├── .github ├── FUNDING.yml └── workflows │ └── docker.yaml ├── .gitignore ├── .vscode └── settings.json ├── Dockerfile ├── LICENSE ├── README.md ├── README_CN.md ├── README_JA.md ├── claude_to_chatgpt ├── __init__.py ├── adapter.py ├── app.py ├── logger.py ├── models.py └── util.py ├── cloudflare-worker.js ├── docker-compose.yaml ├── poetry.lock ├── pyproject.toml ├── tests └── __init__.py └── wrangler.toml /.github/FUNDING.yml: -------------------------------------------------------------------------------- 1 | # These are supported funding model platforms 2 | 3 | github: [jtsang4]# Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2] 4 | patreon: # Replace with a single Patreon username 5 | open_collective: # Replace with a single Open Collective username 6 | ko_fi: # Replace with a single Ko-fi username 7 | tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel 8 | community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry 9 | liberapay: # Replace with a single Liberapay username 10 | issuehunt: # Replace with a single IssueHunt username 11 | lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry 12 | polar: # Replace with a single Polar username 13 | buy_me_a_coffee: # Replace with a single Buy Me a Coffee username 14 | thanks_dev: # Replace with a single thanks.dev username 15 | custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2'] 16 | -------------------------------------------------------------------------------- /.github/workflows/docker.yaml: -------------------------------------------------------------------------------- 1 | name: Publish Docker image 2 | 3 | on: 4 | workflow_dispatch: 5 | release: 6 | types: [published] 7 | 8 | jobs: 9 | push_to_registry: 10 | name: Push Docker image to Docker Hub 11 | runs-on: ubuntu-latest 12 | steps: 13 | - 14 | name: Check out the repo 15 | uses: actions/checkout@v3 16 | - 17 | name: Log in to Docker Hub 18 | uses: docker/login-action@v2 19 | with: 20 | username: ${{ secrets.DOCKER_USERNAME }} 21 | password: ${{ secrets.DOCKER_PASSWORD }} 22 | 23 | - 24 | name: Extract metadata (tags, labels) for Docker 25 | id: meta 26 | uses: docker/metadata-action@v4 27 | with: 28 | images: wtzeng/claude-to-chatgpt 29 | tags: | 30 | type=raw,value=latest 31 | type=ref,event=tag 32 | 33 | - 34 | name: Set up QEMU 35 | uses: docker/setup-qemu-action@v2 36 | 37 | - 38 | name: Set up Docker Buildx 39 | uses: docker/setup-buildx-action@v2 40 | 41 | - 42 | name: Build and push Docker image 43 | uses: docker/build-push-action@v4 44 | with: 45 | context: . 46 | platforms: linux/amd64,linux/arm64 47 | push: true 48 | tags: ${{ steps.meta.outputs.tags }} 49 | labels: ${{ steps.meta.outputs.labels }} 50 | cache-from: type=gha 51 | cache-to: type=gha,mode=max 52 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | .venv 2 | __pycache__ 3 | node_modules 4 | .wrangler -------------------------------------------------------------------------------- /.vscode/settings.json: -------------------------------------------------------------------------------- 1 | { 2 | "[python]": { 3 | "editor.defaultFormatter": "charliermarsh.ruff" 4 | }, 5 | "editor.formatOnSave": true, 6 | "python.analysis.autoImportCompletions": true, 7 | "python.analysis.typeCheckingMode": "basic" 8 | } 9 | -------------------------------------------------------------------------------- /Dockerfile: -------------------------------------------------------------------------------- 1 | FROM python:3.9-slim-buster 2 | 3 | WORKDIR /app 4 | 5 | # Set the environment variables 6 | ENV CLAUDE_BASE_URL="https://api.anthropic.com" 7 | ENV LOG_LEVEL="info" 8 | 9 | # Copy the rest of the application code to the container 10 | COPY . . 11 | 12 | # Install Poetry 13 | RUN pip install poetry 14 | 15 | RUN poetry install --only main 16 | 17 | # Expose the port the app runs on 18 | EXPOSE 8000 19 | 20 | # Set the command to run the application 21 | CMD ["poetry", "run", "python", "claude_to_chatgpt/app.py"] 22 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2023-PRESENT James Tsang 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 |

2 | English | 简体中文 | 日本語 3 |

4 | 5 |
6 |

Claude to ChatGPT

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8 | 9 | release 10 | 11 | 12 | GitHub Repo stars 13 | 14 | 15 | GitHub Repo Badge 16 | 17 | 18 | GitHub Repo Language 19 | 20 |

21 |
22 | 23 | This project converts the API of Anthropic's Claude model to the OpenAI Chat API format. 24 | 25 | * ✨ Call Claude API like OpenAI ChatGPT API 26 | * 💦 Support streaming response 27 | * 🐻 Support `claude-instant-1`, `claude-2` models 28 | * 🌩️ Deploy by Cloudflare Workers or Docker 29 | 30 | ## Getting Started 31 | 32 | You can run this project using Cloudflare Workers or Docker: 33 | 34 | ### Deployment 35 | 36 | #### Using Cloudflare Workers 37 | 38 | By using Cloudflare Workers, you don't need a server to deploy this project. 39 | 40 | 1. Create a Cloudflare Worker 41 | 2. Paste the code in [`cloudflare-worker.js`](https://github.com/jtsang4/claude-to-chatgpt/blob/main/cloudflare-worker.js) to Cloudflare Worker "Quick Edit" Editor 42 | 3. Save and deploy 43 | 4. (Optional) Set custom domain for your Cloudflare Worker 44 | 45 | The Cloudfalre Workers support 100k requests a day, If you need to call more than that, you can use Docker to deploy as below. 46 | 47 | #### Using Docker 48 | 49 | ```bash 50 | docker run -p 8000:8000 wtzeng/claude-to-chatgpt:latest 51 | ``` 52 | 53 | #### Using Docker Compose 54 | 55 | ```bash 56 | docker-compose up 57 | ``` 58 | 59 | 60 | The API will then be available at http://localhost:8000. API endpoint: `/v1/chat/completions` 61 | 62 | ### Usage 63 | 64 | When you input the model parameter as `gpt-3.5-turbo` or `gpt-3.5-turbo-0613`, it will be substituted with `claude-instant-1`. otherwise, `claude-2` will be utilized. 65 | 66 | 67 | #### GUI 68 | 69 | Here are some recommended GUI software that supports this project: 70 | 71 | * [Bin-Huang/chatbox](https://github.com/Bin-Huang/chatbox) 72 | * [Yidadaa/ChatGPT-Next-Web](https://github.com/Yidadaa/ChatGPT-Next-Web) 73 | 74 | #### CLI 75 | 76 | ```bash 77 | curl http://localhost:8000/v1/chat/completions \ 78 | -H "Content-Type: application/json" \ 79 | -H "Authorization: Bearer $CLAUDE_API_KEY" \ 80 | -d '{ 81 | "model": "gpt-3.5-turbo", 82 | "messages": [{"role": "user", "content": "Hello!"}] 83 | }' 84 | ``` 85 | 86 | ## Conversion Details 87 | 88 | The Claude Completion API has an endpoint `/v1/complete` which takes the following JSON request: 89 | 90 | ```json 91 | { 92 | "prompt": "\n\nHuman: Hello, AI.\n\nAssistant: ", 93 | "model": "claude-instant-1", 94 | "max_tokens_to_sample": 100, 95 | "temperature": 1, 96 | "stream": true 97 | } 98 | ``` 99 | 100 | 101 | And returns JSON with choices and completions. 102 | 103 | The OpenAI Chat API has a similar `/v1/chat/completions` endpoint which takes: 104 | 105 | ```json 106 | { 107 | "model": "gpt-3.5-turbo", 108 | "messages": [ 109 | { 110 | "role": "user", 111 | "content": "Hello, AI." 112 | } 113 | ], 114 | "max_tokens": 100, 115 | "temperature": 1, 116 | "stream": true 117 | } 118 | ``` 119 | 120 | 121 | And returns JSON with a response string. 122 | 123 | This project converts between these two APIs, get completions from the Claude model and formatting them as OpenAI Chat responses. 124 | 125 | ## License 126 | 127 | This project is licensed under the MIT License - see the LICENSE file for details. -------------------------------------------------------------------------------- /README_CN.md: -------------------------------------------------------------------------------- 1 |

2 | 简体中文 | English | 日本語 3 |

4 | 5 |
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Claude to ChatGPT

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8 | 9 | release 10 | 11 | 12 | GitHub Repo stars 13 | 14 | 15 | GitHub Repo Badge 16 | 17 | 18 | GitHub Repo Language 19 | 20 |

21 |
22 | 23 | 此项目将 Anthropic 的 Claude 模型的 API 转换为 OpenAI Chat API 格式。 24 | 25 | * ✨ 以 OpenAI ChatGPT API 的方式调用 Claude API 26 | * 💦 支持流式响应，实现打印机效果 27 | * 🐻 支持 `claude-instant-1`，`claude-2` 模型 28 | * 🌩️ 通过 Cloudflare Workers 或 Docker 部署 29 | 30 | ## 开始使用 31 | 32 | 您可以使用 Cloudflare Workers 或 Docker 进行部署： 33 | 34 | ### 部署 35 | 36 | #### 使用 Cloudflare Workers 37 | 38 | 通过使用 Cloudflare Workers，您无需服务器即可部署此项目。 39 | 40 | 1. 创建一个 Cloudflare Worker 41 | 2. 将 [`cloudflare-worker.js`](https://github.com/jtsang4/claude-to-chatgpt/blob/main/cloudflare-worker.js) 中的代码粘贴到 Cloudflare Worker 的“快速编辑”编辑器中 42 | 3. 保存并部署 43 | 4. （可选）为 Cloudflare Worker 设置自定义域名 44 | 45 | Cloudfalre Workers 支持每天 100k 请求，如果需要发起更多调用，请参照下面的方式使用 Docker 进行部署。 46 | 47 | #### 使用 Docker 48 | 49 | ```bash 50 | docker run -p 8000:8000 wtzeng/claude-to-chatgpt:latest 51 | ``` 52 | 53 | #### 使用 Docker Compose 54 | 55 | ```bash 56 | docker-compose up 57 | ``` 58 | 59 | 然后，API 将在 `http://localhost:8000` 上可用。API 路径：`/v1/chat/completions`。 60 | 61 | ### 使用方法 62 | 63 | 当您将模型参数 `model` 为 `gpt-3.5-turbo` 或 `gpt-3.5-turbo-0613` 时，它将替换为 `claude-instant-1`。否则，将使用 `claude-2`。 64 | 65 | 66 | #### 图形界面软件 67 | 68 | 以下是一些支持使用本项目的推荐 GUI 软件： 69 | 70 | * [Bin-Huang/chatbox](https://github.com/Bin-Huang/chatbox) 71 | * [Yidadaa/ChatGPT-Next-Web](https://github.com/Yidadaa/ChatGPT-Next-Web) 72 | 73 | #### 命令行调用 74 | 75 | ```bash 76 | curl http://localhost:8000/v1/chat/completions \ 77 | -H "Content-Type: application/json" \ 78 | -H "Authorization: Bearer $CLAUDE_API_KEY" \ 79 | -d '{ 80 | "model": "gpt-3.5-turbo", 81 | "messages": [{"role": "user", "content": "Hello!"}] 82 | }' 83 | ``` 84 | 85 | ## 转换细节 86 | 87 | Claude Completion API endpoint 为 `/v1/complete`，它接受以下请求格式并返回 Completion 接口的内容。： 88 | 89 | ```json 90 | { 91 | "prompt": "\n\nHuman: Hello, AI.\n\nAssistant: ", 92 | "model": "claude-instant-1", 93 | "max_tokens_to_sample": 100, 94 | "temperature": 1, 95 | "stream": true 96 | } 97 | ``` 98 | 99 | OpenAI Chat API 有一个相似的 `/v1/chat/completions` API，它接受以下请求格式： 100 | 101 | ```json 102 | { 103 | "model": "gpt-3.5-turbo", 104 | "messages": [ 105 | { 106 | "role": "user", 107 | "content": "Hello, AI." 108 | } 109 | ], 110 | "max_tokens": 100, 111 | "temperature": 1, 112 | "stream": true 113 | } 114 | ``` 115 | 116 | 此项目在这两个 API 之间进行转换，从 Claude 模型获取返回结果并将它们格式化为 OpenAI ChatAPI 的响应。 117 | 118 | ## 许可证 119 | 120 | 此项目为 MIT 许可证授权，有关详细信息，请参阅 LICENSE 文件。 121 | -------------------------------------------------------------------------------- /README_JA.md: -------------------------------------------------------------------------------- 1 |

2 | English | 简体中文 | 日本語 3 |

4 | 5 |
6 |

Claude to ChatGPT

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8 | 9 | release 10 | 11 | 12 | GitHub Repo stars 13 | 14 | 15 | GitHub Repo Badge 16 | 17 | 18 | GitHub Repo Language 19 | 20 |

21 |
22 | 23 | 本プロジェクトでは、Anthropic の Claude モデルの API を OpenAI Chat API 形式に変換しています。 24 | 25 | - ✨ OpenAI ChatGPT API のように Claude API を呼び出す 26 | - 💦 ストリーミングレス対応 27 | - 🐻 `claude-instant-1`, `claude-2` のモデルをサポートする 28 | - 🌩️ Cloudflare Workers や Docker でデプロイする 29 | 30 | ## はじめに 31 | 32 | このプロジェクトは、Cloudflare Workers または Docker を使用して実行することができます: 33 | 34 | ### デプロイ 35 | 36 | #### Cloudflare Workers の利用について 37 | 38 | Cloudflare Workers を利用することで、このプロジェクトを展開するためのサーバーが不要になります。 39 | 40 | 1. Cloudflare Worker を作成する 41 | 2. [`Cloudflare-worker.js`](https://github.com/jtsang4/claude-to-chatgpt/blob/main/cloudflare-worker.js)のコードを Cloudflare Worker の "Quick Edit" エディタに貼り付けます。 42 | 3. 保存してデプロイする 43 | 4. オプションとして、Cloudflare Worker にカスタムドメインを設定します 44 | 45 | Cloudfalre Workers は 1 日 10 万件のリクエストをサポートしていますが、それ以上呼ぶ必要がある場合は、以下のように Docker を使ってデプロイします。 46 | 47 | #### Docker の使用 48 | 49 | ```bash 50 | docker run -p 8000:8000 wtzeng/claude-to-chatgpt:latest 51 | ``` 52 | 53 | #### Docker Compose の使用 54 | 55 | ```bash 56 | docker-compose up 57 | ``` 58 | 59 | その後、http://localhost:8000、API が利用できるようになります。API エンドポイント: `/v1/chat/completions` 60 | 61 | ### 使用方法 62 | 63 | モデルパラメータを `gpt-3.5-turbo` または `gpt-3.5-turbo-0613` と入力すると `claude-instant-1` に置換されます。 64 | 65 | #### GUI 66 | 67 | このプロジェクトをサポートする、おすすめの GUI ソフトをご紹介します: 68 | 69 | - [Bin-Huang/chatbox](https://github.com/Bin-Huang/chatbox) 70 | - [Yidadaa/ChatGPT-Next-Web](https://github.com/Yidadaa/ChatGPT-Next-Web) 71 | 72 | #### CLI 73 | 74 | ```bash 75 | curl http://localhost:8000/v1/chat/completions \ 76 | -H "Content-Type: application/json" \ 77 | -H "Authorization: Bearer $CLAUDE_API_KEY" \ 78 | -d '{ 79 | "model": "gpt-3.5-turbo", 80 | "messages": [{"role": "user", "content": "Hello!"}] 81 | }' 82 | ``` 83 | 84 | ## コンバージョンの詳細 85 | 86 | Claude Completion API にはエンドポイント `/v1/complete` があり、以下の JSON リクエストを受け取ります: 87 | 88 | ```json 89 | { 90 | "prompt": "\n\nHuman: Hello, AI.\n\nAssistant: ", 91 | "model": "claude-instant-1", 92 | "max_tokens_to_sample": 100, 93 | "temperature": 1, 94 | "stream": true 95 | } 96 | ``` 97 | 98 | そして、選択肢と完了を含む JSON を返します。 99 | 100 | OpenAI Chat API には同様の `/v1/chat/completions` エンドポイントがあり、これは次のように受け取ります: 101 | 102 | ```json 103 | { 104 | "model": "gpt-3.5-turbo", 105 | "messages": [ 106 | { 107 | "role": "user", 108 | "content": "Hello, AI." 109 | } 110 | ], 111 | "max_tokens": 100, 112 | "temperature": 1, 113 | "stream": true 114 | } 115 | ``` 116 | 117 | そして、応答文字列を持つ JSON を返します。 118 | 119 | このプロジェクトはこれら 2 つの API 間を変換し、Claude モデルから完了を取得し、OpenAI Chat のレスポンスとしてフォーマットします。 120 | 121 | ## ライセンス 122 | 123 | このプロジェクトは MIT ライセンスでライセンスされています - 詳しくは、LICENSE ファイルをご覧ください。 124 | -------------------------------------------------------------------------------- /claude_to_chatgpt/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jtsang4/claude-to-chatgpt/e7dcee758b509b2beb44034357862cdf1f6446c6/claude_to_chatgpt/__init__.py -------------------------------------------------------------------------------- /claude_to_chatgpt/adapter.py: -------------------------------------------------------------------------------- 1 | import httpx 2 | import time 3 | import json 4 | import os 5 | from fastapi import Request 6 | from claude_to_chatgpt.util import num_tokens_from_string 7 | from claude_to_chatgpt.logger import logger 8 | from claude_to_chatgpt.models import model_map 9 | 10 | role_map = { 11 | "system": "Human", 12 | "user": "Human", 13 | "assistant": "Assistant", 14 | } 15 | 16 | stop_reason_map = { 17 | "stop_sequence": "stop", 18 | "max_tokens": "length", 19 | } 20 | 21 | 22 | class ClaudeAdapter: 23 | def __init__(self, claude_base_url="https://api.anthropic.com"): 24 | self.claude_api_key = os.getenv("CLAUDE_API_KEY", None) 25 | self.claude_base_url = claude_base_url 26 | 27 | def get_api_key(self, headers): 28 | auth_header = headers.get("authorization", None) 29 | if auth_header: 30 | return auth_header.split(" ")[1] 31 | else: 32 | return self.claude_api_key 33 | 34 | def convert_messages_to_prompt(self, messages): 35 | prompt = "" 36 | for message in messages: 37 | role = message["role"] 38 | content = message["content"] 39 | transformed_role = role_map[role] 40 | prompt += f"\n\n{transformed_role.capitalize()}: {content}" 41 | prompt += "\n\nAssistant: " 42 | return prompt 43 | 44 | def openai_to_claude_params(self, openai_params): 45 | model = model_map.get(openai_params["model"], "claude-2") 46 | messages = openai_params["messages"] 47 | 48 | prompt = self.convert_messages_to_prompt(messages) 49 | 50 | claude_params = { 51 | "model": model, 52 | "prompt": prompt, 53 | "max_tokens_to_sample": 100000, 54 | } 55 | 56 | if openai_params.get("max_tokens"): 57 | claude_params["max_tokens_to_sample"] = openai_params["max_tokens"] 58 | 59 | if openai_params.get("stop"): 60 | claude_params["stop_sequences"] = openai_params.get("stop") 61 | 62 | if openai_params.get("temperature"): 63 | claude_params["temperature"] = openai_params.get("temperature") 64 | 65 | if openai_params.get("stream"): 66 | claude_params["stream"] = True 67 | 68 | return claude_params 69 | 70 | def claude_to_chatgpt_response_stream(self, claude_response): 71 | completion = claude_response.get("completion", "") 72 | completion_tokens = num_tokens_from_string(completion) 73 | openai_response = { 74 | "id": f"chatcmpl-{str(time.time())}", 75 | "object": "chat.completion.chunk", 76 | "created": int(time.time()), 77 | "model": "gpt-3.5-turbo-0613", 78 | "usage": { 79 | "prompt_tokens": 0, 80 | "completion_tokens": completion_tokens, 81 | "total_tokens": completion_tokens, 82 | }, 83 | "choices": [ 84 | { 85 | "delta": { 86 | "role": "assistant", 87 | "content": completion, 88 | }, 89 | "index": 0, 90 | "finish_reason": stop_reason_map[claude_response.get("stop_reason")] 91 | if claude_response.get("stop_reason") 92 | else None, 93 | } 94 | ], 95 | } 96 | 97 | return openai_response 98 | 99 | def claude_to_chatgpt_response(self, claude_response): 100 | completion_tokens = num_tokens_from_string( 101 | claude_response.get("completion", "") 102 | ) 103 | openai_response = { 104 | "id": f"chatcmpl-{str(time.time())}", 105 | "object": "chat.completion", 106 | "created": int(time.time()), 107 | "model": "gpt-3.5-turbo-0613", 108 | "usage": { 109 | "prompt_tokens": 0, 110 | "completion_tokens": completion_tokens, 111 | "total_tokens": completion_tokens, 112 | }, 113 | "choices": [ 114 | { 115 | "message": { 116 | "role": "assistant", 117 | "content": claude_response.get("completion", ""), 118 | }, 119 | "index": 0, 120 | "finish_reason": stop_reason_map[claude_response.get("stop_reason")] 121 | if claude_response.get("stop_reason") 122 | else None, 123 | } 124 | ], 125 | } 126 | 127 | return openai_response 128 | 129 | async def chat(self, request: Request): 130 | openai_params = await request.json() 131 | headers = request.headers 132 | claude_params = self.openai_to_claude_params(openai_params) 133 | api_key = self.get_api_key(headers) 134 | 135 | async with httpx.AsyncClient(timeout=120.0) as client: 136 | if not claude_params.get("stream", False): 137 | response = await client.post( 138 | f"{self.claude_base_url}/v1/complete", 139 | headers={ 140 | "x-api-key": api_key, 141 | "accept": "application/json", 142 | "content-type": "application/json", 143 | "anthropic-version": "2023-06-01", 144 | }, 145 | json=claude_params, 146 | ) 147 | if response.is_error: 148 | raise Exception(f"Error: {response.status_code}") 149 | claude_response = response.json() 150 | openai_response = self.claude_to_chatgpt_response(claude_response) 151 | yield openai_response 152 | else: 153 | async with client.stream( 154 | "POST", 155 | f"{self.claude_base_url}/v1/complete", 156 | headers={ 157 | "x-api-key": api_key, 158 | "accept": "application/json", 159 | "content-type": "application/json", 160 | "anthropic-version": "2023-06-01", 161 | }, 162 | json=claude_params, 163 | ) as response: 164 | if response.is_error: 165 | raise Exception(f"Error: {response.status_code}") 166 | async for line in response.aiter_lines(): 167 | if line: 168 | stripped_line = line.lstrip("data:") 169 | if stripped_line: 170 | try: 171 | decoded_line = json.loads(stripped_line) 172 | stop_reason = decoded_line.get("stop_reason") 173 | if stop_reason: 174 | yield self.claude_to_chatgpt_response_stream( 175 | { 176 | "completion": "", 177 | "stop_reason": stop_reason, 178 | } 179 | ) 180 | yield "[DONE]" 181 | else: 182 | completion = decoded_line.get("completion") 183 | if completion: 184 | openai_response = ( 185 | self.claude_to_chatgpt_response_stream( 186 | decoded_line 187 | ) 188 | ) 189 | yield openai_response 190 | except json.JSONDecodeError as e: 191 | logger.debug( 192 | f"Error decoding JSON: {e}" 193 | ) # Debug output 194 | logger.debug( 195 | f"Failed to decode line: {stripped_line}" 196 | ) # Debug output 197 | -------------------------------------------------------------------------------- /claude_to_chatgpt/app.py: -------------------------------------------------------------------------------- 1 | from fastapi import FastAPI, Request 2 | from fastapi.responses import JSONResponse, StreamingResponse 3 | from fastapi.middleware.cors import CORSMiddleware 4 | from claude_to_chatgpt.adapter import ClaudeAdapter 5 | import json 6 | import os 7 | from claude_to_chatgpt.logger import logger 8 | from claude_to_chatgpt.models import models_list 9 | 10 | CLAUDE_BASE_URL = os.getenv("CLAUDE_BASE_URL", "https://api.anthropic.com") 11 | LOG_LEVEL = os.getenv("LOG_LEVEL", "info") 12 | PORT = os.getenv("PORT", 8000) 13 | 14 | logger.debug(f"claude_base_url: {CLAUDE_BASE_URL}") 15 | 16 | adapter = ClaudeAdapter(CLAUDE_BASE_URL) 17 | 18 | app = FastAPI() 19 | 20 | # Add CORS middleware 21 | app.add_middleware( 22 | CORSMiddleware, 23 | allow_origins=["*"], # Allow all origins 24 | allow_credentials=True, 25 | allow_methods=["*"], # Allow all methods, including OPTIONS 26 | allow_headers=["*"], 27 | ) 28 | 29 | 30 | @app.api_route( 31 | "/v1/chat/completions", 32 | methods=["POST", "OPTIONS"], 33 | ) 34 | async def chat(request: Request): 35 | openai_params = await request.json() 36 | if openai_params.get("stream", False): 37 | 38 | async def generate(): 39 | async for response in adapter.chat(request): 40 | if response == "[DONE]": 41 | yield "data: [DONE]" 42 | break 43 | yield f"data: {json.dumps(response)}\n\n" 44 | 45 | return StreamingResponse(generate(), media_type="text/event-stream") 46 | else: 47 | openai_response = None 48 | response = adapter.chat(request) 49 | openai_response = await response.__anext__() 50 | return JSONResponse(content=openai_response) 51 | 52 | 53 | @app.route("/v1/models", methods=["GET"]) 54 | async def models(request: Request): 55 | # return a dict with key "object" and "data", "object" value is "list", "data" values is models list 56 | return JSONResponse(content={"object": "list", "data": models_list}) 57 | 58 | 59 | if __name__ == "__main__": 60 | import uvicorn 61 | 62 | uvicorn.run("app:app", host="0.0.0.0", port=PORT, log_level=LOG_LEVEL) 63 | -------------------------------------------------------------------------------- /claude_to_chatgpt/logger.py: -------------------------------------------------------------------------------- 1 | import logging 2 | 3 | logger = logging.getLogger("debug") 4 | -------------------------------------------------------------------------------- /claude_to_chatgpt/models.py: -------------------------------------------------------------------------------- 1 | models_list = [ 2 | { 3 | "id": "gpt-3.5-turbo", 4 | "object": "model", 5 | "created": 1677610602, 6 | "owned_by": "openai", 7 | "permission": [ 8 | { 9 | "id": "modelperm-YO9wdQnaovI4GD1HLV59M0AV", 10 | "object": "model_permission", 11 | "created": 1683753011, 12 | "allow_create_engine": False, 13 | "allow_sampling": True, 14 | "allow_logprobs": True, 15 | "allow_search_indices": False, 16 | "allow_view": True, 17 | "allow_fine_tuning": False, 18 | "organization": "*", 19 | "group": None, 20 | "is_blocking": False, 21 | } 22 | ], 23 | "root": "gpt-3.5-turbo", 24 | "parent": None, 25 | }, 26 | { 27 | "id": "gpt-3.5-turbo-0613", 28 | "object": "model", 29 | "created": 1677649963, 30 | "owned_by": "openai", 31 | "permission": [ 32 | { 33 | "id": "modelperm-tsdKKNwiNtHfnKWWTkKChjoo", 34 | "object": "model_permission", 35 | "created": 1683753015, 36 | "allow_create_engine": False, 37 | "allow_sampling": True, 38 | "allow_logprobs": True, 39 | "allow_search_indices": False, 40 | "allow_view": True, 41 | "allow_fine_tuning": False, 42 | "organization": "*", 43 | "group": None, 44 | "is_blocking": False, 45 | } 46 | ], 47 | "root": "gpt-3.5-turbo-0613", 48 | "parent": None, 49 | }, 50 | { 51 | "id": "gpt-4", 52 | "object": "model", 53 | "created": 1678604602, 54 | "owned_by": "openai", 55 | "permission": [ 56 | { 57 | "id": "modelperm-nqKDpzYoZMlqbIltZojY48n9", 58 | "object": "model_permission", 59 | "created": 1683768705, 60 | "allow_create_engine": False, 61 | "allow_sampling": False, 62 | "allow_logprobs": False, 63 | "allow_search_indices": False, 64 | "allow_view": False, 65 | "allow_fine_tuning": False, 66 | "organization": "*", 67 | "group": None, 68 | "is_blocking": False, 69 | } 70 | ], 71 | "root": "gpt-4", 72 | "parent": None, 73 | }, 74 | { 75 | "id": "gpt-4-0613", 76 | "object": "model", 77 | "created": 1678604601, 78 | "owned_by": "openai", 79 | "permission": [ 80 | { 81 | "id": "modelperm-PGbNkIIZZLRipow1uFL0LCvV", 82 | "object": "model_permission", 83 | "created": 1683768678, 84 | "allow_create_engine": False, 85 | "allow_sampling": False, 86 | "allow_logprobs": False, 87 | "allow_search_indices": False, 88 | "allow_view": False, 89 | "allow_fine_tuning": False, 90 | "organization": "*", 91 | "group": None, 92 | "is_blocking": False, 93 | } 94 | ], 95 | "root": "gpt-4-0613", 96 | "parent": None, 97 | }, 98 | ] 99 | 100 | model_map = { 101 | "gpt-3.5-turbo": "claude-instant-1", 102 | "gpt-3.5-turbo-0613": "claude-instant-1", 103 | "gpt-4": "claude-2", 104 | "gpt-4-0613": "claude-2", 105 | } 106 | -------------------------------------------------------------------------------- /claude_to_chatgpt/util.py: -------------------------------------------------------------------------------- 1 | import tiktoken 2 | 3 | 4 | def num_tokens_from_string(string: str, encoding_name: str = "cl100k_base") -> int: 5 | """Returns the number of tokens in a text string.""" 6 | encoding = tiktoken.get_encoding(encoding_name) 7 | num_tokens = len(encoding.encode(string)) 8 | return num_tokens 9 | -------------------------------------------------------------------------------- /cloudflare-worker.js: -------------------------------------------------------------------------------- 1 | const version = '0.6.0'; 2 | 3 | addEventListener('fetch', (event) => { 4 | event.respondWith(handleRequest(event.request)); 5 | }); 6 | 7 | const CLAUDE_API_KEY = ''; // Optional: default claude api key if you don't want to pass it in the request header 8 | const CLAUDE_BASE_URL = 'https://api.anthropic.com/v1/messages'; // Changed to messages endpoint 9 | const MAX_TOKENS = 4096; 10 | 11 | function getAPIKey(headers) { 12 | const authorization = headers.authorization; 13 | if (authorization) { 14 | return authorization.split(' ')[1] || CLAUDE_API_KEY; 15 | } 16 | return CLAUDE_API_KEY; 17 | } 18 | 19 | function formatStreamResponseJson(claudeResponse) { 20 | switch (claudeResponse.type) { 21 | case 'message_start': 22 | return { 23 | id: claudeResponse.message.id, 24 | model: claudeResponse.message.model, 25 | inputTokens: claudeResponse.message.usage.input_tokens, 26 | }; 27 | case 'content_block_start': 28 | case 'ping': 29 | return null; 30 | case 'content_block_delta': 31 | return { 32 | content: claudeResponse.delta.text, 33 | }; 34 | case 'content_block_stop': 35 | return null; 36 | case 'message_delta': 37 | return { 38 | stopReason: claudeResponse.delta.stop_reason, 39 | outputTokens: claudeResponse.usage.output_tokens, 40 | }; 41 | case 'message_stop': 42 | return null; 43 | default: 44 | return null; 45 | } 46 | } 47 | 48 | function claudeToChatGPTResponse(claudeResponse, metaInfo, stream = false) { 49 | const timestamp = Math.floor(Date.now() / 1000); 50 | const completionTokens = metaInfo.outputTokens || 0; 51 | const promptTokens = metaInfo.inputTokens || 0; 52 | if (metaInfo.stopReason && stream) { 53 | return { 54 | id: metaInfo.id, 55 | object: 'chat.completion.chunk', 56 | created: timestamp, 57 | model: metaInfo.model, 58 | choices: [ 59 | { 60 | index: 0, 61 | delta: {}, 62 | logprobs: null, 63 | finish_reason: 'stop', 64 | }, 65 | ], 66 | usage: { 67 | prompt_tokens: promptTokens, 68 | completion_tokens: completionTokens, 69 | total_tokens: promptTokens + completionTokens, 70 | }, 71 | }; 72 | } 73 | const content = claudeResponse.content; 74 | const result = { 75 | id: metaInfo.id || 'unknown', 76 | created: timestamp, 77 | model: metaInfo.model, 78 | usage: { 79 | prompt_tokens: promptTokens, 80 | completion_tokens: completionTokens, 81 | total_tokens: promptTokens + completionTokens, 82 | }, 83 | choices: [ 84 | { 85 | index: 0, 86 | finish_reason: metaInfo.stopReason === 'end_turn' ? 'stop' : null, 87 | }, 88 | ], 89 | }; 90 | const message = { 91 | role: 'assistant', 92 | content: content || '', 93 | }; 94 | if (!stream) { 95 | result.object = 'chat.completion'; 96 | result.choices[0].message = message; 97 | } else { 98 | result.object = 'chat.completion.chunk'; 99 | result.choices[0].delta = message; 100 | } 101 | return result; 102 | } 103 | 104 | async function streamJsonResponseBodies(response, writable, model) { 105 | const reader = response.body.getReader(); 106 | const writer = writable.getWriter(); 107 | 108 | const encoder = new TextEncoder(); 109 | const decoder = new TextDecoder(); 110 | 111 | let buffer = ''; 112 | const metaInfo = { 113 | model, 114 | }; 115 | while (true) { 116 | const { done, value } = await reader.read(); 117 | if (done) { 118 | writer.write(encoder.encode('data: [DONE]')); 119 | break; 120 | } 121 | const currentText = decoder.decode(value, { stream: true }); // stream: true is important here,fix the bug of incomplete line 122 | buffer += currentText; 123 | console.log('🚀 ~ streamJsonResponseBodies ~ buffer:', buffer); 124 | const regex = /event:\s*.*?\s*\ndata:\s*(.*?)(?=\n\n|\s*$)/gs; 125 | 126 | let match; 127 | while ((match = regex.exec(buffer)) !== null) { 128 | try { 129 | const decodedLine = JSON.parse(match[1].trim()); 130 | const formatedChunk = formatStreamResponseJson(decodedLine); 131 | if (formatedChunk === null) { 132 | continue; 133 | } 134 | metaInfo.id = formatedChunk.id ?? metaInfo.id; 135 | metaInfo.model = formatedChunk.model ?? metaInfo.model; 136 | metaInfo.inputTokens = 137 | formatedChunk.inputTokens ?? metaInfo.inputTokens; 138 | metaInfo.outputTokens = 139 | formatedChunk.outputTokens ?? metaInfo.outputTokens; 140 | metaInfo.stopReason = formatedChunk.stopReason ?? metaInfo.stopReason; 141 | const transformedLine = claudeToChatGPTResponse( 142 | formatedChunk, 143 | metaInfo, 144 | true 145 | ); 146 | writer.write( 147 | encoder.encode(`data: ${JSON.stringify(transformedLine)}\n\n`) 148 | ); 149 | } catch (e) {} 150 | // 从buffer中移除已处理的部分 151 | buffer = buffer.slice(match.index + match[0].length); 152 | } 153 | } 154 | await writer.close(); 155 | } 156 | 157 | async function handleRequest(request) { 158 | if (request.method === 'GET') { 159 | const path = new URL(request.url).pathname; 160 | if (path === '/v1/models') { 161 | return new Response( 162 | JSON.stringify({ 163 | object: 'list', 164 | data: models_list, 165 | }), 166 | { 167 | status: 200, 168 | headers: { 'Content-Type': 'application/json' }, 169 | } 170 | ); 171 | } 172 | return new Response('Not Found', { status: 404 }); 173 | } else if (request.method === 'OPTIONS') { 174 | return handleOPTIONS(); 175 | } else if (request.method === 'POST') { 176 | const headers = Object.fromEntries(request.headers); 177 | const apiKey = getAPIKey(headers); 178 | if (!apiKey) { 179 | return new Response('Not Allowed', { 180 | status: 403, 181 | }); 182 | } 183 | 184 | const requestBody = await request.json(); 185 | const { model, messages, temperature, stop, stream } = requestBody; 186 | const claudeModel = model; 187 | 188 | // Convert OpenAI API request to Claude API request 189 | const systemMessage = messages.find((message) => message.role === 'system'); 190 | const claudeRequestBody = { 191 | model: claudeModel, 192 | messages: messages.filter((message) => message.role !== 'system'), 193 | temperature, 194 | max_tokens: MAX_TOKENS, 195 | stop_sequences: stop, 196 | system: systemMessage?.content, 197 | stream, 198 | }; 199 | 200 | const claudeResponse = await fetch(CLAUDE_BASE_URL, { 201 | method: 'POST', 202 | headers: { 203 | 'Content-Type': 'application/json', 204 | 'x-api-key': apiKey, 205 | 'anthropic-version': '2023-06-01', 206 | }, 207 | body: JSON.stringify(claudeRequestBody), 208 | }); 209 | 210 | if (!stream) { 211 | const claudeResponseBody = await claudeResponse.json(); 212 | const formatedResult = { 213 | id: claudeResponseBody.id, 214 | model: claudeResponseBody.model, 215 | inputTokens: claudeResponseBody.usage.input_tokens, 216 | outputTokens: claudeResponseBody.usage.output_tokens, 217 | stopReason: claudeResponseBody.stop_reason, 218 | }; 219 | const openAIResponseBody = claudeToChatGPTResponse( 220 | { content: claudeResponseBody.content[0].text }, 221 | formatedResult 222 | ); 223 | if (openAIResponseBody === null) { 224 | return new Response('Error processing Claude response', { 225 | status: 500, 226 | }); 227 | } 228 | return new Response(JSON.stringify(openAIResponseBody), { 229 | status: claudeResponse.status, 230 | headers: { 231 | 'Content-Type': 'application/json', 232 | 'Access-Control-Allow-Origin': '*', 233 | 'Access-Control-Allow-Methods': '*', 234 | 'Access-Control-Allow-Headers': '*', 235 | 'Access-Control-Allow-Credentials': 'true', 236 | }, 237 | }); 238 | } else { 239 | // Implement streaming logic here 240 | const { readable, writable } = new TransformStream(); 241 | streamJsonResponseBodies(claudeResponse, writable); 242 | return new Response(readable, { 243 | headers: { 244 | 'Content-Type': 'text/event-stream', 245 | 'Access-Control-Allow-Origin': '*', 246 | 'Access-Control-Allow-Methods': '*', 247 | 'Access-Control-Allow-Headers': '*', 248 | 'Access-Control-Allow-Credentials': 'true', 249 | }, 250 | }); 251 | } 252 | } else { 253 | return new Response('Method not allowed', { status: 405 }); 254 | } 255 | } 256 | 257 | function handleOPTIONS() { 258 | return new Response(null, { 259 | headers: { 260 | 'Access-Control-Allow-Origin': '*', 261 | 'Access-Control-Allow-Methods': '*', 262 | 'Access-Control-Allow-Headers': '*', 263 | 'Access-Control-Allow-Credentials': 'true', 264 | }, 265 | }); 266 | } 267 | 268 | const models_list = [ 269 | { 270 | id: 'gpt-3.5-turbo', 271 | object: 'model', 272 | created: 1677610602, 273 | owned_by: 'openai', 274 | permission: [ 275 | { 276 | id: 'modelperm-YO9wdQnaovI4GD1HLV59M0AV', 277 | object: 'model_permission', 278 | created: 1683753011, 279 | allow_create_engine: false, 280 | allow_sampling: true, 281 | allow_logprobs: true, 282 | allow_search_indices: false, 283 | allow_view: true, 284 | allow_fine_tuning: false, 285 | organization: '*', 286 | group: null, 287 | is_blocking: false, 288 | }, 289 | ], 290 | root: 'gpt-3.5-turbo', 291 | parent: null, 292 | }, 293 | { 294 | id: 'gpt-3.5-turbo-0613', 295 | object: 'model', 296 | created: 1677649963, 297 | owned_by: 'openai', 298 | permission: [ 299 | { 300 | id: 'modelperm-tsdKKNwiNtHfnKWWTkKChjoo', 301 | object: 'model_permission', 302 | created: 1683753015, 303 | allow_create_engine: false, 304 | allow_sampling: true, 305 | allow_logprobs: true, 306 | allow_search_indices: false, 307 | allow_view: true, 308 | allow_fine_tuning: false, 309 | organization: '*', 310 | group: null, 311 | is_blocking: false, 312 | }, 313 | ], 314 | root: 'gpt-3.5-turbo-0613', 315 | parent: null, 316 | }, 317 | { 318 | id: 'gpt-4', 319 | object: 'model', 320 | created: 1678604602, 321 | owned_by: 'openai', 322 | permission: [ 323 | { 324 | id: 'modelperm-nqKDpzYoZMlqbIltZojY48n9', 325 | object: 'model_permission', 326 | created: 1683768705, 327 | allow_create_engine: false, 328 | allow_sampling: false, 329 | allow_logprobs: false, 330 | allow_search_indices: false, 331 | allow_view: false, 332 | allow_fine_tuning: false, 333 | organization: '*', 334 | group: null, 335 | is_blocking: false, 336 | }, 337 | ], 338 | root: 'gpt-4', 339 | parent: null, 340 | }, 341 | { 342 | id: 'gpt-4-0613', 343 | object: 'model', 344 | created: 1678604601, 345 | owned_by: 'openai', 346 | permission: [ 347 | { 348 | id: 'modelperm-PGbNkIIZZLRipow1uFL0LCvV', 349 | object: 'model_permission', 350 | created: 1683768678, 351 | allow_create_engine: false, 352 | allow_sampling: false, 353 | allow_logprobs: false, 354 | allow_search_indices: false, 355 | allow_view: false, 356 | allow_fine_tuning: false, 357 | organization: '*', 358 | group: null, 359 | is_blocking: false, 360 | }, 361 | ], 362 | root: 'gpt-4-0613', 363 | parent: null, 364 | }, 365 | ]; 366 | -------------------------------------------------------------------------------- /docker-compose.yaml: -------------------------------------------------------------------------------- 1 | version: '3.8' 2 | 3 | services: 4 | claude-to-chatgpt: 5 | container_name: claude-to-chatgpt 6 | image: wtzeng/claude-to-chatgpt:latest 7 | restart: unless-stopped 8 | environment: 9 | CLAUDE_BASE_URL: "https://api.anthropic.com" # Claude API base URL 10 | # LOG_LEVEL: "info" # log level 11 | ports: 12 | - "8000:8000" 13 | -------------------------------------------------------------------------------- /poetry.lock: -------------------------------------------------------------------------------- 1 | # This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. 2 | 3 | [[package]] 4 | name = "anyio" 5 | version = "3.6.2" 6 | description = "High level compatibility layer for multiple asynchronous event loop implementations" 7 | category = "main" 8 | optional = false 9 | python-versions = ">=3.6.2" 10 | files = [ 11 | {file = "anyio-3.6.2-py3-none-any.whl", hash = "sha256:fbbe32bd270d2a2ef3ed1c5d45041250284e31fc0a4df4a5a6071842051a51e3"}, 12 | {file = "anyio-3.6.2.tar.gz", hash = "sha256:25ea0d673ae30af41a0c442f81cf3b38c7e79fdc7b60335a4c14e05eb0947421"}, 13 | ] 14 | 15 | [package.dependencies] 16 | idna = ">=2.8" 17 | sniffio = ">=1.1" 18 | 19 | [package.extras] 20 | doc = ["packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] 21 | test = ["contextlib2", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"] 22 | trio = ["trio (>=0.16,<0.22)"] 23 | 24 | [[package]] 25 | name = "certifi" 26 | version = "2023.5.7" 27 | description = "Python package for providing Mozilla's CA Bundle." 28 | category = "main" 29 | optional = false 30 | python-versions = ">=3.6" 31 | files = [ 32 | {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"}, 33 | {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"}, 34 | ] 35 | 36 | [[package]] 37 | name = "charset-normalizer" 38 | version = "3.1.0" 39 | description = "The Real First Universal Charset Detector. 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-------------------------------------------------------------------------------- https://raw.githubusercontent.com/jtsang4/claude-to-chatgpt/e7dcee758b509b2beb44034357862cdf1f6446c6/tests/__init__.py -------------------------------------------------------------------------------- /wrangler.toml: -------------------------------------------------------------------------------- 1 | name = "claude-to-chatgpt" 2 | main = "cloudflare-worker.js" 3 | compatibility_date = "2023-05-13" --------------------------------------------------------------------------------