diff --git a/patchwork/patchflows/AutoFix/AutoFix.py b/patchwork/patchflows/AutoFix/AutoFix.py index aa14a7fa..1d61f208 100644 --- a/patchwork/patchflows/AutoFix/AutoFix.py +++ b/patchwork/patchflows/AutoFix/AutoFix.py @@ -7,7 +7,7 @@ from patchwork.logger import logger from patchwork.step import Step from patchwork.steps import ( - CallOpenAI, + CallLLM, CommitChanges, CreatePR, ExtractCode, @@ -71,7 +71,7 @@ def run(self) -> dict: for i in range(self.n): outputs = PreparePrompt(self.inputs).run() self.inputs.update(outputs) - outputs = CallOpenAI(self.inputs).run() + outputs = CallLLM(self.inputs).run() self.inputs.update(outputs) outputs = ExtractModelResponse(self.inputs).run() self.inputs.update(outputs) diff --git a/patchwork/patchflows/AutoFix/defaults.yml b/patchwork/patchflows/AutoFix/defaults.yml index 25ecaabd..146a7fad 100644 --- a/patchwork/patchflows/AutoFix/defaults.yml +++ b/patchwork/patchflows/AutoFix/defaults.yml @@ -11,10 +11,11 @@ severity: unknown # PreparePrompt Inputs # prompt_template_file: your-prompt-template-here -# CallOpenAI Inputs -# openai_api_key: required -model: gpt-3.5-turbo -client_base_url: https://api.openai.com/v1 +# CallLLM Inputs +# openai_api_key: required-for-chatgpt +# google_api_key: required-for-gemini +# model: gpt-3.5-turbo +# client_base_url: https://api.openai.com/v1 # Example HF model # client_base_url: https://api-inference.huggingface.co/models/codellama/CodeLlama-70b-Instruct-hf/v1 # model: codellama/CodeLlama-70b-Instruct-hf diff --git a/patchwork/patchflows/DependencyUpgrade/DependencyUpgrade.py b/patchwork/patchflows/DependencyUpgrade/DependencyUpgrade.py index af92dbf4..49d6a370 100644 --- a/patchwork/patchflows/DependencyUpgrade/DependencyUpgrade.py +++ b/patchwork/patchflows/DependencyUpgrade/DependencyUpgrade.py @@ -7,7 +7,7 @@ from patchwork.step import Step from patchwork.steps import ( AnalyzeImpact, - CallOpenAI, + CallLLM, CommitChanges, CreatePR, ExtractDiff, @@ -76,7 +76,7 @@ def run(self) -> dict: analyze_inputs["response_partitions"] = {"impacted_methods": ["A. Impacted methods:", ""]} outputs = PreparePrompt(analyze_inputs).run() analyze_inputs.update(outputs) - outputs = CallOpenAI(analyze_inputs).run() + outputs = CallLLM(analyze_inputs).run() analyze_inputs.update(outputs) outputs = ExtractModelResponse(analyze_inputs).run() analyze_inputs.update(outputs) @@ -88,7 +88,7 @@ def run(self) -> dict: analyze_inputs["response_partitions"] = {"patch": []} outputs = PreparePrompt(analyze_inputs).run() analyze_inputs.update(outputs) - outputs = CallOpenAI(analyze_inputs).run() + outputs = CallLLM(analyze_inputs).run() analyze_inputs.update(outputs) outputs = ExtractModelResponse(analyze_inputs).run() analyze_inputs.update(outputs) @@ -99,7 +99,7 @@ def run(self) -> dict: self.inputs["response_partitions"] = {"patch": []} outputs = PreparePrompt(self.inputs).run() self.inputs.update(outputs) - outputs = CallOpenAI(self.inputs).run() + outputs = CallLLM(self.inputs).run() self.inputs.update(outputs) outputs = ExtractModelResponse(self.inputs).run() self.inputs.update(outputs) diff --git a/patchwork/patchflows/DependencyUpgrade/defaults.yml b/patchwork/patchflows/DependencyUpgrade/defaults.yml index f01be72d..cadfa1d6 100644 --- a/patchwork/patchflows/DependencyUpgrade/defaults.yml +++ b/patchwork/patchflows/DependencyUpgrade/defaults.yml @@ -1,10 +1,11 @@ # PreparePrompt Inputs # prompt_template_file: your-prompt-template-here -# CallOpenAI Inputs -# openai_api_key: required -model: gpt-3.5-turbo -client_base_url: https://api.openai.com/v1 +# CallLLM Inputs +# openai_api_key: required-for-chatgpt +# google_api_key: required-for-gemini +# model: gpt-3.5-turbo +# client_base_url: https://api.openai.com/v1 # Example HF model # client_base_url: https://api-inference.huggingface.co/models/codellama/CodeLlama-70b-Instruct-hf/v1 # model: codellama/CodeLlama-70b-Instruct-hf diff --git a/patchwork/patchflows/GenerateREADME/GenerateREADME.py b/patchwork/patchflows/GenerateREADME/GenerateREADME.py index 512ec449..8ef8ff34 100644 --- a/patchwork/patchflows/GenerateREADME/GenerateREADME.py +++ b/patchwork/patchflows/GenerateREADME/GenerateREADME.py @@ -5,7 +5,7 @@ from patchwork.step import Step from patchwork.steps import ( CallCode2Prompt, - CallOpenAI, + CallLLM, CommitChanges, CreatePR, ExtractModelResponse, @@ -47,7 +47,7 @@ def run(self) -> dict: self.inputs["response_partitions"] = {"patch": []} outputs = PreparePrompt(self.inputs).run() self.inputs.update(outputs) - outputs = CallOpenAI(self.inputs).run() + outputs = CallLLM(self.inputs).run() self.inputs.update(outputs) outputs = ExtractModelResponse(self.inputs).run() self.inputs.update(outputs) diff --git a/patchwork/patchflows/GenerateREADME/defaults.yml b/patchwork/patchflows/GenerateREADME/defaults.yml index a1a54f1e..d7e74bf6 100644 --- a/patchwork/patchflows/GenerateREADME/defaults.yml +++ b/patchwork/patchflows/GenerateREADME/defaults.yml @@ -1,10 +1,11 @@ # PreparePrompt Inputs # prompt_template_file: your-prompt-template-here -# CallOpenAI Inputs -# openai_api_key: required -model: gpt-3.5-turbo -client_base_url: https://api.openai.com/v1 +# CallLLM Inputs +# openai_api_key: required-for-chatgpt +# google_api_key: required-for-gemini +# model: gpt-3.5-turbo +# client_base_url: https://api.openai.com/v1 # Example HF model # client_base_url: https://api-inference.huggingface.co/models/codellama/CodeLlama-70b-Instruct-hf/v1 # model: codellama/CodeLlama-70b-Instruct-hf diff --git a/patchwork/patchflows/PRReview/PRReview.py b/patchwork/patchflows/PRReview/PRReview.py index ef6e364f..e5c78be6 100644 --- a/patchwork/patchflows/PRReview/PRReview.py +++ b/patchwork/patchflows/PRReview/PRReview.py @@ -4,7 +4,7 @@ from patchwork.step import Step from patchwork.steps import ( - CallOpenAI, + CallLLM, CreatePRComment, ExtractModelResponse, PreparePR, @@ -63,7 +63,7 @@ def run(self) -> dict: } outputs = PreparePrompt(self.inputs).run() self.inputs.update(outputs) - outputs = CallOpenAI(self.inputs).run() + outputs = CallLLM(self.inputs).run() self.inputs.update(outputs) outputs = ExtractModelResponse(self.inputs).run() self.inputs.update(outputs) @@ -87,7 +87,7 @@ def run(self) -> dict: outputs = PreparePrompt(self.inputs).run() self.inputs.update(outputs) - outputs = CallOpenAI(self.inputs).run() + outputs = CallLLM(self.inputs).run() self.inputs.update(outputs) header = self.inputs["openai_responses"][0] diff --git a/patchwork/patchflows/PRReview/defaults.yml b/patchwork/patchflows/PRReview/defaults.yml index 28830372..fa380a0e 100644 --- a/patchwork/patchflows/PRReview/defaults.yml +++ b/patchwork/patchflows/PRReview/defaults.yml @@ -11,10 +11,11 @@ diff_suggestion: false # PreparePrompt Inputs # prompt_template_file: your-prompt-template-here -# CallOpenAI Inputs -# openai_api_key: required -model: gpt-3.5-turbo -client_base_url: https://api.openai.com/v1 +# CallLLM Inputs +# openai_api_key: required-for-chatgpt +# google_api_key: required-for-gemini +# model: gpt-3.5-turbo +# client_base_url: https://api.openai.com/v1 # Example HF model # client_base_url: https://api-inference.huggingface.co/models/codellama/CodeLlama-70b-Instruct-hf/v1 # model: codellama/CodeLlama-70b-Instruct-hf diff --git a/patchwork/steps/CallLLM/CallLLM.py b/patchwork/steps/CallLLM/CallLLM.py new file mode 100644 index 00000000..43ff753a --- /dev/null +++ b/patchwork/steps/CallLLM/CallLLM.py @@ -0,0 +1,196 @@ +import json +import os +import tempfile +from pathlib import Path +from pprint import pformat +from textwrap import indent +from typing import Any, Protocol + +import requests +from openai import OpenAI + +from patchwork.logger import logger +from patchwork.step import Step + +_TOKEN_URL = "https://app.patched.codes/signin" +_DEFAULT_PATCH_URL = "https://patchwork.patched.codes/v1" + + +class LLMModel(Protocol): + def call(self, prompts) -> list[str]: + pass + + +class CallGemini(LLMModel): + _SAFETY_SETTINGS = [ + dict(category="HARM_CATEGORY_HATE_SPEECH", threshold="BLOCK_NONE"), + dict(category="HARM_CATEGORY_SEXUALLY_EXPLICIT", threshold="BLOCK_NONE"), + dict(category="HARM_CATEGORY_DANGEROUS_CONTENT", threshold="BLOCK_NONE"), + dict(category="HARM_CATEGORY_HARASSMENT", threshold="BLOCK_NONE"), + ] + + def __init__( + self, model: str, model_args: dict[str, Any], client_args: dict[str, Any], key: str, allow_truncated: bool + ): + client_values = client_args.copy() + + self.model = model + self.base_url = client_values.pop("base_url", "https://generativelanguage.googleapis.com/v1") + self.model_args = model_args + self.api_key = key + self.allow_truncated = allow_truncated + + def call(self, prompts): + contents = [] + for prompt in prompts: + texts = [dict(text=subprompt.get("content", "")) for subprompt in prompt] + + try: + response = requests.post( + f"{self.base_url}/models/{self.model}:generateContent", + params=dict(key=self.api_key), + json=dict( + generationConfig=self.model_args, + contents=[dict(parts=texts)], + safetySettings=self._SAFETY_SETTINGS + ) + ) + response.raise_for_status() + response_dict = response.json() + except Exception as e: + logger.error(e) + continue + + candidate = response_dict.get("candidates", [{}])[0] + text_response = candidate.get("content", {}).get("parts", [{}])[0].get("text", "") + if text_response == "": + logger.error(f"No response choice given") + content = "" + elif candidate.get("finishReason", "").upper() == "MAX_TOKENS": + if self.allow_truncated: + content = text_response + else: + logger.error( + f"Response truncated because of finish reason = length." + f" Use --allow_truncated option to process truncated responses." + ) + content = "" + else: + content = text_response + logger.debug(f"Response received: \n{indent(content, ' ')}") + + contents.append(content) + + return contents + + +class CallOpenAI(LLMModel): + def __init__( + self, model: str, model_args: dict[str, Any], client_args: dict[str, Any], key: str, allow_truncated: bool + ): + self.model = model + self.model_args = model_args + self.allow_truncated = allow_truncated + self.client = OpenAI(api_key=key, **client_args) + + def call(self, prompts) -> list[str]: + contents = [] + for prompt in prompts: + logger.debug(f"Message sent: \n{indent(pformat(prompt), ' ')}") + completion = self.client.chat.completions.create(model=self.model, messages=prompt, **self.model_args) + + if len(completion.choices) < 1: + logger.error(f"No response choice given") + content = "" + elif completion.choices[0].finish_reason == "length": + if self.allow_truncated: + content = completion.choices[0].message.content + else: + logger.error( + f"Response truncated because of finish reason = length." + f" Use --allow_truncated option to process truncated responses." + ) + content = "" + else: + content = completion.choices[0].message.content + logger.debug(f"Response received: \n{indent(content, ' ')}") + + contents.append(content) + + return contents + + +class CallLLM(Step): + required_keys = {"prompt_file"} + + def __init__(self, inputs: dict): + logger.info(f"Run started {self.__class__.__name__}") + + # Set 'openai_key' from inputs or environment if not already set + inputs.setdefault("openai_api_key", os.environ.get("OPENAI_API_KEY")) + + if not all(key in inputs.keys() for key in self.required_keys): + raise ValueError(f'Missing required data: "{self.required_keys}"') + + self.prompt_file = Path(inputs["prompt_file"]) + if not self.prompt_file.is_file(): + raise ValueError(f'Unable to find Prompt file: "{self.prompt_file}"') + try: + with open(self.prompt_file, "r") as fp: + json.load(fp) + except json.JSONDecodeError as e: + raise ValueError(f'Invalid Json Prompt file "{self.prompt_file}": {e}') + + self.model_args = {key[len("model_") :]: value for key, value in inputs.items() if key.startswith("model_")} + self.client_args = {key[len("client_") :]: value for key, value in inputs.items() if key.startswith("client_")} + + llm_key = inputs.get("openai_api_key") or os.environ.get("OPENAI_API_KEY") + + patched_key = inputs.get("patched_api_key") + if patched_key is not None: + llm_key = patched_key + self.client_args["base_url"] = _DEFAULT_PATCH_URL + + if llm_key is not None: + self.llm = CallOpenAI( + model=inputs.get("model", "gpt-3.5-turbo"), + model_args=self.model_args, + client_args=self.client_args, + key=llm_key, + allow_truncated=inputs.get("allow_truncated", False), + ) + return + + llm_key = inputs.get("google_api_key") + if llm_key is not None: + self.llm = CallGemini( + model=inputs.get("model", "gemini-1.0-pro"), + model_args=self.model_args, + client_args=self.client_args, + key=llm_key, + allow_truncated=inputs.get("allow_truncated", False), + ) + return + + raise ValueError( + f"Model API key not found.\n" + f'Please login at: "{_TOKEN_URL}",\n' + "Please go to the Integration's tab and generate an API key.\n" + "Please copy the access token that is generated, " + "and add `--patched_api_key=` to the command line.\n" + "\n" + "If you are using a OpenAI API Key, please set `--openai_api_key=`.\n" + ) + + def run(self) -> dict: + with open(self.prompt_file, "r") as fp: + prompts = json.load(fp) + + contents = self.llm.call(prompts) + + response_file = Path(tempfile.mktemp(".json")) + with open(response_file, "w") as outfile: + json.dump(contents, outfile, indent=2) + + logger.info(f"Run completed {self.__class__.__name__}") + return dict(new_code=response_file, openai_responses=contents) diff --git a/patchwork/steps/CallOpenAI/README.md b/patchwork/steps/CallLLM/README.md similarity index 100% rename from patchwork/steps/CallOpenAI/README.md rename to patchwork/steps/CallLLM/README.md diff --git a/patchwork/steps/CallOpenAI/__init__.py b/patchwork/steps/CallLLM/__init__.py similarity index 100% rename from patchwork/steps/CallOpenAI/__init__.py rename to patchwork/steps/CallLLM/__init__.py diff --git a/patchwork/steps/CallOpenAI/typed.py b/patchwork/steps/CallLLM/typed.py similarity index 91% rename from patchwork/steps/CallOpenAI/typed.py rename to patchwork/steps/CallLLM/typed.py index e35e1301..7bbb62f1 100644 --- a/patchwork/steps/CallOpenAI/typed.py +++ b/patchwork/steps/CallLLM/typed.py @@ -11,6 +11,7 @@ class CallOpenAIInputs(TypedDict): client_args: NotRequired[str] openai_api_key: NotRequired[str] patched_api_key: NotRequired[str] + google_api_key: NotRequired[str] class CallOpenAIOuputs(TypedDict): diff --git a/patchwork/steps/CallOpenAI/CallOpenAI.py b/patchwork/steps/CallOpenAI/CallOpenAI.py deleted file mode 100644 index 29c0d925..00000000 --- a/patchwork/steps/CallOpenAI/CallOpenAI.py +++ /dev/null @@ -1,101 +0,0 @@ -import json -import os -import tempfile -from pathlib import Path -from pprint import pformat -from textwrap import indent - -from openai import OpenAI - -from patchwork.logger import logger -from patchwork.step import Step - -_TOKEN_URL = "https://app.patched.codes/signin" -_DEFAULT_PATCH_URL = "https://patchwork.patched.codes/v1" - - -class CallOpenAI(Step): - required_keys = {"prompt_file"} - - def __init__(self, inputs: dict): - logger.info(f"Run started {self.__class__.__name__}") - - # Set 'openai_key' from inputs or environment if not already set - inputs.setdefault("openai_api_key", os.environ.get("OPENAI_API_KEY")) - - if not all(key in inputs.keys() for key in self.required_keys): - raise ValueError(f'Missing required data: "{self.required_keys}"') - - self.model = inputs["model"] - self.allow_trunctated = inputs.get("allow_truncated", False) - self.model_args = {key[len("model_") :]: value for key, value in inputs.items() if key.startswith("model_")} - self.client_args = {key[len("client_") :]: value for key, value in inputs.items() if key.startswith("client_")} - - openai_key = inputs.get("openai_api_key") or os.environ.get("OPENAI_API_KEY") - if openai_key is not None: - self.openai_api_key = openai_key - - patched_key = inputs.get("patched_api_key") - if patched_key is not None: - self.openai_api_key = patched_key - self.client_args["base_url"] = _DEFAULT_PATCH_URL - - if self.openai_api_key is None: - raise ValueError( - f"Model API key not found.\n" - f'Please login at: "{_TOKEN_URL}",\n' - "Please go to the Integration's tab and generate an API key.\n" - "Please copy the access token that is generated, " - "and add `--patched_api_key=` to the command line.\n" - "\n" - "If you are using a OpenAI API Key, please set `--openai_api_key=`.\n" - ) - - if not self.openai_api_key: - raise ValueError('Missing required data: "openai_api_key"') - - self.prompt_file = Path(inputs["prompt_file"]) - if not self.prompt_file.is_file(): - raise ValueError(f'Unable to find Prompt file: "{self.prompt_file}"') - try: - with open(self.prompt_file, "r") as fp: - json.load(fp) - except json.JSONDecodeError as e: - raise ValueError(f'Invalid Json Prompt file "{self.prompt_file}": {e}') - - def run(self) -> dict: - with open(self.prompt_file, "r") as fp: - prompts = json.load(fp) - - client_kwargs = self.client_args.copy() - client_kwargs.update(dict(api_key=self.openai_api_key)) - client = OpenAI(**client_kwargs) - - contents = [] - for prompt in prompts: - kwargs = self.model_args.copy() - kwargs.update(dict(messages=prompt)) - logger.debug(f"Message sent: \n{indent(pformat(prompt), ' ')}") - completion = client.chat.completions.create(model=self.model, **kwargs) - - if len(completion.choices) < 1: - logger.error(f"No response choice given") - contents.append("") - elif completion.choices[0].finish_reason == "length": - if self.allow_trunctated: - contents.append(completion.choices[0].message.content) - else: - logger.error( - f"Response truncated because of finish reason = length. Use --allow_truncated option to process truncated responses." - ) - contents.append("") - else: - logger.debug(f"Response received: \n{indent(completion.choices[0].message.content, ' ')}") - contents.append(completion.choices[0].message.content) - - response_file = Path(tempfile.mktemp(".json")) - with open(response_file, "w") as outfile: - json.dump(contents, outfile, indent=2) - - logger.info(f"Run completed {self.__class__.__name__}") - return dict(new_code=response_file, openai_responses=contents) diff --git a/patchwork/steps/__init__.py b/patchwork/steps/__init__.py index 015d5d3a..62ce26fd 100644 --- a/patchwork/steps/__init__.py +++ b/patchwork/steps/__init__.py @@ -1,6 +1,6 @@ from patchwork.steps.AnalyzeImpact.AnalyzeImpact import AnalyzeImpact from patchwork.steps.CallCode2Prompt.CallCode2Prompt import CallCode2Prompt -from patchwork.steps.CallOpenAI.CallOpenAI import CallOpenAI +from patchwork.steps.CallLLM.CallLLM import CallLLM from patchwork.steps.CommitChanges.CommitChanges import CommitChanges from patchwork.steps.CreateIssueComment.CreateIssueComment import CreateIssueComment from patchwork.steps.CreatePR.CreatePR import CreatePR @@ -29,7 +29,7 @@ __all__ = [ "AnalyzeImpact", "CallCode2Prompt", - "CallOpenAI", + "CallLLM", "CommitChanges", "CreatePR", "CreatePRComment", diff --git a/poetry.lock b/poetry.lock index 943bb78c..850e793c 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1762,69 +1762,61 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"] [[package]] name = "grpcio" -version = "1.62.2" +version = "1.63.0" description = "HTTP/2-based RPC framework" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "grpcio-1.62.2-cp310-cp310-linux_armv7l.whl", hash = "sha256:66344ea741124c38588a664237ac2fa16dfd226964cca23ddc96bd4accccbde5"}, - {file = "grpcio-1.62.2-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:5dab7ac2c1e7cb6179c6bfad6b63174851102cbe0682294e6b1d6f0981ad7138"}, 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