core/http/app_test.go

package http_test

import (
	"bytes"
	"context"
	"encoding/json"
	"fmt"
	"io"
	"net/http"
	"os"
	"path/filepath"
	"runtime"
	"time"

	"github.com/mudler/LocalAI/core/application"
	"github.com/mudler/LocalAI/core/config"
	. "github.com/mudler/LocalAI/core/http"
	"github.com/mudler/LocalAI/core/schema"

	"github.com/labstack/echo/v4"
	"github.com/mudler/LocalAI/core/gallery"
	"github.com/mudler/LocalAI/pkg/downloader"
	"github.com/mudler/LocalAI/pkg/system"
	. "github.com/onsi/ginkgo/v2"
	. "github.com/onsi/gomega"
	"gopkg.in/yaml.v3"

	"github.com/mudler/xlog"
	openaigo "github.com/otiai10/openaigo"
	"github.com/sashabaranov/go-openai"
	"github.com/sashabaranov/go-openai/jsonschema"
)

const apiKey = "joshua"
const bearerKey = "Bearer " + apiKey

const testPrompt = `### System:
You are an AI assistant that follows instruction extremely well. Help as much as you can.

### Instruction:

Say hello.

### Response:`

type modelApplyRequest struct {
	ID        string                 `json:"id"`
	URL       string                 `json:"url"`
	ConfigURL string                 `json:"config_url"`
	Name      string                 `json:"name"`
	Overrides map[string]interface{} `json:"overrides"`
}

func getModelStatus(url string) (response map[string]interface{}) {
	// Create the HTTP request
	req, err := http.NewRequest("GET", url, nil)
	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Authorization", bearerKey)
	if err != nil {
		fmt.Println("Error creating request:", err)
		return
	}
	client := &http.Client{}
	resp, err := client.Do(req)
	if err != nil {
		fmt.Println("Error sending request:", err)
		return
	}
	defer resp.Body.Close()

	body, err := io.ReadAll(resp.Body)
	if err != nil {
		fmt.Println("Error reading response body:", err)
		return
	}

	// Unmarshal the response into a map[string]interface{}
	err = json.Unmarshal(body, &response)
	if err != nil {
		fmt.Println("Error unmarshaling JSON response:", err)
		return
	}
	return
}

func getModels(url string) ([]gallery.GalleryModel, error) {
	response := []gallery.GalleryModel{}
	uri := downloader.URI(url)
	// TODO: No tests currently seem to exercise file:// urls. Fix?
	err := uri.ReadWithAuthorizationAndCallback(context.TODO(), "", bearerKey, func(url string, i []byte) error {
		// Unmarshal YAML data into a struct
		return json.Unmarshal(i, &response)
	})
	return response, err
}

func postModelApplyRequest(url string, request modelApplyRequest) (response map[string]interface{}) {

	//url := "http://localhost:AI/models/apply"

	// Create the request payload

	payload, err := json.Marshal(request)
	if err != nil {
		fmt.Println("Error marshaling JSON:", err)
		return
	}

	// Create the HTTP request
	req, err := http.NewRequest("POST", url, bytes.NewBuffer(payload))
	if err != nil {
		fmt.Println("Error creating request:", err)
		return
	}
	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Authorization", bearerKey)

	// Make the request
	client := &http.Client{}
	resp, err := client.Do(req)
	if err != nil {
		fmt.Println("Error making request:", err)
		return
	}
	defer resp.Body.Close()

	body, err := io.ReadAll(resp.Body)
	if err != nil {
		fmt.Println("Error reading response body:", err)
		return
	}

	// Unmarshal the response into a map[string]interface{}
	err = json.Unmarshal(body, &response)
	if err != nil {
		fmt.Println("Error unmarshaling JSON response:", err)
		return
	}
	return
}

func postRequestJSON[B any](url string, bodyJson *B) error {
	payload, err := json.Marshal(bodyJson)
	if err != nil {
		return err
	}

	GinkgoWriter.Printf("POST %s: %s\n", url, string(payload))

	req, err := http.NewRequest("POST", url, bytes.NewBuffer(payload))
	if err != nil {
		return err
	}

	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Authorization", bearerKey)

	client := &http.Client{}
	resp, err := client.Do(req)
	if err != nil {
		return err
	}

	defer resp.Body.Close()

	body, err := io.ReadAll(resp.Body)
	if err != nil {
		return err
	}

	if resp.StatusCode < 200 || resp.StatusCode >= 400 {
		return fmt.Errorf("unexpected status code: %d, body: %s", resp.StatusCode, string(body))
	}

	return nil
}

func postRequestResponseJSON[B1 any, B2 any](url string, reqJson *B1, respJson *B2) error {
	payload, err := json.Marshal(reqJson)
	if err != nil {
		return err
	}

	GinkgoWriter.Printf("POST %s: %s\n", url, string(payload))

	req, err := http.NewRequest("POST", url, bytes.NewBuffer(payload))
	if err != nil {
		return err
	}

	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Authorization", bearerKey)

	client := &http.Client{}
	resp, err := client.Do(req)
	if err != nil {
		return err
	}
	defer resp.Body.Close()

	body, err := io.ReadAll(resp.Body)
	if err != nil {
		return err
	}

	if resp.StatusCode < 200 || resp.StatusCode >= 400 {
		return fmt.Errorf("unexpected status code: %d, body: %s", resp.StatusCode, string(body))
	}

	return json.Unmarshal(body, respJson)
}

func putRequestJSON[B any](url string, bodyJson *B) error {
	payload, err := json.Marshal(bodyJson)
	if err != nil {
		return err
	}

	GinkgoWriter.Printf("PUT %s: %s\n", url, string(payload))

	req, err := http.NewRequest("PUT", url, bytes.NewBuffer(payload))
	if err != nil {
		return err
	}

	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Authorization", bearerKey)

	client := &http.Client{}
	resp, err := client.Do(req)
	if err != nil {
		return err
	}
	defer resp.Body.Close()

	body, err := io.ReadAll(resp.Body)
	if err != nil {
		return err
	}

	if resp.StatusCode < 200 || resp.StatusCode >= 400 {
		return fmt.Errorf("unexpected status code: %d, body: %s", resp.StatusCode, string(body))
	}

	return nil
}

func postInvalidRequest(url string) (error, int) {

	req, err := http.NewRequest("POST", url, bytes.NewBufferString("invalid request"))
	if err != nil {
		return err, -1
	}

	req.Header.Set("Content-Type", "application/json")

	client := &http.Client{}
	resp, err := client.Do(req)
	if err != nil {
		return err, -1
	}

	defer resp.Body.Close()

	body, err := io.ReadAll(resp.Body)
	if err != nil {
		return err, -1
	}

	if resp.StatusCode < 200 || resp.StatusCode >= 400 {
		return fmt.Errorf("unexpected status code: %d, body: %s", resp.StatusCode, string(body)), resp.StatusCode
	}

	return nil, resp.StatusCode
}

func getRequest(url string, header http.Header) (error, int, []byte) {

	req, err := http.NewRequest("GET", url, nil)
	if err != nil {
		return err, -1, nil
	}

	req.Header = header

	client := &http.Client{}
	resp, err := client.Do(req)
	if err != nil {
		return err, -1, nil
	}

	defer resp.Body.Close()

	body, err := io.ReadAll(resp.Body)
	if err != nil {
		return err, -1, nil
	}

	return nil, resp.StatusCode, body
}

const bertEmbeddingsURL = `https://gist.githubusercontent.com/mudler/0a080b166b87640e8644b09c2aee6e3b/raw/f0e8c26bb72edc16d9fbafbfd6638072126ff225/bert-embeddings-gallery.yaml`

var _ = Describe("API test", func() {

	var app *echo.Echo
	var client *openai.Client
	var client2 *openaigo.Client
	var c context.Context
	var cancel context.CancelFunc
	var tmpdir string
	var modelDir string

	commonOpts := []config.AppOption{
		config.WithDebug(true),
	}

	Context("API with ephemeral models", func() {

		BeforeEach(func(sc SpecContext) {
			var err error
			tmpdir, err = os.MkdirTemp("", "")
			Expect(err).ToNot(HaveOccurred())

			backendPath := os.Getenv("BACKENDS_PATH")

			modelDir = filepath.Join(tmpdir, "models")
			err = os.Mkdir(modelDir, 0750)
			Expect(err).ToNot(HaveOccurred())

			c, cancel = context.WithCancel(context.Background())

			g := []gallery.GalleryModel{
				{
					Metadata: gallery.Metadata{
						Name: "bert",
						URL:  bertEmbeddingsURL,
					},
				},
				{
					Metadata: gallery.Metadata{
						Name:            "bert2",
						URL:             bertEmbeddingsURL,
						AdditionalFiles: []gallery.File{{Filename: "foo.yaml", URI: bertEmbeddingsURL}},
					},
					Overrides: map[string]interface{}{"foo": "bar"},
				},
			}
			out, err := yaml.Marshal(g)
			Expect(err).ToNot(HaveOccurred())
			err = os.WriteFile(filepath.Join(modelDir, "gallery_simple.yaml"), out, 0600)
			Expect(err).ToNot(HaveOccurred())

			galleries := []config.Gallery{
				{
					Name: "test",
					URL:  "file://" + filepath.Join(modelDir, "gallery_simple.yaml"),
				},
			}

			systemState, err := system.GetSystemState(
				system.WithBackendPath(backendPath),
				system.WithModelPath(modelDir),
			)
			Expect(err).ToNot(HaveOccurred())

			application, err := application.New(
				append(commonOpts,
					config.WithContext(c),
					config.WithSystemState(systemState),
					config.WithGalleries(galleries),
					config.WithApiKeys([]string{apiKey}),
				)...)
			Expect(err).ToNot(HaveOccurred())

			app, err = API(application)
			Expect(err).ToNot(HaveOccurred())

			go func() {
				if err := app.Start("127.0.0.1:9090"); err != nil && err != http.ErrServerClosed {
					xlog.Error("server error", "error", err)
				}
			}()

			defaultConfig := openai.DefaultConfig(apiKey)
			defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"

			client2 = openaigo.NewClient("")
			client2.BaseURL = defaultConfig.BaseURL

			// Wait for API to be ready
			client = openai.NewClientWithConfig(defaultConfig)
			Eventually(func() error {
				_, err := client.ListModels(context.TODO())
				return err
			}, "2m").ShouldNot(HaveOccurred())
		})

		AfterEach(func(sc SpecContext) {
			cancel()
			if app != nil {
				ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
				defer cancel()
				err := app.Shutdown(ctx)
				Expect(err).ToNot(HaveOccurred())
			}
			err := os.RemoveAll(tmpdir)
			Expect(err).ToNot(HaveOccurred())
			_, err = os.ReadDir(tmpdir)
			Expect(err).To(HaveOccurred())
		})

		Context("Auth Tests", func() {
			It("Should fail if the api key is missing", func() {
				err, sc := postInvalidRequest("http://127.0.0.1:9090/models/available")
				Expect(err).ToNot(BeNil())
				Expect(sc).To(Equal(401))
			})
		})

		Context("URL routing Tests", func() {
			It("Should support reverse-proxy when unauthenticated", func() {

				err, sc, body := getRequest("http://127.0.0.1:9090/myprefix/", http.Header{
					"X-Forwarded-Proto":  {"https"},
					"X-Forwarded-Host":   {"example.org"},
					"X-Forwarded-Prefix": {"/myprefix/"},
				})
				Expect(err).To(BeNil(), "error")
				Expect(sc).To(Equal(401), "status code")
				Expect(string(body)).To(ContainSubstring(`<base href="https://example.org/myprefix/" />`), "body")
			})

			It("Should support reverse-proxy when authenticated", func() {

				err, sc, body := getRequest("http://127.0.0.1:9090/myprefix/", http.Header{
					"Authorization":      {bearerKey},
					"X-Forwarded-Proto":  {"https"},
					"X-Forwarded-Host":   {"example.org"},
					"X-Forwarded-Prefix": {"/myprefix/"},
				})
				Expect(err).To(BeNil(), "error")
				Expect(sc).To(Equal(200), "status code")
				Expect(string(body)).To(ContainSubstring(`<base href="https://example.org/myprefix/" />`), "body")
			})
		})

		Context("Applying models", func() {

			It("applies models from a gallery", func() {
				models, err := getModels("http://127.0.0.1:9090/models/available")
				Expect(err).To(BeNil())
				Expect(len(models)).To(Equal(2), fmt.Sprint(models))
				Expect(models[0].Installed).To(BeFalse(), fmt.Sprint(models))
				Expect(models[1].Installed).To(BeFalse(), fmt.Sprint(models))

				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
					ID: "test@bert2",
				})

				Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))

				uuid := response["uuid"].(string)
				resp := map[string]interface{}{}
				Eventually(func() bool {
					response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
					fmt.Println(response)
					resp = response
					return response["processed"].(bool)
				}, "360s", "10s").Should(Equal(true))
				Expect(resp["message"]).ToNot(ContainSubstring("error"))

				dat, err := os.ReadFile(filepath.Join(modelDir, "bert2.yaml"))
				Expect(err).ToNot(HaveOccurred())

				_, err = os.ReadFile(filepath.Join(modelDir, "foo.yaml"))
				Expect(err).ToNot(HaveOccurred())

				content := map[string]interface{}{}
				err = yaml.Unmarshal(dat, &content)
				Expect(err).ToNot(HaveOccurred())
				Expect(content["usage"]).To(ContainSubstring("You can test this model with curl like this"))
				Expect(content["foo"]).To(Equal("bar"))

				models, err = getModels("http://127.0.0.1:9090/models/available")
				Expect(err).To(BeNil())
				Expect(len(models)).To(Equal(2), fmt.Sprint(models))
				Expect(models[0].Name).To(Or(Equal("bert"), Equal("bert2")))
				Expect(models[1].Name).To(Or(Equal("bert"), Equal("bert2")))
				for _, m := range models {
					if m.Name == "bert2" {
						Expect(m.Installed).To(BeTrue())
					} else {
						Expect(m.Installed).To(BeFalse())
					}
				}
			})
			It("overrides models", func() {

				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
					URL:  bertEmbeddingsURL,
					Name: "bert",
					Overrides: map[string]interface{}{
						"backend": "llama",
					},
				})

				Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))

				uuid := response["uuid"].(string)

				Eventually(func() bool {
					response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
					return response["processed"].(bool)
				}, "360s", "10s").Should(Equal(true))

				dat, err := os.ReadFile(filepath.Join(modelDir, "bert.yaml"))
				Expect(err).ToNot(HaveOccurred())

				content := map[string]interface{}{}
				err = yaml.Unmarshal(dat, &content)
				Expect(err).ToNot(HaveOccurred())
				Expect(content["backend"]).To(Equal("llama"))
			})
			It("apply models without overrides", func() {
				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
					URL:       bertEmbeddingsURL,
					Name:      "bert",
					Overrides: map[string]interface{}{},
				})

				Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))

				uuid := response["uuid"].(string)

				Eventually(func() bool {
					response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
					return response["processed"].(bool)
				}, "360s", "10s").Should(Equal(true))

				dat, err := os.ReadFile(filepath.Join(modelDir, "bert.yaml"))
				Expect(err).ToNot(HaveOccurred())

				content := map[string]interface{}{}
				err = yaml.Unmarshal(dat, &content)
				Expect(err).ToNot(HaveOccurred())
				Expect(content["usage"]).To(ContainSubstring("You can test this model with curl like this"))
			})

		})

		Context("Importing models from URI", func() {
			var testYamlFile string

			BeforeEach(func() {
				// Create a test YAML config file
				yamlContent := `name: test-import-model
backend: llama-cpp
description: Test model imported from file URI
parameters:
  model: path/to/model.gguf
  temperature: 0.7
`
				testYamlFile = filepath.Join(tmpdir, "test-import.yaml")
				err := os.WriteFile(testYamlFile, []byte(yamlContent), 0644)
				Expect(err).ToNot(HaveOccurred())
			})

			AfterEach(func() {
				err := os.Remove(testYamlFile)
				Expect(err).ToNot(HaveOccurred())
			})

			It("should import model from file:// URI pointing to local YAML config", func() {
				importReq := schema.ImportModelRequest{
					URI:         "file://" + testYamlFile,
					Preferences: json.RawMessage(`{}`),
				}

				var response schema.GalleryResponse
				err := postRequestResponseJSON("http://127.0.0.1:9090/models/import-uri", &importReq, &response)
				Expect(err).ToNot(HaveOccurred())
				Expect(response.ID).ToNot(BeEmpty())

				uuid := response.ID
				resp := map[string]interface{}{}
				Eventually(func() bool {
					response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
					resp = response
					return response["processed"].(bool)
				}, "360s", "10s").Should(Equal(true))

				// Check that the model was imported successfully
				Expect(resp["message"]).ToNot(ContainSubstring("error"))
				Expect(resp["error"]).To(BeNil())

				// Verify the model config file was created
				dat, err := os.ReadFile(filepath.Join(modelDir, "test-import-model.yaml"))
				Expect(err).ToNot(HaveOccurred())

				content := map[string]interface{}{}
				err = yaml.Unmarshal(dat, &content)
				Expect(err).ToNot(HaveOccurred())
				Expect(content["name"]).To(Equal("test-import-model"))
				Expect(content["backend"]).To(Equal("llama-cpp"))
			})

			It("should return error when file:// URI points to non-existent file", func() {
				nonExistentFile := filepath.Join(tmpdir, "nonexistent.yaml")
				importReq := schema.ImportModelRequest{
					URI:         "file://" + nonExistentFile,
					Preferences: json.RawMessage(`{}`),
				}

				var response schema.GalleryResponse
				err := postRequestResponseJSON("http://127.0.0.1:9090/models/import-uri", &importReq, &response)
				// The endpoint should return an error immediately
				Expect(err).To(HaveOccurred())
				Expect(err.Error()).To(ContainSubstring("failed to discover model config"))
			})
		})

		Context("Importing models from URI can't point to absolute paths", func() {
			var testYamlFile string

			BeforeEach(func() {
				// Create a test YAML config file
				yamlContent := `name: test-import-model
backend: llama-cpp
description: Test model imported from file URI
parameters:
  model: /path/to/model.gguf
  temperature: 0.7
`
				testYamlFile = filepath.Join(tmpdir, "test-import.yaml")
				err := os.WriteFile(testYamlFile, []byte(yamlContent), 0644)
				Expect(err).ToNot(HaveOccurred())
			})

			AfterEach(func() {
				err := os.Remove(testYamlFile)
				Expect(err).ToNot(HaveOccurred())
			})

			It("should fail to import model from file:// URI pointing to local YAML config", func() {
				importReq := schema.ImportModelRequest{
					URI:         "file://" + testYamlFile,
					Preferences: json.RawMessage(`{}`),
				}

				var response schema.GalleryResponse
				err := postRequestResponseJSON("http://127.0.0.1:9090/models/import-uri", &importReq, &response)
				Expect(err).ToNot(HaveOccurred())
				Expect(response.ID).ToNot(BeEmpty())

				uuid := response.ID
				resp := map[string]interface{}{}
				Eventually(func() bool {
					response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
					resp = response
					return response["processed"].(bool)
				}, "360s", "10s").Should(Equal(true))

				// Check that the model was imported successfully
				Expect(resp["message"]).To(ContainSubstring("error"))
				Expect(resp["error"]).ToNot(BeNil())
			})
		})
	})

	Context("Model gallery", func() {
		BeforeEach(func() {
			var err error
			tmpdir, err = os.MkdirTemp("", "")

			backendPath := os.Getenv("BACKENDS_PATH")

			Expect(err).ToNot(HaveOccurred())
			modelDir = filepath.Join(tmpdir, "models")
			backendAssetsDir := filepath.Join(tmpdir, "backend-assets")
			err = os.Mkdir(backendAssetsDir, 0750)
			Expect(err).ToNot(HaveOccurred())

			c, cancel = context.WithCancel(context.Background())

			galleries := []config.Gallery{
				{
					Name: "localai",
					URL:  "https://raw.githubusercontent.com/mudler/LocalAI/refs/heads/master/gallery/index.yaml",
				},
			}

			systemState, err := system.GetSystemState(
				system.WithBackendPath(backendPath),
				system.WithModelPath(modelDir),
			)
			Expect(err).ToNot(HaveOccurred())

			application, err := application.New(
				append(commonOpts,
					config.WithContext(c),
					config.WithGeneratedContentDir(tmpdir),
					config.WithSystemState(systemState),
					config.WithGalleries(galleries),
				)...,
			)
			Expect(err).ToNot(HaveOccurred())
			app, err = API(application)
			Expect(err).ToNot(HaveOccurred())

			go func() {
				if err := app.Start("127.0.0.1:9090"); err != nil && err != http.ErrServerClosed {
					xlog.Error("server error", "error", err)
				}
			}()

			defaultConfig := openai.DefaultConfig("")
			defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"

			client2 = openaigo.NewClient("")
			client2.BaseURL = defaultConfig.BaseURL

			// Wait for API to be ready
			client = openai.NewClientWithConfig(defaultConfig)
			Eventually(func() error {
				_, err := client.ListModels(context.TODO())
				return err
			}, "2m").ShouldNot(HaveOccurred())
		})

		AfterEach(func() {
			cancel()
			if app != nil {
				ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
				defer cancel()
				err := app.Shutdown(ctx)
				Expect(err).ToNot(HaveOccurred())
			}
			err := os.RemoveAll(tmpdir)
			Expect(err).ToNot(HaveOccurred())
			_, err = os.ReadDir(tmpdir)
			Expect(err).To(HaveOccurred())
		})

		It("runs gguf models (chat)", Label("llama-gguf"), func() {
			if runtime.GOOS != "linux" {
				Skip("test supported only on linux")
			}

			modelName := "qwen3-1.7b"
			response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
				ID: "localai@" + modelName,
			})

			Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))

			uuid := response["uuid"].(string)

			Eventually(func() bool {
				response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
				return response["processed"].(bool)
			}, "900s", "10s").Should(Equal(true))

			By("testing chat")
			resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: modelName, Messages: []openai.ChatCompletionMessage{
				{
					Role:    "user",
					Content: "How much is 2+2?",
				},
			}})
			Expect(err).ToNot(HaveOccurred())
			Expect(len(resp.Choices)).To(Equal(1))
			Expect(resp.Choices[0].Message.Content).To(Or(ContainSubstring("4"), ContainSubstring("four")))

			By("testing functions")
			resp2, err := client.CreateChatCompletion(
				context.TODO(),
				openai.ChatCompletionRequest{
					Model: modelName,
					Messages: []openai.ChatCompletionMessage{
						{
							Role:    "user",
							Content: "What is the weather like in San Francisco (celsius)?",
						},
					},
					Functions: []openai.FunctionDefinition{
						openai.FunctionDefinition{
							Name:        "get_current_weather",
							Description: "Get the current weather",
							Parameters: jsonschema.Definition{
								Type: jsonschema.Object,
								Properties: map[string]jsonschema.Definition{
									"location": {
										Type:        jsonschema.String,
										Description: "The city and state, e.g. San Francisco, CA",
									},
									"unit": {
										Type: jsonschema.String,
										Enum: []string{"celcius", "fahrenheit"},
									},
								},
								Required: []string{"location"},
							},
						},
					},
				})
			Expect(err).ToNot(HaveOccurred())
			Expect(len(resp2.Choices)).To(Equal(1))
			Expect(resp2.Choices[0].Message.FunctionCall).ToNot(BeNil())
			Expect(resp2.Choices[0].Message.FunctionCall.Name).To(Equal("get_current_weather"), resp2.Choices[0].Message.FunctionCall.Name)

			var res map[string]string
			err = json.Unmarshal([]byte(resp2.Choices[0].Message.FunctionCall.Arguments), &res)
			Expect(err).ToNot(HaveOccurred())
			Expect(res["location"]).To(ContainSubstring("San Francisco"), fmt.Sprint(res))
			Expect(res["unit"]).To(Equal("celcius"), fmt.Sprint(res))
			Expect(string(resp2.Choices[0].FinishReason)).To(Equal("function_call"), fmt.Sprint(resp2.Choices[0].FinishReason))
		})

		It("installs and is capable to run tts", Label("tts"), func() {
			if runtime.GOOS != "linux" {
				Skip("test supported only on linux")
			}

			response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
				ID: "localai@voice-en-us-kathleen-low",
			})

			Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))

			uuid := response["uuid"].(string)

			Eventually(func() bool {
				response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
				fmt.Println(response)
				return response["processed"].(bool)
			}, "360s", "10s").Should(Equal(true))

			// An HTTP Post to the /tts endpoint should return a wav audio file
			resp, err := http.Post("http://127.0.0.1:9090/tts", "application/json", bytes.NewBuffer([]byte(`{"input": "Hello world", "model": "voice-en-us-kathleen-low"}`)))
			Expect(err).ToNot(HaveOccurred(), fmt.Sprint(resp))
			dat, err := io.ReadAll(resp.Body)
			Expect(err).ToNot(HaveOccurred(), fmt.Sprint(resp))

			Expect(resp.StatusCode).To(Equal(200), fmt.Sprint(string(dat)))
			Expect(resp.Header.Get("Content-Type")).To(Or(Equal("audio/x-wav"), Equal("audio/wav"), Equal("audio/vnd.wave")))
		})
		It("installs and is capable to generate images", Label("stablediffusion"), func() {
			if runtime.GOOS != "linux" {
				Skip("test supported only on linux")
			}

			response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
				ID:   "localai@sd-1.5-ggml",
				Name: "stablediffusion",
			})

			Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))

			uuid := response["uuid"].(string)

			Eventually(func() bool {
				response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
				fmt.Println(response)
				return response["processed"].(bool)
			}, "1200s", "10s").Should(Equal(true))

			resp, err := http.Post(
				"http://127.0.0.1:9090/v1/images/generations",
				"application/json",
				bytes.NewBuffer([]byte(`{
					 			"prompt": "a lovely cat",
								"step": 1,  "seed":9000,
					 			"size": "256x256", "n":2}`)))
			// The response should contain an URL
			Expect(err).ToNot(HaveOccurred(), fmt.Sprint(resp))
			dat, err := io.ReadAll(resp.Body)
			Expect(err).ToNot(HaveOccurred(), "error reading /image/generations response")

			imgUrlResp := &schema.OpenAIResponse{}
			err = json.Unmarshal(dat, imgUrlResp)
			Expect(err).ToNot(HaveOccurred(), fmt.Sprint(dat))
			Expect(imgUrlResp.Data).ToNot(Or(BeNil(), BeZero()))
			imgUrl := imgUrlResp.Data[0].URL
			Expect(imgUrl).To(ContainSubstring("http://127.0.0.1:9090/"), imgUrl)
			Expect(imgUrl).To(ContainSubstring(".png"), imgUrl)

			imgResp, err := http.Get(imgUrl)
			Expect(err).To(BeNil())
			Expect(imgResp).ToNot(BeNil())
			Expect(imgResp.StatusCode).To(Equal(200))
			Expect(imgResp.ContentLength).To(BeNumerically(">", 0))
			imgData := make([]byte, 512)
			count, err := io.ReadFull(imgResp.Body, imgData)
			Expect(err).To(Or(BeNil(), MatchError(io.EOF)))
			Expect(count).To(BeNumerically(">", 0))
			Expect(count).To(BeNumerically("<=", 512))
			Expect(http.DetectContentType(imgData)).To(Equal("image/png"))
		})
	})

	Context("API query", func() {
		BeforeEach(func() {
			modelPath := os.Getenv("MODELS_PATH")
			backendPath := os.Getenv("BACKENDS_PATH")
			c, cancel = context.WithCancel(context.Background())

			var err error

			systemState, err := system.GetSystemState(
				system.WithBackendPath(backendPath),
				system.WithModelPath(modelPath),
			)
			Expect(err).ToNot(HaveOccurred())

			application, err := application.New(
				append(commonOpts,
					config.WithExternalBackend("transformers", os.Getenv("HUGGINGFACE_GRPC")),
					config.WithContext(c),
					config.WithSystemState(systemState),
				)...)
			Expect(err).ToNot(HaveOccurred())
			app, err = API(application)
			Expect(err).ToNot(HaveOccurred())
			go func() {
				if err := app.Start("127.0.0.1:9090"); err != nil && err != http.ErrServerClosed {
					xlog.Error("server error", "error", err)
				}
			}()

			defaultConfig := openai.DefaultConfig("")
			defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"

			client2 = openaigo.NewClient("")
			client2.BaseURL = defaultConfig.BaseURL

			// Wait for API to be ready
			client = openai.NewClientWithConfig(defaultConfig)
			Eventually(func() error {
				_, err := client.ListModels(context.TODO())
				return err
			}, "2m").ShouldNot(HaveOccurred())
		})
		AfterEach(func() {
			cancel()
			if app != nil {
				ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
				defer cancel()
				err := app.Shutdown(ctx)
				Expect(err).ToNot(HaveOccurred())
			}
		})
		It("returns the models list", func() {
			models, err := client.ListModels(context.TODO())
			Expect(err).ToNot(HaveOccurred())
			Expect(len(models.Models)).To(Equal(7)) // If "config.yaml" should be included, this should be 8?
		})
		It("can generate completions via ggml", func() {
			if runtime.GOOS != "linux" {
				Skip("test supported only on linux")
			}
			resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "testmodel.ggml", Prompt: testPrompt})
			Expect(err).ToNot(HaveOccurred())
			Expect(len(resp.Choices)).To(Equal(1))
			Expect(resp.Choices[0].Text).ToNot(BeEmpty())
		})

		It("can generate chat completions via ggml", func() {
			if runtime.GOOS != "linux" {
				Skip("test supported only on linux")
			}
			resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "testmodel.ggml", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: testPrompt}}})
			Expect(err).ToNot(HaveOccurred())
			Expect(len(resp.Choices)).To(Equal(1))
			Expect(resp.Choices[0].Message.Content).ToNot(BeEmpty())
		})

		It("returns logprobs in chat completions when requested", func() {
			if runtime.GOOS != "linux" {
				Skip("test only on linux")
			}
			topLogprobsVal := 3
			response, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{
				Model:       "testmodel.ggml",
				LogProbs:    true,
				TopLogProbs: topLogprobsVal,
				Messages:    []openai.ChatCompletionMessage{{Role: "user", Content: testPrompt}}})
			Expect(err).ToNot(HaveOccurred())

			Expect(len(response.Choices)).To(Equal(1))
			Expect(response.Choices[0].Message).ToNot(BeNil())
			Expect(response.Choices[0].Message.Content).ToNot(BeEmpty())

			// Verify logprobs are present and have correct structure
			Expect(response.Choices[0].LogProbs).ToNot(BeNil())
			Expect(response.Choices[0].LogProbs.Content).ToNot(BeEmpty())

			Expect(len(response.Choices[0].LogProbs.Content)).To(BeNumerically(">", 1))

			foundatLeastToken := ""
			foundAtLeastBytes := []byte{}
			foundAtLeastTopLogprobBytes := []byte{}
			foundatLeastTopLogprob := ""
			// Verify logprobs content structure matches OpenAI format
			for _, logprobContent := range response.Choices[0].LogProbs.Content {
				// Bytes can be empty for certain tokens (special tokens, etc.), so we don't require it
				if len(logprobContent.Bytes) > 0 {
					foundAtLeastBytes = logprobContent.Bytes
				}
				if len(logprobContent.Token) > 0 {
					foundatLeastToken = logprobContent.Token
				}
				Expect(logprobContent.LogProb).To(BeNumerically("<=", 0)) // Logprobs are always <= 0
				Expect(len(logprobContent.TopLogProbs)).To(BeNumerically(">", 1))

				// If top_logprobs is requested, verify top_logprobs array respects the limit
				if len(logprobContent.TopLogProbs) > 0 {
					// Should respect top_logprobs limit (3 in this test)
					Expect(len(logprobContent.TopLogProbs)).To(BeNumerically("<=", topLogprobsVal))
					for _, topLogprob := range logprobContent.TopLogProbs {
						if len(topLogprob.Bytes) > 0 {
							foundAtLeastTopLogprobBytes = topLogprob.Bytes
						}
						if len(topLogprob.Token) > 0 {
							foundatLeastTopLogprob = topLogprob.Token
						}
						Expect(topLogprob.LogProb).To(BeNumerically("<=", 0))
					}
				}
			}

			Expect(foundAtLeastBytes).ToNot(BeEmpty())
			Expect(foundAtLeastTopLogprobBytes).ToNot(BeEmpty())
			Expect(foundatLeastToken).ToNot(BeEmpty())
			Expect(foundatLeastTopLogprob).ToNot(BeEmpty())
		})

		It("applies logit_bias to chat completions when requested", func() {
			if runtime.GOOS != "linux" {
				Skip("test only on linux")
			}
			// logit_bias is a map of token IDs (as strings) to bias values (-100 to 100)
			// According to OpenAI API: modifies the likelihood of specified tokens appearing in the completion
			logitBias := map[string]int{
				"15043": 1, // Bias token ID 15043 (example token ID) with bias value 1
			}
			response, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{
				Model:     "testmodel.ggml",
				Messages:  []openai.ChatCompletionMessage{{Role: "user", Content: testPrompt}},
				LogitBias: logitBias,
			})
			Expect(err).ToNot(HaveOccurred())
			Expect(len(response.Choices)).To(Equal(1))
			Expect(response.Choices[0].Message).ToNot(BeNil())
			Expect(response.Choices[0].Message.Content).ToNot(BeEmpty())
			// If logit_bias is applied, the response should be generated successfully
			// We can't easily verify the bias effect without knowing the actual token IDs for the model,
			// but the fact that the request succeeds confirms the API accepts and processes logit_bias
		})

		It("returns errors", func() {
			_, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "foomodel", Prompt: testPrompt})
			Expect(err).To(HaveOccurred())
			Expect(err.Error()).To(ContainSubstring("error, status code: 500, status: 500 Internal Server Error, message: could not load model - all backends returned error:"))
		})

		It("shows the external backend", func() {
			// Only run on linux
			if runtime.GOOS != "linux" {
				Skip("test supported only on linux")
			}
			// do an http request to the /system endpoint
			resp, err := http.Get("http://127.0.0.1:9090/system")
			Expect(err).ToNot(HaveOccurred())
			Expect(resp.StatusCode).To(Equal(200))
			dat, err := io.ReadAll(resp.Body)
			Expect(err).ToNot(HaveOccurred())
			Expect(string(dat)).To(ContainSubstring("huggingface"))
			Expect(string(dat)).To(ContainSubstring("llama-cpp"))
		})

		It("transcribes audio", func() {
			if runtime.GOOS != "linux" {
				Skip("test supported only on linux")
			}
			resp, err := client.CreateTranscription(
				context.Background(),
				openai.AudioRequest{
					Model:    openai.Whisper1,
					FilePath: filepath.Join(os.Getenv("TEST_DIR"), "audio.wav"),
				},
			)
			Expect(err).ToNot(HaveOccurred())
			Expect(resp.Text).To(ContainSubstring("This is the Micro Machine Man presenting"))
		})

		It("calculate embeddings", func() {
			if runtime.GOOS != "linux" {
				Skip("test supported only on linux")
			}
			embeddingModel := openai.AdaEmbeddingV2
			resp, err := client.CreateEmbeddings(
				context.Background(),
				openai.EmbeddingRequest{
					Model: embeddingModel,
					Input: []string{"sun", "cat"},
				},
			)
			Expect(err).ToNot(HaveOccurred(), err)
			Expect(len(resp.Data[0].Embedding)).To(BeNumerically("==", 4096))
			Expect(len(resp.Data[1].Embedding)).To(BeNumerically("==", 4096))

			sunEmbedding := resp.Data[0].Embedding
			resp2, err := client.CreateEmbeddings(
				context.Background(),
				openai.EmbeddingRequest{
					Model: embeddingModel,
					Input: []string{"sun"},
				},
			)
			Expect(err).ToNot(HaveOccurred())
			Expect(resp2.Data[0].Embedding).To(Equal(sunEmbedding))
			Expect(resp2.Data[0].Embedding).ToNot(Equal(resp.Data[1].Embedding))

			resp3, err := client.CreateEmbeddings(
				context.Background(),
				openai.EmbeddingRequest{
					Model: embeddingModel,
					Input: []string{"cat"},
				},
			)
			Expect(err).ToNot(HaveOccurred())
			Expect(resp3.Data[0].Embedding).To(Equal(resp.Data[1].Embedding))
			Expect(resp3.Data[0].Embedding).ToNot(Equal(sunEmbedding))
		})

		Context("External gRPC calls", func() {
			It("calculate embeddings with sentencetransformers", func() {
				if runtime.GOOS != "linux" {
					Skip("test supported only on linux")
				}
				resp, err := client.CreateEmbeddings(
					context.Background(),
					openai.EmbeddingRequest{
						Model: openai.AdaCodeSearchCode,
						Input: []string{"sun", "cat"},
					},
				)
				Expect(err).ToNot(HaveOccurred())
				Expect(len(resp.Data[0].Embedding)).To(BeNumerically("==", 384))
				Expect(len(resp.Data[1].Embedding)).To(BeNumerically("==", 384))

				sunEmbedding := resp.Data[0].Embedding
				resp2, err := client.CreateEmbeddings(
					context.Background(),
					openai.EmbeddingRequest{
						Model: openai.AdaCodeSearchCode,
						Input: []string{"sun"},
					},
				)
				Expect(err).ToNot(HaveOccurred())
				Expect(resp2.Data[0].Embedding).To(Equal(sunEmbedding))
				Expect(resp2.Data[0].Embedding).ToNot(Equal(resp.Data[1].Embedding))
			})
		})

		// See tests/integration/stores_test
		Context("Stores", Label("stores"), func() {

			BeforeEach(func() {
				// Only run on linux
				if runtime.GOOS != "linux" {
					Skip("test supported only on linux")
				}
			})

			It("sets, gets, finds and deletes entries", func() {
				ks := [][]float32{
					{0.1, 0.2, 0.3},
					{0.4, 0.5, 0.6},
					{0.7, 0.8, 0.9},
				}
				vs := []string{
					"test1",
					"test2",
					"test3",
				}
				setBody := schema.StoresSet{
					Keys:   ks,
					Values: vs,
				}

				url := "http://127.0.0.1:9090/stores/"
				err := postRequestJSON(url+"set", &setBody)
				Expect(err).ToNot(HaveOccurred())

				getBody := schema.StoresGet{
					Keys: ks,
				}
				var getRespBody schema.StoresGetResponse
				err = postRequestResponseJSON(url+"get", &getBody, &getRespBody)
				Expect(err).ToNot(HaveOccurred())
				Expect(len(getRespBody.Keys)).To(Equal(len(ks)))

				for i, v := range getRespBody.Keys {
					if v[0] == 0.1 {
						Expect(getRespBody.Values[i]).To(Equal("test1"))
					} else if v[0] == 0.4 {
						Expect(getRespBody.Values[i]).To(Equal("test2"))
					} else {
						Expect(getRespBody.Values[i]).To(Equal("test3"))
					}
				}

				deleteBody := schema.StoresDelete{
					Keys: [][]float32{
						{0.1, 0.2, 0.3},
					},
				}
				err = postRequestJSON(url+"delete", &deleteBody)
				Expect(err).ToNot(HaveOccurred())

				findBody := schema.StoresFind{
					Key:  []float32{0.1, 0.3, 0.7},
					Topk: 10,
				}

				var findRespBody schema.StoresFindResponse
				err = postRequestResponseJSON(url+"find", &findBody, &findRespBody)
				Expect(err).ToNot(HaveOccurred())
				Expect(len(findRespBody.Keys)).To(Equal(2))

				for i, v := range findRespBody.Keys {
					if v[0] == 0.4 {
						Expect(findRespBody.Values[i]).To(Equal("test2"))
					} else {
						Expect(findRespBody.Values[i]).To(Equal("test3"))
					}

					Expect(findRespBody.Similarities[i]).To(BeNumerically(">=", -1))
					Expect(findRespBody.Similarities[i]).To(BeNumerically("<=", 1))
				}
			})

			Context("Agent Jobs", Label("agent-jobs"), func() {
				It("creates and manages tasks", func() {
					// Create a task
					taskBody := map[string]interface{}{
						"name":        "Test Task",
						"description": "Test Description",
						"model":       "testmodel.ggml",
						"prompt":      "Hello {{.name}}",
						"enabled":     true,
					}

					var createResp map[string]interface{}
					err := postRequestResponseJSON("http://127.0.0.1:9090/api/agent/tasks", &taskBody, &createResp)
					Expect(err).ToNot(HaveOccurred())
					Expect(createResp["id"]).ToNot(BeEmpty())
					taskID := createResp["id"].(string)

					// Get the task
					var task schema.Task
					resp, err := http.Get("http://127.0.0.1:9090/api/agent/tasks/" + taskID)
					Expect(err).ToNot(HaveOccurred())
					Expect(resp.StatusCode).To(Equal(200))
					body, _ := io.ReadAll(resp.Body)
					json.Unmarshal(body, &task)
					Expect(task.Name).To(Equal("Test Task"))

					// List tasks
					resp, err = http.Get("http://127.0.0.1:9090/api/agent/tasks")
					Expect(err).ToNot(HaveOccurred())
					Expect(resp.StatusCode).To(Equal(200))
					var tasks []schema.Task
					body, _ = io.ReadAll(resp.Body)
					json.Unmarshal(body, &tasks)
					Expect(len(tasks)).To(BeNumerically(">=", 1))

					// Update task
					taskBody["name"] = "Updated Task"
					err = putRequestJSON("http://127.0.0.1:9090/api/agent/tasks/"+taskID, &taskBody)
					Expect(err).ToNot(HaveOccurred())

					// Verify update
					resp, err = http.Get("http://127.0.0.1:9090/api/agent/tasks/" + taskID)
					Expect(err).ToNot(HaveOccurred())
					body, _ = io.ReadAll(resp.Body)
					json.Unmarshal(body, &task)
					Expect(task.Name).To(Equal("Updated Task"))

					// Delete task
					req, _ := http.NewRequest("DELETE", "http://127.0.0.1:9090/api/agent/tasks/"+taskID, nil)
					req.Header.Set("Authorization", bearerKey)
					resp, err = http.DefaultClient.Do(req)
					Expect(err).ToNot(HaveOccurred())
					Expect(resp.StatusCode).To(Equal(200))
				})

				It("executes and monitors jobs", func() {
					// Create a task first
					taskBody := map[string]interface{}{
						"name":    "Job Test Task",
						"model":   "testmodel.ggml",
						"prompt":  "Say hello",
						"enabled": true,
					}

					var createResp map[string]interface{}
					err := postRequestResponseJSON("http://127.0.0.1:9090/api/agent/tasks", &taskBody, &createResp)
					Expect(err).ToNot(HaveOccurred())
					taskID := createResp["id"].(string)

					// Execute a job
					jobBody := map[string]interface{}{
						"task_id":    taskID,
						"parameters": map[string]string{},
					}

					var jobResp schema.JobExecutionResponse
					err = postRequestResponseJSON("http://127.0.0.1:9090/api/agent/jobs/execute", &jobBody, &jobResp)
					Expect(err).ToNot(HaveOccurred())
					Expect(jobResp.JobID).ToNot(BeEmpty())
					jobID := jobResp.JobID

					// Get job status
					var job schema.Job
					resp, err := http.Get("http://127.0.0.1:9090/api/agent/jobs/" + jobID)
					Expect(err).ToNot(HaveOccurred())
					Expect(resp.StatusCode).To(Equal(200))
					body, _ := io.ReadAll(resp.Body)
					json.Unmarshal(body, &job)
					Expect(job.ID).To(Equal(jobID))
					Expect(job.TaskID).To(Equal(taskID))

					// List jobs
					resp, err = http.Get("http://127.0.0.1:9090/api/agent/jobs")
					Expect(err).ToNot(HaveOccurred())
					Expect(resp.StatusCode).To(Equal(200))
					var jobs []schema.Job
					body, _ = io.ReadAll(resp.Body)
					json.Unmarshal(body, &jobs)
					Expect(len(jobs)).To(BeNumerically(">=", 1))

					// Cancel job (if still pending/running)
					if job.Status == schema.JobStatusPending || job.Status == schema.JobStatusRunning {
						req, _ := http.NewRequest("POST", "http://127.0.0.1:9090/api/agent/jobs/"+jobID+"/cancel", nil)
						req.Header.Set("Authorization", bearerKey)
						resp, err = http.DefaultClient.Do(req)
						Expect(err).ToNot(HaveOccurred())
						Expect(resp.StatusCode).To(Equal(200))
					}
				})

				It("executes task by name", func() {
					// Create a task with a specific name
					taskBody := map[string]interface{}{
						"name":    "Named Task",
						"model":   "testmodel.ggml",
						"prompt":  "Hello",
						"enabled": true,
					}

					var createResp map[string]interface{}
					err := postRequestResponseJSON("http://127.0.0.1:9090/api/agent/tasks", &taskBody, &createResp)
					Expect(err).ToNot(HaveOccurred())

					// Execute by name
					paramsBody := map[string]string{"param1": "value1"}
					var jobResp schema.JobExecutionResponse
					err = postRequestResponseJSON("http://127.0.0.1:9090/api/agent/tasks/Named Task/execute", &paramsBody, &jobResp)
					Expect(err).ToNot(HaveOccurred())
					Expect(jobResp.JobID).ToNot(BeEmpty())
				})
			})
		})
	})

	Context("Config file", func() {
		BeforeEach(func() {
			if runtime.GOOS != "linux" {
				Skip("run this test only on linux")
			}
			modelPath := os.Getenv("MODELS_PATH")
			backendPath := os.Getenv("BACKENDS_PATH")
			c, cancel = context.WithCancel(context.Background())

			var err error

			systemState, err := system.GetSystemState(
				system.WithBackendPath(backendPath),
				system.WithModelPath(modelPath),
			)
			Expect(err).ToNot(HaveOccurred())

			application, err := application.New(
				append(commonOpts,
					config.WithContext(c),
					config.WithSystemState(systemState),
					config.WithConfigFile(os.Getenv("CONFIG_FILE")))...,
			)
			Expect(err).ToNot(HaveOccurred())
			app, err = API(application)
			Expect(err).ToNot(HaveOccurred())

			go func() {
				if err := app.Start("127.0.0.1:9090"); err != nil && err != http.ErrServerClosed {
					xlog.Error("server error", "error", err)
				}
			}()

			defaultConfig := openai.DefaultConfig("")
			defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"
			client2 = openaigo.NewClient("")
			client2.BaseURL = defaultConfig.BaseURL
			// Wait for API to be ready
			client = openai.NewClientWithConfig(defaultConfig)
			Eventually(func() error {
				_, err := client.ListModels(context.TODO())
				return err
			}, "2m").ShouldNot(HaveOccurred())
		})
		AfterEach(func() {
			cancel()
			if app != nil {
				ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
				defer cancel()
				err := app.Shutdown(ctx)
				Expect(err).ToNot(HaveOccurred())
			}
		})
		It("can generate chat completions from config file (list1)", func() {
			resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "list1", Messages: []openai.ChatCompletionMessage{{Role: "user", Content: testPrompt}}})
			Expect(err).ToNot(HaveOccurred())
			Expect(len(resp.Choices)).To(Equal(1))
			Expect(resp.Choices[0].Message.Content).ToNot(BeEmpty())
		})
		It("can generate chat completions from config file (list2)", func() {
			resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "list2", Messages: []openai.ChatCompletionMessage{{Role: "user", Content: testPrompt}}})
			Expect(err).ToNot(HaveOccurred())
			Expect(len(resp.Choices)).To(Equal(1))
			Expect(resp.Choices[0].Message.Content).ToNot(BeEmpty())
		})
		It("can generate edit completions from config file", func() {
			request := openaigo.EditCreateRequestBody{
				Model:       "list2",
				Instruction: "foo",
				Input:       "bar",
			}
			resp, err := client2.CreateEdit(context.Background(), request)
			Expect(err).ToNot(HaveOccurred())
			Expect(len(resp.Choices)).To(Equal(1))
			Expect(resp.Choices[0].Text).ToNot(BeEmpty())
		})

	})
})