
EvalDuration: parseDurationMs(p.Timings.PredictedMS),
})
return nil
}
}
......
llm/llm.go
View file @ 00d06619
......@@ -14,7 +14,7 @@ import (
)
type LLM interface {
Predict(context.Context, PredictRequest, func(PredictResponse)) error
Predict(context.Context, []int, string, string, func(api.GenerateResponse)) error
Embedding(context.Context, string) ([]float64, error)
Encode(context.Context, string) ([]int, error)
Decode(context.Context, []int) (string, error)
......
server/images.go
View file @ 00d06619
......@@ -47,82 +47,37 @@ type Model struct {
Options map[string]interface{}
}
type PromptVars struct {
System string
Prompt string
Response string
}
func (m *Model) Prompt(request api.GenerateRequest) (string, error) {
t := m.Template
if request.Template != "" {
t = request.Template
}
func (m *Model) Prompt(p PromptVars) (string, error) {
var prompt strings.Builder
tmpl, err := template.New("").Parse(m.Template)
tmpl, err := template.New("").Parse(t)
if err != nil {
return "", err
}
if p.System == "" {
// use the default system prompt for this model if one is not specified
p.System = m.System
}
var sb strings.Builder
if err := tmpl.Execute(&sb, p); err != nil {
return "", err
var vars struct {
First bool
System string
Prompt string
}
prompt.WriteString(sb.String())
prompt.WriteString(p.Response)
return prompt.String(), nil
}
func (m *Model) ChatPrompt(msgs []api.Message) (string, error) {
// build the prompt from the list of messages
var prompt strings.Builder
currentVars := PromptVars{}
vars.First = len(request.Context) == 0
vars.System = m.System
vars.Prompt = request.Prompt
writePrompt := func() error {
p, err := m.Prompt(currentVars)
if err != nil {
return err
}
prompt.WriteString(p)
currentVars = PromptVars{}
return nil
if request.System != "" {
vars.System = request.System
}
for _, msg := range msgs {
switch msg.Role {
case "system":
if currentVars.Prompt != "" || currentVars.System != "" {
if err := writePrompt(); err != nil {
return "", err
}
}
currentVars.System = msg.Content
case "user":
if currentVars.Prompt != "" || currentVars.System != "" {
if err := writePrompt(); err != nil {
return "", err
}
}
currentVars.Prompt = msg.Content
case "assistant":
currentVars.Response = msg.Content
if err := writePrompt(); err != nil {
return "", err
}
default:
return "", fmt.Errorf("invalid role: %s, role must be one of [system, user, assistant]", msg.Role)
}
}
// Append the last set of vars if they are non-empty
if currentVars.Prompt != "" || currentVars.System != "" {
if err := writePrompt(); err != nil {
var sb strings.Builder
if err := tmpl.Execute(&sb, vars); err != nil {
return "", err
}
}
return prompt.String(), nil
return sb.String(), nil
}
type ManifestV2 struct {
......
server/images_test.go
View file @ 00d06619
......@@ -2,15 +2,17 @@ package server
import (
"testing"
"github.com/jmorganca/ollama/api"
)
func TestModelPrompt(t *testing.T) {
m := Model{
var m Model
req := api.GenerateRequest{
Template: "a{{ .Prompt }}b",
}
s, err := m.Prompt(PromptVars{
Prompt: "<h1>",
})
}
s, err := m.Prompt(req)
if err != nil {
t.Fatal(err)
}
......
server/routes.go
View file @ 00d06619
......@@ -60,26 +60,17 @@ var loaded struct {
var defaultSessionDuration = 5 * time.Minute
// load a model into memory if it is not already loaded, it is up to the caller to lock loaded.mu before calling this function
func load(c *gin.Context, modelName string, reqOpts map[string]interface{}, sessionDuration time.Duration) (*Model, error) {
model, err := GetModel(modelName)
if err != nil {
return nil, err
}
workDir := c.GetString("workDir")
func load(ctx context.Context, workDir string, model *Model, reqOpts map[string]interface{}, sessionDuration time.Duration) error {
opts := api.DefaultOptions()
if err := opts.FromMap(model.Options); err != nil {
log.Printf("could not load model options: %v", err)
return nil, err
return err
}
if err := opts.FromMap(reqOpts); err != nil {
return nil, err
return err
}
ctx := c.Request.Context()
// check if the loaded model is still running in a subprocess, in case something unexpected happened
if loaded.runner != nil {
if err := loaded.runner.Ping(ctx); err != nil {
......@@ -115,7 +106,7 @@ func load(c *gin.Context, modelName string, reqOpts map[string]interface{}, sess
err = fmt.Errorf("%v: this model may be incompatible with your version of Ollama. If you previously pulled this model, try updating it by running `ollama pull %s`", err, model.ShortName)
}
return nil, err
return err
}
loaded.Model = model
......@@ -149,7 +140,7 @@ func load(c *gin.Context, modelName string, reqOpts map[string]interface{}, sess
}
loaded.expireTimer.Reset(sessionDuration)
return model, nil
return nil
}
func GenerateHandler(c *gin.Context) {
......@@ -182,262 +173,88 @@ func GenerateHandler(c *gin.Context) {
return
}
sessionDuration := defaultSessionDuration
model, err := load(c, req.Model, req.Options, sessionDuration)
model, err := GetModel(req.Model)
if err != nil {
var pErr *fs.PathError
switch {
case errors.As(err, &pErr):
if errors.As(err, &pErr) {
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found, try pulling it first", req.Model)})
case errors.Is(err, api.ErrInvalidOpts):
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
default:
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
}
return
}
// an empty request loads the model
if req.Prompt == "" && req.Template == "" && req.System == "" {
c.JSON(http.StatusOK, api.GenerateResponse{CreatedAt: time.Now().UTC(), Model: req.Model, Done: true})
return
}
checkpointLoaded := time.Now()
var prompt string
sendContext := false
switch {
case req.Raw:
prompt = req.Prompt
case req.Prompt != "":
if req.Template != "" {
// override the default model template
model.Template = req.Template
}
var rebuild strings.Builder
if req.Context != nil {
// TODO: context is deprecated, at some point the context logic within this conditional should be removed
prevCtx, err := loaded.runner.Decode(c.Request.Context(), req.Context)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
// Remove leading spaces from prevCtx if present
prevCtx = strings.TrimPrefix(prevCtx, " ")
rebuild.WriteString(prevCtx)
}
p, err := model.Prompt(PromptVars{
System: req.System,
Prompt: req.Prompt,
})
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
rebuild.WriteString(p)
prompt = rebuild.String()
sendContext = true
}
ch := make(chan any)
var generated strings.Builder
go func() {
defer close(ch)
fn := func(r llm.PredictResponse) {
// Update model expiration
loaded.expireAt = time.Now().Add(sessionDuration)
loaded.expireTimer.Reset(sessionDuration)
// Build up the full response
if _, err := generated.WriteString(r.Content); err != nil {
ch <- gin.H{"error": err.Error()}
return
}
resp := api.GenerateResponse{
Model: r.Model,
CreatedAt: r.CreatedAt,
Done: r.Done,
Response: r.Content,
EvalMetrics: api.EvalMetrics{
TotalDuration: r.TotalDuration,
LoadDuration: r.LoadDuration,
PromptEvalCount: r.PromptEvalCount,
PromptEvalDuration: r.PromptEvalDuration,
EvalCount: r.EvalCount,
EvalDuration: r.EvalDuration,
},
}
if r.Done && sendContext {
embd, err := loaded.runner.Encode(c.Request.Context(), req.Prompt+generated.String())
if err != nil {
ch <- gin.H{"error": err.Error()}
return
}
r.Context = embd
}
ch <- resp
}
// Start prediction
predictReq := llm.PredictRequest{
Model: model.Name,
Prompt: prompt,
Format: req.Format,
CheckpointStart: checkpointStart,
CheckpointLoaded: checkpointLoaded,
}
if err := loaded.runner.Predict(c.Request.Context(), predictReq, fn); err != nil {
ch <- gin.H{"error": err.Error()}
}
}()
if req.Stream != nil && !*req.Stream {
// Wait for the channel to close
var r api.GenerateResponse
var sb strings.Builder
for resp := range ch {
var ok bool
if r, ok = resp.(api.GenerateResponse); !ok {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
sb.WriteString(r.Response)
}
r.Response = sb.String()
c.JSON(http.StatusOK, r)
return
}
streamResponse(c, ch)
}
func ChatHandler(c *gin.Context) {
loaded.mu.Lock()
defer loaded.mu.Unlock()
checkpointStart := time.Now()
var req api.ChatRequest
err := c.ShouldBindJSON(&req)
switch {
case errors.Is(err, io.EOF):
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
return
case err != nil:
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
// validate the request
switch {
case req.Model == "":
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "model is required"})
return
case len(req.Format) > 0 && req.Format != "json":
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "format must be json"})
return
}
workDir := c.GetString("workDir")
// TODO: set this duration from the request if specified
sessionDuration := defaultSessionDuration
model, err := load(c, req.Model, req.Options, sessionDuration)
if err != nil {
var pErr *fs.PathError
switch {
case errors.As(err, &pErr):
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found, try pulling it first", req.Model)})
case errors.Is(err, api.ErrInvalidOpts):
if err := load(c.Request.Context(), workDir, model, req.Options, sessionDuration); err != nil {
if errors.Is(err, api.ErrInvalidOpts) {
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
default:
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
}
return
}
// an empty request loads the model
if len(req.Messages) == 0 {
c.JSON(http.StatusOK, api.ChatResponse{CreatedAt: time.Now().UTC(), Model: req.Model, Done: true})
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
checkpointLoaded := time.Now()
if req.Template != "" {
// override the default model template
model.Template = req.Template
}
prompt, err := model.ChatPrompt(req.Messages)
prompt := req.Prompt
if !req.Raw {
prompt, err = model.Prompt(req)
if err != nil {
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
}
ch := make(chan any)
go func() {
defer close(ch)
// an empty request loads the model
if req.Prompt == "" && req.Template == "" && req.System == "" {
ch <- api.GenerateResponse{CreatedAt: time.Now().UTC(), Model: req.Model, Done: true}
return
}
fn := func(r llm.PredictResponse) {
// Update model expiration
fn := func(r api.GenerateResponse) {
loaded.expireAt = time.Now().Add(sessionDuration)
loaded.expireTimer.Reset(sessionDuration)
resp := api.ChatResponse{
Model: r.Model,
CreatedAt: r.CreatedAt,
Done: r.Done,
EvalMetrics: api.EvalMetrics{
TotalDuration: r.TotalDuration,
LoadDuration: r.LoadDuration,
PromptEvalCount: r.PromptEvalCount,
PromptEvalDuration: r.PromptEvalDuration,
EvalCount: r.EvalCount,
EvalDuration: r.EvalDuration,
},
r.Model = req.Model
r.CreatedAt = time.Now().UTC()
if r.Done {
r.TotalDuration = time.Since(checkpointStart)
r.LoadDuration = checkpointLoaded.Sub(checkpointStart)
}
if !r.Done {
resp.Message = &api.Message{Role: "assistant", Content: r.Content}
if req.Raw {
// in raw mode the client must manage history on their own
r.Context = nil
}
ch <- resp
ch <- r
}
// Start prediction
predictReq := llm.PredictRequest{
Model: model.Name,
Prompt: prompt,
Format: req.Format,
CheckpointStart: checkpointStart,
CheckpointLoaded: checkpointLoaded,
}
if err := loaded.runner.Predict(c.Request.Context(), predictReq, fn); err != nil {
if err := loaded.runner.Predict(c.Request.Context(), req.Context, prompt, req.Format, fn); err != nil {
ch <- gin.H{"error": err.Error()}
}
}()
if req.Stream != nil && !*req.Stream {
// Wait for the channel to close
var r api.ChatResponse
var sb strings.Builder
var response api.GenerateResponse
generated := ""
for resp := range ch {
var ok bool
if r, ok = resp.(api.ChatResponse); !ok {
if r, ok := resp.(api.GenerateResponse); ok {
generated += r.Response
response = r
} else {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
if r.Message != nil {
sb.WriteString(r.Message.Content)
}
}
r.Message = &api.Message{Role: "assistant", Content: sb.String()}
c.JSON(http.StatusOK, r)
response.Response = generated
c.JSON(http.StatusOK, response)
return
}
......@@ -464,18 +281,15 @@ func EmbeddingHandler(c *gin.Context) {
return
}
sessionDuration := defaultSessionDuration
_, err = load(c, req.Model, req.Options, sessionDuration)
model, err := GetModel(req.Model)
if err != nil {
var pErr *fs.PathError
switch {
case errors.As(err, &pErr):
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found, try pulling it first", req.Model)})
case errors.Is(err, api.ErrInvalidOpts):
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
default:
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
workDir := c.GetString("workDir")
if err := load(c.Request.Context(), workDir, model, req.Options, 5*time.Minute); err != nil {
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
......@@ -953,7 +767,6 @@ func Serve(ln net.Listener, allowOrigins []string) error {
r.POST("/api/pull", PullModelHandler)
r.POST("/api/generate", GenerateHandler)
r.POST("/api/chat", ChatHandler)
r.POST("/api/embeddings", EmbeddingHandler)
r.POST("/api/create", CreateModelHandler)
r.POST("/api/push", PushModelHandler)
......
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