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Author SHA1 Message Date
likelovewant
c7e2f8889d merge update ,remove update api 2024-07-18 12:17:00 +08:00
41 changed files with 209 additions and 2420 deletions

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@@ -126,7 +126,7 @@ jobs:
strategy:
matrix:
rocm-version:
- '6.1.2'
- '6.1.1'
runs-on: linux
container: rocm/dev-ubuntu-20.04:${{ matrix.rocm-version }}
steps:

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@@ -2,7 +2,7 @@ ARG GOLANG_VERSION=1.22.1
ARG CMAKE_VERSION=3.22.1
# this CUDA_VERSION corresponds with the one specified in docs/gpu.md
ARG CUDA_VERSION=11.3.1
ARG ROCM_VERSION=6.1.2
ARG ROCM_VERSION=6.1.1
# Copy the minimal context we need to run the generate scripts
FROM scratch AS llm-code

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@@ -312,8 +312,6 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [LLocal.in](https://github.com/kartikm7/llocal) (Easy to use Electron Desktop Client for Ollama)
- [Ollama with Google Mesop](https://github.com/rapidarchitect/ollama_mesop/) (Mesop Chat Client implementation with Ollama)
- [Kerlig AI](https://www.kerlig.com/) (AI writing assistant for macOS)
- [AI Studio](https://github.com/MindWorkAI/AI-Studio)
- [Sidellama](https://github.com/gyopak/sidellama) (browser-based LLM client)
### Terminal

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@@ -347,16 +347,7 @@ func (c *Client) Heartbeat(ctx context.Context) error {
return nil
}
// Embed generates embeddings from a model.
func (c *Client) Embed(ctx context.Context, req *EmbedRequest) (*EmbedResponse, error) {
var resp EmbedResponse
if err := c.do(ctx, http.MethodPost, "/api/embed", req, &resp); err != nil {
return nil, err
}
return &resp, nil
}
// Embeddings generates an embedding from a model.
// Embeddings generates embeddings from a model.
func (c *Client) Embeddings(ctx context.Context, req *EmbeddingRequest) (*EmbeddingResponse, error) {
var resp EmbeddingResponse
if err := c.do(ctx, http.MethodPost, "/api/embeddings", req, &resp); err != nil {

View File

@@ -47,9 +47,6 @@ type GenerateRequest struct {
// Prompt is the textual prompt to send to the model.
Prompt string `json:"prompt"`
// Suffix is the text that comes after the inserted text.
Suffix string `json:"suffix"`
// System overrides the model's default system message/prompt.
System string `json:"system"`
@@ -100,20 +97,10 @@ type ChatRequest struct {
// followin the request.
KeepAlive *Duration `json:"keep_alive,omitempty"`
// Tools is an optional list of tools the model has access to.
Tools `json:"tools,omitempty"`
// Options lists model-specific options.
Options map[string]interface{} `json:"options"`
}
type Tools []Tool
func (t Tools) String() string {
bts, _ := json.Marshal(t)
return string(bts)
}
// Message is a single message in a chat sequence. The message contains the
// role ("system", "user", or "assistant"), the content and an optional list
// of images.
@@ -121,59 +108,6 @@ type Message struct {
Role string `json:"role"`
Content string `json:"content"`
Images []ImageData `json:"images,omitempty"`
ToolCalls []ToolCall `json:"tool_calls,omitempty"`
}
func (m *Message) UnmarshalJSON(b []byte) error {
type Alias Message
var a Alias
if err := json.Unmarshal(b, &a); err != nil {
return err
}
*m = Message(a)
m.Role = strings.ToLower(m.Role)
return nil
}
type ToolCall struct {
Function ToolCallFunction `json:"function"`
}
type ToolCallFunction struct {
Name string `json:"name"`
Arguments ToolCallFunctionArguments `json:"arguments"`
}
type ToolCallFunctionArguments map[string]any
func (t *ToolCallFunctionArguments) String() string {
bts, _ := json.Marshal(t)
return string(bts)
}
type Tool struct {
Type string `json:"type"`
Function ToolFunction `json:"function"`
}
type ToolFunction struct {
Name string `json:"name"`
Description string `json:"description"`
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"`
} `json:"parameters"`
}
func (t *ToolFunction) String() string {
bts, _ := json.Marshal(t)
return string(bts)
}
// ChatResponse is the response returned by [Client.Chat]. Its fields are
@@ -239,30 +173,6 @@ type Runner struct {
NumThread int `json:"num_thread,omitempty"`
}
// EmbedRequest is the request passed to [Client.Embed].
type EmbedRequest struct {
// Model is the model name.
Model string `json:"model"`
// Input is the input to embed.
Input any `json:"input"`
// KeepAlive controls how long the model will stay loaded in memory following
// this request.
KeepAlive *Duration `json:"keep_alive,omitempty"`
Truncate *bool `json:"truncate,omitempty"`
// Options lists model-specific options.
Options map[string]interface{} `json:"options"`
}
// EmbedResponse is the response from [Client.Embed].
type EmbedResponse struct {
Model string `json:"model"`
Embeddings [][]float32 `json:"embeddings"`
}
// EmbeddingRequest is the request passed to [Client.Embeddings].
type EmbeddingRequest struct {
// Model is the model name.
@@ -311,8 +221,6 @@ type DeleteRequest struct {
type ShowRequest struct {
Model string `json:"model"`
System string `json:"system"`
// Template is deprecated
Template string `json:"template"`
Verbose bool `json:"verbose"`

View File

@@ -208,26 +208,3 @@ func TestUseMmapFormatParams(t *testing.T) {
})
}
}
func TestMessage_UnmarshalJSON(t *testing.T) {
tests := []struct {
input string
expected string
}{
{`{"role": "USER", "content": "Hello!"}`, "user"},
{`{"role": "System", "content": "Initialization complete."}`, "system"},
{`{"role": "assistant", "content": "How can I help you?"}`, "assistant"},
{`{"role": "TOOl", "content": "Access granted."}`, "tool"},
}
for _, test := range tests {
var msg Message
if err := json.Unmarshal([]byte(test.input), &msg); err != nil {
t.Errorf("Unexpected error: %v", err)
}
if msg.Role != test.expected {
t.Errorf("role not lowercased: got %v, expected %v", msg.Role, test.expected)
}
}
}

View File

@@ -843,6 +843,7 @@ type runOptions struct {
WordWrap bool
Format string
System string
Template string
Images []api.ImageData
Options map[string]interface{}
MultiModal bool
@@ -1036,6 +1037,7 @@ func generate(cmd *cobra.Command, opts runOptions) error {
Images: opts.Images,
Format: opts.Format,
System: opts.System,
Template: opts.Template,
Options: opts.Options,
KeepAlive: opts.KeepAlive,
}

View File

@@ -27,6 +27,7 @@ const (
MultilineNone MultilineState = iota
MultilinePrompt
MultilineSystem
MultilineTemplate
)
func loadModel(cmd *cobra.Command, opts *runOptions) error {
@@ -93,6 +94,7 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
fmt.Fprintln(os.Stderr, "Available Commands:")
fmt.Fprintln(os.Stderr, " /set parameter ... Set a parameter")
fmt.Fprintln(os.Stderr, " /set system <string> Set system message")
fmt.Fprintln(os.Stderr, " /set template <string> Set prompt template")
fmt.Fprintln(os.Stderr, " /set history Enable history")
fmt.Fprintln(os.Stderr, " /set nohistory Disable history")
fmt.Fprintln(os.Stderr, " /set wordwrap Enable wordwrap")
@@ -202,6 +204,10 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
opts.Messages = append(opts.Messages, api.Message{Role: "system", Content: opts.System})
fmt.Println("Set system message.")
sb.Reset()
case MultilineTemplate:
opts.Template = sb.String()
fmt.Println("Set prompt template.")
sb.Reset()
}
multiline = MultilineNone
@@ -320,13 +326,17 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
}
fmt.Printf("Set parameter '%s' to '%s'\n", args[2], strings.Join(params, ", "))
opts.Options[args[2]] = fp[args[2]]
case "system":
case "system", "template":
if len(args) < 3 {
usageSet()
continue
}
if args[1] == "system" {
multiline = MultilineSystem
} else if args[1] == "template" {
multiline = MultilineTemplate
}
line := strings.Join(args[2:], " ")
line, ok := strings.CutPrefix(line, `"""`)
@@ -346,6 +356,7 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
continue
}
if args[1] == "system" {
opts.System = sb.String() // for display in modelfile
newMessage := api.Message{Role: "system", Content: sb.String()}
// Check if the slice is not empty and the last message is from 'system'
@@ -357,6 +368,11 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
}
fmt.Println("Set system message.")
sb.Reset()
} else if args[1] == "template" {
opts.Template = sb.String()
fmt.Println("Set prompt template.")
sb.Reset()
}
sb.Reset()
continue
@@ -377,6 +393,7 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
req := &api.ShowRequest{
Name: opts.Model,
System: opts.System,
Template: opts.Template,
Options: opts.Options,
}
resp, err := client.Show(cmd.Context(), req)
@@ -420,9 +437,12 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
fmt.Println("No system message was specified for this model.")
}
case "template":
if resp.Template != "" {
switch {
case opts.Template != "":
fmt.Println(opts.Template + "\n")
case resp.Template != "":
fmt.Println(resp.Template)
} else {
default:
fmt.Println("No prompt template was specified for this model.")
}
default:
@@ -516,6 +536,10 @@ func buildModelfile(opts runOptions) string {
fmt.Fprintf(&mf, "SYSTEM \"\"\"%s\"\"\"\n", opts.System)
}
if opts.Template != "" {
fmt.Fprintf(&mf, "TEMPLATE \"\"\"%s\"\"\"\n", opts.Template)
}
keys := make([]string, 0)
for k := range opts.Options {
keys = append(keys, k)

View File

@@ -59,6 +59,7 @@ func TestModelfileBuilder(t *testing.T) {
opts := runOptions{
Model: "hork",
System: "You are part horse and part shark, but all hork. Do horklike things",
Template: "This is a template.",
Messages: []api.Message{
{Role: "user", Content: "Hey there hork!"},
{Role: "assistant", Content: "Yes it is true, I am half horse, half shark."},
@@ -74,6 +75,7 @@ func TestModelfileBuilder(t *testing.T) {
mf := buildModelfile(opts)
expectedModelfile := `FROM {{.Model}}
SYSTEM """{{.System}}"""
TEMPLATE """{{.Template}}"""
PARAMETER penalize_newline false
PARAMETER seed 42
PARAMETER stop [hi there]
@@ -95,6 +97,7 @@ MESSAGE assistant """Yes it is true, I am half horse, half shark."""
mf = buildModelfile(opts)
expectedModelfile = `FROM {{.ParentModel}}
SYSTEM """{{.System}}"""
TEMPLATE """{{.Template}}"""
PARAMETER penalize_newline false
PARAMETER seed 42
PARAMETER stop [hi there]

View File

@@ -103,6 +103,10 @@ curl http://localhost:11434/v1/chat/completions \
- [ ] `user`
- [ ] `n`
#### Notes
- `usage.prompt_tokens` will be 0 for completions where prompt evaluation is cached
## Models
Before using a model, pull it locally `ollama pull`:

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@@ -1,152 +0,0 @@
//go:build integration
package integration
import (
"context"
"testing"
"time"
"github.com/ollama/ollama/api"
)
func TestAllMiniLMEmbed(t *testing.T) {
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute)
defer cancel()
req := api.EmbedRequest{
Model: "all-minilm",
Input: "why is the sky blue?",
}
res, err := embedTestHelper(ctx, t, req)
if err != nil {
t.Fatalf("error: %v", err)
}
if len(res.Embeddings) != 1 {
t.Fatalf("expected 1 embedding, got %d", len(res.Embeddings))
}
if len(res.Embeddings[0]) != 384 {
t.Fatalf("expected 384 floats, got %d", len(res.Embeddings[0]))
}
if res.Embeddings[0][0] != 0.010071031 {
t.Fatalf("expected 0.010071031, got %f", res.Embeddings[0][0])
}
}
func TestAllMiniLMBatchEmbed(t *testing.T) {
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute)
defer cancel()
req := api.EmbedRequest{
Model: "all-minilm",
Input: []string{"why is the sky blue?", "why is the grass green?"},
}
res, err := embedTestHelper(ctx, t, req)
if err != nil {
t.Fatalf("error: %v", err)
}
if len(res.Embeddings) != 2 {
t.Fatalf("expected 2 embeddings, got %d", len(res.Embeddings))
}
if len(res.Embeddings[0]) != 384 {
t.Fatalf("expected 384 floats, got %d", len(res.Embeddings[0]))
}
if res.Embeddings[0][0] != 0.010071031 || res.Embeddings[1][0] != -0.009802706 {
t.Fatalf("expected 0.010071031 and -0.009802706, got %f and %f", res.Embeddings[0][0], res.Embeddings[1][0])
}
}
func TestAllMiniLmEmbedTruncate(t *testing.T) {
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute)
defer cancel()
truncTrue, truncFalse := true, false
type testReq struct {
Name string
Request api.EmbedRequest
}
reqs := []testReq{
{
Name: "Target Truncation",
Request: api.EmbedRequest{
Model: "all-minilm",
Input: "why",
},
},
{
Name: "Default Truncate",
Request: api.EmbedRequest{
Model: "all-minilm",
Input: "why is the sky blue?",
Options: map[string]any{"num_ctx": 1},
},
},
{
Name: "Explicit Truncate",
Request: api.EmbedRequest{
Model: "all-minilm",
Input: "why is the sky blue?",
Truncate: &truncTrue,
Options: map[string]any{"num_ctx": 1},
},
},
}
res := make(map[string]*api.EmbedResponse)
for _, req := range reqs {
response, err := embedTestHelper(ctx, t, req.Request)
if err != nil {
t.Fatalf("error: %v", err)
}
res[req.Name] = response
}
if res["Target Truncation"].Embeddings[0][0] != res["Default Truncate"].Embeddings[0][0] {
t.Fatal("expected default request to truncate correctly")
}
if res["Default Truncate"].Embeddings[0][0] != res["Explicit Truncate"].Embeddings[0][0] {
t.Fatal("expected default request and truncate true request to be the same")
}
// check that truncate set to false returns an error if context length is exceeded
_, err := embedTestHelper(ctx, t, api.EmbedRequest{
Model: "all-minilm",
Input: "why is the sky blue?",
Truncate: &truncFalse,
Options: map[string]any{"num_ctx": 1},
})
if err == nil {
t.Fatal("expected error, got nil")
}
}
func embedTestHelper(ctx context.Context, t *testing.T, req api.EmbedRequest) (*api.EmbedResponse, error) {
client, _, cleanup := InitServerConnection(ctx, t)
defer cleanup()
if err := PullIfMissing(ctx, client, req.Model); err != nil {
t.Fatalf("failed to pull model %s: %v", req.Model, err)
}
response, err := client.Embed(ctx, &req)
if err != nil {
return nil, err
}
return response, nil
}

View File

@@ -3188,33 +3188,26 @@ int main(int argc, char **argv) {
prompt = "";
}
if (prompt.size() == 1) {
prompt = prompt[0];
json image_data;
if (body.count("image_data") != 0) {
image_data = body["image_data"];
}
else
{
image_data = "";
}
// create and queue the task
json responses;
{
const int id_task = llama.queue_tasks.get_new_id();
llama.queue_results.add_waiting_task_id(id_task);
llama.request_completion(id_task, {{"prompt", prompt}}, true, -1);
const int task_id = llama.queue_tasks.get_new_id();
llama.queue_results.add_waiting_task_id(task_id);
llama.request_completion(task_id, { {"prompt", prompt}, { "n_predict", 0}, {"image_data", image_data} }, true, -1);
// get the result
task_result result = llama.queue_results.recv(id_task);
llama.queue_results.remove_waiting_task_id(id_task);
if (result.error) {
return res.set_content(result.result_json.dump(), "application/json; charset=utf-8");
}
task_result result = llama.queue_results.recv(task_id);
llama.queue_results.remove_waiting_task_id(task_id);
responses = result.result_json.value("results", std::vector<json>{result.result_json});
json embeddings = json::array();
for (auto & elem : responses) {
embeddings.push_back(elem.at("embedding"));
}
// send the result
json embedding_res = json{{"embedding", embeddings}};
return res.set_content(embedding_res.dump(), "application/json; charset=utf-8");
}
return res.set_content(result.result_json.dump(), "application/json; charset=utf-8");
});
// GG: if I put the main loop inside a thread, it crashes on the first request when build in Debug!?

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@@ -6,11 +6,12 @@ function amdGPUs {
if ($env:AMDGPU_TARGETS) {
return $env:AMDGPU_TARGETS
}
# Current supported rocblas list from ROCm v6.1.2 on windows
# TODO - load from some common data file for linux + windows build consistency
$GPU_LIST = @(
"gfx803"
"gfx900"
"gfx902"
"gfx904"
"gfx90c:xnack-"
"gfx906:xnack-"
"gfx908:xnack-"
@@ -19,7 +20,7 @@ function amdGPUs {
"gfx940"
"gfx941"
"gfx942"
"gfx1010:xnack-"
"gfx1010"
"gfx1011"
"gfx1012:xnack-"
"gfx1030"
@@ -50,8 +51,8 @@ function init_vars {
}
$script:cmakeDefs = @(
"-DBUILD_SHARED_LIBS=on",
"-DGGML_NATIVE=off",
"-DGGML_OPENMP=off"
"-DLLAMA_NATIVE=off",
"-DLLAMA_OPENMP=off"
)
$script:commonCpuDefs = @("-DCMAKE_POSITION_INDEPENDENT_CODE=on")
$script:ARCH = $Env:PROCESSOR_ARCHITECTURE.ToLower()
@@ -193,9 +194,9 @@ function cleanup {
}
# -DGGML_AVX -- 2011 Intel Sandy Bridge & AMD Bulldozer
# -DGGML_AVX2 -- 2013 Intel Haswell & 2015 AMD Excavator / 2017 AMD Zen
# -DGGML_FMA (FMA3) -- 2013 Intel Haswell & 2012 AMD Piledriver
# -DLLAMA_AVX -- 2011 Intel Sandy Bridge & AMD Bulldozer
# -DLLAMA_AVX2 -- 2013 Intel Haswell & 2015 AMD Excavator / 2017 AMD Zen
# -DLLAMA_FMA (FMA3) -- 2013 Intel Haswell & 2012 AMD Piledriver
function build_static() {
@@ -215,13 +216,13 @@ function build_static() {
"-DCMAKE_C_COMPILER=gcc.exe",
"-DCMAKE_CXX_COMPILER=g++.exe",
"-DBUILD_SHARED_LIBS=off",
"-DGGML_NATIVE=off",
"-DGGML_AVX=off",
"-DGGML_AVX2=off",
"-DGGML_AVX512=off",
"-DGGML_F16C=off",
"-DGGML_FMA=off",
"-DGGML_OPENMP=off")
"-DLLAMA_NATIVE=off",
"-DLLAMA_AVX=off",
"-DLLAMA_AVX2=off",
"-DLLAMA_AVX512=off",
"-DLLAMA_F16C=off",
"-DLLAMA_FMA=off",
"-DLLAMA_OPENMP=off")
$script:buildDir="../build/windows/${script:ARCH}_static"
write-host "Building static library"
build
@@ -235,7 +236,7 @@ function build_cpu($gen_arch) {
if ((-not "${env:OLLAMA_SKIP_CPU_GENERATE}" ) -and ((-not "${env:OLLAMA_CPU_TARGET}") -or ("${env:OLLAMA_CPU_TARGET}" -eq "cpu"))) {
# remaining llama.cpp builds use MSVC
init_vars
$script:cmakeDefs = $script:commonCpuDefs + @("-A", $gen_arch, "-DGGML_AVX=off", "-DGGML_AVX2=off", "-DGGML_AVX512=off", "-DGGML_FMA=off", "-DGGML_F16C=off") + $script:cmakeDefs
$script:cmakeDefs = $script:commonCpuDefs + @("-A", $gen_arch, "-DLLAMA_AVX=off", "-DLLAMA_AVX2=off", "-DLLAMA_AVX512=off", "-DLLAMA_FMA=off", "-DLLAMA_F16C=off") + $script:cmakeDefs
$script:buildDir="../build/windows/${script:ARCH}/cpu"
$script:distDir="$script:DIST_BASE\cpu"
write-host "Building LCD CPU"
@@ -250,7 +251,7 @@ function build_cpu($gen_arch) {
function build_cpu_avx() {
if ((-not "${env:OLLAMA_SKIP_CPU_GENERATE}" ) -and ((-not "${env:OLLAMA_CPU_TARGET}") -or ("${env:OLLAMA_CPU_TARGET}" -eq "cpu_avx"))) {
init_vars
$script:cmakeDefs = $script:commonCpuDefs + @("-A", "x64", "-DGGML_AVX=on", "-DGGML_AVX2=off", "-DGGML_AVX512=off", "-DGGML_FMA=off", "-DGGML_F16C=off") + $script:cmakeDefs
$script:cmakeDefs = $script:commonCpuDefs + @("-A", "x64", "-DLLAMA_AVX=on", "-DLLAMA_AVX2=off", "-DLLAMA_AVX512=off", "-DLLAMA_FMA=off", "-DLLAMA_F16C=off") + $script:cmakeDefs
$script:buildDir="../build/windows/${script:ARCH}/cpu_avx"
$script:distDir="$script:DIST_BASE\cpu_avx"
write-host "Building AVX CPU"
@@ -265,7 +266,7 @@ function build_cpu_avx() {
function build_cpu_avx2() {
if ((-not "${env:OLLAMA_SKIP_CPU_GENERATE}" ) -and ((-not "${env:OLLAMA_CPU_TARGET}") -or ("${env:OLLAMA_CPU_TARGET}" -eq "cpu_avx2"))) {
init_vars
$script:cmakeDefs = $script:commonCpuDefs + @("-A", "x64", "-DGGML_AVX=on", "-DGGML_AVX2=on", "-DGGML_AVX512=off", "-DGGML_FMA=on", "-DGGML_F16C=on") + $script:cmakeDefs
$script:cmakeDefs = $script:commonCpuDefs + @("-A", "x64", "-DLLAMA_AVX=on", "-DLLAMA_AVX2=on", "-DLLAMA_AVX512=off", "-DLLAMA_FMA=on", "-DLLAMA_F16C=on") + $script:cmakeDefs
$script:buildDir="../build/windows/${script:ARCH}/cpu_avx2"
$script:distDir="$script:DIST_BASE\cpu_avx2"
write-host "Building AVX2 CPU"
@@ -290,9 +291,9 @@ function build_cuda() {
$script:distDir="$script:DIST_BASE\cuda$script:CUDA_VARIANT"
$script:cmakeDefs += @(
"-A", "x64",
"-DGGML_CUDA=ON",
"-DGGML_AVX=on",
"-DGGML_AVX2=off",
"-DLLAMA_CUDA=ON",
"-DLLAMA_AVX=on",
"-DLLAMA_AVX2=off",
"-DCUDAToolkit_INCLUDE_DIR=$script:CUDA_INCLUDE_DIR",
"-DCMAKE_CUDA_FLAGS=-t8",
"-DCMAKE_CUDA_ARCHITECTURES=${script:CMAKE_CUDA_ARCHITECTURES}"
@@ -330,7 +331,7 @@ function build_oneapi() {
$script:distDir ="$script:DIST_BASE\oneapi$script:ONEAPI_VARIANT"
$script:cmakeDefs += @(
"-G", "MinGW Makefiles",
"-DGGML_SYCL=ON",
"-DLLAMA_SYCL=ON",
"-DCMAKE_C_COMPILER=icx",
"-DCMAKE_CXX_COMPILER=icx",
"-DCMAKE_BUILD_TYPE=Release"
@@ -376,11 +377,10 @@ function build_rocm() {
"-G", "Ninja",
"-DCMAKE_C_COMPILER=clang.exe",
"-DCMAKE_CXX_COMPILER=clang++.exe",
"-DGGML_HIPBLAS=on",
"-DLLAMA_CUDA_NO_PEER_COPY=on",
"-DLLAMA_HIPBLAS=on",
"-DHIP_PLATFORM=amd",
"-DGGML_AVX=on",
"-DGGML_AVX2=off",
"-DLLAMA_AVX=on",
"-DLLAMA_AVX2=off",
"-DCMAKE_POSITION_INDEPENDENT_CODE=on",
"-DAMDGPU_TARGETS=$(amdGPUs)",
"-DGPU_TARGETS=$(amdGPUs)"
@@ -406,6 +406,7 @@ function build_rocm() {
sign
install
# Assumes v5.7, may need adjustments for v6
rm -ea 0 -recurse -force -path "${script:SRC_DIR}\dist\windows-${script:ARCH}\rocm\"
md "${script:SRC_DIR}\dist\windows-${script:ARCH}\rocm\rocblas\library\" -ea 0 > $null
cp "${env:HIP_PATH}\bin\hipblas.dll" "${script:SRC_DIR}\dist\windows-${script:ARCH}\rocm\"

View File

@@ -537,7 +537,6 @@ var ggufKVOrder = map[string][]string{
"tokenizer.ggml.add_bos_token",
"tokenizer.ggml.add_eos_token",
"tokenizer.chat_template",
"bert.pooling_type",
},
}

View File

@@ -33,7 +33,7 @@ type LlamaServer interface {
Ping(ctx context.Context) error
WaitUntilRunning(ctx context.Context) error
Completion(ctx context.Context, req CompletionRequest, fn func(CompletionResponse)) error
Embed(ctx context.Context, input []string) ([][]float32, error)
Embedding(ctx context.Context, prompt string) ([]float64, error)
Tokenize(ctx context.Context, content string) ([]int, error)
Detokenize(ctx context.Context, tokens []int) (string, error)
Close() error
@@ -867,15 +867,15 @@ func (s *llmServer) Completion(ctx context.Context, req CompletionRequest, fn fu
return nil
}
type EmbedRequest struct {
Content []string `json:"content"`
type EmbeddingRequest struct {
Content string `json:"content"`
}
type EmbedResponse struct {
Embedding [][]float32 `json:"embedding"`
type EmbeddingResponse struct {
Embedding []float64 `json:"embedding"`
}
func (s *llmServer) Embed(ctx context.Context, input []string) ([][]float32, error) {
func (s *llmServer) Embedding(ctx context.Context, prompt string) ([]float64, error) {
if err := s.sem.Acquire(ctx, 1); err != nil {
slog.Error("Failed to acquire semaphore", "error", err)
return nil, err
@@ -890,7 +890,7 @@ func (s *llmServer) Embed(ctx context.Context, input []string) ([][]float32, err
return nil, fmt.Errorf("unexpected server status: %s", status.ToString())
}
data, err := json.Marshal(EmbedRequest{Content: input})
data, err := json.Marshal(TokenizeRequest{Content: prompt})
if err != nil {
return nil, fmt.Errorf("error marshaling embed data: %w", err)
}
@@ -917,7 +917,7 @@ func (s *llmServer) Embed(ctx context.Context, input []string) ([][]float32, err
return nil, fmt.Errorf("%s", body)
}
var embedding EmbedResponse
var embedding EmbeddingResponse
if err := json.Unmarshal(body, &embedding); err != nil {
return nil, fmt.Errorf("unmarshal tokenize response: %w", err)
}

View File

@@ -3,14 +3,11 @@ package openai
import (
"bytes"
"encoding/base64"
"encoding/json"
"fmt"
"io"
"log/slog"
"math/rand"
"net/http"
"strings"
"time"
"github.com/gin-gonic/gin"
@@ -31,8 +28,7 @@ type ErrorResponse struct {
type Message struct {
Role string `json:"role"`
Content any `json:"content"`
ToolCalls []ToolCall `json:"tool_calls,omitempty"`
Content string `json:"content"`
}
type Choice struct {
@@ -63,11 +59,6 @@ type ResponseFormat struct {
Type string `json:"type"`
}
type EmbedRequest struct {
Input any `json:"input"`
Model string `json:"model"`
}
type ChatCompletionRequest struct {
Model string `json:"model"`
Messages []Message `json:"messages"`
@@ -80,7 +71,6 @@ type ChatCompletionRequest struct {
PresencePenalty *float64 `json:"presence_penalty_penalty"`
TopP *float64 `json:"top_p"`
ResponseFormat *ResponseFormat `json:"response_format"`
Tools []api.Tool `json:"tools"`
}
type ChatCompletion struct {
@@ -114,7 +104,6 @@ type CompletionRequest struct {
Stream bool `json:"stream"`
Temperature *float32 `json:"temperature"`
TopP float32 `json:"top_p"`
Suffix string `json:"suffix"`
}
type Completion struct {
@@ -136,15 +125,6 @@ type CompletionChunk struct {
SystemFingerprint string `json:"system_fingerprint"`
}
type ToolCall struct {
ID string `json:"id"`
Type string `json:"type"`
Function struct {
Name string `json:"name"`
Arguments string `json:"arguments"`
} `json:"function"`
}
type Model struct {
Id string `json:"id"`
Object string `json:"object"`
@@ -152,23 +132,11 @@ type Model struct {
OwnedBy string `json:"owned_by"`
}
type Embedding struct {
Object string `json:"object"`
Embedding []float32 `json:"embedding"`
Index int `json:"index"`
}
type ListCompletion struct {
Object string `json:"object"`
Data []Model `json:"data"`
}
type EmbeddingList struct {
Object string `json:"object"`
Data []Embedding `json:"data"`
Model string `json:"model"`
}
func NewError(code int, message string) ErrorResponse {
var etype string
switch code {
@@ -183,31 +151,7 @@ func NewError(code int, message string) ErrorResponse {
return ErrorResponse{Error{Type: etype, Message: message}}
}
func toolCallId() string {
const letterBytes = "abcdefghijklmnopqrstuvwxyz0123456789"
b := make([]byte, 8)
for i := range b {
b[i] = letterBytes[rand.Intn(len(letterBytes))]
}
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 {
toolCalls[i].ID = toolCallId()
toolCalls[i].Type = "function"
toolCalls[i].Function.Name = tc.Function.Name
args, err := json.Marshal(tc.Function.Arguments)
if err != nil {
slog.Error("could not marshall function arguments to json", "error", err)
continue
}
toolCalls[i].Function.Arguments = string(args)
}
return ChatCompletion{
Id: id,
Object: "chat.completion",
@@ -216,7 +160,7 @@ func toChatCompletion(id string, r api.ChatResponse) ChatCompletion {
SystemFingerprint: "fp_ollama",
Choices: []Choice{{
Index: 0,
Message: Message{Role: r.Message.Role, Content: r.Message.Content, ToolCalls: toolCalls},
Message: Message{Role: r.Message.Role, Content: r.Message.Content},
FinishReason: func(reason string) *string {
if len(reason) > 0 {
return &reason
@@ -225,6 +169,7 @@ func toChatCompletion(id string, r api.ChatResponse) ChatCompletion {
}(r.DoneReason),
}},
Usage: Usage{
// TODO: ollama returns 0 for prompt eval if the prompt was cached, but openai returns the actual count
PromptTokens: r.PromptEvalCount,
CompletionTokens: r.EvalCount,
TotalTokens: r.PromptEvalCount + r.EvalCount,
@@ -270,6 +215,7 @@ func toCompletion(id string, r api.GenerateResponse) Completion {
}(r.DoneReason),
}},
Usage: Usage{
// TODO: ollama returns 0 for prompt eval if the prompt was cached, but openai returns the actual count
PromptTokens: r.PromptEvalCount,
CompletionTokens: r.EvalCount,
TotalTokens: r.PromptEvalCount + r.EvalCount,
@@ -314,27 +260,6 @@ func toListCompletion(r api.ListResponse) ListCompletion {
}
}
func toEmbeddingList(model string, r api.EmbedResponse) EmbeddingList {
if r.Embeddings != nil {
var data []Embedding
for i, e := range r.Embeddings {
data = append(data, Embedding{
Object: "embedding",
Embedding: e,
Index: i,
})
}
return EmbeddingList{
Object: "list",
Data: data,
Model: model,
}
}
return EmbeddingList{}
}
func toModel(r api.ShowResponse, m string) Model {
return Model{
Id: m,
@@ -344,78 +269,10 @@ func toModel(r api.ShowResponse, m string) Model {
}
}
func fromChatRequest(r ChatCompletionRequest) (*api.ChatRequest, error) {
func fromChatRequest(r ChatCompletionRequest) api.ChatRequest {
var messages []api.Message
for _, msg := range r.Messages {
switch content := msg.Content.(type) {
case string:
messages = append(messages, api.Message{Role: msg.Role, Content: content})
case []any:
message := api.Message{Role: msg.Role}
for _, c := range content {
data, ok := c.(map[string]any)
if !ok {
return nil, fmt.Errorf("invalid message format")
}
switch data["type"] {
case "text":
text, ok := data["text"].(string)
if !ok {
return nil, fmt.Errorf("invalid message format")
}
message.Content = text
case "image_url":
var url string
if urlMap, ok := data["image_url"].(map[string]any); ok {
if url, ok = urlMap["url"].(string); !ok {
return nil, fmt.Errorf("invalid message format")
}
} else {
if url, ok = data["image_url"].(string); !ok {
return nil, fmt.Errorf("invalid message format")
}
}
types := []string{"jpeg", "jpg", "png"}
valid := false
for _, t := range types {
prefix := "data:image/" + t + ";base64,"
if strings.HasPrefix(url, prefix) {
url = strings.TrimPrefix(url, prefix)
valid = true
break
}
}
if !valid {
return nil, fmt.Errorf("invalid image input")
}
img, err := base64.StdEncoding.DecodeString(url)
if err != nil {
return nil, fmt.Errorf("invalid message format")
}
message.Images = append(message.Images, img)
default:
return nil, fmt.Errorf("invalid message format")
}
}
messages = append(messages, message)
default:
if msg.ToolCalls == nil {
return nil, fmt.Errorf("invalid message content type: %T", content)
}
toolCalls := make([]api.ToolCall, len(msg.ToolCalls))
for i, tc := range msg.ToolCalls {
toolCalls[i].Function.Name = tc.Function.Name
err := json.Unmarshal([]byte(tc.Function.Arguments), &toolCalls[i].Function.Arguments)
if err != nil {
return nil, fmt.Errorf("invalid tool call arguments")
}
}
messages = append(messages, api.Message{Role: msg.Role, ToolCalls: toolCalls})
}
messages = append(messages, api.Message{Role: msg.Role, Content: msg.Content})
}
options := make(map[string]interface{})
@@ -466,14 +323,13 @@ func fromChatRequest(r ChatCompletionRequest) (*api.ChatRequest, error) {
format = "json"
}
return &api.ChatRequest{
return api.ChatRequest{
Model: r.Model,
Messages: messages,
Format: format,
Options: options,
Stream: &r.Stream,
Tools: r.Tools,
}, nil
}
}
func fromCompleteRequest(r CompletionRequest) (api.GenerateRequest, error) {
@@ -523,7 +379,6 @@ func fromCompleteRequest(r CompletionRequest) (api.GenerateRequest, error) {
Prompt: r.Prompt,
Options: options,
Stream: &r.Stream,
Suffix: r.Suffix,
}, nil
}
@@ -552,11 +407,6 @@ type RetrieveWriter struct {
model string
}
type EmbedWriter struct {
BaseWriter
model string
}
func (w *BaseWriter) writeError(code int, data []byte) (int, error) {
var serr api.StatusError
err := json.Unmarshal(data, &serr)
@@ -722,33 +572,6 @@ func (w *RetrieveWriter) Write(data []byte) (int, error) {
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(toEmbeddingList(w.model, embedResponse))
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(code, data)
}
return w.writeResponse(data)
}
func ListMiddleware() gin.HandlerFunc {
return func(c *gin.Context) {
w := &ListWriter{
@@ -812,47 +635,6 @@ func CompletionsMiddleware() gin.HandlerFunc {
id: fmt.Sprintf("cmpl-%d", rand.Intn(999)),
}
c.Writer = w
c.Next()
}
}
func EmbeddingsMiddleware() gin.HandlerFunc {
return func(c *gin.Context) {
var req EmbedRequest
err := c.ShouldBindJSON(&req)
if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, NewError(http.StatusBadRequest, err.Error()))
return
}
if req.Input == "" {
req.Input = []string{""}
}
if req.Input == nil {
c.AbortWithStatusJSON(http.StatusBadRequest, NewError(http.StatusBadRequest, "invalid input"))
return
}
if v, ok := req.Input.([]any); ok && len(v) == 0 {
c.AbortWithStatusJSON(http.StatusBadRequest, NewError(http.StatusBadRequest, "invalid input"))
return
}
var b bytes.Buffer
if err := json.NewEncoder(&b).Encode(api.EmbedRequest{Model: req.Model, Input: req.Input}); err != nil {
c.AbortWithStatusJSON(http.StatusInternalServerError, NewError(http.StatusInternalServerError, err.Error()))
return
}
c.Request.Body = io.NopCloser(&b)
w := &EmbedWriter{
BaseWriter: BaseWriter{ResponseWriter: c.Writer},
model: req.Model,
}
c.Writer = w
c.Next()
@@ -874,13 +656,7 @@ func ChatMiddleware() gin.HandlerFunc {
}
var b bytes.Buffer
chatReq, err := fromChatRequest(req)
if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, NewError(http.StatusBadRequest, err.Error()))
}
if err := json.NewEncoder(&b).Encode(chatReq); err != nil {
if err := json.NewEncoder(&b).Encode(fromChatRequest(req)); err != nil {
c.AbortWithStatusJSON(http.StatusInternalServerError, NewError(http.StatusInternalServerError, err.Error()))
return
}

View File

@@ -2,7 +2,6 @@ package openai
import (
"bytes"
"encoding/base64"
"encoding/json"
"io"
"net/http"
@@ -16,10 +15,6 @@ import (
"github.com/stretchr/testify/assert"
)
const prefix = `data:image/jpeg;base64,`
const image = `iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+A8AAQUBAScY42YAAAAASUVORK5CYII=`
const imageURL = prefix + image
func TestMiddlewareRequests(t *testing.T) {
type testCase struct {
Name string
@@ -85,7 +80,6 @@ func TestMiddlewareRequests(t *testing.T) {
Prompt: "Hello",
Temperature: &temp,
Stop: []string{"\n", "stop"},
Suffix: "suffix",
}
bodyBytes, _ := json.Marshal(body)
@@ -116,126 +110,6 @@ func TestMiddlewareRequests(t *testing.T) {
if stopTokens[0] != "\n" || stopTokens[1] != "stop" {
t.Fatalf("expected ['\\n', 'stop'], got %v", stopTokens)
}
if genReq.Suffix != "suffix" {
t.Fatalf("expected 'suffix', got %s", genReq.Suffix)
}
},
},
{
Name: "chat handler with image content",
Method: http.MethodPost,
Path: "/api/chat",
Handler: ChatMiddleware,
Setup: func(t *testing.T, req *http.Request) {
body := ChatCompletionRequest{
Model: "test-model",
Messages: []Message{
{
Role: "user", Content: []map[string]any{
{"type": "text", "text": "Hello"},
{"type": "image_url", "image_url": map[string]string{"url": imageURL}},
},
},
},
}
bodyBytes, _ := json.Marshal(body)
req.Body = io.NopCloser(bytes.NewReader(bodyBytes))
req.Header.Set("Content-Type", "application/json")
},
Expected: func(t *testing.T, req *http.Request) {
var chatReq api.ChatRequest
if err := json.NewDecoder(req.Body).Decode(&chatReq); err != nil {
t.Fatal(err)
}
if chatReq.Messages[0].Role != "user" {
t.Fatalf("expected 'user', got %s", chatReq.Messages[0].Role)
}
if chatReq.Messages[0].Content != "Hello" {
t.Fatalf("expected 'Hello', got %s", chatReq.Messages[0].Content)
}
img, _ := base64.StdEncoding.DecodeString(imageURL[len(prefix):])
if !bytes.Equal(chatReq.Messages[0].Images[0], img) {
t.Fatalf("expected image encoding, got %s", chatReq.Messages[0].Images[0])
}
},
},
{
Name: "embed handler single input",
Method: http.MethodPost,
Path: "/api/embed",
Handler: EmbeddingsMiddleware,
Setup: func(t *testing.T, req *http.Request) {
body := EmbedRequest{
Input: "Hello",
Model: "test-model",
}
bodyBytes, _ := json.Marshal(body)
req.Body = io.NopCloser(bytes.NewReader(bodyBytes))
req.Header.Set("Content-Type", "application/json")
},
Expected: func(t *testing.T, req *http.Request) {
var embedReq api.EmbedRequest
if err := json.NewDecoder(req.Body).Decode(&embedReq); err != nil {
t.Fatal(err)
}
if embedReq.Input != "Hello" {
t.Fatalf("expected 'Hello', got %s", embedReq.Input)
}
if embedReq.Model != "test-model" {
t.Fatalf("expected 'test-model', got %s", embedReq.Model)
}
},
},
{
Name: "embed handler batch input",
Method: http.MethodPost,
Path: "/api/embed",
Handler: EmbeddingsMiddleware,
Setup: func(t *testing.T, req *http.Request) {
body := EmbedRequest{
Input: []string{"Hello", "World"},
Model: "test-model",
}
bodyBytes, _ := json.Marshal(body)
req.Body = io.NopCloser(bytes.NewReader(bodyBytes))
req.Header.Set("Content-Type", "application/json")
},
Expected: func(t *testing.T, req *http.Request) {
var embedReq api.EmbedRequest
if err := json.NewDecoder(req.Body).Decode(&embedReq); err != nil {
t.Fatal(err)
}
input, ok := embedReq.Input.([]any)
if !ok {
t.Fatalf("expected input to be a list")
}
if input[0].(string) != "Hello" {
t.Fatalf("expected 'Hello', got %s", input[0])
}
if input[1].(string) != "World" {
t.Fatalf("expected 'World', got %s", input[1])
}
if embedReq.Model != "test-model" {
t.Fatalf("expected 'test-model', got %s", embedReq.Model)
}
},
},
}

View File

@@ -34,20 +34,11 @@ import (
"github.com/ollama/ollama/version"
)
var (
errCapabilities = errors.New("does not support")
errCapabilityCompletion = errors.New("completion")
errCapabilityTools = errors.New("tools")
errCapabilityInsert = errors.New("insert")
)
var errCapabilityCompletion = errors.New("completion")
type Capability string
const (
CapabilityCompletion = Capability("completion")
CapabilityTools = Capability("tools")
CapabilityInsert = Capability("insert")
)
const CapabilityCompletion = Capability("completion")
type registryOptions struct {
Insecure bool
@@ -97,15 +88,6 @@ func (m *Model) CheckCapabilities(caps ...Capability) error {
if _, ok := ggml.KV()[fmt.Sprintf("%s.pooling_type", ggml.KV().Architecture())]; ok {
errs = append(errs, errCapabilityCompletion)
}
case CapabilityTools:
if !slices.Contains(m.Template.Vars(), "tools") {
errs = append(errs, errCapabilityTools)
}
case CapabilityInsert:
vars := m.Template.Vars()
if !slices.Contains(vars, "suffix") {
errs = append(errs, errCapabilityInsert)
}
default:
slog.Error("unknown capability", "capability", cap)
return fmt.Errorf("unknown capability: %s", cap)
@@ -113,7 +95,7 @@ func (m *Model) CheckCapabilities(caps ...Capability) error {
}
if err := errors.Join(errs...); err != nil {
return fmt.Errorf("%w %w", errCapabilities, errors.Join(errs...))
return fmt.Errorf("missing capabilities: %w", errors.Join(errs...))
}
return nil

View File

@@ -4,7 +4,6 @@ import (
"archive/zip"
"bytes"
"context"
"encoding/json"
"errors"
"fmt"
"io"
@@ -12,9 +11,6 @@ import (
"net/http"
"os"
"path/filepath"
"slices"
"strings"
"text/template/parse"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/convert"
@@ -293,92 +289,3 @@ func detectContentType(r io.Reader) (string, error) {
return "unknown", nil
}
// parseToolCalls attempts to parse a JSON string into a slice of ToolCalls.
// mxyng: this only really works if the input contains tool calls in some JSON format
func (m *Model) parseToolCalls(s string) ([]api.ToolCall, bool) {
// create a subtree from the node that ranges over .ToolCalls
tmpl := m.Template.Subtree(func(n parse.Node) bool {
if t, ok := n.(*parse.RangeNode); ok {
return slices.Contains(template.Identifiers(t.Pipe), "ToolCalls")
}
return false
})
if tmpl == nil {
return nil, false
}
var b bytes.Buffer
if err := tmpl.Execute(&b, map[string][]api.ToolCall{
"ToolCalls": {
{
Function: api.ToolCallFunction{
Name: "@@name@@",
Arguments: api.ToolCallFunctionArguments{
"@@argument@@": 1,
},
},
},
},
}); err != nil {
return nil, false
}
var kv map[string]any
// execute the subtree with placeholders to identify the keys
// trim any commands that might exist in the template
if err := json.Unmarshal(bytes.TrimSuffix(b.Bytes(), []byte(",")), &kv); err != nil {
return nil, false
}
// find the keys that correspond to the name and arguments fields
var name, arguments string
for k, v := range kv {
switch v.(type) {
case string:
name = k
case map[string]any:
arguments = k
}
}
var objs []map[string]any
for offset := 0; offset < len(s); {
var obj map[string]any
decoder := json.NewDecoder(strings.NewReader(s[offset:]))
if err := decoder.Decode(&obj); errors.Is(err, io.EOF) || errors.Is(err, io.ErrUnexpectedEOF) {
break
} else if syntax := &(json.SyntaxError{}); errors.As(err, &syntax) {
// skip over any syntax errors
offset += int(syntax.Offset)
} else if unmarshalType := &(json.UnmarshalTypeError{}); errors.As(err, &unmarshalType) {
// skip over any unmarshalable types
offset += int(unmarshalType.Offset)
} else if err != nil {
slog.Error("parseToolCalls", "error", err)
return nil, false
} else {
offset += int(decoder.InputOffset())
objs = append(objs, obj)
}
}
var toolCalls []api.ToolCall
for _, kv := range objs {
var call api.ToolCall
for k, v := range kv {
switch k {
case name:
call.Function.Name = v.(string)
case arguments:
call.Function.Arguments = v.(map[string]any)
}
}
toolCalls = append(toolCalls, call)
}
return toolCalls, len(toolCalls) > 0
}

View File

@@ -3,9 +3,7 @@ package server
import (
"archive/zip"
"bytes"
"encoding/json"
"errors"
"fmt"
"io"
"os"
"path/filepath"
@@ -13,9 +11,7 @@ import (
"strings"
"testing"
"github.com/google/go-cmp/cmp"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/template"
)
func createZipFile(t *testing.T, name string) *os.File {
@@ -114,122 +110,3 @@ func TestExtractFromZipFile(t *testing.T) {
})
}
}
func readFile(t *testing.T, base, name string) *bytes.Buffer {
t.Helper()
bts, err := os.ReadFile(filepath.Join(base, name))
if err != nil {
t.Fatal(err)
}
return bytes.NewBuffer(bts)
}
func TestExecuteWithTools(t *testing.T) {
p := filepath.Join("testdata", "tools")
cases := []struct {
model string
output string
ok bool
}{
{"mistral", `[TOOL_CALLS] [{"name": "get_current_weather", "arguments": {"format":"fahrenheit","location":"San Francisco, CA"}},{"name": "get_current_weather", "arguments": {"format":"celsius","location":"Toronto, Canada"}}]`, 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"}}]
The temperature in San Francisco, CA is 70°F and in Toronto, Canada is 20°C.`, true},
{"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},
{"mistral", " The weather in San Francisco, CA is 70°F and in Toronto, Canada is 20°C.", false},
{"command-r-plus", "Action: ```json" + `
[
{
"tool_name": "get_current_weather",
"parameters": {
"format": "fahrenheit",
"location": "San Francisco, CA"
}
},
{
"tool_name": "get_current_weather",
"parameters": {
"format": "celsius",
"location": "Toronto, Canada"
}
}
]
` + "```", true},
{"command-r-plus", " The weather in San Francisco, CA is 70°F and in Toronto, Canada is 20°C.", false},
{"firefunction", ` functools[{"name": "get_current_weather", "arguments": {"format":"fahrenheit","location":"San Francisco, CA"}},{"name": "get_current_weather", "arguments": {"format":"celsius","location":"Toronto, Canada"}}]`, true},
{"firefunction", " The weather in San Francisco, CA is 70°F and in Toronto, Canada is 20°C.", false},
{"llama3-groq-tool-use", `<tool_call>
{"name": "get_current_weather", "arguments": {"format":"fahrenheit","location":"San Francisco, CA"}}
{"name": "get_current_weather", "arguments": {"format":"celsius","location":"Toronto, Canada"}}
</tool_call>`, true},
}
var tools []api.Tool
if err := json.Unmarshal(readFile(t, p, "tools.json").Bytes(), &tools); err != nil {
t.Fatal(err)
}
var messages []api.Message
if err := json.Unmarshal(readFile(t, p, "messages.json").Bytes(), &messages); err != nil {
t.Fatal(err)
}
calls := []api.ToolCall{
{
Function: api.ToolCallFunction{
Name: "get_current_weather",
Arguments: api.ToolCallFunctionArguments{
"format": "fahrenheit",
"location": "San Francisco, CA",
},
},
},
{
Function: api.ToolCallFunction{
Name: "get_current_weather",
Arguments: api.ToolCallFunctionArguments{
"format": "celsius",
"location": "Toronto, Canada",
},
},
},
}
for _, tt := range cases {
t.Run(tt.model, func(t *testing.T) {
tmpl, err := template.Parse(readFile(t, p, fmt.Sprintf("%s.gotmpl", tt.model)).String())
if err != nil {
t.Fatal(err)
}
t.Run("template", func(t *testing.T) {
var actual bytes.Buffer
if err := tmpl.Execute(&actual, template.Values{Tools: tools, Messages: messages}); err != nil {
t.Fatal(err)
}
if diff := cmp.Diff(actual.String(), readFile(t, p, fmt.Sprintf("%s.out", tt.model)).String()); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
})
t.Run("parse", func(t *testing.T) {
m := &Model{Template: tmpl}
actual, ok := m.parseToolCalls(tt.output)
if ok != tt.ok {
t.Fatalf("expected %t, got %t", tt.ok, ok)
}
if tt.ok {
if diff := cmp.Diff(actual, calls); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
}
})
})
}
}

View File

@@ -15,7 +15,7 @@ type tokenizeFunc func(context.Context, string) ([]int, error)
// chatPrompt accepts a list of messages and returns the prompt and images 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) (prompt string, images []llm.ImageData, _ error) {
func chatPrompt(ctx context.Context, m *Model, tokenize tokenizeFunc, opts *api.Options, msgs []api.Message) (prompt string, images []llm.ImageData, _ error) {
var system []api.Message
// always include the last message
n := len(msgs) - 1
@@ -29,7 +29,7 @@ func chatPrompt(ctx context.Context, m *Model, tokenize tokenizeFunc, opts *api.
}
var b bytes.Buffer
if err := m.Template.Execute(&b, template.Values{Messages: append(system, msgs[i:]...), Tools: tools}); err != nil {
if err := m.Template.Execute(&b, template.Values{Messages: append(system, msgs[i:]...)}); err != nil {
return "", nil, err
}
@@ -57,7 +57,7 @@ func chatPrompt(ctx context.Context, m *Model, tokenize tokenizeFunc, opts *api.
// truncate any messages that do not fit into the context window
var b bytes.Buffer
if err := m.Template.Execute(&b, template.Values{Messages: append(system, msgs[n:]...), Tools: tools}); err != nil {
if err := m.Template.Execute(&b, template.Values{Messages: append(system, msgs[n:]...)}); err != nil {
return "", nil, err
}

View File

@@ -3,6 +3,7 @@ package server
import (
"bytes"
"context"
"strings"
"testing"
"github.com/google/go-cmp/cmp"
@@ -10,6 +11,14 @@ import (
"github.com/ollama/ollama/template"
)
func tokenize(_ context.Context, s string) (tokens []int, err error) {
for range strings.Fields(s) {
tokens = append(tokens, len(tokens))
}
return
}
func TestChatPrompt(t *testing.T) {
type expect struct {
prompt string
@@ -183,11 +192,15 @@ func TestChatPrompt(t *testing.T) {
t.Run(tt.name, func(t *testing.T) {
model := Model{Template: tmpl, ProjectorPaths: []string{"vision"}}
opts := api.Options{Runner: api.Runner{NumCtx: tt.limit}}
prompt, images, err := chatPrompt(context.TODO(), &model, mockRunner{}.Tokenize, &opts, tt.msgs, nil)
prompt, images, err := chatPrompt(context.TODO(), &model, tokenize, &opts, tt.msgs)
if err != nil {
t.Fatal(err)
}
if tt.prompt != prompt {
t.Errorf("expected %q, got %q", tt.prompt, prompt)
}
if diff := cmp.Diff(prompt, tt.prompt); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}

View File

@@ -9,7 +9,6 @@ import (
"fmt"
"io"
"log/slog"
"math"
"net"
"net/http"
"net/netip"
@@ -122,10 +121,6 @@ func (s *Server) GenerateHandler(c *gin.Context) {
}
caps := []Capability{CapabilityCompletion}
if req.Suffix != "" {
caps = append(caps, CapabilityInsert)
}
r, m, opts, err := s.scheduleRunner(c.Request.Context(), req.Model, caps, req.Options, req.KeepAlive)
if errors.Is(err, errCapabilityCompletion) {
c.JSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("%q does not support generate", req.Model)})
@@ -154,6 +149,19 @@ func (s *Server) GenerateHandler(c *gin.Context) {
prompt := req.Prompt
if !req.Raw {
var msgs []api.Message
if req.System != "" {
msgs = append(msgs, api.Message{Role: "system", Content: req.System})
} else if m.System != "" {
msgs = append(msgs, api.Message{Role: "system", Content: m.System})
}
for _, i := range images {
msgs = append(msgs, api.Message{Role: "user", Content: fmt.Sprintf("[img-%d]", i.ID)})
}
msgs = append(msgs, api.Message{Role: "user", Content: req.Prompt})
tmpl := m.Template
if req.Template != "" {
tmpl, err = template.Parse(req.Template)
@@ -174,26 +182,7 @@ func (s *Server) GenerateHandler(c *gin.Context) {
b.WriteString(s)
}
var values template.Values
if req.Suffix != "" {
values.Prompt = prompt
values.Suffix = req.Suffix
} else {
var msgs []api.Message
if req.System != "" {
msgs = append(msgs, api.Message{Role: "system", Content: req.System})
} else if m.System != "" {
msgs = append(msgs, api.Message{Role: "system", Content: m.System})
}
for _, i := range images {
msgs = append(msgs, api.Message{Role: "user", Content: fmt.Sprintf("[img-%d]", i.ID)})
}
values.Messages = append(msgs, api.Message{Role: "user", Content: req.Prompt})
}
if err := tmpl.Execute(&b, values); err != nil {
if err := tmpl.Execute(&b, template.Values{Messages: msgs}); err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
@@ -282,121 +271,6 @@ func (s *Server) GenerateHandler(c *gin.Context) {
streamResponse(c, ch)
}
func (s *Server) EmbedHandler(c *gin.Context) {
var req api.EmbedRequest
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()})
return
}
truncate := true
if req.Truncate != nil && !*req.Truncate {
truncate = false
}
var input []string
switch i := req.Input.(type) {
case string:
if len(i) > 0 {
input = append(input, i)
}
case []any:
for _, v := range i {
if _, ok := v.(string); !ok {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "invalid input type"})
return
}
input = append(input, v.(string))
}
default:
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "invalid input type"})
return
}
if len(input) == 0 {
c.JSON(http.StatusOK, api.EmbedResponse{Model: req.Model, Embeddings: [][]float32{}})
return
}
r, m, opts, err := s.scheduleRunner(c.Request.Context(), req.Model, []Capability{}, req.Options, req.KeepAlive)
if err != nil {
handleScheduleError(c, req.Model, err)
return
}
kvData, err := getKVData(m.ModelPath, false)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
for i, s := range input {
tokens, err := r.Tokenize(c.Request.Context(), s)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
ctxLen := min(opts.NumCtx, int(kvData.ContextLength()))
if len(tokens) > ctxLen {
if !truncate {
c.JSON(http.StatusBadRequest, gin.H{"error": "input length exceeds maximum context length"})
return
}
tokens = tokens[:ctxLen]
s, err = r.Detokenize(c.Request.Context(), tokens)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
}
input[i] = s
}
embeddings, err := r.Embed(c.Request.Context(), input)
if err != nil {
slog.Error("embedding generation failed", "error", err)
c.JSON(http.StatusInternalServerError, gin.H{"error": "failed to generate embedding"})
return
}
for i, e := range embeddings {
embeddings[i] = normalize(e)
}
resp := api.EmbedResponse{
Model: req.Model,
Embeddings: embeddings,
}
c.JSON(http.StatusOK, resp)
}
func normalize(vec []float32) []float32 {
var sum float32
for _, v := range vec {
sum += v * v
}
norm := float32(0.0)
if sum > 0 {
norm = float32(1.0 / math.Sqrt(float64(sum)))
}
for i := range vec {
vec[i] *= norm
}
return vec
}
func (s *Server) EmbeddingsHandler(c *gin.Context) {
var req api.EmbeddingRequest
if err := c.ShouldBindJSON(&req); errors.Is(err, io.EOF) {
@@ -419,24 +293,14 @@ func (s *Server) EmbeddingsHandler(c *gin.Context) {
return
}
embeddings, err := r.Embed(c.Request.Context(), []string{req.Prompt})
embedding, err := r.Embedding(c.Request.Context(), req.Prompt)
if err != nil {
slog.Info(fmt.Sprintf("embedding generation failed: %v", err))
c.JSON(http.StatusInternalServerError, gin.H{"error": "failed to generate embedding"})
return
}
embedding := make([]float64, len(embeddings[0]))
for i, v := range embeddings[0] {
embedding[i] = float64(v)
}
resp := api.EmbeddingResponse{
Embedding: embedding,
}
c.JSON(http.StatusOK, resp)
c.JSON(http.StatusOK, api.EmbeddingResponse{Embedding: embedding})
}
func (s *Server) PullModelHandler(c *gin.Context) {
@@ -710,6 +574,13 @@ func GetModelInfo(req api.ShowRequest) (*api.ShowResponse, error) {
m.System = req.System
}
if req.Template != "" {
m.Template, err = template.Parse(req.Template)
if err != nil {
return nil, err
}
}
msgs := make([]api.Message, len(m.Messages))
for i, msg := range m.Messages {
msgs[i] = api.Message{Role: msg.Role, Content: msg.Content}
@@ -1055,7 +926,6 @@ func (s *Server) GenerateRoutes() http.Handler {
r.POST("/api/pull", s.PullModelHandler)
r.POST("/api/generate", s.GenerateHandler)
r.POST("/api/chat", s.ChatHandler)
r.POST("/api/embed", s.EmbedHandler)
r.POST("/api/embeddings", s.EmbeddingsHandler)
r.POST("/api/create", s.CreateModelHandler)
r.POST("/api/push", s.PushModelHandler)
@@ -1069,7 +939,6 @@ func (s *Server) GenerateRoutes() http.Handler {
// Compatibility endpoints
r.POST("/v1/chat/completions", openai.ChatMiddleware(), s.ChatHandler)
r.POST("/v1/completions", openai.CompletionsMiddleware(), s.GenerateHandler)
r.POST("/v1/embeddings", openai.EmbeddingsMiddleware(), s.EmbedHandler)
r.GET("/v1/models", openai.ListMiddleware(), s.ListModelsHandler)
r.GET("/v1/models/:model", openai.RetrieveMiddleware(), s.ShowModelHandler)
@@ -1290,10 +1159,6 @@ func (s *Server) ChatHandler(c *gin.Context) {
}
caps := []Capability{CapabilityCompletion}
if len(req.Tools) > 0 {
caps = append(caps, CapabilityTools)
}
r, m, opts, err := s.scheduleRunner(c.Request.Context(), req.Model, caps, req.Options, req.KeepAlive)
if errors.Is(err, errCapabilityCompletion) {
c.JSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("%q does not support chat", req.Model)})
@@ -1316,11 +1181,11 @@ func (s *Server) ChatHandler(c *gin.Context) {
return
}
if req.Messages[0].Role != "system" && m.System != "" {
if req.Messages[0].Role != "system" {
req.Messages = append([]api.Message{{Role: "system", Content: m.System}}, req.Messages...)
}
prompt, images, err := chatPrompt(c.Request.Context(), m, r.Tokenize, opts, req.Messages, req.Tools)
prompt, images, err := chatPrompt(c.Request.Context(), m, r.Tokenize, opts, req.Messages)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
@@ -1363,13 +1228,13 @@ func (s *Server) ChatHandler(c *gin.Context) {
}()
if req.Stream != nil && !*req.Stream {
var resp api.ChatResponse
var r api.ChatResponse
var sb strings.Builder
for rr := range ch {
switch t := rr.(type) {
case api.ChatResponse:
sb.WriteString(t.Message.Content)
resp = t
r = t
case gin.H:
msg, ok := t["error"].(string)
if !ok {
@@ -1384,16 +1249,8 @@ func (s *Server) ChatHandler(c *gin.Context) {
}
}
resp.Message.Content = sb.String()
if len(req.Tools) > 0 {
if toolCalls, ok := m.parseToolCalls(sb.String()); ok {
resp.Message.ToolCalls = toolCalls
resp.Message.Content = ""
}
}
c.JSON(http.StatusOK, resp)
r.Message.Content = sb.String()
c.JSON(http.StatusOK, r)
return
}
@@ -1402,7 +1259,7 @@ func (s *Server) ChatHandler(c *gin.Context) {
func handleScheduleError(c *gin.Context, name string, err error) {
switch {
case errors.Is(err, errCapabilities), errors.Is(err, errRequired):
case errors.Is(err, errRequired):
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
case errors.Is(err, context.Canceled):
c.JSON(499, gin.H{"error": "request canceled"})

View File

@@ -85,8 +85,6 @@ func checkFileExists(t *testing.T, p string, expect []string) {
}
func TestCreateFromBin(t *testing.T) {
gin.SetMode(gin.TestMode)
p := t.TempDir()
t.Setenv("OLLAMA_MODELS", p)
envconfig.LoadConfig()
@@ -113,8 +111,6 @@ func TestCreateFromBin(t *testing.T) {
}
func TestCreateFromModel(t *testing.T) {
gin.SetMode(gin.TestMode)
p := t.TempDir()
t.Setenv("OLLAMA_MODELS", p)
envconfig.LoadConfig()
@@ -156,8 +152,6 @@ func TestCreateFromModel(t *testing.T) {
}
func TestCreateRemovesLayers(t *testing.T) {
gin.SetMode(gin.TestMode)
p := t.TempDir()
t.Setenv("OLLAMA_MODELS", p)
envconfig.LoadConfig()
@@ -205,8 +199,6 @@ func TestCreateRemovesLayers(t *testing.T) {
}
func TestCreateUnsetsSystem(t *testing.T) {
gin.SetMode(gin.TestMode)
p := t.TempDir()
t.Setenv("OLLAMA_MODELS", p)
envconfig.LoadConfig()
@@ -263,8 +255,6 @@ func TestCreateUnsetsSystem(t *testing.T) {
}
func TestCreateMergeParameters(t *testing.T) {
gin.SetMode(gin.TestMode)
p := t.TempDir()
t.Setenv("OLLAMA_MODELS", p)
envconfig.LoadConfig()
@@ -368,8 +358,6 @@ func TestCreateMergeParameters(t *testing.T) {
}
func TestCreateReplacesMessages(t *testing.T) {
gin.SetMode(gin.TestMode)
p := t.TempDir()
t.Setenv("OLLAMA_MODELS", p)
envconfig.LoadConfig()
@@ -446,8 +434,6 @@ func TestCreateReplacesMessages(t *testing.T) {
}
func TestCreateTemplateSystem(t *testing.T) {
gin.SetMode(gin.TestMode)
p := t.TempDir()
t.Setenv("OLLAMA_MODELS", p)
envconfig.LoadConfig()
@@ -494,8 +480,6 @@ func TestCreateTemplateSystem(t *testing.T) {
}
func TestCreateLicenses(t *testing.T) {
gin.SetMode(gin.TestMode)
p := t.TempDir()
t.Setenv("OLLAMA_MODELS", p)
envconfig.LoadConfig()
@@ -542,8 +526,6 @@ func TestCreateLicenses(t *testing.T) {
}
func TestCreateDetectTemplate(t *testing.T) {
gin.SetMode(gin.TestMode)
p := t.TempDir()
t.Setenv("OLLAMA_MODELS", p)
envconfig.LoadConfig()

View File

@@ -8,15 +8,12 @@ import (
"path/filepath"
"testing"
"github.com/gin-gonic/gin"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/envconfig"
"github.com/ollama/ollama/types/model"
)
func TestDelete(t *testing.T) {
gin.SetMode(gin.TestMode)
p := t.TempDir()
t.Setenv("OLLAMA_MODELS", p)
envconfig.LoadConfig()
@@ -80,8 +77,6 @@ func TestDelete(t *testing.T) {
}
func TestDeleteDuplicateLayers(t *testing.T) {
gin.SetMode(gin.TestMode)
p := t.TempDir()
t.Setenv("OLLAMA_MODELS", p)
var s Server

View File

@@ -1,712 +0,0 @@
package server
import (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
"testing"
"time"
"github.com/gin-gonic/gin"
"github.com/google/go-cmp/cmp"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/gpu"
"github.com/ollama/ollama/llm"
)
type mockRunner struct {
llm.LlamaServer
// CompletionRequest is only valid until the next call to Completion
llm.CompletionRequest
llm.CompletionResponse
}
func (m *mockRunner) Completion(_ context.Context, r llm.CompletionRequest, fn func(r llm.CompletionResponse)) error {
m.CompletionRequest = r
fn(m.CompletionResponse)
return nil
}
func (mockRunner) Tokenize(_ context.Context, s string) (tokens []int, err error) {
for range strings.Fields(s) {
tokens = append(tokens, len(tokens))
}
return
}
func newMockServer(mock *mockRunner) func(gpu.GpuInfoList, string, *llm.GGML, []string, []string, api.Options, int) (llm.LlamaServer, error) {
return func(gpus gpu.GpuInfoList, model string, ggml *llm.GGML, projectors, system []string, opts api.Options, numParallel int) (llm.LlamaServer, error) {
return mock, nil
}
}
func TestGenerateChat(t *testing.T) {
gin.SetMode(gin.TestMode)
mock := mockRunner{
CompletionResponse: llm.CompletionResponse{
Done: true,
DoneReason: "stop",
PromptEvalCount: 1,
PromptEvalDuration: 1,
EvalCount: 1,
EvalDuration: 1,
},
}
s := Server{
sched: &Scheduler{
pendingReqCh: make(chan *LlmRequest, 1),
finishedReqCh: make(chan *LlmRequest, 1),
expiredCh: make(chan *runnerRef, 1),
unloadedCh: make(chan any, 1),
loaded: make(map[string]*runnerRef),
newServerFn: newMockServer(&mock),
getGpuFn: gpu.GetGPUInfo,
getCpuFn: gpu.GetCPUInfo,
reschedDelay: 250 * time.Millisecond,
loadFn: func(req *LlmRequest, ggml *llm.GGML, gpus gpu.GpuInfoList, numParallel int) {
// add 10ms delay to simulate loading
time.Sleep(10 * time.Millisecond)
req.successCh <- &runnerRef{
llama: &mock,
}
},
},
}
go s.sched.Run(context.TODO())
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
Model: "test",
Modelfile: fmt.Sprintf(`FROM %s
TEMPLATE """
{{- if .System }}System: {{ .System }} {{ end }}
{{- if .Prompt }}User: {{ .Prompt }} {{ end }}
{{- if .Response }}Assistant: {{ .Response }} {{ end }}"""
`, createBinFile(t, llm.KV{
"general.architecture": "llama",
"llama.block_count": uint32(1),
"llama.context_length": uint32(8192),
"llama.embedding_length": uint32(4096),
"llama.attention.head_count": uint32(32),
"llama.attention.head_count_kv": uint32(8),
"tokenizer.ggml.tokens": []string{""},
"tokenizer.ggml.scores": []float32{0},
"tokenizer.ggml.token_type": []int32{0},
}, []llm.Tensor{
{Name: "token_embd.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.attn_norm.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.ffn_down.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.ffn_gate.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.ffn_up.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.ffn_norm.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.attn_k.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.attn_output.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.attn_q.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.attn_v.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "output.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
})),
Stream: &stream,
})
if w.Code != http.StatusOK {
t.Fatalf("expected status 200, got %d", w.Code)
}
t.Run("missing body", func(t *testing.T) {
w := createRequest(t, s.ChatHandler, nil)
if w.Code != http.StatusBadRequest {
t.Errorf("expected status 400, got %d", w.Code)
}
if diff := cmp.Diff(w.Body.String(), `{"error":"model is required"}`); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
})
t.Run("missing model", func(t *testing.T) {
w := createRequest(t, s.ChatHandler, api.ChatRequest{})
if w.Code != http.StatusBadRequest {
t.Errorf("expected status 400, got %d", w.Code)
}
if diff := cmp.Diff(w.Body.String(), `{"error":"model is required"}`); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
})
t.Run("missing capabilities chat", func(t *testing.T) {
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
Model: "bert",
Modelfile: fmt.Sprintf("FROM %s", createBinFile(t, llm.KV{
"general.architecture": "bert",
"bert.pooling_type": uint32(0),
}, []llm.Tensor{})),
Stream: &stream,
})
if w.Code != http.StatusOK {
t.Fatalf("expected status 200, got %d", w.Code)
}
w = createRequest(t, s.ChatHandler, api.ChatRequest{
Model: "bert",
})
if w.Code != http.StatusBadRequest {
t.Errorf("expected status 400, got %d", w.Code)
}
if diff := cmp.Diff(w.Body.String(), `{"error":"\"bert\" does not support chat"}`); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
})
t.Run("load model", func(t *testing.T) {
w := createRequest(t, s.ChatHandler, api.ChatRequest{
Model: "test",
})
if w.Code != http.StatusOK {
t.Errorf("expected status 200, got %d", w.Code)
}
var actual api.ChatResponse
if err := json.NewDecoder(w.Body).Decode(&actual); err != nil {
t.Fatal(err)
}
if actual.Model != "test" {
t.Errorf("expected model test, got %s", actual.Model)
}
if !actual.Done {
t.Errorf("expected done true, got false")
}
if actual.DoneReason != "load" {
t.Errorf("expected done reason load, got %s", actual.DoneReason)
}
})
checkChatResponse := func(t *testing.T, body io.Reader, model, content string) {
t.Helper()
var actual api.ChatResponse
if err := json.NewDecoder(body).Decode(&actual); err != nil {
t.Fatal(err)
}
if actual.Model != model {
t.Errorf("expected model test, got %s", actual.Model)
}
if !actual.Done {
t.Errorf("expected done false, got true")
}
if actual.DoneReason != "stop" {
t.Errorf("expected done reason stop, got %s", actual.DoneReason)
}
if diff := cmp.Diff(actual.Message, api.Message{
Role: "assistant",
Content: content,
}); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
if actual.PromptEvalCount == 0 {
t.Errorf("expected prompt eval count > 0, got 0")
}
if actual.PromptEvalDuration == 0 {
t.Errorf("expected prompt eval duration > 0, got 0")
}
if actual.EvalCount == 0 {
t.Errorf("expected eval count > 0, got 0")
}
if actual.EvalDuration == 0 {
t.Errorf("expected eval duration > 0, got 0")
}
if actual.LoadDuration == 0 {
t.Errorf("expected load duration > 0, got 0")
}
if actual.TotalDuration == 0 {
t.Errorf("expected total duration > 0, got 0")
}
}
mock.CompletionResponse.Content = "Hi!"
t.Run("messages", func(t *testing.T) {
w := createRequest(t, s.ChatHandler, api.ChatRequest{
Model: "test",
Messages: []api.Message{
{Role: "user", Content: "Hello!"},
},
Stream: &stream,
})
if w.Code != http.StatusOK {
t.Errorf("expected status 200, got %d", w.Code)
}
if diff := cmp.Diff(mock.CompletionRequest.Prompt, "User: Hello! "); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
checkChatResponse(t, w.Body, "test", "Hi!")
})
w = createRequest(t, s.CreateModelHandler, api.CreateRequest{
Model: "test-system",
Modelfile: "FROM test\nSYSTEM You are a helpful assistant.",
})
if w.Code != http.StatusOK {
t.Fatalf("expected status 200, got %d", w.Code)
}
t.Run("messages with model system", func(t *testing.T) {
w := createRequest(t, s.ChatHandler, api.ChatRequest{
Model: "test-system",
Messages: []api.Message{
{Role: "user", Content: "Hello!"},
},
Stream: &stream,
})
if w.Code != http.StatusOK {
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 != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
checkChatResponse(t, w.Body, "test-system", "Hi!")
})
mock.CompletionResponse.Content = "Abra kadabra!"
t.Run("messages with system", func(t *testing.T) {
w := createRequest(t, s.ChatHandler, api.ChatRequest{
Model: "test-system",
Messages: []api.Message{
{Role: "system", Content: "You can perform magic tricks."},
{Role: "user", Content: "Hello!"},
},
Stream: &stream,
})
if w.Code != http.StatusOK {
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 != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
checkChatResponse(t, w.Body, "test-system", "Abra kadabra!")
})
t.Run("messages with interleaved system", func(t *testing.T) {
w := createRequest(t, s.ChatHandler, api.ChatRequest{
Model: "test-system",
Messages: []api.Message{
{Role: "user", Content: "Hello!"},
{Role: "assistant", Content: "I can help you with that."},
{Role: "system", Content: "You can perform magic tricks."},
{Role: "user", Content: "Help me write tests."},
},
Stream: &stream,
})
if w.Code != http.StatusOK {
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 != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
checkChatResponse(t, w.Body, "test-system", "Abra kadabra!")
})
}
func TestGenerate(t *testing.T) {
gin.SetMode(gin.TestMode)
mock := mockRunner{
CompletionResponse: llm.CompletionResponse{
Done: true,
DoneReason: "stop",
PromptEvalCount: 1,
PromptEvalDuration: 1,
EvalCount: 1,
EvalDuration: 1,
},
}
s := Server{
sched: &Scheduler{
pendingReqCh: make(chan *LlmRequest, 1),
finishedReqCh: make(chan *LlmRequest, 1),
expiredCh: make(chan *runnerRef, 1),
unloadedCh: make(chan any, 1),
loaded: make(map[string]*runnerRef),
newServerFn: newMockServer(&mock),
getGpuFn: gpu.GetGPUInfo,
getCpuFn: gpu.GetCPUInfo,
reschedDelay: 250 * time.Millisecond,
loadFn: func(req *LlmRequest, ggml *llm.GGML, gpus gpu.GpuInfoList, numParallel int) {
req.successCh <- &runnerRef{
llama: &mock,
}
},
},
}
go s.sched.Run(context.TODO())
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
Model: "test",
Modelfile: fmt.Sprintf(`FROM %s
TEMPLATE """
{{- if .System }}System: {{ .System }} {{ end }}
{{- if .Prompt }}User: {{ .Prompt }} {{ end }}
{{- if .Response }}Assistant: {{ .Response }} {{ end }}"""
`, createBinFile(t, llm.KV{
"general.architecture": "llama",
"llama.block_count": uint32(1),
"llama.context_length": uint32(8192),
"llama.embedding_length": uint32(4096),
"llama.attention.head_count": uint32(32),
"llama.attention.head_count_kv": uint32(8),
"tokenizer.ggml.tokens": []string{""},
"tokenizer.ggml.scores": []float32{0},
"tokenizer.ggml.token_type": []int32{0},
}, []llm.Tensor{
{Name: "token_embd.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.attn_norm.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.ffn_down.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.ffn_gate.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.ffn_up.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.ffn_norm.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.attn_k.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.attn_output.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.attn_q.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "blk.0.attn_v.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
{Name: "output.weight", Shape: []uint64{1}, WriterTo: bytes.NewReader(make([]byte, 4))},
})),
Stream: &stream,
})
if w.Code != http.StatusOK {
t.Fatalf("expected status 200, got %d", w.Code)
}
t.Run("missing body", func(t *testing.T) {
w := createRequest(t, s.GenerateHandler, nil)
if w.Code != http.StatusBadRequest {
t.Errorf("expected status 400, got %d", w.Code)
}
if diff := cmp.Diff(w.Body.String(), `{"error":"model is required"}`); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
})
t.Run("missing model", func(t *testing.T) {
w := createRequest(t, s.GenerateHandler, api.GenerateRequest{})
if w.Code != http.StatusBadRequest {
t.Errorf("expected status 400, got %d", w.Code)
}
if diff := cmp.Diff(w.Body.String(), `{"error":"model is required"}`); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
})
t.Run("missing capabilities generate", func(t *testing.T) {
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
Model: "bert",
Modelfile: fmt.Sprintf("FROM %s", createBinFile(t, llm.KV{
"general.architecture": "bert",
"bert.pooling_type": uint32(0),
}, []llm.Tensor{})),
Stream: &stream,
})
if w.Code != http.StatusOK {
t.Fatalf("expected status 200, got %d", w.Code)
}
w = createRequest(t, s.GenerateHandler, api.GenerateRequest{
Model: "bert",
})
if w.Code != http.StatusBadRequest {
t.Errorf("expected status 400, got %d", w.Code)
}
if diff := cmp.Diff(w.Body.String(), `{"error":"\"bert\" does not support generate"}`); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
})
t.Run("missing capabilities suffix", func(t *testing.T) {
w := createRequest(t, s.GenerateHandler, api.GenerateRequest{
Model: "test",
Prompt: "def add(",
Suffix: " return c",
})
if w.Code != http.StatusBadRequest {
t.Errorf("expected status 400, got %d", w.Code)
}
if diff := cmp.Diff(w.Body.String(), `{"error":"test does not support insert"}`); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
})
t.Run("load model", func(t *testing.T) {
w := createRequest(t, s.GenerateHandler, api.GenerateRequest{
Model: "test",
})
if w.Code != http.StatusOK {
t.Errorf("expected status 200, got %d", w.Code)
}
var actual api.GenerateResponse
if err := json.NewDecoder(w.Body).Decode(&actual); err != nil {
t.Fatal(err)
}
if actual.Model != "test" {
t.Errorf("expected model test, got %s", actual.Model)
}
if !actual.Done {
t.Errorf("expected done true, got false")
}
if actual.DoneReason != "load" {
t.Errorf("expected done reason load, got %s", actual.DoneReason)
}
})
checkGenerateResponse := func(t *testing.T, body io.Reader, model, content string) {
t.Helper()
var actual api.GenerateResponse
if err := json.NewDecoder(body).Decode(&actual); err != nil {
t.Fatal(err)
}
if actual.Model != model {
t.Errorf("expected model test, got %s", actual.Model)
}
if !actual.Done {
t.Errorf("expected done false, got true")
}
if actual.DoneReason != "stop" {
t.Errorf("expected done reason stop, got %s", actual.DoneReason)
}
if actual.Response != content {
t.Errorf("expected response %s, got %s", content, actual.Response)
}
if actual.Context == nil {
t.Errorf("expected context not nil")
}
if actual.PromptEvalCount == 0 {
t.Errorf("expected prompt eval count > 0, got 0")
}
if actual.PromptEvalDuration == 0 {
t.Errorf("expected prompt eval duration > 0, got 0")
}
if actual.EvalCount == 0 {
t.Errorf("expected eval count > 0, got 0")
}
if actual.EvalDuration == 0 {
t.Errorf("expected eval duration > 0, got 0")
}
if actual.LoadDuration == 0 {
t.Errorf("expected load duration > 0, got 0")
}
if actual.TotalDuration == 0 {
t.Errorf("expected total duration > 0, got 0")
}
}
mock.CompletionResponse.Content = "Hi!"
t.Run("prompt", func(t *testing.T) {
w := createRequest(t, s.GenerateHandler, api.GenerateRequest{
Model: "test",
Prompt: "Hello!",
Stream: &stream,
})
if w.Code != http.StatusOK {
t.Errorf("expected status 200, got %d", w.Code)
}
if diff := cmp.Diff(mock.CompletionRequest.Prompt, "User: Hello! "); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
checkGenerateResponse(t, w.Body, "test", "Hi!")
})
w = createRequest(t, s.CreateModelHandler, api.CreateRequest{
Model: "test-system",
Modelfile: "FROM test\nSYSTEM You are a helpful assistant.",
})
if w.Code != http.StatusOK {
t.Fatalf("expected status 200, got %d", w.Code)
}
t.Run("prompt with model system", func(t *testing.T) {
w := createRequest(t, s.GenerateHandler, api.GenerateRequest{
Model: "test-system",
Prompt: "Hello!",
Stream: &stream,
})
if w.Code != http.StatusOK {
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 != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
checkGenerateResponse(t, w.Body, "test-system", "Hi!")
})
mock.CompletionResponse.Content = "Abra kadabra!"
t.Run("prompt with system", func(t *testing.T) {
w := createRequest(t, s.GenerateHandler, api.GenerateRequest{
Model: "test-system",
Prompt: "Hello!",
System: "You can perform magic tricks.",
Stream: &stream,
})
if w.Code != http.StatusOK {
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 != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
checkGenerateResponse(t, w.Body, "test-system", "Abra kadabra!")
})
t.Run("prompt with template", func(t *testing.T) {
w := createRequest(t, s.GenerateHandler, api.GenerateRequest{
Model: "test-system",
Prompt: "Help me write tests.",
System: "You can perform magic tricks.",
Template: `{{- if .System }}{{ .System }} {{ end }}
{{- if .Prompt }}### USER {{ .Prompt }} {{ end }}
{{- if .Response }}### ASSISTANT {{ .Response }} {{ end }}`,
Stream: &stream,
})
if w.Code != http.StatusOK {
t.Errorf("expected status 200, got %d", w.Code)
}
if diff := cmp.Diff(mock.CompletionRequest.Prompt, "You can perform magic tricks. ### USER Help me write tests. "); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
checkGenerateResponse(t, w.Body, "test-system", "Abra kadabra!")
})
w = createRequest(t, s.CreateModelHandler, api.CreateRequest{
Model: "test-suffix",
Modelfile: `FROM test
TEMPLATE """{{- if .Suffix }}<PRE> {{ .Prompt }} <SUF>{{ .Suffix }} <MID>
{{- else }}{{ .Prompt }}
{{- end }}"""`,
})
if w.Code != http.StatusOK {
t.Fatalf("expected status 200, got %d", w.Code)
}
t.Run("prompt with suffix", func(t *testing.T) {
w := createRequest(t, s.GenerateHandler, api.GenerateRequest{
Model: "test-suffix",
Prompt: "def add(",
Suffix: " return c",
})
if w.Code != http.StatusOK {
t.Errorf("expected status 200, got %d", w.Code)
}
if diff := cmp.Diff(mock.CompletionRequest.Prompt, "<PRE> def add( <SUF> return c <MID>"); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
})
t.Run("prompt without suffix", func(t *testing.T) {
w := createRequest(t, s.GenerateHandler, api.GenerateRequest{
Model: "test-suffix",
Prompt: "def add(",
})
if w.Code != http.StatusOK {
t.Errorf("expected status 200, got %d", w.Code)
}
if diff := cmp.Diff(mock.CompletionRequest.Prompt, "def add("); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
})
t.Run("raw", func(t *testing.T) {
w := createRequest(t, s.GenerateHandler, api.GenerateRequest{
Model: "test-system",
Prompt: "Help me write tests.",
Raw: true,
Stream: &stream,
})
if w.Code != http.StatusOK {
t.Errorf("expected status 200, got %d", w.Code)
}
if diff := cmp.Diff(mock.CompletionRequest.Prompt, "Help me write tests."); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
})
}

View File

@@ -7,14 +7,11 @@ import (
"slices"
"testing"
"github.com/gin-gonic/gin"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/envconfig"
)
func TestList(t *testing.T) {
gin.SetMode(gin.TestMode)
t.Setenv("OLLAMA_MODELS", t.TempDir())
envconfig.LoadConfig()

View File

@@ -7,7 +7,6 @@ import (
"encoding/json"
"fmt"
"io"
"math"
"net/http"
"net/http/httptest"
"os"
@@ -273,77 +272,6 @@ func Test_Routes(t *testing.T) {
assert.Equal(t, "library", retrieveResp.OwnedBy)
},
},
{
Name: "Embed Handler Empty Input",
Method: http.MethodPost,
Path: "/api/embed",
Setup: func(t *testing.T, req *http.Request) {
embedReq := api.EmbedRequest{
Model: "t-bone",
Input: "",
}
jsonData, err := json.Marshal(embedReq)
require.NoError(t, err)
req.Body = io.NopCloser(bytes.NewReader(jsonData))
},
Expected: func(t *testing.T, resp *http.Response) {
contentType := resp.Header.Get("Content-Type")
if contentType != "application/json; charset=utf-8" {
t.Fatalf("expected content type application/json; charset=utf-8, got %s", contentType)
}
body, err := io.ReadAll(resp.Body)
if err != nil {
t.Fatal(err)
}
var embedResp api.EmbedResponse
err = json.Unmarshal(body, &embedResp)
if err != nil {
t.Fatal(err)
}
if embedResp.Model != "t-bone" {
t.Fatalf("expected model t-bone, got %s", embedResp.Model)
}
if embedResp.Embeddings == nil {
t.Fatalf("expected embeddings to not be nil, got %v", embedResp.Embeddings)
}
if len(embedResp.Embeddings) != 0 {
t.Fatalf("expected embeddings to be empty, got %v", embedResp.Embeddings)
}
},
},
{
Name: "Embed Handler Invalid Input",
Method: http.MethodPost,
Path: "/api/embed",
Setup: func(t *testing.T, req *http.Request) {
embedReq := api.EmbedRequest{
Model: "t-bone",
Input: 2,
}
jsonData, err := json.Marshal(embedReq)
require.NoError(t, err)
req.Body = io.NopCloser(bytes.NewReader(jsonData))
},
Expected: func(t *testing.T, resp *http.Response) {
contentType := resp.Header.Get("Content-Type")
if contentType != "application/json; charset=utf-8" {
t.Fatalf("expected content type application/json; charset=utf-8, got %s", contentType)
}
_, err := io.ReadAll(resp.Body)
if err != nil {
t.Fatal(err)
}
if resp.StatusCode != http.StatusBadRequest {
t.Fatalf("expected status code 400, got %d", resp.StatusCode)
}
},
},
}
t.Setenv("OLLAMA_MODELS", t.TempDir())
@@ -492,38 +420,3 @@ func TestShow(t *testing.T) {
t.Fatal("Expected projector architecture to be 'clip', but got", resp.ProjectorInfo["general.architecture"])
}
}
func TestNormalize(t *testing.T) {
type testCase struct {
input []float32
}
testCases := []testCase{
{input: []float32{1}},
{input: []float32{0, 1, 2, 3}},
{input: []float32{0.1, 0.2, 0.3}},
{input: []float32{-0.1, 0.2, 0.3, -0.4}},
{input: []float32{0, 0, 0}},
}
isNormalized := func(vec []float32) (res bool) {
sum := 0.0
for _, v := range vec {
sum += float64(v * v)
}
if math.Abs(sum-1) > 1e-6 {
return sum == 0
} else {
return true
}
}
for _, tc := range testCases {
t.Run("", func(t *testing.T) {
normalized := normalize(tc.input)
if !isNormalized(normalized) {
t.Errorf("Vector %v is not normalized", tc.input)
}
})
}
}

View File

@@ -642,8 +642,8 @@ type mockLlm struct {
pingResp error
waitResp error
completionResp error
embedResp [][]float32
embedRespErr error
embeddingResp []float64
embeddingRespErr error
tokenizeResp []int
tokenizeRespErr error
detokenizeResp string
@@ -660,8 +660,8 @@ func (s *mockLlm) WaitUntilRunning(ctx context.Context) error { return s.waitRes
func (s *mockLlm) Completion(ctx context.Context, req llm.CompletionRequest, fn func(llm.CompletionResponse)) error {
return s.completionResp
}
func (s *mockLlm) Embed(ctx context.Context, input []string) ([][]float32, error) {
return s.embedResp, s.embedRespErr
func (s *mockLlm) Embedding(ctx context.Context, prompt string) ([]float64, error) {
return s.embeddingResp, s.embeddingRespErr
}
func (s *mockLlm) Tokenize(ctx context.Context, content string) ([]int, error) {
return s.tokenizeResp, s.tokenizeRespErr

View File

@@ -1,67 +0,0 @@
{{- if or .Tools .System }}<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>
{{- if .Tools }}# Safety Preamble
The instructions in this section override those in the task description and style guide sections. Don't answer questions that are harmful or immoral.
# System Preamble
## Basic Rules
You are a powerful conversational AI trained by Cohere to help people. You are augmented by a number of tools, and your job is to use and consume the output of these tools to best help the user. You will see a conversation history between yourself and a user, ending with an utterance from the user. You will then see a specific instruction instructing you what kind of response to generate. When you answer the user's requests, you cite your sources in your answers, according to those instructions.
{{ if .System }}# User Preamble
{{ .System }}
{{- end }}
## Available Tools
Here is a list of tools that you have available to you:
{{- range .Tools }}
```python
def {{ .Function.Name }}(
{{- range $name, $property := .Function.Parameters.Properties }}{{ $name }}: {{ $property.Type }}, {{ end }}) -> List[Dict]:
"""{{ .Function.Description }}
{{- if .Function.Parameters.Properties }}
Args:
{{- range $name, $property := .Function.Parameters.Properties }}
{{ $name }} ({{ $property.Type }}): {{ $property.Description }}
{{- end }}
{{- end }}
"""
pass
```
{{- end }}
{{- else if .System }}{{ .System }}
{{- end }}<|END_OF_TURN_TOKEN|>
{{- end }}
{{- range .Messages }}
{{- if eq .Role "system" }}
{{- continue }}
{{- end }}<|START_OF_TURN_TOKEN|>
{{- if eq .Role "user" }}<|USER_TOKEN|>{{ .Content }}
{{- else if eq .Role "assistant" }}<|CHATBOT_TOKEN|>
{{- if .Content }}{{ .Content }}
{{- else if .ToolCalls }}
Action: ```json
[
{{- range .ToolCalls }}
{
"tool_name": "{{ .Function.Name }}",
"parameters": {{ .Function.Arguments }}
}
{{- end }}
]```
{{ continue }}
{{ end }}
{{- else if eq .Role "tool" }}<|SYSTEM_TOKEN|><results>
{{ .Content }}</results>
{{- end }}<|END_OF_TURN_TOKEN|>
{{- end }}
{{- if .Tools }}<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>Write 'Action:' followed by a json-formatted list of actions that you want to perform in order to produce a good response to the user's last input. You can use any of the supplied tools any number of times, but you should aim to execute the minimum number of necessary actions for the input. You should use the `directly-answer` tool if calling the other tools is unnecessary. The list of actions you want to call should be formatted as a list of json objects, for example:
```json
[
{
"tool_name": title of the tool in the specification,
"parameters": a dict of parameters to input into the tool as they are defined in the specs, or {} if it takes no parameters
}
]```
{{- end }}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>

View File

@@ -1,39 +0,0 @@
<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|># Safety Preamble
The instructions in this section override those in the task description and style guide sections. Don't answer questions that are harmful or immoral.
# System Preamble
## Basic Rules
You are a powerful conversational AI trained by Cohere to help people. You are augmented by a number of tools, and your job is to use and consume the output of these tools to best help the user. You will see a conversation history between yourself and a user, ending with an utterance from the user. You will then see a specific instruction instructing you what kind of response to generate. When you answer the user's requests, you cite your sources in your answers, according to those instructions.
# User Preamble
You are a knowledgable assistant. You can answer questions and perform tasks.
## Available Tools
Here is a list of tools that you have available to you:
```python
def get_current_weather(format: string, location: string, ) -> List[Dict]:
"""Get the current weather
Args:
format (string): The temperature unit to use. Infer this from the users location.
location (string): The city and state, e.g. San Francisco, CA
"""
pass
```<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>What's the weather like today in Paris?<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>
Action: ```json
[
{
"tool_name": "get_current_weather",
"parameters": {"format":"celsius","location":"Paris, France"}
}
]```
<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|><results>
22</results><|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>The current temperature in Paris, France is 22 degrees Celsius.<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>What's the weather like today in San Francisco and Toronto?<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>Write 'Action:' followed by a json-formatted list of actions that you want to perform in order to produce a good response to the user's last input. You can use any of the supplied tools any number of times, but you should aim to execute the minimum number of necessary actions for the input. You should use the `directly-answer` tool if calling the other tools is unnecessary. The list of actions you want to call should be formatted as a list of json objects, for example:
```json
[
{
"tool_name": title of the tool in the specification,
"parameters": a dict of parameters to input into the tool as they are defined in the specs, or {} if it takes no parameters
}
]```<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>

View File

@@ -1,31 +0,0 @@
{{- if or .System .Tools }}<|start_header_id|>system<|end_header_id|>
{{- if .System }}
{{ .System }}
{{- end }}
In addition to plain text responses, you can chose to call one or more of the provided functions.
Use the following rule to decide when to call a function:
* if the response can be generated from your internal knowledge (e.g., as in the case of queries like "What is the capital of Poland?"), do so
* if you need external information that can be obtained by calling one or more of the provided functions, generate a function calls
If you decide to call functions:
* prefix function calls with functools marker (no closing marker required)
* all function calls should be generated in a single JSON list formatted as functools[{"name": [function name], "arguments": [function arguments as JSON]}, ...]
* follow the provided JSON schema. Do not hallucinate arguments or values. Do to blindly copy values from the provided samples
* respect the argument type formatting. E.g., if the type if number and format is float, write value 7 as 7.0
* make sure you pick the right functions that match the user intent
Available functions as JSON spec:
{{- if .Tools }}
{{ .Tools }}
{{- end }}<|eot_id|>
{{- end }}
{{- range .Messages }}<|start_header_id|>
{{- if or (eq .Role "user") (eq .Role "assistant") (eq .Role "tool") }}{{ .Role }}
{{- end }}<|end_header_id|>
{{- if .Content }}{{ .Content }}
{{- else if .ToolCalls }} functools[
{{- range .ToolCalls }}{{ "{" }}"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}{{ "}" }}
{{- end }}]
{{- end }}<|eot_id|>
{{- end }}<|start_header_id|>assistant<|end_header_id|>

View File

@@ -1,17 +0,0 @@
<|start_header_id|>system<|end_header_id|>
You are a knowledgable assistant. You can answer questions and perform tasks.
In addition to plain text responses, you can chose to call one or more of the provided functions.
Use the following rule to decide when to call a function:
* if the response can be generated from your internal knowledge (e.g., as in the case of queries like "What is the capital of Poland?"), do so
* if you need external information that can be obtained by calling one or more of the provided functions, generate a function calls
If you decide to call functions:
* prefix function calls with functools marker (no closing marker required)
* all function calls should be generated in a single JSON list formatted as functools[{"name": [function name], "arguments": [function arguments as JSON]}, ...]
* follow the provided JSON schema. Do not hallucinate arguments or values. Do to blindly copy values from the provided samples
* respect the argument type formatting. E.g., if the type if number and format is float, write value 7 as 7.0
* make sure you pick the right functions that match the user intent
Available functions as JSON spec:
[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather","parameters":{"type":"object","required":["location","format"],"properties":{"format":{"type":"string","description":"The temperature unit to use. Infer this from the users location.","enum":["celsius","fahrenheit"]},"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"}}}}}]<|eot_id|><|start_header_id|><|end_header_id|>You are a knowledgable assistant. You can answer questions and perform tasks.<|eot_id|><|start_header_id|>user<|end_header_id|>What's the weather like today in Paris?<|eot_id|><|start_header_id|>assistant<|end_header_id|> functools[{"name": "get_current_weather", "arguments": {"format":"celsius","location":"Paris, France"}}]<|eot_id|><|start_header_id|>tool<|end_header_id|>22<|eot_id|><|start_header_id|>assistant<|end_header_id|>The current temperature in Paris, France is 22 degrees Celsius.<|eot_id|><|start_header_id|>user<|end_header_id|>What's the weather like today in San Francisco and Toronto?<|eot_id|><|start_header_id|>assistant<|end_header_id|>

View File

@@ -1,43 +0,0 @@
{{- if .Messages }}
{{- if or .System .Tools }}<|start_header_id|>system<|end_header_id|>
{{ .System }}
{{- if .Tools }} You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
<tool_call>
{"name": <function-name>,"arguments": <args-dict>}
</tool_call>
Here are the available tools:
<tools>
{{- range .Tools }} {{ .Function }}
{{- end }} </tools>
{{- end }}
{{- end }}<|eot_id|>
{{- range .Messages }}
{{- if ne .Role "system" }}<|start_header_id|>{{ .Role }}<|end_header_id|>
{{ if eq .Role "user" }}{{ .Content }}
{{- else if eq .Role "assistant" }}
{{- if .Content }}{{ .Content }}
{{- else if .ToolCalls }}<tool_call>
{{ range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}}
{{- end }}
</tool_call>
{{- end }}
{{- else if eq .Role "tool" }}<tool_response>
{{ .Content }}
</tool_response>
{{- end }}<|eot_id|>
{{- end }}
{{- end }}<|start_header_id|>assistant<|end_header_id|>
{{ else }}
{{ if .System }}<|start_header_id|>system<|end_header_id|>
{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>
{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>
{{ end }}{{ .Response }}
{{- if .Response }}<|eot_id|>
{{- end }}

View File

@@ -1,24 +0,0 @@
<|start_header_id|>system<|end_header_id|>
You are a knowledgable assistant. You can answer questions and perform tasks. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
<tool_call>
{"name": <function-name>,"arguments": <args-dict>}
</tool_call>
Here are the available tools:
<tools> {"name":"get_current_weather","description":"Get the current weather","parameters":{"type":"object","required":["location","format"],"properties":{"format":{"type":"string","description":"The temperature unit to use. Infer this from the users location.","enum":["celsius","fahrenheit"]},"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"}}}} </tools><|eot_id|><|start_header_id|>user<|end_header_id|>
What's the weather like today in Paris?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
<tool_call>
{"name": "get_current_weather", "arguments": {"format":"celsius","location":"Paris, France"}}
</tool_call><|eot_id|><|start_header_id|>tool<|end_header_id|>
<tool_response>
22
</tool_response><|eot_id|><|start_header_id|>assistant<|end_header_id|>
The current temperature in Paris, France is 22 degrees Celsius.<|eot_id|><|start_header_id|>user<|end_header_id|>
What's the weather like today in San Francisco and Toronto?<|eot_id|><|start_header_id|>assistant<|end_header_id|>

View File

@@ -1,39 +0,0 @@
[
{
"role": "system",
"content": "You are a knowledgable assistant. You can answer questions and perform tasks."
},
{
"role": "user",
"content": "What's the weather like today in Paris?"
},
{
"role": "assistant",
"tool_calls": [
{
"id": "89a1e453-0bce-4de3-a456-c54bed09c520",
"type": "function",
"function": {
"name": "get_current_weather",
"arguments": {
"location": "Paris, France",
"format": "celsius"
}
}
}
]
},
{
"role": "tool",
"tool_call_id": "89a1e453-0bce-4de3-a456-c54bed09c520",
"content": "22"
},
{
"role": "assistant",
"content": "The current temperature in Paris, France is 22 degrees Celsius."
},
{
"role": "user",
"content": "What's the weather like today in San Francisco and Toronto?"
}
]

View File

@@ -1,15 +0,0 @@
{{- range $index, $_ := .Messages }}
{{- if eq .Role "user" }}
{{- if and (eq (len (slice $.Messages $index)) 1) $.Tools }}[AVAILABLE_TOOLS] {{ $.Tools }}[/AVAILABLE_TOOLS]
{{- end }}[INST] {{ if and (eq (len (slice $.Messages $index)) 1) $.System }}{{ $.System }}
{{ end }}{{ .Content }}[/INST]
{{- else if eq .Role "assistant" }}
{{- if .Content }} {{ .Content }}</s>
{{- else if .ToolCalls }}[TOOL_CALLS] [
{{- range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}}
{{- end }}]</s>
{{- end }}
{{- else if eq .Role "tool" }}[TOOL_RESULTS] {"content": {{ .Content }}}[/TOOL_RESULTS]
{{- end }}
{{- end }}

View File

@@ -1,3 +0,0 @@
[INST] What's the weather like today in Paris?[/INST][TOOL_CALLS] [{"name": "get_current_weather", "arguments": {"format":"celsius","location":"Paris, France"}}]</s>[TOOL_RESULTS] {"content": 22}[/TOOL_RESULTS] The current temperature in Paris, France is 22 degrees Celsius.</s>[AVAILABLE_TOOLS] [{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather","parameters":{"type":"object","required":["location","format"],"properties":{"format":{"type":"string","description":"The temperature unit to use. Infer this from the users location.","enum":["celsius","fahrenheit"]},"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"}}}}}][/AVAILABLE_TOOLS][INST] You are a knowledgable assistant. You can answer questions and perform tasks.
What's the weather like today in San Francisco and Toronto?[/INST]

View File

@@ -1,30 +0,0 @@
[
{
"type": "function",
"function": {
"name": "get_current_weather",
"description": "Get the current weather",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA"
},
"format": {
"type": "string",
"enum": [
"celsius",
"fahrenheit"
],
"description": "The temperature unit to use. Infer this from the users location."
}
},
"required": [
"location",
"format"
]
}
}
}
]

View File

@@ -102,15 +102,8 @@ var response = parse.ActionNode{
},
}
var funcs = template.FuncMap{
"json": func(v any) string {
b, _ := json.Marshal(v)
return string(b)
},
}
func Parse(s string) (*Template, error) {
tmpl := template.New("").Option("missingkey=zero").Funcs(funcs)
tmpl := template.New("").Option("missingkey=zero")
tmpl, err := tmpl.Parse(s)
if err != nil {
@@ -134,7 +127,7 @@ func (t *Template) Vars() []string {
var vars []string
for _, tt := range t.Templates() {
for _, n := range tt.Root.Nodes {
vars = append(vars, Identifiers(n)...)
vars = append(vars, parseNode(n)...)
}
}
@@ -150,74 +143,17 @@ func (t *Template) Vars() []string {
type Values struct {
Messages []api.Message
api.Tools
Prompt string
Suffix string
// forceLegacy is a flag used to test compatibility with legacy templates
forceLegacy bool
}
func (t *Template) Subtree(fn func(parse.Node) bool) *template.Template {
var walk func(parse.Node) parse.Node
walk = func(n parse.Node) parse.Node {
if fn(n) {
return n
}
switch t := n.(type) {
case *parse.ListNode:
for _, c := range t.Nodes {
if n := walk(c); n != nil {
return n
}
}
case *parse.BranchNode:
for _, n := range []*parse.ListNode{t.List, t.ElseList} {
if n != nil {
if n := walk(n); n != nil {
return n
}
}
}
case *parse.IfNode:
return walk(&t.BranchNode)
case *parse.WithNode:
return walk(&t.BranchNode)
case *parse.RangeNode:
return walk(&t.BranchNode)
}
return nil
}
if n := walk(t.Tree.Root); n != nil {
return (&template.Template{
Tree: &parse.Tree{
Root: &parse.ListNode{
Nodes: []parse.Node{n},
},
},
}).Funcs(funcs)
}
return nil
}
func (t *Template) Execute(w io.Writer, v Values) error {
system, messages := collate(v.Messages)
if v.Prompt != "" && v.Suffix != "" {
return t.Template.Execute(w, map[string]any{
"Prompt": v.Prompt,
"Suffix": v.Suffix,
"Response": "",
})
} else if !v.forceLegacy && slices.Contains(t.Vars(), "messages") {
if !v.forceLegacy && slices.Contains(t.Vars(), "messages") {
return t.Template.Execute(w, map[string]any{
"System": system,
"Messages": messages,
"Tools": v.Tools,
"Response": "",
})
}
@@ -262,9 +198,13 @@ func (t *Template) Execute(w io.Writer, v Values) error {
var cut bool
nodes := deleteNode(t.Template.Root.Copy(), func(n parse.Node) bool {
if field, ok := n.(*parse.FieldNode); ok && slices.Contains(field.Ident, "Response") {
switch t := n.(type) {
case *parse.ActionNode:
case *parse.FieldNode:
if slices.Contains(t.Ident, "Response") {
cut = true
}
}
return cut
})
@@ -273,7 +213,6 @@ func (t *Template) Execute(w io.Writer, v Values) error {
if err := template.Must(template.New("").AddParseTree("", &tree)).Execute(&b, map[string]any{
"System": system,
"Prompt": prompt,
"Response": "",
}); err != nil {
return err
}
@@ -316,46 +255,50 @@ func collate(msgs []api.Message) (string, []*api.Message) {
return strings.Join(system, "\n\n"), collated
}
// Identifiers walks the node tree returning any identifiers it finds along the way
func Identifiers(n parse.Node) []string {
func parseNode(n parse.Node) []string {
switch n := n.(type) {
case *parse.ListNode:
var names []string
for _, n := range n.Nodes {
names = append(names, Identifiers(n)...)
}
return names
case *parse.TemplateNode:
return Identifiers(n.Pipe)
case *parse.ActionNode:
return Identifiers(n.Pipe)
case *parse.BranchNode:
names := Identifiers(n.Pipe)
for _, n := range []*parse.ListNode{n.List, n.ElseList} {
if n != nil {
names = append(names, Identifiers(n)...)
}
return parseNode(n.Pipe)
case *parse.IfNode:
names := parseNode(n.Pipe)
names = append(names, parseNode(n.List)...)
if n.ElseList != nil {
names = append(names, parseNode(n.ElseList)...)
}
return names
case *parse.IfNode:
return Identifiers(&n.BranchNode)
case *parse.RangeNode:
return Identifiers(&n.BranchNode)
names := parseNode(n.Pipe)
names = append(names, parseNode(n.List)...)
if n.ElseList != nil {
names = append(names, parseNode(n.ElseList)...)
}
return names
case *parse.WithNode:
return Identifiers(&n.BranchNode)
names := parseNode(n.Pipe)
names = append(names, parseNode(n.List)...)
if n.ElseList != nil {
names = append(names, parseNode(n.ElseList)...)
}
return names
case *parse.PipeNode:
var names []string
for _, c := range n.Cmds {
for _, a := range c.Args {
names = append(names, Identifiers(a)...)
names = append(names, parseNode(a)...)
}
}
return names
case *parse.ListNode:
var names []string
for _, n := range n.Nodes {
names = append(names, parseNode(n)...)
}
return names
case *parse.FieldNode:
return n.Ident
case *parse.VariableNode:
return n.Ident
case *parse.TemplateNode:
return parseNode(n.Pipe)
}
return nil

View File

@@ -359,38 +359,3 @@ Answer: `,
})
}
}
func TestExecuteWithSuffix(t *testing.T) {
tmpl, err := Parse(`{{- if .Suffix }}<PRE> {{ .Prompt }} <SUF>{{ .Suffix }} <MID>
{{- else }}{{ .Prompt }}
{{- end }}`)
if err != nil {
t.Fatal(err)
}
cases := []struct {
name string
values Values
expect string
}{
{
"message", Values{Messages: []api.Message{{Role: "user", Content: "hello"}}}, "hello",
},
{
"prompt suffix", Values{Prompt: "def add(", Suffix: "return x"}, "<PRE> def add( <SUF>return x <MID>",
},
}
for _, tt := range cases {
t.Run(tt.name, func(t *testing.T) {
var b bytes.Buffer
if err := tmpl.Execute(&b, tt.values); err != nil {
t.Fatal(err)
}
if diff := cmp.Diff(b.String(), tt.expect); diff != "" {
t.Errorf("mismatch (-got +want):\n%s", diff)
}
})
}
}