Files
ollama_ollama/server/prompt.go
T
Daniel Hiltgen 16739dee60 server: align generate with native chat templates (#16878)
* server: align generate with native chat templates

/api/generate rebuilt chat-like prompts through the Go template path even when the model selected its native GGUF Jinja chat template, so the same model rendered differently between generate and chat.

Route chat-like generate requests through the shared native chat preparation path, keep deprecated context and image handling working there, and keep explicit OLLAMA_GO_TEMPLATE overrides intact.

Fixes #16792

* review comments

Fall back to "{{ .Prompt }}" when lacking templates
2026-06-24 13:43:56 -07:00

157 lines
4.3 KiB
Go

package server
import (
"bytes"
"context"
"errors"
"fmt"
"log/slog"
"slices"
"strings"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/llm"
"github.com/ollama/ollama/model/renderers"
"github.com/ollama/ollama/template"
)
type tokenizeFunc func(context.Context, string) ([]int, error)
// chatPrompt accepts a list of messages and returns the prompt and media that should be used for the next chat turn.
// chatPrompt truncates any messages that exceed the context window of the model, making sure to always include 1) the
// latest message and 2) system messages
func chatPrompt(ctx context.Context, m *Model, tokenize tokenizeFunc, opts *api.Options, msgs []api.Message, tools []api.Tool, think *api.ThinkValue, truncate bool) (prompt string, media []llm.MediaData, _ error) {
var system []api.Message
// TODO: This is only a truncation heuristic; llama-server handles the
// actual image/media inputs. Replace this with projector/model-aware media
// token accounting so image history is neither over-packed nor over-trimmed.
// Clip images are represented as 768 tokens, each an embedding.
imageNumTokens := 768
lastMsgIdx := len(msgs) - 1
currMsgIdx := 0
if truncate {
// Start with all messages and remove from the front until it fits in context
for i := 0; i <= lastMsgIdx; i++ {
// Collect system messages from the portion we're about to skip
system = make([]api.Message, 0)
for j := range i {
if msgs[j].Role == "system" {
system = append(system, msgs[j])
}
}
p, err := renderPrompt(m, append(system, msgs[i:]...), tools, think)
if err != nil {
return "", nil, err
}
s, err := tokenize(ctx, p)
if err != nil {
return "", nil, err
}
ctxLen := len(s)
if m.ProjectorPaths != nil {
for _, msg := range msgs[i:] {
ctxLen += imageNumTokens * len(msg.Images)
}
}
if ctxLen <= opts.NumCtx {
currMsgIdx = i
break
}
// Must always include at least the last message
if i == lastMsgIdx {
currMsgIdx = lastMsgIdx
break
}
}
}
if currMsgIdx > 0 {
slog.Debug("truncating input messages which exceed context length", "truncated", len(msgs[currMsgIdx:]))
}
renderMsgs, media, err := imageTaggedMessages(m, msgs, currMsgIdx, false)
if err != nil {
return "", nil, err
}
// truncate any messages that do not fit into the context window
p, err := renderPrompt(m, append(system, renderMsgs[currMsgIdx:]...), tools, think)
if err != nil {
return "", nil, err
}
return p, media, nil
}
func imageTaggedMessages(m *Model, msgs []api.Message, start int, clearImages bool) ([]api.Message, []llm.MediaData, error) {
renderMsgs := slices.Clone(msgs)
var media []llm.MediaData
for cnt, msg := range renderMsgs[start:] {
if slices.Contains(m.Config.ModelFamilies, "mllama") && len(msg.Images) > 1 {
return nil, nil, errors.New("this model only supports one image while more than one image requested")
}
var prefix string
prompt := msg.Content
for _, i := range msg.Images {
mediaData := llm.NewMediaData(len(media), i)
media = append(media, mediaData)
if m.Config.Renderer != "" {
continue
}
// The prompt marker is still image-named for compatibility with
// existing templates and llama-server media marker replacement.
imgTag := fmt.Sprintf("[img-%d]", mediaData.ID)
if !strings.Contains(prompt, "[img]") {
prefix += imgTag
} else {
prompt = strings.Replace(prompt, "[img]", imgTag, 1)
}
}
if m.Config.Renderer == "" {
renderMsgs[start+cnt].Content = prefix + prompt
}
if clearImages {
renderMsgs[start+cnt].Images = nil
}
}
return renderMsgs, media, nil
}
func renderPrompt(m *Model, msgs []api.Message, tools []api.Tool, think *api.ThinkValue) (string, error) {
if m.Config.Renderer != "" {
rendererName := resolveRendererName(m)
rendered, err := renderers.RenderWithRenderer(rendererName, msgs, tools, think)
if err != nil {
return "", err
}
return rendered, nil
}
var b bytes.Buffer
thinkVal := false
thinkLevel := ""
if think != nil {
thinkVal = think.Bool()
thinkLevel = think.String()
}
if err := m.Template.Execute(&b, template.Values{Messages: msgs, Tools: tools, Think: thinkVal, ThinkLevel: thinkLevel, IsThinkSet: think != nil}); err != nil {
return "", err
}
return b.String(), nil
}