Initialize module and dependencies

vendor/github.com/sashabaranov/go-openai/.codecov.yml

@@ -0,0 +1,4 @@
+coverage:
+  ignore:
+    - "examples/**"
+    - "internal/test/**"

vendor/github.com/sashabaranov/go-openai/.gitignore

@@ -0,0 +1,22 @@
+# Binaries for programs and plugins
+*.exe
+*.exe~
+*.dll
+*.so
+*.dylib
+
+# Test binary, built with `go test -c`
+*.test
+
+# Output of the go coverage tool, specifically when used with LiteIDE
+*.out
+
+# Dependency directories (remove the comment below to include it)
+# vendor/
+
+# Auth token for tests
+.openai-token
+.idea
+
+# Generated by tests
+test.mp3

vendor/github.com/sashabaranov/go-openai/.golangci.yml

@@ -0,0 +1,168 @@
+version: "2"
+linters:
+  default: none
+  enable:
+    - asciicheck
+    - bidichk
+    - bodyclose
+    - contextcheck
+    - cyclop
+    - dupl
+    - durationcheck
+    - errcheck
+    - errname
+    - errorlint
+    - exhaustive
+    - forbidigo
+    - funlen
+    - gochecknoinits
+    - gocognit
+    - goconst
+    - gocritic
+    - gocyclo
+    - godot
+    - gomoddirectives
+    - gomodguard
+    - goprintffuncname
+    - gosec
+    - govet
+    - ineffassign
+    - lll
+    - makezero
+    - mnd
+    - nestif
+    - nilerr
+    - nilnil
+    - nolintlint
+    - nosprintfhostport
+    - predeclared
+    - promlinter
+    - revive
+    - rowserrcheck
+    - sqlclosecheck
+    - staticcheck
+    - testpackage
+    - tparallel
+    - unconvert
+    - unparam
+    - unused
+    - usetesting
+    - wastedassign
+    - whitespace
+  settings:
+    cyclop:
+      max-complexity: 30
+      package-average: 10
+    errcheck:
+      check-type-assertions: true
+    funlen:
+      lines: 100
+      statements: 50
+    gocognit:
+      min-complexity: 20
+    gocritic:
+      settings:
+        captLocal:
+          paramsOnly: false
+        underef:
+          skipRecvDeref: false
+    gomodguard:
+      blocked:
+        modules:
+          - github.com/golang/protobuf:
+              recommendations:
+                - google.golang.org/protobuf
+              reason: see https://developers.google.com/protocol-buffers/docs/reference/go/faq#modules
+          - github.com/satori/go.uuid:
+              recommendations:
+                - github.com/google/uuid
+              reason: satori's package is not maintained
+          - github.com/gofrs/uuid:
+              recommendations:
+                - github.com/google/uuid
+              reason: 'see recommendation from dev-infra team: https://confluence.gtforge.com/x/gQI6Aw'
+    govet:
+      disable:
+        - fieldalignment
+      enable-all: true
+      settings:
+        shadow:
+          strict: true
+    mnd:
+      ignored-functions:
+        - os.Chmod
+        - os.Mkdir
+        - os.MkdirAll
+        - os.OpenFile
+        - os.WriteFile
+        - prometheus.ExponentialBuckets
+        - prometheus.ExponentialBucketsRange
+        - prometheus.LinearBuckets
+        - strconv.FormatFloat
+        - strconv.FormatInt
+        - strconv.FormatUint
+        - strconv.ParseFloat
+        - strconv.ParseInt
+        - strconv.ParseUint
+    nakedret:
+      max-func-lines: 0
+    nolintlint:
+      require-explanation: true
+      require-specific: true
+      allow-no-explanation:
+        - funlen
+        - gocognit
+        - lll
+    rowserrcheck:
+      packages:
+        - github.com/jmoiron/sqlx
+  exclusions:
+    generated: lax
+    presets:
+      - comments
+      - common-false-positives
+      - legacy
+      - std-error-handling
+    rules:
+      - linters:
+          - forbidigo
+          - mnd
+          - revive
+        path : ^examples/.*\.go$
+      - linters:
+          - lll
+        source: ^//\s*go:generate\s
+      - linters:
+          - godot
+        source: (noinspection|TODO)
+      - linters:
+          - gocritic
+        source: //noinspection
+      - linters:
+          - errorlint
+        source: ^\s+if _, ok := err\.\([^.]+\.InternalError\); ok {
+      - linters:
+          - bodyclose
+          - dupl
+          - funlen
+          - goconst
+          - gosec
+          - noctx
+          - wrapcheck
+          - staticcheck
+        path: _test\.go
+    paths:
+      - third_party$
+      - builtin$
+      - examples$
+issues:
+  max-same-issues: 50
+formatters:
+  enable:
+    - goimports
+  exclusions:
+    generated: lax
+    paths:
+      - third_party$
+      - builtin$
+      - examples$

vendor/github.com/sashabaranov/go-openai/CONTRIBUTING.md

@@ -0,0 +1,88 @@
+# Contributing Guidelines
+
+## Overview
+Thank you for your interest in contributing to the "Go OpenAI" project! By following this guideline, we hope to ensure that your contributions are made smoothly and efficiently. The Go OpenAI project is licensed under the [Apache 2.0 License](https://github.com/sashabaranov/go-openai/blob/master/LICENSE), and we welcome contributions through GitHub pull requests.
+
+## Reporting Bugs
+If you discover a bug, first check the [GitHub Issues page](https://github.com/sashabaranov/go-openai/issues) to see if the issue has already been reported. If you're reporting a new issue, please use the "Bug report" template and provide detailed information about the problem, including steps to reproduce it.
+
+## Suggesting Features
+If you want to suggest a new feature or improvement, first check the [GitHub Issues page](https://github.com/sashabaranov/go-openai/issues) to ensure a similar suggestion hasn't already been made. Use the "Feature request" template to provide a detailed description of your suggestion.
+
+## Reporting Vulnerabilities
+If you identify a security concern, please use the "Report a security vulnerability" template on the [GitHub Issues page](https://github.com/sashabaranov/go-openai/issues) to share the details. This report will only be viewable to repository maintainers. You will be credited if the advisory is published.
+
+## Questions for Users
+If you have questions, please utilize [StackOverflow](https://stackoverflow.com/) or the [GitHub Discussions page](https://github.com/sashabaranov/go-openai/discussions).
+
+## Contributing Code
+There might already be a similar pull requests submitted! Please search for [pull requests](https://github.com/sashabaranov/go-openai/pulls) before creating one.
+
+### Requirements for Merging a Pull Request
+
+The requirements to accept a pull request are as follows:
+
+- Features not provided by the OpenAI API will not be accepted.
+- The functionality of the feature must match that of the official OpenAI API.
+- All pull requests should be written in Go according to common conventions, formatted with `goimports`, and free of warnings from tools like `golangci-lint`.
+- Include tests and ensure all tests pass.
+- Maintain test coverage without any reduction.
+- All pull requests require approval from at least one Go OpenAI maintainer.
+
+**Note:**  
+The merging method for pull requests in this repository is squash merge.
+
+### Creating a Pull Request
+- Fork the repository.
+- Create a new branch and commit your changes.
+- Push that branch to GitHub.
+- Start a new Pull Request on GitHub. (Please use the pull request template to provide detailed information.)
+
+**Note:**  
+If your changes introduce breaking changes, please prefix your pull request title with "[BREAKING_CHANGES]".
+
+### Code Style
+In this project, we adhere to the standard coding style of Go. Your code should maintain consistency with the rest of the codebase. To achieve this, please format your code using tools like `goimports` and resolve any syntax or style issues with `golangci-lint`.
+
+**Run goimports:**
+```
+go install golang.org/x/tools/cmd/goimports@latest
+```
+
+```
+goimports -w .
+```
+
+**Run golangci-lint:**
+```
+go install github.com/golangci/golangci-lint/cmd/golangci-lint@latest
+```
+
+```
+golangci-lint run --out-format=github-actions
+```
+
+### Unit Test
+Please create or update tests relevant to your changes. Ensure all tests run successfully to verify that your modifications do not adversely affect other functionalities.
+
+**Run test:**
+```
+go test -v ./...
+```
+
+### Integration Test
+Integration tests are requested against the production version of the OpenAI API. These tests will verify that the library is properly coded against the actual behavior of the API, and will  fail upon any incompatible change in the API.
+
+**Notes:**
+These tests send real network traffic to the OpenAI API and may reach rate limits. Temporary network problems may also cause the test to fail.
+
+**Run integration test:**
+```
+OPENAI_TOKEN=XXX go test -v -tags=integration ./api_integration_test.go
+```
+
+If the `OPENAI_TOKEN` environment variable is not available, integration tests will be skipped.
+
+---
+
+We wholeheartedly welcome your active participation. Let's build an amazing project together!

vendor/github.com/sashabaranov/go-openai/LICENSE

@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
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+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
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+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
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+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

vendor/github.com/sashabaranov/go-openai/README.md

@@ -0,0 +1,913 @@
+# Go OpenAI
+[![Go Reference](https://pkg.go.dev/badge/github.com/sashabaranov/go-openai.svg)](https://pkg.go.dev/github.com/sashabaranov/go-openai)
+[![Go Report Card](https://goreportcard.com/badge/github.com/sashabaranov/go-openai)](https://goreportcard.com/report/github.com/sashabaranov/go-openai)
+[![codecov](https://codecov.io/gh/sashabaranov/go-openai/branch/master/graph/badge.svg?token=bCbIfHLIsW)](https://codecov.io/gh/sashabaranov/go-openai)
+
+This library provides unofficial Go clients for [OpenAI API](https://platform.openai.com/). We support: 
+
+* ChatGPT 4o, o1
+* GPT-3, GPT-4
+* DALL·E 2, DALL·E 3, GPT Image 1
+* Whisper
+
+## Installation
+
+```
+go get github.com/sashabaranov/go-openai
+```
+Currently, go-openai requires Go version 1.18 or greater.
+
+
+## Usage
+
+### ChatGPT example usage:
+
+```go
+package main
+
+import (
+	"context"
+	"fmt"
+	openai "github.com/sashabaranov/go-openai"
+)
+
+func main() {
+	client := openai.NewClient("your token")
+	resp, err := client.CreateChatCompletion(
+		context.Background(),
+		openai.ChatCompletionRequest{
+			Model: openai.GPT3Dot5Turbo,
+			Messages: []openai.ChatCompletionMessage{
+				{
+					Role:    openai.ChatMessageRoleUser,
+					Content: "Hello!",
+				},
+			},
+		},
+	)
+
+	if err != nil {
+		fmt.Printf("ChatCompletion error: %v\n", err)
+		return
+	}
+
+	fmt.Println(resp.Choices[0].Message.Content)
+}
+
+```
+
+### Getting an OpenAI API Key:
+
+1. Visit the OpenAI website at [https://platform.openai.com/account/api-keys](https://platform.openai.com/account/api-keys).
+2. If you don't have an account, click on "Sign Up" to create one. If you do, click "Log In".
+3. Once logged in, navigate to your API key management page.
+4. Click on "Create new secret key".
+5. Enter a name for your new key, then click "Create secret key".
+6. Your new API key will be displayed. Use this key to interact with the OpenAI API.
+
+**Note:** Your API key is sensitive information. Do not share it with anyone.
+
+### Other examples:
+
+<details>
+<summary>ChatGPT streaming completion</summary>
+
+```go
+package main
+
+import (
+	"context"
+	"errors"
+	"fmt"
+	"io"
+	openai "github.com/sashabaranov/go-openai"
+)
+
+func main() {
+	c := openai.NewClient("your token")
+	ctx := context.Background()
+
+	req := openai.ChatCompletionRequest{
+		Model:     openai.GPT3Dot5Turbo,
+		MaxTokens: 20,
+		Messages: []openai.ChatCompletionMessage{
+			{
+				Role:    openai.ChatMessageRoleUser,
+				Content: "Lorem ipsum",
+			},
+		},
+		Stream: true,
+	}
+	stream, err := c.CreateChatCompletionStream(ctx, req)
+	if err != nil {
+		fmt.Printf("ChatCompletionStream error: %v\n", err)
+		return
+	}
+	defer stream.Close()
+
+	fmt.Printf("Stream response: ")
+	for {
+		response, err := stream.Recv()
+		if errors.Is(err, io.EOF) {
+			fmt.Println("\nStream finished")
+			return
+		}
+
+		if err != nil {
+			fmt.Printf("\nStream error: %v\n", err)
+			return
+		}
+
+		fmt.Printf(response.Choices[0].Delta.Content)
+	}
+}
+```
+</details>
+
+<details>
+<summary>GPT-3 completion</summary>
+
+```go
+package main
+
+import (
+	"context"
+	"fmt"
+	openai "github.com/sashabaranov/go-openai"
+)
+
+func main() {
+	c := openai.NewClient("your token")
+	ctx := context.Background()
+
+	req := openai.CompletionRequest{
+		Model:     openai.GPT3Babbage002,
+		MaxTokens: 5,
+		Prompt:    "Lorem ipsum",
+	}
+	resp, err := c.CreateCompletion(ctx, req)
+	if err != nil {
+		fmt.Printf("Completion error: %v\n", err)
+		return
+	}
+	fmt.Println(resp.Choices[0].Text)
+}
+```
+</details>
+
+<details>
+<summary>GPT-3 streaming completion</summary>
+
+```go
+package main
+
+import (
+	"errors"
+	"context"
+	"fmt"
+	"io"
+	openai "github.com/sashabaranov/go-openai"
+)
+
+func main() {
+	c := openai.NewClient("your token")
+	ctx := context.Background()
+
+	req := openai.CompletionRequest{
+		Model:     openai.GPT3Babbage002,
+		MaxTokens: 5,
+		Prompt:    "Lorem ipsum",
+		Stream:    true,
+	}
+	stream, err := c.CreateCompletionStream(ctx, req)
+	if err != nil {
+		fmt.Printf("CompletionStream error: %v\n", err)
+		return
+	}
+	defer stream.Close()
+
+	for {
+		response, err := stream.Recv()
+		if errors.Is(err, io.EOF) {
+			fmt.Println("Stream finished")
+			return
+		}
+
+		if err != nil {
+			fmt.Printf("Stream error: %v\n", err)
+			return
+		}
+
+
+		fmt.Printf("Stream response: %v\n", response)
+	}
+}
+```
+</details>
+
+<details>
+<summary>Audio Speech-To-Text</summary>
+
+```go
+package main
+
+import (
+	"context"
+	"fmt"
+
+	openai "github.com/sashabaranov/go-openai"
+)
+
+func main() {
+	c := openai.NewClient("your token")
+	ctx := context.Background()
+
+	req := openai.AudioRequest{
+		Model:    openai.Whisper1,
+		FilePath: "recording.mp3",
+	}
+	resp, err := c.CreateTranscription(ctx, req)
+	if err != nil {
+		fmt.Printf("Transcription error: %v\n", err)
+		return
+	}
+	fmt.Println(resp.Text)
+}
+```
+</details>
+
+<details>
+<summary>Audio Captions</summary>
+
+```go
+package main
+
+import (
+	"context"
+	"fmt"
+	"os"
+
+	openai "github.com/sashabaranov/go-openai"
+)
+
+func main() {
+	c := openai.NewClient(os.Getenv("OPENAI_KEY"))
+
+	req := openai.AudioRequest{
+		Model:    openai.Whisper1,
+		FilePath: os.Args[1],
+		Format:   openai.AudioResponseFormatSRT,
+	}
+	resp, err := c.CreateTranscription(context.Background(), req)
+	if err != nil {
+		fmt.Printf("Transcription error: %v\n", err)
+		return
+	}
+	f, err := os.Create(os.Args[1] + ".srt")
+	if err != nil {
+		fmt.Printf("Could not open file: %v\n", err)
+		return
+	}
+	defer f.Close()
+	if _, err := f.WriteString(resp.Text); err != nil {
+		fmt.Printf("Error writing to file: %v\n", err)
+		return
+	}
+}
+```
+</details>
+
+<details>
+<summary>DALL-E 2 image generation</summary>
+
+```go
+package main
+
+import (
+	"bytes"
+	"context"
+	"encoding/base64"
+	"fmt"
+	openai "github.com/sashabaranov/go-openai"
+	"image/png"
+	"os"
+)
+
+func main() {
+	c := openai.NewClient("your token")
+	ctx := context.Background()
+
+	// Sample image by link
+	reqUrl := openai.ImageRequest{
+		Prompt:         "Parrot on a skateboard performs a trick, cartoon style, natural light, high detail",
+		Size:           openai.CreateImageSize256x256,
+		ResponseFormat: openai.CreateImageResponseFormatURL,
+		N:              1,
+	}
+
+	respUrl, err := c.CreateImage(ctx, reqUrl)
+	if err != nil {
+		fmt.Printf("Image creation error: %v\n", err)
+		return
+	}
+	fmt.Println(respUrl.Data[0].URL)
+
+	// Example image as base64
+	reqBase64 := openai.ImageRequest{
+		Prompt:         "Portrait of a humanoid parrot in a classic costume, high detail, realistic light, unreal engine",
+		Size:           openai.CreateImageSize256x256,
+		ResponseFormat: openai.CreateImageResponseFormatB64JSON,
+		N:              1,
+	}
+
+	respBase64, err := c.CreateImage(ctx, reqBase64)
+	if err != nil {
+		fmt.Printf("Image creation error: %v\n", err)
+		return
+	}
+
+	imgBytes, err := base64.StdEncoding.DecodeString(respBase64.Data[0].B64JSON)
+	if err != nil {
+		fmt.Printf("Base64 decode error: %v\n", err)
+		return
+	}
+
+	r := bytes.NewReader(imgBytes)
+	imgData, err := png.Decode(r)
+	if err != nil {
+		fmt.Printf("PNG decode error: %v\n", err)
+		return
+	}
+
+	file, err := os.Create("example.png")
+	if err != nil {
+		fmt.Printf("File creation error: %v\n", err)
+		return
+	}
+	defer file.Close()
+
+	if err := png.Encode(file, imgData); err != nil {
+		fmt.Printf("PNG encode error: %v\n", err)
+		return
+	}
+
+	fmt.Println("The image was saved as example.png")
+}
+
+```
+</details>
+
+<details>
+<summary>GPT Image 1 image generation</summary>
+
+```go
+package main
+
+import (
+	"context"
+	"encoding/base64"
+	"fmt"
+	"os"
+
+	openai "github.com/sashabaranov/go-openai"
+)
+
+func main() {
+	c := openai.NewClient("your token")
+	ctx := context.Background()
+
+	req := openai.ImageRequest{
+		Prompt:            "Parrot on a skateboard performing a trick. Large bold text \"SKATE MASTER\" banner at the bottom of the image. Cartoon style, natural light, high detail, 1:1 aspect ratio.",
+		Background:        openai.CreateImageBackgroundOpaque,
+		Model:             openai.CreateImageModelGptImage1,
+		Size:              openai.CreateImageSize1024x1024,
+		N:                 1,
+		Quality:           openai.CreateImageQualityLow,
+		OutputCompression: 100,
+		OutputFormat:      openai.CreateImageOutputFormatJPEG,
+		// Moderation: 		 openai.CreateImageModerationLow,
+		// User: 					 "",
+	}
+
+	resp, err := c.CreateImage(ctx, req)
+	if err != nil {
+		fmt.Printf("Image creation Image generation with GPT Image 1error: %v\n", err)
+		return
+	}
+
+	fmt.Println("Image Base64:", resp.Data[0].B64JSON)
+
+	// Decode the base64 data
+	imgBytes, err := base64.StdEncoding.DecodeString(resp.Data[0].B64JSON)
+	if err != nil {
+		fmt.Printf("Base64 decode error: %v\n", err)
+		return
+	}
+
+	// Write image to file
+	outputPath := "generated_image.jpg"
+	err = os.WriteFile(outputPath, imgBytes, 0644)
+	if err != nil {
+		fmt.Printf("Failed to write image file: %v\n", err)
+		return
+	}
+
+	fmt.Printf("The image was saved as %s\n", outputPath)
+}
+```
+</details>
+
+<details>
+<summary>Configuring proxy</summary>
+
+```go
+config := openai.DefaultConfig("token")
+proxyUrl, err := url.Parse("http://localhost:{port}")
+if err != nil {
+	panic(err)
+}
+transport := &http.Transport{
+	Proxy: http.ProxyURL(proxyUrl),
+}
+config.HTTPClient = &http.Client{
+	Transport: transport,
+}
+
+c := openai.NewClientWithConfig(config)
+```
+
+See also: https://pkg.go.dev/github.com/sashabaranov/go-openai#ClientConfig
+</details>
+
+<details>
+<summary>ChatGPT support context</summary>
+
+```go
+package main
+
+import (
+	"bufio"
+	"context"
+	"fmt"
+	"os"
+	"strings"
+
+	"github.com/sashabaranov/go-openai"
+)
+
+func main() {
+	client := openai.NewClient("your token")
+	messages := make([]openai.ChatCompletionMessage, 0)
+	reader := bufio.NewReader(os.Stdin)
+	fmt.Println("Conversation")
+	fmt.Println("---------------------")
+
+	for {
+		fmt.Print("-> ")
+		text, _ := reader.ReadString('\n')
+		// convert CRLF to LF
+		text = strings.Replace(text, "\n", "", -1)
+		messages = append(messages, openai.ChatCompletionMessage{
+			Role:    openai.ChatMessageRoleUser,
+			Content: text,
+		})
+
+		resp, err := client.CreateChatCompletion(
+			context.Background(),
+			openai.ChatCompletionRequest{
+				Model:    openai.GPT3Dot5Turbo,
+				Messages: messages,
+			},
+		)
+
+		if err != nil {
+			fmt.Printf("ChatCompletion error: %v\n", err)
+			continue
+		}
+
+		content := resp.Choices[0].Message.Content
+		messages = append(messages, openai.ChatCompletionMessage{
+			Role:    openai.ChatMessageRoleAssistant,
+			Content: content,
+		})
+		fmt.Println(content)
+	}
+}
+```
+</details>
+
+<details>
+<summary>Azure OpenAI ChatGPT</summary>
+
+```go
+package main
+
+import (
+	"context"
+	"fmt"
+
+	openai "github.com/sashabaranov/go-openai"
+)
+
+func main() {
+	config := openai.DefaultAzureConfig("your Azure OpenAI Key", "https://your Azure OpenAI Endpoint")
+	// If you use a deployment name different from the model name, you can customize the AzureModelMapperFunc function
+	// config.AzureModelMapperFunc = func(model string) string {
+	// 	azureModelMapping := map[string]string{
+	// 		"gpt-3.5-turbo": "your gpt-3.5-turbo deployment name",
+	// 	}
+	// 	return azureModelMapping[model]
+	// }
+
+	client := openai.NewClientWithConfig(config)
+	resp, err := client.CreateChatCompletion(
+		context.Background(),
+		openai.ChatCompletionRequest{
+			Model: openai.GPT3Dot5Turbo,
+			Messages: []openai.ChatCompletionMessage{
+				{
+					Role:    openai.ChatMessageRoleUser,
+					Content: "Hello Azure OpenAI!",
+				},
+			},
+		},
+	)
+	if err != nil {
+		fmt.Printf("ChatCompletion error: %v\n", err)
+		return
+	}
+
+	fmt.Println(resp.Choices[0].Message.Content)
+}
+
+```
+</details>
+
+<details>
+<summary>Embedding Semantic Similarity</summary>
+
+```go
+package main
+
+import (
+	"context"
+	"log"
+	openai "github.com/sashabaranov/go-openai"
+
+)
+
+func main() {
+	client := openai.NewClient("your-token")
+
+	// Create an EmbeddingRequest for the user query
+	queryReq := openai.EmbeddingRequest{
+		Input: []string{"How many chucks would a woodchuck chuck"},
+		Model: openai.AdaEmbeddingV2,
+	}
+
+	// Create an embedding for the user query
+	queryResponse, err := client.CreateEmbeddings(context.Background(), queryReq)
+	if err != nil {
+		log.Fatal("Error creating query embedding:", err)
+	}
+
+	// Create an EmbeddingRequest for the target text
+	targetReq := openai.EmbeddingRequest{
+		Input: []string{"How many chucks would a woodchuck chuck if the woodchuck could chuck wood"},
+		Model: openai.AdaEmbeddingV2,
+	}
+
+	// Create an embedding for the target text
+	targetResponse, err := client.CreateEmbeddings(context.Background(), targetReq)
+	if err != nil {
+		log.Fatal("Error creating target embedding:", err)
+	}
+
+	// Now that we have the embeddings for the user query and the target text, we
+	// can calculate their similarity.
+	queryEmbedding := queryResponse.Data[0]
+	targetEmbedding := targetResponse.Data[0]
+
+	similarity, err := queryEmbedding.DotProduct(&targetEmbedding)
+	if err != nil {
+		log.Fatal("Error calculating dot product:", err)
+	}
+
+	log.Printf("The similarity score between the query and the target is %f", similarity)
+}
+
+```
+</details>
+
+<details>
+<summary>Azure OpenAI Embeddings</summary>
+
+```go
+package main
+
+import (
+	"context"
+	"fmt"
+
+	openai "github.com/sashabaranov/go-openai"
+)
+
+func main() {
+
+	config := openai.DefaultAzureConfig("your Azure OpenAI Key", "https://your Azure OpenAI Endpoint")
+	config.APIVersion = "2023-05-15" // optional update to latest API version
+
+	//If you use a deployment name different from the model name, you can customize the AzureModelMapperFunc function
+	//config.AzureModelMapperFunc = func(model string) string {
+	//    azureModelMapping := map[string]string{
+	//        "gpt-3.5-turbo":"your gpt-3.5-turbo deployment name",
+	//    }
+	//    return azureModelMapping[model]
+	//}
+
+	input := "Text to vectorize"
+
+	client := openai.NewClientWithConfig(config)
+	resp, err := client.CreateEmbeddings(
+		context.Background(),
+		openai.EmbeddingRequest{
+			Input: []string{input},
+			Model: openai.AdaEmbeddingV2,
+		})
+
+	if err != nil {
+		fmt.Printf("CreateEmbeddings error: %v\n", err)
+		return
+	}
+
+	vectors := resp.Data[0].Embedding // []float32 with 1536 dimensions
+
+	fmt.Println(vectors[:10], "...", vectors[len(vectors)-10:])
+}
+```
+</details>
+
+<details>
+<summary>JSON Schema for function calling</summary>
+
+It is now possible for chat completion to choose to call a function for more information ([see developer docs here](https://platform.openai.com/docs/guides/gpt/function-calling)).
+
+In order to describe the type of functions that can be called, a JSON schema must be provided. Many JSON schema libraries exist and are more advanced than what we can offer in this library, however we have included a simple `jsonschema` package for those who want to use this feature without formatting their own JSON schema payload.
+
+The developer documents give this JSON schema definition as an example:
+
+```json
+{
+  "name":"get_current_weather",
+  "description":"Get the current weather in a given location",
+  "parameters":{
+    "type":"object",
+    "properties":{
+        "location":{
+          "type":"string",
+          "description":"The city and state, e.g. San Francisco, CA"
+        },
+        "unit":{
+          "type":"string",
+          "enum":[
+              "celsius",
+              "fahrenheit"
+          ]
+        }
+    },
+    "required":[
+        "location"
+    ]
+  }
+}
+```
+
+Using the `jsonschema` package, this schema could be created using structs as such:
+
+```go
+FunctionDefinition{
+  Name: "get_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{"celsius", "fahrenheit"},
+      },
+    },
+    Required: []string{"location"},
+  },
+}
+```
+
+The `Parameters` field of a `FunctionDefinition` can accept either of the above styles, or even a nested struct from another library (as long as it can be marshalled into JSON).
+</details>
+
+<details>
+<summary>Error handling</summary>
+
+Open-AI maintains clear documentation on how to [handle API errors](https://platform.openai.com/docs/guides/error-codes/api-errors)
+
+example:
+```
+e := &openai.APIError{}
+if errors.As(err, &e) {
+  switch e.HTTPStatusCode {
+    case 401:
+      // invalid auth or key (do not retry)
+    case 429:
+      // rate limiting or engine overload (wait and retry) 
+    case 500:
+      // openai server error (retry)
+    default:
+      // unhandled
+  }
+}
+
+```
+</details>
+
+<details>
+<summary>Fine Tune Model</summary>
+
+```go
+package main
+
+import (
+	"context"
+	"fmt"
+	"github.com/sashabaranov/go-openai"
+)
+
+func main() {
+	client := openai.NewClient("your token")
+	ctx := context.Background()
+
+	// create a .jsonl file with your training data for conversational model
+	// {"prompt": "<prompt text>", "completion": "<ideal generated text>"}
+	// {"prompt": "<prompt text>", "completion": "<ideal generated text>"}
+	// {"prompt": "<prompt text>", "completion": "<ideal generated text>"}
+
+	// chat models are trained using the following file format:
+	// {"messages": [{"role": "system", "content": "Marv is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "What's the capital of France?"}, {"role": "assistant", "content": "Paris, as if everyone doesn't know that already."}]}
+	// {"messages": [{"role": "system", "content": "Marv is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "Who wrote 'Romeo and Juliet'?"}, {"role": "assistant", "content": "Oh, just some guy named William Shakespeare. Ever heard of him?"}]}
+	// {"messages": [{"role": "system", "content": "Marv is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "How far is the Moon from Earth?"}, {"role": "assistant", "content": "Around 384,400 kilometers. Give or take a few, like that really matters."}]}
+
+	// you can use openai cli tool to validate the data
+	// For more info - https://platform.openai.com/docs/guides/fine-tuning
+
+	file, err := client.CreateFile(ctx, openai.FileRequest{
+		FilePath: "training_prepared.jsonl",
+		Purpose:  "fine-tune",
+	})
+	if err != nil {
+		fmt.Printf("Upload JSONL file error: %v\n", err)
+		return
+	}
+
+	// create a fine tuning job
+	// Streams events until the job is done (this often takes minutes, but can take hours if there are many jobs in the queue or your dataset is large)
+	// use below get method to know the status of your model
+	fineTuningJob, err := client.CreateFineTuningJob(ctx, openai.FineTuningJobRequest{
+		TrainingFile: file.ID,
+		Model:        "davinci-002", // gpt-3.5-turbo-0613, babbage-002.
+	})
+	if err != nil {
+		fmt.Printf("Creating new fine tune model error: %v\n", err)
+		return
+	}
+
+	fineTuningJob, err = client.RetrieveFineTuningJob(ctx, fineTuningJob.ID)
+	if err != nil {
+		fmt.Printf("Getting fine tune model error: %v\n", err)
+		return
+	}
+	fmt.Println(fineTuningJob.FineTunedModel)
+
+	// once the status of fineTuningJob is `succeeded`, you can use your fine tune model in Completion Request or Chat Completion Request
+
+	// resp, err := client.CreateCompletion(ctx, openai.CompletionRequest{
+	//	 Model:  fineTuningJob.FineTunedModel,
+	//	 Prompt: "your prompt",
+	// })
+	// if err != nil {
+	//	 fmt.Printf("Create completion error %v\n", err)
+	//	 return
+	// }
+	//
+	// fmt.Println(resp.Choices[0].Text)
+}
+```
+</details>
+
+<details>
+<summary>Structured Outputs</summary>
+
+```go
+package main
+
+import (
+	"context"
+	"fmt"
+	"log"
+
+	"github.com/sashabaranov/go-openai"
+	"github.com/sashabaranov/go-openai/jsonschema"
+)
+
+func main() {
+	client := openai.NewClient("your token")
+	ctx := context.Background()
+
+	type Result struct {
+		Steps []struct {
+			Explanation string `json:"explanation"`
+			Output      string `json:"output"`
+		} `json:"steps"`
+		FinalAnswer string `json:"final_answer"`
+	}
+	var result Result
+	schema, err := jsonschema.GenerateSchemaForType(result)
+	if err != nil {
+		log.Fatalf("GenerateSchemaForType error: %v", err)
+	}
+	resp, err := client.CreateChatCompletion(ctx, openai.ChatCompletionRequest{
+		Model: openai.GPT4oMini,
+		Messages: []openai.ChatCompletionMessage{
+			{
+				Role:    openai.ChatMessageRoleSystem,
+				Content: "You are a helpful math tutor. Guide the user through the solution step by step.",
+			},
+			{
+				Role:    openai.ChatMessageRoleUser,
+				Content: "how can I solve 8x + 7 = -23",
+			},
+		},
+		ResponseFormat: &openai.ChatCompletionResponseFormat{
+			Type: openai.ChatCompletionResponseFormatTypeJSONSchema,
+			JSONSchema: &openai.ChatCompletionResponseFormatJSONSchema{
+				Name:   "math_reasoning",
+				Schema: schema,
+				Strict: true,
+			},
+		},
+	})
+	if err != nil {
+		log.Fatalf("CreateChatCompletion error: %v", err)
+	}
+	err = schema.Unmarshal(resp.Choices[0].Message.Content, &result)
+	if err != nil {
+		log.Fatalf("Unmarshal schema error: %v", err)
+	}
+	fmt.Println(result)
+}
+```
+</details>
+See the `examples/` folder for more.
+
+## Frequently Asked Questions
+
+### Why don't we get the same answer when specifying a temperature field of 0 and asking the same question?
+
+Even when specifying a temperature field of 0, it doesn't guarantee that you'll always get the same response. Several factors come into play.
+
+1. Go OpenAI Behavior: When you specify a temperature field of 0 in Go OpenAI, the omitempty tag causes that field to be removed from the request. Consequently, the OpenAI API applies the default value of 1.
+2. Token Count for Input/Output: If there's a large number of tokens in the input and output, setting the temperature to 0 can still result in non-deterministic behavior. In particular, when using around 32k tokens, the likelihood of non-deterministic behavior becomes highest even with a temperature of 0.
+
+Due to the factors mentioned above, different answers may be returned even for the same question.
+
+**Workarounds:**
+1. As of November 2023, use [the new `seed` parameter](https://platform.openai.com/docs/guides/text-generation/reproducible-outputs) in conjunction with the `system_fingerprint` response field, alongside Temperature management.
+2. Try using `math.SmallestNonzeroFloat32`: By specifying `math.SmallestNonzeroFloat32` in the temperature field instead of 0, you can mimic the behavior of setting it to 0.
+3. Limiting Token Count: By limiting the number of tokens in the input and output and especially avoiding large requests close to 32k tokens, you can reduce the risk of non-deterministic behavior.
+
+By adopting these strategies, you can expect more consistent results.
+
+**Related Issues:**  
+[omitempty option of request struct will generate incorrect request when parameter is 0.](https://github.com/sashabaranov/go-openai/issues/9)
+
+### Does Go OpenAI provide a method to count tokens?
+
+No, Go OpenAI does not offer a feature to count tokens, and there are no plans to provide such a feature in the future. However, if there's a way to implement a token counting feature with zero dependencies, it might be possible to merge that feature into Go OpenAI. Otherwise, it would be more appropriate to implement it in a dedicated library or repository.
+
+For counting tokens, you might find the following links helpful:  
+- [Counting Tokens For Chat API Calls](https://github.com/pkoukk/tiktoken-go#counting-tokens-for-chat-api-calls)
+- [How to count tokens with tiktoken](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb)
+
+**Related Issues:**  
+[Is it possible to join the implementation of GPT3 Tokenizer](https://github.com/sashabaranov/go-openai/issues/62)
+
+## Contributing
+
+By following [Contributing Guidelines](https://github.com/sashabaranov/go-openai/blob/master/CONTRIBUTING.md), we hope to ensure that your contributions are made smoothly and efficiently.
+
+## Thank you
+
+We want to take a moment to express our deepest gratitude to the [contributors](https://github.com/sashabaranov/go-openai/graphs/contributors) and sponsors of this project:
+- [Carson Kahn](https://carsonkahn.com) of [Spindle AI](https://spindleai.com)
+
+To all of you: thank you. You've helped us achieve more than we ever imagined possible. Can't wait to see where we go next, together!

vendor/github.com/sashabaranov/go-openai/assistant.go

@@ -0,0 +1,325 @@
+package openai
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"net/http"
+	"net/url"
+)
+
+const (
+	assistantsSuffix      = "/assistants"
+	assistantsFilesSuffix = "/files"
+)
+
+type Assistant struct {
+	ID             string                 `json:"id"`
+	Object         string                 `json:"object"`
+	CreatedAt      int64                  `json:"created_at"`
+	Name           *string                `json:"name,omitempty"`
+	Description    *string                `json:"description,omitempty"`
+	Model          string                 `json:"model"`
+	Instructions   *string                `json:"instructions,omitempty"`
+	Tools          []AssistantTool        `json:"tools"`
+	ToolResources  *AssistantToolResource `json:"tool_resources,omitempty"`
+	FileIDs        []string               `json:"file_ids,omitempty"` // Deprecated in v2
+	Metadata       map[string]any         `json:"metadata,omitempty"`
+	Temperature    *float32               `json:"temperature,omitempty"`
+	TopP           *float32               `json:"top_p,omitempty"`
+	ResponseFormat any                    `json:"response_format,omitempty"`
+
+	httpHeader
+}
+
+type AssistantToolType string
+
+const (
+	AssistantToolTypeCodeInterpreter AssistantToolType = "code_interpreter"
+	AssistantToolTypeRetrieval       AssistantToolType = "retrieval"
+	AssistantToolTypeFunction        AssistantToolType = "function"
+	AssistantToolTypeFileSearch      AssistantToolType = "file_search"
+)
+
+type AssistantTool struct {
+	Type     AssistantToolType   `json:"type"`
+	Function *FunctionDefinition `json:"function,omitempty"`
+}
+
+type AssistantToolFileSearch struct {
+	VectorStoreIDs []string `json:"vector_store_ids"`
+}
+
+type AssistantToolCodeInterpreter struct {
+	FileIDs []string `json:"file_ids"`
+}
+
+type AssistantToolResource struct {
+	FileSearch      *AssistantToolFileSearch      `json:"file_search,omitempty"`
+	CodeInterpreter *AssistantToolCodeInterpreter `json:"code_interpreter,omitempty"`
+}
+
+// AssistantRequest provides the assistant request parameters.
+// When modifying the tools the API functions as the following:
+// If Tools is undefined, no changes are made to the Assistant's tools.
+// If Tools is empty slice it will effectively delete all of the Assistant's tools.
+// If Tools is populated, it will replace all of the existing Assistant's tools with the provided tools.
+type AssistantRequest struct {
+	Model          string                 `json:"model"`
+	Name           *string                `json:"name,omitempty"`
+	Description    *string                `json:"description,omitempty"`
+	Instructions   *string                `json:"instructions,omitempty"`
+	Tools          []AssistantTool        `json:"-"`
+	FileIDs        []string               `json:"file_ids,omitempty"`
+	Metadata       map[string]any         `json:"metadata,omitempty"`
+	ToolResources  *AssistantToolResource `json:"tool_resources,omitempty"`
+	ResponseFormat any                    `json:"response_format,omitempty"`
+	Temperature    *float32               `json:"temperature,omitempty"`
+	TopP           *float32               `json:"top_p,omitempty"`
+}
+
+// MarshalJSON provides a custom marshaller for the assistant request to handle the API use cases
+// If Tools is nil, the field is omitted from the JSON.
+// If Tools is an empty slice, it's included in the JSON as an empty array ([]).
+// If Tools is populated, it's included in the JSON with the elements.
+func (a AssistantRequest) MarshalJSON() ([]byte, error) {
+	type Alias AssistantRequest
+	assistantAlias := &struct {
+		Tools *[]AssistantTool `json:"tools,omitempty"`
+		*Alias
+	}{
+		Alias: (*Alias)(&a),
+	}
+
+	if a.Tools != nil {
+		assistantAlias.Tools = &a.Tools
+	}
+
+	return json.Marshal(assistantAlias)
+}
+
+// AssistantsList is a list of assistants.
+type AssistantsList struct {
+	Assistants []Assistant `json:"data"`
+	LastID     *string     `json:"last_id"`
+	FirstID    *string     `json:"first_id"`
+	HasMore    bool        `json:"has_more"`
+	httpHeader
+}
+
+type AssistantDeleteResponse struct {
+	ID      string `json:"id"`
+	Object  string `json:"object"`
+	Deleted bool   `json:"deleted"`
+
+	httpHeader
+}
+
+type AssistantFile struct {
+	ID          string `json:"id"`
+	Object      string `json:"object"`
+	CreatedAt   int64  `json:"created_at"`
+	AssistantID string `json:"assistant_id"`
+
+	httpHeader
+}
+
+type AssistantFileRequest struct {
+	FileID string `json:"file_id"`
+}
+
+type AssistantFilesList struct {
+	AssistantFiles []AssistantFile `json:"data"`
+
+	httpHeader
+}
+
+// CreateAssistant creates a new assistant.
+func (c *Client) CreateAssistant(ctx context.Context, request AssistantRequest) (response Assistant, err error) {
+	req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(assistantsSuffix), withBody(request),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// RetrieveAssistant retrieves an assistant.
+func (c *Client) RetrieveAssistant(
+	ctx context.Context,
+	assistantID string,
+) (response Assistant, err error) {
+	urlSuffix := fmt.Sprintf("%s/%s", assistantsSuffix, assistantID)
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// ModifyAssistant modifies an assistant.
+func (c *Client) ModifyAssistant(
+	ctx context.Context,
+	assistantID string,
+	request AssistantRequest,
+) (response Assistant, err error) {
+	urlSuffix := fmt.Sprintf("%s/%s", assistantsSuffix, assistantID)
+	req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), withBody(request),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// DeleteAssistant deletes an assistant.
+func (c *Client) DeleteAssistant(
+	ctx context.Context,
+	assistantID string,
+) (response AssistantDeleteResponse, err error) {
+	urlSuffix := fmt.Sprintf("%s/%s", assistantsSuffix, assistantID)
+	req, err := c.newRequest(ctx, http.MethodDelete, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// ListAssistants Lists the currently available assistants.
+func (c *Client) ListAssistants(
+	ctx context.Context,
+	limit *int,
+	order *string,
+	after *string,
+	before *string,
+) (response AssistantsList, err error) {
+	urlValues := url.Values{}
+	if limit != nil {
+		urlValues.Add("limit", fmt.Sprintf("%d", *limit))
+	}
+	if order != nil {
+		urlValues.Add("order", *order)
+	}
+	if after != nil {
+		urlValues.Add("after", *after)
+	}
+	if before != nil {
+		urlValues.Add("before", *before)
+	}
+
+	encodedValues := ""
+	if len(urlValues) > 0 {
+		encodedValues = "?" + urlValues.Encode()
+	}
+
+	urlSuffix := fmt.Sprintf("%s%s", assistantsSuffix, encodedValues)
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// CreateAssistantFile creates a new assistant file.
+func (c *Client) CreateAssistantFile(
+	ctx context.Context,
+	assistantID string,
+	request AssistantFileRequest,
+) (response AssistantFile, err error) {
+	urlSuffix := fmt.Sprintf("%s/%s%s", assistantsSuffix, assistantID, assistantsFilesSuffix)
+	req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix),
+		withBody(request),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// RetrieveAssistantFile retrieves an assistant file.
+func (c *Client) RetrieveAssistantFile(
+	ctx context.Context,
+	assistantID string,
+	fileID string,
+) (response AssistantFile, err error) {
+	urlSuffix := fmt.Sprintf("%s/%s%s/%s", assistantsSuffix, assistantID, assistantsFilesSuffix, fileID)
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// DeleteAssistantFile deletes an existing file.
+func (c *Client) DeleteAssistantFile(
+	ctx context.Context,
+	assistantID string,
+	fileID string,
+) (err error) {
+	urlSuffix := fmt.Sprintf("%s/%s%s/%s", assistantsSuffix, assistantID, assistantsFilesSuffix, fileID)
+	req, err := c.newRequest(ctx, http.MethodDelete, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, nil)
+	return
+}
+
+// ListAssistantFiles Lists the currently available files for an assistant.
+func (c *Client) ListAssistantFiles(
+	ctx context.Context,
+	assistantID string,
+	limit *int,
+	order *string,
+	after *string,
+	before *string,
+) (response AssistantFilesList, err error) {
+	urlValues := url.Values{}
+	if limit != nil {
+		urlValues.Add("limit", fmt.Sprintf("%d", *limit))
+	}
+	if order != nil {
+		urlValues.Add("order", *order)
+	}
+	if after != nil {
+		urlValues.Add("after", *after)
+	}
+	if before != nil {
+		urlValues.Add("before", *before)
+	}
+
+	encodedValues := ""
+	if len(urlValues) > 0 {
+		encodedValues = "?" + urlValues.Encode()
+	}
+
+	urlSuffix := fmt.Sprintf("%s/%s%s%s", assistantsSuffix, assistantID, assistantsFilesSuffix, encodedValues)
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}

vendor/github.com/sashabaranov/go-openai/audio.go

@@ -0,0 +1,234 @@
+package openai
+
+import (
+	"bytes"
+	"context"
+	"fmt"
+	"io"
+	"net/http"
+	"os"
+
+	utils "github.com/sashabaranov/go-openai/internal"
+)
+
+// Whisper Defines the models provided by OpenAI to use when processing audio with OpenAI.
+const (
+	Whisper1 = "whisper-1"
+)
+
+// Response formats; Whisper uses AudioResponseFormatJSON by default.
+type AudioResponseFormat string
+
+const (
+	AudioResponseFormatJSON        AudioResponseFormat = "json"
+	AudioResponseFormatText        AudioResponseFormat = "text"
+	AudioResponseFormatSRT         AudioResponseFormat = "srt"
+	AudioResponseFormatVerboseJSON AudioResponseFormat = "verbose_json"
+	AudioResponseFormatVTT         AudioResponseFormat = "vtt"
+)
+
+type TranscriptionTimestampGranularity string
+
+const (
+	TranscriptionTimestampGranularityWord    TranscriptionTimestampGranularity = "word"
+	TranscriptionTimestampGranularitySegment TranscriptionTimestampGranularity = "segment"
+)
+
+// AudioRequest represents a request structure for audio API.
+type AudioRequest struct {
+	Model string
+
+	// FilePath is either an existing file in your filesystem or a filename representing the contents of Reader.
+	FilePath string
+
+	// Reader is an optional io.Reader when you do not want to use an existing file.
+	Reader io.Reader
+
+	Prompt                 string
+	Temperature            float32
+	Language               string // Only for transcription.
+	Format                 AudioResponseFormat
+	TimestampGranularities []TranscriptionTimestampGranularity // Only for transcription.
+}
+
+// AudioResponse represents a response structure for audio API.
+type AudioResponse struct {
+	Task     string  `json:"task"`
+	Language string  `json:"language"`
+	Duration float64 `json:"duration"`
+	Segments []struct {
+		ID               int     `json:"id"`
+		Seek             int     `json:"seek"`
+		Start            float64 `json:"start"`
+		End              float64 `json:"end"`
+		Text             string  `json:"text"`
+		Tokens           []int   `json:"tokens"`
+		Temperature      float64 `json:"temperature"`
+		AvgLogprob       float64 `json:"avg_logprob"`
+		CompressionRatio float64 `json:"compression_ratio"`
+		NoSpeechProb     float64 `json:"no_speech_prob"`
+		Transient        bool    `json:"transient"`
+	} `json:"segments"`
+	Words []struct {
+		Word  string  `json:"word"`
+		Start float64 `json:"start"`
+		End   float64 `json:"end"`
+	} `json:"words"`
+	Text string `json:"text"`
+
+	httpHeader
+}
+
+type audioTextResponse struct {
+	Text string `json:"text"`
+
+	httpHeader
+}
+
+func (r *audioTextResponse) ToAudioResponse() AudioResponse {
+	return AudioResponse{
+		Text:       r.Text,
+		httpHeader: r.httpHeader,
+	}
+}
+
+// CreateTranscription — API call to create a transcription. Returns transcribed text.
+func (c *Client) CreateTranscription(
+	ctx context.Context,
+	request AudioRequest,
+) (response AudioResponse, err error) {
+	return c.callAudioAPI(ctx, request, "transcriptions")
+}
+
+// CreateTranslation — API call to translate audio into English.
+func (c *Client) CreateTranslation(
+	ctx context.Context,
+	request AudioRequest,
+) (response AudioResponse, err error) {
+	return c.callAudioAPI(ctx, request, "translations")
+}
+
+// callAudioAPI — API call to an audio endpoint.
+func (c *Client) callAudioAPI(
+	ctx context.Context,
+	request AudioRequest,
+	endpointSuffix string,
+) (response AudioResponse, err error) {
+	var formBody bytes.Buffer
+	builder := c.createFormBuilder(&formBody)
+
+	if err = audioMultipartForm(request, builder); err != nil {
+		return AudioResponse{}, err
+	}
+
+	urlSuffix := fmt.Sprintf("/audio/%s", endpointSuffix)
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL(urlSuffix, withModel(request.Model)),
+		withBody(&formBody),
+		withContentType(builder.FormDataContentType()),
+	)
+	if err != nil {
+		return AudioResponse{}, err
+	}
+
+	if request.HasJSONResponse() {
+		err = c.sendRequest(req, &response)
+	} else {
+		var textResponse audioTextResponse
+		err = c.sendRequest(req, &textResponse)
+		response = textResponse.ToAudioResponse()
+	}
+	if err != nil {
+		return AudioResponse{}, err
+	}
+	return
+}
+
+// HasJSONResponse returns true if the response format is JSON.
+func (r AudioRequest) HasJSONResponse() bool {
+	return r.Format == "" || r.Format == AudioResponseFormatJSON || r.Format == AudioResponseFormatVerboseJSON
+}
+
+// audioMultipartForm creates a form with audio file contents and the name of the model to use for
+// audio processing.
+func audioMultipartForm(request AudioRequest, b utils.FormBuilder) error {
+	err := createFileField(request, b)
+	if err != nil {
+		return err
+	}
+
+	err = b.WriteField("model", request.Model)
+	if err != nil {
+		return fmt.Errorf("writing model name: %w", err)
+	}
+
+	// Create a form field for the prompt (if provided)
+	if request.Prompt != "" {
+		err = b.WriteField("prompt", request.Prompt)
+		if err != nil {
+			return fmt.Errorf("writing prompt: %w", err)
+		}
+	}
+
+	// Create a form field for the format (if provided)
+	if request.Format != "" {
+		err = b.WriteField("response_format", string(request.Format))
+		if err != nil {
+			return fmt.Errorf("writing format: %w", err)
+		}
+	}
+
+	// Create a form field for the temperature (if provided)
+	if request.Temperature != 0 {
+		err = b.WriteField("temperature", fmt.Sprintf("%.2f", request.Temperature))
+		if err != nil {
+			return fmt.Errorf("writing temperature: %w", err)
+		}
+	}
+
+	// Create a form field for the language (if provided)
+	if request.Language != "" {
+		err = b.WriteField("language", request.Language)
+		if err != nil {
+			return fmt.Errorf("writing language: %w", err)
+		}
+	}
+
+	if len(request.TimestampGranularities) > 0 {
+		for _, tg := range request.TimestampGranularities {
+			err = b.WriteField("timestamp_granularities[]", string(tg))
+			if err != nil {
+				return fmt.Errorf("writing timestamp_granularities[]: %w", err)
+			}
+		}
+	}
+
+	// Close the multipart writer
+	return b.Close()
+}
+
+// createFileField creates the "file" form field from either an existing file or by using the reader.
+func createFileField(request AudioRequest, b utils.FormBuilder) error {
+	if request.Reader != nil {
+		err := b.CreateFormFileReader("file", request.Reader, request.FilePath)
+		if err != nil {
+			return fmt.Errorf("creating form using reader: %w", err)
+		}
+		return nil
+	}
+
+	f, err := os.Open(request.FilePath)
+	if err != nil {
+		return fmt.Errorf("opening audio file: %w", err)
+	}
+	defer f.Close()
+
+	err = b.CreateFormFile("file", f)
+	if err != nil {
+		return fmt.Errorf("creating form file: %w", err)
+	}
+
+	return nil
+}

vendor/github.com/sashabaranov/go-openai/batch.go

@@ -0,0 +1,271 @@
+package openai
+
+import (
+	"bytes"
+	"context"
+	"encoding/json"
+	"fmt"
+	"net/http"
+	"net/url"
+)
+
+const batchesSuffix = "/batches"
+
+type BatchEndpoint string
+
+const (
+	BatchEndpointChatCompletions BatchEndpoint = "/v1/chat/completions"
+	BatchEndpointCompletions     BatchEndpoint = "/v1/completions"
+	BatchEndpointEmbeddings      BatchEndpoint = "/v1/embeddings"
+)
+
+type BatchLineItem interface {
+	MarshalBatchLineItem() []byte
+}
+
+type BatchChatCompletionRequest struct {
+	CustomID string                `json:"custom_id"`
+	Body     ChatCompletionRequest `json:"body"`
+	Method   string                `json:"method"`
+	URL      BatchEndpoint         `json:"url"`
+}
+
+func (r BatchChatCompletionRequest) MarshalBatchLineItem() []byte {
+	marshal, _ := json.Marshal(r)
+	return marshal
+}
+
+type BatchCompletionRequest struct {
+	CustomID string            `json:"custom_id"`
+	Body     CompletionRequest `json:"body"`
+	Method   string            `json:"method"`
+	URL      BatchEndpoint     `json:"url"`
+}
+
+func (r BatchCompletionRequest) MarshalBatchLineItem() []byte {
+	marshal, _ := json.Marshal(r)
+	return marshal
+}
+
+type BatchEmbeddingRequest struct {
+	CustomID string           `json:"custom_id"`
+	Body     EmbeddingRequest `json:"body"`
+	Method   string           `json:"method"`
+	URL      BatchEndpoint    `json:"url"`
+}
+
+func (r BatchEmbeddingRequest) MarshalBatchLineItem() []byte {
+	marshal, _ := json.Marshal(r)
+	return marshal
+}
+
+type Batch struct {
+	ID       string        `json:"id"`
+	Object   string        `json:"object"`
+	Endpoint BatchEndpoint `json:"endpoint"`
+	Errors   *struct {
+		Object string `json:"object,omitempty"`
+		Data   []struct {
+			Code    string  `json:"code,omitempty"`
+			Message string  `json:"message,omitempty"`
+			Param   *string `json:"param,omitempty"`
+			Line    *int    `json:"line,omitempty"`
+		} `json:"data"`
+	} `json:"errors"`
+	InputFileID      string             `json:"input_file_id"`
+	CompletionWindow string             `json:"completion_window"`
+	Status           string             `json:"status"`
+	OutputFileID     *string            `json:"output_file_id"`
+	ErrorFileID      *string            `json:"error_file_id"`
+	CreatedAt        int                `json:"created_at"`
+	InProgressAt     *int               `json:"in_progress_at"`
+	ExpiresAt        *int               `json:"expires_at"`
+	FinalizingAt     *int               `json:"finalizing_at"`
+	CompletedAt      *int               `json:"completed_at"`
+	FailedAt         *int               `json:"failed_at"`
+	ExpiredAt        *int               `json:"expired_at"`
+	CancellingAt     *int               `json:"cancelling_at"`
+	CancelledAt      *int               `json:"cancelled_at"`
+	RequestCounts    BatchRequestCounts `json:"request_counts"`
+	Metadata         map[string]any     `json:"metadata"`
+}
+
+type BatchRequestCounts struct {
+	Total     int `json:"total"`
+	Completed int `json:"completed"`
+	Failed    int `json:"failed"`
+}
+
+type CreateBatchRequest struct {
+	InputFileID      string         `json:"input_file_id"`
+	Endpoint         BatchEndpoint  `json:"endpoint"`
+	CompletionWindow string         `json:"completion_window"`
+	Metadata         map[string]any `json:"metadata"`
+}
+
+type BatchResponse struct {
+	httpHeader
+	Batch
+}
+
+// CreateBatch — API call to Create batch.
+func (c *Client) CreateBatch(
+	ctx context.Context,
+	request CreateBatchRequest,
+) (response BatchResponse, err error) {
+	if request.CompletionWindow == "" {
+		request.CompletionWindow = "24h"
+	}
+
+	req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(batchesSuffix), withBody(request))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+type UploadBatchFileRequest struct {
+	FileName string
+	Lines    []BatchLineItem
+}
+
+func (r *UploadBatchFileRequest) MarshalJSONL() []byte {
+	buff := bytes.Buffer{}
+	for i, line := range r.Lines {
+		if i != 0 {
+			buff.Write([]byte("\n"))
+		}
+		buff.Write(line.MarshalBatchLineItem())
+	}
+	return buff.Bytes()
+}
+
+func (r *UploadBatchFileRequest) AddChatCompletion(customerID string, body ChatCompletionRequest) {
+	r.Lines = append(r.Lines, BatchChatCompletionRequest{
+		CustomID: customerID,
+		Body:     body,
+		Method:   "POST",
+		URL:      BatchEndpointChatCompletions,
+	})
+}
+
+func (r *UploadBatchFileRequest) AddCompletion(customerID string, body CompletionRequest) {
+	r.Lines = append(r.Lines, BatchCompletionRequest{
+		CustomID: customerID,
+		Body:     body,
+		Method:   "POST",
+		URL:      BatchEndpointCompletions,
+	})
+}
+
+func (r *UploadBatchFileRequest) AddEmbedding(customerID string, body EmbeddingRequest) {
+	r.Lines = append(r.Lines, BatchEmbeddingRequest{
+		CustomID: customerID,
+		Body:     body,
+		Method:   "POST",
+		URL:      BatchEndpointEmbeddings,
+	})
+}
+
+// UploadBatchFile — upload batch file.
+func (c *Client) UploadBatchFile(ctx context.Context, request UploadBatchFileRequest) (File, error) {
+	if request.FileName == "" {
+		request.FileName = "@batchinput.jsonl"
+	}
+	return c.CreateFileBytes(ctx, FileBytesRequest{
+		Name:    request.FileName,
+		Bytes:   request.MarshalJSONL(),
+		Purpose: PurposeBatch,
+	})
+}
+
+type CreateBatchWithUploadFileRequest struct {
+	Endpoint         BatchEndpoint  `json:"endpoint"`
+	CompletionWindow string         `json:"completion_window"`
+	Metadata         map[string]any `json:"metadata"`
+	UploadBatchFileRequest
+}
+
+// CreateBatchWithUploadFile — API call to Create batch with upload file.
+func (c *Client) CreateBatchWithUploadFile(
+	ctx context.Context,
+	request CreateBatchWithUploadFileRequest,
+) (response BatchResponse, err error) {
+	var file File
+	file, err = c.UploadBatchFile(ctx, UploadBatchFileRequest{
+		FileName: request.FileName,
+		Lines:    request.Lines,
+	})
+	if err != nil {
+		return
+	}
+	return c.CreateBatch(ctx, CreateBatchRequest{
+		InputFileID:      file.ID,
+		Endpoint:         request.Endpoint,
+		CompletionWindow: request.CompletionWindow,
+		Metadata:         request.Metadata,
+	})
+}
+
+// RetrieveBatch — API call to Retrieve batch.
+func (c *Client) RetrieveBatch(
+	ctx context.Context,
+	batchID string,
+) (response BatchResponse, err error) {
+	urlSuffix := fmt.Sprintf("%s/%s", batchesSuffix, batchID)
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix))
+	if err != nil {
+		return
+	}
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// CancelBatch — API call to Cancel batch.
+func (c *Client) CancelBatch(
+	ctx context.Context,
+	batchID string,
+) (response BatchResponse, err error) {
+	urlSuffix := fmt.Sprintf("%s/%s/cancel", batchesSuffix, batchID)
+	req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix))
+	if err != nil {
+		return
+	}
+	err = c.sendRequest(req, &response)
+	return
+}
+
+type ListBatchResponse struct {
+	httpHeader
+	Object  string  `json:"object"`
+	Data    []Batch `json:"data"`
+	FirstID string  `json:"first_id"`
+	LastID  string  `json:"last_id"`
+	HasMore bool    `json:"has_more"`
+}
+
+// ListBatch API call to List batch.
+func (c *Client) ListBatch(ctx context.Context, after *string, limit *int) (response ListBatchResponse, err error) {
+	urlValues := url.Values{}
+	if limit != nil {
+		urlValues.Add("limit", fmt.Sprintf("%d", *limit))
+	}
+	if after != nil {
+		urlValues.Add("after", *after)
+	}
+	encodedValues := ""
+	if len(urlValues) > 0 {
+		encodedValues = "?" + urlValues.Encode()
+	}
+
+	urlSuffix := fmt.Sprintf("%s%s", batchesSuffix, encodedValues)
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}

vendor/github.com/sashabaranov/go-openai/chat.go

@@ -0,0 +1,498 @@
+package openai
+
+import (
+	"context"
+	"encoding/json"
+	"errors"
+	"net/http"
+
+	"github.com/sashabaranov/go-openai/jsonschema"
+)
+
+// Chat message role defined by the OpenAI API.
+const (
+	ChatMessageRoleSystem    = "system"
+	ChatMessageRoleUser      = "user"
+	ChatMessageRoleAssistant = "assistant"
+	ChatMessageRoleFunction  = "function"
+	ChatMessageRoleTool      = "tool"
+	ChatMessageRoleDeveloper = "developer"
+)
+
+const chatCompletionsSuffix = "/chat/completions"
+
+var (
+	ErrChatCompletionInvalidModel       = errors.New("this model is not supported with this method, please use CreateCompletion client method instead") //nolint:lll
+	ErrChatCompletionStreamNotSupported = errors.New("streaming is not supported with this method, please use CreateChatCompletionStream")              //nolint:lll
+	ErrContentFieldsMisused             = errors.New("can't use both Content and MultiContent properties simultaneously")
+)
+
+type Hate struct {
+	Filtered bool   `json:"filtered"`
+	Severity string `json:"severity,omitempty"`
+}
+type SelfHarm struct {
+	Filtered bool   `json:"filtered"`
+	Severity string `json:"severity,omitempty"`
+}
+type Sexual struct {
+	Filtered bool   `json:"filtered"`
+	Severity string `json:"severity,omitempty"`
+}
+type Violence struct {
+	Filtered bool   `json:"filtered"`
+	Severity string `json:"severity,omitempty"`
+}
+
+type JailBreak struct {
+	Filtered bool `json:"filtered"`
+	Detected bool `json:"detected"`
+}
+
+type Profanity struct {
+	Filtered bool `json:"filtered"`
+	Detected bool `json:"detected"`
+}
+
+type ContentFilterResults struct {
+	Hate      Hate      `json:"hate,omitempty"`
+	SelfHarm  SelfHarm  `json:"self_harm,omitempty"`
+	Sexual    Sexual    `json:"sexual,omitempty"`
+	Violence  Violence  `json:"violence,omitempty"`
+	JailBreak JailBreak `json:"jailbreak,omitempty"`
+	Profanity Profanity `json:"profanity,omitempty"`
+}
+
+type PromptAnnotation struct {
+	PromptIndex          int                  `json:"prompt_index,omitempty"`
+	ContentFilterResults ContentFilterResults `json:"content_filter_results,omitempty"`
+}
+
+type ImageURLDetail string
+
+const (
+	ImageURLDetailHigh ImageURLDetail = "high"
+	ImageURLDetailLow  ImageURLDetail = "low"
+	ImageURLDetailAuto ImageURLDetail = "auto"
+)
+
+type ChatMessageImageURL struct {
+	URL    string         `json:"url,omitempty"`
+	Detail ImageURLDetail `json:"detail,omitempty"`
+}
+
+type ChatMessagePartType string
+
+const (
+	ChatMessagePartTypeText     ChatMessagePartType = "text"
+	ChatMessagePartTypeImageURL ChatMessagePartType = "image_url"
+)
+
+type ChatMessagePart struct {
+	Type     ChatMessagePartType  `json:"type,omitempty"`
+	Text     string               `json:"text,omitempty"`
+	ImageURL *ChatMessageImageURL `json:"image_url,omitempty"`
+}
+
+type ChatCompletionMessage struct {
+	Role         string `json:"role"`
+	Content      string `json:"content,omitempty"`
+	Refusal      string `json:"refusal,omitempty"`
+	MultiContent []ChatMessagePart
+
+	// This property isn't in the official documentation, but it's in
+	// the documentation for the official library for python:
+	// - https://github.com/openai/openai-python/blob/main/chatml.md
+	// - https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb
+	Name string `json:"name,omitempty"`
+
+	// This property is used for the "reasoning" feature supported by deepseek-reasoner
+	// which is not in the official documentation.
+	// the doc from deepseek:
+	// - https://api-docs.deepseek.com/api/create-chat-completion#responses
+	ReasoningContent string `json:"reasoning_content,omitempty"`
+
+	FunctionCall *FunctionCall `json:"function_call,omitempty"`
+
+	// For Role=assistant prompts this may be set to the tool calls generated by the model, such as function calls.
+	ToolCalls []ToolCall `json:"tool_calls,omitempty"`
+
+	// For Role=tool prompts this should be set to the ID given in the assistant's prior request to call a tool.
+	ToolCallID string `json:"tool_call_id,omitempty"`
+}
+
+func (m ChatCompletionMessage) MarshalJSON() ([]byte, error) {
+	if m.Content != "" && m.MultiContent != nil {
+		return nil, ErrContentFieldsMisused
+	}
+	if len(m.MultiContent) > 0 {
+		msg := struct {
+			Role             string            `json:"role"`
+			Content          string            `json:"-"`
+			Refusal          string            `json:"refusal,omitempty"`
+			MultiContent     []ChatMessagePart `json:"content,omitempty"`
+			Name             string            `json:"name,omitempty"`
+			ReasoningContent string            `json:"reasoning_content,omitempty"`
+			FunctionCall     *FunctionCall     `json:"function_call,omitempty"`
+			ToolCalls        []ToolCall        `json:"tool_calls,omitempty"`
+			ToolCallID       string            `json:"tool_call_id,omitempty"`
+		}(m)
+		return json.Marshal(msg)
+	}
+
+	msg := struct {
+		Role             string            `json:"role"`
+		Content          string            `json:"content,omitempty"`
+		Refusal          string            `json:"refusal,omitempty"`
+		MultiContent     []ChatMessagePart `json:"-"`
+		Name             string            `json:"name,omitempty"`
+		ReasoningContent string            `json:"reasoning_content,omitempty"`
+		FunctionCall     *FunctionCall     `json:"function_call,omitempty"`
+		ToolCalls        []ToolCall        `json:"tool_calls,omitempty"`
+		ToolCallID       string            `json:"tool_call_id,omitempty"`
+	}(m)
+	return json.Marshal(msg)
+}
+
+func (m *ChatCompletionMessage) UnmarshalJSON(bs []byte) error {
+	msg := struct {
+		Role             string `json:"role"`
+		Content          string `json:"content"`
+		Refusal          string `json:"refusal,omitempty"`
+		MultiContent     []ChatMessagePart
+		Name             string        `json:"name,omitempty"`
+		ReasoningContent string        `json:"reasoning_content,omitempty"`
+		FunctionCall     *FunctionCall `json:"function_call,omitempty"`
+		ToolCalls        []ToolCall    `json:"tool_calls,omitempty"`
+		ToolCallID       string        `json:"tool_call_id,omitempty"`
+	}{}
+
+	if err := json.Unmarshal(bs, &msg); err == nil {
+		*m = ChatCompletionMessage(msg)
+		return nil
+	}
+	multiMsg := struct {
+		Role             string `json:"role"`
+		Content          string
+		Refusal          string            `json:"refusal,omitempty"`
+		MultiContent     []ChatMessagePart `json:"content"`
+		Name             string            `json:"name,omitempty"`
+		ReasoningContent string            `json:"reasoning_content,omitempty"`
+		FunctionCall     *FunctionCall     `json:"function_call,omitempty"`
+		ToolCalls        []ToolCall        `json:"tool_calls,omitempty"`
+		ToolCallID       string            `json:"tool_call_id,omitempty"`
+	}{}
+	if err := json.Unmarshal(bs, &multiMsg); err != nil {
+		return err
+	}
+	*m = ChatCompletionMessage(multiMsg)
+	return nil
+}
+
+type ToolCall struct {
+	// Index is not nil only in chat completion chunk object
+	Index    *int         `json:"index,omitempty"`
+	ID       string       `json:"id,omitempty"`
+	Type     ToolType     `json:"type"`
+	Function FunctionCall `json:"function"`
+}
+
+type FunctionCall struct {
+	Name string `json:"name,omitempty"`
+	// call function with arguments in JSON format
+	Arguments string `json:"arguments,omitempty"`
+}
+
+type ChatCompletionResponseFormatType string
+
+const (
+	ChatCompletionResponseFormatTypeJSONObject ChatCompletionResponseFormatType = "json_object"
+	ChatCompletionResponseFormatTypeJSONSchema ChatCompletionResponseFormatType = "json_schema"
+	ChatCompletionResponseFormatTypeText       ChatCompletionResponseFormatType = "text"
+)
+
+type ChatCompletionResponseFormat struct {
+	Type       ChatCompletionResponseFormatType        `json:"type,omitempty"`
+	JSONSchema *ChatCompletionResponseFormatJSONSchema `json:"json_schema,omitempty"`
+}
+
+type ChatCompletionResponseFormatJSONSchema struct {
+	Name        string         `json:"name"`
+	Description string         `json:"description,omitempty"`
+	Schema      json.Marshaler `json:"schema"`
+	Strict      bool           `json:"strict"`
+}
+
+func (r *ChatCompletionResponseFormatJSONSchema) UnmarshalJSON(data []byte) error {
+	type rawJSONSchema struct {
+		Name        string          `json:"name"`
+		Description string          `json:"description,omitempty"`
+		Schema      json.RawMessage `json:"schema"`
+		Strict      bool            `json:"strict"`
+	}
+	var raw rawJSONSchema
+	if err := json.Unmarshal(data, &raw); err != nil {
+		return err
+	}
+	r.Name = raw.Name
+	r.Description = raw.Description
+	r.Strict = raw.Strict
+	if len(raw.Schema) > 0 && string(raw.Schema) != "null" {
+		var d jsonschema.Definition
+		err := json.Unmarshal(raw.Schema, &d)
+		if err != nil {
+			return err
+		}
+		r.Schema = &d
+	}
+	return nil
+}
+
+// ChatCompletionRequestExtensions contains third-party OpenAI API extensions
+// (e.g., vendor-specific implementations like vLLM).
+type ChatCompletionRequestExtensions struct {
+	// GuidedChoice is a vLLM-specific extension that restricts the model's output
+	// to one of the predefined string choices provided in this field. This feature
+	// is used to constrain the model's responses to a controlled set of options,
+	// ensuring predictable and consistent outputs in scenarios where specific
+	// choices are required.
+	GuidedChoice []string `json:"guided_choice,omitempty"`
+}
+
+// ChatCompletionRequest represents a request structure for chat completion API.
+type ChatCompletionRequest struct {
+	Model    string                  `json:"model"`
+	Messages []ChatCompletionMessage `json:"messages"`
+	// MaxTokens The maximum number of tokens that can be generated in the chat completion.
+	// This value can be used to control costs for text generated via API.
+	// Deprecated: use MaxCompletionTokens. Not compatible with o1-series models.
+	// refs: https://platform.openai.com/docs/api-reference/chat/create#chat-create-max_tokens
+	MaxTokens int `json:"max_tokens,omitempty"`
+	// MaxCompletionTokens An upper bound for the number of tokens that can be generated for a completion,
+	// including visible output tokens and reasoning tokens https://platform.openai.com/docs/guides/reasoning
+	MaxCompletionTokens int                           `json:"max_completion_tokens,omitempty"`
+	Temperature         float32                       `json:"temperature,omitempty"`
+	TopP                float32                       `json:"top_p,omitempty"`
+	N                   int                           `json:"n,omitempty"`
+	Stream              bool                          `json:"stream,omitempty"`
+	Stop                []string                      `json:"stop,omitempty"`
+	PresencePenalty     float32                       `json:"presence_penalty,omitempty"`
+	ResponseFormat      *ChatCompletionResponseFormat `json:"response_format,omitempty"`
+	Seed                *int                          `json:"seed,omitempty"`
+	FrequencyPenalty    float32                       `json:"frequency_penalty,omitempty"`
+	// LogitBias is must be a token id string (specified by their token ID in the tokenizer), not a word string.
+	// incorrect: `"logit_bias":{"You": 6}`, correct: `"logit_bias":{"1639": 6}`
+	// refs: https://platform.openai.com/docs/api-reference/chat/create#chat/create-logit_bias
+	LogitBias map[string]int `json:"logit_bias,omitempty"`
+	// LogProbs indicates whether to return log probabilities of the output tokens or not.
+	// If true, returns the log probabilities of each output token returned in the content of message.
+	// This option is currently not available on the gpt-4-vision-preview model.
+	LogProbs bool `json:"logprobs,omitempty"`
+	// TopLogProbs is an integer between 0 and 5 specifying the number of most likely tokens to return at each
+	// token position, each with an associated log probability.
+	// logprobs must be set to true if this parameter is used.
+	TopLogProbs int    `json:"top_logprobs,omitempty"`
+	User        string `json:"user,omitempty"`
+	// Deprecated: use Tools instead.
+	Functions []FunctionDefinition `json:"functions,omitempty"`
+	// Deprecated: use ToolChoice instead.
+	FunctionCall any    `json:"function_call,omitempty"`
+	Tools        []Tool `json:"tools,omitempty"`
+	// This can be either a string or an ToolChoice object.
+	ToolChoice any `json:"tool_choice,omitempty"`
+	// Options for streaming response. Only set this when you set stream: true.
+	StreamOptions *StreamOptions `json:"stream_options,omitempty"`
+	// Disable the default behavior of parallel tool calls by setting it: false.
+	ParallelToolCalls any `json:"parallel_tool_calls,omitempty"`
+	// Store can be set to true to store the output of this completion request for use in distillations and evals.
+	// https://platform.openai.com/docs/api-reference/chat/create#chat-create-store
+	Store bool `json:"store,omitempty"`
+	// Controls effort on reasoning for reasoning models. It can be set to "low", "medium", or "high".
+	ReasoningEffort string `json:"reasoning_effort,omitempty"`
+	// Metadata to store with the completion.
+	Metadata map[string]string `json:"metadata,omitempty"`
+	// Configuration for a predicted output.
+	Prediction *Prediction `json:"prediction,omitempty"`
+	// ChatTemplateKwargs provides a way to add non-standard parameters to the request body.
+	// Additional kwargs to pass to the template renderer. Will be accessible by the chat template.
+	// Such as think mode for qwen3. "chat_template_kwargs": {"enable_thinking": false}
+	// https://qwen.readthedocs.io/en/latest/deployment/vllm.html#thinking-non-thinking-modes
+	ChatTemplateKwargs map[string]any `json:"chat_template_kwargs,omitempty"`
+	// Specifies the latency tier to use for processing the request.
+	ServiceTier ServiceTier `json:"service_tier,omitempty"`
+	// Verbosity determines how many output tokens are generated. Lowering the number of
+	// tokens reduces overall latency. It can be set to "low", "medium", or "high".
+	// Note: This field is only confirmed to work with gpt-5, gpt-5-mini and gpt-5-nano.
+	// Also, it is not in the API reference of chat completion at the time of writing,
+	// though it is supported by the API.
+	Verbosity string `json:"verbosity,omitempty"`
+	// A stable identifier used to help detect users of your application that may be violating OpenAI's usage policies.
+	// The IDs should be a string that uniquely identifies each user.
+	// We recommend hashing their username or email address, in order to avoid sending us any identifying information.
+	// https://platform.openai.com/docs/api-reference/chat/create#chat_create-safety_identifier
+	SafetyIdentifier string `json:"safety_identifier,omitempty"`
+	// Embedded struct for non-OpenAI extensions
+	ChatCompletionRequestExtensions
+}
+
+type StreamOptions struct {
+	// If set, an additional chunk will be streamed before the data: [DONE] message.
+	// The usage field on this chunk shows the token usage statistics for the entire request,
+	// and the choices field will always be an empty array.
+	// All other chunks will also include a usage field, but with a null value.
+	IncludeUsage bool `json:"include_usage,omitempty"`
+}
+
+type ToolType string
+
+const (
+	ToolTypeFunction ToolType = "function"
+)
+
+type Tool struct {
+	Type     ToolType            `json:"type"`
+	Function *FunctionDefinition `json:"function,omitempty"`
+}
+
+type ToolChoice struct {
+	Type     ToolType     `json:"type"`
+	Function ToolFunction `json:"function,omitempty"`
+}
+
+type ToolFunction struct {
+	Name string `json:"name"`
+}
+
+type FunctionDefinition struct {
+	Name        string `json:"name"`
+	Description string `json:"description,omitempty"`
+	Strict      bool   `json:"strict,omitempty"`
+	// Parameters is an object describing the function.
+	// You can pass json.RawMessage to describe the schema,
+	// or you can pass in a struct which serializes to the proper JSON schema.
+	// The jsonschema package is provided for convenience, but you should
+	// consider another specialized library if you require more complex schemas.
+	Parameters any `json:"parameters"`
+}
+
+// Deprecated: use FunctionDefinition instead.
+type FunctionDefine = FunctionDefinition
+
+type TopLogProbs struct {
+	Token   string  `json:"token"`
+	LogProb float64 `json:"logprob"`
+	Bytes   []byte  `json:"bytes,omitempty"`
+}
+
+// LogProb represents the probability information for a token.
+type LogProb struct {
+	Token   string  `json:"token"`
+	LogProb float64 `json:"logprob"`
+	Bytes   []byte  `json:"bytes,omitempty"` // Omitting the field if it is null
+	// TopLogProbs is a list of the most likely tokens and their log probability, at this token position.
+	// In rare cases, there may be fewer than the number of requested top_logprobs returned.
+	TopLogProbs []TopLogProbs `json:"top_logprobs"`
+}
+
+// LogProbs is the top-level structure containing the log probability information.
+type LogProbs struct {
+	// Content is a list of message content tokens with log probability information.
+	Content []LogProb `json:"content"`
+}
+
+type Prediction struct {
+	Content string `json:"content"`
+	Type    string `json:"type"`
+}
+
+type FinishReason string
+
+const (
+	FinishReasonStop          FinishReason = "stop"
+	FinishReasonLength        FinishReason = "length"
+	FinishReasonFunctionCall  FinishReason = "function_call"
+	FinishReasonToolCalls     FinishReason = "tool_calls"
+	FinishReasonContentFilter FinishReason = "content_filter"
+	FinishReasonNull          FinishReason = "null"
+)
+
+type ServiceTier string
+
+const (
+	ServiceTierAuto     ServiceTier = "auto"
+	ServiceTierDefault  ServiceTier = "default"
+	ServiceTierFlex     ServiceTier = "flex"
+	ServiceTierPriority ServiceTier = "priority"
+)
+
+func (r FinishReason) MarshalJSON() ([]byte, error) {
+	if r == FinishReasonNull || r == "" {
+		return []byte("null"), nil
+	}
+	return []byte(`"` + string(r) + `"`), nil // best effort to not break future API changes
+}
+
+type ChatCompletionChoice struct {
+	Index   int                   `json:"index"`
+	Message ChatCompletionMessage `json:"message"`
+	// FinishReason
+	// stop: API returned complete message,
+	// or a message terminated by one of the stop sequences provided via the stop parameter
+	// length: Incomplete model output due to max_tokens parameter or token limit
+	// function_call: The model decided to call a function
+	// content_filter: Omitted content due to a flag from our content filters
+	// null: API response still in progress or incomplete
+	FinishReason         FinishReason         `json:"finish_reason"`
+	LogProbs             *LogProbs            `json:"logprobs,omitempty"`
+	ContentFilterResults ContentFilterResults `json:"content_filter_results,omitempty"`
+}
+
+// ChatCompletionResponse represents a response structure for chat completion API.
+type ChatCompletionResponse struct {
+	ID                  string                 `json:"id"`
+	Object              string                 `json:"object"`
+	Created             int64                  `json:"created"`
+	Model               string                 `json:"model"`
+	Choices             []ChatCompletionChoice `json:"choices"`
+	Usage               Usage                  `json:"usage"`
+	SystemFingerprint   string                 `json:"system_fingerprint"`
+	PromptFilterResults []PromptFilterResult   `json:"prompt_filter_results,omitempty"`
+	ServiceTier         ServiceTier            `json:"service_tier,omitempty"`
+
+	httpHeader
+}
+
+// CreateChatCompletion — API call to Create a completion for the chat message.
+func (c *Client) CreateChatCompletion(
+	ctx context.Context,
+	request ChatCompletionRequest,
+) (response ChatCompletionResponse, err error) {
+	if request.Stream {
+		err = ErrChatCompletionStreamNotSupported
+		return
+	}
+
+	urlSuffix := chatCompletionsSuffix
+	if !checkEndpointSupportsModel(urlSuffix, request.Model) {
+		err = ErrChatCompletionInvalidModel
+		return
+	}
+
+	reasoningValidator := NewReasoningValidator()
+	if err = reasoningValidator.Validate(request); err != nil {
+		return
+	}
+
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL(urlSuffix, withModel(request.Model)),
+		withBody(request),
+	)
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}

vendor/github.com/sashabaranov/go-openai/chat_stream.go

@@ -0,0 +1,112 @@
+package openai
+
+import (
+	"context"
+	"net/http"
+)
+
+type ChatCompletionStreamChoiceDelta struct {
+	Content      string        `json:"content,omitempty"`
+	Role         string        `json:"role,omitempty"`
+	FunctionCall *FunctionCall `json:"function_call,omitempty"`
+	ToolCalls    []ToolCall    `json:"tool_calls,omitempty"`
+	Refusal      string        `json:"refusal,omitempty"`
+
+	// This property is used for the "reasoning" feature supported by deepseek-reasoner
+	// which is not in the official documentation.
+	// the doc from deepseek:
+	// - https://api-docs.deepseek.com/api/create-chat-completion#responses
+	ReasoningContent string `json:"reasoning_content,omitempty"`
+}
+
+type ChatCompletionStreamChoiceLogprobs struct {
+	Content []ChatCompletionTokenLogprob `json:"content,omitempty"`
+	Refusal []ChatCompletionTokenLogprob `json:"refusal,omitempty"`
+}
+
+type ChatCompletionTokenLogprob struct {
+	Token       string                                 `json:"token"`
+	Bytes       []int64                                `json:"bytes,omitempty"`
+	Logprob     float64                                `json:"logprob,omitempty"`
+	TopLogprobs []ChatCompletionTokenLogprobTopLogprob `json:"top_logprobs"`
+}
+
+type ChatCompletionTokenLogprobTopLogprob struct {
+	Token   string  `json:"token"`
+	Bytes   []int64 `json:"bytes"`
+	Logprob float64 `json:"logprob"`
+}
+
+type ChatCompletionStreamChoice struct {
+	Index                int                                 `json:"index"`
+	Delta                ChatCompletionStreamChoiceDelta     `json:"delta"`
+	Logprobs             *ChatCompletionStreamChoiceLogprobs `json:"logprobs,omitempty"`
+	FinishReason         FinishReason                        `json:"finish_reason"`
+	ContentFilterResults ContentFilterResults                `json:"content_filter_results,omitempty"`
+}
+
+type PromptFilterResult struct {
+	Index                int                  `json:"index"`
+	ContentFilterResults ContentFilterResults `json:"content_filter_results,omitempty"`
+}
+
+type ChatCompletionStreamResponse struct {
+	ID                  string                       `json:"id"`
+	Object              string                       `json:"object"`
+	Created             int64                        `json:"created"`
+	Model               string                       `json:"model"`
+	Choices             []ChatCompletionStreamChoice `json:"choices"`
+	SystemFingerprint   string                       `json:"system_fingerprint"`
+	PromptAnnotations   []PromptAnnotation           `json:"prompt_annotations,omitempty"`
+	PromptFilterResults []PromptFilterResult         `json:"prompt_filter_results,omitempty"`
+	// An optional field that will only be present when you set stream_options: {"include_usage": true} in your request.
+	// When present, it contains a null value except for the last chunk which contains the token usage statistics
+	// for the entire request.
+	Usage *Usage `json:"usage,omitempty"`
+}
+
+// ChatCompletionStream
+// Note: Perhaps it is more elegant to abstract Stream using generics.
+type ChatCompletionStream struct {
+	*streamReader[ChatCompletionStreamResponse]
+}
+
+// CreateChatCompletionStream — API call to create a chat completion w/ streaming
+// support. It sets whether to stream back partial progress. If set, tokens will be
+// sent as data-only server-sent events as they become available, with the
+// stream terminated by a data: [DONE] message.
+func (c *Client) CreateChatCompletionStream(
+	ctx context.Context,
+	request ChatCompletionRequest,
+) (stream *ChatCompletionStream, err error) {
+	urlSuffix := chatCompletionsSuffix
+	if !checkEndpointSupportsModel(urlSuffix, request.Model) {
+		err = ErrChatCompletionInvalidModel
+		return
+	}
+
+	request.Stream = true
+	reasoningValidator := NewReasoningValidator()
+	if err = reasoningValidator.Validate(request); err != nil {
+		return
+	}
+
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL(urlSuffix, withModel(request.Model)),
+		withBody(request),
+	)
+	if err != nil {
+		return nil, err
+	}
+
+	resp, err := sendRequestStream[ChatCompletionStreamResponse](c, req)
+	if err != nil {
+		return
+	}
+	stream = &ChatCompletionStream{
+		streamReader: resp,
+	}
+	return
+}

vendor/github.com/sashabaranov/go-openai/client.go

@@ -0,0 +1,341 @@
+package openai
+
+import (
+	"bufio"
+	"context"
+	"encoding/json"
+	"fmt"
+	"io"
+	"net/http"
+	"net/url"
+	"strings"
+
+	utils "github.com/sashabaranov/go-openai/internal"
+)
+
+// Client is OpenAI GPT-3 API client.
+type Client struct {
+	config ClientConfig
+
+	requestBuilder    utils.RequestBuilder
+	createFormBuilder func(io.Writer) utils.FormBuilder
+}
+
+type Response interface {
+	SetHeader(http.Header)
+}
+
+type httpHeader http.Header
+
+func (h *httpHeader) SetHeader(header http.Header) {
+	*h = httpHeader(header)
+}
+
+func (h *httpHeader) Header() http.Header {
+	return http.Header(*h)
+}
+
+func (h *httpHeader) GetRateLimitHeaders() RateLimitHeaders {
+	return newRateLimitHeaders(h.Header())
+}
+
+type RawResponse struct {
+	io.ReadCloser
+
+	httpHeader
+}
+
+// NewClient creates new OpenAI API client.
+func NewClient(authToken string) *Client {
+	config := DefaultConfig(authToken)
+	return NewClientWithConfig(config)
+}
+
+// NewClientWithConfig creates new OpenAI API client for specified config.
+func NewClientWithConfig(config ClientConfig) *Client {
+	return &Client{
+		config:         config,
+		requestBuilder: utils.NewRequestBuilder(),
+		createFormBuilder: func(body io.Writer) utils.FormBuilder {
+			return utils.NewFormBuilder(body)
+		},
+	}
+}
+
+// NewOrgClient creates new OpenAI API client for specified Organization ID.
+//
+// Deprecated: Please use NewClientWithConfig.
+func NewOrgClient(authToken, org string) *Client {
+	config := DefaultConfig(authToken)
+	config.OrgID = org
+	return NewClientWithConfig(config)
+}
+
+type requestOptions struct {
+	body   any
+	header http.Header
+}
+
+type requestOption func(*requestOptions)
+
+func withBody(body any) requestOption {
+	return func(args *requestOptions) {
+		args.body = body
+	}
+}
+
+func withExtraBody(extraBody map[string]any) requestOption {
+	return func(args *requestOptions) {
+		// Assert that args.body is a map[string]any.
+		bodyMap, ok := args.body.(map[string]any)
+		if ok {
+			// If it's a map[string]any then only add extraBody
+			// fields to args.body otherwise keep only fields in request struct.
+			for key, value := range extraBody {
+				bodyMap[key] = value
+			}
+		}
+	}
+}
+
+func withContentType(contentType string) requestOption {
+	return func(args *requestOptions) {
+		args.header.Set("Content-Type", contentType)
+	}
+}
+
+func withBetaAssistantVersion(version string) requestOption {
+	return func(args *requestOptions) {
+		args.header.Set("OpenAI-Beta", fmt.Sprintf("assistants=%s", version))
+	}
+}
+
+func (c *Client) newRequest(ctx context.Context, method, url string, setters ...requestOption) (*http.Request, error) {
+	// Default Options
+	args := &requestOptions{
+		body:   nil,
+		header: make(http.Header),
+	}
+	for _, setter := range setters {
+		setter(args)
+	}
+	req, err := c.requestBuilder.Build(ctx, method, url, args.body, args.header)
+	if err != nil {
+		return nil, err
+	}
+	c.setCommonHeaders(req)
+	return req, nil
+}
+
+func (c *Client) sendRequest(req *http.Request, v Response) error {
+	req.Header.Set("Accept", "application/json")
+
+	// Check whether Content-Type is already set, Upload Files API requires
+	// Content-Type == multipart/form-data
+	contentType := req.Header.Get("Content-Type")
+	if contentType == "" {
+		req.Header.Set("Content-Type", "application/json")
+	}
+
+	res, err := c.config.HTTPClient.Do(req)
+	if err != nil {
+		return err
+	}
+
+	defer res.Body.Close()
+
+	if v != nil {
+		v.SetHeader(res.Header)
+	}
+
+	if isFailureStatusCode(res) {
+		return c.handleErrorResp(res)
+	}
+
+	return decodeResponse(res.Body, v)
+}
+
+func (c *Client) sendRequestRaw(req *http.Request) (response RawResponse, err error) {
+	resp, err := c.config.HTTPClient.Do(req) //nolint:bodyclose // body should be closed by outer function
+	if err != nil {
+		return
+	}
+
+	if isFailureStatusCode(resp) {
+		err = c.handleErrorResp(resp)
+		return
+	}
+
+	response.SetHeader(resp.Header)
+	response.ReadCloser = resp.Body
+	return
+}
+
+func sendRequestStream[T streamable](client *Client, req *http.Request) (*streamReader[T], error) {
+	req.Header.Set("Content-Type", "application/json")
+	req.Header.Set("Accept", "text/event-stream")
+	req.Header.Set("Cache-Control", "no-cache")
+	req.Header.Set("Connection", "keep-alive")
+
+	resp, err := client.config.HTTPClient.Do(req) //nolint:bodyclose // body is closed in stream.Close()
+	if err != nil {
+		return new(streamReader[T]), err
+	}
+	if isFailureStatusCode(resp) {
+		return new(streamReader[T]), client.handleErrorResp(resp)
+	}
+	return &streamReader[T]{
+		emptyMessagesLimit: client.config.EmptyMessagesLimit,
+		reader:             bufio.NewReader(resp.Body),
+		response:           resp,
+		errAccumulator:     utils.NewErrorAccumulator(),
+		unmarshaler:        &utils.JSONUnmarshaler{},
+		httpHeader:         httpHeader(resp.Header),
+	}, nil
+}
+
+func (c *Client) setCommonHeaders(req *http.Request) {
+	// https://learn.microsoft.com/en-us/azure/cognitive-services/openai/reference#authentication
+	switch c.config.APIType {
+	case APITypeAzure, APITypeCloudflareAzure:
+		// Azure API Key authentication
+		req.Header.Set(AzureAPIKeyHeader, c.config.authToken)
+	case APITypeAnthropic:
+		// https://docs.anthropic.com/en/api/versioning
+		req.Header.Set("anthropic-version", c.config.APIVersion)
+	case APITypeOpenAI, APITypeAzureAD:
+		fallthrough
+	default:
+		if c.config.authToken != "" {
+			req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", c.config.authToken))
+		}
+	}
+
+	if c.config.OrgID != "" {
+		req.Header.Set("OpenAI-Organization", c.config.OrgID)
+	}
+}
+
+func isFailureStatusCode(resp *http.Response) bool {
+	return resp.StatusCode < http.StatusOK || resp.StatusCode >= http.StatusBadRequest
+}
+
+func decodeResponse(body io.Reader, v any) error {
+	if v == nil {
+		return nil
+	}
+
+	switch o := v.(type) {
+	case *string:
+		return decodeString(body, o)
+	case *audioTextResponse:
+		return decodeString(body, &o.Text)
+	default:
+		return json.NewDecoder(body).Decode(v)
+	}
+}
+
+func decodeString(body io.Reader, output *string) error {
+	b, err := io.ReadAll(body)
+	if err != nil {
+		return err
+	}
+	*output = string(b)
+	return nil
+}
+
+type fullURLOptions struct {
+	model string
+}
+
+type fullURLOption func(*fullURLOptions)
+
+func withModel(model string) fullURLOption {
+	return func(args *fullURLOptions) {
+		args.model = model
+	}
+}
+
+var azureDeploymentsEndpoints = []string{
+	"/completions",
+	"/embeddings",
+	"/chat/completions",
+	"/audio/transcriptions",
+	"/audio/translations",
+	"/audio/speech",
+	"/images/generations",
+}
+
+// fullURL returns full URL for request.
+func (c *Client) fullURL(suffix string, setters ...fullURLOption) string {
+	baseURL := strings.TrimRight(c.config.BaseURL, "/")
+	args := fullURLOptions{}
+	for _, setter := range setters {
+		setter(&args)
+	}
+
+	if c.config.APIType == APITypeAzure || c.config.APIType == APITypeAzureAD {
+		baseURL = c.baseURLWithAzureDeployment(baseURL, suffix, args.model)
+	}
+
+	if c.config.APIVersion != "" {
+		suffix = c.suffixWithAPIVersion(suffix)
+	}
+	return fmt.Sprintf("%s%s", baseURL, suffix)
+}
+
+func (c *Client) suffixWithAPIVersion(suffix string) string {
+	parsedSuffix, err := url.Parse(suffix)
+	if err != nil {
+		panic("failed to parse url suffix")
+	}
+	query := parsedSuffix.Query()
+	query.Add("api-version", c.config.APIVersion)
+	return fmt.Sprintf("%s?%s", parsedSuffix.Path, query.Encode())
+}
+
+func (c *Client) baseURLWithAzureDeployment(baseURL, suffix, model string) (newBaseURL string) {
+	baseURL = fmt.Sprintf("%s/%s", strings.TrimRight(baseURL, "/"), azureAPIPrefix)
+	if containsSubstr(azureDeploymentsEndpoints, suffix) {
+		azureDeploymentName := c.config.GetAzureDeploymentByModel(model)
+		if azureDeploymentName == "" {
+			azureDeploymentName = "UNKNOWN"
+		}
+		baseURL = fmt.Sprintf("%s/%s/%s", baseURL, azureDeploymentsPrefix, azureDeploymentName)
+	}
+	return baseURL
+}
+
+func (c *Client) handleErrorResp(resp *http.Response) error {
+	body, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return fmt.Errorf("error, reading response body: %w", err)
+	}
+	var errRes ErrorResponse
+	err = json.Unmarshal(body, &errRes)
+	if err != nil || errRes.Error == nil {
+		reqErr := &RequestError{
+			HTTPStatus:     resp.Status,
+			HTTPStatusCode: resp.StatusCode,
+			Err:            err,
+			Body:           body,
+		}
+		if errRes.Error != nil {
+			reqErr.Err = errRes.Error
+		}
+		return reqErr
+	}
+
+	errRes.Error.HTTPStatus = resp.Status
+	errRes.Error.HTTPStatusCode = resp.StatusCode
+	return errRes.Error
+}
+
+func containsSubstr(s []string, e string) bool {
+	for _, v := range s {
+		if strings.Contains(e, v) {
+			return true
+		}
+	}
+	return false
+}

vendor/github.com/sashabaranov/go-openai/common.go

@@ -0,0 +1,26 @@
+package openai
+
+// common.go defines common types used throughout the OpenAI API.
+
+// Usage Represents the total token usage per request to OpenAI.
+type Usage struct {
+	PromptTokens            int                      `json:"prompt_tokens"`
+	CompletionTokens        int                      `json:"completion_tokens"`
+	TotalTokens             int                      `json:"total_tokens"`
+	PromptTokensDetails     *PromptTokensDetails     `json:"prompt_tokens_details"`
+	CompletionTokensDetails *CompletionTokensDetails `json:"completion_tokens_details"`
+}
+
+// CompletionTokensDetails Breakdown of tokens used in a completion.
+type CompletionTokensDetails struct {
+	AudioTokens              int `json:"audio_tokens"`
+	ReasoningTokens          int `json:"reasoning_tokens"`
+	AcceptedPredictionTokens int `json:"accepted_prediction_tokens"`
+	RejectedPredictionTokens int `json:"rejected_prediction_tokens"`
+}
+
+// PromptTokensDetails Breakdown of tokens used in the prompt.
+type PromptTokensDetails struct {
+	AudioTokens  int `json:"audio_tokens"`
+	CachedTokens int `json:"cached_tokens"`
+}

vendor/github.com/sashabaranov/go-openai/completion.go

@@ -0,0 +1,295 @@
+package openai
+
+import (
+	"context"
+	"net/http"
+)
+
+// GPT3 Defines the models provided by OpenAI to use when generating
+// completions from OpenAI.
+// GPT3 Models are designed for text-based tasks. For code-specific
+// tasks, please refer to the Codex series of models.
+const (
+	O1Mini                  = "o1-mini"
+	O1Mini20240912          = "o1-mini-2024-09-12"
+	O1Preview               = "o1-preview"
+	O1Preview20240912       = "o1-preview-2024-09-12"
+	O1                      = "o1"
+	O120241217              = "o1-2024-12-17"
+	O3                      = "o3"
+	O320250416              = "o3-2025-04-16"
+	O3Mini                  = "o3-mini"
+	O3Mini20250131          = "o3-mini-2025-01-31"
+	O4Mini                  = "o4-mini"
+	O4Mini20250416          = "o4-mini-2025-04-16"
+	GPT432K0613             = "gpt-4-32k-0613"
+	GPT432K0314             = "gpt-4-32k-0314"
+	GPT432K                 = "gpt-4-32k"
+	GPT40613                = "gpt-4-0613"
+	GPT40314                = "gpt-4-0314"
+	GPT4o                   = "gpt-4o"
+	GPT4o20240513           = "gpt-4o-2024-05-13"
+	GPT4o20240806           = "gpt-4o-2024-08-06"
+	GPT4o20241120           = "gpt-4o-2024-11-20"
+	GPT4oLatest             = "chatgpt-4o-latest"
+	GPT4oMini               = "gpt-4o-mini"
+	GPT4oMini20240718       = "gpt-4o-mini-2024-07-18"
+	GPT4Turbo               = "gpt-4-turbo"
+	GPT4Turbo20240409       = "gpt-4-turbo-2024-04-09"
+	GPT4Turbo0125           = "gpt-4-0125-preview"
+	GPT4Turbo1106           = "gpt-4-1106-preview"
+	GPT4TurboPreview        = "gpt-4-turbo-preview"
+	GPT4VisionPreview       = "gpt-4-vision-preview"
+	GPT4                    = "gpt-4"
+	GPT4Dot1                = "gpt-4.1"
+	GPT4Dot120250414        = "gpt-4.1-2025-04-14"
+	GPT4Dot1Mini            = "gpt-4.1-mini"
+	GPT4Dot1Mini20250414    = "gpt-4.1-mini-2025-04-14"
+	GPT4Dot1Nano            = "gpt-4.1-nano"
+	GPT4Dot1Nano20250414    = "gpt-4.1-nano-2025-04-14"
+	GPT4Dot5Preview         = "gpt-4.5-preview"
+	GPT4Dot5Preview20250227 = "gpt-4.5-preview-2025-02-27"
+	GPT5                    = "gpt-5"
+	GPT5Mini                = "gpt-5-mini"
+	GPT5Nano                = "gpt-5-nano"
+	GPT5ChatLatest          = "gpt-5-chat-latest"
+	GPT3Dot5Turbo0125       = "gpt-3.5-turbo-0125"
+	GPT3Dot5Turbo1106       = "gpt-3.5-turbo-1106"
+	GPT3Dot5Turbo0613       = "gpt-3.5-turbo-0613"
+	GPT3Dot5Turbo0301       = "gpt-3.5-turbo-0301"
+	GPT3Dot5Turbo16K        = "gpt-3.5-turbo-16k"
+	GPT3Dot5Turbo16K0613    = "gpt-3.5-turbo-16k-0613"
+	GPT3Dot5Turbo           = "gpt-3.5-turbo"
+	GPT3Dot5TurboInstruct   = "gpt-3.5-turbo-instruct"
+	// Deprecated: Model is shutdown. Use gpt-3.5-turbo-instruct instead.
+	GPT3TextDavinci003 = "text-davinci-003"
+	// Deprecated: Model is shutdown. Use gpt-3.5-turbo-instruct instead.
+	GPT3TextDavinci002 = "text-davinci-002"
+	// Deprecated: Model is shutdown. Use gpt-3.5-turbo-instruct instead.
+	GPT3TextCurie001 = "text-curie-001"
+	// Deprecated: Model is shutdown. Use gpt-3.5-turbo-instruct instead.
+	GPT3TextBabbage001 = "text-babbage-001"
+	// Deprecated: Model is shutdown. Use gpt-3.5-turbo-instruct instead.
+	GPT3TextAda001 = "text-ada-001"
+	// Deprecated: Model is shutdown. Use gpt-3.5-turbo-instruct instead.
+	GPT3TextDavinci001 = "text-davinci-001"
+	// Deprecated: Model is shutdown. Use gpt-3.5-turbo-instruct instead.
+	GPT3DavinciInstructBeta = "davinci-instruct-beta"
+	// Deprecated: Model is shutdown. Use davinci-002 instead.
+	GPT3Davinci    = "davinci"
+	GPT3Davinci002 = "davinci-002"
+	// Deprecated: Model is shutdown. Use gpt-3.5-turbo-instruct instead.
+	GPT3CurieInstructBeta = "curie-instruct-beta"
+	GPT3Curie             = "curie"
+	GPT3Curie002          = "curie-002"
+	// Deprecated: Model is shutdown. Use babbage-002 instead.
+	GPT3Ada    = "ada"
+	GPT3Ada002 = "ada-002"
+	// Deprecated: Model is shutdown. Use babbage-002 instead.
+	GPT3Babbage    = "babbage"
+	GPT3Babbage002 = "babbage-002"
+)
+
+// Codex Defines the models provided by OpenAI.
+// These models are designed for code-specific tasks, and use
+// a different tokenizer which optimizes for whitespace.
+const (
+	CodexCodeDavinci002 = "code-davinci-002"
+	CodexCodeCushman001 = "code-cushman-001"
+	CodexCodeDavinci001 = "code-davinci-001"
+)
+
+var disabledModelsForEndpoints = map[string]map[string]bool{
+	"/completions": {
+		O1Mini:                  true,
+		O1Mini20240912:          true,
+		O1Preview:               true,
+		O1Preview20240912:       true,
+		O3Mini:                  true,
+		O3Mini20250131:          true,
+		O4Mini:                  true,
+		O4Mini20250416:          true,
+		O3:                      true,
+		O320250416:              true,
+		GPT3Dot5Turbo:           true,
+		GPT3Dot5Turbo0301:       true,
+		GPT3Dot5Turbo0613:       true,
+		GPT3Dot5Turbo1106:       true,
+		GPT3Dot5Turbo0125:       true,
+		GPT3Dot5Turbo16K:        true,
+		GPT3Dot5Turbo16K0613:    true,
+		GPT4:                    true,
+		GPT4Dot5Preview:         true,
+		GPT4Dot5Preview20250227: true,
+		GPT4o:                   true,
+		GPT4o20240513:           true,
+		GPT4o20240806:           true,
+		GPT4o20241120:           true,
+		GPT4oLatest:             true,
+		GPT4oMini:               true,
+		GPT4oMini20240718:       true,
+		GPT4TurboPreview:        true,
+		GPT4VisionPreview:       true,
+		GPT4Turbo1106:           true,
+		GPT4Turbo0125:           true,
+		GPT4Turbo:               true,
+		GPT4Turbo20240409:       true,
+		GPT40314:                true,
+		GPT40613:                true,
+		GPT432K:                 true,
+		GPT432K0314:             true,
+		GPT432K0613:             true,
+		O1:                      true,
+		GPT4Dot1:                true,
+		GPT4Dot120250414:        true,
+		GPT4Dot1Mini:            true,
+		GPT4Dot1Mini20250414:    true,
+		GPT4Dot1Nano:            true,
+		GPT4Dot1Nano20250414:    true,
+		GPT5:                    true,
+		GPT5Mini:                true,
+		GPT5Nano:                true,
+		GPT5ChatLatest:          true,
+	},
+	chatCompletionsSuffix: {
+		CodexCodeDavinci002:     true,
+		CodexCodeCushman001:     true,
+		CodexCodeDavinci001:     true,
+		GPT3TextDavinci003:      true,
+		GPT3TextDavinci002:      true,
+		GPT3TextCurie001:        true,
+		GPT3TextBabbage001:      true,
+		GPT3TextAda001:          true,
+		GPT3TextDavinci001:      true,
+		GPT3DavinciInstructBeta: true,
+		GPT3Davinci:             true,
+		GPT3CurieInstructBeta:   true,
+		GPT3Curie:               true,
+		GPT3Ada:                 true,
+		GPT3Babbage:             true,
+	},
+}
+
+func checkEndpointSupportsModel(endpoint, model string) bool {
+	return !disabledModelsForEndpoints[endpoint][model]
+}
+
+func checkPromptType(prompt any) bool {
+	_, isString := prompt.(string)
+	_, isStringSlice := prompt.([]string)
+	if isString || isStringSlice {
+		return true
+	}
+
+	// check if it is prompt is []string hidden under []any
+	slice, isSlice := prompt.([]any)
+	if !isSlice {
+		return false
+	}
+
+	for _, item := range slice {
+		_, itemIsString := item.(string)
+		if !itemIsString {
+			return false
+		}
+	}
+	return true // all items in the slice are string, so it is []string
+}
+
+// CompletionRequest represents a request structure for completion API.
+type CompletionRequest struct {
+	Model            string  `json:"model"`
+	Prompt           any     `json:"prompt,omitempty"`
+	BestOf           int     `json:"best_of,omitempty"`
+	Echo             bool    `json:"echo,omitempty"`
+	FrequencyPenalty float32 `json:"frequency_penalty,omitempty"`
+	// LogitBias is must be a token id string (specified by their token ID in the tokenizer), not a word string.
+	// incorrect: `"logit_bias":{"You": 6}`, correct: `"logit_bias":{"1639": 6}`
+	// refs: https://platform.openai.com/docs/api-reference/completions/create#completions/create-logit_bias
+	LogitBias map[string]int `json:"logit_bias,omitempty"`
+	// Store can be set to true to store the output of this completion request for use in distillations and evals.
+	// https://platform.openai.com/docs/api-reference/chat/create#chat-create-store
+	Store bool `json:"store,omitempty"`
+	// Metadata to store with the completion.
+	Metadata        map[string]string `json:"metadata,omitempty"`
+	LogProbs        int               `json:"logprobs,omitempty"`
+	MaxTokens       int               `json:"max_tokens,omitempty"`
+	N               int               `json:"n,omitempty"`
+	PresencePenalty float32           `json:"presence_penalty,omitempty"`
+	Seed            *int              `json:"seed,omitempty"`
+	Stop            []string          `json:"stop,omitempty"`
+	Stream          bool              `json:"stream,omitempty"`
+	Suffix          string            `json:"suffix,omitempty"`
+	Temperature     float32           `json:"temperature,omitempty"`
+	TopP            float32           `json:"top_p,omitempty"`
+	User            string            `json:"user,omitempty"`
+	// Options for streaming response. Only set this when you set stream: true.
+	StreamOptions *StreamOptions `json:"stream_options,omitempty"`
+}
+
+// CompletionChoice represents one of possible completions.
+type CompletionChoice struct {
+	Text         string        `json:"text"`
+	Index        int           `json:"index"`
+	FinishReason string        `json:"finish_reason"`
+	LogProbs     LogprobResult `json:"logprobs"`
+}
+
+// LogprobResult represents logprob result of Choice.
+type LogprobResult struct {
+	Tokens        []string             `json:"tokens"`
+	TokenLogprobs []float32            `json:"token_logprobs"`
+	TopLogprobs   []map[string]float32 `json:"top_logprobs"`
+	TextOffset    []int                `json:"text_offset"`
+}
+
+// CompletionResponse represents a response structure for completion API.
+type CompletionResponse struct {
+	ID      string             `json:"id"`
+	Object  string             `json:"object"`
+	Created int64              `json:"created"`
+	Model   string             `json:"model"`
+	Choices []CompletionChoice `json:"choices"`
+	Usage   *Usage             `json:"usage,omitempty"`
+
+	httpHeader
+}
+
+// CreateCompletion — API call to create a completion. This is the main endpoint of the API. Returns new text as well
+// as, if requested, the probabilities over each alternative token at each position.
+//
+// If using a fine-tuned model, simply provide the model's ID in the CompletionRequest object,
+// and the server will use the model's parameters to generate the completion.
+func (c *Client) CreateCompletion(
+	ctx context.Context,
+	request CompletionRequest,
+) (response CompletionResponse, err error) {
+	if request.Stream {
+		err = ErrCompletionStreamNotSupported
+		return
+	}
+
+	urlSuffix := "/completions"
+	if !checkEndpointSupportsModel(urlSuffix, request.Model) {
+		err = ErrCompletionUnsupportedModel
+		return
+	}
+
+	if !checkPromptType(request.Prompt) {
+		err = ErrCompletionRequestPromptTypeNotSupported
+		return
+	}
+
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL(urlSuffix, withModel(request.Model)),
+		withBody(request),
+	)
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}

vendor/github.com/sashabaranov/go-openai/config.go

@@ -0,0 +1,109 @@
+package openai
+
+import (
+	"net/http"
+	"regexp"
+)
+
+const (
+	openaiAPIURLv1                 = "https://api.openai.com/v1"
+	defaultEmptyMessagesLimit uint = 300
+
+	azureAPIPrefix         = "openai"
+	azureDeploymentsPrefix = "deployments"
+
+	AnthropicAPIVersion = "2023-06-01"
+)
+
+type APIType string
+
+const (
+	APITypeOpenAI          APIType = "OPEN_AI"
+	APITypeAzure           APIType = "AZURE"
+	APITypeAzureAD         APIType = "AZURE_AD"
+	APITypeCloudflareAzure APIType = "CLOUDFLARE_AZURE"
+	APITypeAnthropic       APIType = "ANTHROPIC"
+)
+
+const AzureAPIKeyHeader = "api-key"
+
+const defaultAssistantVersion = "v2" // upgrade to v2 to support vector store
+
+type HTTPDoer interface {
+	Do(req *http.Request) (*http.Response, error)
+}
+
+// ClientConfig is a configuration of a client.
+type ClientConfig struct {
+	authToken string
+
+	BaseURL              string
+	OrgID                string
+	APIType              APIType
+	APIVersion           string // required when APIType is APITypeAzure or APITypeAzureAD or APITypeAnthropic
+	AssistantVersion     string
+	AzureModelMapperFunc func(model string) string // replace model to azure deployment name func
+	HTTPClient           HTTPDoer
+
+	EmptyMessagesLimit uint
+}
+
+func DefaultConfig(authToken string) ClientConfig {
+	return ClientConfig{
+		authToken:        authToken,
+		BaseURL:          openaiAPIURLv1,
+		APIType:          APITypeOpenAI,
+		AssistantVersion: defaultAssistantVersion,
+		OrgID:            "",
+
+		HTTPClient: &http.Client{},
+
+		EmptyMessagesLimit: defaultEmptyMessagesLimit,
+	}
+}
+
+func DefaultAzureConfig(apiKey, baseURL string) ClientConfig {
+	return ClientConfig{
+		authToken:  apiKey,
+		BaseURL:    baseURL,
+		OrgID:      "",
+		APIType:    APITypeAzure,
+		APIVersion: "2023-05-15",
+		AzureModelMapperFunc: func(model string) string {
+			return regexp.MustCompile(`[.:]`).ReplaceAllString(model, "")
+		},
+
+		HTTPClient: &http.Client{},
+
+		EmptyMessagesLimit: defaultEmptyMessagesLimit,
+	}
+}
+
+func DefaultAnthropicConfig(apiKey, baseURL string) ClientConfig {
+	if baseURL == "" {
+		baseURL = "https://api.anthropic.com/v1"
+	}
+	return ClientConfig{
+		authToken:  apiKey,
+		BaseURL:    baseURL,
+		OrgID:      "",
+		APIType:    APITypeAnthropic,
+		APIVersion: AnthropicAPIVersion,
+
+		HTTPClient: &http.Client{},
+
+		EmptyMessagesLimit: defaultEmptyMessagesLimit,
+	}
+}
+
+func (ClientConfig) String() string {
+	return "<OpenAI API ClientConfig>"
+}
+
+func (c ClientConfig) GetAzureDeploymentByModel(model string) string {
+	if c.AzureModelMapperFunc != nil {
+		return c.AzureModelMapperFunc(model)
+	}
+
+	return model
+}

vendor/github.com/sashabaranov/go-openai/edits.go

@@ -0,0 +1,53 @@
+package openai
+
+import (
+	"context"
+	"fmt"
+	"net/http"
+)
+
+// EditsRequest represents a request structure for Edits API.
+type EditsRequest struct {
+	Model       *string `json:"model,omitempty"`
+	Input       string  `json:"input,omitempty"`
+	Instruction string  `json:"instruction,omitempty"`
+	N           int     `json:"n,omitempty"`
+	Temperature float32 `json:"temperature,omitempty"`
+	TopP        float32 `json:"top_p,omitempty"`
+}
+
+// EditsChoice represents one of possible edits.
+type EditsChoice struct {
+	Text  string `json:"text"`
+	Index int    `json:"index"`
+}
+
+// EditsResponse represents a response structure for Edits API.
+type EditsResponse struct {
+	Object  string        `json:"object"`
+	Created int64         `json:"created"`
+	Usage   Usage         `json:"usage"`
+	Choices []EditsChoice `json:"choices"`
+
+	httpHeader
+}
+
+// Edits Perform an API call to the Edits endpoint.
+/* Deprecated: Users of the Edits API and its associated models (e.g., text-davinci-edit-001 or code-davinci-edit-001)
+will need to migrate to GPT-3.5 Turbo by January 4, 2024.
+You can use CreateChatCompletion or CreateChatCompletionStream instead.
+*/
+func (c *Client) Edits(ctx context.Context, request EditsRequest) (response EditsResponse, err error) {
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL("/edits", withModel(fmt.Sprint(request.Model))),
+		withBody(request),
+	)
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}

vendor/github.com/sashabaranov/go-openai/embeddings.go

@@ -0,0 +1,297 @@
+package openai
+
+import (
+	"context"
+	"encoding/base64"
+	"encoding/binary"
+	"encoding/json"
+	"errors"
+	"math"
+	"net/http"
+)
+
+var ErrVectorLengthMismatch = errors.New("vector length mismatch")
+
+// EmbeddingModel enumerates the models which can be used
+// to generate Embedding vectors.
+type EmbeddingModel string
+
+const (
+	// Deprecated: The following block is shut down. Use text-embedding-ada-002 instead.
+	AdaSimilarity         EmbeddingModel = "text-similarity-ada-001"
+	BabbageSimilarity     EmbeddingModel = "text-similarity-babbage-001"
+	CurieSimilarity       EmbeddingModel = "text-similarity-curie-001"
+	DavinciSimilarity     EmbeddingModel = "text-similarity-davinci-001"
+	AdaSearchDocument     EmbeddingModel = "text-search-ada-doc-001"
+	AdaSearchQuery        EmbeddingModel = "text-search-ada-query-001"
+	BabbageSearchDocument EmbeddingModel = "text-search-babbage-doc-001"
+	BabbageSearchQuery    EmbeddingModel = "text-search-babbage-query-001"
+	CurieSearchDocument   EmbeddingModel = "text-search-curie-doc-001"
+	CurieSearchQuery      EmbeddingModel = "text-search-curie-query-001"
+	DavinciSearchDocument EmbeddingModel = "text-search-davinci-doc-001"
+	DavinciSearchQuery    EmbeddingModel = "text-search-davinci-query-001"
+	AdaCodeSearchCode     EmbeddingModel = "code-search-ada-code-001"
+	AdaCodeSearchText     EmbeddingModel = "code-search-ada-text-001"
+	BabbageCodeSearchCode EmbeddingModel = "code-search-babbage-code-001"
+	BabbageCodeSearchText EmbeddingModel = "code-search-babbage-text-001"
+
+	AdaEmbeddingV2  EmbeddingModel = "text-embedding-ada-002"
+	SmallEmbedding3 EmbeddingModel = "text-embedding-3-small"
+	LargeEmbedding3 EmbeddingModel = "text-embedding-3-large"
+)
+
+// Embedding is a special format of data representation that can be easily utilized by machine
+// learning models and algorithms. The embedding is an information dense representation of the
+// semantic meaning of a piece of text. Each embedding is a vector of floating point numbers,
+// such that the distance between two embeddings in the vector space is correlated with semantic similarity
+// between two inputs in the original format. For example, if two texts are similar,
+// then their vector representations should also be similar.
+type Embedding struct {
+	Object    string    `json:"object"`
+	Embedding []float32 `json:"embedding"`
+	Index     int       `json:"index"`
+}
+
+// DotProduct calculates the dot product of the embedding vector with another
+// embedding vector. Both vectors must have the same length; otherwise, an
+// ErrVectorLengthMismatch is returned. The method returns the calculated dot
+// product as a float32 value.
+func (e *Embedding) DotProduct(other *Embedding) (float32, error) {
+	if len(e.Embedding) != len(other.Embedding) {
+		return 0, ErrVectorLengthMismatch
+	}
+
+	var dotProduct float32
+	for i := range e.Embedding {
+		dotProduct += e.Embedding[i] * other.Embedding[i]
+	}
+
+	return dotProduct, nil
+}
+
+// EmbeddingResponse is the response from a Create embeddings request.
+type EmbeddingResponse struct {
+	Object string         `json:"object"`
+	Data   []Embedding    `json:"data"`
+	Model  EmbeddingModel `json:"model"`
+	Usage  Usage          `json:"usage"`
+
+	httpHeader
+}
+
+type base64String string
+
+func (b base64String) Decode() ([]float32, error) {
+	decodedData, err := base64.StdEncoding.DecodeString(string(b))
+	if err != nil {
+		return nil, err
+	}
+
+	const sizeOfFloat32 = 4
+	floats := make([]float32, len(decodedData)/sizeOfFloat32)
+	for i := 0; i < len(floats); i++ {
+		floats[i] = math.Float32frombits(binary.LittleEndian.Uint32(decodedData[i*4 : (i+1)*4]))
+	}
+
+	return floats, nil
+}
+
+// Base64Embedding is a container for base64 encoded embeddings.
+type Base64Embedding struct {
+	Object    string       `json:"object"`
+	Embedding base64String `json:"embedding"`
+	Index     int          `json:"index"`
+}
+
+// EmbeddingResponseBase64 is the response from a Create embeddings request with base64 encoding format.
+type EmbeddingResponseBase64 struct {
+	Object string            `json:"object"`
+	Data   []Base64Embedding `json:"data"`
+	Model  EmbeddingModel    `json:"model"`
+	Usage  Usage             `json:"usage"`
+
+	httpHeader
+}
+
+// ToEmbeddingResponse converts an embeddingResponseBase64 to an EmbeddingResponse.
+func (r *EmbeddingResponseBase64) ToEmbeddingResponse() (EmbeddingResponse, error) {
+	data := make([]Embedding, len(r.Data))
+
+	for i, base64Embedding := range r.Data {
+		embedding, err := base64Embedding.Embedding.Decode()
+		if err != nil {
+			return EmbeddingResponse{}, err
+		}
+
+		data[i] = Embedding{
+			Object:    base64Embedding.Object,
+			Embedding: embedding,
+			Index:     base64Embedding.Index,
+		}
+	}
+
+	return EmbeddingResponse{
+		Object: r.Object,
+		Model:  r.Model,
+		Data:   data,
+		Usage:  r.Usage,
+	}, nil
+}
+
+type EmbeddingRequestConverter interface {
+	// Needs to be of type EmbeddingRequestStrings or EmbeddingRequestTokens
+	Convert() EmbeddingRequest
+}
+
+// EmbeddingEncodingFormat is the format of the embeddings data.
+// Currently, only "float" and "base64" are supported, however, "base64" is not officially documented.
+// If not specified OpenAI will use "float".
+type EmbeddingEncodingFormat string
+
+const (
+	EmbeddingEncodingFormatFloat  EmbeddingEncodingFormat = "float"
+	EmbeddingEncodingFormatBase64 EmbeddingEncodingFormat = "base64"
+)
+
+type EmbeddingRequest struct {
+	Input          any                     `json:"input"`
+	Model          EmbeddingModel          `json:"model"`
+	User           string                  `json:"user,omitempty"`
+	EncodingFormat EmbeddingEncodingFormat `json:"encoding_format,omitempty"`
+	// Dimensions The number of dimensions the resulting output embeddings should have.
+	// Only supported in text-embedding-3 and later models.
+	Dimensions int `json:"dimensions,omitempty"`
+	// The ExtraBody field allows for the inclusion of arbitrary key-value pairs
+	// in the request body that may not be explicitly defined in this struct.
+	ExtraBody map[string]any `json:"extra_body,omitempty"`
+}
+
+func (r EmbeddingRequest) Convert() EmbeddingRequest {
+	return r
+}
+
+// EmbeddingRequestStrings is the input to a create embeddings request with a slice of strings.
+type EmbeddingRequestStrings struct {
+	// Input is a slice of strings for which you want to generate an Embedding vector.
+	// Each input must not exceed 8192 tokens in length.
+	// OpenAPI suggests replacing newlines (\n) in your input with a single space, as they
+	// have observed inferior results when newlines are present.
+	// E.g.
+	//	"The food was delicious and the waiter..."
+	Input []string `json:"input"`
+	// ID of the model to use. You can use the List models API to see all of your available models,
+	// or see our Model overview for descriptions of them.
+	Model EmbeddingModel `json:"model"`
+	// A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse.
+	User string `json:"user"`
+	// EmbeddingEncodingFormat is the format of the embeddings data.
+	// Currently, only "float" and "base64" are supported, however, "base64" is not officially documented.
+	// If not specified OpenAI will use "float".
+	EncodingFormat EmbeddingEncodingFormat `json:"encoding_format,omitempty"`
+	// Dimensions The number of dimensions the resulting output embeddings should have.
+	// Only supported in text-embedding-3 and later models.
+	Dimensions int `json:"dimensions,omitempty"`
+	// The ExtraBody field allows for the inclusion of arbitrary key-value pairs
+	// in the request body that may not be explicitly defined in this struct.
+	ExtraBody map[string]any `json:"extra_body,omitempty"`
+}
+
+func (r EmbeddingRequestStrings) Convert() EmbeddingRequest {
+	return EmbeddingRequest{
+		Input:          r.Input,
+		Model:          r.Model,
+		User:           r.User,
+		EncodingFormat: r.EncodingFormat,
+		Dimensions:     r.Dimensions,
+		ExtraBody:      r.ExtraBody,
+	}
+}
+
+type EmbeddingRequestTokens struct {
+	// Input is a slice of slices of ints ([][]int) for which you want to generate an Embedding vector.
+	// Each input must not exceed 8192 tokens in length.
+	// OpenAPI suggests replacing newlines (\n) in your input with a single space, as they
+	// have observed inferior results when newlines are present.
+	// E.g.
+	//	"The food was delicious and the waiter..."
+	Input [][]int `json:"input"`
+	// ID of the model to use. You can use the List models API to see all of your available models,
+	// or see our Model overview for descriptions of them.
+	Model EmbeddingModel `json:"model"`
+	// A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse.
+	User string `json:"user"`
+	// EmbeddingEncodingFormat is the format of the embeddings data.
+	// Currently, only "float" and "base64" are supported, however, "base64" is not officially documented.
+	// If not specified OpenAI will use "float".
+	EncodingFormat EmbeddingEncodingFormat `json:"encoding_format,omitempty"`
+	// Dimensions The number of dimensions the resulting output embeddings should have.
+	// Only supported in text-embedding-3 and later models.
+	Dimensions int `json:"dimensions,omitempty"`
+	// The ExtraBody field allows for the inclusion of arbitrary key-value pairs
+	// in the request body that may not be explicitly defined in this struct.
+	ExtraBody map[string]any `json:"extra_body,omitempty"`
+}
+
+func (r EmbeddingRequestTokens) Convert() EmbeddingRequest {
+	return EmbeddingRequest{
+		Input:          r.Input,
+		Model:          r.Model,
+		User:           r.User,
+		EncodingFormat: r.EncodingFormat,
+		Dimensions:     r.Dimensions,
+		ExtraBody:      r.ExtraBody,
+	}
+}
+
+// CreateEmbeddings returns an EmbeddingResponse which will contain an Embedding for every item in |body.Input|.
+// https://beta.openai.com/docs/api-reference/embeddings/create
+//
+// Body should be of type EmbeddingRequestStrings for embedding strings or EmbeddingRequestTokens
+// for embedding groups of text already converted to tokens.
+func (c *Client) CreateEmbeddings(
+	ctx context.Context,
+	conv EmbeddingRequestConverter,
+) (res EmbeddingResponse, err error) {
+	baseReq := conv.Convert()
+
+	// The body map is used to dynamically construct the request payload for the embedding API.
+	// Instead of relying on a fixed struct, the body map allows for flexible inclusion of fields
+	// based on their presence, avoiding unnecessary or empty fields in the request.
+	extraBody := baseReq.ExtraBody
+	baseReq.ExtraBody = nil
+
+	// Serialize baseReq to JSON
+	jsonData, err := json.Marshal(baseReq)
+	if err != nil {
+		return
+	}
+
+	// Deserialize JSON to map[string]any
+	var body map[string]any
+	_ = json.Unmarshal(jsonData, &body)
+
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL("/embeddings", withModel(string(baseReq.Model))),
+		withBody(body),           // Main request body.
+		withExtraBody(extraBody), // Merge ExtraBody fields.
+	)
+	if err != nil {
+		return
+	}
+
+	if baseReq.EncodingFormat != EmbeddingEncodingFormatBase64 {
+		err = c.sendRequest(req, &res)
+		return
+	}
+
+	base64Response := &EmbeddingResponseBase64{}
+	err = c.sendRequest(req, base64Response)
+	if err != nil {
+		return
+	}
+
+	res, err = base64Response.ToEmbeddingResponse()
+	return
+}

vendor/github.com/sashabaranov/go-openai/engines.go

@@ -0,0 +1,52 @@
+package openai
+
+import (
+	"context"
+	"fmt"
+	"net/http"
+)
+
+// Engine struct represents engine from OpenAPI API.
+type Engine struct {
+	ID     string `json:"id"`
+	Object string `json:"object"`
+	Owner  string `json:"owner"`
+	Ready  bool   `json:"ready"`
+
+	httpHeader
+}
+
+// EnginesList is a list of engines.
+type EnginesList struct {
+	Engines []Engine `json:"data"`
+
+	httpHeader
+}
+
+// ListEngines Lists the currently available engines, and provides basic
+// information about each option such as the owner and availability.
+func (c *Client) ListEngines(ctx context.Context) (engines EnginesList, err error) {
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL("/engines"))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &engines)
+	return
+}
+
+// GetEngine Retrieves an engine instance, providing basic information about
+// the engine such as the owner and availability.
+func (c *Client) GetEngine(
+	ctx context.Context,
+	engineID string,
+) (engine Engine, err error) {
+	urlSuffix := fmt.Sprintf("/engines/%s", engineID)
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &engine)
+	return
+}

vendor/github.com/sashabaranov/go-openai/error.go

@@ -0,0 +1,115 @@
+package openai
+
+import (
+	"encoding/json"
+	"fmt"
+	"strings"
+)
+
+// APIError provides error information returned by the OpenAI API.
+// InnerError struct is only valid for Azure OpenAI Service.
+type APIError struct {
+	Code           any         `json:"code,omitempty"`
+	Message        string      `json:"message"`
+	Param          *string     `json:"param,omitempty"`
+	Type           string      `json:"type"`
+	HTTPStatus     string      `json:"-"`
+	HTTPStatusCode int         `json:"-"`
+	InnerError     *InnerError `json:"innererror,omitempty"`
+}
+
+// InnerError Azure Content filtering. Only valid for Azure OpenAI Service.
+type InnerError struct {
+	Code                 string               `json:"code,omitempty"`
+	ContentFilterResults ContentFilterResults `json:"content_filter_result,omitempty"`
+}
+
+// RequestError provides information about generic request errors.
+type RequestError struct {
+	HTTPStatus     string
+	HTTPStatusCode int
+	Err            error
+	Body           []byte
+}
+
+type ErrorResponse struct {
+	Error *APIError `json:"error,omitempty"`
+}
+
+func (e *APIError) Error() string {
+	if e.HTTPStatusCode > 0 {
+		return fmt.Sprintf("error, status code: %d, status: %s, message: %s", e.HTTPStatusCode, e.HTTPStatus, e.Message)
+	}
+
+	return e.Message
+}
+
+func (e *APIError) UnmarshalJSON(data []byte) (err error) {
+	var rawMap map[string]json.RawMessage
+	err = json.Unmarshal(data, &rawMap)
+	if err != nil {
+		return
+	}
+
+	err = json.Unmarshal(rawMap["message"], &e.Message)
+	if err != nil {
+		// If the parameter field of a function call is invalid as a JSON schema
+		// refs: https://github.com/sashabaranov/go-openai/issues/381
+		var messages []string
+		err = json.Unmarshal(rawMap["message"], &messages)
+		if err != nil {
+			return
+		}
+		e.Message = strings.Join(messages, ", ")
+	}
+
+	// optional fields for azure openai
+	// refs: https://github.com/sashabaranov/go-openai/issues/343
+	if _, ok := rawMap["type"]; ok {
+		err = json.Unmarshal(rawMap["type"], &e.Type)
+		if err != nil {
+			return
+		}
+	}
+
+	if _, ok := rawMap["innererror"]; ok {
+		err = json.Unmarshal(rawMap["innererror"], &e.InnerError)
+		if err != nil {
+			return
+		}
+	}
+
+	// optional fields
+	if _, ok := rawMap["param"]; ok {
+		err = json.Unmarshal(rawMap["param"], &e.Param)
+		if err != nil {
+			return
+		}
+	}
+
+	if _, ok := rawMap["code"]; !ok {
+		return nil
+	}
+
+	// if the api returned a number, we need to force an integer
+	// since the json package defaults to float64
+	var intCode int
+	err = json.Unmarshal(rawMap["code"], &intCode)
+	if err == nil {
+		e.Code = intCode
+		return nil
+	}
+
+	return json.Unmarshal(rawMap["code"], &e.Code)
+}
+
+func (e *RequestError) Error() string {
+	return fmt.Sprintf(
+		"error, status code: %d, status: %s, message: %s, body: %s",
+		e.HTTPStatusCode, e.HTTPStatus, e.Err, e.Body,
+	)
+}
+
+func (e *RequestError) Unwrap() error {
+	return e.Err
+}

vendor/github.com/sashabaranov/go-openai/files.go

@@ -0,0 +1,171 @@
+package openai
+
+import (
+	"bytes"
+	"context"
+	"fmt"
+	"net/http"
+	"os"
+)
+
+type FileRequest struct {
+	FileName string `json:"file"`
+	FilePath string `json:"-"`
+	Purpose  string `json:"purpose"`
+}
+
+// PurposeType represents the purpose of the file when uploading.
+type PurposeType string
+
+const (
+	PurposeFineTune         PurposeType = "fine-tune"
+	PurposeFineTuneResults  PurposeType = "fine-tune-results"
+	PurposeAssistants       PurposeType = "assistants"
+	PurposeAssistantsOutput PurposeType = "assistants_output"
+	PurposeBatch            PurposeType = "batch"
+)
+
+// FileBytesRequest represents a file upload request.
+type FileBytesRequest struct {
+	// the name of the uploaded file in OpenAI
+	Name string
+	// the bytes of the file
+	Bytes []byte
+	// the purpose of the file
+	Purpose PurposeType
+}
+
+// File struct represents an OpenAPI file.
+type File struct {
+	Bytes         int    `json:"bytes"`
+	CreatedAt     int64  `json:"created_at"`
+	ID            string `json:"id"`
+	FileName      string `json:"filename"`
+	Object        string `json:"object"`
+	Status        string `json:"status"`
+	Purpose       string `json:"purpose"`
+	StatusDetails string `json:"status_details"`
+
+	httpHeader
+}
+
+// FilesList is a list of files that belong to the user or organization.
+type FilesList struct {
+	Files []File `json:"data"`
+
+	httpHeader
+}
+
+// CreateFileBytes uploads bytes directly to OpenAI without requiring a local file.
+func (c *Client) CreateFileBytes(ctx context.Context, request FileBytesRequest) (file File, err error) {
+	var b bytes.Buffer
+	reader := bytes.NewReader(request.Bytes)
+	builder := c.createFormBuilder(&b)
+
+	err = builder.WriteField("purpose", string(request.Purpose))
+	if err != nil {
+		return
+	}
+
+	err = builder.CreateFormFileReader("file", reader, request.Name)
+	if err != nil {
+		return
+	}
+
+	err = builder.Close()
+	if err != nil {
+		return
+	}
+
+	req, err := c.newRequest(ctx, http.MethodPost, c.fullURL("/files"),
+		withBody(&b), withContentType(builder.FormDataContentType()))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &file)
+	return
+}
+
+// CreateFile uploads a jsonl file to GPT3
+// FilePath must be a local file path.
+func (c *Client) CreateFile(ctx context.Context, request FileRequest) (file File, err error) {
+	var b bytes.Buffer
+	builder := c.createFormBuilder(&b)
+
+	err = builder.WriteField("purpose", request.Purpose)
+	if err != nil {
+		return
+	}
+
+	fileData, err := os.Open(request.FilePath)
+	if err != nil {
+		return
+	}
+	defer fileData.Close()
+
+	err = builder.CreateFormFile("file", fileData)
+	if err != nil {
+		return
+	}
+
+	err = builder.Close()
+	if err != nil {
+		return
+	}
+
+	req, err := c.newRequest(ctx, http.MethodPost, c.fullURL("/files"),
+		withBody(&b), withContentType(builder.FormDataContentType()))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &file)
+	return
+}
+
+// DeleteFile deletes an existing file.
+func (c *Client) DeleteFile(ctx context.Context, fileID string) (err error) {
+	req, err := c.newRequest(ctx, http.MethodDelete, c.fullURL("/files/"+fileID))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, nil)
+	return
+}
+
+// ListFiles Lists the currently available files,
+// and provides basic information about each file such as the file name and purpose.
+func (c *Client) ListFiles(ctx context.Context) (files FilesList, err error) {
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL("/files"))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &files)
+	return
+}
+
+// GetFile Retrieves a file instance, providing basic information about the file
+// such as the file name and purpose.
+func (c *Client) GetFile(ctx context.Context, fileID string) (file File, err error) {
+	urlSuffix := fmt.Sprintf("/files/%s", fileID)
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &file)
+	return
+}
+
+func (c *Client) GetFileContent(ctx context.Context, fileID string) (content RawResponse, err error) {
+	urlSuffix := fmt.Sprintf("/files/%s/content", fileID)
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix))
+	if err != nil {
+		return
+	}
+
+	return c.sendRequestRaw(req)
+}

vendor/github.com/sashabaranov/go-openai/fine_tunes.go

@@ -0,0 +1,178 @@
+package openai
+
+import (
+	"context"
+	"fmt"
+	"net/http"
+)
+
+// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API.
+// This API will be officially deprecated on January 4th, 2024.
+// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go.
+type FineTuneRequest struct {
+	TrainingFile                 string    `json:"training_file"`
+	ValidationFile               string    `json:"validation_file,omitempty"`
+	Model                        string    `json:"model,omitempty"`
+	Epochs                       int       `json:"n_epochs,omitempty"`
+	BatchSize                    int       `json:"batch_size,omitempty"`
+	LearningRateMultiplier       float32   `json:"learning_rate_multiplier,omitempty"`
+	PromptLossRate               float32   `json:"prompt_loss_rate,omitempty"`
+	ComputeClassificationMetrics bool      `json:"compute_classification_metrics,omitempty"`
+	ClassificationClasses        int       `json:"classification_n_classes,omitempty"`
+	ClassificationPositiveClass  string    `json:"classification_positive_class,omitempty"`
+	ClassificationBetas          []float32 `json:"classification_betas,omitempty"`
+	Suffix                       string    `json:"suffix,omitempty"`
+}
+
+// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API.
+// This API will be officially deprecated on January 4th, 2024.
+// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go.
+type FineTune struct {
+	ID                string              `json:"id"`
+	Object            string              `json:"object"`
+	Model             string              `json:"model"`
+	CreatedAt         int64               `json:"created_at"`
+	FineTuneEventList []FineTuneEvent     `json:"events,omitempty"`
+	FineTunedModel    string              `json:"fine_tuned_model"`
+	HyperParams       FineTuneHyperParams `json:"hyperparams"`
+	OrganizationID    string              `json:"organization_id"`
+	ResultFiles       []File              `json:"result_files"`
+	Status            string              `json:"status"`
+	ValidationFiles   []File              `json:"validation_files"`
+	TrainingFiles     []File              `json:"training_files"`
+	UpdatedAt         int64               `json:"updated_at"`
+
+	httpHeader
+}
+
+// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API.
+// This API will be officially deprecated on January 4th, 2024.
+// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go.
+type FineTuneEvent struct {
+	Object    string `json:"object"`
+	CreatedAt int64  `json:"created_at"`
+	Level     string `json:"level"`
+	Message   string `json:"message"`
+}
+
+// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API.
+// This API will be officially deprecated on January 4th, 2024.
+// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go.
+type FineTuneHyperParams struct {
+	BatchSize              int     `json:"batch_size"`
+	LearningRateMultiplier float64 `json:"learning_rate_multiplier"`
+	Epochs                 int     `json:"n_epochs"`
+	PromptLossWeight       float64 `json:"prompt_loss_weight"`
+}
+
+// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API.
+// This API will be officially deprecated on January 4th, 2024.
+// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go.
+type FineTuneList struct {
+	Object string     `json:"object"`
+	Data   []FineTune `json:"data"`
+
+	httpHeader
+}
+
+// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API.
+// This API will be officially deprecated on January 4th, 2024.
+// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go.
+type FineTuneEventList struct {
+	Object string          `json:"object"`
+	Data   []FineTuneEvent `json:"data"`
+
+	httpHeader
+}
+
+// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API.
+// This API will be officially deprecated on January 4th, 2024.
+// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go.
+type FineTuneDeleteResponse struct {
+	ID      string `json:"id"`
+	Object  string `json:"object"`
+	Deleted bool   `json:"deleted"`
+
+	httpHeader
+}
+
+// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API.
+// This API will be officially deprecated on January 4th, 2024.
+// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go.
+func (c *Client) CreateFineTune(ctx context.Context, request FineTuneRequest) (response FineTune, err error) {
+	urlSuffix := "/fine-tunes"
+	req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), withBody(request))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// CancelFineTune cancel a fine-tune job.
+// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API.
+// This API will be officially deprecated on January 4th, 2024.
+// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go.
+func (c *Client) CancelFineTune(ctx context.Context, fineTuneID string) (response FineTune, err error) {
+	req, err := c.newRequest(ctx, http.MethodPost, c.fullURL("/fine-tunes/"+fineTuneID+"/cancel")) //nolint:lll //this method is deprecated
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API.
+// This API will be officially deprecated on January 4th, 2024.
+// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go.
+func (c *Client) ListFineTunes(ctx context.Context) (response FineTuneList, err error) {
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL("/fine-tunes"))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API.
+// This API will be officially deprecated on January 4th, 2024.
+// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go.
+func (c *Client) GetFineTune(ctx context.Context, fineTuneID string) (response FineTune, err error) {
+	urlSuffix := fmt.Sprintf("/fine-tunes/%s", fineTuneID)
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API.
+// This API will be officially deprecated on January 4th, 2024.
+// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go.
+func (c *Client) DeleteFineTune(ctx context.Context, fineTuneID string) (response FineTuneDeleteResponse, err error) {
+	req, err := c.newRequest(ctx, http.MethodDelete, c.fullURL("/fine-tunes/"+fineTuneID))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// Deprecated: On August 22nd, 2023, OpenAI announced the deprecation of the /v1/fine-tunes API.
+// This API will be officially deprecated on January 4th, 2024.
+// OpenAI recommends to migrate to the new fine tuning API implemented in fine_tuning_job.go.
+func (c *Client) ListFineTuneEvents(ctx context.Context, fineTuneID string) (response FineTuneEventList, err error) {
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL("/fine-tunes/"+fineTuneID+"/events"))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}

vendor/github.com/sashabaranov/go-openai/fine_tuning_job.go

@@ -0,0 +1,159 @@
+package openai
+
+import (
+	"context"
+	"fmt"
+	"net/http"
+	"net/url"
+)
+
+type FineTuningJob struct {
+	ID              string          `json:"id"`
+	Object          string          `json:"object"`
+	CreatedAt       int64           `json:"created_at"`
+	FinishedAt      int64           `json:"finished_at"`
+	Model           string          `json:"model"`
+	FineTunedModel  string          `json:"fine_tuned_model,omitempty"`
+	OrganizationID  string          `json:"organization_id"`
+	Status          string          `json:"status"`
+	Hyperparameters Hyperparameters `json:"hyperparameters"`
+	TrainingFile    string          `json:"training_file"`
+	ValidationFile  string          `json:"validation_file,omitempty"`
+	ResultFiles     []string        `json:"result_files"`
+	TrainedTokens   int             `json:"trained_tokens"`
+
+	httpHeader
+}
+
+type Hyperparameters struct {
+	Epochs                 any `json:"n_epochs,omitempty"`
+	LearningRateMultiplier any `json:"learning_rate_multiplier,omitempty"`
+	BatchSize              any `json:"batch_size,omitempty"`
+}
+
+type FineTuningJobRequest struct {
+	TrainingFile    string           `json:"training_file"`
+	ValidationFile  string           `json:"validation_file,omitempty"`
+	Model           string           `json:"model,omitempty"`
+	Hyperparameters *Hyperparameters `json:"hyperparameters,omitempty"`
+	Suffix          string           `json:"suffix,omitempty"`
+}
+
+type FineTuningJobEventList struct {
+	Object  string          `json:"object"`
+	Data    []FineTuneEvent `json:"data"`
+	HasMore bool            `json:"has_more"`
+
+	httpHeader
+}
+
+type FineTuningJobEvent struct {
+	Object    string `json:"object"`
+	ID        string `json:"id"`
+	CreatedAt int    `json:"created_at"`
+	Level     string `json:"level"`
+	Message   string `json:"message"`
+	Data      any    `json:"data"`
+	Type      string `json:"type"`
+}
+
+// CreateFineTuningJob create a fine tuning job.
+func (c *Client) CreateFineTuningJob(
+	ctx context.Context,
+	request FineTuningJobRequest,
+) (response FineTuningJob, err error) {
+	urlSuffix := "/fine_tuning/jobs"
+	req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), withBody(request))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// CancelFineTuningJob cancel a fine tuning job.
+func (c *Client) CancelFineTuningJob(ctx context.Context, fineTuningJobID string) (response FineTuningJob, err error) {
+	req, err := c.newRequest(ctx, http.MethodPost, c.fullURL("/fine_tuning/jobs/"+fineTuningJobID+"/cancel"))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// RetrieveFineTuningJob retrieve a fine tuning job.
+func (c *Client) RetrieveFineTuningJob(
+	ctx context.Context,
+	fineTuningJobID string,
+) (response FineTuningJob, err error) {
+	urlSuffix := fmt.Sprintf("/fine_tuning/jobs/%s", fineTuningJobID)
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+type listFineTuningJobEventsParameters struct {
+	after *string
+	limit *int
+}
+
+type ListFineTuningJobEventsParameter func(*listFineTuningJobEventsParameters)
+
+func ListFineTuningJobEventsWithAfter(after string) ListFineTuningJobEventsParameter {
+	return func(args *listFineTuningJobEventsParameters) {
+		args.after = &after
+	}
+}
+
+func ListFineTuningJobEventsWithLimit(limit int) ListFineTuningJobEventsParameter {
+	return func(args *listFineTuningJobEventsParameters) {
+		args.limit = &limit
+	}
+}
+
+// ListFineTuningJobs list fine tuning jobs events.
+func (c *Client) ListFineTuningJobEvents(
+	ctx context.Context,
+	fineTuningJobID string,
+	setters ...ListFineTuningJobEventsParameter,
+) (response FineTuningJobEventList, err error) {
+	parameters := &listFineTuningJobEventsParameters{
+		after: nil,
+		limit: nil,
+	}
+
+	for _, setter := range setters {
+		setter(parameters)
+	}
+
+	urlValues := url.Values{}
+	if parameters.after != nil {
+		urlValues.Add("after", *parameters.after)
+	}
+	if parameters.limit != nil {
+		urlValues.Add("limit", fmt.Sprintf("%d", *parameters.limit))
+	}
+
+	encodedValues := ""
+	if len(urlValues) > 0 {
+		encodedValues = "?" + urlValues.Encode()
+	}
+
+	req, err := c.newRequest(
+		ctx,
+		http.MethodGet,
+		c.fullURL("/fine_tuning/jobs/"+fineTuningJobID+"/events"+encodedValues),
+	)
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}

vendor/github.com/sashabaranov/go-openai/image.go

@@ -0,0 +1,289 @@
+package openai
+
+import (
+	"bytes"
+	"context"
+	"io"
+	"net/http"
+	"strconv"
+)
+
+// Image sizes defined by the OpenAI API.
+const (
+	CreateImageSize256x256   = "256x256"
+	CreateImageSize512x512   = "512x512"
+	CreateImageSize1024x1024 = "1024x1024"
+
+	// dall-e-3 supported only.
+	CreateImageSize1792x1024 = "1792x1024"
+	CreateImageSize1024x1792 = "1024x1792"
+
+	// gpt-image-1 supported only.
+	CreateImageSize1536x1024 = "1536x1024" // Landscape
+	CreateImageSize1024x1536 = "1024x1536" // Portrait
+)
+
+const (
+	// dall-e-2 and dall-e-3 only.
+	CreateImageResponseFormatB64JSON = "b64_json"
+	CreateImageResponseFormatURL     = "url"
+)
+
+const (
+	CreateImageModelDallE2    = "dall-e-2"
+	CreateImageModelDallE3    = "dall-e-3"
+	CreateImageModelGptImage1 = "gpt-image-1"
+)
+
+const (
+	CreateImageQualityHD       = "hd"
+	CreateImageQualityStandard = "standard"
+
+	// gpt-image-1 only.
+	CreateImageQualityHigh   = "high"
+	CreateImageQualityMedium = "medium"
+	CreateImageQualityLow    = "low"
+)
+
+const (
+	// dall-e-3 only.
+	CreateImageStyleVivid   = "vivid"
+	CreateImageStyleNatural = "natural"
+)
+
+const (
+	// gpt-image-1 only.
+	CreateImageBackgroundTransparent = "transparent"
+	CreateImageBackgroundOpaque      = "opaque"
+)
+
+const (
+	// gpt-image-1 only.
+	CreateImageModerationLow = "low"
+)
+
+const (
+	// gpt-image-1 only.
+	CreateImageOutputFormatPNG  = "png"
+	CreateImageOutputFormatJPEG = "jpeg"
+	CreateImageOutputFormatWEBP = "webp"
+)
+
+// ImageRequest represents the request structure for the image API.
+type ImageRequest struct {
+	Prompt            string `json:"prompt,omitempty"`
+	Model             string `json:"model,omitempty"`
+	N                 int    `json:"n,omitempty"`
+	Quality           string `json:"quality,omitempty"`
+	Size              string `json:"size,omitempty"`
+	Style             string `json:"style,omitempty"`
+	ResponseFormat    string `json:"response_format,omitempty"`
+	User              string `json:"user,omitempty"`
+	Background        string `json:"background,omitempty"`
+	Moderation        string `json:"moderation,omitempty"`
+	OutputCompression int    `json:"output_compression,omitempty"`
+	OutputFormat      string `json:"output_format,omitempty"`
+}
+
+// ImageResponse represents a response structure for image API.
+type ImageResponse struct {
+	Created int64                    `json:"created,omitempty"`
+	Data    []ImageResponseDataInner `json:"data,omitempty"`
+	Usage   ImageResponseUsage       `json:"usage,omitempty"`
+
+	httpHeader
+}
+
+// ImageResponseInputTokensDetails represents the token breakdown for input tokens.
+type ImageResponseInputTokensDetails struct {
+	TextTokens  int `json:"text_tokens,omitempty"`
+	ImageTokens int `json:"image_tokens,omitempty"`
+}
+
+// ImageResponseUsage represents the token usage information for image API.
+type ImageResponseUsage struct {
+	TotalTokens        int                             `json:"total_tokens,omitempty"`
+	InputTokens        int                             `json:"input_tokens,omitempty"`
+	OutputTokens       int                             `json:"output_tokens,omitempty"`
+	InputTokensDetails ImageResponseInputTokensDetails `json:"input_tokens_details,omitempty"`
+}
+
+// ImageResponseDataInner represents a response data structure for image API.
+type ImageResponseDataInner struct {
+	URL           string `json:"url,omitempty"`
+	B64JSON       string `json:"b64_json,omitempty"`
+	RevisedPrompt string `json:"revised_prompt,omitempty"`
+}
+
+// CreateImage - API call to create an image. This is the main endpoint of the DALL-E API.
+func (c *Client) CreateImage(ctx context.Context, request ImageRequest) (response ImageResponse, err error) {
+	urlSuffix := "/images/generations"
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL(urlSuffix, withModel(request.Model)),
+		withBody(request),
+	)
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// WrapReader wraps an io.Reader with filename and Content-type.
+func WrapReader(rdr io.Reader, filename string, contentType string) io.Reader {
+	return file{rdr, filename, contentType}
+}
+
+type file struct {
+	io.Reader
+	name        string
+	contentType string
+}
+
+func (f file) Name() string {
+	if f.name != "" {
+		return f.name
+	} else if named, ok := f.Reader.(interface{ Name() string }); ok {
+		return named.Name()
+	}
+	return ""
+}
+
+func (f file) ContentType() string {
+	return f.contentType
+}
+
+// ImageEditRequest represents the request structure for the image API.
+// Use WrapReader to wrap an io.Reader with filename and Content-type.
+type ImageEditRequest struct {
+	Image          io.Reader `json:"image,omitempty"`
+	Mask           io.Reader `json:"mask,omitempty"`
+	Prompt         string    `json:"prompt,omitempty"`
+	Model          string    `json:"model,omitempty"`
+	N              int       `json:"n,omitempty"`
+	Size           string    `json:"size,omitempty"`
+	ResponseFormat string    `json:"response_format,omitempty"`
+	Quality        string    `json:"quality,omitempty"`
+	User           string    `json:"user,omitempty"`
+}
+
+// CreateEditImage - API call to create an image. This is the main endpoint of the DALL-E API.
+func (c *Client) CreateEditImage(ctx context.Context, request ImageEditRequest) (response ImageResponse, err error) {
+	body := &bytes.Buffer{}
+	builder := c.createFormBuilder(body)
+
+	// image, filename verification can be postponed
+	err = builder.CreateFormFileReader("image", request.Image, "")
+	if err != nil {
+		return
+	}
+
+	// mask, it is optional
+	if request.Mask != nil {
+		// filename verification can be postponed
+		err = builder.CreateFormFileReader("mask", request.Mask, "")
+		if err != nil {
+			return
+		}
+	}
+
+	err = builder.WriteField("prompt", request.Prompt)
+	if err != nil {
+		return
+	}
+
+	err = builder.WriteField("n", strconv.Itoa(request.N))
+	if err != nil {
+		return
+	}
+
+	err = builder.WriteField("size", request.Size)
+	if err != nil {
+		return
+	}
+
+	err = builder.WriteField("response_format", request.ResponseFormat)
+	if err != nil {
+		return
+	}
+
+	err = builder.Close()
+	if err != nil {
+		return
+	}
+
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL("/images/edits", withModel(request.Model)),
+		withBody(body),
+		withContentType(builder.FormDataContentType()),
+	)
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// ImageVariRequest represents the request structure for the image API.
+// Use WrapReader to wrap an io.Reader with filename and Content-type.
+type ImageVariRequest struct {
+	Image          io.Reader `json:"image,omitempty"`
+	Model          string    `json:"model,omitempty"`
+	N              int       `json:"n,omitempty"`
+	Size           string    `json:"size,omitempty"`
+	ResponseFormat string    `json:"response_format,omitempty"`
+	User           string    `json:"user,omitempty"`
+}
+
+// CreateVariImage - API call to create an image variation. This is the main endpoint of the DALL-E API.
+// Use abbreviations(vari for variation) because ci-lint has a single-line length limit ...
+func (c *Client) CreateVariImage(ctx context.Context, request ImageVariRequest) (response ImageResponse, err error) {
+	body := &bytes.Buffer{}
+	builder := c.createFormBuilder(body)
+
+	// image, filename verification can be postponed
+	err = builder.CreateFormFileReader("image", request.Image, "")
+	if err != nil {
+		return
+	}
+
+	err = builder.WriteField("n", strconv.Itoa(request.N))
+	if err != nil {
+		return
+	}
+
+	err = builder.WriteField("size", request.Size)
+	if err != nil {
+		return
+	}
+
+	err = builder.WriteField("response_format", request.ResponseFormat)
+	if err != nil {
+		return
+	}
+
+	err = builder.Close()
+	if err != nil {
+		return
+	}
+
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL("/images/variations", withModel(request.Model)),
+		withBody(body),
+		withContentType(builder.FormDataContentType()),
+	)
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}

vendor/github.com/sashabaranov/go-openai/internal/error_accumulator.go

@@ -0,0 +1,44 @@
+package openai
+
+import (
+	"bytes"
+	"fmt"
+	"io"
+)
+
+type ErrorAccumulator interface {
+	Write(p []byte) error
+	Bytes() []byte
+}
+
+type errorBuffer interface {
+	io.Writer
+	Len() int
+	Bytes() []byte
+}
+
+type DefaultErrorAccumulator struct {
+	Buffer errorBuffer
+}
+
+func NewErrorAccumulator() ErrorAccumulator {
+	return &DefaultErrorAccumulator{
+		Buffer: &bytes.Buffer{},
+	}
+}
+
+func (e *DefaultErrorAccumulator) Write(p []byte) error {
+	_, err := e.Buffer.Write(p)
+	if err != nil {
+		return fmt.Errorf("error accumulator write error, %w", err)
+	}
+	return nil
+}
+
+func (e *DefaultErrorAccumulator) Bytes() (errBytes []byte) {
+	if e.Buffer.Len() == 0 {
+		return
+	}
+	errBytes = e.Buffer.Bytes()
+	return
+}

vendor/github.com/sashabaranov/go-openai/internal/form_builder.go

@@ -0,0 +1,112 @@
+package openai
+
+import (
+	"fmt"
+	"io"
+	"mime/multipart"
+	"net/textproto"
+	"os"
+	"path/filepath"
+	"strings"
+)
+
+type FormBuilder interface {
+	CreateFormFile(fieldname string, file *os.File) error
+	CreateFormFileReader(fieldname string, r io.Reader, filename string) error
+	WriteField(fieldname, value string) error
+	Close() error
+	FormDataContentType() string
+}
+
+type DefaultFormBuilder struct {
+	writer *multipart.Writer
+}
+
+func NewFormBuilder(body io.Writer) *DefaultFormBuilder {
+	return &DefaultFormBuilder{
+		writer: multipart.NewWriter(body),
+	}
+}
+
+func (fb *DefaultFormBuilder) CreateFormFile(fieldname string, file *os.File) error {
+	return fb.createFormFile(fieldname, file, file.Name())
+}
+
+var quoteEscaper = strings.NewReplacer("\\", "\\\\", `"`, "\\\"")
+
+func escapeQuotes(s string) string {
+	return quoteEscaper.Replace(s)
+}
+
+// CreateFormFileReader creates a form field with a file reader.
+// The filename in Content-Disposition is required.
+func (fb *DefaultFormBuilder) CreateFormFileReader(fieldname string, r io.Reader, filename string) error {
+	if filename == "" {
+		if f, ok := r.(interface{ Name() string }); ok {
+			filename = f.Name()
+		}
+	}
+	var contentType string
+	if f, ok := r.(interface{ ContentType() string }); ok {
+		contentType = f.ContentType()
+	}
+
+	h := make(textproto.MIMEHeader)
+	h.Set(
+		"Content-Disposition",
+		fmt.Sprintf(
+			`form-data; name="%s"; filename="%s"`,
+			escapeQuotes(fieldname),
+			escapeQuotes(filepath.Base(filename)),
+		),
+	)
+	// content type is optional, but it can be set
+	if contentType != "" {
+		h.Set("Content-Type", contentType)
+	}
+
+	fieldWriter, err := fb.writer.CreatePart(h)
+	if err != nil {
+		return err
+	}
+
+	_, err = io.Copy(fieldWriter, r)
+	if err != nil {
+		return err
+	}
+
+	return nil
+}
+
+func (fb *DefaultFormBuilder) createFormFile(fieldname string, r io.Reader, filename string) error {
+	if filename == "" {
+		return fmt.Errorf("filename cannot be empty")
+	}
+
+	fieldWriter, err := fb.writer.CreateFormFile(fieldname, filename)
+	if err != nil {
+		return err
+	}
+
+	_, err = io.Copy(fieldWriter, r)
+	if err != nil {
+		return err
+	}
+
+	return nil
+}
+
+func (fb *DefaultFormBuilder) WriteField(fieldname, value string) error {
+	if fieldname == "" {
+		return fmt.Errorf("fieldname cannot be empty")
+	}
+	return fb.writer.WriteField(fieldname, value)
+}
+
+func (fb *DefaultFormBuilder) Close() error {
+	return fb.writer.Close()
+}
+
+func (fb *DefaultFormBuilder) FormDataContentType() string {
+	return fb.writer.FormDataContentType()
+}

vendor/github.com/sashabaranov/go-openai/internal/marshaller.go

@@ -0,0 +1,15 @@
+package openai
+
+import (
+	"encoding/json"
+)
+
+type Marshaller interface {
+	Marshal(value any) ([]byte, error)
+}
+
+type JSONMarshaller struct{}
+
+func (jm *JSONMarshaller) Marshal(value any) ([]byte, error) {
+	return json.Marshal(value)
+}

vendor/github.com/sashabaranov/go-openai/internal/request_builder.go

@@ -0,0 +1,52 @@
+package openai
+
+import (
+	"bytes"
+	"context"
+	"io"
+	"net/http"
+)
+
+type RequestBuilder interface {
+	Build(ctx context.Context, method, url string, body any, header http.Header) (*http.Request, error)
+}
+
+type HTTPRequestBuilder struct {
+	marshaller Marshaller
+}
+
+func NewRequestBuilder() *HTTPRequestBuilder {
+	return &HTTPRequestBuilder{
+		marshaller: &JSONMarshaller{},
+	}
+}
+
+func (b *HTTPRequestBuilder) Build(
+	ctx context.Context,
+	method string,
+	url string,
+	body any,
+	header http.Header,
+) (req *http.Request, err error) {
+	var bodyReader io.Reader
+	if body != nil {
+		if v, ok := body.(io.Reader); ok {
+			bodyReader = v
+		} else {
+			var reqBytes []byte
+			reqBytes, err = b.marshaller.Marshal(body)
+			if err != nil {
+				return
+			}
+			bodyReader = bytes.NewBuffer(reqBytes)
+		}
+	}
+	req, err = http.NewRequestWithContext(ctx, method, url, bodyReader)
+	if err != nil {
+		return
+	}
+	if header != nil {
+		req.Header = header
+	}
+	return
+}

vendor/github.com/sashabaranov/go-openai/internal/unmarshaler.go

@@ -0,0 +1,15 @@
+package openai
+
+import (
+	"encoding/json"
+)
+
+type Unmarshaler interface {
+	Unmarshal(data []byte, v any) error
+}
+
+type JSONUnmarshaler struct{}
+
+func (jm *JSONUnmarshaler) Unmarshal(data []byte, v any) error {
+	return json.Unmarshal(data, v)
+}

vendor/github.com/sashabaranov/go-openai/jsonschema/json.go

@@ -0,0 +1,235 @@
+// Package jsonschema provides very simple functionality for representing a JSON schema as a
+// (nested) struct. This struct can be used with the chat completion "function call" feature.
+// For more complicated schemas, it is recommended to use a dedicated JSON schema library
+// and/or pass in the schema in []byte format.
+package jsonschema
+
+import (
+	"encoding/json"
+	"fmt"
+	"reflect"
+	"strconv"
+	"strings"
+)
+
+type DataType string
+
+const (
+	Object  DataType = "object"
+	Number  DataType = "number"
+	Integer DataType = "integer"
+	String  DataType = "string"
+	Array   DataType = "array"
+	Null    DataType = "null"
+	Boolean DataType = "boolean"
+)
+
+// Definition is a struct for describing a JSON Schema.
+// It is fairly limited, and you may have better luck using a third-party library.
+type Definition struct {
+	// Type specifies the data type of the schema.
+	Type DataType `json:"type,omitempty"`
+	// Description is the description of the schema.
+	Description string `json:"description,omitempty"`
+	// Enum is used to restrict a value to a fixed set of values. It must be an array with at least
+	// one element, where each element is unique. You will probably only use this with strings.
+	Enum []string `json:"enum,omitempty"`
+	// Properties describes the properties of an object, if the schema type is Object.
+	Properties map[string]Definition `json:"properties,omitempty"`
+	// Required specifies which properties are required, if the schema type is Object.
+	Required []string `json:"required,omitempty"`
+	// Items specifies which data type an array contains, if the schema type is Array.
+	Items *Definition `json:"items,omitempty"`
+	// AdditionalProperties is used to control the handling of properties in an object
+	// that are not explicitly defined in the properties section of the schema. example:
+	// additionalProperties: true
+	// additionalProperties: false
+	// additionalProperties: jsonschema.Definition{Type: jsonschema.String}
+	AdditionalProperties any `json:"additionalProperties,omitempty"`
+	// Whether the schema is nullable or not.
+	Nullable bool `json:"nullable,omitempty"`
+
+	// Ref Reference to a definition in $defs or external schema.
+	Ref string `json:"$ref,omitempty"`
+	// Defs A map of reusable schema definitions.
+	Defs map[string]Definition `json:"$defs,omitempty"`
+}
+
+func (d *Definition) MarshalJSON() ([]byte, error) {
+	if d.Properties == nil {
+		d.Properties = make(map[string]Definition)
+	}
+	type Alias Definition
+	return json.Marshal(struct {
+		Alias
+	}{
+		Alias: (Alias)(*d),
+	})
+}
+
+func (d *Definition) Unmarshal(content string, v any) error {
+	return VerifySchemaAndUnmarshal(*d, []byte(content), v)
+}
+
+func GenerateSchemaForType(v any) (*Definition, error) {
+	var defs = make(map[string]Definition)
+	def, err := reflectSchema(reflect.TypeOf(v), defs)
+	if err != nil {
+		return nil, err
+	}
+	// If the schema has a root $ref, resolve it by:
+	// 1. Extracting the key from the $ref.
+	// 2. Detaching the referenced definition from $defs.
+	// 3. Checking for self-references in the detached definition.
+	//    - If a self-reference is found, restore the original $defs structure.
+	// 4. Flattening the referenced definition into the root schema.
+	// 5. Clearing the $ref field in the root schema.
+	if def.Ref != "" {
+		origRef := def.Ref
+		key := strings.TrimPrefix(origRef, "#/$defs/")
+		if root, ok := defs[key]; ok {
+			delete(defs, key)
+			root.Defs = defs
+			if containsRef(root, origRef) {
+				root.Defs = nil
+				defs[key] = root
+			}
+			*def = root
+		}
+		def.Ref = ""
+	}
+	def.Defs = defs
+	return def, nil
+}
+
+func reflectSchema(t reflect.Type, defs map[string]Definition) (*Definition, error) {
+	var d Definition
+	switch t.Kind() {
+	case reflect.String:
+		d.Type = String
+	case reflect.Int, reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64,
+		reflect.Uint, reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64:
+		d.Type = Integer
+	case reflect.Float32, reflect.Float64:
+		d.Type = Number
+	case reflect.Bool:
+		d.Type = Boolean
+	case reflect.Slice, reflect.Array:
+		d.Type = Array
+		items, err := reflectSchema(t.Elem(), defs)
+		if err != nil {
+			return nil, err
+		}
+		d.Items = items
+	case reflect.Struct:
+		if t.Name() != "" {
+			if _, ok := defs[t.Name()]; !ok {
+				defs[t.Name()] = Definition{}
+				object, err := reflectSchemaObject(t, defs)
+				if err != nil {
+					return nil, err
+				}
+				defs[t.Name()] = *object
+			}
+			return &Definition{Ref: "#/$defs/" + t.Name()}, nil
+		}
+		d.Type = Object
+		d.AdditionalProperties = false
+		object, err := reflectSchemaObject(t, defs)
+		if err != nil {
+			return nil, err
+		}
+		d = *object
+	case reflect.Ptr:
+		definition, err := reflectSchema(t.Elem(), defs)
+		if err != nil {
+			return nil, err
+		}
+		d = *definition
+	case reflect.Invalid, reflect.Uintptr, reflect.Complex64, reflect.Complex128,
+		reflect.Chan, reflect.Func, reflect.Interface, reflect.Map,
+		reflect.UnsafePointer:
+		return nil, fmt.Errorf("unsupported type: %s", t.Kind().String())
+	default:
+	}
+	return &d, nil
+}
+
+func reflectSchemaObject(t reflect.Type, defs map[string]Definition) (*Definition, error) {
+	var d = Definition{
+		Type:                 Object,
+		AdditionalProperties: false,
+	}
+	properties := make(map[string]Definition)
+	var requiredFields []string
+	for i := 0; i < t.NumField(); i++ {
+		field := t.Field(i)
+		if !field.IsExported() {
+			continue
+		}
+		jsonTag := field.Tag.Get("json")
+		var required = true
+		switch {
+		case jsonTag == "-":
+			continue
+		case jsonTag == "":
+			jsonTag = field.Name
+		case strings.HasSuffix(jsonTag, ",omitempty"):
+			jsonTag = strings.TrimSuffix(jsonTag, ",omitempty")
+			required = false
+		}
+
+		item, err := reflectSchema(field.Type, defs)
+		if err != nil {
+			return nil, err
+		}
+		description := field.Tag.Get("description")
+		if description != "" {
+			item.Description = description
+		}
+		enum := field.Tag.Get("enum")
+		if enum != "" {
+			item.Enum = strings.Split(enum, ",")
+		}
+
+		if n := field.Tag.Get("nullable"); n != "" {
+			nullable, _ := strconv.ParseBool(n)
+			item.Nullable = nullable
+		}
+
+		properties[jsonTag] = *item
+
+		if s := field.Tag.Get("required"); s != "" {
+			required, _ = strconv.ParseBool(s)
+		}
+		if required {
+			requiredFields = append(requiredFields, jsonTag)
+		}
+	}
+	d.Required = requiredFields
+	d.Properties = properties
+	return &d, nil
+}
+
+func containsRef(def Definition, targetRef string) bool {
+	if def.Ref == targetRef {
+		return true
+	}
+
+	for _, d := range def.Defs {
+		if containsRef(d, targetRef) {
+			return true
+		}
+	}
+
+	for _, prop := range def.Properties {
+		if containsRef(prop, targetRef) {
+			return true
+		}
+	}
+
+	if def.Items != nil && containsRef(*def.Items, targetRef) {
+		return true
+	}
+	return false
+}

vendor/github.com/sashabaranov/go-openai/jsonschema/validate.go

@@ -0,0 +1,140 @@
+package jsonschema
+
+import (
+	"encoding/json"
+	"errors"
+)
+
+func CollectDefs(def Definition) map[string]Definition {
+	result := make(map[string]Definition)
+	collectDefsRecursive(def, result, "#")
+	return result
+}
+
+func collectDefsRecursive(def Definition, result map[string]Definition, prefix string) {
+	for k, v := range def.Defs {
+		path := prefix + "/$defs/" + k
+		result[path] = v
+		collectDefsRecursive(v, result, path)
+	}
+	for k, sub := range def.Properties {
+		collectDefsRecursive(sub, result, prefix+"/properties/"+k)
+	}
+	if def.Items != nil {
+		collectDefsRecursive(*def.Items, result, prefix)
+	}
+}
+
+func VerifySchemaAndUnmarshal(schema Definition, content []byte, v any) error {
+	var data any
+	err := json.Unmarshal(content, &data)
+	if err != nil {
+		return err
+	}
+	if !Validate(schema, data, WithDefs(CollectDefs(schema))) {
+		return errors.New("data validation failed against the provided schema")
+	}
+	return json.Unmarshal(content, &v)
+}
+
+type validateArgs struct {
+	Defs map[string]Definition
+}
+
+type ValidateOption func(*validateArgs)
+
+func WithDefs(defs map[string]Definition) ValidateOption {
+	return func(option *validateArgs) {
+		option.Defs = defs
+	}
+}
+
+func Validate(schema Definition, data any, opts ...ValidateOption) bool {
+	args := validateArgs{}
+	for _, opt := range opts {
+		opt(&args)
+	}
+	if len(opts) == 0 {
+		args.Defs = CollectDefs(schema)
+	}
+	switch schema.Type {
+	case Object:
+		return validateObject(schema, data, args.Defs)
+	case Array:
+		return validateArray(schema, data, args.Defs)
+	case String:
+		v, ok := data.(string)
+		if ok && len(schema.Enum) > 0 {
+			return contains(schema.Enum, v)
+		}
+		return ok
+	case Number: // float64 and int
+		_, ok := data.(float64)
+		if !ok {
+			_, ok = data.(int)
+		}
+		return ok
+	case Boolean:
+		_, ok := data.(bool)
+		return ok
+	case Integer:
+		// Golang unmarshals all numbers as float64, so we need to check if the float64 is an integer
+		if num, ok := data.(float64); ok {
+			return num == float64(int64(num))
+		}
+		_, ok := data.(int)
+		return ok
+	case Null:
+		return data == nil
+	default:
+		if schema.Ref != "" && args.Defs != nil {
+			if v, ok := args.Defs[schema.Ref]; ok {
+				return Validate(v, data, WithDefs(args.Defs))
+			}
+		}
+		return false
+	}
+}
+
+func validateObject(schema Definition, data any, defs map[string]Definition) bool {
+	dataMap, ok := data.(map[string]any)
+	if !ok {
+		return false
+	}
+	for _, field := range schema.Required {
+		if _, exists := dataMap[field]; !exists {
+			return false
+		}
+	}
+	for key, valueSchema := range schema.Properties {
+		value, exists := dataMap[key]
+		if exists && !Validate(valueSchema, value, WithDefs(defs)) {
+			return false
+		} else if !exists && contains(schema.Required, key) {
+			return false
+		}
+	}
+	return true
+}
+
+func validateArray(schema Definition, data any, defs map[string]Definition) bool {
+	dataArray, ok := data.([]any)
+	if !ok {
+		return false
+	}
+	for _, item := range dataArray {
+		if !Validate(*schema.Items, item, WithDefs(defs)) {
+			return false
+		}
+	}
+	return true
+}
+
+func contains[S ~[]E, E comparable](s S, v E) bool {
+	for i := range s {
+		if v == s[i] {
+			return true
+		}
+	}
+	return false
+}

vendor/github.com/sashabaranov/go-openai/messages.go

@@ -0,0 +1,224 @@
+package openai
+
+import (
+	"context"
+	"fmt"
+	"net/http"
+	"net/url"
+)
+
+const (
+	messagesSuffix = "messages"
+)
+
+type Message struct {
+	ID          string           `json:"id"`
+	Object      string           `json:"object"`
+	CreatedAt   int              `json:"created_at"`
+	ThreadID    string           `json:"thread_id"`
+	Role        string           `json:"role"`
+	Content     []MessageContent `json:"content"`
+	FileIds     []string         `json:"file_ids"` //nolint:revive //backwards-compatibility
+	AssistantID *string          `json:"assistant_id,omitempty"`
+	RunID       *string          `json:"run_id,omitempty"`
+	Metadata    map[string]any   `json:"metadata"`
+
+	httpHeader
+}
+
+type MessagesList struct {
+	Messages []Message `json:"data"`
+
+	Object  string  `json:"object"`
+	FirstID *string `json:"first_id"`
+	LastID  *string `json:"last_id"`
+	HasMore bool    `json:"has_more"`
+
+	httpHeader
+}
+
+type MessageContent struct {
+	Type      string       `json:"type"`
+	Text      *MessageText `json:"text,omitempty"`
+	ImageFile *ImageFile   `json:"image_file,omitempty"`
+	ImageURL  *ImageURL    `json:"image_url,omitempty"`
+}
+type MessageText struct {
+	Value       string `json:"value"`
+	Annotations []any  `json:"annotations"`
+}
+
+type ImageFile struct {
+	FileID string `json:"file_id"`
+}
+
+type ImageURL struct {
+	URL    string `json:"url"`
+	Detail string `json:"detail"`
+}
+
+type MessageRequest struct {
+	Role        string             `json:"role"`
+	Content     string             `json:"content"`
+	FileIds     []string           `json:"file_ids,omitempty"` //nolint:revive // backwards-compatibility
+	Metadata    map[string]any     `json:"metadata,omitempty"`
+	Attachments []ThreadAttachment `json:"attachments,omitempty"`
+}
+
+type MessageFile struct {
+	ID        string `json:"id"`
+	Object    string `json:"object"`
+	CreatedAt int    `json:"created_at"`
+	MessageID string `json:"message_id"`
+
+	httpHeader
+}
+
+type MessageFilesList struct {
+	MessageFiles []MessageFile `json:"data"`
+
+	httpHeader
+}
+
+type MessageDeletionStatus struct {
+	ID      string `json:"id"`
+	Object  string `json:"object"`
+	Deleted bool   `json:"deleted"`
+
+	httpHeader
+}
+
+// CreateMessage creates a new message.
+func (c *Client) CreateMessage(ctx context.Context, threadID string, request MessageRequest) (msg Message, err error) {
+	urlSuffix := fmt.Sprintf("/threads/%s/%s", threadID, messagesSuffix)
+	req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), withBody(request),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &msg)
+	return
+}
+
+// ListMessage fetches all messages in the thread.
+func (c *Client) ListMessage(ctx context.Context, threadID string,
+	limit *int,
+	order *string,
+	after *string,
+	before *string,
+	runID *string,
+) (messages MessagesList, err error) {
+	urlValues := url.Values{}
+	if limit != nil {
+		urlValues.Add("limit", fmt.Sprintf("%d", *limit))
+	}
+	if order != nil {
+		urlValues.Add("order", *order)
+	}
+	if after != nil {
+		urlValues.Add("after", *after)
+	}
+	if before != nil {
+		urlValues.Add("before", *before)
+	}
+	if runID != nil {
+		urlValues.Add("run_id", *runID)
+	}
+
+	encodedValues := ""
+	if len(urlValues) > 0 {
+		encodedValues = "?" + urlValues.Encode()
+	}
+
+	urlSuffix := fmt.Sprintf("/threads/%s/%s%s", threadID, messagesSuffix, encodedValues)
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &messages)
+	return
+}
+
+// RetrieveMessage retrieves a Message.
+func (c *Client) RetrieveMessage(
+	ctx context.Context,
+	threadID, messageID string,
+) (msg Message, err error) {
+	urlSuffix := fmt.Sprintf("/threads/%s/%s/%s", threadID, messagesSuffix, messageID)
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &msg)
+	return
+}
+
+// ModifyMessage modifies a message.
+func (c *Client) ModifyMessage(
+	ctx context.Context,
+	threadID, messageID string,
+	metadata map[string]string,
+) (msg Message, err error) {
+	urlSuffix := fmt.Sprintf("/threads/%s/%s/%s", threadID, messagesSuffix, messageID)
+	req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix),
+		withBody(map[string]any{"metadata": metadata}), withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &msg)
+	return
+}
+
+// RetrieveMessageFile fetches a message file.
+func (c *Client) RetrieveMessageFile(
+	ctx context.Context,
+	threadID, messageID, fileID string,
+) (file MessageFile, err error) {
+	urlSuffix := fmt.Sprintf("/threads/%s/%s/%s/files/%s", threadID, messagesSuffix, messageID, fileID)
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &file)
+	return
+}
+
+// ListMessageFiles fetches all files attached to a message.
+func (c *Client) ListMessageFiles(
+	ctx context.Context,
+	threadID, messageID string,
+) (files MessageFilesList, err error) {
+	urlSuffix := fmt.Sprintf("/threads/%s/%s/%s/files", threadID, messagesSuffix, messageID)
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &files)
+	return
+}
+
+// DeleteMessage deletes a message..
+func (c *Client) DeleteMessage(
+	ctx context.Context,
+	threadID, messageID string,
+) (status MessageDeletionStatus, err error) {
+	urlSuffix := fmt.Sprintf("/threads/%s/%s/%s", threadID, messagesSuffix, messageID)
+	req, err := c.newRequest(ctx, http.MethodDelete, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &status)
+	return
+}

vendor/github.com/sashabaranov/go-openai/models.go

@@ -0,0 +1,90 @@
+package openai
+
+import (
+	"context"
+	"fmt"
+	"net/http"
+)
+
+// Model struct represents an OpenAPI model.
+type Model struct {
+	CreatedAt  int64        `json:"created"`
+	ID         string       `json:"id"`
+	Object     string       `json:"object"`
+	OwnedBy    string       `json:"owned_by"`
+	Permission []Permission `json:"permission"`
+	Root       string       `json:"root"`
+	Parent     string       `json:"parent"`
+
+	httpHeader
+}
+
+// Permission struct represents an OpenAPI permission.
+type Permission struct {
+	CreatedAt          int64       `json:"created"`
+	ID                 string      `json:"id"`
+	Object             string      `json:"object"`
+	AllowCreateEngine  bool        `json:"allow_create_engine"`
+	AllowSampling      bool        `json:"allow_sampling"`
+	AllowLogprobs      bool        `json:"allow_logprobs"`
+	AllowSearchIndices bool        `json:"allow_search_indices"`
+	AllowView          bool        `json:"allow_view"`
+	AllowFineTuning    bool        `json:"allow_fine_tuning"`
+	Organization       string      `json:"organization"`
+	Group              interface{} `json:"group"`
+	IsBlocking         bool        `json:"is_blocking"`
+}
+
+// FineTuneModelDeleteResponse represents the deletion status of a fine-tuned model.
+type FineTuneModelDeleteResponse struct {
+	ID      string `json:"id"`
+	Object  string `json:"object"`
+	Deleted bool   `json:"deleted"`
+
+	httpHeader
+}
+
+// ModelsList is a list of models, including those that belong to the user or organization.
+type ModelsList struct {
+	Models []Model `json:"data"`
+
+	httpHeader
+}
+
+// ListModels Lists the currently available models,
+// and provides basic information about each model such as the model id and parent.
+func (c *Client) ListModels(ctx context.Context) (models ModelsList, err error) {
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL("/models"))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &models)
+	return
+}
+
+// GetModel Retrieves a model instance, providing basic information about
+// the model such as the owner and permissioning.
+func (c *Client) GetModel(ctx context.Context, modelID string) (model Model, err error) {
+	urlSuffix := fmt.Sprintf("/models/%s", modelID)
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &model)
+	return
+}
+
+// DeleteFineTuneModel Deletes a fine-tune model. You must have the Owner
+// role in your organization to delete a model.
+func (c *Client) DeleteFineTuneModel(ctx context.Context, modelID string) (
+	response FineTuneModelDeleteResponse, err error) {
+	req, err := c.newRequest(ctx, http.MethodDelete, c.fullURL("/models/"+modelID))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}

vendor/github.com/sashabaranov/go-openai/moderation.go

@@ -0,0 +1,107 @@
+package openai
+
+import (
+	"context"
+	"errors"
+	"net/http"
+)
+
+// The moderation endpoint is a tool you can use to check whether content complies with OpenAI's usage policies.
+// Developers can thus identify content that our usage policies prohibits and take action, for instance by filtering it.
+
+// The default is text-moderation-latest which will be automatically upgraded over time.
+// This ensures you are always using our most accurate model.
+// If you use text-moderation-stable, we will provide advanced notice before updating the model.
+// Accuracy of text-moderation-stable may be slightly lower than for text-moderation-latest.
+const (
+	ModerationOmniLatest   = "omni-moderation-latest"
+	ModerationOmni20240926 = "omni-moderation-2024-09-26"
+	ModerationTextStable   = "text-moderation-stable"
+	ModerationTextLatest   = "text-moderation-latest"
+	// Deprecated: use ModerationTextStable and ModerationTextLatest instead.
+	ModerationText001 = "text-moderation-001"
+)
+
+var (
+	ErrModerationInvalidModel = errors.New("this model is not supported with moderation, please use text-moderation-stable or text-moderation-latest instead") //nolint:lll
+)
+
+var validModerationModel = map[string]struct{}{
+	ModerationOmniLatest:   {},
+	ModerationOmni20240926: {},
+	ModerationTextStable:   {},
+	ModerationTextLatest:   {},
+}
+
+// ModerationRequest represents a request structure for moderation API.
+type ModerationRequest struct {
+	Input string `json:"input,omitempty"`
+	Model string `json:"model,omitempty"`
+}
+
+// Result represents one of possible moderation results.
+type Result struct {
+	Categories     ResultCategories     `json:"categories"`
+	CategoryScores ResultCategoryScores `json:"category_scores"`
+	Flagged        bool                 `json:"flagged"`
+}
+
+// ResultCategories represents Categories of Result.
+type ResultCategories struct {
+	Hate                  bool `json:"hate"`
+	HateThreatening       bool `json:"hate/threatening"`
+	Harassment            bool `json:"harassment"`
+	HarassmentThreatening bool `json:"harassment/threatening"`
+	SelfHarm              bool `json:"self-harm"`
+	SelfHarmIntent        bool `json:"self-harm/intent"`
+	SelfHarmInstructions  bool `json:"self-harm/instructions"`
+	Sexual                bool `json:"sexual"`
+	SexualMinors          bool `json:"sexual/minors"`
+	Violence              bool `json:"violence"`
+	ViolenceGraphic       bool `json:"violence/graphic"`
+}
+
+// ResultCategoryScores represents CategoryScores of Result.
+type ResultCategoryScores struct {
+	Hate                  float32 `json:"hate"`
+	HateThreatening       float32 `json:"hate/threatening"`
+	Harassment            float32 `json:"harassment"`
+	HarassmentThreatening float32 `json:"harassment/threatening"`
+	SelfHarm              float32 `json:"self-harm"`
+	SelfHarmIntent        float32 `json:"self-harm/intent"`
+	SelfHarmInstructions  float32 `json:"self-harm/instructions"`
+	Sexual                float32 `json:"sexual"`
+	SexualMinors          float32 `json:"sexual/minors"`
+	Violence              float32 `json:"violence"`
+	ViolenceGraphic       float32 `json:"violence/graphic"`
+}
+
+// ModerationResponse represents a response structure for moderation API.
+type ModerationResponse struct {
+	ID      string   `json:"id"`
+	Model   string   `json:"model"`
+	Results []Result `json:"results"`
+
+	httpHeader
+}
+
+// Moderations — perform a moderation api call over a string.
+// Input can be an array or slice but a string will reduce the complexity.
+func (c *Client) Moderations(ctx context.Context, request ModerationRequest) (response ModerationResponse, err error) {
+	if _, ok := validModerationModel[request.Model]; len(request.Model) > 0 && !ok {
+		err = ErrModerationInvalidModel
+		return
+	}
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL("/moderations", withModel(request.Model)),
+		withBody(&request),
+	)
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}

vendor/github.com/sashabaranov/go-openai/ratelimit.go

@@ -0,0 +1,43 @@
+package openai
+
+import (
+	"net/http"
+	"strconv"
+	"time"
+)
+
+// RateLimitHeaders struct represents Openai rate limits headers.
+type RateLimitHeaders struct {
+	LimitRequests     int       `json:"x-ratelimit-limit-requests"`
+	LimitTokens       int       `json:"x-ratelimit-limit-tokens"`
+	RemainingRequests int       `json:"x-ratelimit-remaining-requests"`
+	RemainingTokens   int       `json:"x-ratelimit-remaining-tokens"`
+	ResetRequests     ResetTime `json:"x-ratelimit-reset-requests"`
+	ResetTokens       ResetTime `json:"x-ratelimit-reset-tokens"`
+}
+
+type ResetTime string
+
+func (r ResetTime) String() string {
+	return string(r)
+}
+
+func (r ResetTime) Time() time.Time {
+	d, _ := time.ParseDuration(string(r))
+	return time.Now().Add(d)
+}
+
+func newRateLimitHeaders(h http.Header) RateLimitHeaders {
+	limitReq, _ := strconv.Atoi(h.Get("x-ratelimit-limit-requests"))
+	limitTokens, _ := strconv.Atoi(h.Get("x-ratelimit-limit-tokens"))
+	remainingReq, _ := strconv.Atoi(h.Get("x-ratelimit-remaining-requests"))
+	remainingTokens, _ := strconv.Atoi(h.Get("x-ratelimit-remaining-tokens"))
+	return RateLimitHeaders{
+		LimitRequests:     limitReq,
+		LimitTokens:       limitTokens,
+		RemainingRequests: remainingReq,
+		RemainingTokens:   remainingTokens,
+		ResetRequests:     ResetTime(h.Get("x-ratelimit-reset-requests")),
+		ResetTokens:       ResetTime(h.Get("x-ratelimit-reset-tokens")),
+	}
+}

vendor/github.com/sashabaranov/go-openai/reasoning_validator.go

@@ -0,0 +1,82 @@
+package openai
+
+import (
+	"errors"
+	"strings"
+)
+
+var (
+	// Deprecated: use ErrReasoningModelMaxTokensDeprecated instead.
+	ErrO1MaxTokensDeprecated                   = errors.New("this model is not supported MaxTokens, please use MaxCompletionTokens")                               //nolint:lll
+	ErrCompletionUnsupportedModel              = errors.New("this model is not supported with this method, please use CreateChatCompletion client method instead") //nolint:lll
+	ErrCompletionStreamNotSupported            = errors.New("streaming is not supported with this method, please use CreateCompletionStream")                      //nolint:lll
+	ErrCompletionRequestPromptTypeNotSupported = errors.New("the type of CompletionRequest.Prompt only supports string and []string")                              //nolint:lll
+)
+
+var (
+	ErrO1BetaLimitationsMessageTypes = errors.New("this model has beta-limitations, user and assistant messages only, system messages are not supported")       //nolint:lll
+	ErrO1BetaLimitationsTools        = errors.New("this model has beta-limitations, tools, function calling, and response format parameters are not supported") //nolint:lll
+	// Deprecated: use ErrReasoningModelLimitations* instead.
+	ErrO1BetaLimitationsLogprobs = errors.New("this model has beta-limitations, logprobs not supported")                                                                               //nolint:lll
+	ErrO1BetaLimitationsOther    = errors.New("this model has beta-limitations, temperature, top_p and n are fixed at 1, while presence_penalty and frequency_penalty are fixed at 0") //nolint:lll
+)
+
+var (
+	//nolint:lll
+	ErrReasoningModelMaxTokensDeprecated = errors.New("this model is not supported MaxTokens, please use MaxCompletionTokens")
+	ErrReasoningModelLimitationsLogprobs = errors.New("this model has beta-limitations, logprobs not supported")                                                                               //nolint:lll
+	ErrReasoningModelLimitationsOther    = errors.New("this model has beta-limitations, temperature, top_p and n are fixed at 1, while presence_penalty and frequency_penalty are fixed at 0") //nolint:lll
+)
+
+// ReasoningValidator handles validation for reasoning model requests.
+type ReasoningValidator struct{}
+
+// NewReasoningValidator creates a new validator for reasoning models.
+func NewReasoningValidator() *ReasoningValidator {
+	return &ReasoningValidator{}
+}
+
+// Validate performs all validation checks for reasoning models.
+func (v *ReasoningValidator) Validate(request ChatCompletionRequest) error {
+	o1Series := strings.HasPrefix(request.Model, "o1")
+	o3Series := strings.HasPrefix(request.Model, "o3")
+	o4Series := strings.HasPrefix(request.Model, "o4")
+	gpt5Series := strings.HasPrefix(request.Model, "gpt-5")
+
+	if !o1Series && !o3Series && !o4Series && !gpt5Series {
+		return nil
+	}
+
+	if err := v.validateReasoningModelParams(request); err != nil {
+		return err
+	}
+
+	return nil
+}
+
+// validateReasoningModelParams checks reasoning model parameters.
+func (v *ReasoningValidator) validateReasoningModelParams(request ChatCompletionRequest) error {
+	if request.MaxTokens > 0 {
+		return ErrReasoningModelMaxTokensDeprecated
+	}
+	if request.LogProbs {
+		return ErrReasoningModelLimitationsLogprobs
+	}
+	if request.Temperature > 0 && request.Temperature != 1 {
+		return ErrReasoningModelLimitationsOther
+	}
+	if request.TopP > 0 && request.TopP != 1 {
+		return ErrReasoningModelLimitationsOther
+	}
+	if request.N > 0 && request.N != 1 {
+		return ErrReasoningModelLimitationsOther
+	}
+	if request.PresencePenalty > 0 {
+		return ErrReasoningModelLimitationsOther
+	}
+	if request.FrequencyPenalty > 0 {
+		return ErrReasoningModelLimitationsOther
+	}
+
+	return nil
+}

vendor/github.com/sashabaranov/go-openai/run.go

@@ -0,0 +1,454 @@
+package openai
+
+import (
+	"context"
+	"fmt"
+	"net/http"
+	"net/url"
+)
+
+type Run struct {
+	ID             string             `json:"id"`
+	Object         string             `json:"object"`
+	CreatedAt      int64              `json:"created_at"`
+	ThreadID       string             `json:"thread_id"`
+	AssistantID    string             `json:"assistant_id"`
+	Status         RunStatus          `json:"status"`
+	RequiredAction *RunRequiredAction `json:"required_action,omitempty"`
+	LastError      *RunLastError      `json:"last_error,omitempty"`
+	ExpiresAt      int64              `json:"expires_at"`
+	StartedAt      *int64             `json:"started_at,omitempty"`
+	CancelledAt    *int64             `json:"cancelled_at,omitempty"`
+	FailedAt       *int64             `json:"failed_at,omitempty"`
+	CompletedAt    *int64             `json:"completed_at,omitempty"`
+	Model          string             `json:"model"`
+	Instructions   string             `json:"instructions,omitempty"`
+	Tools          []Tool             `json:"tools"`
+	FileIDS        []string           `json:"file_ids"` //nolint:revive // backwards-compatibility
+	Metadata       map[string]any     `json:"metadata"`
+	Usage          Usage              `json:"usage,omitempty"`
+
+	Temperature *float32 `json:"temperature,omitempty"`
+	// The maximum number of prompt tokens that may be used over the course of the run.
+	// If the run exceeds the number of prompt tokens specified, the run will end with status 'incomplete'.
+	MaxPromptTokens int `json:"max_prompt_tokens,omitempty"`
+	// The maximum number of completion tokens that may be used over the course of the run.
+	// If the run exceeds the number of completion tokens specified, the run will end with status 'incomplete'.
+	MaxCompletionTokens int `json:"max_completion_tokens,omitempty"`
+	// ThreadTruncationStrategy defines the truncation strategy to use for the thread.
+	TruncationStrategy *ThreadTruncationStrategy `json:"truncation_strategy,omitempty"`
+
+	httpHeader
+}
+
+type RunStatus string
+
+const (
+	RunStatusQueued         RunStatus = "queued"
+	RunStatusInProgress     RunStatus = "in_progress"
+	RunStatusRequiresAction RunStatus = "requires_action"
+	RunStatusCancelling     RunStatus = "cancelling"
+	RunStatusFailed         RunStatus = "failed"
+	RunStatusCompleted      RunStatus = "completed"
+	RunStatusIncomplete     RunStatus = "incomplete"
+	RunStatusExpired        RunStatus = "expired"
+	RunStatusCancelled      RunStatus = "cancelled"
+)
+
+type RunRequiredAction struct {
+	Type              RequiredActionType `json:"type"`
+	SubmitToolOutputs *SubmitToolOutputs `json:"submit_tool_outputs,omitempty"`
+}
+
+type RequiredActionType string
+
+const (
+	RequiredActionTypeSubmitToolOutputs RequiredActionType = "submit_tool_outputs"
+)
+
+type SubmitToolOutputs struct {
+	ToolCalls []ToolCall `json:"tool_calls"`
+}
+
+type RunLastError struct {
+	Code    RunError `json:"code"`
+	Message string   `json:"message"`
+}
+
+type RunError string
+
+const (
+	RunErrorServerError       RunError = "server_error"
+	RunErrorRateLimitExceeded RunError = "rate_limit_exceeded"
+)
+
+type RunRequest struct {
+	AssistantID            string          `json:"assistant_id"`
+	Model                  string          `json:"model,omitempty"`
+	Instructions           string          `json:"instructions,omitempty"`
+	AdditionalInstructions string          `json:"additional_instructions,omitempty"`
+	AdditionalMessages     []ThreadMessage `json:"additional_messages,omitempty"`
+	Tools                  []Tool          `json:"tools,omitempty"`
+	Metadata               map[string]any  `json:"metadata,omitempty"`
+
+	// Sampling temperature between 0 and 2. Higher values like 0.8 are  more random.
+	// lower values are more focused and deterministic.
+	Temperature *float32 `json:"temperature,omitempty"`
+	TopP        *float32 `json:"top_p,omitempty"`
+
+	// The maximum number of prompt tokens that may be used over the course of the run.
+	// If the run exceeds the number of prompt tokens specified, the run will end with status 'incomplete'.
+	MaxPromptTokens int `json:"max_prompt_tokens,omitempty"`
+
+	// The maximum number of completion tokens that may be used over the course of the run.
+	// If the run exceeds the number of completion tokens specified, the run will end with status 'incomplete'.
+	MaxCompletionTokens int `json:"max_completion_tokens,omitempty"`
+
+	// ThreadTruncationStrategy defines the truncation strategy to use for the thread.
+	TruncationStrategy *ThreadTruncationStrategy `json:"truncation_strategy,omitempty"`
+
+	// This can be either a string or a ToolChoice object.
+	ToolChoice any `json:"tool_choice,omitempty"`
+	// This can be either a string or a ResponseFormat object.
+	ResponseFormat any `json:"response_format,omitempty"`
+	// Disable the default behavior of parallel tool calls by setting it: false.
+	ParallelToolCalls any `json:"parallel_tool_calls,omitempty"`
+}
+
+// ThreadTruncationStrategy defines the truncation strategy to use for the thread.
+// https://platform.openai.com/docs/assistants/how-it-works/truncation-strategy.
+type ThreadTruncationStrategy struct {
+	// default 'auto'.
+	Type TruncationStrategy `json:"type,omitempty"`
+	// this field should be set if the truncation strategy is set to LastMessages.
+	LastMessages *int `json:"last_messages,omitempty"`
+}
+
+// TruncationStrategy defines the existing truncation strategies existing for thread management in an assistant.
+type TruncationStrategy string
+
+const (
+	// TruncationStrategyAuto messages in the middle of the thread will be dropped to fit the context length of the model.
+	TruncationStrategyAuto = TruncationStrategy("auto")
+	// TruncationStrategyLastMessages the thread will be truncated to the n most recent messages in the thread.
+	TruncationStrategyLastMessages = TruncationStrategy("last_messages")
+)
+
+// ReponseFormat specifies the format the model must output.
+// https://platform.openai.com/docs/api-reference/runs/createRun#runs-createrun-response_format.
+// Type can either be text or json_object.
+type ReponseFormat struct {
+	Type string `json:"type"`
+}
+
+type RunModifyRequest struct {
+	Metadata map[string]any `json:"metadata,omitempty"`
+}
+
+// RunList is a list of runs.
+type RunList struct {
+	Runs []Run `json:"data"`
+
+	httpHeader
+}
+
+type SubmitToolOutputsRequest struct {
+	ToolOutputs []ToolOutput `json:"tool_outputs"`
+}
+
+type ToolOutput struct {
+	ToolCallID string `json:"tool_call_id"`
+	Output     any    `json:"output"`
+}
+
+type CreateThreadAndRunRequest struct {
+	RunRequest
+	Thread ThreadRequest `json:"thread"`
+}
+
+type RunStep struct {
+	ID          string         `json:"id"`
+	Object      string         `json:"object"`
+	CreatedAt   int64          `json:"created_at"`
+	AssistantID string         `json:"assistant_id"`
+	ThreadID    string         `json:"thread_id"`
+	RunID       string         `json:"run_id"`
+	Type        RunStepType    `json:"type"`
+	Status      RunStepStatus  `json:"status"`
+	StepDetails StepDetails    `json:"step_details"`
+	LastError   *RunLastError  `json:"last_error,omitempty"`
+	ExpiredAt   *int64         `json:"expired_at,omitempty"`
+	CancelledAt *int64         `json:"cancelled_at,omitempty"`
+	FailedAt    *int64         `json:"failed_at,omitempty"`
+	CompletedAt *int64         `json:"completed_at,omitempty"`
+	Metadata    map[string]any `json:"metadata"`
+
+	httpHeader
+}
+
+type RunStepStatus string
+
+const (
+	RunStepStatusInProgress RunStepStatus = "in_progress"
+	RunStepStatusCancelling RunStepStatus = "cancelled"
+	RunStepStatusFailed     RunStepStatus = "failed"
+	RunStepStatusCompleted  RunStepStatus = "completed"
+	RunStepStatusExpired    RunStepStatus = "expired"
+)
+
+type RunStepType string
+
+const (
+	RunStepTypeMessageCreation RunStepType = "message_creation"
+	RunStepTypeToolCalls       RunStepType = "tool_calls"
+)
+
+type StepDetails struct {
+	Type            RunStepType                 `json:"type"`
+	MessageCreation *StepDetailsMessageCreation `json:"message_creation,omitempty"`
+	ToolCalls       []ToolCall                  `json:"tool_calls,omitempty"`
+}
+
+type StepDetailsMessageCreation struct {
+	MessageID string `json:"message_id"`
+}
+
+// RunStepList is a list of steps.
+type RunStepList struct {
+	RunSteps []RunStep `json:"data"`
+
+	FirstID string `json:"first_id"`
+	LastID  string `json:"last_id"`
+	HasMore bool   `json:"has_more"`
+
+	httpHeader
+}
+
+type Pagination struct {
+	Limit  *int
+	Order  *string
+	After  *string
+	Before *string
+}
+
+// CreateRun creates a new run.
+func (c *Client) CreateRun(
+	ctx context.Context,
+	threadID string,
+	request RunRequest,
+) (response Run, err error) {
+	urlSuffix := fmt.Sprintf("/threads/%s/runs", threadID)
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL(urlSuffix),
+		withBody(request),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// RetrieveRun retrieves a run.
+func (c *Client) RetrieveRun(
+	ctx context.Context,
+	threadID string,
+	runID string,
+) (response Run, err error) {
+	urlSuffix := fmt.Sprintf("/threads/%s/runs/%s", threadID, runID)
+	req, err := c.newRequest(
+		ctx,
+		http.MethodGet,
+		c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// ModifyRun modifies a run.
+func (c *Client) ModifyRun(
+	ctx context.Context,
+	threadID string,
+	runID string,
+	request RunModifyRequest,
+) (response Run, err error) {
+	urlSuffix := fmt.Sprintf("/threads/%s/runs/%s", threadID, runID)
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL(urlSuffix),
+		withBody(request),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// ListRuns lists runs.
+func (c *Client) ListRuns(
+	ctx context.Context,
+	threadID string,
+	pagination Pagination,
+) (response RunList, err error) {
+	urlValues := url.Values{}
+	if pagination.Limit != nil {
+		urlValues.Add("limit", fmt.Sprintf("%d", *pagination.Limit))
+	}
+	if pagination.Order != nil {
+		urlValues.Add("order", *pagination.Order)
+	}
+	if pagination.After != nil {
+		urlValues.Add("after", *pagination.After)
+	}
+	if pagination.Before != nil {
+		urlValues.Add("before", *pagination.Before)
+	}
+
+	encodedValues := ""
+	if len(urlValues) > 0 {
+		encodedValues = "?" + urlValues.Encode()
+	}
+
+	urlSuffix := fmt.Sprintf("/threads/%s/runs%s", threadID, encodedValues)
+	req, err := c.newRequest(
+		ctx,
+		http.MethodGet,
+		c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// SubmitToolOutputs submits tool outputs.
+func (c *Client) SubmitToolOutputs(
+	ctx context.Context,
+	threadID string,
+	runID string,
+	request SubmitToolOutputsRequest) (response Run, err error) {
+	urlSuffix := fmt.Sprintf("/threads/%s/runs/%s/submit_tool_outputs", threadID, runID)
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL(urlSuffix),
+		withBody(request),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// CancelRun cancels a run.
+func (c *Client) CancelRun(
+	ctx context.Context,
+	threadID string,
+	runID string) (response Run, err error) {
+	urlSuffix := fmt.Sprintf("/threads/%s/runs/%s/cancel", threadID, runID)
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// CreateThreadAndRun submits tool outputs.
+func (c *Client) CreateThreadAndRun(
+	ctx context.Context,
+	request CreateThreadAndRunRequest) (response Run, err error) {
+	urlSuffix := "/threads/runs"
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL(urlSuffix),
+		withBody(request),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// RetrieveRunStep retrieves a run step.
+func (c *Client) RetrieveRunStep(
+	ctx context.Context,
+	threadID string,
+	runID string,
+	stepID string,
+) (response RunStep, err error) {
+	urlSuffix := fmt.Sprintf("/threads/%s/runs/%s/steps/%s", threadID, runID, stepID)
+	req, err := c.newRequest(
+		ctx,
+		http.MethodGet,
+		c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// ListRunSteps lists run steps.
+func (c *Client) ListRunSteps(
+	ctx context.Context,
+	threadID string,
+	runID string,
+	pagination Pagination,
+) (response RunStepList, err error) {
+	urlValues := url.Values{}
+	if pagination.Limit != nil {
+		urlValues.Add("limit", fmt.Sprintf("%d", *pagination.Limit))
+	}
+	if pagination.Order != nil {
+		urlValues.Add("order", *pagination.Order)
+	}
+	if pagination.After != nil {
+		urlValues.Add("after", *pagination.After)
+	}
+	if pagination.Before != nil {
+		urlValues.Add("before", *pagination.Before)
+	}
+
+	encodedValues := ""
+	if len(urlValues) > 0 {
+		encodedValues = "?" + urlValues.Encode()
+	}
+
+	urlSuffix := fmt.Sprintf("/threads/%s/runs/%s/steps%s", threadID, runID, encodedValues)
+	req, err := c.newRequest(
+		ctx,
+		http.MethodGet,
+		c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}

vendor/github.com/sashabaranov/go-openai/speech.go

@@ -0,0 +1,65 @@
+package openai
+
+import (
+	"context"
+	"net/http"
+)
+
+type SpeechModel string
+
+const (
+	TTSModel1         SpeechModel = "tts-1"
+	TTSModel1HD       SpeechModel = "tts-1-hd"
+	TTSModelCanary    SpeechModel = "canary-tts"
+	TTSModelGPT4oMini SpeechModel = "gpt-4o-mini-tts"
+)
+
+type SpeechVoice string
+
+const (
+	VoiceAlloy   SpeechVoice = "alloy"
+	VoiceAsh     SpeechVoice = "ash"
+	VoiceBallad  SpeechVoice = "ballad"
+	VoiceCoral   SpeechVoice = "coral"
+	VoiceEcho    SpeechVoice = "echo"
+	VoiceFable   SpeechVoice = "fable"
+	VoiceOnyx    SpeechVoice = "onyx"
+	VoiceNova    SpeechVoice = "nova"
+	VoiceShimmer SpeechVoice = "shimmer"
+	VoiceVerse   SpeechVoice = "verse"
+)
+
+type SpeechResponseFormat string
+
+const (
+	SpeechResponseFormatMp3  SpeechResponseFormat = "mp3"
+	SpeechResponseFormatOpus SpeechResponseFormat = "opus"
+	SpeechResponseFormatAac  SpeechResponseFormat = "aac"
+	SpeechResponseFormatFlac SpeechResponseFormat = "flac"
+	SpeechResponseFormatWav  SpeechResponseFormat = "wav"
+	SpeechResponseFormatPcm  SpeechResponseFormat = "pcm"
+)
+
+type CreateSpeechRequest struct {
+	Model          SpeechModel          `json:"model"`
+	Input          string               `json:"input"`
+	Voice          SpeechVoice          `json:"voice"`
+	Instructions   string               `json:"instructions,omitempty"`    // Optional, Doesnt work with tts-1 or tts-1-hd.
+	ResponseFormat SpeechResponseFormat `json:"response_format,omitempty"` // Optional, default to mp3
+	Speed          float64              `json:"speed,omitempty"`           // Optional, default to 1.0
+}
+
+func (c *Client) CreateSpeech(ctx context.Context, request CreateSpeechRequest) (response RawResponse, err error) {
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL("/audio/speech", withModel(string(request.Model))),
+		withBody(request),
+		withContentType("application/json"),
+	)
+	if err != nil {
+		return
+	}
+
+	return c.sendRequestRaw(req)
+}

vendor/github.com/sashabaranov/go-openai/stream.go

@@ -0,0 +1,55 @@
+package openai
+
+import (
+	"context"
+	"errors"
+	"net/http"
+)
+
+var (
+	ErrTooManyEmptyStreamMessages = errors.New("stream has sent too many empty messages")
+)
+
+type CompletionStream struct {
+	*streamReader[CompletionResponse]
+}
+
+// CreateCompletionStream — API call to create a completion w/ streaming
+// support. It sets whether to stream back partial progress. If set, tokens will be
+// sent as data-only server-sent events as they become available, with the
+// stream terminated by a data: [DONE] message.
+func (c *Client) CreateCompletionStream(
+	ctx context.Context,
+	request CompletionRequest,
+) (stream *CompletionStream, err error) {
+	urlSuffix := "/completions"
+	if !checkEndpointSupportsModel(urlSuffix, request.Model) {
+		err = ErrCompletionUnsupportedModel
+		return
+	}
+
+	if !checkPromptType(request.Prompt) {
+		err = ErrCompletionRequestPromptTypeNotSupported
+		return
+	}
+
+	request.Stream = true
+	req, err := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL(urlSuffix, withModel(request.Model)),
+		withBody(request),
+	)
+	if err != nil {
+		return nil, err
+	}
+
+	resp, err := sendRequestStream[CompletionResponse](c, req)
+	if err != nil {
+		return
+	}
+	stream = &CompletionStream{
+		streamReader: resp,
+	}
+	return
+}

vendor/github.com/sashabaranov/go-openai/stream_reader.go

@@ -0,0 +1,119 @@
+package openai
+
+import (
+	"bufio"
+	"bytes"
+	"fmt"
+	"io"
+	"net/http"
+	"regexp"
+
+	utils "github.com/sashabaranov/go-openai/internal"
+)
+
+var (
+	headerData  = regexp.MustCompile(`^data:\s*`)
+	errorPrefix = regexp.MustCompile(`^data:\s*{"error":`)
+)
+
+type streamable interface {
+	ChatCompletionStreamResponse | CompletionResponse
+}
+
+type streamReader[T streamable] struct {
+	emptyMessagesLimit uint
+	isFinished         bool
+
+	reader         *bufio.Reader
+	response       *http.Response
+	errAccumulator utils.ErrorAccumulator
+	unmarshaler    utils.Unmarshaler
+
+	httpHeader
+}
+
+func (stream *streamReader[T]) Recv() (response T, err error) {
+	rawLine, err := stream.RecvRaw()
+	if err != nil {
+		return
+	}
+
+	err = stream.unmarshaler.Unmarshal(rawLine, &response)
+	if err != nil {
+		return
+	}
+	return response, nil
+}
+
+func (stream *streamReader[T]) RecvRaw() ([]byte, error) {
+	if stream.isFinished {
+		return nil, io.EOF
+	}
+
+	return stream.processLines()
+}
+
+//nolint:gocognit
+func (stream *streamReader[T]) processLines() ([]byte, error) {
+	var (
+		emptyMessagesCount uint
+		hasErrorPrefix     bool
+	)
+
+	for {
+		rawLine, readErr := stream.reader.ReadBytes('\n')
+		if readErr != nil || hasErrorPrefix {
+			respErr := stream.unmarshalError()
+			if respErr != nil {
+				return nil, fmt.Errorf("error, %w", respErr.Error)
+			}
+			return nil, readErr
+		}
+
+		noSpaceLine := bytes.TrimSpace(rawLine)
+		if errorPrefix.Match(noSpaceLine) {
+			hasErrorPrefix = true
+		}
+		if !headerData.Match(noSpaceLine) || hasErrorPrefix {
+			if hasErrorPrefix {
+				noSpaceLine = headerData.ReplaceAll(noSpaceLine, nil)
+			}
+			writeErr := stream.errAccumulator.Write(noSpaceLine)
+			if writeErr != nil {
+				return nil, writeErr
+			}
+			emptyMessagesCount++
+			if emptyMessagesCount > stream.emptyMessagesLimit {
+				return nil, ErrTooManyEmptyStreamMessages
+			}
+
+			continue
+		}
+
+		noPrefixLine := headerData.ReplaceAll(noSpaceLine, nil)
+		if string(noPrefixLine) == "[DONE]" {
+			stream.isFinished = true
+			return nil, io.EOF
+		}
+
+		return noPrefixLine, nil
+	}
+}
+
+func (stream *streamReader[T]) unmarshalError() (errResp *ErrorResponse) {
+	errBytes := stream.errAccumulator.Bytes()
+	if len(errBytes) == 0 {
+		return
+	}
+
+	err := stream.unmarshaler.Unmarshal(errBytes, &errResp)
+	if err != nil {
+		errResp = nil
+	}
+
+	return
+}
+
+func (stream *streamReader[T]) Close() error {
+	return stream.response.Body.Close()
+}

vendor/github.com/sashabaranov/go-openai/thread.go

@@ -0,0 +1,171 @@
+package openai
+
+import (
+	"context"
+	"net/http"
+)
+
+const (
+	threadsSuffix = "/threads"
+)
+
+type Thread struct {
+	ID            string         `json:"id"`
+	Object        string         `json:"object"`
+	CreatedAt     int64          `json:"created_at"`
+	Metadata      map[string]any `json:"metadata"`
+	ToolResources ToolResources  `json:"tool_resources,omitempty"`
+
+	httpHeader
+}
+
+type ThreadRequest struct {
+	Messages      []ThreadMessage       `json:"messages,omitempty"`
+	Metadata      map[string]any        `json:"metadata,omitempty"`
+	ToolResources *ToolResourcesRequest `json:"tool_resources,omitempty"`
+}
+
+type ToolResources struct {
+	CodeInterpreter *CodeInterpreterToolResources `json:"code_interpreter,omitempty"`
+	FileSearch      *FileSearchToolResources      `json:"file_search,omitempty"`
+}
+
+type CodeInterpreterToolResources struct {
+	FileIDs []string `json:"file_ids,omitempty"`
+}
+
+type FileSearchToolResources struct {
+	VectorStoreIDs []string `json:"vector_store_ids,omitempty"`
+}
+
+type ToolResourcesRequest struct {
+	CodeInterpreter *CodeInterpreterToolResourcesRequest `json:"code_interpreter,omitempty"`
+	FileSearch      *FileSearchToolResourcesRequest      `json:"file_search,omitempty"`
+}
+
+type CodeInterpreterToolResourcesRequest struct {
+	FileIDs []string `json:"file_ids,omitempty"`
+}
+
+type FileSearchToolResourcesRequest struct {
+	VectorStoreIDs []string                   `json:"vector_store_ids,omitempty"`
+	VectorStores   []VectorStoreToolResources `json:"vector_stores,omitempty"`
+}
+
+type VectorStoreToolResources struct {
+	FileIDs          []string          `json:"file_ids,omitempty"`
+	ChunkingStrategy *ChunkingStrategy `json:"chunking_strategy,omitempty"`
+	Metadata         map[string]any    `json:"metadata,omitempty"`
+}
+
+type ChunkingStrategy struct {
+	Type   ChunkingStrategyType    `json:"type"`
+	Static *StaticChunkingStrategy `json:"static,omitempty"`
+}
+
+type StaticChunkingStrategy struct {
+	MaxChunkSizeTokens int `json:"max_chunk_size_tokens"`
+	ChunkOverlapTokens int `json:"chunk_overlap_tokens"`
+}
+
+type ChunkingStrategyType string
+
+const (
+	ChunkingStrategyTypeAuto   ChunkingStrategyType = "auto"
+	ChunkingStrategyTypeStatic ChunkingStrategyType = "static"
+)
+
+type ModifyThreadRequest struct {
+	Metadata      map[string]any `json:"metadata"`
+	ToolResources *ToolResources `json:"tool_resources,omitempty"`
+}
+
+type ThreadMessageRole string
+
+const (
+	ThreadMessageRoleAssistant ThreadMessageRole = "assistant"
+	ThreadMessageRoleUser      ThreadMessageRole = "user"
+)
+
+type ThreadMessage struct {
+	Role        ThreadMessageRole  `json:"role"`
+	Content     string             `json:"content"`
+	FileIDs     []string           `json:"file_ids,omitempty"`
+	Attachments []ThreadAttachment `json:"attachments,omitempty"`
+	Metadata    map[string]any     `json:"metadata,omitempty"`
+}
+
+type ThreadAttachment struct {
+	FileID string                 `json:"file_id"`
+	Tools  []ThreadAttachmentTool `json:"tools"`
+}
+
+type ThreadAttachmentTool struct {
+	Type string `json:"type"`
+}
+
+type ThreadDeleteResponse struct {
+	ID      string `json:"id"`
+	Object  string `json:"object"`
+	Deleted bool   `json:"deleted"`
+
+	httpHeader
+}
+
+// CreateThread creates a new thread.
+func (c *Client) CreateThread(ctx context.Context, request ThreadRequest) (response Thread, err error) {
+	req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(threadsSuffix), withBody(request),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// RetrieveThread retrieves a thread.
+func (c *Client) RetrieveThread(ctx context.Context, threadID string) (response Thread, err error) {
+	urlSuffix := threadsSuffix + "/" + threadID
+	req, err := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// ModifyThread modifies a thread.
+func (c *Client) ModifyThread(
+	ctx context.Context,
+	threadID string,
+	request ModifyThreadRequest,
+) (response Thread, err error) {
+	urlSuffix := threadsSuffix + "/" + threadID
+	req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), withBody(request),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// DeleteThread deletes a thread.
+func (c *Client) DeleteThread(
+	ctx context.Context,
+	threadID string,
+) (response ThreadDeleteResponse, err error) {
+	urlSuffix := threadsSuffix + "/" + threadID
+	req, err := c.newRequest(ctx, http.MethodDelete, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+	if err != nil {
+		return
+	}
+
+	err = c.sendRequest(req, &response)
+	return
+}

vendor/github.com/sashabaranov/go-openai/vector_store.go

@@ -0,0 +1,348 @@
+package openai
+
+import (
+	"context"
+	"fmt"
+	"net/http"
+	"net/url"
+)
+
+const (
+	vectorStoresSuffix            = "/vector_stores"
+	vectorStoresFilesSuffix       = "/files"
+	vectorStoresFileBatchesSuffix = "/file_batches"
+)
+
+type VectorStoreFileCount struct {
+	InProgress int `json:"in_progress"`
+	Completed  int `json:"completed"`
+	Failed     int `json:"failed"`
+	Cancelled  int `json:"cancelled"`
+	Total      int `json:"total"`
+}
+
+type VectorStore struct {
+	ID           string               `json:"id"`
+	Object       string               `json:"object"`
+	CreatedAt    int64                `json:"created_at"`
+	Name         string               `json:"name"`
+	UsageBytes   int                  `json:"usage_bytes"`
+	FileCounts   VectorStoreFileCount `json:"file_counts"`
+	Status       string               `json:"status"`
+	ExpiresAfter *VectorStoreExpires  `json:"expires_after"`
+	ExpiresAt    *int                 `json:"expires_at"`
+	Metadata     map[string]any       `json:"metadata"`
+
+	httpHeader
+}
+
+type VectorStoreExpires struct {
+	Anchor string `json:"anchor"`
+	Days   int    `json:"days"`
+}
+
+// VectorStoreRequest provides the vector store request parameters.
+type VectorStoreRequest struct {
+	Name         string              `json:"name,omitempty"`
+	FileIDs      []string            `json:"file_ids,omitempty"`
+	ExpiresAfter *VectorStoreExpires `json:"expires_after,omitempty"`
+	Metadata     map[string]any      `json:"metadata,omitempty"`
+}
+
+// VectorStoresList is a list of vector store.
+type VectorStoresList struct {
+	VectorStores []VectorStore `json:"data"`
+	LastID       *string       `json:"last_id"`
+	FirstID      *string       `json:"first_id"`
+	HasMore      bool          `json:"has_more"`
+	httpHeader
+}
+
+type VectorStoreDeleteResponse struct {
+	ID      string `json:"id"`
+	Object  string `json:"object"`
+	Deleted bool   `json:"deleted"`
+
+	httpHeader
+}
+
+type VectorStoreFile struct {
+	ID            string `json:"id"`
+	Object        string `json:"object"`
+	CreatedAt     int64  `json:"created_at"`
+	VectorStoreID string `json:"vector_store_id"`
+	UsageBytes    int    `json:"usage_bytes"`
+	Status        string `json:"status"`
+
+	httpHeader
+}
+
+type VectorStoreFileRequest struct {
+	FileID string `json:"file_id"`
+}
+
+type VectorStoreFilesList struct {
+	VectorStoreFiles []VectorStoreFile `json:"data"`
+	FirstID          *string           `json:"first_id"`
+	LastID           *string           `json:"last_id"`
+	HasMore          bool              `json:"has_more"`
+
+	httpHeader
+}
+
+type VectorStoreFileBatch struct {
+	ID            string               `json:"id"`
+	Object        string               `json:"object"`
+	CreatedAt     int64                `json:"created_at"`
+	VectorStoreID string               `json:"vector_store_id"`
+	Status        string               `json:"status"`
+	FileCounts    VectorStoreFileCount `json:"file_counts"`
+
+	httpHeader
+}
+
+type VectorStoreFileBatchRequest struct {
+	FileIDs []string `json:"file_ids"`
+}
+
+// CreateVectorStore creates a new vector store.
+func (c *Client) CreateVectorStore(ctx context.Context, request VectorStoreRequest) (response VectorStore, err error) {
+	req, _ := c.newRequest(
+		ctx,
+		http.MethodPost,
+		c.fullURL(vectorStoresSuffix),
+		withBody(request),
+		withBetaAssistantVersion(c.config.AssistantVersion),
+	)
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// RetrieveVectorStore retrieves an vector store.
+func (c *Client) RetrieveVectorStore(
+	ctx context.Context,
+	vectorStoreID string,
+) (response VectorStore, err error) {
+	urlSuffix := fmt.Sprintf("%s/%s", vectorStoresSuffix, vectorStoreID)
+	req, _ := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// ModifyVectorStore modifies a vector store.
+func (c *Client) ModifyVectorStore(
+	ctx context.Context,
+	vectorStoreID string,
+	request VectorStoreRequest,
+) (response VectorStore, err error) {
+	urlSuffix := fmt.Sprintf("%s/%s", vectorStoresSuffix, vectorStoreID)
+	req, _ := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix), withBody(request),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// DeleteVectorStore deletes an vector store.
+func (c *Client) DeleteVectorStore(
+	ctx context.Context,
+	vectorStoreID string,
+) (response VectorStoreDeleteResponse, err error) {
+	urlSuffix := fmt.Sprintf("%s/%s", vectorStoresSuffix, vectorStoreID)
+	req, _ := c.newRequest(ctx, http.MethodDelete, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// ListVectorStores Lists the currently available vector store.
+func (c *Client) ListVectorStores(
+	ctx context.Context,
+	pagination Pagination,
+) (response VectorStoresList, err error) {
+	urlValues := url.Values{}
+
+	if pagination.After != nil {
+		urlValues.Add("after", *pagination.After)
+	}
+	if pagination.Order != nil {
+		urlValues.Add("order", *pagination.Order)
+	}
+	if pagination.Limit != nil {
+		urlValues.Add("limit", fmt.Sprintf("%d", *pagination.Limit))
+	}
+	if pagination.Before != nil {
+		urlValues.Add("before", *pagination.Before)
+	}
+
+	encodedValues := ""
+	if len(urlValues) > 0 {
+		encodedValues = "?" + urlValues.Encode()
+	}
+
+	urlSuffix := fmt.Sprintf("%s%s", vectorStoresSuffix, encodedValues)
+	req, _ := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// CreateVectorStoreFile creates a new vector store file.
+func (c *Client) CreateVectorStoreFile(
+	ctx context.Context,
+	vectorStoreID string,
+	request VectorStoreFileRequest,
+) (response VectorStoreFile, err error) {
+	urlSuffix := fmt.Sprintf("%s/%s%s", vectorStoresSuffix, vectorStoreID, vectorStoresFilesSuffix)
+	req, _ := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix),
+		withBody(request),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// RetrieveVectorStoreFile retrieves a vector store file.
+func (c *Client) RetrieveVectorStoreFile(
+	ctx context.Context,
+	vectorStoreID string,
+	fileID string,
+) (response VectorStoreFile, err error) {
+	urlSuffix := fmt.Sprintf("%s/%s%s/%s", vectorStoresSuffix, vectorStoreID, vectorStoresFilesSuffix, fileID)
+	req, _ := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// DeleteVectorStoreFile deletes an existing file.
+func (c *Client) DeleteVectorStoreFile(
+	ctx context.Context,
+	vectorStoreID string,
+	fileID string,
+) (err error) {
+	urlSuffix := fmt.Sprintf("%s/%s%s/%s", vectorStoresSuffix, vectorStoreID, vectorStoresFilesSuffix, fileID)
+	req, _ := c.newRequest(ctx, http.MethodDelete, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+
+	err = c.sendRequest(req, nil)
+	return
+}
+
+// ListVectorStoreFiles Lists the currently available files for a vector store.
+func (c *Client) ListVectorStoreFiles(
+	ctx context.Context,
+	vectorStoreID string,
+	pagination Pagination,
+) (response VectorStoreFilesList, err error) {
+	urlValues := url.Values{}
+	if pagination.After != nil {
+		urlValues.Add("after", *pagination.After)
+	}
+	if pagination.Limit != nil {
+		urlValues.Add("limit", fmt.Sprintf("%d", *pagination.Limit))
+	}
+	if pagination.Before != nil {
+		urlValues.Add("before", *pagination.Before)
+	}
+	if pagination.Order != nil {
+		urlValues.Add("order", *pagination.Order)
+	}
+
+	encodedValues := ""
+	if len(urlValues) > 0 {
+		encodedValues = "?" + urlValues.Encode()
+	}
+
+	urlSuffix := fmt.Sprintf("%s/%s%s%s", vectorStoresSuffix, vectorStoreID, vectorStoresFilesSuffix, encodedValues)
+	req, _ := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// CreateVectorStoreFileBatch creates a new vector store file batch.
+func (c *Client) CreateVectorStoreFileBatch(
+	ctx context.Context,
+	vectorStoreID string,
+	request VectorStoreFileBatchRequest,
+) (response VectorStoreFileBatch, err error) {
+	urlSuffix := fmt.Sprintf("%s/%s%s", vectorStoresSuffix, vectorStoreID, vectorStoresFileBatchesSuffix)
+	req, _ := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix),
+		withBody(request),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// RetrieveVectorStoreFileBatch retrieves a vector store file batch.
+func (c *Client) RetrieveVectorStoreFileBatch(
+	ctx context.Context,
+	vectorStoreID string,
+	batchID string,
+) (response VectorStoreFileBatch, err error) {
+	urlSuffix := fmt.Sprintf("%s/%s%s/%s", vectorStoresSuffix, vectorStoreID, vectorStoresFileBatchesSuffix, batchID)
+	req, _ := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// CancelVectorStoreFileBatch cancel a new vector store file batch.
+func (c *Client) CancelVectorStoreFileBatch(
+	ctx context.Context,
+	vectorStoreID string,
+	batchID string,
+) (response VectorStoreFileBatch, err error) {
+	urlSuffix := fmt.Sprintf("%s/%s%s/%s%s", vectorStoresSuffix,
+		vectorStoreID, vectorStoresFileBatchesSuffix, batchID, "/cancel")
+	req, _ := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+
+	err = c.sendRequest(req, &response)
+	return
+}
+
+// ListVectorStoreFiles Lists the currently available files for a vector store.
+func (c *Client) ListVectorStoreFilesInBatch(
+	ctx context.Context,
+	vectorStoreID string,
+	batchID string,
+	pagination Pagination,
+) (response VectorStoreFilesList, err error) {
+	urlValues := url.Values{}
+	if pagination.After != nil {
+		urlValues.Add("after", *pagination.After)
+	}
+	if pagination.Limit != nil {
+		urlValues.Add("limit", fmt.Sprintf("%d", *pagination.Limit))
+	}
+	if pagination.Before != nil {
+		urlValues.Add("before", *pagination.Before)
+	}
+	if pagination.Order != nil {
+		urlValues.Add("order", *pagination.Order)
+	}
+
+	encodedValues := ""
+	if len(urlValues) > 0 {
+		encodedValues = "?" + urlValues.Encode()
+	}
+
+	urlSuffix := fmt.Sprintf("%s/%s%s/%s%s%s", vectorStoresSuffix,
+		vectorStoreID, vectorStoresFileBatchesSuffix, batchID, "/files", encodedValues)
+	req, _ := c.newRequest(ctx, http.MethodGet, c.fullURL(urlSuffix),
+		withBetaAssistantVersion(c.config.AssistantVersion))
+
+	err = c.sendRequest(req, &response)
+	return
+}