Compare commits

...

16 Commits

Author SHA1 Message Date
Bruce MacDonald
a5bc4b7c17 Update images_test.go 2024-12-03 15:03:08 -08:00
Bruce MacDonald
1be080403d server: feedback before failing push on uppercase
When a username or model name is uppercase the registry will reject the
push. This is done for file-system compatibility. If we rely on the registry
error on push the message returned is 'file not found', which does not
convey why the push actually failed.
2024-12-03 14:40:23 -08:00
Tigran
55c3efa900 docs: remove extra quote in modelfile.md (#7908) 2024-12-02 09:28:56 -08:00
David Mayboroda
1aedffad93 readme: add minima to community integrations (#7906) 2024-12-02 01:14:47 -08:00
Jeffrey Morgan
ff6c2d6dc8 cmd: don't rely on reading repo file for test (#7898) 2024-11-30 14:12:53 -08:00
Jeffrey Morgan
d543b282a7 server: add warning message for deprecated context field (#7878) 2024-11-30 14:05:50 -08:00
Parth Sareen
5f8051180e Enable index tracking for tools - openai api support (#7888) 2024-11-29 20:00:09 -08:00
Jeffrey Morgan
39e29ae5dd llama: fix typo and formatting in readme (#7876) 2024-11-28 17:27:11 -08:00
TheCookingSenpai
30a9f063c9 readme: add SpaceLlama, YouLama, and DualMind to community integrations (#7216) 2024-11-28 15:16:27 -08:00
Parth Sareen
ce7455a8e1 api: enable tool streaming (#7836) 2024-11-27 13:40:57 -08:00
ItzCrazyKns
e3936d4fb3 Support Multiple LoRa Adapters (#7667)
Closes #7627
2024-11-27 11:00:04 -08:00
Bruce MacDonald
940e62772e openai: remove unused error code (#7850)
The writeError takes a code argument which is no longer used. Remove it for clarity.
2024-11-26 16:08:09 -08:00
Jesse Gross
71e6a0d0d1 runner.go: Don't try to extract image tags for text models
When processing a prompt, we look for image tags of the form
[img-0], which are inserted by the Ollama server process.
However, this can cause errors if the original prompt has these
tags - typically an image not found error is returned.

This changes tag searching behavior to be similar to the 0.3.x
series, which will largely avoid these problems. However,they can
still happen when input text with these tags is used with image
models. The correct solution is to escape the tags but this is a
larger issue with special sequences in general so this is an
incremental fix that should avoid the problem for the majority
of cases.
2024-11-26 13:23:24 -08:00
Jesse Gross
2cd11ae365 runner.go: Add unit tests for context shifting
This also makes it easier to truncate long inputs the same as
shifting but does not actually implement it. This type of
truncation has a trade off between quality and time to first
token.
2024-11-26 11:21:35 -08:00
jake83741
52bbad12f9 readme: update description for vnc-lm community integration (#7832) 2024-11-25 17:56:30 -08:00
frob
30e88d7f31 cmd: don't submit svg files as images for now (#7830) 2024-11-25 16:43:29 -08:00
19 changed files with 587 additions and 76 deletions

View File

@@ -346,6 +346,9 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Web management](https://github.com/lemonit-eric-mao/ollama-web-management) (Web management page)
- [Promptery](https://github.com/promptery/promptery) (desktop client for Ollama.)
- [Ollama App](https://github.com/JHubi1/ollama-app) (Modern and easy-to-use multi-platform client for Ollama)
- [SpaceLlama](https://github.com/tcsenpai/spacellama) (Firefox and Chrome extension to quickly summarize web pages with ollama in a sidebar)
- [YouLama](https://github.com/tcsenpai/youlama) (Webapp to quickly summarize any YouTube video, supporting Invidious as well)
- [DualMind](https://github.com/tcsenpai/dualmind) (Experimental app allowing two models to talk to each other in the terminal or in a web interface)
- [ollamarama-matrix](https://github.com/h1ddenpr0cess20/ollamarama-matrix) (Ollama chatbot for the Matrix chat protocol)
- [ollama-chat-app](https://github.com/anan1213095357/ollama-chat-app) (Flutter-based chat app)
- [Perfect Memory AI](https://www.perfectmemory.ai/) (Productivity AI assists personalized by what you have seen on your screen, heard and said in the meetings)
@@ -356,6 +359,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Nosia](https://github.com/nosia-ai/nosia) (Easy to install and use RAG platform based on Ollama)
- [Witsy](https://github.com/nbonamy/witsy) (An AI Desktop application avaiable for Mac/Windows/Linux)
- [Abbey](https://github.com/US-Artificial-Intelligence/abbey) (A configurable AI interface server with notebooks, document storage, and YouTube support)
- [Minima](https://github.com/dmayboroda/minima) (RAG with on-premises or fully local workflow)
### Cloud
@@ -504,7 +508,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Terraform AWS Ollama & Open WebUI](https://github.com/xuyangbocn/terraform-aws-self-host-llm) (A Terraform module to deploy on AWS a ready-to-use Ollama service, together with its front end Open WebUI service.)
- [node-red-contrib-ollama](https://github.com/jakubburkiewicz/node-red-contrib-ollama)
- [Local AI Helper](https://github.com/ivostoykov/localAI) (Chrome and Firefox extensions that enable interactions with the active tab and customisable API endpoints. Includes secure storage for user prompts.)
- [vnc-lm](https://github.com/jk011ru/vnc-lm) (A containerized Discord bot with support for attachments and web links)
- [vnc-lm](https://github.com/jake83741/vnc-lm) (Discord bot for messaging with LLMs through Ollama and LiteLLM. Seamlessly move between local and flagship models.)
- [LSP-AI](https://github.com/SilasMarvin/lsp-ai) (Open-source language server for AI-powered functionality)
- [QodeAssist](https://github.com/Palm1r/QodeAssist) (AI-powered coding assistant plugin for Qt Creator)
- [Obsidian Quiz Generator plugin](https://github.com/ECuiDev/obsidian-quiz-generator)

View File

@@ -146,6 +146,7 @@ type ToolCall struct {
}
type ToolCallFunction struct {
Index int `json:"index,omitempty"`
Name string `json:"name"`
Arguments ToolCallFunctionArguments `json:"arguments"`
}

View File

@@ -8,7 +8,6 @@ import (
"net/http"
"net/http/httptest"
"os"
"path/filepath"
"strings"
"testing"
@@ -180,18 +179,14 @@ Weigh anchor!
t.Run("license", func(t *testing.T) {
var b bytes.Buffer
license, err := os.ReadFile(filepath.Join("..", "LICENSE"))
if err != nil {
t.Fatal(err)
}
license := "MIT License\nCopyright (c) Ollama\n"
if err := showInfo(&api.ShowResponse{
Details: api.ModelDetails{
Family: "test",
ParameterSize: "7B",
QuantizationLevel: "FP16",
},
License: string(license),
License: license,
}, &b); err != nil {
t.Fatal(err)
}

View File

@@ -514,7 +514,7 @@ func extractFileNames(input string) []string {
// Regex to match file paths starting with optional drive letter, / ./ \ or .\ and include escaped or unescaped spaces (\ or %20)
// and followed by more characters and a file extension
// This will capture non filename strings, but we'll check for file existence to remove mismatches
regexPattern := `(?:[a-zA-Z]:)?(?:\./|/|\\)[\S\\ ]+?\.(?i:jpg|jpeg|png|svg)\b`
regexPattern := `(?:[a-zA-Z]:)?(?:\./|/|\\)[\S\\ ]+?\.(?i:jpg|jpeg|png)\b`
re := regexp.MustCompile(regexPattern)
return re.FindAllString(input, -1)

View File

@@ -12,44 +12,45 @@ import (
func TestExtractFilenames(t *testing.T) {
// Unix style paths
input := ` some preamble
./relative\ path/one.png inbetween1 ./not a valid two.jpg inbetween2
/unescaped space /three.jpeg inbetween3 /valid\ path/dir/four.png "./quoted with spaces/five.svg`
./relative\ path/one.png inbetween1 ./not a valid two.jpg inbetween2 ./1.svg
/unescaped space /three.jpeg inbetween3 /valid\ path/dir/four.png "./quoted with spaces/five.JPG`
res := extractFileNames(input)
assert.Len(t, res, 5)
assert.Contains(t, res[0], "one.png")
assert.Contains(t, res[1], "two.jpg")
assert.Contains(t, res[2], "three.jpeg")
assert.Contains(t, res[3], "four.png")
assert.Contains(t, res[4], "five.svg")
assert.Contains(t, res[4], "five.JPG")
assert.NotContains(t, res[4], '"')
assert.NotContains(t, res, "inbtween")
assert.NotContains(t, res, "inbetween1")
assert.NotContains(t, res, "./1.svg")
// Windows style paths
input = ` some preamble
c:/users/jdoe/one.png inbetween1 c:/program files/someplace/two.jpg inbetween2
/absolute/nospace/three.jpeg inbetween3 /absolute/with space/four.png inbetween4
./relative\ path/five.svg inbetween5 "./relative with/spaces/six.png inbetween6
d:\path with\spaces\seven.svg inbetween7 c:\users\jdoe\eight.png inbetween8
d:\program files\someplace\nine.png inbetween9 "E:\program files\someplace\ten.svg some ending
./relative\ path/five.JPG inbetween5 "./relative with/spaces/six.png inbetween6
d:\path with\spaces\seven.JPEG inbetween7 c:\users\jdoe\eight.png inbetween8
d:\program files\someplace\nine.png inbetween9 "E:\program files\someplace\ten.PNG some ending
`
res = extractFileNames(input)
assert.Len(t, res, 10)
assert.NotContains(t, res, "inbtween")
assert.NotContains(t, res, "inbetween2")
assert.Contains(t, res[0], "one.png")
assert.Contains(t, res[0], "c:")
assert.Contains(t, res[1], "two.jpg")
assert.Contains(t, res[1], "c:")
assert.Contains(t, res[2], "three.jpeg")
assert.Contains(t, res[3], "four.png")
assert.Contains(t, res[4], "five.svg")
assert.Contains(t, res[4], "five.JPG")
assert.Contains(t, res[5], "six.png")
assert.Contains(t, res[6], "seven.svg")
assert.Contains(t, res[6], "seven.JPEG")
assert.Contains(t, res[6], "d:")
assert.Contains(t, res[7], "eight.png")
assert.Contains(t, res[7], "c:")
assert.Contains(t, res[8], "nine.png")
assert.Contains(t, res[8], "d:")
assert.Contains(t, res[9], "ten.svg")
assert.Contains(t, res[9], "ten.PNG")
assert.Contains(t, res[9], "E:")
}

View File

@@ -49,10 +49,10 @@ Advanced parameters (optional):
- `options`: additional model parameters listed in the documentation for the [Modelfile](./modelfile.md#valid-parameters-and-values) such as `temperature`
- `system`: system message to (overrides what is defined in the `Modelfile`)
- `template`: the prompt template to use (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
- `keep_alive`: controls how long the model will stay loaded into memory following the request (default: `5m`)
- `context` (deprecated): the context parameter returned from a previous request to `/generate`, this can be used to keep a short conversational memory
#### JSON mode

View File

@@ -63,7 +63,7 @@ SYSTEM You are Mario from super mario bros, acting as an assistant.
To use this:
1. Save it as a file (e.g. `Modelfile`)
2. `ollama create choose-a-model-name -f <location of the file e.g. ./Modelfile>'`
2. `ollama create choose-a-model-name -f <location of the file e.g. ./Modelfile>`
3. `ollama run choose-a-model-name`
4. Start using the model!

View File

@@ -93,7 +93,7 @@ make -j
## Vendoring
Ollama currently vendors [llama.cpp](https://github.com/ggerganov/llama.cpp/) and [ggml](https://github.com/ggerganov/ggml) through a vendoring model. While we generally strive to contribute changes back upstream to avoid drift, we cary a small set of patches which are applied to the tracking commit. A set of make targets are available to aid developers in updating to a newer tracking commit, or to work on changes.
Ollama currently vendors [llama.cpp](https://github.com/ggerganov/llama.cpp/) and [ggml](https://github.com/ggerganov/ggml) through a vendoring model. While we generally strive to contribute changes back upstream to avoid drift, we cary a small set of patches which are applied to the tracking commit. A set of make targets are available to aid developers in updating to a newer tracking commit, or to work on changes.
If you update the vendoring code, start by running the following command to establish the tracking llama.cpp repo in the `./vendor/` directory.
@@ -105,35 +105,35 @@ make apply-patches
**Pin to new base commit**
To update to a newer base commit, select the upstream git tag or commit and update `llama/vendoring.env`
To update to a newer base commit, select the upstream git tag or commit and update `llama/vendoring`
#### Applying patches
When updating to a newer base commit, the existing patches may not apply cleanly and require manual merge resolution.
Start by applying the patches. If any of the patches have conflicts, the `git am` will stop at the first failure.
Start by applying the patches. If any of the patches have conflicts, the `git am` will stop at the first failure.
```
make apply-patches
```
If you see an error message about a conflict, go into the `./vendor/` directory, and perform merge resolution using your preferred tool to the patch commit which failed. Save the file(s) and continue the patch series with `git am --continue` . If any additional patches fail, follow the same pattern until the full patch series is applied. Once finished, run a final `create-patches` and `sync` target to ensure everything is updated.
If you see an error message about a conflict, go into the `./vendor/` directory, and perform merge resolution using your preferred tool to the patch commit which failed. Save the file(s) and continue the patch series with `git am --continue` . If any additional patches fail, follow the same pattern until the full patch series is applied. Once finished, run a final `create-patches` and `sync` target to ensure everything is updated.
```
make create-patches sync
```
Build and test Ollama, and make any necessary changes to the Go code based on the new base commit. Submit your PR to the Ollama repo.
Build and test Ollama, and make any necessary changes to the Go code based on the new base commit. Submit your PR to the Ollama repo.
### Generating Patches
When working on new fixes or features that impact vendored code, use the following model. First get a clean tracking repo with all current patches applied:
When working on new fixes or features that impact vendored code, use the following model. First get a clean tracking repo with all current patches applied:
```
make apply-patches
```
Now edit the upstream native code in the `./vendor/` directory. You do not need to commit every change in order to build, a dirty working tree in the tracking repo is OK while developing. Simply save in your editor, and run the following to refresh the vendored code with your changes, build the backend(s) and build ollama:
Now edit the upstream native code in the `./vendor/` directory. You do not need to commit every change in order to build, a dirty working tree in the tracking repo is OK while developing. Simply save in your editor, and run the following to refresh the vendored code with your changes, build the backend(s) and build ollama:
```
make sync
@@ -142,9 +142,9 @@ go build .
```
> [!IMPORTANT]
> Do **NOT** run `apply-patches` while you're iterating as that will reset the tracking repo. It will detect a dirty tree and abort, but if your tree is clean and you accidentally ran this target, use `git reflog` to recover your commit(s).
> Do **NOT** run `apply-patches` while you're iterating as that will reset the tracking repo. It will detect a dirty tree and abort, but if your tree is clean and you accidentally ran this target, use `git reflog` to recover your commit(s).
Iterate until you're ready to submit PRs. Once your code is ready, commit a change in the `./vendor/` directory, then generate the patches for ollama with
Iterate until you're ready to submit PRs. Once your code is ready, commit a change in the `./vendor/` directory, then generate the patches for ollama with
```
make create-patches
@@ -157,4 +157,4 @@ In your `./vendor/` directory, create a branch, and cherry-pick the new commit t
Commit the changes in the ollama repo and submit a PR to Ollama, which will include the vendored code update with your change, along with the patches.
After your PR upstream is merged, follow the **Updating Base Commit** instructions above, however first remove your patch before running `apply-patches` since the new base commit contains your change already.
After your PR upstream is merged, follow the **Updating Base Commit** instructions above, however first remove your patch before running `apply-patches` since the new base commit contains your change already.

View File

@@ -199,6 +199,20 @@ func countCommonPrefix(a []input, b []input) int {
return count
}
func (c *InputCache) ShiftDiscard(inputLen int, numKeep int) int {
targetFree := (c.numCtx - numKeep) / 2
targetFree = max(targetFree, 1)
currentFree := c.numCtx - inputLen
discard := targetFree - currentFree
if discard < 0 {
discard = 0
}
return discard
}
// Frees up space in the KV cache by deleting the oldest half of history and shifting
// the newest half into that space (saving numKeep inputs at the beginning).
//
@@ -208,11 +222,7 @@ func (c *InputCache) ShiftCacheSlot(slot *InputCacheSlot, numKeep int) error {
return fmt.Errorf("unable to shift context - keep exceeds context (keep: %v context: %v)", numKeep, c.numCtx)
}
targetFree := (c.numCtx - numKeep) / 2
targetFree = max(targetFree, 1)
currentFree := c.numCtx - len(slot.Inputs)
discard := targetFree - currentFree
discard := c.ShiftDiscard(len(slot.Inputs), numKeep)
if discard <= 0 {
return nil

View File

@@ -227,3 +227,66 @@ func TestFindCacheSlot(t *testing.T) {
})
}
}
func TestShiftDiscard(t *testing.T) {
tests := []struct {
name string
numCtx int
numKeep int
inputLen int
expected int
}{
{
name: "Shift",
numCtx: 2048,
numKeep: 5,
inputLen: 2048,
expected: 1021,
},
{
name: "Max Keep",
numCtx: 2048,
numKeep: 2047,
inputLen: 2048,
expected: 1,
},
{
name: "No Keep",
numCtx: 2048,
numKeep: 0,
inputLen: 2048,
expected: 1024,
},
{
name: "Truncate",
numCtx: 2048,
numKeep: 5,
inputLen: 5000,
expected: 3973,
},
{
name: "Truncate Keep",
numCtx: 2048,
numKeep: 2047,
inputLen: 5000,
expected: 2953,
},
{
name: "No Op",
numCtx: 2048,
numKeep: 5,
inputLen: 512,
expected: 0,
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
c := InputCache{numCtx: tt.numCtx}
result := c.ShiftDiscard(tt.inputLen, tt.numKeep)
if result != tt.expected {
t.Errorf("shiftDiscard(ctx: %v, keep: %v input: %v): have %v; want %v", tt.numCtx, tt.numKeep, tt.inputLen, result, tt.expected)
}
})
}
}

View File

@@ -122,9 +122,11 @@ func (s *Server) NewSequence(prompt string, images []ImageData, params NewSequen
params.numKeep = min(params.numKeep, s.cache.numCtx-1)
if len(inputs) > s.cache.numCtx {
slog.Warn("truncating input prompt", "limit", s.cache.numCtx, "prompt", len(inputs), "numKeep", params.numKeep)
discard := len(inputs) - s.cache.numCtx
newInputs := inputs[:params.numKeep]
newInputs = append(newInputs, inputs[len(inputs)-s.cache.numCtx+params.numKeep:]...)
newInputs = append(newInputs, inputs[params.numKeep+discard:]...)
slog.Warn("truncating input prompt", "limit", s.cache.numCtx, "prompt", len(inputs), "keep", params.numKeep, "new", len(newInputs))
inputs = newInputs
}
@@ -162,10 +164,16 @@ func (s *Server) NewSequence(prompt string, images []ImageData, params NewSequen
// generating image embeddings for each image
func (s *Server) inputs(prompt string, images []ImageData) ([]input, error) {
var inputs []input
var parts []string
var matches [][]string
re := regexp.MustCompile(`\[img-(\d+)\]`)
parts := re.Split(prompt, -1)
matches := re.FindAllStringSubmatch(prompt, -1)
if s.image != nil {
re := regexp.MustCompile(`\[img-(\d+)\]`)
parts = re.Split(prompt, -1)
matches = re.FindAllStringSubmatch(prompt, -1)
} else {
parts = []string{prompt}
}
for i, part := range parts {
// text - tokenize
@@ -825,10 +833,21 @@ func (s *Server) health(w http.ResponseWriter, r *http.Request) {
}
}
type multiLPath []string
func (m *multiLPath) Set(value string) error {
*m = append(*m, value)
return nil
}
func (m *multiLPath) String() string {
return strings.Join(*m, ", ")
}
func (s *Server) loadModel(
params llama.ModelParams,
mpath string,
lpath string,
lpath multiLPath,
ppath string,
kvSize int,
flashAttention bool,
@@ -849,10 +868,12 @@ func (s *Server) loadModel(
panic(err)
}
if lpath != "" {
err := s.model.ApplyLoraFromFile(s.lc, lpath, 1.0, threads)
if err != nil {
panic(err)
if lpath.String() != "" {
for _, path := range lpath {
err := s.model.ApplyLoraFromFile(s.lc, path, 1.0, threads)
if err != nil {
panic(err)
}
}
}
@@ -882,7 +903,6 @@ func main() {
mainGpu := flag.Int("main-gpu", 0, "Main GPU")
flashAttention := flag.Bool("flash-attn", false, "Enable flash attention")
kvSize := flag.Int("ctx-size", 2048, "Context (or KV cache) size")
lpath := flag.String("lora", "", "Path to lora layer file")
port := flag.Int("port", 8080, "Port to expose the server on")
threads := flag.Int("threads", runtime.NumCPU(), "Number of threads to use during generation")
verbose := flag.Bool("verbose", false, "verbose output (default: disabled)")
@@ -892,6 +912,9 @@ func main() {
multiUserCache := flag.Bool("multiuser-cache", false, "optimize input cache algorithm for multiple users")
requirements := flag.Bool("requirements", false, "print json requirement information")
var lpaths multiLPath
flag.Var(&lpaths, "lora", "Path to lora layer file (can be specified multiple times)")
flag.Parse()
if *requirements {
printRequirements(os.Stdout)
@@ -938,7 +961,7 @@ func main() {
params := llama.ModelParams{
NumGpuLayers: *nGpuLayers,
MainGpu: *mainGpu,
UseMmap: !*noMmap && *lpath == "",
UseMmap: !*noMmap && lpaths.String() == "",
UseMlock: *mlock,
TensorSplit: tensorSplitFloats,
Progress: func(progress float32) {
@@ -947,7 +970,7 @@ func main() {
}
server.ready.Add(1)
go server.loadModel(params, *mpath, *lpath, *ppath, *kvSize, *flashAttention, *threads, *multiUserCache)
go server.loadModel(params, *mpath, lpaths, *ppath, *kvSize, *flashAttention, *threads, *multiUserCache)
server.cond = sync.NewCond(&server.mu)

View File

@@ -144,10 +144,6 @@ func NewLlamaServer(gpus discover.GpuInfoList, model string, ggml *GGML, adapter
// Loop through potential servers
finalErr := errors.New("no suitable llama servers found")
if len(adapters) > 1 {
return nil, errors.New("ollama supports only one lora adapter, but multiple were provided")
}
rDir, err := runners.Refresh(build.EmbedFS)
if err != nil {
return nil, err
@@ -201,8 +197,9 @@ func NewLlamaServer(gpus discover.GpuInfoList, model string, ggml *GGML, adapter
}
if len(adapters) > 0 {
// TODO: applying multiple adapters is not supported by the llama.cpp server yet
params = append(params, "--lora", adapters[0])
for _, adapter := range adapters {
params = append(params, "--lora", adapter)
}
}
if len(projectors) > 0 {

View File

@@ -140,6 +140,7 @@ type CompletionChunk struct {
type ToolCall struct {
ID string `json:"id"`
Index int `json:"index"`
Type string `json:"type"`
Function struct {
Name string `json:"name"`
@@ -200,12 +201,13 @@ func toolCallId() string {
return "call_" + strings.ToLower(string(b))
}
func toChatCompletion(id string, r api.ChatResponse) ChatCompletion {
toolCalls := make([]ToolCall, len(r.Message.ToolCalls))
for i, tc := range r.Message.ToolCalls {
func toToolCalls(tc []api.ToolCall) []ToolCall {
toolCalls := make([]ToolCall, len(tc))
for i, tc := range tc {
toolCalls[i].ID = toolCallId()
toolCalls[i].Type = "function"
toolCalls[i].Function.Name = tc.Function.Name
toolCalls[i].Index = tc.Function.Index
args, err := json.Marshal(tc.Function.Arguments)
if err != nil {
@@ -215,7 +217,11 @@ func toChatCompletion(id string, r api.ChatResponse) ChatCompletion {
toolCalls[i].Function.Arguments = string(args)
}
return toolCalls
}
func toChatCompletion(id string, r api.ChatResponse) ChatCompletion {
toolCalls := toToolCalls(r.Message.ToolCalls)
return ChatCompletion{
Id: id,
Object: "chat.completion",
@@ -244,6 +250,7 @@ func toChatCompletion(id string, r api.ChatResponse) ChatCompletion {
}
func toChunk(id string, r api.ChatResponse) ChatCompletionChunk {
toolCalls := toToolCalls(r.Message.ToolCalls)
return ChatCompletionChunk{
Id: id,
Object: "chat.completion.chunk",
@@ -252,7 +259,7 @@ func toChunk(id string, r api.ChatResponse) ChatCompletionChunk {
SystemFingerprint: "fp_ollama",
Choices: []ChunkChoice{{
Index: 0,
Delta: Message{Role: "assistant", Content: r.Message.Content},
Delta: Message{Role: "assistant", Content: r.Message.Content, ToolCalls: toolCalls},
FinishReason: func(reason string) *string {
if len(reason) > 0 {
return &reason
@@ -571,7 +578,7 @@ type EmbedWriter struct {
model string
}
func (w *BaseWriter) writeError(code int, data []byte) (int, error) {
func (w *BaseWriter) writeError(data []byte) (int, error) {
var serr api.StatusError
err := json.Unmarshal(data, &serr)
if err != nil {
@@ -630,7 +637,7 @@ func (w *ChatWriter) writeResponse(data []byte) (int, error) {
func (w *ChatWriter) Write(data []byte) (int, error) {
code := w.ResponseWriter.Status()
if code != http.StatusOK {
return w.writeError(code, data)
return w.writeError(data)
}
return w.writeResponse(data)
@@ -679,7 +686,7 @@ func (w *CompleteWriter) writeResponse(data []byte) (int, error) {
func (w *CompleteWriter) Write(data []byte) (int, error) {
code := w.ResponseWriter.Status()
if code != http.StatusOK {
return w.writeError(code, data)
return w.writeError(data)
}
return w.writeResponse(data)
@@ -704,7 +711,7 @@ func (w *ListWriter) writeResponse(data []byte) (int, error) {
func (w *ListWriter) Write(data []byte) (int, error) {
code := w.ResponseWriter.Status()
if code != http.StatusOK {
return w.writeError(code, data)
return w.writeError(data)
}
return w.writeResponse(data)
@@ -730,7 +737,7 @@ func (w *RetrieveWriter) writeResponse(data []byte) (int, error) {
func (w *RetrieveWriter) Write(data []byte) (int, error) {
code := w.ResponseWriter.Status()
if code != http.StatusOK {
return w.writeError(code, data)
return w.writeError(data)
}
return w.writeResponse(data)
@@ -755,7 +762,7 @@ func (w *EmbedWriter) writeResponse(data []byte) (int, error) {
func (w *EmbedWriter) Write(data []byte) (int, error) {
code := w.ResponseWriter.Status()
if code != http.StatusOK {
return w.writeError(code, data)
return w.writeError(data)
}
return w.writeResponse(data)

View File

@@ -195,7 +195,86 @@ func TestChatMiddleware(t *testing.T) {
Stream: &False,
},
},
{
name: "chat handler with streaming tools",
body: `{
"model": "test-model",
"messages": [
{"role": "user", "content": "What's the weather like in Paris?"}
],
"stream": true,
"tools": [{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get the current weather",
"parameters": {
"type": "object",
"required": ["location"],
"properties": {
"location": {
"type": "string",
"description": "The city and state"
},
"unit": {
"type": "string",
"enum": ["celsius", "fahrenheit"]
}
}
}
}
}]
}`,
req: api.ChatRequest{
Model: "test-model",
Messages: []api.Message{
{
Role: "user",
Content: "What's the weather like in Paris?",
},
},
Tools: []api.Tool{
{
Type: "function",
Function: api.ToolFunction{
Name: "get_weather",
Description: "Get the current weather",
Parameters: struct {
Type string `json:"type"`
Required []string `json:"required"`
Properties map[string]struct {
Type string `json:"type"`
Description string `json:"description"`
Enum []string `json:"enum,omitempty"`
} `json:"properties"`
}{
Type: "object",
Required: []string{"location"},
Properties: map[string]struct {
Type string `json:"type"`
Description string `json:"description"`
Enum []string `json:"enum,omitempty"`
}{
"location": {
Type: "string",
Description: "The city and state",
},
"unit": {
Type: "string",
Enum: []string{"celsius", "fahrenheit"},
},
},
},
},
},
},
Options: map[string]any{
"temperature": 1.0,
"top_p": 1.0,
},
Stream: &True,
},
},
{
name: "chat handler error forwarding",
body: `{

View File

@@ -802,6 +802,12 @@ func PushModel(ctx context.Context, name string, regOpts *registryOptions, fn fu
if mp.ProtocolScheme == "http" && !regOpts.Insecure {
return errors.New("insecure protocol http")
}
if mp.Namespace != strings.ToLower(mp.Namespace) {
return fmt.Errorf("namespace must be lowercase, but is %s", mp.Namespace)
}
if mp.Repository != strings.ToLower(mp.Repository) {
return fmt.Errorf("model name must be lowercase, but is %s", mp.Repository)
}
manifest, _, err := GetManifest(mp)
if err != nil {

50
server/images_test.go Normal file
View File

@@ -0,0 +1,50 @@
package server
import (
"context"
"strings"
"testing"
"github.com/ollama/ollama/api"
)
func TestPushModel(t *testing.T) {
noOpProgress := func(resp api.ProgressResponse) {}
tests := []struct {
modelStr string
regOpts *registryOptions
wantErr string
}{
{
modelStr: "http://example.com/namespace/repo:tag",
regOpts: &registryOptions{Insecure: false},
wantErr: "insecure protocol http",
},
{
modelStr: "docker://Example/repo:tag",
regOpts: &registryOptions{},
wantErr: "namespace must be lowercase, but is Example",
},
{
modelStr: "docker://example/Repo:tag",
regOpts: &registryOptions{},
wantErr: "model name must be lowercase, but is Repo",
},
}
for _, tt := range tests {
t.Run(tt.modelStr, func(t *testing.T) {
err := PushModel(context.Background(), tt.modelStr, tt.regOpts, noOpProgress)
if tt.wantErr != "" {
if err == nil {
t.Errorf("PushModel() error = %v, wantErr %v", err, tt.wantErr)
} else if !strings.Contains(err.Error(), tt.wantErr) {
t.Errorf("PushModel() error = %v, wantErr %v", err, tt.wantErr)
}
return
}
})
}
}

View File

@@ -39,6 +39,7 @@ func TestExecuteWithTools(t *testing.T) {
{"mistral", `[TOOL_CALLS] [{"name": "get_current_weather", "arguments": {"format":"fahrenheit","location":"San Francisco, CA"}},{"name": "get_current_weather", "arguments": {"format":"celsius","location":"Toronto, Canada"}}]
The temperature in San Francisco, CA is 70°F and in Toronto, Canada is 20°C.`, true},
{"mistral", `[TOOL_CALLS] [{"name": "get_current_weather", "arguments": {"format":"fahrenheit","location":"San Francisco, CA"}},{"name": "get_current_weather", "arguments": {"format":"celsius","location":"Toronto, Canada"}},{"name": "get_current_weather", "arguments": {"format":"celsius","location":"To }]`, false},
{"mistral", `I'm not aware of that information. However, I can suggest searching for the weather using the "get_current_weather" function:
[{"name": "get_current_weather", "arguments": {"format":"fahrenheit","location":"San Francisco, CA"}},{"name": "get_current_weather", "arguments": {"format":"celsius","location":"Toronto, Canada"}}]`, true},

View File

@@ -251,6 +251,7 @@ func (s *Server) GenerateHandler(c *gin.Context) {
var b bytes.Buffer
if req.Context != nil {
slog.Warn("the context field is deprecated and will be removed in a future version of Ollama")
s, err := r.Detokenize(c.Request.Context(), req.Context)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
@@ -1458,6 +1459,7 @@ func (s *Server) ChatHandler(c *gin.Context) {
prompt, images, err := chatPrompt(c.Request.Context(), m, r.Tokenize, opts, msgs, req.Tools)
if err != nil {
slog.Error("chat prompt error", "error", err)
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
@@ -1467,6 +1469,8 @@ func (s *Server) ChatHandler(c *gin.Context) {
ch := make(chan any)
go func() {
defer close(ch)
var sb strings.Builder
var toolCallIndex int = 0
if err := r.Completion(c.Request.Context(), llm.CompletionRequest{
Prompt: prompt,
Images: images,
@@ -1492,7 +1496,37 @@ func (s *Server) ChatHandler(c *gin.Context) {
res.LoadDuration = checkpointLoaded.Sub(checkpointStart)
}
ch <- res
// TODO: tool call checking and filtering should be moved outside of this callback once streaming
// however this was a simple change for now without reworking streaming logic of this (and other)
// handlers
if req.Stream != nil && !*req.Stream || len(req.Tools) == 0 {
ch <- res
return
}
// Streaming tool calls:
// If tools are recognized, use a flag to track the sending of a tool downstream
// This ensures that content is cleared from the message on the last chunk sent
sb.WriteString(r.Content)
if toolCalls, ok := m.parseToolCalls(sb.String()); ok {
res.Message.ToolCalls = toolCalls
for i := range toolCalls {
toolCalls[i].Function.Index = toolCallIndex
toolCallIndex++
}
res.Message.Content = ""
sb.Reset()
ch <- res
return
}
if r.Done {
// Send any remaining content if no tool calls were detected
if toolCallIndex == 0 {
res.Message.Content = sb.String()
}
ch <- res
}
}); err != nil {
ch <- gin.H{"error": err.Error()}
}

View File

@@ -8,6 +8,7 @@ import (
"io"
"net/http"
"strings"
"sync"
"testing"
"time"
@@ -25,10 +26,14 @@ type mockRunner struct {
// CompletionRequest is only valid until the next call to Completion
llm.CompletionRequest
llm.CompletionResponse
CompletionFn func(context.Context, llm.CompletionRequest, func(llm.CompletionResponse)) error
}
func (m *mockRunner) Completion(_ context.Context, r llm.CompletionRequest, fn func(r llm.CompletionResponse)) error {
func (m *mockRunner) Completion(ctx context.Context, r llm.CompletionRequest, fn func(r llm.CompletionResponse)) error {
m.CompletionRequest = r
if m.CompletionFn != nil {
return m.CompletionFn(ctx, r, fn)
}
fn(m.CompletionResponse)
return nil
}
@@ -88,9 +93,14 @@ func TestGenerateChat(t *testing.T) {
Model: "test",
Modelfile: fmt.Sprintf(`FROM %s
TEMPLATE """
{{- if .System }}System: {{ .System }} {{ end }}
{{- if .Prompt }}User: {{ .Prompt }} {{ end }}
{{- if .Response }}Assistant: {{ .Response }} {{ end }}"""
{{- if .Tools }}
{{ .Tools }}
{{ end }}
{{- range .Messages }}
{{- .Role }}: {{ .Content }}
{{- range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}}
{{- end }}
{{ end }}"""
`, createBinFile(t, llm.KV{
"general.architecture": "llama",
"llama.block_count": uint32(1),
@@ -263,7 +273,7 @@ func TestGenerateChat(t *testing.T) {
t.Errorf("expected status 200, got %d", w.Code)
}
if diff := cmp.Diff(mock.CompletionRequest.Prompt, "User: Hello! "); diff != "" {
if diff := cmp.Diff(mock.CompletionRequest.Prompt, "user: Hello!\n"); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
@@ -292,7 +302,7 @@ func TestGenerateChat(t *testing.T) {
t.Errorf("expected status 200, got %d", w.Code)
}
if diff := cmp.Diff(mock.CompletionRequest.Prompt, "System: You are a helpful assistant. User: Hello! "); diff != "" {
if diff := cmp.Diff(mock.CompletionRequest.Prompt, "system: You are a helpful assistant.\nuser: Hello!\n"); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
@@ -314,7 +324,7 @@ func TestGenerateChat(t *testing.T) {
t.Errorf("expected status 200, got %d", w.Code)
}
if diff := cmp.Diff(mock.CompletionRequest.Prompt, "System: You can perform magic tricks. User: Hello! "); diff != "" {
if diff := cmp.Diff(mock.CompletionRequest.Prompt, "system: You can perform magic tricks.\nuser: Hello!\n"); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
@@ -337,12 +347,242 @@ func TestGenerateChat(t *testing.T) {
t.Errorf("expected status 200, got %d", w.Code)
}
if diff := cmp.Diff(mock.CompletionRequest.Prompt, "System: You are a helpful assistant. User: Hello! Assistant: I can help you with that. System: You can perform magic tricks. User: Help me write tests. "); diff != "" {
if diff := cmp.Diff(mock.CompletionRequest.Prompt, "system: You are a helpful assistant.\nuser: Hello!\nassistant: I can help you with that.\nsystem: You can perform magic tricks.\nuser: Help me write tests.\n"); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
checkChatResponse(t, w.Body, "test-system", "Abra kadabra!")
})
t.Run("messages with tools (non-streaming)", func(t *testing.T) {
if w.Code != http.StatusOK {
t.Fatalf("failed to create test-system model: %d", w.Code)
}
tools := []api.Tool{
{
Type: "function",
Function: api.ToolFunction{
Name: "get_weather",
Description: "Get the current weather",
Parameters: struct {
Type string `json:"type"`
Required []string `json:"required"`
Properties map[string]struct {
Type string `json:"type"`
Description string `json:"description"`
Enum []string `json:"enum,omitempty"`
} `json:"properties"`
}{
Type: "object",
Required: []string{"location"},
Properties: map[string]struct {
Type string `json:"type"`
Description string `json:"description"`
Enum []string `json:"enum,omitempty"`
}{
"location": {
Type: "string",
Description: "The city and state",
},
"unit": {
Type: "string",
Enum: []string{"celsius", "fahrenheit"},
},
},
},
},
},
}
mock.CompletionResponse = llm.CompletionResponse{
Content: `{"name":"get_weather","arguments":{"location":"Seattle, WA","unit":"celsius"}}`,
Done: true,
DoneReason: "done",
PromptEvalCount: 1,
PromptEvalDuration: 1,
EvalCount: 1,
EvalDuration: 1,
}
streamRequest := true
w := createRequest(t, s.ChatHandler, api.ChatRequest{
Model: "test-system",
Messages: []api.Message{
{Role: "user", Content: "What's the weather in Seattle?"},
},
Tools: tools,
Stream: &streamRequest,
})
if w.Code != http.StatusOK {
var errResp struct {
Error string `json:"error"`
}
if err := json.NewDecoder(w.Body).Decode(&errResp); err != nil {
t.Logf("Failed to decode error response: %v", err)
} else {
t.Logf("Error response: %s", errResp.Error)
}
}
if w.Code != http.StatusOK {
t.Errorf("expected status 200, got %d", w.Code)
}
var resp api.ChatResponse
if err := json.NewDecoder(w.Body).Decode(&resp); err != nil {
t.Fatal(err)
}
if resp.Message.ToolCalls == nil {
t.Error("expected tool calls, got nil")
}
expectedToolCall := api.ToolCall{
Function: api.ToolCallFunction{
Name: "get_weather",
Arguments: api.ToolCallFunctionArguments{
"location": "Seattle, WA",
"unit": "celsius",
},
},
}
if diff := cmp.Diff(resp.Message.ToolCalls[0], expectedToolCall); diff != "" {
t.Errorf("tool call mismatch (-got +want):\n%s", diff)
}
})
t.Run("messages with tools (streaming)", func(t *testing.T) {
tools := []api.Tool{
{
Type: "function",
Function: api.ToolFunction{
Name: "get_weather",
Description: "Get the current weather",
Parameters: struct {
Type string `json:"type"`
Required []string `json:"required"`
Properties map[string]struct {
Type string `json:"type"`
Description string `json:"description"`
Enum []string `json:"enum,omitempty"`
} `json:"properties"`
}{
Type: "object",
Required: []string{"location"},
Properties: map[string]struct {
Type string `json:"type"`
Description string `json:"description"`
Enum []string `json:"enum,omitempty"`
}{
"location": {
Type: "string",
Description: "The city and state",
},
"unit": {
Type: "string",
Enum: []string{"celsius", "fahrenheit"},
},
},
},
},
},
}
// Simulate streaming response with multiple chunks
var wg sync.WaitGroup
wg.Add(1)
mock.CompletionFn = func(ctx context.Context, r llm.CompletionRequest, fn func(r llm.CompletionResponse)) error {
defer wg.Done()
// Send chunks with small delays to simulate streaming
responses := []llm.CompletionResponse{
{
Content: `{"name":"get_`,
Done: false,
PromptEvalCount: 1,
PromptEvalDuration: 1,
},
{
Content: `weather","arguments":{"location":"Seattle`,
Done: false,
PromptEvalCount: 2,
PromptEvalDuration: 1,
},
{
Content: `, WA","unit":"celsius"}}`,
Done: true,
DoneReason: "tool_call",
PromptEvalCount: 3,
PromptEvalDuration: 1,
},
}
for _, resp := range responses {
select {
case <-ctx.Done():
return ctx.Err()
default:
fn(resp)
time.Sleep(10 * time.Millisecond) // Small delay between chunks
}
}
return nil
}
w := createRequest(t, s.ChatHandler, api.ChatRequest{
Model: "test-system",
Messages: []api.Message{
{Role: "user", Content: "What's the weather in Seattle?"},
},
Tools: tools,
Stream: &stream,
})
wg.Wait()
if w.Code != http.StatusOK {
t.Errorf("expected status 200, got %d", w.Code)
}
// Read and validate the streamed responses
decoder := json.NewDecoder(w.Body)
var finalToolCall api.ToolCall
for {
var resp api.ChatResponse
if err := decoder.Decode(&resp); err == io.EOF {
break
} else if err != nil {
t.Fatal(err)
}
if resp.Done {
if len(resp.Message.ToolCalls) != 1 {
t.Errorf("expected 1 tool call in final response, got %d", len(resp.Message.ToolCalls))
}
finalToolCall = resp.Message.ToolCalls[0]
}
}
expectedToolCall := api.ToolCall{
Function: api.ToolCallFunction{
Name: "get_weather",
Arguments: api.ToolCallFunctionArguments{
"location": "Seattle, WA",
"unit": "celsius",
},
},
}
if diff := cmp.Diff(finalToolCall, expectedToolCall); diff != "" {
t.Errorf("final tool call mismatch (-got +want):\n%s", diff)
}
})
}
func TestGenerate(t *testing.T) {