├── .gitignore ├── LICENSE ├── README.md ├── copilot_proxy ├── __init__.py ├── __main__.py ├── config.py ├── inject_responses.py ├── server.py └── utils.py ├── docs ├── proxy.png └── what-model-are-you.png ├── poetry.lock └── pyproject.toml /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # PyCharm 7 | .idea/ 8 | 9 | # VS Code 10 | .vscode/ 11 | 12 | # C extensions 13 | *.so 14 | 15 | # Distribution / packaging 16 | .Python 17 | build/ 18 | develop-eggs/ 19 | dist/ 20 | downloads/ 21 | eggs/ 22 | .eggs/ 23 | lib/ 24 | lib64/ 25 | parts/ 26 | sdist/ 27 | var/ 28 | wheels/ 29 | share/python-wheels/ 30 | *.egg-info/ 31 | .installed.cfg 32 | *.egg 33 | MANIFEST 34 | 35 | # PyInstaller 36 | # Usually these files are written by a python script from a template 37 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 38 | *.manifest 39 | *.spec 40 | 41 | # Installer logs 42 | pip-log.txt 43 | pip-delete-this-directory.txt 44 | 45 | # Unit test / coverage reports 46 | htmlcov/ 47 | .tox/ 48 | .nox/ 49 | .coverage 50 | .coverage.* 51 | .cache 52 | nosetests.xml 53 | coverage.xml 54 | *.cover 55 | *.py,cover 56 | .hypothesis/ 57 | .pytest_cache/ 58 | cover/ 59 | 60 | # Translations 61 | *.mo 62 | *.pot 63 | 64 | # Django stuff: 65 | *.log 66 | local_settings.py 67 | db.sqlite3 68 | db.sqlite3-journal 69 | 70 | # Flask stuff: 71 | instance/ 72 | .webassets-cache 73 | 74 | # Scrapy stuff: 75 | .scrapy 76 | 77 | # Sphinx documentation 78 | docs/_build/ 79 | docs/_output/ 80 | 81 | # PyBuilder 82 | target/ 83 | 84 | # Jupyter Notebook 85 | .ipynb_checkpoints 86 | 87 | # pyenv 88 | .python-version 89 | 90 | # celery beat schedule file 91 | celerybeat-schedule 92 | 93 | # SageMath parsed files 94 | *.sage.py 95 | 96 | # dotenv 97 | .env 98 | .env.* 99 | 100 | # virtualenv 101 | .venv/ 102 | venv/ 103 | ENV/ 104 | env/ 105 | bin/ 106 | pyvenv.cfg 107 | Pipfile.lock 108 | 109 | # Spyder project settings 110 | .spyderproject 111 | .spyproject 112 | 113 | # Rope project settings 114 | .ropeproject 115 | 116 | # mkdocs documentation 117 | /site 118 | 119 | # mypy 120 | .mypy_cache/ 121 | .dmypy.json 122 | dmypy.json 123 | 124 | # Pyre type checker 125 | .pyre/ 126 | 127 | # pytype static type analyzer 128 | .pytype/ 129 | 130 | # Cython debug symbols 131 | cython_debug/ 132 | 133 | 134 | # Poetry specific 135 | .pypoetry-cache 136 | 137 | # Jupyter Notebook 138 | .ipynb_checkpoints 139 | 140 | # ptest-kin 141 | .pytest-kind 142 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2024 Jijun Leng 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining 6 | a copy of this software and associated documentation files (the 7 | "Software"), to deal in the Software without restriction, including 8 | without limitation the rights to use, copy, modify, merge, publish, 9 | distribute, sublicense, and/or sell copies of the Software, and to 10 | permit persons to whom the Software is furnished to do so, subject to 11 | the following conditions: 12 | 13 | The above copyright notice and this permission notice shall be 14 | included in all copies or substantial portions of the Software. 15 | 16 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, 17 | EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF 18 | MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND 19 | NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE 20 | LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION 21 | OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION 22 | WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. 23 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # This project is no longer maintained. (Due to changes introduced by Copilot, the repository will only function with the chat window, not the Edit window.) 2 | 3 | # Copilot Proxy 4 | 5 | Make VS Code GitHub Copilot work with any open weight models, Llama3, DeepSeek-Coder, StarCoder, etc. 6 | This should work even you are not a Copilot subscriber. 7 | 8 |
9 | Screenshot - Lennon 10 |
11 | 12 | ## 🌟 Motivations 13 | - I'm already familiar with and enjoy using the GitHub Copilot extension (yes, I know there are other awesome extensions, such as Continue.). 14 | - Copilot may not always utilize the latest GPT models. It currently uses models like `gpt-4-0125-preview`, `gpt-3.5-turbo` and others. 15 | - Transferring code from the editor to ChatGPT to use GPT-4o is inconvenient. 16 | - I'm interested in using alternative models such as Llama3, DeepSeek-Coder, StarCoder, and Sonnet 3.5. 17 | - I have subscriptions to both ChatGPT and Copilot but would like to cancel my Copilot subscription. 18 | 19 | 20 | ## 🏃‍♂️ How to Run 21 | 22 | 1. Install copilot_proxy 23 | 24 | ```bash 25 | git clone https://github.com/jjleng/copilot-proxy.git 26 | cd copilot-proxy 27 | # install dependencies 28 | poetry install 29 | # build and install copilot_proxy as a runnable script 30 | poetry build && pip uninstall copilot_proxy -y && ls dist/*.whl | sort -V | tail -n 1 | xargs pip install 31 | # verify that the script has been installed successfully 32 | copilot_proxy --version 33 | ``` 34 | 35 | 2. Run copilot_proxy with Ollama models, OpenRouter models or any OpenAI API compatible endpoints 36 | 37 | ```bash 38 | # Ollama 39 | MODEL_URL="http://localhost:11434/v1/chat/completions" MODEL_NAME="llama3:instruct" MODEL_API_KEY="whatever" copilot_proxy start 40 | # OpenRouter 41 | MODEL_URL="https://openrouter.ai/api/v1/chat/completions" MODEL_NAME="deepseek/deepseek-coder" MODEL_API_KEY="YOUR_KEY" copilot_proxy start 42 | ``` 43 | 44 | 3. Install mitmproxy certificate 45 | 46 | copilot_proxy uses mitmproxy to proxy the Copilot traffic. You need to install the mitmproxy certificate. 47 | After first run, you should find cert files under ~/.mitmproxy. See https://docs.mitmproxy.org/stable/concepts-certificates/ for details. 48 | 49 | Quick guides to import the CA certificate to your operating system. 50 | 51 | **Windows (not verified)** 52 | - Open the Windows Start menu and type `mmc` to open the Microsoft Management Console. 53 | - Go to `File` -> `Add/Remove Snap-in...`. 54 | - Select `Certificates` and click `Add`. 55 | - Choose `Computer account` and click `Next`. 56 | - Select `Local computer` and click `Finish`. 57 | - Click `OK` to close the snap-in window. 58 | - In the console, expand `Certificates (Local Computer)` -> `Trusted Root Certification Authorities` -> `Certificates`. 59 | - Right-click on `Certificates` and choose `All Tasks` -> `Import`. 60 | - Follow the import wizard, select `Browse`, and navigate to the `mitmproxy-ca-cert.pem` file. Make sure to select `All Files` to see the `.pem` file. 61 | - Finish the import process. 62 | 63 | **Mac (verified)** 64 | - Open `Keychain Access` from `Applications` -> `Utilities`. 65 | - Import it into the `System` keychain. 66 | - In the `File` menu, select `Import Items`. 67 | - Navigate to `~/.mitmproxy` and select the `mitmproxy-ca-cert.pem` file. 68 | - Find the imported certificate in the list, right-click it, and select `Get Info`. 69 | - Expand the `Trust` section and set `When using this certificate` to `Always Trust`. 70 | - Close the info window and authenticate with your password to apply the changes. 71 | 72 | **Linux (not verified)** 73 | - Copy the `mitmproxy-ca-cert.pem` file to the system certificate directory: 74 | ```bash 75 | sudo cp ~/.mitmproxy/mitmproxy-ca-cert.pem /usr/local/share/ca-certificates/mitmproxy-ca-cert.crt 76 | ``` 77 | 78 | - Update the certificate store: 79 | ```bash 80 | sudo update-ca-certificates 81 | ``` 82 | 83 | Restart copilot_proxy 84 | 85 | 4. Setup the proxy in VS Code 86 | 87 | Follow the guide here: 88 | https://docs.github.com/en/copilot/managing-copilot/configure-personal-settings/configuring-network-settings-for-github-copilot 89 |
90 | Screenshot - Lennon 91 |
92 | 93 | ## ✨ Code Completion 94 | For code completions, the best result will be calling the model through the FIM (fill-in-the-middle) template. This can be done by calling the `/completion` endpoint with the `suffix` parameter. If your inference server is compatible with OpenAI `/completion` endpoint and supports the `suffix` parameter, you can get better completions by using the code in the `completion` branch. This setup will produce the best result. 95 | 96 | NOTICE: Ollama doesn't support the `/completion` endpoint and vLLM doesn't support the `suffix` parameter. 97 | 98 | Code from the `main` branch works well with Copilot chat, but might not produce high quality completions. However, it is agnostic about the inference servers. 99 | 100 | ## 🤔 Why not go the simpler route? 101 | In VS Code settings, we can 102 | ```json 103 | { 104 | "github.copilot.advanced": { 105 | "debug.testOverrideProxyUrl": "http://localhost:11434", 106 | "debug.overrideProxyUrl": "http://localhost:11434" 107 | } 108 | } 109 | ``` 110 | 111 | This did not work for me. 112 | - Only code completion triggers the endpoint, chatbox does not. 113 | - Seems I need to keep the Copilot subscription? 114 | - Flexibility. 115 | -------------------------------------------------------------------------------- /copilot_proxy/__init__.py: -------------------------------------------------------------------------------- 1 | from importlib.metadata import PackageNotFoundError, version 2 | 3 | try: 4 | __version__ = version(__name__) 5 | except PackageNotFoundError: 6 | __version__ = "" 7 | -------------------------------------------------------------------------------- /copilot_proxy/__main__.py: -------------------------------------------------------------------------------- 1 | import typer 2 | 3 | from copilot_proxy import __version__ 4 | from copilot_proxy.server import run 5 | 6 | cli = typer.Typer(context_settings={"help_option_names": ["-h", "--help"]}) 7 | 8 | 9 | def version_callback(version: bool) -> None: 10 | if version: 11 | typer.echo(f"{__version__}") 12 | raise typer.Exit() 13 | 14 | 15 | @cli.callback() 16 | def version_option( 17 | ctx: typer.Context, 18 | version: bool = typer.Option( 19 | False, "--version", help="Show version and exit", callback=version_callback 20 | ), 21 | ) -> None: 22 | pass 23 | 24 | 25 | @cli.command(name="start") 26 | def start( 27 | port: int = typer.Option( 28 | 15432, 29 | "--port", 30 | "-p", 31 | help="The port number where the proxy server listens for incoming connections", 32 | ) 33 | ) -> None: 34 | run(port) 35 | 36 | 37 | def main() -> None: 38 | cli() 39 | 40 | 41 | if __name__ == "__main__": 42 | main() 43 | -------------------------------------------------------------------------------- /copilot_proxy/config.py: -------------------------------------------------------------------------------- 1 | import os 2 | 3 | MODEL_URL = os.getenv("MODEL_URL") 4 | MODEL_API_KEY = os.getenv("MODEL_API_KEY") 5 | MODEL_NAME = os.getenv("MODEL_NAME") 6 | 7 | # The patterns of the urls that we want to pay attention to 8 | URLS_OF_INTEREST = r"api\.github|copilot-codex" 9 | -------------------------------------------------------------------------------- /copilot_proxy/inject_responses.py: -------------------------------------------------------------------------------- 1 | from copilot_proxy.utils import (generate_epoch_15min_later, generate_fake_asn, 2 | generate_fake_ip, generate_random_string) 3 | MODELS_TO_INJECT = { 4 | "data": [ 5 | { 6 | "capabilities": { 7 | "family": "gpt-3.5-turbo", 8 | "limits": {"max_prompt_tokens": 12288}, 9 | "object": "model_capabilities", 10 | "supports": {"tool_calls": True}, 11 | "tokenizer": "cl100k_base", 12 | "type": "chat", 13 | }, 14 | "id": "gpt-3.5-turbo", 15 | "name": "GPT 3.5 Turbo", 16 | "object": "model", 17 | "version": "gpt-3.5-turbo-0613", 18 | }, 19 | { 20 | "capabilities": { 21 | "family": "gpt-3.5-turbo", 22 | "limits": {"max_prompt_tokens": 12288}, 23 | "object": "model_capabilities", 24 | "supports": {"tool_calls": True}, 25 | "tokenizer": "cl100k_base", 26 | "type": "chat", 27 | }, 28 | "id": "gpt-3.5-turbo-0613", 29 | "name": "GPT 3.5 Turbo", 30 | "object": "model", 31 | "version": "gpt-3.5-turbo-0613", 32 | }, 33 | { 34 | "capabilities": { 35 | "family": "gpt-4", 36 | "limits": {"max_prompt_tokens": 20000}, 37 | "object": "model_capabilities", 38 | "supports": {"tool_calls": True}, 39 | "tokenizer": "cl100k_base", 40 | "type": "chat", 41 | }, 42 | "id": "gpt-4", 43 | "name": "GPT 4", 44 | "object": "model", 45 | "version": "gpt-4-0613", 46 | }, 47 | { 48 | "capabilities": { 49 | "family": "gpt-4", 50 | "limits": {"max_prompt_tokens": 20000}, 51 | "object": "model_capabilities", 52 | "supports": {"tool_calls": True}, 53 | "tokenizer": "cl100k_base", 54 | "type": "chat", 55 | }, 56 | "id": "gpt-4-0613", 57 | "name": "GPT 4", 58 | "object": "model", 59 | "version": "gpt-4-0613", 60 | }, 61 | { 62 | "capabilities": { 63 | "family": "gpt-4-turbo", 64 | "limits": {"max_prompt_tokens": 20000}, 65 | "object": "model_capabilities", 66 | "supports": { 67 | "parallel_tool_calls": True, 68 | "tool_calls": True 69 | }, 70 | "tokenizer": "cl100k_base", 71 | "type": "chat", 72 | }, 73 | "id": "gpt-4-0125-preview", 74 | "name": "GPT 4 Turbo", 75 | "object": "model", 76 | "version": "gpt-4-0125-preview", 77 | }, 78 | { 79 | "capabilities": { 80 | "family": "gpt-4o", 81 | "limits": {"max_prompt_tokens": 20000}, 82 | "object": "model_capabilities", 83 | "supports": { 84 | "parallel_tool_calls": True, 85 | "tool_calls": True 86 | }, 87 | "tokenizer": "o200k_base", 88 | "type": "chat", 89 | }, 90 | "id": "gpt-4o", 91 | "name": "GPT 4o", 92 | "object": "model", 93 | "version": "gpt-4o-2024-05-13", 94 | }, 95 | { 96 | "capabilities": { 97 | "family": "gpt-4o", 98 | "limits": {"max_prompt_tokens": 20000}, 99 | "object": "model_capabilities", 100 | "supports": { 101 | "parallel_tool_calls": True, 102 | "tool_calls": True 103 | }, 104 | "tokenizer": "o200k_base", 105 | "type": "chat", 106 | }, 107 | "id": "gpt-4o-2024-05-13", 108 | "name": "GPT 4o", 109 | "object": "model", 110 | "version": "gpt-4o-2024-05-13", 111 | }, 112 | { 113 | "capabilities": { 114 | "family": "gpt-4o", 115 | "limits": {"max_prompt_tokens": 20000}, 116 | "object": "model_capabilities", 117 | "supports": { 118 | "parallel_tool_calls": True, 119 | "tool_calls": True 120 | }, 121 | "tokenizer": "o200k_base", 122 | "type": "chat", 123 | }, 124 | "id": "gpt-4-o-preview", 125 | "name": "GPT 4o", 126 | "object": "model", 127 | "version": "gpt-4o-2024-05-13", 128 | }, 129 | { 130 | "capabilities": { 131 | "family": "text-embedding-ada-002", 132 | "limits": {"max_inputs": 256}, 133 | "object": "model_capabilities", 134 | "supports": {}, 135 | "tokenizer": "cl100k_base", 136 | "type": "embeddings", 137 | }, 138 | "id": "text-embedding-ada-002", 139 | "name": "Embedding V2 Ada", 140 | "object": "model", 141 | "version": "text-embedding-ada-002", 142 | }, 143 | { 144 | "capabilities": { 145 | "family": "text-embedding-3-small", 146 | "limits": {"max_inputs": 256}, 147 | "object": "model_capabilities", 148 | "supports": {"dimensions": True}, 149 | "tokenizer": "cl100k_base", 150 | "type": "embeddings", 151 | }, 152 | "id": "text-embedding-3-small", 153 | "name": "Embedding V3 small", 154 | "object": "model", 155 | "version": "text-embedding-3-small", 156 | }, 157 | { 158 | "capabilities": { 159 | "family": "text-embedding-3-small", 160 | "object": "model_capabilities", 161 | "supports": {"dimensions": True}, 162 | "tokenizer": "cl100k_base", 163 | "type": "embeddings", 164 | }, 165 | "id": "text-embedding-3-small-inference", 166 | "name": "Embedding V3 small (Inference)", 167 | "object": "model", 168 | "version": "text-embedding-3-small", 169 | }, 170 | ], 171 | "object": "list", 172 | } 173 | 174 | MODELS_TO_INJECT_OLD = { 175 | "data": [ 176 | { 177 | "capabilities": { 178 | "family": "gpt-3.5-turbo", 179 | "limits": {"max_prompt_tokens": 7168}, 180 | "object": "model_capabilities", 181 | "type": "chat", 182 | }, 183 | "id": "gpt-3.5-turbo", 184 | "name": "GPT 3.5 Turbo", 185 | "object": "model", 186 | "version": "gpt-3.5-turbo-0613", 187 | }, 188 | { 189 | "capabilities": { 190 | "family": "gpt-3.5-turbo", 191 | "limits": {"max_prompt_tokens": 7168}, 192 | "object": "model_capabilities", 193 | "type": "chat", 194 | }, 195 | "id": "gpt-3.5-turbo-0613", 196 | "name": "GPT 3.5 Turbo (2023-06-13)", 197 | "object": "model", 198 | "version": "gpt-3.5-turbo-0613", 199 | }, 200 | { 201 | "capabilities": { 202 | "family": "gpt-4", 203 | "limits": {"max_prompt_tokens": 6144}, 204 | "object": "model_capabilities", 205 | "type": "chat", 206 | }, 207 | "id": "gpt-4", 208 | "name": "GPT 4", 209 | "object": "model", 210 | "version": "gpt-4-0613", 211 | }, 212 | { 213 | "capabilities": { 214 | "family": "gpt-4", 215 | "limits": {"max_prompt_tokens": 6144}, 216 | "object": "model_capabilities", 217 | "type": "chat", 218 | }, 219 | "id": "gpt-4-0613", 220 | "name": "GPT 4 (2023-06-13)", 221 | "object": "model", 222 | "version": "gpt-4-0613", 223 | }, 224 | { 225 | "capabilities": { 226 | "family": "gpt-4-turbo", 227 | "limits": {"max_prompt_tokens": 6144}, 228 | "object": "model_capabilities", 229 | "type": "chat", 230 | }, 231 | "id": "gpt-4-0125-preview", 232 | "name": "GPT 4 Turbo (2024-01-25 Preview)", 233 | "object": "model", 234 | "version": "gpt-4-0125-preview", 235 | }, 236 | { 237 | "capabilities": { 238 | "family": "text-embedding-ada-002", 239 | "limits": {"max_inputs": 256}, 240 | "object": "model_capabilities", 241 | "type": "embeddings", 242 | }, 243 | "id": "text-embedding-ada-002", 244 | "name": "Embedding V2 Ada", 245 | "object": "model", 246 | "version": "text-embedding-ada-002", 247 | }, 248 | { 249 | "capabilities": { 250 | "family": "text-embedding-ada-002", 251 | "object": "model_capabilities", 252 | "type": "embeddings", 253 | }, 254 | "id": "text-embedding-ada-002-index", 255 | "name": "Embedding V2 Ada (Index)", 256 | "object": "model", 257 | "version": "text-embedding-ada-002", 258 | }, 259 | { 260 | "capabilities": { 261 | "family": "text-embedding-3-small", 262 | "object": "model_capabilities", 263 | "type": "embeddings", 264 | }, 265 | "id": "text-embedding-3-small", 266 | "name": "Embedding V3 small", 267 | "object": "model", 268 | "version": "text-embedding-3-small", 269 | }, 270 | { 271 | "capabilities": { 272 | "family": "text-embedding-3-small", 273 | "object": "model_capabilities", 274 | "type": "embeddings", 275 | }, 276 | "id": "text-embedding-3-small-inference", 277 | "name": "Embedding V3 small (Inference)", 278 | "object": "model", 279 | "version": "text-embedding-3-small", 280 | }, 281 | ], 282 | "object": "list", 283 | } 284 | 285 | tid = generate_random_string() 286 | expire_time = generate_epoch_15min_later() 287 | 288 | TOKEN_TO_INJECT = { 289 | "annotations_enabled": False, 290 | "chat_enabled": True, 291 | "chat_jetbrains_enabled": True, 292 | "code_quote_enabled": True, 293 | "codesearch": False, 294 | "copilot_ide_agent_chat_gpt4_small_prompt": False, 295 | "copilotignore_enabled": False, 296 | "endpoints": { 297 | "api": "https://api.githubcopilot.com", 298 | "origin-tracker": "https://origin-tracker.githubusercontent.com", 299 | "proxy": "https://copilot-proxy.githubusercontent.com", 300 | "telemetry": "https://copilot-telemetry-service.githubusercontent.com", 301 | }, 302 | "expires_at": expire_time, 303 | "individual": True, 304 | "nes_enabled": False, 305 | "prompt_8k": True, 306 | "public_suggestions": "disabled", 307 | "refresh_in": 1500, 308 | "sku": "monthly_subscriber", 309 | "snippy_load_test_enabled": False, 310 | "telemetry": "disabled", 311 | "token": f"tid={tid};exp={expire_time};sku=monthly_subscriber;st=dotcom;chat=1;8kp=1;ip={generate_fake_ip()};asn={generate_fake_asn()}", 312 | "tracking_id": tid, 313 | "vsc_electron_fetcher": False, 314 | } 315 | -------------------------------------------------------------------------------- /copilot_proxy/server.py: -------------------------------------------------------------------------------- 1 | import json 2 | import re 3 | import time 4 | from typing import Any, Generator, Iterator 5 | 6 | import requests 7 | from mitmproxy import ctx, http 8 | 9 | from copilot_proxy.config import (MODEL_API_KEY, MODEL_NAME, MODEL_URL, 10 | URLS_OF_INTEREST) 11 | from copilot_proxy.inject_responses import MODELS_TO_INJECT, TOKEN_TO_INJECT 12 | from copilot_proxy.utils import parse_sse_stream 13 | 14 | 15 | # GH Copilot still uses the completion API, which is deprecated. See below 16 | # https://platform.openai.com/docs/api-reference/completions 17 | # And, Ollama and OpenRouter don't support the completions endpoint well. 18 | # Therefore, we do conversions and use the chat completion API instead. 19 | def code_completion(completion_input: dict) -> Generator[bytes, Any, None]: 20 | if not MODEL_URL or not MODEL_API_KEY or not MODEL_NAME: 21 | raise ValueError( 22 | "You must specify env vars `MODEL_URL`, `MODEL_API_KEY` and `MODEL_NAME`" 23 | ) 24 | 25 | # Extracting necessary parts from the completion input 26 | prompt = completion_input.get("prompt", "") 27 | suffix = completion_input.get("suffix", "") 28 | max_tokens = completion_input.get("max_tokens", 500) 29 | temperature = completion_input.get("temperature", 0.2) 30 | top_p = completion_input.get("top_p", 1) 31 | n = completion_input.get("n", 3) 32 | stop = completion_input.get("stop", []) 33 | stream = completion_input.get("stream", True) 34 | extra = completion_input.get("extra", {}) 35 | 36 | # I haven't found any good models for code completion tasks without fine tuning 37 | # These prompts definitely need more work 38 | user_prompt = ( 39 | f"{prompt}{suffix}\n\n" 40 | f"Extra Context:\n{json.dumps(extra)}\n\n" 41 | f"Now insert your completion at the place marked by ``" 42 | ) 43 | 44 | system_prompt = ( 45 | "You are an expert programmer that completes code snippets in code editor." 46 | "The completion is additional code or comments that users might want to add. " 47 | "You MUST NOT use markdown, code blocks, or any formatting such as ```python; just print the code or comments directly. " 48 | ) 49 | 50 | messages = [ 51 | {"role": "system", "content": system_prompt}, 52 | {"role": "user", "content": user_prompt}, 53 | ] 54 | 55 | chat_completion_input = { 56 | "model": MODEL_NAME, 57 | "messages": messages, 58 | "max_tokens": max_tokens, 59 | "temperature": temperature, 60 | "top_p": top_p, 61 | "n": n, 62 | "stop": stop, 63 | "stream": stream, 64 | } 65 | 66 | # Making the API call 67 | url = MODEL_URL 68 | headers = { 69 | "Content-Type": "application/json", 70 | "Authorization": f"Bearer {MODEL_API_KEY}", 71 | } 72 | 73 | # `stream`` is always True 74 | response = requests.post( 75 | url, headers=headers, data=json.dumps(chat_completion_input), stream=stream 76 | ) 77 | response.raise_for_status() 78 | 79 | for data in parse_sse_stream(response=response): 80 | decoded_line = data.strip() 81 | if not decoded_line: 82 | continue 83 | if decoded_line == "[DONE]": 84 | break 85 | 86 | data_dict = json.loads(decoded_line) 87 | choices = data_dict.get("choices", []) 88 | 89 | for choice in choices: 90 | content = choice.get("delta", {}).get("content", "") 91 | if content: 92 | result = { 93 | "id": data_dict.get("id"), 94 | "created": data_dict.get("created") or int(time.time()), 95 | "choices": [ 96 | { 97 | "text": content, 98 | "index": choice.get("index"), 99 | "finish_reason": choice.get("finish_reason"), 100 | "logprobs": choice.get("logprobs"), 101 | "p": "aaaa", 102 | } 103 | ], 104 | } 105 | yield f"data: {json.dumps(result)}\n\n".encode("utf-8") 106 | yield "data: [DONE]\n\n".encode("utf-8") 107 | 108 | 109 | def code_gen(messages: dict) -> Generator[bytes, None, None]: 110 | """ 111 | Generate code using the specified model. 112 | """ 113 | if not MODEL_URL or not MODEL_API_KEY or not MODEL_NAME: 114 | raise ValueError( 115 | "You must specify env vars `MODEL_URL`, `MODEL_API_KEY` and `MODEL_NAME`" 116 | ) 117 | 118 | headers = { 119 | "Authorization": f"Bearer {MODEL_API_KEY}", 120 | "Content-Type": "application/json", 121 | } 122 | data = { 123 | "model": MODEL_NAME, 124 | "messages": messages, 125 | "temperature": 0.0, 126 | "max_tokens": 2500, 127 | "stream": True, 128 | } 129 | 130 | with requests.post(MODEL_URL, headers=headers, json=data, stream=True) as response: 131 | for chunk in response.iter_content(chunk_size=None): 132 | if chunk: 133 | ctx.log.info(f"{chunk}") 134 | yield chunk 135 | 136 | 137 | def request(flow: http.HTTPFlow) -> None: 138 | """ 139 | Log details of the incoming HTTP request. 140 | """ 141 | ctx.log.info(f"Request to {flow.request.pretty_url}") 142 | ctx.log.info(f"Request method: {flow.request.method}") 143 | ctx.log.info(f"Request headers: {dict(flow.request.headers)}") 144 | if flow.request.content and re.search(URLS_OF_INTEREST, flow.request.pretty_url): 145 | ctx.log.info( 146 | f"Request body for {flow.request.pretty_url}: {flow.request.get_text()}" 147 | ) 148 | 149 | 150 | def handle_streaming_response( 151 | flow: http.HTTPFlow, iterator: Iterator[bytes], content_type: str 152 | ) -> None: 153 | def stream_chunks(data): 154 | for chunk in iterator: 155 | yield chunk 156 | 157 | flow.response = http.Response.make( 158 | 200, # Necessary, since we inject wrong token to the client. api.githubcopilot.com/chat/completions returns 401 159 | # headers fields might not be needed 160 | headers={ 161 | "Content-Type": content_type, 162 | "x-request-id": flow.request.headers[b"x-request-id"], 163 | "content-security-policy": "default-src 'none'; sandbox", 164 | }, 165 | ) 166 | 167 | del flow.response.headers[b"content-length"] 168 | # Stream has be to hijacked in responseheaders 169 | # https://docs.mitmproxy.org/stable/overview-features/#streaming 170 | flow.response.stream = stream_chunks 171 | 172 | 173 | def responseheaders(flow: http.HTTPFlow) -> None: 174 | if not flow.request.content: 175 | return 176 | 177 | if flow.request.pretty_url == "https://api.githubcopilot.com/chat/completions": 178 | messages = json.loads(flow.request.content.decode("utf-8"))["messages"] 179 | handle_streaming_response(flow, code_gen(messages), "application/json") 180 | elif ( 181 | flow.request.pretty_url 182 | == "https://copilot-proxy.githubusercontent.com/v1/engines/copilot-codex/completions" 183 | ): 184 | body = json.loads(flow.request.content.decode("utf-8")) 185 | handle_streaming_response(flow, code_completion(body), "text/event-stream") 186 | 187 | 188 | def response(flow: http.HTTPFlow) -> None: 189 | """ 190 | Log details of the outgoing HTTP response and modify specific responses. 191 | """ 192 | assert flow.response 193 | ctx.log.info( 194 | f"Response from {flow.request.pretty_url}: {flow.response.status_code}" 195 | ) 196 | ctx.log.info(f"Response headers: {dict(flow.response.headers)}") 197 | if flow.response.content and re.search(URLS_OF_INTEREST, flow.request.pretty_url): 198 | ctx.log.info( 199 | f"Response body for {flow.request.pretty_url}: {flow.response.get_text()}" 200 | ) 201 | 202 | if flow.request.pretty_url == "https://api.githubcopilot.com/models": 203 | flow.response = http.Response.make( 204 | 200, 205 | json.dumps(MODELS_TO_INJECT).encode("utf-8"), 206 | {"Content-Type": "application/json"}, 207 | ) 208 | elif flow.request.pretty_url == "https://api.github.com/copilot_internal/v2/token": 209 | flow.response = http.Response.make( 210 | 200, 211 | json.dumps(TOKEN_TO_INJECT).encode("utf-8"), 212 | {"Content-Type": "application/json"}, 213 | ) 214 | 215 | 216 | addons = [ 217 | request, 218 | responseheaders, 219 | response, 220 | ] 221 | 222 | 223 | def run(port: int) -> None: 224 | from mitmproxy.tools.main import mitmdump 225 | 226 | mitmdump(["-p", str(port), "-s", __file__]) 227 | -------------------------------------------------------------------------------- /copilot_proxy/utils.py: -------------------------------------------------------------------------------- 1 | import random 2 | import string 3 | import time 4 | from typing import Any, Generator 5 | 6 | from requests import Response 7 | from sseclient import SSEClient 8 | 9 | 10 | def generate_random_string(length: int = 32) -> str: 11 | """Generate a random string of fixed length.""" 12 | letters_and_digits = string.ascii_lowercase + string.digits 13 | return "".join(random.choice(letters_and_digits) for i in range(length)) 14 | 15 | 16 | def generate_fake_asn(): 17 | """Generate a fake ASN (Autonomous System Number) in the format ASXXXX:hash.""" 18 | # Generate a random ASN number part 19 | asn_number = random.randint(1, 99999) 20 | # Generate a random hash part (32 characters long, similar to the example) 21 | hash_part = "".join(random.choices("0123456789abcdef", k=64)) 22 | return f"AS{asn_number}:{hash_part}" 23 | 24 | 25 | def generate_fake_ip(): 26 | """Generate a fake IPv4 address.""" 27 | return ".".join(str(random.randint(0, 255)) for _ in range(4)) 28 | 29 | 30 | def generate_epoch_15min_later(): 31 | """Generate an epoch time for 15 minutes later.""" 32 | current_time = time.time() 33 | fifteen_minutes = 15 * 60 # 15 minutes in seconds 34 | future_time = current_time + fifteen_minutes 35 | return int(future_time) 36 | 37 | 38 | def parse_sse_stream(response: Response) -> Generator[str, Any, None]: 39 | client = SSEClient((chunk for chunk in response.iter_content())) 40 | for event in client.events(): 41 | if event.data: 42 | yield event.data 43 | -------------------------------------------------------------------------------- /docs/proxy.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jjleng/copilot-proxy/abab71cd3640fd81f564eb3c7241c5866e3849c9/docs/proxy.png -------------------------------------------------------------------------------- /docs/what-model-are-you.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jjleng/copilot-proxy/abab71cd3640fd81f564eb3c7241c5866e3849c9/docs/what-model-are-you.png 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-------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [tool.poetry] 2 | name = "copilot-proxy" 3 | version = "0.1.0" 4 | description = "An HTTP proxy with Flask and Cython" 5 | authors = ["Jijun Leng"] 6 | license = "MIT" 7 | readme = "README.md" 8 | 9 | [tool.mypy] 10 | ignore_missing_imports = true 11 | 12 | [tool.poetry.dependencies] 13 | python = "^3.10" 14 | python-dotenv = "^1.0.1" 15 | mitmproxy = "^10.3.1" 16 | requests = "^2.32.3" 17 | typer = "^0.12.3" 18 | sseclient-py = "^1.8.0" 19 | sse-starlette = "^2.1.2" 20 | 21 | [tool.poetry.group.dev.dependencies] 22 | black = "^24.4.2" 23 | isort = "^5.13.2" 24 | types-requests = "^2.32.0.20240622" 25 | mypy = "^1.10.1" 26 | 27 | [build-system] 28 | requires = ["poetry-core"] 29 | build-backend = "poetry.core.masonry.api" 30 | 31 | [tool.poetry.scripts] 32 | copilot_proxy = "copilot_proxy.__main__:main" 33 | --------------------------------------------------------------------------------