diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000..0751498 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,28 @@ +**/__pycache__ +**/venv +**/.venv +**/.classpath +**/.dockerignore +**/.env +**/.git +**/.gitignore +**/.project +**/.settings +**/.toolstarget +**/.vs +**/.vscode +**/*.*proj.user +**/*.dbmdl +**/*.jfm +**/bin +**/charts +**/docker-compose* +**/compose* +**/Dockerfile* +**/node_modules +**/npm-debug.log +**/obj +**/secrets.dev.yaml +**/values.dev.yaml +LICENSE +README.md \ No newline at end of file diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..2280540 --- /dev/null +++ b/.env.example @@ -0,0 +1,2 @@ +LOG_LEVEL=DEBUG +OPENAI_API_BASE=http://localhost:5000 \ No newline at end of file diff --git a/.flake8 b/.flake8 new file mode 100644 index 0000000..6fcf8fa --- /dev/null +++ b/.flake8 @@ -0,0 +1,12 @@ +[flake8] +# E501 string literal is too long +# W503 line break before binary operator +# E203 whitespace before ':' (triggered on list slices like xs[i : i + 5]) +ignore = E501, W503, E203 +exclude = + .tmp, + .venv, + .conda, + .nox, + .pytest_cache, + __pycache__, diff --git a/.github/pr-title-checker-config.json b/.github/pr-title-checker-config.json new file mode 100644 index 0000000..2de82f5 --- /dev/null +++ b/.github/pr-title-checker-config.json @@ -0,0 +1,14 @@ +{ + "LABEL": { + "name": "", + "color": "EEEEEE" + }, + "CHECKS": { + "prefixes": ["fix: ", "feat: ", "feature: ", "chore: ", "hotfix: "] + }, + "MESSAGES": { + "success": "All OK", + "failure": "Missing prefix", + "notice": "" + } +} \ No newline at end of file diff --git a/.github/workflows/pr_check_tests.yml b/.github/workflows/pr_check_tests.yml new file mode 100644 index 0000000..4e0d8b7 --- /dev/null +++ b/.github/workflows/pr_check_tests.yml @@ -0,0 +1,15 @@ +name: Code checks - tests + +on: + pull_request: + branches: + - development + - release-* + +jobs: + run_tests: + uses: epam/ai-dial-ci/.github/workflows/test_python_docker.yml@0.1.0 + with: + bypass_checks: false + python_version: 3.11 + secrets: inherit \ No newline at end of file diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml new file mode 100644 index 0000000..5125311 --- /dev/null +++ b/.github/workflows/release.yml @@ -0,0 +1,13 @@ +name: Release version + +on: + push: + branches: [ development, release-* ] + +env: + IMAGE_NAME: ${{ github.repository }} + +jobs: + release: + uses: epam/ai-dial-ci/.github/workflows/publish_python_docker.yml@0.1.0 + secrets: inherit \ No newline at end of file diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..1a6da00 --- /dev/null +++ b/.gitignore @@ -0,0 +1,18 @@ +**/node_modules/ +*.egg-info +.DS_Store +__pycache__ +.vs/ +.gradle/ +.idea/ +*.suo +*.user +*.nupkg +*.dll +obj/ +bin/ +build/ +out/ +.tmp +.env +~* \ No newline at end of file diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100644 index 0000000..34c61f4 --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,17 @@ +{ + // Use IntelliSense to learn about possible attributes. + // Hover to view descriptions of existing attributes. + // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 + "version": "0.2.0", + "configurations": [ + { + "name": "Python: Current File", + "type": "python", + "request": "launch", + "program": "${file}", + "console": "integratedTerminal", + "cwd": "${workspaceFolder}", + "justMyCode": false + } + ] +} diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000..d42a66d --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,26 @@ +{ + "editor.formatOnSave": true, + "python.analysis.typeCheckingMode": "basic", + "cSpell.enabled": true, + "files.exclude": { + "**/.git": true, + "**/.svn": true, + "**/.hg": true, + "**/CVS": true, + "**/.DS_Store": true, + "**/Thumbs.db": true, + "**/__pycache__": true, + "**/.pytest_cache": true, + "**/.gradle": true, + "**/bin": true, + "**/build": true, + ".idea": true, + ".venv": true + }, + "[python]": { + "editor.defaultFormatter": "ms-python.black-formatter", + "editor.codeActionsOnSave": { + "source.organizeImports": true + } + } +} diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..0c0721f --- /dev/null +++ b/Dockerfile @@ -0,0 +1,53 @@ +# For more information, please refer to https://aka.ms/vscode-docker-python +FROM python:3.11-alpine AS builder + +ARG POETRY_VERSION=1.6.1 + +# Install alpine-sdk to compile some langchain dependencies (numexpr, numpy) +RUN apk add --no-cache alpine-sdk + +RUN pip install --upgrade pip +RUN pip install poetry==$POETRY_VERSION + +# Test if Poetry is installed in the expected path +RUN echo "Poetry version:" && poetry --version + +# Set the working directory for the app +WORKDIR /app +COPY pyproject.toml poetry.lock poetry.toml ./ + +# Install dependencies +RUN poetry install --no-interaction --no-ansi --only main + +COPY aidial_assistant/ ./aidial_assistant/ +COPY wolfram/ ./wolfram/ + +# Use a multi-stage build to run the server +FROM python:3.11-alpine + +# Keeps Python from generating .pyc files in the container +ENV PYTHONDONTWRITEBYTECODE=1 + +# Turns off buffering for easier container logging +ENV PYTHONUNBUFFERED=1 + +ENV LOG_LEVEL=INFO + +# Install libstdc++ to run the compiled dependencies +RUN apk add --no-cache libstdc++ + +# Create a non-root user with an explicit UID +# For more info, please refer to https://aka.ms/vscode-docker-python-configure-containers +RUN adduser -u 1001 --disabled-password --gecos "" appuser +# Copy and add permission to access the /app folder +COPY --chown=appuser --from=builder /app /app +WORKDIR /app + +# "Activate" the virtual environment +ENV PATH=/app/.venv/bin:$PATH + +# During debugging, this entry point will be overridden. For more information, please refer to https://aka.ms/vscode-docker-python-debug +EXPOSE 5000 + +USER appuser +CMD ["uvicorn", "aidial_assistant.app:app", "--host", "0.0.0.0", "--port", "5000", "--workers", "10"] diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..b102a1a --- /dev/null +++ b/LICENSE @@ -0,0 +1,202 @@ + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2023 EPAM Systems. + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. \ No newline at end of file diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..0dc95b8 --- /dev/null +++ b/Makefile @@ -0,0 +1,48 @@ +PORT ?= 5000 +IMAGE_NAME ?= ai-dial-assistant +PLATFORM ?= linux/amd64 +ARGS= + +.PHONY: all install build serve docker_serve clean lint format test + +all: build + +install: + poetry install + +build: install + poetry build + +serve: install + poetry run python debug_server.py --port=$(PORT) + +docker_serve: + docker build --platform $(PLATFORM) -t $(IMAGE_NAME):latest . + docker run --platform $(PLATFORM) --env-file ./.env --rm -p $(PORT):5000 $(IMAGE_NAME):latest + +clean: + poetry run clean + poetry env remove --all + +lint: install + poetry run nox -s lint + +format: install + poetry run nox -s format + +# Run `make test ARGS="-v --durations=0 -rA"` to see stderr/stdout of each test. +test: install + poetry run nox -s test -- $(ARGS) + +help: + @echo "====================" + @echo "build - build the source and wheels archives" + @echo "clean - clean virtual env and build artifacts" + @echo "-- LINTING --" + @echo "format - run code formatters" + @echo "lint - run linters" + @echo "-- RUN --" + @echo "serve - run the dev server locally" + @echo "docker_serve - run the dev server from the docker" + @echo "-- TESTS --" + @echo "test - run unit tests" diff --git a/README.md b/README.md new file mode 100644 index 0000000..88e15e8 --- /dev/null +++ b/README.md @@ -0,0 +1,121 @@ +## Overview + +The DIAL Assistant Service is designed to respond to user queries, like ChatGPT. It is accessible via [DIAL API](https://epam-rail.com/dial_api). +The service’s distinctive feature is its ability to utilize addons provided in the user request, enhancing its +capability to gather and process information. Upon receiving a user request, the service employs the specified LLM to +interpret and respond to the inquiry. Along with user request it instructs the model on how to apply the provided addons +to garner additional information. If the model decides to use an addon to seek specific details, the Assistant Service +promptly executes this task and channels the acquired data back to the model. This iterative procedure continues, with +the model leveraging the addons to assemble more information until a thorough and informed response to the user’s query +is generated. In essence, the DIAL Assistant Service is a versatile tool that combines the power of a given model with +the extended capabilities of various addons to deliver comprehensive and accurate answers. + +## Usage example + +```python +import os +import typing + +import openai + +if __name__ == "__main__": + response: typing.Iterable[typing.Any] = openai.ChatCompletion.create( + api_base="https://", + api_type="azure", + api_version="2023-03-15-preview", + api_key=os.environ["RAIL_PROXY_API_KEY"], + engine="assistant", + model="gpt-4", + temperature=0, + timeout=300, + messages=[ + {"role": "user", "content": "What's up?"}, + ], + addons=[ + { + "url": "https:///.well-known/ai-plugin.json" + } + ], + ) + + print(response) +``` + + +## Developer environment + +This project uses [Python>=3.11](https://www.python.org/downloads/) and [Poetry>=1.6.1](https://python-poetry.org/) as a dependency manager. + +Check out Poetry's [documentation on how to install it](https://python-poetry.org/docs/#installation) on your system before proceeding. + +To install requirements: + +``` +poetry install +``` + +This will install all requirements for running the package, linting, formatting and tests. + +## Build + +To install the package dependencies and create a virtual environment run: + +```sh +make install +``` + +## Run + +Run the development server: + +```sh +make serve +``` + +## Environment Variables + +Copy .env.example to .env and customize it for your environment: + +| Variable | Default | Description | +|------------------|--------------------------|--------------------------------------------------------| +| LOG_LEVEL | INFO | Log level. Use DEBUG for dev purposes and INFO in prod | +| CONFIG_DIR | aidial_assistant/configs | Configurations directory | +| OPENAPI_API_BASE | N/A | OpenAI API Base | + +### Docker + +Run the server in Docker: + +```sh +make docker_serve +``` + +## Lint + +Run the linting before committing: + +```sh +make lint +``` + +To auto-fix formatting issues run: + +```sh +make format +``` + +## Test + +Run unit tests locally: + +```sh +make test +``` + +## Clean + +To remove the virtual environment and build artifacts: + +```sh +make clean +``` diff --git a/aidial_assistant/__init__.py b/aidial_assistant/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/aidial_assistant/app.py b/aidial_assistant/app.py new file mode 100644 index 0000000..e317a79 --- /dev/null +++ b/aidial_assistant/app.py @@ -0,0 +1,53 @@ +#!/usr/bin/env python3 +import logging.config +import os +from pathlib import Path + +from aidial_sdk import DIALApp +from starlette.responses import FileResponse, Response + +from aidial_assistant.application.assistant_application import ( + AssistantApplication, +) + +# Get the log level from the environment variable +log_level = os.getenv("LOG_LEVEL") or "INFO" + +config_dir = Path(os.getenv("CONFIG_DIR") or "aidial_assistant/configs") + +# Load the logging configuration +logging.config.dictConfig( + { + "version": 1, + "disable_existing_loggers": False, + "formatters": { + "default": { + "format": "%(levelname)s: %(asctime)s %(name)s - %(message)s", + "datefmt": "%Y-%m-%d %H:%M:%S", + "use_colors": True, + }, + }, + "handlers": { + "console": { + "formatter": "default", + "class": "logging.StreamHandler", + }, + }, + "root": { + "handlers": ["console"], + "level": log_level, + }, + } +) +app = DIALApp() +app.add_chat_completion("assistant", AssistantApplication(config_dir)) + + +@app.get("/healthcheck/status200") +def status200() -> Response: + return Response("Service is running...", status_code=200) + + +@app.get("/{plugin}/.well-known/{filename}") +def read_file(plugin: str, filename: str): + return FileResponse(f"{plugin}/.well-known/{filename}") diff --git a/aidial_assistant/application/__init__.py b/aidial_assistant/application/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/aidial_assistant/application/args.py b/aidial_assistant/application/args.py new file mode 100644 index 0000000..35d9d29 --- /dev/null +++ b/aidial_assistant/application/args.py @@ -0,0 +1,55 @@ +import argparse +from pathlib import Path +from typing import NamedTuple + +from aidial_assistant.application.project_conf import ( + ChatConf, + OpenAIConf, + read_conf, +) + + +class Args(NamedTuple): + chat_conf: ChatConf + openai_conf: OpenAIConf + + +def add_yaml_conf( + parser: argparse.ArgumentParser, name: str, default: str, help: str +): + parser.add_argument( + name, + type=str, + metavar="YAML", + default=default, + help=help + f" (default: {default})", + ) + + +def parse_args(config_dir: Path) -> Args: + parser = argparse.ArgumentParser() + + add_yaml_conf( + parser, + "--chat-conf", + default=str(config_dir / "chat.yaml"), + help="Path to chat configuration file", + ) + add_yaml_conf( + parser, + "--openai-conf", + default=str(config_dir / "open_ai.yaml"), + help="Path to OpenIA configuration file", + ) + + parsed_args, _ = parser.parse_known_args() + + chat_conf = read_conf(ChatConf, Path(parsed_args.chat_conf)) + openai_conf = read_conf(OpenAIConf, Path(parsed_args.openai_conf)) + + args = Args( + chat_conf=chat_conf, + openai_conf=openai_conf, + ) + + return args diff --git a/aidial_assistant/application/assistant_application.py b/aidial_assistant/application/assistant_application.py new file mode 100644 index 0000000..40f7811 --- /dev/null +++ b/aidial_assistant/application/assistant_application.py @@ -0,0 +1,104 @@ +from pathlib import Path + +from aidial_sdk.chat_completion.base import ChatCompletion +from aidial_sdk.chat_completion.request import Addon, Request +from aidial_sdk.chat_completion.response import Response +from aiohttp import hdrs +from openai import InvalidRequestError + +from aidial_assistant.application.args import parse_args +from aidial_assistant.application.prompts import RESP_DIALOG_PROMPT +from aidial_assistant.application.server_callback import ServerChainCallback +from aidial_assistant.chain.command_chain import CommandChain +from aidial_assistant.chain.execution_context import ( + CommandDict, + ExecutionContext, +) +from aidial_assistant.chain.model_client import ModelClient +from aidial_assistant.commands.reply import Reply +from aidial_assistant.commands.run_plugin import RunPlugin +from aidial_assistant.utils.open_ai_plugin import ( + AddonTokenSource, + OpenAIPluginInfo, + get_open_ai_plugin_info, +) +from aidial_assistant.utils.state import parse_history + + +def get_request_args(request: Request) -> dict[str, str]: + args = { + "model": request.model, + "temperature": request.temperature, + "api_version": request.api_version, + "api_key": request.api_key, + "user": request.user, + "headers": None + if request.jwt is None + else {hdrs.AUTHORIZATION: request.jwt}, + } + + return {k: v for k, v in args.items() if v is not None} + + +def _extract_addon_url(addon: Addon) -> str: + if addon.url is None: + raise InvalidRequestError("Missing required addon url.", param="") + + return addon.url + + +class AssistantApplication(ChatCompletion): + def __init__(self, config_dir: Path): + self.args = parse_args(config_dir) + + async def chat_completion( + self, request: Request, response: Response + ) -> None: + chat_args = self.args.openai_conf.dict() | get_request_args(request) + + model = ModelClient( + model_args=chat_args + | { + "deployment_id": chat_args["model"], + "api_type": "azure", + "stream": True, + }, + buffer_size=self.args.chat_conf.buffer_size, + ) + + addons = ( + [_extract_addon_url(addon) for addon in request.addons] + if request.addons + else [] + ) + token_source = AddonTokenSource(request.headers, addons) + + tools: dict[str, OpenAIPluginInfo] = {} + plugin_descriptions: dict[str, str] = {} + for addon in addons: + info = await get_open_ai_plugin_info(addon, token_source) + tools[info.ai_plugin.name_for_model] = info + plugin_descriptions[info.ai_plugin.name_for_model] = ( + info.open_api.info.description + or info.ai_plugin.description_for_human + ) + + command_dict: CommandDict = { + RunPlugin.token(): lambda: RunPlugin(model, tools), + Reply.token(): Reply, + } + + history = parse_history( + request.messages, + plugin_descriptions, + ) + chain = CommandChain( + model_client=model, + name="SERVER", + resp_prompt=RESP_DIALOG_PROMPT, + ctx=ExecutionContext(command_dict), + ) + with response.create_single_choice() as choice: + callback = ServerChainCallback(choice) + await chain.run_chat(history, callback) + choice.set_state(callback.state) diff --git a/aidial_assistant/application/project_conf.py b/aidial_assistant/application/project_conf.py new file mode 100644 index 0000000..9af3b8e --- /dev/null +++ b/aidial_assistant/application/project_conf.py @@ -0,0 +1,26 @@ +from pathlib import Path +from typing import Type, TypeVar + +import yaml +from pydantic import BaseModel, PositiveInt, parse_obj_as + +from aidial_assistant.utils.yaml_loader import Loader + + +class OpenAIConf(BaseModel): + model: str + temperature: float + request_timeout: int + api_base: str + + +class ChatConf(BaseModel): + buffer_size: PositiveInt + + +T = TypeVar("T") + + +def read_conf(type_: Type[T], path: Path) -> T: + data = yaml.load(path.open(), Loader=Loader) + return parse_obj_as(type_, data) diff --git a/aidial_assistant/application/prompts.py b/aidial_assistant/application/prompts.py new file mode 100644 index 0000000..778e5e1 --- /dev/null +++ b/aidial_assistant/application/prompts.py @@ -0,0 +1,123 @@ +from datetime import datetime + +from jinja2 import Environment, Template + +from aidial_assistant.utils.text import decapitalize + +JINJA2_ENV = Environment() +JINJA2_ENV.filters["decap"] = decapitalize + + +class DateAwareTemplate(Template): + def render(self, *args, **kwargs): + # Compute today's date in the format "DD Mmm YYYY" + today = datetime.now().strftime("%d %b %Y") + return super().render(*args, **kwargs, today_date=today) + + +request_response = """ +ALWAYS reply with a JSON containing an array of available commands. You must not use natural language: +{ + "commands": [ + { + "command": "", + "args": [ + + ] + } + ] +} + +Example: +{"commands": [{"command": "reply", "args": ["Hello, world!"]}]} +""".strip() + +system_template = """ +Today's date is {{today_date}}. + +{%- if system_prefix %} +{{system_prefix}} +{%- endif %} + +Protocol +The following commands are available to reply to user or find out the answer to the user's question: +{%- if tools %} +> run-plugin +The command runs a specified plugin to solve a one-shot task written in natural language. +Plugins do not see current conversation and require all details to be provided in the query to solve the task. +The command returns the result of the plugin call. +Arguments: + - NAME is one of the following plugins: +{%- for name, description in tools.items() %} + * {{name}} - {{description | decap}} +{%- endfor %} + - QUERY is a string formulating the query to the plugin. +{%- endif %} +> reply +The command delivers ultimate result to the user. +Arguments: + - MESSAGE is a string containing response for user. + +{{request_response}} +""".strip() + +plugin_system_template = """ +Today's date is {{today_date}}. + +Service +API_DESCRIPTION: +{{api_description}} + +API_SCHEMA: +```typescript +{{api_schema}}} +``` + +Protocol +The following commands are available to reply to user or find out the answer to the user's question: +{%- for command_name in command_names %} +> {{command_name}} +Arguments: + - +{%- endfor %} +> reply +The command delivers ultimate result to the user +Arguments: + - MESSAGE is a string containing response for user. + +{{request_response}} +""".strip() + +resp_template = """ +{{response}} +**Remember to reply with a JSON with commands** +""".strip() + +open_api_plugin_template = """ +Service +API_DESCRIPTION: +{{api_description}} + +API_SCHEMA: +```typescript +{{api_schema}}} +``` +""".strip() + +MAIN_SYSTEM_DIALOG_MESSAGE = JINJA2_ENV.from_string( + system_template, + globals={ + "request_response": request_response, + }, + template_class=DateAwareTemplate, +) + +PLUGIN_SYSTEM_DIALOG_MESSAGE = JINJA2_ENV.from_string( + plugin_system_template, + globals={ + "request_response": request_response, + }, + template_class=DateAwareTemplate, +) + +RESP_DIALOG_PROMPT = JINJA2_ENV.from_string(resp_template) diff --git a/aidial_assistant/application/server_callback.py b/aidial_assistant/application/server_callback.py new file mode 100644 index 0000000..744f9be --- /dev/null +++ b/aidial_assistant/application/server_callback.py @@ -0,0 +1,138 @@ +from types import TracebackType +from typing import Callable + +from aidial_sdk.chat_completion.choice import Choice +from aidial_sdk.chat_completion.stage import Stage +from typing_extensions import override + +from aidial_assistant.chain.callbacks.arg_callback import ArgCallback +from aidial_assistant.chain.callbacks.args_callback import ArgsCallback +from aidial_assistant.chain.callbacks.chain_callback import ChainCallback +from aidial_assistant.chain.callbacks.command_callback import CommandCallback +from aidial_assistant.chain.callbacks.result_callback import ResultCallback +from aidial_assistant.commands.base import ExecutionCallback, ResultObject +from aidial_assistant.commands.run_plugin import RunPlugin +from aidial_assistant.utils.state import StateField + + +class PluginNameArgCallback(ArgCallback): + def __init__(self, callback: Callable[[str], None]): + super().__init__(0, callback) + + @override + def on_arg(self, token: str): + token = token.replace('"', "") + if len(token) > 0: + self.callback(token) + + @override + def on_arg_end(self): + self.callback("(") + + +class RunPluginArgsCallback(ArgsCallback): + def __init__(self, callback: Callable[[str], None]): + super().__init__(callback) + + @override + def on_args_start(self): + pass + + @override + def arg_callback(self) -> ArgCallback: + self.arg_index += 1 + if self.arg_index == 0: + return PluginNameArgCallback(self.callback) + else: + return ArgCallback(self.arg_index - 1, self.callback) + + +class ServerCommandCallback(CommandCallback): + def __init__(self, stage: Stage): + self.stage = stage + self._args_callback = ArgsCallback(self._on_stage_name) + + @override + def on_command(self, command: str): + if command == RunPlugin.token(): + self._args_callback = RunPluginArgsCallback(self._on_stage_name) + else: + self._on_stage_name(command) + + @override + def execution_callback(self) -> ExecutionCallback: + return ExecutionCallback(self._on_stage_content) + + @override + def args_callback(self) -> ArgsCallback: + return self._args_callback + + @override + def on_result(self, result: ResultObject): + # Result reported by plugin + pass + + @override + def on_error(self, error: BaseException): + self.stage.append_content(f"\n{str(error)}") + + def _on_stage_name(self, token: str): + self.stage.append_name(token) + + def _on_stage_content(self, token: str): + self.stage.append_content(token) + + def __enter__(self): + self.stage.__enter__() + return self + + @override + def __exit__( + self, + __exc_type: type[BaseException] | None, + __exc_value: BaseException | None, + __traceback: TracebackType | None, + ): + if __exc_value is not None: + self.on_error(__exc_value) + + self.stage.__exit__(__exc_type, __exc_value, __traceback) + + +class ServerResultCallback(ResultCallback): + def __init__(self, choice: Choice): + self.choice = choice + + def on_result(self, token): + self.choice.append_content(token) + + +class ServerChainCallback(ChainCallback): + def __init__(self, choice: Choice): + self.choice = choice + self.state = {StateField.INVOCATIONS: []} + self._invocation_index: int = -1 + + @override + def command_callback(self) -> CommandCallback: + return ServerCommandCallback(self.choice.create_stage()) + + @override + def on_state(self, request: str, response: str): + self._invocation_index += 1 + self.state[StateField.INVOCATIONS].append( + { + StateField.INDEX: self._invocation_index, + StateField.REQUEST: request, + StateField.RESPONSE: response, + }, + ) + + @override + def result_callback(self) -> ResultCallback: + return ServerResultCallback(self.choice) + + @override + def on_error(self, title: str, error: Exception): + with self.choice.create_stage(title) as stage: + stage.append_content(f"Error: {str(error)}\n") diff --git a/aidial_assistant/chain/__init__.py b/aidial_assistant/chain/__init__.py new file mode 100644 index 0000000..eea436a --- /dev/null +++ b/aidial_assistant/chain/__init__.py @@ -0,0 +1,3 @@ +import logging + +logger = logging.getLogger(__name__) diff --git a/aidial_assistant/chain/callbacks/__init__.py b/aidial_assistant/chain/callbacks/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/aidial_assistant/chain/callbacks/arg_callback.py b/aidial_assistant/chain/callbacks/arg_callback.py new file mode 100644 index 0000000..990a7d0 --- /dev/null +++ b/aidial_assistant/chain/callbacks/arg_callback.py @@ -0,0 +1,21 @@ +from typing import Callable + + +class ArgCallback: + """Callback for reporting arguments""" + + def __init__(self, arg_index: int, callback: Callable[[str], None]): + self.arg_index = arg_index + self.callback = callback + + def on_arg_start(self): + """Called when the arg starts""" + if self.arg_index > 0: + self.callback(", ") + + def on_arg(self, token: str): + """Called when an argument token is read""" + self.callback(token) + + def on_arg_end(self): + """Called when the arg ends""" diff --git a/aidial_assistant/chain/callbacks/args_callback.py b/aidial_assistant/chain/callbacks/args_callback.py new file mode 100644 index 0000000..ca5b59f --- /dev/null +++ b/aidial_assistant/chain/callbacks/args_callback.py @@ -0,0 +1,24 @@ +from typing import Callable + +from aidial_assistant.chain.callbacks.arg_callback import ArgCallback + + +class ArgsCallback: + """Callback for reporting arguments""" + + def __init__(self, callback: Callable[[str], None]): + self.callback = callback + self.arg_index = -1 + + def on_args_start(self): + """Called when the arguments start""" + self.callback("(") + + def arg_callback(self) -> ArgCallback: + """Returns a callback for reporting an argument""" + self.arg_index += 1 + return ArgCallback(self.arg_index, self.callback) + + def on_args_end(self): + """Called when the arguments end""" + self.callback(")") diff --git a/aidial_assistant/chain/callbacks/chain_callback.py b/aidial_assistant/chain/callbacks/chain_callback.py new file mode 100644 index 0000000..6276300 --- /dev/null +++ b/aidial_assistant/chain/callbacks/chain_callback.py @@ -0,0 +1,24 @@ +from abc import ABC, abstractmethod + +from aidial_assistant.chain.callbacks.command_callback import CommandCallback +from aidial_assistant.chain.callbacks.result_callback import ResultCallback + + +class ChainCallback(ABC): + """Callback for reporting command chain""" + + @abstractmethod + def command_callback(self) -> CommandCallback: + """Returns a callback for reporting a command""" + + @abstractmethod + def on_state(self, request: str, response: str): + """Report an AI message""" + + @abstractmethod + def result_callback(self) -> ResultCallback: + """Returns a callback for reporting a result""" + + @abstractmethod + def on_error(self, title: str, error: Exception): + """Called when an error occurs""" diff --git a/aidial_assistant/chain/callbacks/command_callback.py b/aidial_assistant/chain/callbacks/command_callback.py new file mode 100644 index 0000000..53efbd8 --- /dev/null +++ b/aidial_assistant/chain/callbacks/command_callback.py @@ -0,0 +1,29 @@ +from abc import abstractmethod +from typing import ContextManager + +from aidial_assistant.chain.callbacks.args_callback import ArgsCallback +from aidial_assistant.commands.base import ExecutionCallback, ResultObject + + +class CommandCallback(ContextManager): + """Callback for reporting a command""" + + @abstractmethod + def on_command(self, command: str): + """Called when a command is read""" + + @abstractmethod + def args_callback(self) -> ArgsCallback: + """Returns a callback for reporting arguments""" + + @abstractmethod + def execution_callback(self) -> ExecutionCallback: + """Returns a callback for reporting execution""" + + @abstractmethod + def on_result(self, result: ResultObject): + """Called when a result is read""" + + @abstractmethod + def on_error(self, error: BaseException): + """Called when an error occurs""" diff --git a/aidial_assistant/chain/callbacks/result_callback.py b/aidial_assistant/chain/callbacks/result_callback.py new file mode 100644 index 0000000..93aec7f --- /dev/null +++ b/aidial_assistant/chain/callbacks/result_callback.py @@ -0,0 +1,5 @@ +class ResultCallback: + """Callback for reporting a result""" + + def on_result(self, token): + """Called when a result token is read""" diff --git a/aidial_assistant/chain/command_chain.py b/aidial_assistant/chain/command_chain.py new file mode 100644 index 0000000..ad3c9a8 --- /dev/null +++ b/aidial_assistant/chain/command_chain.py @@ -0,0 +1,243 @@ +import json +from typing import Any, AsyncIterator, List + +from aidial_sdk.chat_completion.request import Message, Role +from jinja2 import Template + +from aidial_assistant.chain import logger +from aidial_assistant.chain.callbacks.chain_callback import ChainCallback +from aidial_assistant.chain.callbacks.command_callback import CommandCallback +from aidial_assistant.chain.callbacks.result_callback import ResultCallback +from aidial_assistant.chain.command_result import ( + CommandResult, + Status, + responses_to_text, +) +from aidial_assistant.chain.execution_context import ExecutionContext +from aidial_assistant.chain.model_client import ModelClient +from aidial_assistant.chain.model_response_reader import ( + AssistantProtocolException, + CommandsReader, +) +from aidial_assistant.commands.base import Command, FinalCommand +from aidial_assistant.json_stream.json_node import ( + JsonNode, + JsonParsingException, +) +from aidial_assistant.json_stream.json_object import JsonObject +from aidial_assistant.json_stream.json_parser import JsonParser +from aidial_assistant.json_stream.json_string import JsonString +from aidial_assistant.json_stream.tokenator import AsyncPeekable, Tokenator + +MAX_MESSAGE_COUNT = 20 +MAX_RETRY_COUNT = 2 + + +class BufferedStream(AsyncIterator[str]): + def __init__(self, stream: AsyncIterator[str]): + self.stream = stream + self.buffer = "" + + def __aiter__(self): + return self + + async def __anext__(self) -> str: + chunk = await anext(self.stream) + self.buffer += chunk + return chunk + + +class CommandChain: + def __init__( + self, + name: str, + model_client: ModelClient, + resp_prompt: Template, + ctx: ExecutionContext, + ): + self.model_client = model_client + self.ctx = ctx + self.resp_prompt = resp_prompt + self.name = name + + def _log_message(self, role: Role, content: str | None): + logger.debug(f"[{self.name}] {role.value}: {content or ''}") + + async def run_chat( + self, history: List[Message], callback: ChainCallback + ) -> str: + for message in history[:-1]: + self._log_message(message.role, message.content) + + retry_count = 0 + for _ in range(MAX_MESSAGE_COUNT): + token_stream = BufferedStream( + self.model_client.agenerate( + self._reinforce_last_message(history) + ) + ) + tokenator = Tokenator(token_stream) + await CommandChain._skip_text(tokenator) + try: + commands: list[dict[str, Any]] = [] + responses: list[CommandResult] = [] + async with JsonParser.parse(tokenator) as root_node: + request_reader = CommandsReader(root_node) + async for invocation in request_reader.parse_invocations(): + command_name = await invocation.parse_name() + command = self.ctx.create_command(command_name) + args = invocation.parse_args() + if isinstance(command, FinalCommand): + if len(responses) > 0: + continue + arg = await anext(args) + result = await CommandChain._to_result( + arg if isinstance(arg, JsonString) else arg.to_string_tokens(), # type: ignore + # Some relatively large number to avoid CxSAST warning about potential DoS attack. + # Later, the upper limit will be provided by the DIAL Core (proxy). + 32000, + callback.result_callback(), + ) + self._log_message( + Role.ASSISTANT, json.dumps(root_node.value()) + ) + return result + else: + response = await CommandChain._execute_command( + command_name, command, args, callback + ) + + commands.append(invocation.node.value()) + responses.append(response) + + if len(responses) == 0: + # Assume the model has nothing to say + self._log_message( + Role.ASSISTANT, json.dumps(root_node.value()) + ) + return "" + + normalized_model_response = json.dumps({"commands": commands}) + history.append( + Message( + role=Role.ASSISTANT, content=normalized_model_response + ) + ) + + response_text = responses_to_text(responses) + history.append(Message(role=Role.USER, content=response_text)) + + callback.on_state(normalized_model_response, response_text) + retry_count = 0 + except (JsonParsingException, AssistantProtocolException) as e: + logger.exception("Failed to process model response") + callback.on_error( + "Error" + if retry_count == 0 + else f"Error (retry {retry_count})", + e, + ) + + retry_count += 1 + if retry_count > MAX_RETRY_COUNT: + raise e + + if token_stream.buffer: + history.append( + Message( + role=Role.ASSISTANT, content=token_stream.buffer + ) + ) + history.append( + Message( + role=Role.USER, + content=json.dumps({"error": str(e)}), + ) + ) + finally: + self._log_message(Role.ASSISTANT, token_stream.buffer) + + raise Exception(f"Max message count of {MAX_MESSAGE_COUNT} exceeded") + + def _reinforce_last_message(self, history: list[Message]) -> list[Message]: + reinforced_message = self.resp_prompt.render( + response=history[-1].content + ) + self._log_message(Role.USER, reinforced_message) + return history[:-1] + [ + Message(role=Role.USER, content=reinforced_message), + ] + + @staticmethod + async def _to_args( + args: AsyncIterator[JsonNode], callback: CommandCallback + ) -> AsyncIterator[Any]: + args_callback = callback.args_callback() + args_callback.on_args_start() + async for arg in args: + arg_callback = args_callback.arg_callback() + arg_callback.on_arg_start() + result = "" + async for token in arg.to_string_tokens(): # type: ignore + arg_callback.on_arg(token) + result += token + arg_callback.on_arg_end() + yield json.loads(result) + args_callback.on_args_end() + + @staticmethod + async def _to_result( + arg: AsyncIterator[str], + max_model_completion_tokens: int, + callback: ResultCallback, + ) -> str: + result = "" + try: + for _ in range(max_model_completion_tokens): + token = await anext(arg) + callback.on_result(token) + result += token + logger.warn( + f"Max token count of {max_model_completion_tokens} exceeded in the reply" + ) + except StopAsyncIteration: + pass + return result + + @staticmethod + async def _execute_command( + name: str, + command: Command, + args: AsyncIterator[JsonNode], + chain_callback: ChainCallback, + ) -> CommandResult: + try: + with chain_callback.command_callback() as command_callback: + command_callback.on_command(name) + args_list = [ + arg + async for arg in CommandChain._to_args( + args, command_callback + ) + ] + response = await command.execute( + args_list, command_callback.execution_callback() + ) + command_callback.on_result(response) + + return {"status": Status.SUCCESS, "response": response.text} + except Exception as e: + logger.exception(f"Failed to execute command {name}") + return {"status": Status.ERROR, "response": str(e)} + + @staticmethod + async def _skip_text(stream: AsyncPeekable[str]): + try: + while True: + char = await stream.apeek() + if char == JsonObject.token(): + break + + await anext(stream) + except StopAsyncIteration: + pass diff --git a/aidial_assistant/chain/command_result.py b/aidial_assistant/chain/command_result.py new file mode 100644 index 0000000..e79605e --- /dev/null +++ b/aidial_assistant/chain/command_result.py @@ -0,0 +1,20 @@ +import json +from enum import Enum +from typing import List, TypedDict + + +class Status(str, Enum): + ERROR = "ERROR" + SUCCESS = "SUCCESS" + + +class CommandResult(TypedDict): + status: Status + response: str + """Response provided by the human. + Contains both result of a successful command execution and + error messages for the failed one.""" + + +def responses_to_text(responses: List[CommandResult]) -> str: + return json.dumps({"responses": responses}) diff --git a/aidial_assistant/chain/execution_context.py b/aidial_assistant/chain/execution_context.py new file mode 100644 index 0000000..ac0114e --- /dev/null +++ b/aidial_assistant/chain/execution_context.py @@ -0,0 +1,18 @@ +from aidial_assistant.commands.base import Command, CommandConstructor + +CommandDict = dict[str, CommandConstructor] + + +class ExecutionContext: + def __init__(self, command_dict: CommandDict): + self.command_dict = command_dict + + def create_command(self, name: str) -> Command: + available_commands = set(self.command_dict.keys()) + + if name not in available_commands: + raise Exception( + f"The command '{name}' is expected to be one of {available_commands}" + ) + + return self.command_dict[name]() diff --git a/aidial_assistant/chain/model_client.py b/aidial_assistant/chain/model_client.py new file mode 100644 index 0000000..eeb80eb --- /dev/null +++ b/aidial_assistant/chain/model_client.py @@ -0,0 +1,36 @@ +from abc import ABC +from typing import Any, AsyncIterator, List + +import openai +from aidial_sdk.chat_completion.request import Message +from aiohttp import ClientSession + + +class ModelClient(ABC): + def __init__( + self, + model_args: dict[str, Any], + buffer_size: int, + ): + self.model_args = model_args + self.buffer_size = buffer_size + + async def agenerate(self, messages: List[Message]) -> AsyncIterator[str]: + async with ClientSession(read_bufsize=self.buffer_size) as session: + openai.aiosession.set(session) + + model_result = await openai.ChatCompletion.acreate( + **self.model_args, + messages=[ + { + "role": m.role.value, + "content": m.content, + } + for m in messages + ] + ) + + async for chunk in model_result: # type: ignore + text = chunk["choices"][0]["delta"].get("content") + if text: + yield text diff --git a/aidial_assistant/chain/model_response_reader.py b/aidial_assistant/chain/model_response_reader.py new file mode 100644 index 0000000..42a187b --- /dev/null +++ b/aidial_assistant/chain/model_response_reader.py @@ -0,0 +1,67 @@ +from collections.abc import AsyncIterator + +from aidial_assistant.json_stream.json_array import JsonArray +from aidial_assistant.json_stream.json_node import JsonNode +from aidial_assistant.json_stream.json_parser import ( + array_node, + object_node, + string_node, +) +from aidial_assistant.utils.text import join_string + + +class AssistantProtocolException(Exception): + pass + + +class CommandReader: + def __init__(self, node: JsonNode): + try: + self.node = object_node(node) + except TypeError as e: + raise AssistantProtocolException( + f"Cannot parse command object: {e}" + ) + + async def parse_name(self) -> str: + try: + return await join_string( + string_node(await self.node.get("command")) + ) + except TypeError as e: + raise AssistantProtocolException(f"Cannot parse command name: {e}") + + async def parse_args(self) -> AsyncIterator[JsonNode]: + try: + args = await self.node.get("args") + # HACK: model not always passes args as an array + if isinstance(args, JsonArray): + async for arg in array_node(args): + yield arg + else: + yield args + except TypeError as e: + raise AssistantProtocolException( + f"Cannot parse command args array: {e}" + ) + + +class CommandsReader: + def __init__(self, node: JsonNode): + try: + self.node = object_node(node) + except TypeError as e: + raise AssistantProtocolException(f"Failed to parse request: {e}") + + async def parse_invocations(self) -> AsyncIterator[CommandReader]: + commands = await self._parse_command_array() + async for command in commands: + yield CommandReader(command) + + async def _parse_command_array(self) -> JsonArray: + try: + return array_node(await self.node.get("commands")) + except TypeError as e: + raise AssistantProtocolException( + f"Failed to parse array of command: {e}" + ) diff --git a/aidial_assistant/commands/__init__.py b/aidial_assistant/commands/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/aidial_assistant/commands/base.py b/aidial_assistant/commands/base.py new file mode 100644 index 0000000..c36d668 --- /dev/null +++ b/aidial_assistant/commands/base.py @@ -0,0 +1,83 @@ +from abc import ABC, abstractmethod +from enum import Enum +from typing import Any, Callable, List, TypedDict + +from typing_extensions import override + + +class ResultType(str, Enum): + TEXT = "Text" + JSON = "JSon" + + +class ResultObject: + def __init__(self, result_type: ResultType, text: str): + self._type = result_type + self._text = text + + @property + def type(self) -> ResultType: + return self._type + + @property + def text(self) -> str: + return self._text + + +class ExecutionCallback: + """Callback for reporting execution""" + + def __init__(self, callback: Callable[[str], None]): + self.callback = callback + + def on_token(self, token: str): + self.callback(token) + + +class TextResult(ResultObject): + def __init__(self, text: str): + super().__init__(ResultType.TEXT, text) + + +class JsonResult(ResultObject): + def __init__(self, text: str): + super().__init__(ResultType.JSON, text) + + +class Command(ABC): + @staticmethod + @abstractmethod + def token() -> str: + pass + + async def execute( + self, args: List[Any], execution_callback: ExecutionCallback + ) -> ResultObject: + raise Exception(f"Command {self} isn't implemented") + + def __str__(self) -> str: + return self.token() + + def assert_arg_count(self, args: List[Any], count: int): + if len(args) != count: + raise ValueError( + f"Command {self} expects {count} args, but got {len(args)}" + ) + + +class FinalCommand(Command, ABC): + @override + async def execute( + self, args: List[Any], execution_callback: ExecutionCallback + ) -> ResultObject: + raise Exception( + f"Internal error: command {self} is final and can't be executed" + ) + + +class CommandObject(TypedDict): + command: str + args: List[str] + + +CommandConstructor = Callable[[], Command] diff --git a/aidial_assistant/commands/open_api.py b/aidial_assistant/commands/open_api.py new file mode 100644 index 0000000..4f90303 --- /dev/null +++ b/aidial_assistant/commands/open_api.py @@ -0,0 +1,31 @@ +from typing import Any, List + +from langchain.tools.openapi.utils.api_models import APIOperation +from typing_extensions import override + +from aidial_assistant.commands.base import ( + Command, + ExecutionCallback, + ResultObject, +) +from aidial_assistant.open_api.requester import OpenAPIEndpointRequester + + +class OpenAPIChatCommand(Command): + @staticmethod + def token() -> str: + return "open-api-chat-command" + + def __init__(self, op: APIOperation, plugin_auth: str | None): + self.op = op + self.plugin_auth = plugin_auth + + @override + async def execute( + self, args: List[Any], execution_callback: ExecutionCallback + ) -> ResultObject: + self.assert_arg_count(args, 1) + + return await OpenAPIEndpointRequester( + self.op, self.plugin_auth + ).execute(args[0]) diff --git a/aidial_assistant/commands/plugin_callback.py b/aidial_assistant/commands/plugin_callback.py new file mode 100644 index 0000000..d47b920 --- /dev/null +++ b/aidial_assistant/commands/plugin_callback.py @@ -0,0 +1,91 @@ +from types import TracebackType +from typing import Callable + +from typing_extensions import override + +from aidial_assistant.chain.callbacks.args_callback import ArgsCallback +from aidial_assistant.chain.callbacks.chain_callback import ChainCallback +from aidial_assistant.chain.callbacks.command_callback import CommandCallback +from aidial_assistant.chain.callbacks.result_callback import ResultCallback +from aidial_assistant.commands.base import ( + ExecutionCallback, + ResultObject, + ResultType, +) + + +class PluginExecutionCallback(ExecutionCallback): + def __init__(self, callback: Callable[[str], None]): + super().__init__(callback) + self.callback = callback + + @override + def on_token(self, token: str): + self.callback(token) + + +class PluginCommandCallback(CommandCallback): + def __init__(self, callback: Callable[[str], None]): + self.callback = callback + + @override + def on_command(self, command: str): + self.callback(f"```javascript\n{command}") + + @override + def args_callback(self) -> ArgsCallback: + return ArgsCallback(self.callback) + + @override + def execution_callback(self) -> ExecutionCallback: + return PluginExecutionCallback(self.callback) + + @override + def on_result(self, result: ResultObject): + syntax = "json" if result.type == ResultType.JSON else "text" + self.callback(f"\n```\n```{syntax}\n{result.text}\n```\n") + + @override + def on_error(self, error: BaseException): + self.callback(f"\n```\n```\nError: {str(error)}\n```\n") + + @override + def __exit__( + self, + __exc_type: type[BaseException] | None, + __exc_value: BaseException | None, + __traceback: TracebackType | None, + ): + if __exc_value is not None: + self.on_error(__exc_value) + + +class PluginResultCallback(ResultCallback): + def __init__(self, callback: Callable[[str], None]): + self.callback = callback + + @override + def on_result(self, token): + self.callback(token) + + +class PluginChainCallback(ChainCallback): + def __init__(self, callback: Callable[[str], None]): + self.callback = callback + + @override + def command_callback(self) -> PluginCommandCallback: + return PluginCommandCallback(self.callback) + + @override + def result_callback(self) -> ResultCallback: + return PluginResultCallback(self.callback) + + @override + def on_state(self, request: str, response: str): + # Plugin state is not currently supported + pass + + @override + def on_error(self, title: str, error: Exception): + pass diff --git a/aidial_assistant/commands/reply.py b/aidial_assistant/commands/reply.py new file mode 100644 index 0000000..330f3db --- /dev/null +++ b/aidial_assistant/commands/reply.py @@ -0,0 +1,7 @@ +from aidial_assistant.commands.base import FinalCommand + + +class Reply(FinalCommand): + @staticmethod + def token() -> str: + return "reply" diff --git a/aidial_assistant/commands/run_plugin.py b/aidial_assistant/commands/run_plugin.py new file mode 100644 index 0000000..b0dcdcc --- /dev/null +++ b/aidial_assistant/commands/run_plugin.py @@ -0,0 +1,104 @@ +from typing import List + +from aidial_sdk.chat_completion.request import Message, Role +from langchain.tools import APIOperation +from typing_extensions import override + +from aidial_assistant.application.prompts import ( + PLUGIN_SYSTEM_DIALOG_MESSAGE, + RESP_DIALOG_PROMPT, +) +from aidial_assistant.chain.command_chain import CommandChain +from aidial_assistant.chain.execution_context import ExecutionContext +from aidial_assistant.chain.model_client import ModelClient +from aidial_assistant.commands.base import ( + Command, + CommandConstructor, + ExecutionCallback, + JsonResult, + ResultObject, +) +from aidial_assistant.commands.open_api import OpenAPIChatCommand +from aidial_assistant.commands.plugin_callback import PluginChainCallback +from aidial_assistant.commands.reply import Reply +from aidial_assistant.open_api.operation_selector import collect_operations +from aidial_assistant.utils.open_ai_plugin import OpenAIPluginInfo + + +class RunPlugin(Command): + def __init__( + self, model_client: ModelClient, plugins: dict[str, OpenAIPluginInfo] + ): + self.model_client = model_client + self.plugins = plugins + + @staticmethod + def token(): + return "run-plugin" + + @override + async def execute( + self, args: List[str], execution_callback: ExecutionCallback + ) -> ResultObject: + self.assert_arg_count(args, 2) + name = args[0] + query = args[1] + + return await self._run_plugin( + name, + query, + self.model_client, + execution_callback, + ) + + async def _run_plugin( + self, + name: str, + query: str, + model_client: ModelClient, + execution_callback: ExecutionCallback, + ) -> ResultObject: + if name not in self.plugins: + raise ValueError( + f"Unknown plugin: {name}. Available plugins: {self.plugins.keys()}" + ) + + plugin = self.plugins[name] + ops = collect_operations(plugin.open_api, plugin.ai_plugin.api.url) + api_schema = "\n\n".join([op.to_typescript() for op in ops.values()]) + + def create_command(op: APIOperation): + return lambda: OpenAPIChatCommand(op, plugin.auth) + + command_dict: dict[str, CommandConstructor] = {} + for name, op in ops.items(): + # The function is necessary to capture the current value of op. + # Otherwise, only first op will be used for all commands + command_dict[name] = create_command(op) + + command_dict[Reply.token()] = Reply + + init_messages = [ + Message( + role=Role.SYSTEM, + content=PLUGIN_SYSTEM_DIALOG_MESSAGE.render( + command_names=ops.keys(), + api_description=plugin.ai_plugin.description_for_model, + api_schema=api_schema, + ), + ), + Message(role=Role.USER, content=query), + ] + + chat = CommandChain( + model_client=model_client, + name="PLUGIN:" + name, + resp_prompt=RESP_DIALOG_PROMPT, + ctx=ExecutionContext(command_dict), + ) + + return JsonResult( + await chat.run_chat( + init_messages, PluginChainCallback(execution_callback.on_token) + ) + ) diff --git a/aidial_assistant/configs/chat.yaml b/aidial_assistant/configs/chat.yaml new file mode 100644 index 0000000..3bfba77 --- /dev/null +++ b/aidial_assistant/configs/chat.yaml @@ -0,0 +1 @@ +buffer_size: 10000000 \ No newline at end of file diff --git a/aidial_assistant/configs/open_ai.yaml b/aidial_assistant/configs/open_ai.yaml new file mode 100644 index 0000000..2139386 --- /dev/null +++ b/aidial_assistant/configs/open_ai.yaml @@ -0,0 +1,4 @@ +model: gpt-4 +temperature: 0.0 +api_base: !env OPENAI_API_BASE +request_timeout: 300 diff --git a/aidial_assistant/json_stream/__init__.py b/aidial_assistant/json_stream/__init__.py new file mode 100644 index 0000000..eea436a --- /dev/null +++ b/aidial_assistant/json_stream/__init__.py @@ -0,0 +1,3 @@ +import logging + +logger = logging.getLogger(__name__) diff --git a/aidial_assistant/json_stream/json_array.py b/aidial_assistant/json_stream/json_array.py new file mode 100644 index 0000000..7ecbaa3 --- /dev/null +++ b/aidial_assistant/json_stream/json_array.py @@ -0,0 +1,93 @@ +from asyncio import Queue +from collections.abc import AsyncIterator +from typing import Any + +from typing_extensions import override + +from aidial_assistant.json_stream.json_node import ( + ComplexNode, + JsonNode, + NodeResolver, + unexpected_symbol_error, +) +from aidial_assistant.json_stream.json_normalizer import JsonNormalizer +from aidial_assistant.json_stream.tokenator import Tokenator + + +class JsonArray(ComplexNode[list[Any]], AsyncIterator[JsonNode]): + def __init__(self, char_position: int): + super().__init__(char_position) + self.listener = Queue[JsonNode | None | BaseException]() + self.array: list[JsonNode] = [] + + @override + def type(self) -> str: + return "array" + + @staticmethod + def token() -> str: + return "[" + + @override + def __aiter__(self) -> AsyncIterator[JsonNode]: + return self + + @override + async def __anext__(self) -> JsonNode: + result = ComplexNode.throw_if_exception(await self.listener.get()) + if result is None: + raise StopAsyncIteration + + self.array.append(result) + return result + + @override + async def parse(self, stream: Tokenator, dependency_resolver: NodeResolver): + try: + normalised_stream = JsonNormalizer(stream) + char = await anext(normalised_stream) + self._char_position = stream.char_position + if not char == JsonArray.token(): + raise unexpected_symbol_error(char, stream.char_position) + + separate = False + while True: + char = await normalised_stream.apeek() + if char == "]": + await anext(normalised_stream) + break + + if char == ",": + if not separate: + raise unexpected_symbol_error( + char, stream.char_position + ) + + await anext(normalised_stream) + separate = False + else: + value = await dependency_resolver.resolve(stream) + await self.listener.put(value) + if isinstance(value, ComplexNode): + await value.parse(stream, dependency_resolver) + separate = True + + await self.listener.put(None) + except BaseException as e: + await self.listener.put(e) + + @override + async def to_string_tokens(self) -> AsyncIterator[str]: + yield JsonArray.token() + separate = False + async for value in self: + if separate: + yield ", " + async for token in value.to_string_tokens(): # type: ignore + yield token + separate = True + yield "]" + + @override + def value(self) -> list[JsonNode]: + return [item.value() for item in self.array] diff --git a/aidial_assistant/json_stream/json_bool.py b/aidial_assistant/json_stream/json_bool.py new file mode 100644 index 0000000..1b32f74 --- /dev/null +++ b/aidial_assistant/json_stream/json_bool.py @@ -0,0 +1,31 @@ +import json + +from typing_extensions import override + +from aidial_assistant.json_stream.json_node import PrimitiveNode + +TRUE_STRING = "true" +FALSE_STRING = "false" + + +class JsonBoolean(PrimitiveNode[bool]): + def __init__(self, raw_data: str, char_position: int): + super().__init__(char_position) + self._raw_data = raw_data + self._value: bool = json.loads(raw_data) + + @override + def type(self) -> str: + return "boolean" + + @override + def raw_data(self) -> str: + return self._raw_data + + @override + def value(self) -> bool: + return self._value + + @staticmethod + def is_bool(char: str) -> bool: + return char == "t" or char == "f" diff --git a/aidial_assistant/json_stream/json_node.py b/aidial_assistant/json_stream/json_node.py new file mode 100644 index 0000000..22f6d8c --- /dev/null +++ b/aidial_assistant/json_stream/json_node.py @@ -0,0 +1,91 @@ +from abc import ABC, abstractmethod +from collections.abc import AsyncIterator +from typing import Generic, TypeVar + +from typing_extensions import override + +from aidial_assistant.json_stream.tokenator import Tokenator + + +class JsonParsingException(Exception): + pass + + +def unexpected_symbol_error( + char: str, char_position: int +) -> JsonParsingException: + return JsonParsingException( + f"Failed to parse json string: unexpected symbol {char} at position {char_position}" + ) + + +class NodeResolver(ABC): + @abstractmethod + async def resolve(self, stream: Tokenator) -> "JsonNode": + pass + + +T = TypeVar("T") + + +class JsonNode(ABC, Generic[T]): + def __init__(self, char_position: int): + self._char_position = char_position + + @abstractmethod + def type(self) -> str: + pass + + @abstractmethod + def to_string_tokens(self) -> AsyncIterator[str]: + pass + + @property + def char_position(self) -> int: + return self._char_position + + @abstractmethod + def value(self) -> T: + pass + + +class ComplexNode(JsonNode[T], ABC, Generic[T]): + def __init__(self, char_position: int): + super().__init__(char_position) + + @abstractmethod + async def parse(self, stream: Tokenator, dependency_resolver: NodeResolver): + pass + + @staticmethod + def throw_if_exception(entry): + if isinstance(entry, StopAsyncIteration): + raise JsonParsingException( + "Failed to parse json: unexpected end of stream." + ) + + if isinstance(entry, BaseException): + raise entry + + return entry + + +class PrimitiveNode(JsonNode[T], ABC, Generic[T]): + @abstractmethod + def raw_data(self) -> str: + pass + + @override + async def to_string_tokens(self) -> AsyncIterator[str]: + yield self.raw_data() + + @staticmethod + async def collect(stream: Tokenator) -> str: + raw_data = "" + while True: + char = await stream.apeek() + if char.isspace() or char in ",:[]{}": + return raw_data + else: + raw_data += char + await stream.askip() diff --git a/aidial_assistant/json_stream/json_normalizer.py b/aidial_assistant/json_stream/json_normalizer.py new file mode 100644 index 0000000..c42c447 --- /dev/null +++ b/aidial_assistant/json_stream/json_normalizer.py @@ -0,0 +1,27 @@ +from typing_extensions import override + +from aidial_assistant.json_stream.tokenator import AsyncPeekable, Tokenator + + +class JsonNormalizer(AsyncPeekable[str]): + def __init__(self, stream: Tokenator): + self.stream = stream + + @override + def __aiter__(self): + return self + + @override + async def __anext__(self) -> str: + await self.apeek() + return await anext(self.stream) + + @override + async def apeek(self) -> str: + while True: + token = await self.stream.apeek() + if str.isspace(token): + await anext(self.stream) + continue + else: + return token diff --git a/aidial_assistant/json_stream/json_null.py b/aidial_assistant/json_stream/json_null.py new file mode 100644 index 0000000..584a9c4 --- /dev/null +++ b/aidial_assistant/json_stream/json_null.py @@ -0,0 +1,31 @@ +from typing_extensions import override + +from aidial_assistant.json_stream.json_node import ( + PrimitiveNode, + unexpected_symbol_error, +) + +NULL_STRING = "null" + + +class JsonNull(PrimitiveNode[None]): + def __init__(self, raw_data: str, char_position: int): + super().__init__(char_position) + if raw_data != "null": + raise unexpected_symbol_error(raw_data, char_position) + + @override + def type(self) -> str: + return "null" + + @override + def raw_data(self) -> str: + return NULL_STRING + + @override + def value(self) -> None: + return None + + @staticmethod + def is_null(char: str) -> bool: + return char == "n" diff --git a/aidial_assistant/json_stream/json_number.py b/aidial_assistant/json_stream/json_number.py new file mode 100644 index 0000000..8404452 --- /dev/null +++ b/aidial_assistant/json_stream/json_number.py @@ -0,0 +1,28 @@ +import json + +from typing_extensions import override + +from aidial_assistant.json_stream.json_node import PrimitiveNode + + +class JsonNumber(PrimitiveNode[float | int]): + def __init__(self, raw_data: str, char_position: int): + super().__init__(char_position) + self._raw_data = raw_data + self._value: float | int = json.loads(raw_data) + + @override + def type(self) -> str: + return "number" + + @override + def raw_data(self) -> str: + return self._raw_data + + @override + def value(self) -> float | int: + return self._value + + @staticmethod + def is_number(char: str) -> bool: + return char.isdigit() or char == "-" diff --git a/aidial_assistant/json_stream/json_object.py b/aidial_assistant/json_stream/json_object.py new file mode 100644 index 0000000..fd3087a --- /dev/null +++ b/aidial_assistant/json_stream/json_object.py @@ -0,0 +1,123 @@ +import json +from asyncio import Queue +from collections.abc import AsyncIterator +from typing import Any, Tuple + +from typing_extensions import override + +from aidial_assistant.json_stream.json_node import ( + ComplexNode, + JsonNode, + NodeResolver, + unexpected_symbol_error, +) +from aidial_assistant.json_stream.json_normalizer import JsonNormalizer +from aidial_assistant.json_stream.json_string import JsonString +from aidial_assistant.json_stream.tokenator import Tokenator +from aidial_assistant.utils.text import join_string + + +class JsonObject( + ComplexNode[dict[str, Any]], AsyncIterator[Tuple[str, JsonNode]] +): + def __init__(self, char_position: int): + super().__init__(char_position) + self.listener = Queue[Tuple[str, JsonNode] | None | BaseException]() + self._object: dict[str, JsonNode] = {} + + @override + def type(self) -> str: + return "object" + + def __aiter__(self) -> AsyncIterator[Tuple[str, JsonNode]]: + return self + + @override + async def __anext__(self) -> Tuple[str, JsonNode]: + result = ComplexNode.throw_if_exception(await self.listener.get()) + if result is None: + raise StopAsyncIteration + + self._object[result[0]] = result[1] + return result + + @staticmethod + def token() -> str: + return "{" + + async def get(self, key: str) -> JsonNode: + if key in self._object.keys(): + return self._object[key] + + async for k, v in self: + if k == key: + return v + + raise KeyError(key) + + @override + async def parse(self, stream: Tokenator, dependency_resolver: NodeResolver): + try: + normalised_stream = JsonNormalizer(stream) + char = await anext(normalised_stream) + if not char == JsonObject.token(): + raise unexpected_symbol_error(char, stream.char_position) + + separate = False + while True: + char = await normalised_stream.apeek() + + if char == "}": + await normalised_stream.askip() + break + + if char == ",": + if not separate: + raise unexpected_symbol_error( + char, stream.char_position + ) + + await normalised_stream.askip() + separate = False + elif char == '"': + if separate: + raise unexpected_symbol_error( + char, stream.char_position + ) + + key = await join_string(JsonString.read(stream)) + colon = await anext(normalised_stream) + if not colon == ":": + raise unexpected_symbol_error( + colon, stream.char_position + ) + + value = await dependency_resolver.resolve(stream) + await self.listener.put((key, value)) + if isinstance(value, ComplexNode): + await value.parse(stream, dependency_resolver) + separate = True + else: + raise unexpected_symbol_error(char, stream.char_position) + + await self.listener.put(None) + except BaseException as e: + await self.listener.put(e) + + @override + async def to_string_tokens(self) -> AsyncIterator[str]: + yield JsonObject.token() + separate = False + async for key, value in self: + if separate: + yield ", " + yield json.dumps(key) + yield ": " + async for token in value.to_string_tokens(): # type: ignore + yield token + separate = True + yield "}" + + @override + def value(self) -> dict[str, Any]: + return {k: v.value() for k, v in self._object.items()} diff --git a/aidial_assistant/json_stream/json_parser.py b/aidial_assistant/json_stream/json_parser.py new file mode 100644 index 0000000..27d876d --- /dev/null +++ b/aidial_assistant/json_stream/json_parser.py @@ -0,0 +1,66 @@ +from asyncio import TaskGroup +from contextlib import asynccontextmanager +from typing import Any, AsyncGenerator + +from aidial_assistant.json_stream.json_array import JsonArray +from aidial_assistant.json_stream.json_node import ComplexNode, JsonNode +from aidial_assistant.json_stream.json_object import JsonObject +from aidial_assistant.json_stream.json_root import JsonRoot, RootNodeResolver +from aidial_assistant.json_stream.json_string import JsonString +from aidial_assistant.json_stream.tokenator import Tokenator + + +def array_node(node: JsonNode) -> JsonArray: + if not isinstance(node, JsonArray): + raise TypeError( + f"Expected json array at position {node.char_position}, got {node.type}" + ) + + return node + + +def object_node(node: JsonNode) -> JsonObject: + if not isinstance(node, JsonObject): + raise TypeError( + f"Expected json object at position {node.char_position}, got {node.type}" + ) + + return node + + +def string_node(node: JsonNode) -> JsonString: + if not isinstance(node, JsonString): + raise TypeError( + f"Expected json string at position {node.char_position}, got {node.type}" + ) + + return node + + +class JsonParser: + @staticmethod + @asynccontextmanager + async def parse(stream: Tokenator) -> AsyncGenerator[JsonNode, Any]: + root = JsonRoot() + try: + async with TaskGroup() as tg: + task = tg.create_task(JsonParser._parse_root(root, stream)) + try: + yield await root.node() + finally: + await task + except ExceptionGroup as e: + raise e.exceptions[0] + + @staticmethod + async def _parse_root(root: JsonRoot, stream: Tokenator): + try: + node_resolver = RootNodeResolver() + await root.parse(stream, node_resolver) + node = await root.node() + if isinstance(node, ComplexNode): + await node.parse(stream, node_resolver) + finally: + # flush the stream + async for _ in stream: + pass diff --git a/aidial_assistant/json_stream/json_root.py b/aidial_assistant/json_stream/json_root.py new file mode 100644 index 0000000..67d7eef --- /dev/null +++ b/aidial_assistant/json_stream/json_root.py @@ -0,0 +1,90 @@ +import asyncio +from typing import Any, AsyncIterator + +from typing_extensions import override + +from aidial_assistant.json_stream.json_array import JsonArray +from aidial_assistant.json_stream.json_bool import JsonBoolean +from aidial_assistant.json_stream.json_node import ( + ComplexNode, + JsonNode, + NodeResolver, + PrimitiveNode, + unexpected_symbol_error, +) +from aidial_assistant.json_stream.json_normalizer import JsonNormalizer +from aidial_assistant.json_stream.json_null import JsonNull +from aidial_assistant.json_stream.json_number import JsonNumber +from aidial_assistant.json_stream.json_object import JsonObject +from aidial_assistant.json_stream.json_string import JsonString +from aidial_assistant.json_stream.tokenator import Tokenator + + +class RootNodeResolver(NodeResolver): + @override + async def resolve(self, stream: Tokenator) -> JsonNode: + normalised_stream = JsonNormalizer(stream) + char = await normalised_stream.apeek() + if char == JsonObject.token(): + return JsonObject(stream.char_position) + + if char == JsonString.token(): + return JsonString(stream.char_position) + + if char == JsonArray.token(): + return JsonArray(stream.char_position) + + if JsonNumber.is_number(char): + position = stream.char_position + return JsonNumber(await PrimitiveNode.collect(stream), position) + + if JsonNull.is_null(char): + position = stream.char_position + return JsonNull(await PrimitiveNode.collect(stream), position) + + if JsonBoolean.is_bool(char): + position = stream.char_position + return JsonBoolean(await PrimitiveNode.collect(stream), position) + + raise unexpected_symbol_error(char, stream.char_position) + + +class JsonRoot(ComplexNode[Any]): + def __init__(self): + super().__init__(0) + self._node: JsonNode | BaseException | None = None + self._event = asyncio.Event() + + async def node(self) -> JsonNode: + await self._event.wait() + if self._node is None: + # Should never happen + raise Exception("Node was not parsed") + + return ComplexNode.throw_if_exception(self._node) + + @override + def type(self) -> str: + return "root" + + @override + async def parse(self, stream: Tokenator, dependency_resolver: NodeResolver): + try: + self._node = await dependency_resolver.resolve(stream) + except BaseException as e: + self._node = e + finally: + self._event.set() + + @override + async def to_string_tokens(self) -> AsyncIterator[str]: + node = await self.node() + async for token in node.to_string_tokens(): # type: ignore + yield token + + @override + def value(self) -> Any: + if isinstance(self._node, JsonNode): + return self._node.value() + + return None diff --git a/aidial_assistant/json_stream/json_string.py b/aidial_assistant/json_stream/json_string.py new file mode 100644 index 0000000..fcb45e4 --- /dev/null +++ b/aidial_assistant/json_stream/json_string.py @@ -0,0 +1,108 @@ +import json +from asyncio import Queue +from collections.abc import AsyncIterator + +from typing_extensions import override + +from aidial_assistant.json_stream.json_node import ( + ComplexNode, + NodeResolver, + unexpected_symbol_error, +) +from aidial_assistant.json_stream.tokenator import Tokenator + + +class JsonString(ComplexNode[str], AsyncIterator[str]): + def __init__(self, char_position: int): + super().__init__(char_position) + self._listener = Queue[str | None | BaseException]() + self._buffer = "" + + @override + def type(self) -> str: + return "string" + + @staticmethod + def token() -> str: + return '"' + + def __aiter__(self) -> AsyncIterator[str]: + return self + + @override + async def __anext__(self) -> str: + result = ComplexNode.throw_if_exception(await self._listener.get()) + if result is None: + raise StopAsyncIteration + + self._buffer += result + return result + + @override + async def parse(self, stream: Tokenator, dependency_resolver: NodeResolver): + try: + async for token in JsonString.read(stream): + await self._listener.put(token) + await self._listener.put(None) + except BaseException as e: + await self._listener.put(e) + + @override + async def to_string_tokens(self) -> AsyncIterator[str]: + yield JsonString.token() + async for token in self: + yield json.dumps(token)[1:-1] + yield JsonString.token() + + @staticmethod + async def read(stream: Tokenator) -> AsyncIterator[str]: + try: + char = await anext(stream) + if not char == JsonString.token(): + raise unexpected_symbol_error(char, stream.char_position) + result = "" + token_position = stream.token_position + while True: + char = await anext(stream) + if char == JsonString.token(): + break + + result += ( + await JsonString.escape(stream) if char == "\\" else char + ) + if token_position != stream.token_position: + yield result + result = "" + token_position = stream.token_position + + if result: + yield result + except StopAsyncIteration: + pass + + @staticmethod + async def escape(stream: Tokenator) -> str: + char = await anext(stream) + if char == "u": + unicode_sequence = "".join([await anext(stream) for _ in range(4)]) # type: ignore + return str(int(unicode_sequence, 16)) + if char in '"\\/': + return char + if char == "b": + return "\b" + elif char == "f": + return "\f" + elif char == "n": + return "\n" + elif char == "r": + return "\r" + elif char == "t": + return "\t" + else: + # Ignore when model cannot escape text properly + return char + # raise ValueError(f"Unexpected escape sequence: \\{char}" + " at " + str(stream.char_position - 1)) + + @override + def value(self) -> str: + return self._buffer diff --git a/aidial_assistant/json_stream/parsing_context.py b/aidial_assistant/json_stream/parsing_context.py new file mode 100644 index 0000000..ff90f06 --- /dev/null +++ b/aidial_assistant/json_stream/parsing_context.py @@ -0,0 +1,21 @@ +from asyncio import Task +from contextlib import AbstractAsyncContextManager + +from aidial_assistant.json_stream import logger +from aidial_assistant.json_stream.json_root import JsonRoot + + +class ParsingContext(AbstractAsyncContextManager): + def __init__(self, node: JsonRoot, task: Task): + self._node = node + self._task = task + + @property + def root(self) -> JsonRoot: + return self._node + + async def finish_parsing(self): + try: + await self._task + except Exception as e: + logger.error(f"Parser error: {e}") diff --git a/aidial_assistant/json_stream/tokenator.py b/aidial_assistant/json_stream/tokenator.py new file mode 100644 index 0000000..d5b5d29 --- /dev/null +++ b/aidial_assistant/json_stream/tokenator.py @@ -0,0 +1,50 @@ +from abc import ABC, abstractmethod +from collections.abc import AsyncIterator +from typing import Generic, TypeVar + +from typing_extensions import override + +T = TypeVar("T") + + +class AsyncPeekable(ABC, Generic[T], AsyncIterator[T]): + @abstractmethod + async def apeek(self) -> T: + pass + + async def askip(self) -> None: + await anext(self) + + +class Tokenator(AsyncPeekable[str]): + def __init__(self, source: AsyncIterator[str]): + self._source = source + self._token: str = "" + self._next_char_offset: int = 0 + self._token_position: int = 0 + + @override + def __aiter__(self) -> AsyncIterator[str]: + return self + + @override + async def __anext__(self) -> str: + result = await self.apeek() + self._next_char_offset += 1 + return result + + @override + async def apeek(self) -> str: + while self._next_char_offset == len(self._token): + self._token_position += len(self._token) + self._token = await anext(self._source) # type: ignore + self._next_char_offset = 0 + return self._token[self._next_char_offset] + + @property + def token_position(self) -> int: + return self._token_position + + @property + def char_position(self) -> int: + return self._token_position + self._next_char_offset diff --git a/aidial_assistant/open_api/__init__.py b/aidial_assistant/open_api/__init__.py new file mode 100644 index 0000000..eea436a --- /dev/null +++ b/aidial_assistant/open_api/__init__.py @@ -0,0 +1,3 @@ +import logging + +logger = logging.getLogger(__name__) diff --git a/aidial_assistant/open_api/operation_selector.py b/aidial_assistant/open_api/operation_selector.py new file mode 100644 index 0000000..3aff45c --- /dev/null +++ b/aidial_assistant/open_api/operation_selector.py @@ -0,0 +1,51 @@ +import json +from typing import Union +from urllib.parse import urljoin + +from langchain.tools import APIOperation, OpenAPISpec +from pydantic import BaseModel + + +class OpenAPICommand(BaseModel): + command: str + args: dict + + +class OpenAPIClarification(BaseModel): + user_question: str + + +OpenAPIResponse = Union[OpenAPICommand, OpenAPIClarification] + + +class OpenAPIResponseWrapper(BaseModel): + """Just a wrapper class for the union to ease parsing""" + + resp: OpenAPIResponse + + @staticmethod + def parse_str(s) -> OpenAPIResponse: + return OpenAPIResponseWrapper.parse_obj({"resp": json.loads(s)}).resp + + +OpenAPIOperations = dict[str, APIOperation] + + +def collect_operations(spec: OpenAPISpec, spec_url: str) -> OpenAPIOperations: + operations: dict[str, APIOperation] = {} + + def add_operation(spec, path, method): + operation = APIOperation.from_openapi_spec(spec, path, method) + operation.base_url = urljoin(spec_url, operation.base_url) + operations[operation.operation_id] = operation + + if spec.paths is None: + return operations + + for path, path_item in spec.paths.items(): + if path_item.get is not None: + add_operation(spec, path, "get") + if path_item.post is not None: + add_operation(spec, path, "post") + + return operations diff --git a/aidial_assistant/open_api/requester.py b/aidial_assistant/open_api/requester.py new file mode 100644 index 0000000..6393da7 --- /dev/null +++ b/aidial_assistant/open_api/requester.py @@ -0,0 +1,104 @@ +import json +from typing import Dict, List, NamedTuple, Optional + +from aiohttp import hdrs +from langchain.tools.openapi.utils.api_models import APIOperation + +from aidial_assistant.commands.base import JsonResult, ResultObject, TextResult +from aidial_assistant.open_api import logger +from aidial_assistant.utils.requests import arequest + + +class _ParamMapping(NamedTuple): + """Mapping from parameter name to parameter value.""" + + query_params: List[str] + body_params: List[str] + path_params: List[str] + + +class OpenAPIEndpointRequester: + """Chain interacts with an OpenAPI endpoint using natural language. + Based on OpenAPIEndpointChain from LangChain. + """ + + def __init__(self, operation: APIOperation, plugin_auth: str | None): + self.operation = operation + self.param_mapping = _ParamMapping( + query_params=operation.query_params, + body_params=operation.body_params, + path_params=operation.path_params, + ) + self.plugin_auth = plugin_auth + + def _construct_path(self, args: Dict[str, str]) -> str: + """Construct the path from the deserialized input.""" + path = self.operation.base_url.rstrip("/") + self.operation.path + for param in self.param_mapping.path_params: + path = path.replace(f"{{{param}}}", str(args.pop(param, ""))) + return path + + def _extract_query_params(self, args: Dict[str, str]) -> Dict[str, str]: + """Extract the query params from the deserialized input.""" + query_params = {} + for param in self.param_mapping.query_params: + if param in args: + query_params[param] = args.pop(param) + return query_params + + def _extract_body_params( + self, args: Dict[str, str] + ) -> Optional[Dict[str, str]]: + """Extract the request body params from the deserialized input.""" + body_params = None + if self.param_mapping.body_params: + body_params = {} + for param in self.param_mapping.body_params: + if param in args: + body_params[param] = args.pop(param) + return body_params + + def deserialize_json_input(self, args: dict) -> dict: + """Use the serialized typescript dictionary. + + Resolve the path, query params dict, and optional requestBody dict. + """ + path = self._construct_path(args) + body_params = self._extract_body_params(args) + query_params = self._extract_query_params(args) + return { + "url": path, + "data": {}, + "json": body_params, + "params": query_params, + } + + async def execute( + self, + args: dict, + ) -> ResultObject: + request_args = self.deserialize_json_input(args) + headers = ( + None + if self.plugin_auth is None + else {hdrs.AUTHORIZATION: self.plugin_auth} + ) + logger.info(f"Request args: {request_args}") + async with arequest( + self.operation.method.value, headers=headers, **request_args + ) as response: + if response.status != 200: + method_str = str(self.operation.method.value) + error_object = { + "reason": response.reason, + "status_code": response.status, + "method:": method_str.upper(), + "url": request_args["url"], + "params": request_args["params"], + } + return JsonResult(json.dumps(error_object)) + + if "text" in response.headers[hdrs.CONTENT_TYPE]: + return TextResult(await response.text()) + + return JsonResult(json.dumps(await response.json())) diff --git a/aidial_assistant/utils/__init__.py b/aidial_assistant/utils/__init__.py new file mode 100644 index 0000000..e3927dd --- /dev/null +++ b/aidial_assistant/utils/__init__.py @@ -0,0 +1,3 @@ +import logging.config + +logger = logging.getLogger(__name__) diff --git a/aidial_assistant/utils/env.py b/aidial_assistant/utils/env.py new file mode 100644 index 0000000..77eb4df --- /dev/null +++ b/aidial_assistant/utils/env.py @@ -0,0 +1,10 @@ +import os + + +def get_env(name: str) -> str: + if name in os.environ: + val = os.environ.get(name) + if val is not None: + return val + + raise Exception(f"{name} env variable is not set") diff --git a/aidial_assistant/utils/open_ai_plugin.py b/aidial_assistant/utils/open_ai_plugin.py new file mode 100644 index 0000000..5fef31c --- /dev/null +++ b/aidial_assistant/utils/open_ai_plugin.py @@ -0,0 +1,122 @@ +from typing import Mapping +from urllib.parse import urljoin + +from aiocache import cached +from aiohttp import hdrs +from fastapi import HTTPException +from langchain.tools import OpenAPISpec +from pydantic import BaseModel, parse_obj_as +from starlette.status import HTTP_401_UNAUTHORIZED + +from aidial_assistant.utils import logger +from aidial_assistant.utils.requests import aget + + +class AuthConf(BaseModel): + type: str + authorization_type: str = "bearer" + + +class ApiConf(BaseModel): + type: str + url: str + has_user_authentication: bool = False + is_user_authenticated: bool = False + + +class AIPluginConf(BaseModel): + schema_version: str + name_for_model: str + name_for_human: str + description_for_model: str + description_for_human: str + auth: AuthConf + api: ApiConf + logo_url: str + contact_email: str + legal_info_url: str + + +class OpenAIPluginInfo(BaseModel): + ai_plugin: AIPluginConf + open_api: OpenAPISpec + auth: str | None + + +class AddonTokenSource: + def __init__(self, headers: Mapping[str, str], urls: list[str]): + self.headers = headers + self.urls = { + url: f"x-addon-token-{index}" for index, url in enumerate(urls) + } + + def get_token(self, url: str) -> str | None: + return self.headers.get(self.urls[url]) + + @property + def default_auth(self) -> str | None: + return self.headers.get(hdrs.AUTHORIZATION) + + +def get_plugin_auth( + auth_type: str, + authorization_type: str, + url: str, + token_source: AddonTokenSource, +) -> str | None: + if auth_type == "none": + return token_source.default_auth + + if auth_type == "service_http": + service_token = token_source.get_token(url) + if service_token is None: + raise HTTPException( + status_code=HTTP_401_UNAUTHORIZED, + detail=f"Missing token for {url}", + ) + + # Capitalizing because Wolfram, for instance, doesn't like lowercase bearer + return f"{authorization_type.capitalize()} {service_token}" + + raise HTTPException( + status_code=HTTP_401_UNAUTHORIZED, + detail=f"Unknown auth type {auth_type}", + ) + + +async def get_open_ai_plugin_info( + addon_url: str, token_source: AddonTokenSource +) -> OpenAIPluginInfo: + """Takes url pointing to .well-known/ai-plugin.json file""" + logger.info(f"Fetching plugin info from {addon_url}") + ai_plugin = await _parse_ai_plugin_conf(addon_url) + # Resolve relative url + ai_plugin.api.url = urljoin(addon_url, ai_plugin.api.url) + logger.info(f"Fetching plugin spec from {ai_plugin.api.url}") + open_api = await _parse_openapi_spec(ai_plugin.api.url) + + addon_auth = get_plugin_auth( + ai_plugin.auth.type, + ai_plugin.auth.authorization_type, + addon_url, + token_source, + ) + + return OpenAIPluginInfo( + ai_plugin=ai_plugin, open_api=open_api, auth=addon_auth + ) + + +@cached() +async def _parse_ai_plugin_conf(url: str) -> AIPluginConf: + async with aget(url) as response: + # content_type=None to disable validation, sometimes response comes as text/json + return parse_obj_as( + AIPluginConf, await response.json(content_type=None) + ) + + +@cached() +async def _parse_openapi_spec(url: str) -> OpenAPISpec: + async with aget(url) as response: + return OpenAPISpec.from_text(await response.text()) diff --git a/aidial_assistant/utils/requests.py b/aidial_assistant/utils/requests.py new file mode 100644 index 0000000..de785ac --- /dev/null +++ b/aidial_assistant/utils/requests.py @@ -0,0 +1,20 @@ +from contextlib import asynccontextmanager +from typing import AsyncIterator + +from aiohttp import ClientResponse, ClientSession + + +@asynccontextmanager +async def arequest( + method: str, url: str, headers, **kwargs +) -> AsyncIterator[ClientResponse]: + async with ClientSession(headers=headers) as session: + async with session.request(method, url, **kwargs) as response: + yield response + + +# Cannot use Requests.aget(...) from langchain because of a bug: https://github.com/langchain-ai/langchain/issues/7953 +@asynccontextmanager +async def aget(url: str, headers=None) -> AsyncIterator[ClientResponse]: + async with arequest("GET", url, headers) as response: + yield response diff --git a/aidial_assistant/utils/state.py b/aidial_assistant/utils/state.py new file mode 100644 index 0000000..6b66a3e --- /dev/null +++ b/aidial_assistant/utils/state.py @@ -0,0 +1,83 @@ +import json +from enum import Enum +from typing import Any + +from aidial_sdk.chat_completion.request import Message, Role + +from aidial_assistant.application.prompts import MAIN_SYSTEM_DIALOG_MESSAGE +from aidial_assistant.commands.reply import Reply + + +class StateField(str, Enum): + INDEX = "index" + INVOCATIONS = "invocations" + REQUEST = "request" + RESPONSE = "response" + + +def sort_by_index(array: list[Any]): + return array.sort(key=lambda item: int(item[StateField.INDEX])) + + +def get_system_prefix(history: list[Message]) -> str: + first_message = next(iter(history), None) + if first_message is not None and first_message.role == Role.SYSTEM: + return first_message.content or "" + + return "" + + +def parse_history( + history: list[Message], + tools: dict[str, str], +) -> list[Message]: + messages = [ + Message( + role=Role.SYSTEM, + content=MAIN_SYSTEM_DIALOG_MESSAGE.render( + system_prefix=get_system_prefix(history), tools=tools + ), + ) + ] + + for message in history: + if message.role == Role.ASSISTANT: + invocations = ( + message.custom_content.state.get(StateField.INVOCATIONS, []) + if message.custom_content and message.custom_content.state + else [] + ) + sort_by_index(invocations) + for invocation in invocations: + messages.append( + Message( + role=Role.ASSISTANT, + content=invocation[StateField.REQUEST], + ) + ) + messages.append( + Message( + role=Role.USER, content=invocation[StateField.RESPONSE] + ) + ) + + messages.append( + Message( + role=Role.ASSISTANT, + content=json.dumps( + { + "commands": [ + { + "command": Reply.token(), + "args": [message.content or ""], + } + ] + } + ), + ) + ) + + if message.role == Role.USER: + messages.append(message) + + return messages diff --git a/aidial_assistant/utils/text.py b/aidial_assistant/utils/text.py new file mode 100644 index 0000000..3696ec8 --- /dev/null +++ b/aidial_assistant/utils/text.py @@ -0,0 +1,11 @@ +from collections.abc import AsyncIterator + + +def decapitalize(s: str) -> str: + if not s: + return s + return s[0].lower() + s[1:] + + +async def join_string(stream: AsyncIterator[str]) -> str: + return "".join([token async for token in stream]) diff --git a/aidial_assistant/utils/yaml_loader.py b/aidial_assistant/utils/yaml_loader.py new file mode 100644 index 0000000..4ca3c12 --- /dev/null +++ b/aidial_assistant/utils/yaml_loader.py @@ -0,0 +1,51 @@ +import json +import os +from typing import IO, Any + +import yaml + +from aidial_assistant.utils.env import get_env + + +class Loader(yaml.SafeLoader): + """YAML Loader with the state: root directory of the loaded file.""" + + root: str + + def __init__(self, stream: IO) -> None: + """Initialise Loader.""" + + try: + self.root = os.path.split(stream.name)[0] + except AttributeError: + self.root = os.path.curdir + + super().__init__(stream) + + +def construct_include(loader: Loader, node: yaml.Node) -> Any: + """Include file referenced at node.""" + + filename = os.path.abspath( + os.path.join(loader.root, loader.construct_scalar(node)) # type: ignore + ) + extension = os.path.splitext(filename)[1].lstrip(".") + + with open(filename, "r") as f: + if extension in ("yaml", "yml"): + return yaml.load(f, Loader) + elif extension in ("json",): + return json.load(f) + else: + return "".join(f.readlines()) + + +def construct_env(loader: Loader, node: yaml.Node) -> Any: + """Lookup environment variable referenced at node.""" + + name = str(loader.construct_yaml_str(node)) + return get_env(name) + + +yaml.add_constructor("!include", construct_include, Loader) +yaml.add_constructor("!env", construct_env, Loader) diff --git a/debug_server.py b/debug_server.py new file mode 100644 index 0000000..45a6332 --- /dev/null +++ b/debug_server.py @@ -0,0 +1,17 @@ +import argparse + +import uvicorn + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument("--port", help="Addon framework port", default=5000) + + args = parser.parse_args() + uvicorn.run( + "aidial_assistant.app:app", port=int(args.port), env_file=".env" + ) + + +if __name__ == "__main__": + main() diff --git a/examples/openai_api_example.py b/examples/openai_api_example.py new file mode 100644 index 0000000..a6bdf1c --- /dev/null +++ b/examples/openai_api_example.py @@ -0,0 +1,46 @@ +import os +import typing + +import openai + +if __name__ == "__main__": + response: typing.Iterable[typing.Any] = openai.ChatCompletion.create( + api_base="http://localhost:5000", + api_type="azure", + api_version="2023-03-15-preview", + api_key=os.environ["RAIL_PROXY_API_KEY"], + engine="assistant", + model="gpt-4", + temperature=0, + timeout=300, + messages=[ + { + "role": "system", + "content": "Use 'epam-10k-semantic-search' plugin to answer questions about EPAM", + }, + {"role": "user", "content": "What was EPAM revenue in 2022?"}, + { + "role": "assistant", + "content": "EPAM's revenue in 2022 was $4.825 billion.", + "custom_content": { + "state": { + "invocations": [ + { + "index": 0, + "request": '{"commands": [{"command": "run-plugin", "args": ["epam-10k-semantic-search", "What was EPAM revenue in 2022?"]}]}', + "response": '{"responses": [{"status": "SUCCESS", "response": "EPAM\'s revenue in 2022 was $4.825 billion."}]}', + } + ] + } + }, + }, + {"role": "user", "content": "Is it more than in 2021?"}, + ], + addons=[ + { + "url": "https://epam-qna-application.staging.deltixhub.io/semantic-search/.well-known/ai-plugin.json" + } + ], + ) + + print(response) diff --git a/noxfile.py b/noxfile.py new file mode 100644 index 0000000..7a7b28a --- /dev/null +++ b/noxfile.py @@ -0,0 +1,49 @@ +import nox + +nox.options.reuse_existing_virtualenvs = True + +SRC = "." + + +def format_with_args(session: nox.Session, *args): + session.run("autoflake", *args) + session.run("isort", *args) + session.run("black", *args) + + +@nox.session +def lint(session: nox.Session): + """Runs linters and fixers""" + try: + session.run("poetry", "install", external=True) + session.run("poetry", "check", "--lock", external=True) + session.run("pyright", SRC) + session.run("flake8", SRC) + format_with_args(session, SRC, "--check") + except Exception: + session.error( + "linting has failed. Run 'make format' to fix formatting and fix other errors manually" + ) + + +@nox.session +def format(session: nox.Session): + """Runs linters and fixers""" + session.run("poetry", "install", external=True) + format_with_args(session, SRC) + + +def run_tests(session: nox.Session, default_dir: str): + session.run("poetry", "install", external=True) + + if session.posargs: + test_files = session.posargs + else: + test_files = [default_dir] + + session.run("pytest", *test_files) + + +@nox.session +def test(session: nox.Session): + run_tests(session, "tests/unit_tests/") diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 0000000..1da75a4 --- /dev/null +++ b/poetry.lock @@ -0,0 +1,1803 @@ +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. + +[[package]] +name = "aidial-sdk" +version = "0.1.0" +description = "Framework to create applications and model adapters for AI DIAL" +optional = false +python-versions = ">=3.8.1,<4.0" +files = [ + 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RAIL "] +homepage = "https://epam-rail.com" +license = "Apache-2.0" +readme = "README.md" +repository = "https://github.com/epam/ai-dial-assistant.git" + +[tool.poetry.scripts] +clean = "scripts.clean:main" + +[tool.poetry.dependencies] +python = "^3.11" +aiocache = "^0.12.2" +jinja2 = "^3.1.2" +langchain = "^0.0.246" +openai = "^0.28.0" +pydantic = "1.10.13" +pyyaml = "^6.0.1" +typing-extensions = "^4.8.0" +aidial-sdk = "^0.1.0" +aiohttp = "^3.8.5" + +[tool.poetry.group.dev.dependencies] +nox = "^2023.4.22" +python-dotenv = "^1.0.0" + +[tool.poetry.group.test.dependencies] +colorama = "^0.4.6" +pytest = "^7.4.2" + +[tool.poetry.group.lint.dependencies] +flake8 = "^6.0.0" +black = "^23.3.0" +isort = "^5.12.0" +pyright = "^1.1.324" +autoflake = "^2.2.0" + +[tool.pyright] +typeCheckingMode = "basic" +reportUnusedVariable = "error" +reportIncompatibleMethodOverride = "error" +exclude = [ + ".git", + ".venv", + ".nox", + "**/__pycache__" +] + +[tool.black] +line-length = 80 +exclude = ''' +/( + \.git + | \.venv + | \.nox + | \.__pycache__ +)/ +''' + +[tool.isort] +line_length = 80 +profile = "black" + +[tool.autoflake] +ignore_init_module_imports = true +remove_all_unused_imports = true +in_place = true +recursive = true +quiet = true +exclude = [ + "\\.venv", + "\\.nox", +] + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/scripts/clean.py b/scripts/clean.py new file mode 100644 index 0000000..1e3ed33 --- /dev/null +++ b/scripts/clean.py @@ -0,0 +1,32 @@ +import glob +import os +import shutil +from typing import List + + +def remove_dir(directory_path: str): + if os.path.exists(directory_path): + shutil.rmtree(directory_path) + print("Removed: " + directory_path) + + +def remove_recursively(pattern: str, exclude_dirs: List[str] = []): + files = glob.glob(f"**/{pattern}", recursive=True) + + def is_excluded(file: str) -> bool: + return any(dir in file for dir in exclude_dirs) + + for file in files: + if not is_excluded(file): + remove_dir(file) + + +def main(): + remove_dir(".nox") + remove_dir("dist") + remove_recursively("__pycache__", exclude_dirs=[".venv"]) + remove_recursively(".pytest_cache", exclude_dirs=[".venv"]) + + +if __name__ == "__main__": + main() diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/unit_tests/__init__.py b/tests/unit_tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/unit_tests/test_json_stream.py b/tests/unit_tests/test_json_stream.py new file mode 100644 index 0000000..c01d19f --- /dev/null +++ b/tests/unit_tests/test_json_stream.py @@ -0,0 +1,156 @@ +import json +import random +from collections.abc import AsyncIterator +from unittest import IsolatedAsyncioTestCase + +from aidial_assistant.json_stream.json_parser import JsonParser +from aidial_assistant.json_stream.tokenator import Tokenator +from aidial_assistant.utils.text import join_string + +JSON_STRINGS = [ + """ + { + "name": "John", + "age": 30, + "city": "New York" + } + """, + """ + { + "employees": [ + {"firstName": "John", "lastName": "Doe"}, + {"firstName": "Anna", "lastName": "Smith"}, + {"firstName": "Peter", "lastName": "Jones"} + ] + } + """, + """ + { + "name": "John", + "age": 30, + "cars": { + "car1": "Ford", + "car2": "BMW", + "car3": "Fiat" + } + } + """, + """ + { + "name": "John", + "age": 30, + "isMarried": true, + "hobbies": ["Reading", "Cycling", "Hiking"], + "address": { + "street": "123 Main St", + "city": "New York", + "postalCode": "10001" + }, + "children": null + } + """, + """ + { + "students": [ + { + "id": 1, + "name": "John", + "grade": "A" + }, + { + "id": 2, + "name": "Anna", + "grade": "B" + }, + { + "id": 3, + "name": "Peter", + "grade": "C" + } + ] + } + """, + """ + {} + """, + """ + { + "text": "Hello, World!\\nThis is a test.\\tTabbed." + } + """, + """ + { + "text": "Hello, 世界" + } + """, + """ + { + "isActive": true, + "isDeleted": false, + "middleName": null + } + """, + """ + { + "integer": 10, + "negativeInteger": -5, + "float": 20.5, + "negativeFloat": -10.2, + "zero": 0, + "largeNumber": 1234567890 + } + """, + """ + { + "arrayOfIntegers": [1, 2, 3, 4, 5], + "arrayOfFloats": [1.1, 2.2, 3.3, 4.4, 5.5] + } + """, + """ + { + "nestedNumbers": { + "positive": { + "integer": 10, + "float": 20.5 + }, + "negative": { + "integer": -5, + "float": -10.2 + } + } + } + """, + """ + { + "objectWithNumbers": [ + {"id": 1, "value": 10.5}, + {"id": 2, "value": 20.5}, + {"id": 3, "value": 30.5} + ] + } + """, +] + + +async def _tokenize(json_string: str) -> AsyncIterator[str]: + while json_string: + chunk_size = random.randint( + 1, 5 + ) # generate a random size between 1 and 5 + chunk_size = min( + chunk_size, len(json_string) + ) # make sure we don't exceed the length of string + chunk, json_string = json_string[:chunk_size], json_string[chunk_size:] + yield chunk + + +class TestJsonStream(IsolatedAsyncioTestCase): + async def test_json_parsing(self): + for json_string in JSON_STRINGS: + async with JsonParser.parse( + Tokenator(_tokenize(json_string)) + ) as node: + actual = await join_string(node.to_string_tokens()) + expected = json.dumps(json.loads(json_string)) + + self.assertEqual(expected, actual) diff --git a/wolfram/.well-known/ai-plugin.json b/wolfram/.well-known/ai-plugin.json new file mode 100644 index 0000000..56196e9 --- /dev/null +++ b/wolfram/.well-known/ai-plugin.json @@ -0,0 +1,19 @@ +{ + "schema_version":"v1", + "name_for_model":"Wolfram", + "name_for_human":"Wolfram", + "description_for_model":"Access dynamic computation and curated data from WolframAlpha.\nGeneral guidelines:\n- Use only getWolframAlphaResults endpoint.\n- Use getWolframAlphaResults for natural-language queries in English and for problems solvable with Wolfram Language code; translate non-English queries before sending, then respond in the original language.\n- Suggest only Wolfram Language for external computation.\n- Inform users if information is not from Wolfram endpoints.\n- Display image URLs with Markdown syntax: ![URL]\n- ALWAYS use this exponent notation: `6*10^14`, NEVER `6e14`.\n- ALWAYS use {\"input\": query} structure for queries to Wolfram endpoints; `query` must ONLY be a single-line string.\n- ALWAYS use proper Markdown formatting for all math, scientific, and chemical formulas, symbols, etc.: '$$\\n[expression]\\n$$' for standalone cases and '\\( [expression] \\)' when inline.\n- Format inline Wolfram Language code with Markdown code formatting.\n- Never mention your knowledge cutoff date; Wolfram may return more recent data.\ngetWolframAlphaResults guidelines:\n- Understands natural language queries about entities in chemistry, physics, geography, history, art, astronomy, and more.\n- Performs mathematical calculations, date and unit conversions, formula solving, etc.\n- Convert inputs to simplified keyword queries whenever possible (e.g. convert \"how many people live in France\" to \"France population\").\n- Use ONLY single-letter variable names, with or without integer subscript (e.g., n, n1, n_1).\n- Use named physical constants (e.g., 'speed of light') without numerical substitution.\n- Include a space between compound units (e.g., \"\u03A9 m\" for \"ohm*meter\").\n- To solve for a variable in an equation with units, consider solving a corresponding equation without units; exclude counting units (e.g., books), include genuine units (e.g., kg).\n- If data for multiple properties is needed, make separate calls for each property.\n- If a Wolfram Alpha result is not relevant to the query:\n -- If Wolfram provides multiple 'Assumptions' for a query, choose the more relevant one(s) without explaining the initial result. If you are unsure, ask the user to choose.\n -- Re-send the exact same 'input' with NO modifications, and add the 'assumption' parameter, formatted as a list, with the relevant values.\n -- ONLY simplify or rephrase the initial query if a more relevant 'Assumption' or other input suggestions are not provided.\n -- Do not explain each step unless user input is needed. Proceed directly to making a better API call based on the available assumptions.\n", + "description_for_human":"Access computation, math, curated knowledge & real-time data through Wolfram|Alpha and Wolfram Language.", + "auth":{ + "type":"service_http", + "authorization_type":"bearer" + }, + "api":{ + "url":"apispec.json", + "has_user_authentication":false, + "type":"openapi" + }, + "logo_url":"https://www.wolframcdn.com/images/icons/Wolfram.png", + "contact_email":"chatgpt-contact@wolframalpha.com", + "legal_info_url":"https://products.wolframalpha.com/api/commercial-termsofuse" +} diff --git a/wolfram/.well-known/apispec.json b/wolfram/.well-known/apispec.json new file mode 100644 index 0000000..a033e19 --- /dev/null +++ b/wolfram/.well-known/apispec.json @@ -0,0 +1,71 @@ +{ + "openapi":"3.1.0", + "info":{ + "title":"Wolfram", + "version":"v0.1" + }, + "servers":[ + { + "url":"https://www.wolframalpha.com", + "description":"Wolfram Server for ChatGPT" + } + ], + "paths": { + "/api/v1/llm-api": { + "get":{ + "operationId":"getWolframAlphaResults", + "externalDocs":"https://products.wolframalpha.com/api", + "summary":"Get Wolfram|Alpha results", + "responses":{ + "200":{ + "description":"The result of the Wolfram|Alpha query", + "content":{ + "text/plain":{ + } + } + }, + "400":{ + "description":"The request is missing the 'input' parameter" + }, + "403":{ + "description":"Unauthorized" + }, + "500":{ + "description":"Wolfram|Alpha was unable to generate a result" + }, + "501":{ + "description":"Wolfram|Alpha was unable to generate a result" + }, + "503":{ + "description":"Service temporarily unavailable. This may be the result of too many requests." + } + }, + "parameters":[ + { + "name":"input", + "in":"query", + "description":"the input", + "required":true, + "schema":{ + "type":"string" + } + }, + { + "name":"assumption", + "in":"query", + "description":"the assumption to use, passed back from a previous query with the same input.", + "required":false, + "explode":true, + "style":"form", + "schema":{ + "type":"array", + "items":{ + "type":"string" + } + } + } + ] + } + } + } +}