From 7bc7cd46712708486f09e422c28620753effaf4e Mon Sep 17 00:00:00 2001 From: SwiftyOS Date: Fri, 15 Sep 2023 21:26:18 +0200 Subject: [PATCH] added swifty agent --- autogpts/swifty/.env.example | 11 + autogpts/swifty/.flake8 | 15 + autogpts/swifty/.gitignore | 174 + autogpts/swifty/.pre-commit-config.yaml | 43 + autogpts/swifty/Dockerfile | 40 + autogpts/swifty/README.md | 66 + autogpts/swifty/__init__.py | 0 .../swifty/agbenchmark_config/config.json | 4 + autogpts/swifty/forge/__init__.py | 0 autogpts/swifty/forge/__main__.py | 53 + autogpts/swifty/forge/agent.py | 106 + .../prompts/gpt-3.5-turbo/role_selection.j2 | 9 + .../prompts/techniques/chain-of-thought.j2 | 2 + .../swifty/forge/prompts/techniques/expert.j2 | 1 + .../forge/prompts/techniques/few-shot.j2 | 5 + autogpts/swifty/forge/sdk/__init__.py | 25 + .../swifty/forge/sdk/abilities/__init__.py | 0 .../forge/sdk/abilities/file_system/files.py | 35 + .../swifty/forge/sdk/abilities/registry.py | 187 + autogpts/swifty/forge/sdk/agent.py | 191 + autogpts/swifty/forge/sdk/agent_test.py | 107 + autogpts/swifty/forge/sdk/ai_actions.py | 0 autogpts/swifty/forge/sdk/ai_memory.py | 0 autogpts/swifty/forge/sdk/ai_planning.py | 0 autogpts/swifty/forge/sdk/ai_profile.py | 25 + autogpts/swifty/forge/sdk/db.py | 468 +++ autogpts/swifty/forge/sdk/db_test.py | 325 ++ autogpts/swifty/forge/sdk/errors.py | 2 + autogpts/swifty/forge/sdk/forge_log.py | 203 + autogpts/swifty/forge/sdk/llm.py | 0 autogpts/swifty/forge/sdk/memory/__init__.py | 1 + autogpts/swifty/forge/sdk/memory/memstore.py | 306 ++ .../swifty/forge/sdk/memory/memstore_test.py | 58 + autogpts/swifty/forge/sdk/middlewares.py | 34 + autogpts/swifty/forge/sdk/prompting.py | 115 + autogpts/swifty/forge/sdk/routes/__init__.py | 0 .../swifty/forge/sdk/routes/agent_protocol.py | 611 +++ autogpts/swifty/forge/sdk/schema.py | 189 + autogpts/swifty/forge/sdk/workspace.py | 76 + autogpts/swifty/forge/sdk/workspace_test.py | 47 + autogpts/swifty/integrations/README.md | 5 + autogpts/swifty/mypy.ini | 13 + autogpts/swifty/poetry.lock | 3693 +++++++++++++++++ autogpts/swifty/pyproject.toml | 57 + autogpts/swifty/run | 11 + autogpts/swifty/run_benchmark.sh | 10 + 46 files changed, 7323 insertions(+) create mode 100644 autogpts/swifty/.env.example create mode 100644 autogpts/swifty/.flake8 create mode 100644 autogpts/swifty/.gitignore create mode 100644 autogpts/swifty/.pre-commit-config.yaml create mode 100644 autogpts/swifty/Dockerfile create mode 100644 autogpts/swifty/README.md create mode 100644 autogpts/swifty/__init__.py create mode 100644 autogpts/swifty/agbenchmark_config/config.json create mode 100644 autogpts/swifty/forge/__init__.py create mode 100644 autogpts/swifty/forge/__main__.py create mode 100644 autogpts/swifty/forge/agent.py create mode 100644 autogpts/swifty/forge/prompts/gpt-3.5-turbo/role_selection.j2 create mode 100644 autogpts/swifty/forge/prompts/techniques/chain-of-thought.j2 create mode 100644 autogpts/swifty/forge/prompts/techniques/expert.j2 create mode 100644 autogpts/swifty/forge/prompts/techniques/few-shot.j2 create mode 100644 autogpts/swifty/forge/sdk/__init__.py create mode 100644 autogpts/swifty/forge/sdk/abilities/__init__.py create mode 100644 autogpts/swifty/forge/sdk/abilities/file_system/files.py create mode 100644 autogpts/swifty/forge/sdk/abilities/registry.py create mode 100644 autogpts/swifty/forge/sdk/agent.py create mode 100644 autogpts/swifty/forge/sdk/agent_test.py create mode 100644 autogpts/swifty/forge/sdk/ai_actions.py create mode 100644 autogpts/swifty/forge/sdk/ai_memory.py create mode 100644 autogpts/swifty/forge/sdk/ai_planning.py create mode 100644 autogpts/swifty/forge/sdk/ai_profile.py create mode 100644 autogpts/swifty/forge/sdk/db.py create mode 100644 autogpts/swifty/forge/sdk/db_test.py create mode 100644 autogpts/swifty/forge/sdk/errors.py create mode 100644 autogpts/swifty/forge/sdk/forge_log.py create mode 100644 autogpts/swifty/forge/sdk/llm.py create mode 100644 autogpts/swifty/forge/sdk/memory/__init__.py create mode 100644 autogpts/swifty/forge/sdk/memory/memstore.py create mode 100644 autogpts/swifty/forge/sdk/memory/memstore_test.py create mode 100644 autogpts/swifty/forge/sdk/middlewares.py create mode 100644 autogpts/swifty/forge/sdk/prompting.py create mode 100644 autogpts/swifty/forge/sdk/routes/__init__.py create mode 100644 autogpts/swifty/forge/sdk/routes/agent_protocol.py create mode 100644 autogpts/swifty/forge/sdk/schema.py create mode 100644 autogpts/swifty/forge/sdk/workspace.py create mode 100644 autogpts/swifty/forge/sdk/workspace_test.py create mode 100644 autogpts/swifty/integrations/README.md create mode 100644 autogpts/swifty/mypy.ini create mode 100644 autogpts/swifty/poetry.lock create mode 100644 autogpts/swifty/pyproject.toml create mode 100755 autogpts/swifty/run create mode 100755 autogpts/swifty/run_benchmark.sh diff --git a/autogpts/swifty/.env.example b/autogpts/swifty/.env.example new file mode 100644 index 00000000..e1c3e0a2 --- /dev/null +++ b/autogpts/swifty/.env.example @@ -0,0 +1,11 @@ +# Your OpenAI API Key. If GPT-4 is available it will use that, otherwise will use 3.5-turbo +OPENAI_API_KEY=abc +# If you want to enable Helicone proxy and caching +HELICONE_KEY=abc +OPENAI_API_BASE=https://oai.hconeai.com/v1 + +# Control log level +LOG_LEVEL=INFO +DATABASE_STRING="sqlite:///agent.db" +PORT=8000 +AGENT_WORKSPACE="agbenchmark_config/workspace" diff --git a/autogpts/swifty/.flake8 b/autogpts/swifty/.flake8 new file mode 100644 index 00000000..fb435b4a --- /dev/null +++ b/autogpts/swifty/.flake8 @@ -0,0 +1,15 @@ +[flake8] +max-line-length = 88 +select = "E303, W293, W292, E305, E231, E302" +exclude = + .tox, + __pycache__, + *.pyc, + .env + venv*/*, + .venv/*, + reports/*, + dist/*, + agent/*, + code, + agbenchmark/challenges/* diff --git a/autogpts/swifty/.gitignore b/autogpts/swifty/.gitignore new file mode 100644 index 00000000..419c657c --- /dev/null +++ b/autogpts/swifty/.gitignore @@ -0,0 +1,174 @@ +## Original ignores +autogpt/keys.py +autogpt/*.json +**/auto_gpt_workspace/* +*.mpeg +.env +azure.yaml +ai_settings.yaml +last_run_ai_settings.yaml +.vscode +.idea/* +auto-gpt.json +log.txt +log-ingestion.txt +logs +*.log +*.mp3 +mem.sqlite3 +venvAutoGPT + +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +plugins/ +plugins_config.yaml +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +pip-wheel-metadata/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ +site/ + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +.python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.direnv/ +.env +.venv +env/ +venv*/ +ENV/ +env.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ +llama-* +vicuna-* + +# mac +.DS_Store + +openai/ + +# news +CURRENT_BULLETIN.md + +agbenchmark_config/workspace +agbenchmark_config/reports +*.sqlite +.agbench +.agbenchmark +.benchmarks +.mypy_cache +.pytest_cache +.vscode +ig_* +agent.db diff --git a/autogpts/swifty/.pre-commit-config.yaml b/autogpts/swifty/.pre-commit-config.yaml new file mode 100644 index 00000000..d846a084 --- /dev/null +++ b/autogpts/swifty/.pre-commit-config.yaml @@ -0,0 +1,43 @@ +repos: + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.4.0 + hooks: + - id: check-added-large-files + args: ['--maxkb=500'] + - id: check-byte-order-marker + - id: check-case-conflict + - id: check-merge-conflict + - id: check-symlinks + - id: debug-statements + + - repo: https://github.com/pycqa/isort + rev: 5.12.0 + hooks: + - id: isort + language_version: python3.11 + + - repo: https://github.com/psf/black + rev: 23.3.0 + hooks: + - id: black + language_version: python3.11 + + # - repo: https://github.com/pre-commit/mirrors-mypy + # rev: 'v1.3.0' + # hooks: + # - id: mypy + + - repo: local + hooks: + - id: autoflake + name: autoflake + entry: autoflake --in-place --remove-all-unused-imports --recursive --ignore-init-module-imports --ignore-pass-after-docstring forge/autogpt + language: python + types: [ python ] + # Mono repo has bronken this TODO: fix + # - id: pytest-check + # name: pytest-check + # entry: pytest + # language: system + # pass_filenames: false + # always_run: true diff --git a/autogpts/swifty/Dockerfile b/autogpts/swifty/Dockerfile new file mode 100644 index 00000000..e102f664 --- /dev/null +++ b/autogpts/swifty/Dockerfile @@ -0,0 +1,40 @@ +# Use an official Python runtime as a parent image +FROM python:3.11-slim-buster as base + +# Set work directory in the container +WORKDIR /app + +# Install system dependencies +RUN apt-get update \ + && apt-get install -y build-essential curl ffmpeg \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* + + +# Install Poetry - respects $POETRY_VERSION & $POETRY_HOME +ENV POETRY_VERSION=1.1.8 \ + POETRY_HOME="/opt/poetry" \ + POETRY_NO_INTERACTION=1 \ + POETRY_VIRTUALENVS_CREATE=false \ + PATH="$POETRY_HOME/bin:$PATH" + +RUN pip3 install poetry + +COPY pyproject.toml poetry.lock* /app/ + +# Project initialization: +RUN poetry install --no-interaction --no-ansi + +ENV PYTHONPATH="/app:$PYTHONPATH" + +FROM base as dependencies + +# Copy project +COPY . /app + + +# Make port 80 available to the world outside this container +EXPOSE 8000 + +# Run the application when the container launches +CMD ["poetry", "run", "python", "autogpt/__main__.py"] \ No newline at end of file diff --git a/autogpts/swifty/README.md b/autogpts/swifty/README.md new file mode 100644 index 00000000..0170e923 --- /dev/null +++ b/autogpts/swifty/README.md @@ -0,0 +1,66 @@ +# 🚀 **Auto-GPT-Forge**: Build Your Own Auto-GPT Agent! 🧠 +## (Release date: very soon) + + +### 🌌 Dive into the Universe of Auto-GPT Creation! 🌌 + +Ever dreamt of becoming the genius behind an AI agent? Dive into the *Forge*, where **you** become the creator! + +--- + +### 🛠️ **Why Auto-GPT-Forge?** +- 💤 **No More Boilerplate!** Don't let the mundane tasks stop you. Fork and build without the headache of starting from scratch! +- 🧠 **Brain-centric Development!** All the tools you need so you can spend 100% of your time on what matters - crafting the brain of your AI! +- 🛠️ **Tooling ecosystem!** We work with the best in class tools to bring you the best experience possible! +--- + +### 🚀 **Get Started!** + +Intial setup: +1. **[Fork the Project](https://github.com/Significant-Gravitas/Auto-GPT)** +2. Clone your repo +3. run `create_new_agent.sh name` changing name to the name you want to give your agent +4. `cd autogpts/name` where name is the name you entered above +5. Install [Poetry](https://python-poetry.org/docs/#installation) if you haven't already +6. Run `poetry install` to install the project dependencies +7. Activate the virtual environment with `poetry shell` + +--- + +### 🏃‍♂️ **Running Your Agent** + + +1. Make sure you're in the poetry shell. If not, activate it with `poetry shell`. +2. Copy the example environment file with `cp .env.example .env`. +3. Open the `.env` file and add your OpenAI API key. You can get it from [OpenAI API](https://platform.openai.com/docs/developer-quickstart/). +4. Run your agent with `./run`. This command runs the server and watches for changes. + +### 📊 **Benchmarking** + + +To run the benchmark, use the `agbenchmark start` command. Here are some options you can use with this command: + +- `--backend`: If it's being run from the cli +- `-c, --category TEXT`: Specific category to run +- `-s, --skip-category TEXT`: Skips preventing the tests from this category from running +- `--test TEXT`: Specific test to run +- `--maintain`: Runs only regression tests +- `--improve`: Run only non-regression tests +- `--explore`: Only attempt challenges that have never been beaten +- `--mock`: Run with mock +- `--no_dep`: Run without dependencies +- `--nc`: Run without cutoff +- `--keep-answers`: Keep answers +- `--cutoff TEXT`: Set or override tests cutoff (seconds) +- `--help`: Show this message and exit. + +For example, if you want to run a specific test, you can use the `--test` option like this: +`agbenchmark start --test your_test_name` + +If you want to run the benchmark without dependencies, you can use the `--no_dep` option like this: +`agbenchmark start --no_dep` + +You can combine multiple options as well. For example, to run a specific test without dependencies, you can do: +`agbenchmark start --test your_test_name --no_dep` + +Remember to replace `your_test_name` with the name of the test you want to run. diff --git a/autogpts/swifty/__init__.py b/autogpts/swifty/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/autogpts/swifty/agbenchmark_config/config.json b/autogpts/swifty/agbenchmark_config/config.json new file mode 100644 index 00000000..f0b66083 --- /dev/null +++ b/autogpts/swifty/agbenchmark_config/config.json @@ -0,0 +1,4 @@ +{ + "workspace": {"input": "agbenchmark_config/workspace", "output": "agbenchmark_config/workspace"}, + "host": "http://localhost:8000" +} diff --git a/autogpts/swifty/forge/__init__.py b/autogpts/swifty/forge/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/autogpts/swifty/forge/__main__.py b/autogpts/swifty/forge/__main__.py new file mode 100644 index 00000000..f20644b7 --- /dev/null +++ b/autogpts/swifty/forge/__main__.py @@ -0,0 +1,53 @@ +import os + +from dotenv import load_dotenv + +load_dotenv() +import forge.sdk.forge_log + +forge.sdk.forge_log.setup_logger() + + +LOG = forge.sdk.forge_log.ForgeLogger(__name__) + +logo = """\n\n + d8888 888 .d8888b. 8888888b. 88888888888 + d88888 888 d88P Y88b 888 Y88b 888 + d88P888 888 888 888 888 888 888 + d88P 888 888 888 888888 .d88b. 888 888 d88P 888 + d88P 888 888 888 888 d88""88b 888 88888 8888888P" 888 + d88P 888 888 888 888 888 888 888 888 888 888 + d8888888888 Y88b 888 Y88b. Y88..88P Y88b d88P 888 888 +d88P 888 "Y88888 "Y888 "Y88P" "Y8888P88 888 888 + + + + 8888888888 + 888 + 888 + 8888888 .d88b. 888d888 .d88b. .d88b. + 888 d88""88b 888P" d88P"88b d8P Y8b + 888 888 888 888 888 888 88888888 + 888 Y88..88P 888 Y88b 888 Y8b. + 888 "Y88P" 888 "Y88888 "Y8888 + 888 + Y8b d88P + "Y88P" v0.1.0 +\n""" + +if __name__ == "__main__": + """Runs the agent server""" + + # modules are imported here so that logging is setup first + import forge.agent + import forge.sdk.db + from forge.sdk.workspace import LocalWorkspace + print(logo) + database_name = os.getenv("DATABASE_STRING") + workspace = LocalWorkspace(os.getenv("AGENT_WORKSPACE")) + port = os.getenv("PORT") + + database = forge.sdk.db.AgentDB(database_name, debug_enabled=True) + agent = forge.agent.ForgeAgent(database=database, workspace=workspace) + + agent.start(port=port) diff --git a/autogpts/swifty/forge/agent.py b/autogpts/swifty/forge/agent.py new file mode 100644 index 00000000..d220fa14 --- /dev/null +++ b/autogpts/swifty/forge/agent.py @@ -0,0 +1,106 @@ +from forge.sdk import Agent, AgentDB, Step, StepRequestBody, Workspace + + +class ForgeAgent(Agent): + """ + The goal of the Forge is to take care of the boilerplate code so you can focus on + agent design. + + There is a great paper surveying the agent landscape: https://arxiv.org/abs/2308.11432 + Which I would highly recommend reading as it will help you understand the possabilities. + + Here is a summary of the key components of an agent: + + Anatomy of an agent: + - Profile + - Memory + - Planning + - Action + + Profile: + + Agents typically perform a task by assuming specific roles. For example, a teacher, + a coder, a planner etc. In using the profile in the llm prompt it has been shown to + improve the quality of the output. https://arxiv.org/abs/2305.14688 + + Additionally baed on the profile selected, the agent could be configured to use a + different llm. The possabilities are endless and the profile can be selected selected + dynamically based on the task at hand. + + Memory: + + Memory is critical for the agent to acculmulate experiences, self-evolve, and behave + in a more consistent, reasonable, and effective manner. There are many approaches to + memory. However, some thoughts: there is long term and short term or working memory. + You may want different approaches for each. There has also been work exploring the + idea of memory reflection, which is the ability to assess its memories and re-evaluate + them. For example, condensting short term memories into long term memories. + + Planning: + + When humans face a complex task, they first break it down into simple subtasks and then + solve each subtask one by one. The planning module empowers LLM-based agents with the ability + to think and plan for solving complex tasks, which makes the agent more comprehensive, + powerful, and reliable. The two key methods to consider are: Planning with feedback and planning + without feedback. + + Action: + + Actions translate the agents decisions into specific outcomes. For example, if the agent + decides to write a file, the action would be to write the file. There are many approaches you + could implement actions. + + The Forge has a basic module for each of these areas. However, you are free to implement your own. + This is just a starting point. + """ + + def __init__(self, database: AgentDB, workspace: Workspace): + """ + The database is used to store tasks, steps and artifact metadata. The workspace is used to + store artifacts. The workspace is a directory on the file system. + + Feel free to create subclasses of the database and workspace to implement your own storage + """ + super().__init__(database, workspace) + + async def execute_step(self, task_id: str, step_request: StepRequestBody) -> Step: + """ + The agent protocol, which is the core of the Forge, works by creating a task and then + executing steps for that task. This method is called when the agent is asked to execute + a step. + + The task that is created contains an input string, for the bechmarks this is the task + the agent has been asked to solve and additional input, which is a dictionary and + could contain anything. + + If you want to get the task use: + + ``` + task = await self.db.get_task(task_id) + ``` + + The step request body is essentailly the same as the task request and contains an input + string, for the bechmarks this is the task the agent has been asked to solve and + additional input, which is a dictionary and could contain anything. + + You need to implement logic that will take in this step input and output the completed step + as a step object. You can do everything in a single step or you can break it down into + multiple steps. Returning a request to continue in the step output, the user can then decide + if they want the agent to continue or not. + """ + + # An example that + self.workspace.write(task_id=task_id, path="output.txt", data=b"Washington D.C") + step = await self.db.create_step( + task_id=task_id, input=step_request, is_last=True + ) + artifact = await self.db.create_artifact( + task_id=task_id, + step_id=step.step_id, + file_name="output.txt", + relative_path="", + agent_created=True, + ) + step.output = "Washington D.C" + + return step diff --git a/autogpts/swifty/forge/prompts/gpt-3.5-turbo/role_selection.j2 b/autogpts/swifty/forge/prompts/gpt-3.5-turbo/role_selection.j2 new file mode 100644 index 00000000..cfc359a1 --- /dev/null +++ b/autogpts/swifty/forge/prompts/gpt-3.5-turbo/role_selection.j2 @@ -0,0 +1,9 @@ +{% extends "techniques/expert.j2" %} +{% block expert %}Human Resources{% endblock %} +{% block prompt %} +Generate a profile for an expert who can help with the task '{{ task }}'. Please provide the following details: +Name: Enter the expert's name +Expertise: Specify the area in which the expert specializes +Goals: List 4 goals that the expert aims to achieve in order to help with the task +Assessment: Describe how the expert will assess whether they have successfully completed the task +{% endblock %} \ No newline at end of file diff --git a/autogpts/swifty/forge/prompts/techniques/chain-of-thought.j2 b/autogpts/swifty/forge/prompts/techniques/chain-of-thought.j2 new file mode 100644 index 00000000..dc6357f4 --- /dev/null +++ b/autogpts/swifty/forge/prompts/techniques/chain-of-thought.j2 @@ -0,0 +1,2 @@ +{% block prompt %} {% endblock %} +Let's work this out in a step by step way to be sure we have the right answer. \ No newline at end of file diff --git a/autogpts/swifty/forge/prompts/techniques/expert.j2 b/autogpts/swifty/forge/prompts/techniques/expert.j2 new file mode 100644 index 00000000..cacc966c --- /dev/null +++ b/autogpts/swifty/forge/prompts/techniques/expert.j2 @@ -0,0 +1 @@ +Answer as an expert in {% block expert %} {% endblock %}. {% block prompt %}{% endblock %} \ No newline at end of file diff --git a/autogpts/swifty/forge/prompts/techniques/few-shot.j2 b/autogpts/swifty/forge/prompts/techniques/few-shot.j2 new file mode 100644 index 00000000..e65878d8 --- /dev/null +++ b/autogpts/swifty/forge/prompts/techniques/few-shot.j2 @@ -0,0 +1,5 @@ +{% block prompt %} {% endblock %} +Examples: + {% for example in examples %} + - {{ example }} + {% endfor %} diff --git a/autogpts/swifty/forge/sdk/__init__.py b/autogpts/swifty/forge/sdk/__init__.py new file mode 100644 index 00000000..4c495512 --- /dev/null +++ b/autogpts/swifty/forge/sdk/__init__.py @@ -0,0 +1,25 @@ +""" +The Forge SDK. This is the core of the Forge. It contains the agent protocol, which is the +core of the Forge. +""" +from .agent import Agent +from .db import AgentDB +from .forge_log import ForgeLogger +from .prompting import PromptEngine +from .schema import ( + Artifact, + ArtifactUpload, + Pagination, + Status, + Step, + StepInput, + StepOutput, + StepRequestBody, + Task, + TaskArtifactsListResponse, + TaskInput, + TaskListResponse, + TaskRequestBody, + TaskStepsListResponse, +) +from .workspace import LocalWorkspace, Workspace diff --git a/autogpts/swifty/forge/sdk/abilities/__init__.py b/autogpts/swifty/forge/sdk/abilities/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/autogpts/swifty/forge/sdk/abilities/file_system/files.py b/autogpts/swifty/forge/sdk/abilities/file_system/files.py new file mode 100644 index 00000000..052314d1 --- /dev/null +++ b/autogpts/swifty/forge/sdk/abilities/file_system/files.py @@ -0,0 +1,35 @@ +from typing import List + +from ..registry import ability + + +@ability( + name="list_files", + description="List files in a directory", + parameters=[ + { + "name": "path", + "description": "Path to the directory", + "type": "string", + "required": True, + }, + { + "name": "recursive", + "description": "Recursively list files", + "type": "boolean", + "required": False, + }, + ], + output_type="list[str]", +) +def list_files(agent, path: str, recursive: bool = False) -> List[str]: + """ + List files in a directory + """ + import glob + import os + + if recursive: + return glob.glob(os.path.join(path, "**"), recursive=True) + else: + return os.listdir(path) diff --git a/autogpts/swifty/forge/sdk/abilities/registry.py b/autogpts/swifty/forge/sdk/abilities/registry.py new file mode 100644 index 00000000..ef3337e7 --- /dev/null +++ b/autogpts/swifty/forge/sdk/abilities/registry.py @@ -0,0 +1,187 @@ +import glob +import importlib +import inspect +import os +from typing import Any, Callable, List + +import pydantic + + +class AbilityParameter(pydantic.BaseModel): + """ + This class represents a parameter for an ability. + + Attributes: + name (str): The name of the parameter. + description (str): A brief description of what the parameter does. + type (str): The type of the parameter. + required (bool): A flag indicating whether the parameter is required or optional. + """ + + name: str + description: str + type: str + required: bool + + +class Ability(pydantic.BaseModel): + """ + This class represents an ability in the system. + + Attributes: + name (str): The name of the ability. + description (str): A brief description of what the ability does. + method (Callable): The method that implements the ability. + parameters (List[AbilityParameter]): A list of parameters that the ability requires. + output_type (str): The type of the output that the ability returns. + """ + + name: str + description: str + method: Callable + parameters: List[AbilityParameter] + output_type: str + category: str | None = None + + def __call__(self, *args: Any, **kwds: Any) -> Any: + """ + This method allows the class instance to be called as a function. + + Args: + *args: Variable length argument list. + **kwds: Arbitrary keyword arguments. + + Returns: + Any: The result of the method call. + """ + return self.method(*args, **kwds) + + def __str__(self) -> str: + """ + This method returns a string representation of the class instance. + + Returns: + str: A string representation of the class instance. + """ + func_summary = f"{self.name}(" + for param in self.parameters: + func_summary += f"{param.name}: {param.type}, " + func_summary = func_summary[:-2] + ")" + func_summary += f" -> {self.output_type}. Usage: {self.description}," + return func_summary + + +def ability( + name: str, description: str, parameters: List[AbilityParameter], output_type: str +): + def decorator(func): + func_params = inspect.signature(func).parameters + param_names = set( + [AbilityParameter.parse_obj(param).name for param in parameters] + ) + param_names.add("agent") + func_param_names = set(func_params.keys()) + if param_names != func_param_names: + raise ValueError( + f"Mismatch in parameter names. Ability Annotation includes {param_names}, but function acatually takes {func_param_names} in function {func.__name__} signature" + ) + func.ability = Ability( + name=name, + description=description, + parameters=parameters, + method=func, + output_type=output_type, + ) + return func + + return decorator + + +class AbilityRegister: + def __init__(self) -> None: + self.abilities = {} + self.register_abilities() + + def register_abilities(self) -> None: + print(os.path.join(os.path.dirname(__file__), "*.py")) + for ability_path in glob.glob( + os.path.join(os.path.dirname(__file__), "**/*.py"), recursive=True + ): + if not os.path.basename(ability_path) in [ + "__init__.py", + "registry.py", + ]: + ability = os.path.relpath( + ability_path, os.path.dirname(__file__) + ).replace("/", ".") + try: + module = importlib.import_module( + f".{ability[:-3]}", package="autogpt.sdk.abilities" + ) + for attr in dir(module): + func = getattr(module, attr) + if hasattr(func, "ability"): + ab = func.ability + + ab.category = ( + ability.split(".")[0].lower().replace("_", " ") + if len(ability.split(".")) > 1 + else "general" + ) + self.abilities[func.ability.name] = func.ability + except Exception as e: + print(f"Error occurred while registering abilities: {str(e)}") + + def list_abilities(self) -> List[Ability]: + return self.abilities + + def abilities_description(self) -> str: + abilities_by_category = {} + for ability in self.abilities.values(): + if ability.category not in abilities_by_category: + abilities_by_category[ability.category] = [] + abilities_by_category[ability.category].append(str(ability)) + + abilities_description = "" + for category, abilities in abilities_by_category.items(): + if abilities_description != "": + abilities_description += "\n" + abilities_description += f"{category}:" + for ability in abilities: + abilities_description += f" {ability}" + + return abilities_description + + def run_ability(self, agent, ability_name: str, *args: Any, **kwds: Any) -> Any: + """ + This method runs a specified ability with the provided arguments and keyword arguments. + + The agent is passed as the first argument to the ability. This allows the ability to access and manipulate + the agent's state as needed. + + Args: + agent: The agent instance. + ability_name (str): The name of the ability to run. + *args: Variable length argument list. + **kwds: Arbitrary keyword arguments. + + Returns: + Any: The result of the ability execution. + + Raises: + Exception: If there is an error in running the ability. + """ + try: + ability = self.abilities[ability_name] + return ability(agent, *args, **kwds) + except Exception: + raise + + +if __name__ == "__main__": + import sys + + sys.path.append("/Users/swifty/dev/forge/forge") + register = AbilityRegister() + print(register.abilities_description()) + print(register.run_ability(None, "list_files", "/Users/swifty/dev/forge/forge")) diff --git a/autogpts/swifty/forge/sdk/agent.py b/autogpts/swifty/forge/sdk/agent.py new file mode 100644 index 00000000..e96cd643 --- /dev/null +++ b/autogpts/swifty/forge/sdk/agent.py @@ -0,0 +1,191 @@ +import asyncio +import os +from uuid import uuid4 + +from fastapi import APIRouter, FastAPI, UploadFile +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import FileResponse +from hypercorn.asyncio import serve +from hypercorn.config import Config + +from .db import AgentDB +from .errors import NotFoundError +from .forge_log import ForgeLogger +from .middlewares import AgentMiddleware +from .routes.agent_protocol import base_router +from .schema import * +from .workspace import Workspace + +LOG = ForgeLogger(__name__) + + +class Agent: + def __init__(self, database: AgentDB, workspace: Workspace): + self.db = database + self.workspace = workspace + + def start(self, port: int = 8000, router: APIRouter = base_router): + """ + Start the agent server. + """ + config = Config() + config.bind = [f"localhost:{port}"] + app = FastAPI( + title="Auto-GPT Forge", + description="Modified version of The Agent Protocol.", + version="v0.4", + ) + + # Add CORS middleware + origins = [ + "http://localhost:5000", + "http://127.0.0.1:5000", + # Add any other origins you want to whitelist + ] + + app.add_middleware( + CORSMiddleware, + allow_origins=origins, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], + ) + + app.include_router(router) + app.add_middleware(AgentMiddleware, agent=self) + config.loglevel = "ERROR" + config.bind = [f"0.0.0.0:{port}"] + + LOG.info(f"Agent server starting on http://{config.bind[0]}") + asyncio.run(serve(app, config)) + + async def create_task(self, task_request: TaskRequestBody) -> Task: + """ + Create a task for the agent. + """ + try: + task = await self.db.create_task( + input=task_request.input, + additional_input=task_request.additional_input, + ) + return task + except Exception as e: + raise + + async def list_tasks(self, page: int = 1, pageSize: int = 10) -> TaskListResponse: + """ + List all tasks that the agent has created. + """ + try: + tasks, pagination = await self.db.list_tasks(page, pageSize) + response = TaskListResponse(tasks=tasks, pagination=pagination) + return response + except Exception as e: + raise + + async def get_task(self, task_id: str) -> Task: + """ + Get a task by ID. + """ + try: + task = await self.db.get_task(task_id) + except Exception as e: + raise + return task + + async def list_steps( + self, task_id: str, page: int = 1, pageSize: int = 10 + ) -> TaskStepsListResponse: + """ + List the IDs of all steps that the task has created. + """ + try: + steps, pagination = await self.db.list_steps(task_id, page, pageSize) + response = TaskStepsListResponse(steps=steps, pagination=pagination) + return response + except Exception as e: + raise + + async def execute_step(self, task_id: str, step_request: StepRequestBody) -> Step: + """ + Create a step for the task. + """ + raise NotImplementedError + + async def get_step(self, task_id: str, step_id: str) -> Step: + """ + Get a step by ID. + """ + try: + step = await self.db.get_step(task_id, step_id) + return step + except Exception as e: + raise + + async def list_artifacts( + self, task_id: str, page: int = 1, pageSize: int = 10 + ) -> TaskArtifactsListResponse: + """ + List the artifacts that the task has created. + """ + try: + artifacts, pagination = await self.db.list_artifacts( + task_id, page, pageSize + ) + return TaskArtifactsListResponse(artifacts=artifacts, pagination=pagination) + + except Exception as e: + raise + + async def create_artifact( + self, task_id: str, file: UploadFile, relative_path: str + ) -> Artifact: + """ + Create an artifact for the task. + """ + data = None + file_name = file.filename or str(uuid4()) + try: + data = b"" + while contents := file.file.read(1024 * 1024): + data += contents + # Check if relative path ends with filename + if relative_path.endswith(file_name): + file_path = relative_path + else: + file_path = os.path.join(relative_path, file_name) + + self.workspace.write(task_id, file_path, data) + + artifact = await self.db.create_artifact( + task_id=task_id, + file_name=file_name, + relative_path=relative_path, + agent_created=False, + ) + except Exception as e: + raise + return artifact + + async def get_artifact(self, task_id: str, artifact_id: str) -> Artifact: + """ + Get an artifact by ID. + """ + try: + artifact = await self.db.get_artifact(artifact_id) + file_path = os.path.join(artifact.relative_path, artifact.file_name) + retrieved_artifact = self.workspace.read(task_id=task_id, path=file_path) + path = artifact.file_name + with open(path, "wb") as f: + f.write(retrieved_artifact) + except NotFoundError as e: + raise + except FileNotFoundError as e: + raise + except Exception as e: + raise + return FileResponse( + # Note: mimetype is guessed in the FileResponse constructor + path=path, + filename=artifact.file_name, + ) diff --git a/autogpts/swifty/forge/sdk/agent_test.py b/autogpts/swifty/forge/sdk/agent_test.py new file mode 100644 index 00000000..85d2d66e --- /dev/null +++ b/autogpts/swifty/forge/sdk/agent_test.py @@ -0,0 +1,107 @@ +import pytest + +from .agent import Agent +from .db import AgentDB +from .schema import StepRequestBody, Task, TaskListResponse, TaskRequestBody +from .workspace import LocalWorkspace + + +@pytest.fixture +def agent(): + db = AgentDB("sqlite:///test.db") + workspace = LocalWorkspace("./test_workspace") + return Agent(db, workspace) + + +@pytest.mark.skip +@pytest.mark.asyncio +async def test_create_task(agent): + task_request = TaskRequestBody( + input="test_input", additional_input={"input": "additional_test_input"} + ) + task: Task = await agent.create_task(task_request) + assert task.input == "test_input" + + +@pytest.mark.skip +@pytest.mark.asyncio +async def test_list_tasks(agent): + task_request = TaskRequestBody( + input="test_input", additional_input={"input": "additional_test_input"} + ) + task = await agent.create_task(task_request) + tasks = await agent.list_tasks() + assert isinstance(tasks, TaskListResponse) + + +@pytest.mark.skip +@pytest.mark.asyncio +async def test_get_task(agent): + task_request = TaskRequestBody( + input="test_input", additional_input={"input": "additional_test_input"} + ) + task = await agent.create_task(task_request) + retrieved_task = await agent.get_task(task.task_id) + assert retrieved_task.task_id == task.task_id + + +@pytest.mark.skip +@pytest.mark.asyncio +async def test_create_and_execute_step(agent): + task_request = TaskRequestBody( + input="test_input", additional_input={"input": "additional_test_input"} + ) + task = await agent.create_task(task_request) + step_request = StepRequestBody( + input="step_input", additional_input={"input": "additional_test_input"} + ) + step = await agent.create_and_execute_step(task.task_id, step_request) + assert step.input == "step_input" + assert step.additional_input == {"input": "additional_test_input"} + + +@pytest.mark.skip +@pytest.mark.asyncio +async def test_get_step(agent): + task_request = TaskRequestBody( + input="test_input", additional_input={"input": "additional_test_input"} + ) + task = await agent.create_task(task_request) + step_request = StepRequestBody( + input="step_input", additional_input={"input": "additional_test_input"} + ) + step = await agent.create_and_execute_step(task.task_id, step_request) + retrieved_step = await agent.get_step(task.task_id, step.step_id) + assert retrieved_step.step_id == step.step_id + + +@pytest.mark.skip +@pytest.mark.asyncio +async def test_list_artifacts(agent): + artifacts = await agent.list_artifacts() + assert isinstance(artifacts, list) + + +@pytest.mark.skip +@pytest.mark.asyncio +async def test_create_artifact(agent): + task_request = TaskRequestBody( + input="test_input", additional_input={"input": "additional_test_input"} + ) + task = await agent.create_task(task_request) + artifact_request = ArtifactRequestBody(file=None, uri="test_uri") + artifact = await agent.create_artifact(task.task_id, artifact_request) + assert artifact.uri == "test_uri" + + +@pytest.mark.skip +@pytest.mark.asyncio +async def test_get_artifact(agent): + task_request = TaskRequestBody( + input="test_input", additional_input={"input": "additional_test_input"} + ) + task = await agent.create_task(task_request) + artifact_request = ArtifactRequestBody(file=None, uri="test_uri") + artifact = await agent.create_artifact(task.task_id, artifact_request) + retrieved_artifact = await agent.get_artifact(task.task_id, artifact.artifact_id) + assert retrieved_artifact.artifact_id == artifact.artifact_id diff --git a/autogpts/swifty/forge/sdk/ai_actions.py b/autogpts/swifty/forge/sdk/ai_actions.py new file mode 100644 index 00000000..e69de29b diff --git a/autogpts/swifty/forge/sdk/ai_memory.py b/autogpts/swifty/forge/sdk/ai_memory.py new file mode 100644 index 00000000..e69de29b diff --git a/autogpts/swifty/forge/sdk/ai_planning.py b/autogpts/swifty/forge/sdk/ai_planning.py new file mode 100644 index 00000000..e69de29b diff --git a/autogpts/swifty/forge/sdk/ai_profile.py b/autogpts/swifty/forge/sdk/ai_profile.py new file mode 100644 index 00000000..7fa4d7d0 --- /dev/null +++ b/autogpts/swifty/forge/sdk/ai_profile.py @@ -0,0 +1,25 @@ +""" +PROFILE CONCEPT: + +The profile generator is used to intiliase and configure an ai agent. +It came from the obsivation that if an llm is provided with a profile such as: +``` +Expert: + +``` +Then it's performance at a task can impove. Here we use the profile to generate +a system prompt for the agent to use. However, it can be used to configure other +aspects of the agent such as memory, planning, and actions available. + +The possibilities are limited just by your imagination. +""" + +from forge.sdk import PromptEngine + + +class ProfileGenerator: + def __init__(self, task: str, PromptEngine: PromptEngine): + """ + Initialize the profile generator with the task to be performed. + """ + self.task = task diff --git a/autogpts/swifty/forge/sdk/db.py b/autogpts/swifty/forge/sdk/db.py new file mode 100644 index 00000000..bf5eeb05 --- /dev/null +++ b/autogpts/swifty/forge/sdk/db.py @@ -0,0 +1,468 @@ +""" +This is an example implementation of the Agent Protocol DB for development Purposes +It uses SQLite as the database and file store backend. +IT IS NOT ADVISED TO USE THIS IN PRODUCTION! +""" + +import datetime +import math +import uuid +from typing import Any, Dict, List, Optional, Tuple + +from sqlalchemy import ( + JSON, + Boolean, + Column, + DateTime, + ForeignKey, + String, + create_engine, +) +from sqlalchemy.exc import SQLAlchemyError +from sqlalchemy.orm import DeclarativeBase, joinedload, relationship, sessionmaker + +from .errors import NotFoundError +from .forge_log import ForgeLogger +from .schema import Artifact, Pagination, Status, Step, StepRequestBody, Task, TaskInput + +LOG = ForgeLogger(__name__) + + +class Base(DeclarativeBase): + pass + + +class TaskModel(Base): + __tablename__ = "tasks" + + task_id = Column(String, primary_key=True, index=True) + input = Column(String) + additional_input = Column(JSON) + created_at = Column(DateTime, default=datetime.datetime.utcnow) + modified_at = Column( + DateTime, default=datetime.datetime.utcnow, onupdate=datetime.datetime.utcnow + ) + + artifacts = relationship("ArtifactModel", back_populates="task") + + +class StepModel(Base): + __tablename__ = "steps" + + step_id = Column(String, primary_key=True, index=True) + task_id = Column(String, ForeignKey("tasks.task_id")) + name = Column(String) + input = Column(String) + status = Column(String) + is_last = Column(Boolean, default=False) + created_at = Column(DateTime, default=datetime.datetime.utcnow) + modified_at = Column( + DateTime, default=datetime.datetime.utcnow, onupdate=datetime.datetime.utcnow + ) + + additional_input = Column(JSON) + artifacts = relationship("ArtifactModel", back_populates="step") + + +class ArtifactModel(Base): + __tablename__ = "artifacts" + + artifact_id = Column(String, primary_key=True, index=True) + task_id = Column(String, ForeignKey("tasks.task_id")) + step_id = Column(String, ForeignKey("steps.step_id")) + agent_created = Column(Boolean, default=False) + file_name = Column(String) + relative_path = Column(String) + created_at = Column(DateTime, default=datetime.datetime.utcnow) + modified_at = Column( + DateTime, default=datetime.datetime.utcnow, onupdate=datetime.datetime.utcnow + ) + + step = relationship("StepModel", back_populates="artifacts") + task = relationship("TaskModel", back_populates="artifacts") + + +def convert_to_task(task_obj: TaskModel, debug_enabled: bool = False) -> Task: + if debug_enabled: + LOG.debug(f"Converting TaskModel to Task for task_id: {task_obj.task_id}") + task_artifacts = [convert_to_artifact(artifact) for artifact in task_obj.artifacts] + return Task( + task_id=task_obj.task_id, + created_at=task_obj.created_at, + modified_at=task_obj.modified_at, + input=task_obj.input, + additional_input=task_obj.additional_input, + artifacts=task_artifacts, + ) + + +def convert_to_step(step_model: StepModel, debug_enabled: bool = False) -> Step: + if debug_enabled: + LOG.debug(f"Converting StepModel to Step for step_id: {step_model.step_id}") + step_artifacts = [ + convert_to_artifact(artifact) for artifact in step_model.artifacts + ] + status = Status.completed if step_model.status == "completed" else Status.created + return Step( + task_id=step_model.task_id, + step_id=step_model.step_id, + created_at=step_model.created_at, + modified_at=step_model.modified_at, + name=step_model.name, + input=step_model.input, + status=status, + artifacts=step_artifacts, + is_last=step_model.is_last == 1, + additional_input=step_model.additional_input, + ) + + +def convert_to_artifact(artifact_model: ArtifactModel) -> Artifact: + return Artifact( + artifact_id=artifact_model.artifact_id, + created_at=artifact_model.created_at, + modified_at=artifact_model.modified_at, + agent_created=artifact_model.agent_created, + relative_path=artifact_model.relative_path, + file_name=artifact_model.file_name, + ) + + +# sqlite:///{database_name} +class AgentDB: + def __init__(self, database_string, debug_enabled: bool = False) -> None: + super().__init__() + self.debug_enabled = debug_enabled + if self.debug_enabled: + LOG.debug(f"Initializing AgentDB with database_string: {database_string}") + self.engine = create_engine(database_string) + Base.metadata.create_all(self.engine) + self.Session = sessionmaker(bind=self.engine) + + async def create_task( + self, input: Optional[str], additional_input: Optional[TaskInput] = {} + ) -> Task: + if self.debug_enabled: + LOG.debug("Creating new task") + + try: + with self.Session() as session: + new_task = TaskModel( + task_id=str(uuid.uuid4()), + input=input, + additional_input=additional_input.json() + if additional_input + else {}, + ) + session.add(new_task) + session.commit() + session.refresh(new_task) + if self.debug_enabled: + LOG.debug(f"Created new task with task_id: {new_task.task_id}") + return convert_to_task(new_task, self.debug_enabled) + except SQLAlchemyError as e: + LOG.error(f"SQLAlchemy error while creating task: {e}") + raise + except NotFoundError as e: + raise + except Exception as e: + LOG.error(f"Unexpected error while creating task: {e}") + raise + + async def create_step( + self, + task_id: str, + input: StepRequestBody, + is_last: bool = False, + additional_input: Optional[Dict[str, Any]] = {}, + ) -> Step: + if self.debug_enabled: + LOG.debug(f"Creating new step for task_id: {task_id}") + try: + with self.Session() as session: + new_step = StepModel( + task_id=task_id, + step_id=str(uuid.uuid4()), + name=input.input, + input=input.input, + status="created", + is_last=is_last, + additional_input=additional_input, + ) + session.add(new_step) + session.commit() + session.refresh(new_step) + if self.debug_enabled: + LOG.debug(f"Created new step with step_id: {new_step.step_id}") + return convert_to_step(new_step, self.debug_enabled) + except SQLAlchemyError as e: + LOG.error(f"SQLAlchemy error while creating step: {e}") + raise + except NotFoundError as e: + raise + except Exception as e: + LOG.error(f"Unexpected error while creating step: {e}") + raise + + async def create_artifact( + self, + task_id: str, + file_name: str, + relative_path: str, + agent_created: bool = False, + step_id: str | None = None, + ) -> Artifact: + if self.debug_enabled: + LOG.debug(f"Creating new artifact for task_id: {task_id}") + try: + with self.Session() as session: + if ( + existing_artifact := session.query(ArtifactModel) + .filter_by( + task_id=task_id, + file_name=file_name, + relative_path=relative_path, + ) + .first() + ): + session.close() + if self.debug_enabled: + LOG.debug( + f"Artifact already exists with relative_path: {relative_path}" + ) + return convert_to_artifact(existing_artifact) + + new_artifact = ArtifactModel( + artifact_id=str(uuid.uuid4()), + task_id=task_id, + step_id=step_id, + agent_created=agent_created, + file_name=file_name, + relative_path=relative_path, + ) + session.add(new_artifact) + session.commit() + session.refresh(new_artifact) + if self.debug_enabled: + LOG.debug( + f"Created new artifact with artifact_id: {new_artifact.artifact_id}" + ) + return convert_to_artifact(new_artifact) + except SQLAlchemyError as e: + LOG.error(f"SQLAlchemy error while creating step: {e}") + raise + except NotFoundError as e: + raise + except Exception as e: + LOG.error(f"Unexpected error while creating step: {e}") + raise + + async def get_task(self, task_id: int) -> Task: + """Get a task by its id""" + if self.debug_enabled: + LOG.debug(f"Getting task with task_id: {task_id}") + try: + with self.Session() as session: + if task_obj := ( + session.query(TaskModel) + .options(joinedload(TaskModel.artifacts)) + .filter_by(task_id=task_id) + .first() + ): + return convert_to_task(task_obj, self.debug_enabled) + else: + LOG.error(f"Task not found with task_id: {task_id}") + raise NotFoundError("Task not found") + except SQLAlchemyError as e: + LOG.error(f"SQLAlchemy error while getting task: {e}") + raise + except NotFoundError as e: + raise + except Exception as e: + LOG.error(f"Unexpected error while getting task: {e}") + raise + + async def get_step(self, task_id: int, step_id: int) -> Step: + if self.debug_enabled: + LOG.debug(f"Getting step with task_id: {task_id} and step_id: {step_id}") + try: + with self.Session() as session: + if step := ( + session.query(StepModel) + .options(joinedload(StepModel.artifacts)) + .filter(StepModel.step_id == step_id) + .first() + ): + return convert_to_step(step, self.debug_enabled) + + else: + LOG.error( + f"Step not found with task_id: {task_id} and step_id: {step_id}" + ) + raise NotFoundError("Step not found") + except SQLAlchemyError as e: + LOG.error(f"SQLAlchemy error while getting step: {e}") + raise + except NotFoundError as e: + raise + except Exception as e: + LOG.error(f"Unexpected error while getting step: {e}") + raise + + async def update_step( + self, + task_id: str, + step_id: str, + status: str, + additional_input: Optional[Dict[str, Any]] = {}, + ) -> Step: + if self.debug_enabled: + LOG.debug(f"Updating step with task_id: {task_id} and step_id: {step_id}") + try: + with self.Session() as session: + if ( + step := session.query(StepModel) + .filter_by(task_id=task_id, step_id=step_id) + .first() + ): + step.status = status + step.additional_input = additional_input + session.commit() + return await self.get_step(task_id, step_id) + else: + LOG.error( + f"Step not found for update with task_id: {task_id} and step_id: {step_id}" + ) + raise NotFoundError("Step not found") + except SQLAlchemyError as e: + LOG.error(f"SQLAlchemy error while getting step: {e}") + raise + except NotFoundError as e: + raise + except Exception as e: + LOG.error(f"Unexpected error while getting step: {e}") + raise + + async def get_artifact(self, artifact_id: str) -> Artifact: + if self.debug_enabled: + LOG.debug(f"Getting artifact with and artifact_id: {artifact_id}") + try: + with self.Session() as session: + if ( + artifact_model := session.query(ArtifactModel) + .filter_by(artifact_id=artifact_id) + .first() + ): + return convert_to_artifact(artifact_model) + else: + LOG.error(f"Artifact not found with and artifact_id: {artifact_id}") + raise NotFoundError("Artifact not found") + except SQLAlchemyError as e: + LOG.error(f"SQLAlchemy error while getting artifact: {e}") + raise + except NotFoundError as e: + raise + except Exception as e: + LOG.error(f"Unexpected error while getting artifact: {e}") + raise + + async def list_tasks( + self, page: int = 1, per_page: int = 10 + ) -> Tuple[List[Task], Pagination]: + if self.debug_enabled: + LOG.debug("Listing tasks") + try: + with self.Session() as session: + tasks = ( + session.query(TaskModel) + .offset((page - 1) * per_page) + .limit(per_page) + .all() + ) + total = session.query(TaskModel).count() + pages = math.ceil(total / per_page) + pagination = Pagination( + total_items=total, + total_pages=pages, + current_page=page, + page_size=per_page, + ) + return [ + convert_to_task(task, self.debug_enabled) for task in tasks + ], pagination + except SQLAlchemyError as e: + LOG.error(f"SQLAlchemy error while listing tasks: {e}") + raise + except NotFoundError as e: + raise + except Exception as e: + LOG.error(f"Unexpected error while listing tasks: {e}") + raise + + async def list_steps( + self, task_id: str, page: int = 1, per_page: int = 10 + ) -> Tuple[List[Step], Pagination]: + if self.debug_enabled: + LOG.debug(f"Listing steps for task_id: {task_id}") + try: + with self.Session() as session: + steps = ( + session.query(StepModel) + .filter_by(task_id=task_id) + .offset((page - 1) * per_page) + .limit(per_page) + .all() + ) + total = session.query(StepModel).filter_by(task_id=task_id).count() + pages = math.ceil(total / per_page) + pagination = Pagination( + total_items=total, + total_pages=pages, + current_page=page, + page_size=per_page, + ) + return [ + convert_to_step(step, self.debug_enabled) for step in steps + ], pagination + except SQLAlchemyError as e: + LOG.error(f"SQLAlchemy error while listing steps: {e}") + raise + except NotFoundError as e: + raise + except Exception as e: + LOG.error(f"Unexpected error while listing steps: {e}") + raise + + async def list_artifacts( + self, task_id: str, page: int = 1, per_page: int = 10 + ) -> Tuple[List[Artifact], Pagination]: + if self.debug_enabled: + LOG.debug(f"Listing artifacts for task_id: {task_id}") + try: + with self.Session() as session: + artifacts = ( + session.query(ArtifactModel) + .filter_by(task_id=task_id) + .offset((page - 1) * per_page) + .limit(per_page) + .all() + ) + total = session.query(ArtifactModel).filter_by(task_id=task_id).count() + pages = math.ceil(total / per_page) + pagination = Pagination( + total_items=total, + total_pages=pages, + current_page=page, + page_size=per_page, + ) + return [ + convert_to_artifact(artifact) for artifact in artifacts + ], pagination + except SQLAlchemyError as e: + LOG.error(f"SQLAlchemy error while listing artifacts: {e}") + raise + except NotFoundError as e: + raise + except Exception as e: + LOG.error(f"Unexpected error while listing artifacts: {e}") + raise diff --git a/autogpts/swifty/forge/sdk/db_test.py b/autogpts/swifty/forge/sdk/db_test.py new file mode 100644 index 00000000..5346eb3b --- /dev/null +++ b/autogpts/swifty/forge/sdk/db_test.py @@ -0,0 +1,325 @@ +import os +import sqlite3 +from datetime import datetime + +import pytest + +from forge.sdk.db import ( + AgentDB, + ArtifactModel, + StepModel, + TaskModel, + convert_to_artifact, + convert_to_step, + convert_to_task, +) +from forge.sdk.errors import NotFoundError as DataNotFoundError +from forge.sdk.schema import * + + +@pytest.mark.asyncio +def test_table_creation(): + db_name = "sqlite:///test_db.sqlite3" + agent_db = AgentDB(db_name) + + conn = sqlite3.connect("test_db.sqlite3") + cursor = conn.cursor() + + # Test for tasks table existence + cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='tasks'") + assert cursor.fetchone() is not None + + # Test for steps table existence + cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='steps'") + assert cursor.fetchone() is not None + + # Test for artifacts table existence + cursor.execute( + "SELECT name FROM sqlite_master WHERE type='table' AND name='artifacts'" + ) + assert cursor.fetchone() is not None + + os.remove(db_name.split("///")[1]) + + +@pytest.mark.asyncio +async def test_task_schema(): + now = datetime.now() + task = Task( + task_id="50da533e-3904-4401-8a07-c49adf88b5eb", + input="Write the words you receive to the file 'output.txt'.", + created_at=now, + modified_at=now, + artifacts=[ + Artifact( + artifact_id="b225e278-8b4c-4f99-a696-8facf19f0e56", + agent_created=True, + file_name="main.py", + relative_path="python/code/", + created_at=now, + modified_at=now, + ) + ], + ) + assert task.task_id == "50da533e-3904-4401-8a07-c49adf88b5eb" + assert task.input == "Write the words you receive to the file 'output.txt'." + assert len(task.artifacts) == 1 + assert task.artifacts[0].artifact_id == "b225e278-8b4c-4f99-a696-8facf19f0e56" + + +@pytest.mark.asyncio +async def test_step_schema(): + now = datetime.now() + step = Step( + task_id="50da533e-3904-4401-8a07-c49adf88b5eb", + step_id="6bb1801a-fd80-45e8-899a-4dd723cc602e", + created_at=now, + modified_at=now, + name="Write to file", + input="Write the words you receive to the file 'output.txt'.", + status=Status.created, + output="I am going to use the write_to_file command and write Washington to a file called output.txt ", + artifacts=[ + Artifact( + artifact_id="b225e278-8b4c-4f99-a696-8facf19f0e56", + file_name="main.py", + relative_path="python/code/", + created_at=now, + modified_at=now, + agent_created=True, + ) + ], + is_last=False, + ) + assert step.task_id == "50da533e-3904-4401-8a07-c49adf88b5eb" + assert step.step_id == "6bb1801a-fd80-45e8-899a-4dd723cc602e" + assert step.name == "Write to file" + assert step.status == Status.created + assert ( + step.output + == "I am going to use the write_to_file command and write Washington to a file called output.txt " + ) + assert len(step.artifacts) == 1 + assert step.artifacts[0].artifact_id == "b225e278-8b4c-4f99-a696-8facf19f0e56" + assert step.is_last == False + + +@pytest.mark.asyncio +async def test_convert_to_task(): + now = datetime.now() + task_model = TaskModel( + task_id="50da533e-3904-4401-8a07-c49adf88b5eb", + created_at=now, + modified_at=now, + input="Write the words you receive to the file 'output.txt'.", + artifacts=[ + ArtifactModel( + artifact_id="b225e278-8b4c-4f99-a696-8facf19f0e56", + created_at=now, + modified_at=now, + relative_path="file:///path/to/main.py", + agent_created=True, + file_name="main.py", + ) + ], + ) + task = convert_to_task(task_model) + assert task.task_id == "50da533e-3904-4401-8a07-c49adf88b5eb" + assert task.input == "Write the words you receive to the file 'output.txt'." + assert len(task.artifacts) == 1 + assert task.artifacts[0].artifact_id == "b225e278-8b4c-4f99-a696-8facf19f0e56" + + +@pytest.mark.asyncio +async def test_convert_to_step(): + now = datetime.now() + step_model = StepModel( + task_id="50da533e-3904-4401-8a07-c49adf88b5eb", + step_id="6bb1801a-fd80-45e8-899a-4dd723cc602e", + created_at=now, + modified_at=now, + name="Write to file", + status="created", + input="Write the words you receive to the file 'output.txt'.", + artifacts=[ + ArtifactModel( + artifact_id="b225e278-8b4c-4f99-a696-8facf19f0e56", + created_at=now, + modified_at=now, + relative_path="file:///path/to/main.py", + agent_created=True, + file_name="main.py", + ) + ], + is_last=False, + ) + step = convert_to_step(step_model) + assert step.task_id == "50da533e-3904-4401-8a07-c49adf88b5eb" + assert step.step_id == "6bb1801a-fd80-45e8-899a-4dd723cc602e" + assert step.name == "Write to file" + assert step.status == Status.created + assert len(step.artifacts) == 1 + assert step.artifacts[0].artifact_id == "b225e278-8b4c-4f99-a696-8facf19f0e56" + assert step.is_last == False + + +@pytest.mark.asyncio +async def test_convert_to_artifact(): + now = datetime.now() + artifact_model = ArtifactModel( + artifact_id="b225e278-8b4c-4f99-a696-8facf19f0e56", + created_at=now, + modified_at=now, + relative_path="file:///path/to/main.py", + agent_created=True, + file_name="main.py", + ) + artifact = convert_to_artifact(artifact_model) + assert artifact.artifact_id == "b225e278-8b4c-4f99-a696-8facf19f0e56" + assert artifact.relative_path == "file:///path/to/main.py" + assert artifact.agent_created == True + + +@pytest.mark.asyncio +async def test_create_task(): + # Having issues with pytest fixture so added setup and teardown in each test as a rapid workaround + # TODO: Fix this! + db_name = "sqlite:///test_db.sqlite3" + agent_db = AgentDB(db_name) + + task = await agent_db.create_task("task_input") + assert task.input == "task_input" + os.remove(db_name.split("///")[1]) + + +@pytest.mark.asyncio +async def test_create_and_get_task(): + db_name = "sqlite:///test_db.sqlite3" + agent_db = AgentDB(db_name) + task = await agent_db.create_task("test_input") + fetched_task = await agent_db.get_task(task.task_id) + assert fetched_task.input == "test_input" + os.remove(db_name.split("///")[1]) + + +@pytest.mark.asyncio +async def test_get_task_not_found(): + db_name = "sqlite:///test_db.sqlite3" + agent_db = AgentDB(db_name) + with pytest.raises(DataNotFoundError): + await agent_db.get_task(9999) + os.remove(db_name.split("///")[1]) + + +@pytest.mark.asyncio +async def test_create_and_get_step(): + db_name = "sqlite:///test_db.sqlite3" + agent_db = AgentDB(db_name) + task = await agent_db.create_task("task_input") + step_input = StepInput(type="python/code") + request = StepRequestBody(input="test_input debug", additional_input=step_input) + step = await agent_db.create_step(task.task_id, request) + step = await agent_db.get_step(task.task_id, step.step_id) + assert step.input == "test_input debug" + os.remove(db_name.split("///")[1]) + + +@pytest.mark.asyncio +async def test_updating_step(): + db_name = "sqlite:///test_db.sqlite3" + agent_db = AgentDB(db_name) + created_task = await agent_db.create_task("task_input") + step_input = StepInput(type="python/code") + request = StepRequestBody(input="test_input debug", additional_input=step_input) + created_step = await agent_db.create_step(created_task.task_id, request) + await agent_db.update_step(created_task.task_id, created_step.step_id, "completed") + + step = await agent_db.get_step(created_task.task_id, created_step.step_id) + assert step.status.value == "completed" + os.remove(db_name.split("///")[1]) + + +@pytest.mark.asyncio +async def test_get_step_not_found(): + db_name = "sqlite:///test_db.sqlite3" + agent_db = AgentDB(db_name) + with pytest.raises(DataNotFoundError): + await agent_db.get_step(9999, 9999) + os.remove(db_name.split("///")[1]) + + +@pytest.mark.asyncio +async def test_get_artifact(): + db_name = "sqlite:///test_db.sqlite3" + db = AgentDB(db_name) + + # Given: A task and its corresponding artifact + task = await db.create_task("test_input debug") + step_input = StepInput(type="python/code") + requst = StepRequestBody(input="test_input debug", additional_input=step_input) + + step = await db.create_step(task.task_id, requst) + + # Create an artifact + artifact = await db.create_artifact( + task_id=task.task_id, + file_name="test_get_artifact_sample_file.txt", + relative_path="file:///path/to/test_get_artifact_sample_file.txt", + agent_created=True, + step_id=step.step_id, + ) + + # When: The artifact is fetched by its ID + fetched_artifact = await db.get_artifact(artifact.artifact_id) + + # Then: The fetched artifact matches the original + assert fetched_artifact.artifact_id == artifact.artifact_id + assert ( + fetched_artifact.relative_path + == "file:///path/to/test_get_artifact_sample_file.txt" + ) + + os.remove(db_name.split("///")[1]) + + +@pytest.mark.asyncio +async def test_list_tasks(): + db_name = "sqlite:///test_db.sqlite3" + db = AgentDB(db_name) + + # Given: Multiple tasks in the database + task1 = await db.create_task("test_input_1") + task2 = await db.create_task("test_input_2") + + # When: All tasks are fetched + fetched_tasks, pagination = await db.list_tasks() + + # Then: The fetched tasks list includes the created tasks + task_ids = [task.task_id for task in fetched_tasks] + assert task1.task_id in task_ids + assert task2.task_id in task_ids + os.remove(db_name.split("///")[1]) + + +@pytest.mark.asyncio +async def test_list_steps(): + db_name = "sqlite:///test_db.sqlite3" + db = AgentDB(db_name) + + step_input = StepInput(type="python/code") + requst = StepRequestBody(input="test_input debug", additional_input=step_input) + + # Given: A task and multiple steps for that task + task = await db.create_task("test_input") + step1 = await db.create_step(task.task_id, requst) + requst = StepRequestBody(input="step two", additional_input=step_input) + step2 = await db.create_step(task.task_id, requst) + + # When: All steps for the task are fetched + fetched_steps, pagination = await db.list_steps(task.task_id) + + # Then: The fetched steps list includes the created steps + step_ids = [step.step_id for step in fetched_steps] + assert step1.step_id in step_ids + assert step2.step_id in step_ids + os.remove(db_name.split("///")[1]) diff --git a/autogpts/swifty/forge/sdk/errors.py b/autogpts/swifty/forge/sdk/errors.py new file mode 100644 index 00000000..c901a5c9 --- /dev/null +++ b/autogpts/swifty/forge/sdk/errors.py @@ -0,0 +1,2 @@ +class NotFoundError(Exception): + pass diff --git a/autogpts/swifty/forge/sdk/forge_log.py b/autogpts/swifty/forge/sdk/forge_log.py new file mode 100644 index 00000000..f27f9df2 --- /dev/null +++ b/autogpts/swifty/forge/sdk/forge_log.py @@ -0,0 +1,203 @@ +import json +import logging +import logging.config +import logging.handlers +import os +import queue + +JSON_LOGGING = os.environ.get("JSON_LOGGING", "false").lower() == "true" + +CHAT = 29 +logging.addLevelName(CHAT, "CHAT") + +RESET_SEQ: str = "\033[0m" +COLOR_SEQ: str = "\033[1;%dm" +BOLD_SEQ: str = "\033[1m" +UNDERLINE_SEQ: str = "\033[04m" + +ORANGE: str = "\033[33m" +YELLOW: str = "\033[93m" +WHITE: str = "\33[37m" +BLUE: str = "\033[34m" +LIGHT_BLUE: str = "\033[94m" +RED: str = "\033[91m" +GREY: str = "\33[90m" +GREEN: str = "\033[92m" + +EMOJIS: dict[str, str] = { + "DEBUG": "🐛", + "INFO": "📝", + "CHAT": "💬", + "WARNING": "⚠️", + "ERROR": "❌", + "CRITICAL": "💥", +} + +KEYWORD_COLORS: dict[str, str] = { + "DEBUG": WHITE, + "INFO": LIGHT_BLUE, + "CHAT": GREEN, + "WARNING": YELLOW, + "ERROR": ORANGE, + "CRITICAL": RED, +} + + +class JsonFormatter(logging.Formatter): + def format(self, record): + return json.dumps(record.__dict__) + + +def formatter_message(message: str, use_color: bool = True) -> str: + """ + Syntax highlight certain keywords + """ + if use_color: + message = message.replace("$RESET", RESET_SEQ).replace("$BOLD", BOLD_SEQ) + else: + message = message.replace("$RESET", "").replace("$BOLD", "") + return message + + +def format_word( + message: str, word: str, color_seq: str, bold: bool = False, underline: bool = False +) -> str: + """ + Surround the fiven word with a sequence + """ + replacer = color_seq + word + RESET_SEQ + if underline: + replacer = UNDERLINE_SEQ + replacer + if bold: + replacer = BOLD_SEQ + replacer + return message.replace(word, replacer) + + +class ConsoleFormatter(logging.Formatter): + """ + This Formatted simply colors in the levelname i.e 'INFO', 'DEBUG' + """ + + def __init__( + self, fmt: str, datefmt: str = None, style: str = "%", use_color: bool = True + ): + super().__init__(fmt, datefmt, style) + self.use_color = use_color + + def format(self, record: logging.LogRecord) -> str: + """ + Format and highlight certain keywords + """ + rec = record + levelname = rec.levelname + if self.use_color and levelname in KEYWORD_COLORS: + levelname_color = KEYWORD_COLORS[levelname] + levelname + RESET_SEQ + rec.levelname = levelname_color + rec.name = f"{GREY}{rec.name:<15}{RESET_SEQ}" + rec.msg = ( + KEYWORD_COLORS[levelname] + EMOJIS[levelname] + " " + rec.msg + RESET_SEQ + ) + return logging.Formatter.format(self, rec) + + +class ForgeLogger(logging.Logger): + """ + This adds extra logging functions such as logger.trade and also + sets the logger to use the custom formatter + """ + + CONSOLE_FORMAT: str = ( + "[%(asctime)s] [$BOLD%(name)-15s$RESET] [%(levelname)-8s]\t%(message)s" + ) + FORMAT: str = "%(asctime)s %(name)-15s %(levelname)-8s %(message)s" + COLOR_FORMAT: str = formatter_message(CONSOLE_FORMAT, True) + JSON_FORMAT: str = '{"time": "%(asctime)s", "name": "%(name)s", "level": "%(levelname)s", "message": "%(message)s"}' + + def __init__(self, name: str, logLevel: str = "DEBUG"): + logging.Logger.__init__(self, name, logLevel) + + # Queue Handler + queue_handler = logging.handlers.QueueHandler(queue.Queue(-1)) + json_formatter = logging.Formatter(self.JSON_FORMAT) + queue_handler.setFormatter(json_formatter) + self.addHandler(queue_handler) + + if JSON_LOGGING: + console_formatter = JsonFormatter() + else: + console_formatter = ConsoleFormatter(self.COLOR_FORMAT) + console = logging.StreamHandler() + console.setFormatter(console_formatter) + self.addHandler(console) + + def chat(self, role: str, openai_repsonse: dict, messages=None, *args, **kws): + """ + Parse the content, log the message and extract the usage into prometheus metrics + """ + role_emojis = { + "system": "🖥️", + "user": "👤", + "assistant": "🤖", + "function": "⚙️", + } + if self.isEnabledFor(CHAT): + if messages: + for message in messages: + self._log( + CHAT, + f"{role_emojis.get(message['role'], '🔵')}: {message['content']}", + ) + else: + response = json.loads(openai_repsonse) + + self._log( + CHAT, + f"{role_emojis.get(role, '🔵')}: {response['choices'][0]['message']['content']}", + ) + + +class QueueLogger(logging.Logger): + """ + Custom logger class with queue + """ + + def __init__(self, name: str, level: int = logging.NOTSET): + super().__init__(name, level) + queue_handler = logging.handlers.QueueHandler(queue.Queue(-1)) + self.addHandler(queue_handler) + + +logging_config: dict = dict( + version=1, + formatters={ + "console": { + "()": ConsoleFormatter, + "format": ForgeLogger.COLOR_FORMAT, + }, + }, + handlers={ + "h": { + "class": "logging.StreamHandler", + "formatter": "console", + "level": logging.DEBUG, + }, + }, + root={ + "handlers": ["h"], + "level": logging.DEBUG, + }, + loggers={ + "autogpt": { + "handlers": ["h"], + "level": logging.DEBUG, + "propagate": False, + }, + }, +) + + +def setup_logger(): + """ + Setup the logger with the specified format + """ + logging.config.dictConfig(logging_config) diff --git a/autogpts/swifty/forge/sdk/llm.py b/autogpts/swifty/forge/sdk/llm.py new file mode 100644 index 00000000..e69de29b diff --git a/autogpts/swifty/forge/sdk/memory/__init__.py b/autogpts/swifty/forge/sdk/memory/__init__.py new file mode 100644 index 00000000..8b137891 --- /dev/null +++ b/autogpts/swifty/forge/sdk/memory/__init__.py @@ -0,0 +1 @@ + diff --git a/autogpts/swifty/forge/sdk/memory/memstore.py b/autogpts/swifty/forge/sdk/memory/memstore.py new file mode 100644 index 00000000..2d7a255c --- /dev/null +++ b/autogpts/swifty/forge/sdk/memory/memstore.py @@ -0,0 +1,306 @@ +import abc +import hashlib + +import chromadb +from chromadb.config import Settings + + +class MemStore(abc.ABC): + """ + An abstract class that represents a Memory Store + """ + + @abc.abstractmethod + def __init__(self, store_path: str): + """ + Initialize the MemStore with a given store path. + + Args: + store_path (str): The path to the store. + """ + pass + + @abc.abstractmethod + def add_task_memory(self, task_id: str, document: str, metadatas: dict) -> None: + """ + Add a document to the current tasks MemStore. + This function calls the base version with the task_id as the collection_name. + + Args: + task_id (str): The ID of the task. + document (str): The document to be added. + metadatas (dict): The metadata of the document. + """ + self.add(collection_name=task_id, document=document, metadatas=metadatas) + + @abc.abstractmethod + def query_task_memory( + self, + task_id: str, + query: str, + filters: dict = None, + document_search: dict = None, + ) -> dict: + """ + Query the current tasks MemStore. + This function calls the base version with the task_id as the collection_name. + + Args: + task_id (str): The ID of the task. + query (str): The query string. + filters (dict, optional): The filters to be applied. Defaults to None. + document_search (dict, optional): The search string. Defaults to None. + + Returns: + dict: The query results. + """ + return self.query( + collection_name=task_id, + query=query, + filters=filters, + document_search=document_search, + ) + + @abc.abstractmethod + def get_task_memory( + self, task_id: str, doc_ids: list = None, filters: dict = None + ) -> dict: + """ + Get documents from the current tasks MemStore. + This function calls the base version with the task_id as the collection_name. + + Args: + task_id (str): The ID of the task. + doc_ids (list, optional): The IDs of the documents to be retrieved. Defaults to None. + filters (dict, optional): The filters to be applied. Defaults to None. + + Returns: + dict: The retrieved documents. + """ + return self.get(collection_name=task_id, doc_ids=doc_ids, filters=filters) + + @abc.abstractmethod + def update_task_memory( + self, task_id: str, doc_ids: list, documents: list, metadatas: list + ): + """ + Update documents in the current tasks MemStore. + This function calls the base version with the task_id as the collection_name. + + Args: + task_id (str): The ID of the task. + doc_ids (list): The IDs of the documents to be updated. + documents (list): The updated documents. + metadatas (list): The updated metadata. + """ + self.update( + collection_name=task_id, + doc_ids=doc_ids, + documents=documents, + metadatas=metadatas, + ) + + @abc.abstractmethod + def delete_task_memory(self, task_id: str, doc_id: str): + """ + Delete a document from the current tasks MemStore. + This function calls the base version with the task_id as the collection_name. + + Args: + task_id (str): The ID of the task. + doc_id (str): The ID of the document to be deleted. + """ + self.delete(collection_name=task_id, doc_id=doc_id) + + @abc.abstractmethod + def add(self, collection_name: str, document: str, metadatas: dict) -> None: + """ + Add a document to the current collection's MemStore. + + Args: + collection_name (str): The name of the collection. + document (str): The document to be added. + metadatas (dict): The metadata of the document. + """ + pass + + @abc.abstractmethod + def query( + self, + collection_name: str, + query: str, + filters: dict = None, + document_search: dict = None, + ) -> dict: + pass + + @abc.abstractmethod + def get( + self, collection_name: str, doc_ids: list = None, filters: dict = None + ) -> dict: + pass + + @abc.abstractmethod + def update( + self, collection_name: str, doc_ids: list, documents: list, metadatas: list + ): + pass + + @abc.abstractmethod + def delete(self, collection_name: str, doc_id: str): + pass + + +class ChromaMemStore(MemStore): + """ + A class used to represent a Memory Store + """ + + def __init__(self, store_path: str): + """ + Initialize the MemStore with a given store path. + + Args: + store_path (str): The path to the store. + """ + self.client = chromadb.PersistentClient( + path=store_path, settings=Settings(anonymized_telemetry=False) + ) + + def add(self, task_id: str, document: str, metadatas: dict) -> None: + """ + Add a document to the MemStore. + + Args: + task_id (str): The ID of the task. + document (str): The document to be added. + metadatas (dict): The metadata of the document. + """ + doc_id = hashlib.sha256(document.encode()).hexdigest()[:20] + collection = self.client.get_or_create_collection(task_id) + collection.add(documents=[document], metadatas=[metadatas], ids=[doc_id]) + + def query( + self, + task_id: str, + query: str, + filters: dict = None, + document_search: dict = None, + ) -> dict: + """ + Query the MemStore. + + Args: + task_id (str): The ID of the task. + query (str): The query string. + filters (dict, optional): The filters to be applied. Defaults to None. + search_string (str, optional): The search string. Defaults to None. + + Returns: + dict: The query results. + """ + collection = self.client.get_or_create_collection(task_id) + + kwargs = { + "query_texts": [query], + "n_results": 10, + } + + if filters: + kwargs["where"] = filters + + if document_search: + kwargs["where_document"] = document_search + + return collection.query(**kwargs) + + def get(self, task_id: str, doc_ids: list = None, filters: dict = None) -> dict: + """ + Get documents from the MemStore. + + Args: + task_id (str): The ID of the task. + doc_ids (list, optional): The IDs of the documents to be retrieved. Defaults to None. + filters (dict, optional): The filters to be applied. Defaults to None. + + Returns: + dict: The retrieved documents. + """ + collection = self.client.get_or_create_collection(task_id) + kwargs = {} + if doc_ids: + kwargs["ids"] = doc_ids + if filters: + kwargs["where"] = filters + return collection.get(**kwargs) + + def update(self, task_id: str, doc_ids: list, documents: list, metadatas: list): + """ + Update documents in the MemStore. + + Args: + task_id (str): The ID of the task. + doc_ids (list): The IDs of the documents to be updated. + documents (list): The updated documents. + metadatas (list): The updated metadata. + """ + collection = self.client.get_or_create_collection(task_id) + collection.update(ids=doc_ids, documents=documents, metadatas=metadatas) + + def delete(self, task_id: str, doc_id: str): + """ + Delete a document from the MemStore. + + Args: + task_id (str): The ID of the task. + doc_id (str): The ID of the document to be deleted. + """ + collection = self.client.get_or_create_collection(task_id) + collection.delete(ids=[doc_id]) + + +if __name__ == "__main__": + print("#############################################") + # Initialize MemStore + mem = MemStore(".agent_mem_store") + + # Test add function + task_id = "test_task" + document = "This is a another new test document." + metadatas = {"metadata": "test_metadata"} + mem.add(task_id, document, metadatas) + + task_id = "test_task" + document = "The quick brown fox jumps over the lazy dog." + metadatas = {"metadata": "test_metadata"} + mem.add(task_id, document, metadatas) + + task_id = "test_task" + document = "AI is a new technology that will change the world." + metadatas = {"timestamp": 1623936000} + mem.add(task_id, document, metadatas) + + doc_id = hashlib.sha256(document.encode()).hexdigest()[:20] + # Test query function + query = "test" + filters = {"metadata": {"$eq": "test"}} + search_string = {"$contains": "test"} + doc_ids = [doc_id] + documents = ["This is an updated test document."] + updated_metadatas = {"metadata": "updated_test_metadata"} + + print("Query:") + print(mem.query(task_id, query)) + + # Test get function + print("Get:") + + print(mem.get(task_id)) + + # Test update function + print("Update:") + print(mem.update(task_id, doc_ids, documents, updated_metadatas)) + + print("Delete:") + # Test delete function + print(mem.delete(task_id, doc_ids[0])) diff --git a/autogpts/swifty/forge/sdk/memory/memstore_test.py b/autogpts/swifty/forge/sdk/memory/memstore_test.py new file mode 100644 index 00000000..3eb24309 --- /dev/null +++ b/autogpts/swifty/forge/sdk/memory/memstore_test.py @@ -0,0 +1,58 @@ +import hashlib +import shutil + +import pytest + +from forge.sdk.memory.memstore import ChromaMemStore + + +@pytest.fixture +def memstore(): + mem = ChromaMemStore(".test_mem_store") + yield mem + shutil.rmtree(".test_mem_store") + + +def test_add(memstore): + task_id = "test_task" + document = "This is a test document." + metadatas = {"metadata": "test_metadata"} + memstore.add(task_id, document, metadatas) + doc_id = hashlib.sha256(document.encode()).hexdigest()[:20] + assert memstore.client.get_or_create_collection(task_id).count() == 1 + + +def test_query(memstore): + task_id = "test_task" + document = "This is a test document." + metadatas = {"metadata": "test_metadata"} + memstore.add(task_id, document, metadatas) + query = "test" + assert len(memstore.query(task_id, query)["documents"]) == 1 + + +def test_update(memstore): + task_id = "test_task" + document = "This is a test document." + metadatas = {"metadata": "test_metadata"} + memstore.add(task_id, document, metadatas) + doc_id = hashlib.sha256(document.encode()).hexdigest()[:20] + updated_document = "This is an updated test document." + updated_metadatas = {"metadata": "updated_test_metadata"} + memstore.update(task_id, [doc_id], [updated_document], [updated_metadatas]) + assert memstore.get(task_id, [doc_id]) == { + "documents": [updated_document], + "metadatas": [updated_metadatas], + "embeddings": None, + "ids": [doc_id], + } + + +def test_delete(memstore): + task_id = "test_task" + document = "This is a test document." + metadatas = {"metadata": "test_metadata"} + memstore.add(task_id, document, metadatas) + doc_id = hashlib.sha256(document.encode()).hexdigest()[:20] + memstore.delete(task_id, doc_id) + assert memstore.client.get_or_create_collection(task_id).count() == 0 diff --git a/autogpts/swifty/forge/sdk/middlewares.py b/autogpts/swifty/forge/sdk/middlewares.py new file mode 100644 index 00000000..92945a95 --- /dev/null +++ b/autogpts/swifty/forge/sdk/middlewares.py @@ -0,0 +1,34 @@ +from fastapi import FastAPI + + +class AgentMiddleware: + """ + Middleware that injects the agent instance into the request scope. + """ + + def __init__(self, app: FastAPI, agent: "Agent"): + """ + + Args: + app: The FastAPI app - automatically injected by FastAPI. + agent: The agent instance to inject into the request scope. + + Examples: + >>> from fastapi import FastAPI, Request + >>> from agent_protocol.agent import Agent + >>> from agent_protocol.middlewares import AgentMiddleware + >>> app = FastAPI() + >>> @app.get("/") + >>> async def root(request: Request): + >>> agent = request["agent"] + >>> task = agent.db.create_task("Do something.") + >>> return {"task_id": a.task_id} + >>> agent = Agent() + >>> app.add_middleware(AgentMiddleware, agent=agent) + """ + self.app = app + self.agent = agent + + async def __call__(self, scope, receive, send): + scope["agent"] = self.agent + await self.app(scope, receive, send) diff --git a/autogpts/swifty/forge/sdk/prompting.py b/autogpts/swifty/forge/sdk/prompting.py new file mode 100644 index 00000000..0b8ad33a --- /dev/null +++ b/autogpts/swifty/forge/sdk/prompting.py @@ -0,0 +1,115 @@ +""" +Relative to this file I will have a prompt directory its located ../prompts +In this directory there will be a techniques directory and a directory for each model - gpt-3.5-turbo gpt-4, llama-2-70B, code-llama-7B etc + +Each directory will have jinga2 templates for the prompts. +prompts in the model directories can use the techniques in the techniques directory. + +Write the code I'd need to load and populate the templates. + +I want the following functions: + +class PromptEngine: + + def __init__(self, model): + pass + + def load_prompt(model, prompt_name, prompt_ags) -> str: + pass +""" + +import glob +import os +from difflib import get_close_matches +from typing import List + +from jinja2 import Environment, FileSystemLoader + +from .forge_log import ForgeLogger + +LOG = ForgeLogger(__name__) + + +class PromptEngine: + """ + Class to handle loading and populating Jinja2 templates for prompts. + """ + + def __init__(self, model: str, debug_enabled: bool = False): + """ + Initialize the PromptEngine with the specified model. + + Args: + model (str): The model to use for loading prompts. + debug_enabled (bool): Enable or disable debug logging. + """ + self.model = model + self.debug_enabled = debug_enabled + if self.debug_enabled: + LOG.debug(f"Initializing PromptEngine for model: {model}") + + try: + # Get the list of all model directories + models_dir = os.path.abspath( + os.path.join(os.path.dirname(__file__), "../prompts") + ) + model_names = [ + os.path.basename(os.path.normpath(d)) + for d in glob.glob(os.path.join(models_dir, "*/")) + if os.path.isdir(d) and "techniques" not in d + ] + + self.model = self.get_closest_match(self.model, model_names) + + if self.debug_enabled: + LOG.debug(f"Using the closest match model for prompts: {self.model}") + + self.env = Environment(loader=FileSystemLoader(models_dir)) + except Exception as e: + LOG.error(f"Error initializing Environment: {e}") + raise + + @staticmethod + def get_closest_match(target: str, model_dirs: List[str]) -> str: + """ + Find the closest match to the target in the list of model directories. + + Args: + target (str): The target model. + model_dirs (list): The list of available model directories. + + Returns: + str: The closest match to the target. + """ + try: + matches = get_close_matches(target, model_dirs, n=1, cutoff=0.6) + LOG.warning(matches) + for m in matches: + LOG.info(m) + return matches[0] + except Exception as e: + LOG.error(f"Error finding closest match: {e}") + raise + + def load_prompt(self, template: str, **kwargs) -> str: + """ + Load and populate the specified template. + + Args: + template (str): The name of the template to load. + **kwargs: The arguments to populate the template with. + + Returns: + str: The populated template. + """ + try: + template = os.path.join(self.model, template) + if self.debug_enabled: + LOG.debug(f"Loading template: {template}") + template = self.env.get_template(f"{template}.j2") + if self.debug_enabled: + LOG.debug(f"Rendering template: {template} with args: {kwargs}") + return template.render(**kwargs) + except Exception as e: + LOG.error(f"Error loading or rendering template: {e}") + raise diff --git a/autogpts/swifty/forge/sdk/routes/__init__.py b/autogpts/swifty/forge/sdk/routes/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/autogpts/swifty/forge/sdk/routes/agent_protocol.py b/autogpts/swifty/forge/sdk/routes/agent_protocol.py new file mode 100644 index 00000000..3fb6c3a4 --- /dev/null +++ b/autogpts/swifty/forge/sdk/routes/agent_protocol.py @@ -0,0 +1,611 @@ +""" +Routes for the Agent Service. + +This module defines the API routes for the Agent service. While there are multiple endpoints provided by the service, +the ones that require special attention due to their complexity are: + +1. `execute_agent_task_step`: + This route is significant because this is where the agent actually performs the work. The function handles + executing the next step for a task based on its current state, and it requires careful implementation to ensure + all scenarios (like the presence or absence of steps or a step marked as `last_step`) are handled correctly. + +2. `upload_agent_task_artifacts`: + This route allows for the upload of artifacts, supporting various URI types (e.g., s3, gcs, ftp, http). + The support for different URI types makes it a bit more complex, and it's important to ensure that all + supported URI types are correctly managed. NOTE: The Auto-GPT team will eventually handle the most common + uri types for you. + +3. `create_agent_task`: + While this is a simpler route, it plays a crucial role in the workflow, as it's responsible for the creation + of a new task. + +Developers and contributors should be especially careful when making modifications to these routes to ensure +consistency and correctness in the system's behavior. +""" +import json +from typing import Optional + +from fastapi import APIRouter, Query, Request, Response, UploadFile +from fastapi.responses import FileResponse + +from forge.sdk.errors import * +from forge.sdk.forge_log import ForgeLogger +from forge.sdk.schema import * + +base_router = APIRouter() + +LOG = ForgeLogger(__name__) + + +@base_router.get("/", tags=["root"]) +async def root(): + """ + Root endpoint that returns a welcome message. + """ + return Response(content="Welcome to the Auto-GPT Forge") + + +@base_router.get("/heartbeat", tags=["server"]) +async def check_server_status(): + """ + Check if the server is running. + """ + return Response(content="Server is running.", status_code=200) + + +@base_router.get("/", tags=["root"]) +async def root(): + """ + Root endpoint that returns a welcome message. + """ + return Response(content="Welcome to the Auto-GPT Forge") + + +@base_router.get("/heartbeat", tags=["server"]) +async def check_server_status(): + """ + Check if the server is running. + """ + return Response(content="Server is running.", status_code=200) + + +@base_router.post("/agent/tasks", tags=["agent"], response_model=Task) +async def create_agent_task(request: Request, task_request: TaskRequestBody) -> Task: + """ + Creates a new task using the provided TaskRequestBody and returns a Task. + + Args: + request (Request): FastAPI request object. + task (TaskRequestBody): The task request containing input and additional input data. + + Returns: + Task: A new task with task_id, input, additional_input, and empty lists for artifacts and steps. + + Example: + Request (TaskRequestBody defined in schema.py): + { + "input": "Write the words you receive to the file 'output.txt'.", + "additional_input": "python/code" + } + + Response (Task defined in schema.py): + { + "task_id": "50da533e-3904-4401-8a07-c49adf88b5eb", + "input": "Write the word 'Washington' to a .txt file", + "additional_input": "python/code", + "artifacts": [], + } + """ + agent = request["agent"] + + try: + task_request = await agent.create_task(task_request) + return Response( + content=task_request.json(), + status_code=200, + media_type="application/json", + ) + except Exception: + LOG.exception(f"Error whilst trying to create a task: {task_request}") + return Response( + content=json.dumps({"error": "Internal server error"}), + status_code=500, + media_type="application/json", + ) + + +@base_router.get("/agent/tasks", tags=["agent"], response_model=TaskListResponse) +async def list_agent_tasks( + request: Request, + page: Optional[int] = Query(1, ge=1), + page_size: Optional[int] = Query(10, ge=1), +) -> TaskListResponse: + """ + Retrieves a paginated list of all tasks. + + Args: + request (Request): FastAPI request object. + page (int, optional): The page number for pagination. Defaults to 1. + page_size (int, optional): The number of tasks per page for pagination. Defaults to 10. + + Returns: + TaskListResponse: A response object containing a list of tasks and pagination details. + + Example: + Request: + GET /agent/tasks?page=1&pageSize=10 + + Response (TaskListResponse defined in schema.py): + { + "items": [ + { + "input": "Write the word 'Washington' to a .txt file", + "additional_input": null, + "task_id": "50da533e-3904-4401-8a07-c49adf88b5eb", + "artifacts": [], + "steps": [] + }, + ... + ], + "pagination": { + "total": 100, + "pages": 10, + "current": 1, + "pageSize": 10 + } + } + """ + agent = request["agent"] + try: + tasks = await agent.list_tasks(page, page_size) + return Response( + content=tasks.json(), + status_code=200, + media_type="application/json", + ) + except NotFoundError: + LOG.exception("Error whilst trying to list tasks") + return Response( + content=json.dumps({"error": "Tasks not found"}), + status_code=404, + media_type="application/json", + ) + except Exception: + LOG.exception("Error whilst trying to list tasks") + return Response( + content=json.dumps({"error": "Internal server error"}), + status_code=500, + media_type="application/json", + ) + + +@base_router.get("/agent/tasks/{task_id}", tags=["agent"], response_model=Task) +async def get_agent_task(request: Request, task_id: str) -> Task: + """ + Gets the details of a task by ID. + + Args: + request (Request): FastAPI request object. + task_id (str): The ID of the task. + + Returns: + Task: The task with the given ID. + + Example: + Request: + GET /agent/tasks/50da533e-3904-4401-8a07-c49adf88b5eb + + Response (Task defined in schema.py): + { + "input": "Write the word 'Washington' to a .txt file", + "additional_input": null, + "task_id": "50da533e-3904-4401-8a07-c49adf88b5eb", + "artifacts": [ + { + "artifact_id": "7a49f31c-f9c6-4346-a22c-e32bc5af4d8e", + "file_name": "output.txt", + "agent_created": true, + "uri": "file://50da533e-3904-4401-8a07-c49adf88b5eb/output.txt" + } + ], + "steps": [ + { + "task_id": "50da533e-3904-4401-8a07-c49adf88b5eb", + "step_id": "6bb1801a-fd80-45e8-899a-4dd723cc602e", + "input": "Write the word 'Washington' to a .txt file", + "additional_input": "challenge:write_to_file", + "name": "Write to file", + "status": "completed", + "output": "I am going to use the write_to_file command and write Washington to a file called output.txt ", + "additional_output": "Do you want me to continue?", + "artifacts": [ + { + "artifact_id": "7a49f31c-f9c6-4346-a22c-e32bc5af4d8e", + "file_name": "output.txt", + "agent_created": true, + "uri": "file://50da533e-3904-4401-8a07-c49adf88b5eb/output.txt" + } + ], + "is_last": true + } + ] + } + """ + agent = request["agent"] + try: + task = await agent.get_task(task_id) + return Response( + content=task.json(), + status_code=200, + media_type="application/json", + ) + except NotFoundError: + LOG.exception(f"Error whilst trying to get task: {task_id}") + return Response( + content=json.dumps({"error": "Task not found"}), + status_code=404, + media_type="application/json", + ) + except Exception: + LOG.exception(f"Error whilst trying to get task: {task_id}") + return Response( + content=json.dumps({"error": "Internal server error"}), + status_code=500, + media_type="application/json", + ) + + +@base_router.get( + "/agent/tasks/{task_id}/steps", tags=["agent"], response_model=TaskStepsListResponse +) +async def list_agent_task_steps( + request: Request, + task_id: str, + page: Optional[int] = Query(1, ge=1), + page_size: Optional[int] = Query(10, ge=1, alias="pageSize"), +) -> TaskStepsListResponse: + """ + Retrieves a paginated list of steps associated with a specific task. + + Args: + request (Request): FastAPI request object. + task_id (str): The ID of the task. + page (int, optional): The page number for pagination. Defaults to 1. + page_size (int, optional): The number of steps per page for pagination. Defaults to 10. + + Returns: + TaskStepsListResponse: A response object containing a list of steps and pagination details. + + Example: + Request: + GET /agent/tasks/50da533e-3904-4401-8a07-c49adf88b5eb/steps?page=1&pageSize=10 + + Response (TaskStepsListResponse defined in schema.py): + { + "items": [ + { + "task_id": "50da533e-3904-4401-8a07-c49adf88b5eb", + "step_id": "step1_id", + ... + }, + ... + ], + "pagination": { + "total": 100, + "pages": 10, + "current": 1, + "pageSize": 10 + } + } + """ + agent = request["agent"] + try: + steps = await agent.list_steps(task_id, page, page_size) + return Response( + content=steps.json(), + status_code=200, + media_type="application/json", + ) + except NotFoundError: + LOG.exception("Error whilst trying to list steps") + return Response( + content=json.dumps({"error": "Steps not found"}), + status_code=404, + media_type="application/json", + ) + except Exception: + LOG.exception("Error whilst trying to list steps") + return Response( + content=json.dumps({"error": "Internal server error"}), + status_code=500, + media_type="application/json", + ) + + +@base_router.post("/agent/tasks/{task_id}/steps", tags=["agent"], response_model=Step) +async def execute_agent_task_step( + request: Request, task_id: str, step: Optional[StepRequestBody] = None +) -> Step: + """ + Executes the next step for a specified task based on the current task status and returns the + executed step with additional feedback fields. + + Depending on the current state of the task, the following scenarios are supported: + + 1. No steps exist for the task. + 2. There is at least one step already for the task, and the task does not have a completed step marked as `last_step`. + 3. There is a completed step marked as `last_step` already on the task. + + In each of these scenarios, a step object will be returned with two additional fields: `output` and `additional_output`. + - `output`: Provides the primary response or feedback to the user. + - `additional_output`: Supplementary information or data. Its specific content is not strictly defined and can vary based on the step or agent's implementation. + + Args: + request (Request): FastAPI request object. + task_id (str): The ID of the task. + step (StepRequestBody): The details for executing the step. + + Returns: + Step: Details of the executed step with additional feedback. + + Example: + Request: + POST /agent/tasks/50da533e-3904-4401-8a07-c49adf88b5eb/steps + { + "input": "Step input details...", + ... + } + + Response: + { + "task_id": "50da533e-3904-4401-8a07-c49adf88b5eb", + "step_id": "step1_id", + "output": "Primary feedback...", + "additional_output": "Supplementary details...", + ... + } + """ + agent = request["agent"] + try: + # An empty step request represents a yes to continue command + if not step: + step = StepRequestBody(input="y") + step = await agent.execute_step(task_id, step) + return Response( + content=step.json(), + status_code=200, + media_type="application/json", + ) + except NotFoundError: + LOG.exception(f"Error whilst trying to execute a task step: {task_id}") + return Response( + content=json.dumps({"error": f"Task not found {task_id}"}), + status_code=404, + media_type="application/json", + ) + except Exception as e: + LOG.exception(f"Error whilst trying to execute a task step: {task_id}") + return Response( + content=json.dumps({"error": "Internal server error"}), + status_code=500, + media_type="application/json", + ) + + +@base_router.get( + "/agent/tasks/{task_id}/steps/{step_id}", tags=["agent"], response_model=Step +) +async def get_agent_task_step(request: Request, task_id: str, step_id: str) -> Step: + """ + Retrieves the details of a specific step for a given task. + + Args: + request (Request): FastAPI request object. + task_id (str): The ID of the task. + step_id (str): The ID of the step. + + Returns: + Step: Details of the specific step. + + Example: + Request: + GET /agent/tasks/50da533e-3904-4401-8a07-c49adf88b5eb/steps/step1_id + + Response: + { + "task_id": "50da533e-3904-4401-8a07-c49adf88b5eb", + "step_id": "step1_id", + ... + } + """ + agent = request["agent"] + try: + step = await agent.get_step(task_id, step_id) + return Response(content=step.json(), status_code=200) + except NotFoundError: + LOG.exception(f"Error whilst trying to get step: {step_id}") + return Response( + content=json.dumps({"error": "Step not found"}), + status_code=404, + media_type="application/json", + ) + except Exception: + LOG.exception(f"Error whilst trying to get step: {step_id}") + return Response( + content=json.dumps({"error": "Internal server error"}), + status_code=500, + media_type="application/json", + ) + + +@base_router.get( + "/agent/tasks/{task_id}/artifacts", + tags=["agent"], + response_model=TaskArtifactsListResponse, +) +async def list_agent_task_artifacts( + request: Request, + task_id: str, + page: Optional[int] = Query(1, ge=1), + page_size: Optional[int] = Query(10, ge=1, alias="pageSize"), +) -> TaskArtifactsListResponse: + """ + Retrieves a paginated list of artifacts associated with a specific task. + + Args: + request (Request): FastAPI request object. + task_id (str): The ID of the task. + page (int, optional): The page number for pagination. Defaults to 1. + page_size (int, optional): The number of items per page for pagination. Defaults to 10. + + Returns: + TaskArtifactsListResponse: A response object containing a list of artifacts and pagination details. + + Example: + Request: + GET /agent/tasks/50da533e-3904-4401-8a07-c49adf88b5eb/artifacts?page=1&pageSize=10 + + Response (TaskArtifactsListResponse defined in schema.py): + { + "items": [ + {"artifact_id": "artifact1_id", ...}, + {"artifact_id": "artifact2_id", ...}, + ... + ], + "pagination": { + "total": 100, + "pages": 10, + "current": 1, + "pageSize": 10 + } + } + """ + agent = request["agent"] + try: + artifacts: TaskArtifactsListResponse = await agent.list_artifacts( + task_id, page, page_size + ) + LOG.info(f"Artifacts: {artifacts.json()}") + return artifacts + except NotFoundError: + LOG.exception("Error whilst trying to list artifacts") + return Response( + content=json.dumps({"error": "Artifacts not found for task_id"}), + status_code=404, + media_type="application/json", + ) + except Exception: + LOG.exception("Error whilst trying to list artifacts") + return Response( + content=json.dumps({"error": "Internal server error"}), + status_code=500, + media_type="application/json", + ) + + +@base_router.post( + "/agent/tasks/{task_id}/artifacts", tags=["agent"], response_model=Artifact +) +async def upload_agent_task_artifacts( + request: Request, task_id: str, file: UploadFile, relative_path: Optional[str] = "" +) -> Artifact: + """ + This endpoint is used to upload an artifact associated with a specific task. The artifact is provided as a file. + + Args: + request (Request): The FastAPI request object. + task_id (str): The unique identifier of the task for which the artifact is being uploaded. + file (UploadFile): The file being uploaded as an artifact. + relative_path (str): The relative path for the file. This is a query parameter. + + Returns: + Artifact: An object containing metadata of the uploaded artifact, including its unique identifier. + + Example: + Request: + POST /agent/tasks/50da533e-3904-4401-8a07-c49adf88b5eb/artifacts?relative_path=my_folder/my_other_folder + File: + + Response: + { + "artifact_id": "b225e278-8b4c-4f99-a696-8facf19f0e56", + "created_at": "2023-01-01T00:00:00Z", + "modified_at": "2023-01-01T00:00:00Z", + "agent_created": false, + "relative_path": "/my_folder/my_other_folder/", + "file_name": "main.py" + } + """ + agent = request["agent"] + + if file is None: + return Response( + content=json.dumps({"error": "File must be specified"}), + status_code=404, + media_type="application/json", + ) + try: + artifact = await agent.create_artifact(task_id, file, relative_path) + return Response( + content=artifact.json(), + status_code=200, + media_type="application/json", + ) + except Exception: + LOG.exception(f"Error whilst trying to upload artifact: {task_id}") + return Response( + content=json.dumps({"error": "Internal server error"}), + status_code=500, + media_type="application/json", + ) + + +@base_router.get( + "/agent/tasks/{task_id}/artifacts/{artifact_id}", tags=["agent"], response_model=str +) +async def download_agent_task_artifact( + request: Request, task_id: str, artifact_id: str +) -> FileResponse: + """ + Downloads an artifact associated with a specific task. + + Args: + request (Request): FastAPI request object. + task_id (str): The ID of the task. + artifact_id (str): The ID of the artifact. + + Returns: + FileResponse: The downloaded artifact file. + + Example: + Request: + GET /agent/tasks/50da533e-3904-4401-8a07-c49adf88b5eb/artifacts/artifact1_id + + Response: + + """ + agent = request["agent"] + try: + return await agent.get_artifact(task_id, artifact_id) + except NotFoundError: + LOG.exception(f"Error whilst trying to download artifact: {task_id}") + return Response( + content=json.dumps( + { + "error": f"Artifact not found - task_id: {task_id}, artifact_id: {artifact_id}" + } + ), + status_code=404, + media_type="application/json", + ) + except Exception: + LOG.exception(f"Error whilst trying to download artifact: {task_id}") + return Response( + content=json.dumps( + { + "error": f"Internal server error - task_id: {task_id}, artifact_id: {artifact_id}" + } + ), + status_code=500, + media_type="application/json", + ) diff --git a/autogpts/swifty/forge/sdk/schema.py b/autogpts/swifty/forge/sdk/schema.py new file mode 100644 index 00000000..677a7fdd --- /dev/null +++ b/autogpts/swifty/forge/sdk/schema.py @@ -0,0 +1,189 @@ +# generated by fastapi-codegen: +# filename: ../../postman/schemas/openapi.yaml +# timestamp: 2023-08-25T10:36:11+00:00 + +from __future__ import annotations + +from datetime import datetime +from enum import Enum +from typing import List, Optional + +from pydantic import BaseModel, Field + + +class ArtifactUpload(BaseModel): + file: str = Field(..., description="File to upload.", format="binary") + relative_path: str = Field( + ..., + description="Relative path of the artifact in the agent's workspace.", + example="python/code", + ) + + +class Pagination(BaseModel): + total_items: int = Field(..., description="Total number of items.", example=42) + total_pages: int = Field(..., description="Total number of pages.", example=97) + current_page: int = Field(..., description="Current_page page number.", example=1) + page_size: int = Field(..., description="Number of items per page.", example=25) + + +class TaskInput(BaseModel): + pass + + +class Artifact(BaseModel): + created_at: datetime = Field( + ..., + description="The creation datetime of the task.", + example="2023-01-01T00:00:00Z", + json_encoders={datetime: lambda v: v.isoformat()}, + ) + modified_at: datetime = Field( + ..., + description="The modification datetime of the task.", + example="2023-01-01T00:00:00Z", + json_encoders={datetime: lambda v: v.isoformat()}, + ) + artifact_id: str = Field( + ..., + description="ID of the artifact.", + example="b225e278-8b4c-4f99-a696-8facf19f0e56", + ) + agent_created: bool = Field( + ..., + description="Whether the artifact has been created by the agent.", + example=False, + ) + relative_path: str = Field( + ..., + description="Relative path of the artifact in the agents workspace.", + example="/my_folder/my_other_folder/", + ) + file_name: str = Field( + ..., + description="Filename of the artifact.", + example="main.py", + ) + + +class StepInput(BaseModel): + pass + + +class StepOutput(BaseModel): + pass + + +class TaskRequestBody(BaseModel): + input: str = Field( + ..., + min_length=1, + description="Input prompt for the task.", + example="Write the words you receive to the file 'output.txt'.", + ) + additional_input: Optional[TaskInput] = {} + + +class Task(TaskRequestBody): + created_at: datetime = Field( + ..., + description="The creation datetime of the task.", + example="2023-01-01T00:00:00Z", + json_encoders={datetime: lambda v: v.isoformat()}, + ) + modified_at: datetime = Field( + ..., + description="The modification datetime of the task.", + example="2023-01-01T00:00:00Z", + json_encoders={datetime: lambda v: v.isoformat()}, + ) + task_id: str = Field( + ..., + description="The ID of the task.", + example="50da533e-3904-4401-8a07-c49adf88b5eb", + ) + artifacts: Optional[List[Artifact]] = Field( + [], + description="A list of artifacts that the task has produced.", + example=[ + "7a49f31c-f9c6-4346-a22c-e32bc5af4d8e", + "ab7b4091-2560-4692-a4fe-d831ea3ca7d6", + ], + ) + + +class StepRequestBody(BaseModel): + name: Optional[str] = Field( + None, description="The name of the task step.", example="Write to file" + ) + input: Optional[str] = Field( + None, + min_length=1, + description="Input prompt for the step.", + example="Washington", + ) + additional_input: Optional[StepInput] = {} + + +class Status(Enum): + created = "created" + running = "running" + completed = "completed" + + +class Step(StepRequestBody): + created_at: datetime = Field( + ..., + description="The creation datetime of the task.", + example="2023-01-01T00:00:00Z", + json_encoders={datetime: lambda v: v.isoformat()}, + ) + modified_at: datetime = Field( + ..., + description="The modification datetime of the task.", + example="2023-01-01T00:00:00Z", + json_encoders={datetime: lambda v: v.isoformat()}, + ) + task_id: str = Field( + ..., + description="The ID of the task this step belongs to.", + example="50da533e-3904-4401-8a07-c49adf88b5eb", + ) + step_id: str = Field( + ..., + description="The ID of the task step.", + example="6bb1801a-fd80-45e8-899a-4dd723cc602e", + ) + name: Optional[str] = Field( + None, description="The name of the task step.", example="Write to file" + ) + status: Status = Field( + ..., description="The status of the task step.", example="created" + ) + output: Optional[str] = Field( + None, + description="Output of the task step.", + example="I am going to use the write_to_file command and write Washington to a file called output.txt None: + self.base_path = base_path + + @abc.abstractclassmethod + def read(self, task_id: str, path: str) -> bytes: + pass + + @abc.abstractclassmethod + def write(self, task_id: str, path: str, data: bytes) -> None: + pass + + @abc.abstractclassmethod + def delete( + self, task_id: str, path: str, directory: bool = False, recursive: bool = False + ) -> None: + pass + + @abc.abstractclassmethod + def exists(self, task_id: str, path: str) -> bool: + pass + + @abc.abstractclassmethod + def list(self, task_id: str, path: str) -> typing.List[str]: + pass + + +class LocalWorkspace(Workspace): + def __init__(self, base_path: str): + self.base_path = Path(base_path).resolve() + + def _resolve_path(self, task_id: str, path: str) -> Path: + abs_path = (self.base_path / task_id / path).resolve() + if not str(abs_path).startswith(str(self.base_path)): + print("Error") + raise ValueError("Directory traversal is not allowed!") + abs_path.parent.mkdir(parents=True, exist_ok=True) + return abs_path + + def read(self, task_id: str, path: str) -> bytes: + with open(self._resolve_path(task_id, path), "rb") as f: + return f.read() + + def write(self, task_id: str, path: str, data: bytes) -> None: + file_path = self._resolve_path(task_id, path) + with open(file_path, "wb") as f: + f.write(data) + + def delete( + self, task_id: str, path: str, directory: bool = False, recursive: bool = False + ) -> None: + path = self.base_path / task_id / path + resolved_path = self._resolve_path(task_id, path) + if directory: + if recursive: + os.rmdir(resolved_path) + else: + os.removedirs(resolved_path) + else: + os.remove(resolved_path) + + def exists(self, task_id: str, path: str) -> bool: + path = self.base_path / task_id / path + return self._resolve_path(task_id, path).exists() + + def list(self, task_id: str, path: str) -> typing.List[str]: + path = self.base_path / task_id / path + base = self._resolve_path(task_id, path) + return [str(p.relative_to(self.base_path / task_id)) for p in base.iterdir()] diff --git a/autogpts/swifty/forge/sdk/workspace_test.py b/autogpts/swifty/forge/sdk/workspace_test.py new file mode 100644 index 00000000..f259c86b --- /dev/null +++ b/autogpts/swifty/forge/sdk/workspace_test.py @@ -0,0 +1,47 @@ +import os + +import pytest + +# Assuming the classes are defined in a file named workspace.py +from .workspace import LocalWorkspace + +# Constants +TEST_BASE_PATH = "/tmp/test_workspace" +TEST_FILE_CONTENT = b"Hello World" +TEST_TASK_ID = "1234" + + +# Setup and Teardown for LocalWorkspace + + +@pytest.fixture +def setup_local_workspace(): + os.makedirs(TEST_BASE_PATH, exist_ok=True) + yield + os.system(f"rm -rf {TEST_BASE_PATH}") # Cleanup after tests + + +def test_local_read_write_delete_exists(setup_local_workspace): + workspace = LocalWorkspace(TEST_BASE_PATH) + + # Write + workspace.write(TEST_TASK_ID, "test_file.txt", TEST_FILE_CONTENT) + + # Exists + assert workspace.exists(TEST_TASK_ID, "test_file.txt") + + # Read + assert workspace.read(TEST_TASK_ID, "test_file.txt") == TEST_FILE_CONTENT + + # Delete + workspace.delete(TEST_TASK_ID, "test_file.txt") + assert not workspace.exists(TEST_TASK_ID, "test_file.txt") + + +def test_local_list(setup_local_workspace): + workspace = LocalWorkspace(TEST_BASE_PATH) + workspace.write(TEST_TASK_ID, "test1.txt", TEST_FILE_CONTENT) + workspace.write(TEST_TASK_ID, "test2.txt", TEST_FILE_CONTENT) + + files = workspace.list(TEST_TASK_ID, ".") + assert set(files) == {"test1.txt", "test2.txt"} diff --git a/autogpts/swifty/integrations/README.md b/autogpts/swifty/integrations/README.md new file mode 100644 index 00000000..199058af --- /dev/null +++ b/autogpts/swifty/integrations/README.md @@ -0,0 +1,5 @@ +You developed a tool that could help people build agents ? + +Fork this repository, integrate your tool to the forge and send us the link of your fork in the autogpt discord: https://discord.gg/autogpt (ping maintainers) + +PS: make sure the way you integrate your tool allows for easy rebases from upstream. diff --git a/autogpts/swifty/mypy.ini b/autogpts/swifty/mypy.ini new file mode 100644 index 00000000..1b1cd540 --- /dev/null +++ b/autogpts/swifty/mypy.ini @@ -0,0 +1,13 @@ +[mypy] +namespace_packages = True +follow_imports = skip +check_untyped_defs = True +disallow_untyped_defs = True +exclude = ^(agbenchmark/challenges/|agent/|venv|venv-dev) +ignore_missing_imports = True + +[mypy-agbenchmark.utils.data_types.*] +ignore_errors = True + +[mypy-numpy.*] +ignore_errors = True diff --git a/autogpts/swifty/poetry.lock b/autogpts/swifty/poetry.lock new file mode 100644 index 00000000..123f2b4c --- /dev/null +++ b/autogpts/swifty/poetry.lock @@ -0,0 +1,3693 @@ +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. + +[[package]] +name = "aenum" +version = "3.1.15" +description = "Advanced Enumerations (compatible with Python's stdlib Enum), NamedTuples, 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index 00000000..e990c826 --- /dev/null +++ b/autogpts/swifty/run @@ -0,0 +1,11 @@ +#!/bin/bash + +kill $(lsof -t -i :8000) +kill $(lsof -t -i :8080) +poetry install +if [ ! -f .env ]; then + cp .env.example .env + echo "Please add your api keys to the .env file." +fi +poetry run python -m forge & +agbenchmark serve & diff --git a/autogpts/swifty/run_benchmark.sh b/autogpts/swifty/run_benchmark.sh new file mode 100755 index 00000000..f1fc0ae0 --- /dev/null +++ b/autogpts/swifty/run_benchmark.sh @@ -0,0 +1,10 @@ +#!/bin/bash + + +kill $(lsof -t -i :8000) +poetry install +poetry run pip3 uninstall agbenchmark --yes +poetry run pip3 install -e ../../benchmark +poetry run python3 -m forge & +export PYTHONPATH=$PYTHONPATH:../../benchmark/agbenchmark +poetry run python3 -m agbenchmark start "$@"