diff options
| -rw-r--r-- | continuedev/poetry.lock | 146 | ||||
| -rw-r--r-- | continuedev/pyproject.toml | 1 | ||||
| -rw-r--r-- | continuedev/requirements.txt | 3 | ||||
| -rw-r--r-- | continuedev/src/continuedev/core/models.py | 3 | ||||
| -rw-r--r-- | continuedev/src/continuedev/libs/llm/hf_inference_api.py | 86 | ||||
| -rw-r--r-- | continuedev/src/continuedev/plugins/steps/setup_model.py | 1 | ||||
| -rw-r--r-- | docs/docs/customization.md | 19 | ||||
| -rw-r--r-- | extension/react-app/src/components/ModelSelect.tsx | 8 |
8 files changed, 212 insertions, 55 deletions
diff --git a/continuedev/poetry.lock b/continuedev/poetry.lock index 6808a83e..23ff9094 100644 --- a/continuedev/poetry.lock +++ b/continuedev/poetry.lock @@ -635,6 +635,24 @@ doc = ["mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-markdo test = ["anyio[trio] (>=3.2.1,<4.0.0)", "black (==23.1.0)", "coverage[toml] (>=6.5.0,<8.0)", "databases[sqlite] (>=0.3.2,<0.7.0)", "email-validator (>=1.1.1,<2.0.0)", "flask (>=1.1.2,<3.0.0)", "httpx (>=0.23.0,<0.24.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.982)", "orjson (>=3.2.1,<4.0.0)", "passlib[bcrypt] (>=1.7.2,<2.0.0)", "peewee (>=3.13.3,<4.0.0)", "pytest (>=7.1.3,<8.0.0)", "python-jose[cryptography] (>=3.3.0,<4.0.0)", "python-multipart (>=0.0.5,<0.0.7)", "pyyaml (>=5.3.1,<7.0.0)", "ruff (==0.0.138)", "sqlalchemy (>=1.3.18,<1.4.43)", "types-orjson (==3.6.2)", "types-ujson (==5.7.0.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0,<6.0.0)"] [[package]] +name = "filelock" +version = "3.12.3" +description = "A 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@@ bs4 = "^0.0.1" replicate = "^0.11.0" redbaron = "^0.9.2" python-lsp-server = "^1.7.4" +huggingface-hub = "^0.16.4" [tool.poetry.scripts] typegen = "src.continuedev.models.generate_json_schema:main" diff --git a/continuedev/requirements.txt b/continuedev/requirements.txt index 91120c59..a689f085 100644 --- a/continuedev/requirements.txt +++ b/continuedev/requirements.txt @@ -23,4 +23,5 @@ ripgrepy==2.0.0 replicate==0.11.0 bs4==0.0.1 redbaron==0.9.2 -python-lsp-server==1.2.0
\ No newline at end of file +python-lsp-server==1.2.0 +huggingface-hub==0.16.4
\ No newline at end of file diff --git a/continuedev/src/continuedev/core/models.py b/continuedev/src/continuedev/core/models.py index 9816d5d9..f24c81ca 100644 --- a/continuedev/src/continuedev/core/models.py +++ b/continuedev/src/continuedev/core/models.py @@ -11,6 +11,7 @@ from ..libs.llm.ollama import Ollama from ..libs.llm.openai import OpenAI from ..libs.llm.replicate import ReplicateLLM from ..libs.llm.together import TogetherLLM +from ..libs.llm.hf_inference_api import HuggingFaceInferenceAPI class ContinueSDK(BaseModel): @@ -37,6 +38,7 @@ MODEL_CLASSES = { ReplicateLLM, Ollama, LlamaCpp, + HuggingFaceInferenceAPI, ] } @@ -49,6 +51,7 @@ MODEL_MODULE_NAMES = { "ReplicateLLM": "replicate", "Ollama": "ollama", "LlamaCpp": "llamacpp", + "HuggingFaceInferenceAPI": "hf_inference_api", } diff --git a/continuedev/src/continuedev/libs/llm/hf_inference_api.py b/continuedev/src/continuedev/libs/llm/hf_inference_api.py index 43aac148..b8fc49a9 100644 --- a/continuedev/src/continuedev/libs/llm/hf_inference_api.py +++ b/continuedev/src/continuedev/libs/llm/hf_inference_api.py @@ -1,73 +1,53 @@ -from typing import List, Optional +from typing import Callable, Dict, List +from ..llm import LLM, CompletionOptions -import aiohttp -import requests - -from ...core.main import ChatMessage -from ..llm import LLM +from huggingface_hub import InferenceClient +from .prompts.chat import llama2_template_messages from .prompts.edit import simplified_edit_prompt -DEFAULT_MAX_TIME = 120.0 - class HuggingFaceInferenceAPI(LLM): + model: str = "Hugging Face Inference API" hf_token: str - self_hosted_url: str = None - - verify_ssl: Optional[bool] = None + endpoint_url: str = None - _client_session: aiohttp.ClientSession = None + template_messages: Callable[[List[Dict[str, str]]], str] | None = llama2_template_messages prompt_templates = { - "edit": simplified_edit_prompt, + "edit": simplified_edit_prompt, } class Config: arbitrary_types_allowed = True - async def start(self, **kwargs): - await super().start(**kwargs) - self._client_session = aiohttp.ClientSession( - connector=aiohttp.TCPConnector(verify_ssl=self.verify_ssl), - timeout=aiohttp.ClientTimeout(total=self.timeout), - ) + def collect_args(self, options: CompletionOptions): + options.stop = None + args = super().collect_args(options) - async def stop(self): - await self._client_session.close() + if "max_tokens" in args: + args["max_new_tokens"] = args["max_tokens"] + del args["max_tokens"] + if "stop" in args: + args["stop_sequences"] = args["stop"] + del args["stop"] + if "model" in args: + del args["model"] + return args - async def _complete(self, prompt: str, options): - """Return the completion of the text with the given temperature.""" - API_URL = ( - self.base_url or f"https://api-inference.huggingface.co/models/{self.model}" - ) - headers = {"Authorization": f"Bearer {self.hf_token}"} - response = requests.post( - API_URL, - headers=headers, - json={ - "inputs": prompt, - "parameters": { - "max_new_tokens": min( - 250, self.max_context_length - self.count_tokens(prompt) - ), - "max_time": DEFAULT_MAX_TIME, - "return_full_text": False, - }, - }, - ) - data = response.json() - - # Error if the response is not a list - if not isinstance(data, list): - raise Exception("Hugging Face returned an error response: \n\n", data) + async def _stream_complete(self, prompt, options): + args = self.collect_args(options) - return data[0]["generated_text"] + client = InferenceClient(self.endpoint_url, token=self.hf_token) - async def _stream_chat(self, messages: List[ChatMessage], options): - response = await self._complete(messages[-1].content, messages[:-1]) - yield {"content": response, "role": "assistant"} + stream = client.text_generation(prompt, stream=True, details=True) - async def _stream_complete(self, prompt, options): - response = await self._complete(prompt, options) - yield response + for r in stream: + # skip special tokens + if r.token.special: + continue + # stop if we encounter a stop sequence + if options.stop is not None: + if r.token.text in options.stop: + break + yield r.token.text
\ No newline at end of file diff --git a/continuedev/src/continuedev/plugins/steps/setup_model.py b/continuedev/src/continuedev/plugins/steps/setup_model.py index 3dae39c2..7fa34907 100644 --- a/continuedev/src/continuedev/plugins/steps/setup_model.py +++ b/continuedev/src/continuedev/plugins/steps/setup_model.py @@ -13,6 +13,7 @@ MODEL_CLASS_TO_MESSAGE = { "GGML": "GGML models can be run locally using the `llama-cpp-python` library. To learn how to set up a local llama-cpp-python server, read [here](https://github.com/continuedev/ggml-server-example). Once it is started on port 8000, you're all set!", "TogetherLLM": "To get started using models from Together, first obtain your Together API key from [here](https://together.ai). Paste it into the `api_key` field at config.models.default.api_key in `config.py`. Then, on their models page, press 'start' on the model of your choice and make sure the `model=` parameter in the config file for the `TogetherLLM` class reflects the name of this model. Finally, reload the VS Code window for changes to take effect.", "LlamaCpp": "To get started with this model, clone the [`llama.cpp` repo](https://github.com/ggerganov/llama.cpp) and follow the instructions to set up the server [here](https://github.com/ggerganov/llama.cpp/blob/master/examples/server/README.md#build). Any of the parameters described in the README can be passed to the `llama_cpp_args` field in the `LlamaCpp` class in `config.py`.", + "HuggingFaceInferenceAPI": "To get started with the HuggingFace Inference API, first deploy a model and obtain your API key from [here](https://huggingface.co/inference-api). Paste it into the `hf_token` field at config.models.default.hf_token in `config.py`. Finally, reload the VS Code window for changes to take effect." } diff --git a/docs/docs/customization.md b/docs/docs/customization.md index 5fc3eab5..fb7dc0c5 100644 --- a/docs/docs/customization.md +++ b/docs/docs/customization.md @@ -21,6 +21,7 @@ Open-Source Models (not local) - [TogetherLLM](#together) - Use any model from the [Together Models list](https://docs.together.ai/docs/models-inference) with your Together API key. - [ReplicateLLM](#replicate) - Use any open-source model from the [Replicate Streaming List](https://replicate.com/collections/streaming-language-models) with your Replicate API key. +- [HuggingFaceInferenceAPI](#huggingface) - Use any open-source model from the [Hugging Face Inference API](https://huggingface.co/inference-api) with your Hugging Face token. ## Change the default LLM @@ -206,6 +207,24 @@ config = ContinueConfig( If you don't specify the `model` parameter, it will default to `replicate/llama-2-70b-chat:58d078176e02c219e11eb4da5a02a7830a283b14cf8f94537af893ccff5ee781`. +### Hugging Face + +Hugging Face Inference API is a great option for newly released language models. Sign up for an account and add billing [here](https://huggingface.co/settings/billing), access the Inference Endpoints [here](https://ui.endpoints.huggingface.co), click on “New endpoint”, and fill out the form (e.g. select a model like [WizardCoder-Python-34B-V1.0](https://huggingface.co/WizardLM/WizardCoder-Python-34B-V1.0)), and then deploy your model by clicking “Create Endpoint”. Change `~/.continue/config.py` to look like this: + +```python +from continuedev.src.continuedev.core.models import Models +from continuedev.src.continuedev.libs.llm.hf_inference_api import HuggingFaceInferenceAPI + +config = ContinueConfig( + ... + models=Models( + default=HuggingFaceInferenceAPI( + endpoint_url: "<INFERENCE_API_ENDPOINT_URL>", + hf_token: "<HUGGING_FACE_TOKEN>", + ) +) +``` + ### Self-hosting an open-source model If you want to self-host on Colab, RunPod, HuggingFace, Haven, or another hosting provider you will need to wire up a new LLM class. It only needs to implement 3 primary methods: `stream_complete`, `complete`, and `stream_chat`, and you can see examples in `continuedev/src/continuedev/libs/llm`. diff --git a/extension/react-app/src/components/ModelSelect.tsx b/extension/react-app/src/components/ModelSelect.tsx index e6c0e9c9..6a7692ff 100644 --- a/extension/react-app/src/components/ModelSelect.tsx +++ b/extension/react-app/src/components/ModelSelect.tsx @@ -60,6 +60,14 @@ const MODEL_INFO: { title: string; class: string; args: any }[] = [ args: {}, }, { + title: "HuggingFace Inference API", + class: "HuggingFaceInferenceAPI", + args: { + endpoint_url: "<INFERENCE_API_ENDPOINT_URL>", + hf_token: "<HUGGING_FACE_TOKEN>", + }, + }, + { title: "Other OpenAI-compatible API", class: "GGML", args: { |