diff --git a/.flake8 b/.flake8
deleted file mode 100644
index 97c0db09..00000000
--- a/.flake8
+++ /dev/null
@@ -1,11 +0,0 @@
-[flake8]
-max-line-length = 127
-extend-ignore = E203
-per-file-ignores =
- # Most of this is just long strings
- ./swarms/prompts/**.py: E501 W293 W291
- ./swarms/__init__.py: F401
-exclude =
- ./playground
- ./tests
- ./scripts
\ No newline at end of file
diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml
index 17d44f5d..e3733b98 100644
--- a/.github/FUNDING.yml
+++ b/.github/FUNDING.yml
@@ -1,5 +1,6 @@
---
# These are supported funding model platforms
+
github: [kyegomez]
# patreon: # Replace with a single Patreon username
# open_collective: # Replace with a single Open Collective username
diff --git a/.github/action.yml b/.github/action.yml
new file mode 100644
index 00000000..f2f9016c
--- /dev/null
+++ b/.github/action.yml
@@ -0,0 +1,37 @@
+name: "Init Environment"
+description: "Initialize environment for tests"
+runs:
+ using: "composite"
+ steps:
+ - name: Checkout actions
+ uses: actions/checkout@v3
+
+ - name: Set up Python ${{ matrix.python-version }}
+ uses: actions/setup-python@v4
+ with:
+ python-version: ${{ matrix.python-version }}
+
+ - name: Install and configure Poetry
+ uses: snok/install-poetry@v1
+ with:
+ virtualenvs-create: true
+ virtualenvs-in-project: true
+ installer-parallel: true
+
+ - name: Load cached venv
+ id: cached-poetry-dependencies
+ uses: actions/cache@v3
+ with:
+ path: .venv
+ key: venv-${{ runner.os }}-${{ steps.setup-python.outputs.python-version }}-${{ hashFiles('**/poetry.lock') }}
+
+ - name: Install dependencies
+ if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
+ run: poetry install --no-interaction --no-root --with test --with dev --all-extras
+ shell: bash
+
+ - name: Activate venv
+ run: |
+ source .venv/bin/activate
+ echo PATH=$PATH >> $GITHUB_ENV
+ shell: bash
\ No newline at end of file
diff --git a/.github/dependabot.yml b/.github/dependabot.yml
index 3b365943..b523994a 100644
--- a/.github/dependabot.yml
+++ b/.github/dependabot.yml
@@ -1,11 +1,13 @@
---
# https://docs.github.com/en/code-security/supply-chain-security/keeping-your-dependencies-updated-automatically/configuration-options-for-dependency-updates
+
version: 2
updates:
- package-ecosystem: "github-actions"
directory: "/"
schedule:
interval: "weekly"
+
- package-ecosystem: "pip"
directory: "/"
schedule:
diff --git a/.github/labeler.yml b/.github/labeler.yml
index 01b9aec3..1fb9d7ec 100644
--- a/.github/labeler.yml
+++ b/.github/labeler.yml
@@ -1,52 +1,14 @@
---
-documentation:
- - changed-files:
- - any-glob-to-any-file: ["docs/**", "*.md"]
-tests:
- - changed-files:
- - any-glob-to-any-file: "tests/**"
-agents:
- - changed-files:
- - any-glob-to-any-file: "swarms/agents/**"
-artifacts:
- - changed-files:
- - any-glob-to-any-file: "swarms/artifacts/**"
-chunkers:
- - changed-files:
- - any-glob-to-any-file: "swarms/chunkers/**"
-cli:
- - changed-files:
- - any-glob-to-any-file: "swarms/cli/**"
-loaders:
- - changed-files:
- - any-glob-to-any-file: "swarms/loaders/**"
-memory:
- - changed-files:
- - any-glob-to-any-file: "swarms/memory/**"
-models:
- - changed-files:
- - any-glob-to-any-file: "swarms/models/**"
-prompts:
- - changed-files:
- - any-glob-to-any-file: "swarms/prompts/**"
-structs:
- - changed-files:
- - any-glob-to-any-file: "swarms/structs/**"
-telemetry:
- - changed-files:
- - any-glob-to-any-file: "swarms/telemetry/**"
-tokenizers:
- - changed-files:
- - any-glob-to-any-file: "swarms/tokenizers/**"
-tools:
- - changed-files:
- - any-glob-to-any-file: "swarms/tools/**"
-utils:
- - changed-files:
- - any-glob-to-any-file: "swarms/utils/**"
-workers:
- - changed-files:
- - any-glob-to-any-file: "swarms/workers/**"
-rust:
- - changed-files:
- - any-glob-to-any-file: "**/*.rs"
+# this is a config file for the github action labeler
+
+# Add 'label1' to any changes within 'example' folder or any subfolders
+example_change:
+ - example/**
+
+# Add 'label2' to any file changes within 'example2' folder
+example2_change: example2/*
+
+# Add label3 to any change to .txt files within the entire repository.
+# Quotation marks are required for the leading asterisk
+text_files:
+ - '**/*.txt'
diff --git a/.github/library/setup/action.yml b/.github/library/setup/action.yml
deleted file mode 100644
index b2781074..00000000
--- a/.github/library/setup/action.yml
+++ /dev/null
@@ -1,44 +0,0 @@
----
-name: "Setup"
-description: Setup the environment for the project
-inputs:
- python-version:
- description: "Python version to use"
- required: false
- default: "3.10"
-runs:
- using: "composite"
- steps:
- - name: Free up disk space
- run: |
- sudo rm -rf /usr/share/dotnet /usr/local/lib/android /opt/ghc /opt/hostedtoolcache/CodeQL
- sudo docker image prune --all --force
- shell: bash
- - name: Set up Python ${{ inputs.python-version }}
- uses: actions/setup-python@v4
- with:
- python-version: ${{ inputs.python-version }}
- - name: Install and configure Poetry
- uses: snok/install-poetry@v1
- with:
- installer-parallel: true
- - name: Cache Poetry cache
- uses: actions/cache@v4
- with:
- path: ~/.cache/pypoetry
- key: poetry-cache
- -${{ runner.os }}
- -${{ steps.setup_python.outputs.python-version }}
- -${{ env.POETRY_VERSION }}
- - name: Cache Packages
- uses: actions/cache@v4
- with:
- path: ~/.local
- key: poetry-local
- -${{ runner.os }}
- -${{ steps.setup_python.outputs.python-version }}
- -${{ hashFiles('**/poetry.lock')}}
- -${{ hashFiles('.github/workflows/*.yml') }}
- - name: Install dependencies
- run: POETRY_VIRTUALENVS_CREATE=false poetry install
- shell: bash
diff --git a/.github/workflows/RELEASE.yml b/.github/workflows/RELEASE.yml
index a2a96311..b219bb77 100644
--- a/.github/workflows/RELEASE.yml
+++ b/.github/workflows/RELEASE.yml
@@ -1,5 +1,5 @@
----
name: release
+
on:
pull_request:
types:
@@ -7,18 +7,26 @@ on:
branches:
- master
paths:
- - "pyproject.toml"
+ - 'pyproject.toml'
+
env:
POETRY_VERSION: "1.4.2"
+
jobs:
if_release:
if: |
- ${{ github.event.pull_request.merged == true }}
- && ${{ contains(github.event.pull_request.labels.*.name, 'release') }}
+ ${{ github.event.pull_request.merged == true }}
+ && ${{ contains(github.event.pull_request.labels.*.name, 'release') }}
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- - uses: ./.github/library/setup
+ - name: Install poetry
+ run: pipx install poetry==$POETRY_VERSION
+ - name: Set up Python 3.9
+ uses: actions/setup-python@v5
+ with:
+ python-version: "3.9"
+ cache: "poetry"
- name: Build project for distribution
run: poetry build
- name: Check Version
@@ -37,5 +45,5 @@ jobs:
- name: Publish to PyPI
env:
POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }}
- run: |-
- poetry publish
+ run: |
+ poetry publish
\ No newline at end of file
diff --git a/.github/workflows/codacy.yml b/.github/workflows/codacy.yml
index 2274b506..5f58b11d 100644
--- a/.github/workflows/codacy.yml
+++ b/.github/workflows/codacy.yml
@@ -1,4 +1,3 @@
----
# This workflow uses actions that are not certified by GitHub.
# They are provided by a third-party and are governed by
# separate terms of service, privacy policy, and support
@@ -11,38 +10,39 @@
# https://github.com/codacy/codacy-analysis-cli-action.
# For more information on Codacy Analysis CLI in general, see
# https://github.com/codacy/codacy-analysis-cli.
+
name: Codacy Security Scan
+
on:
push:
- branches: ["master"]
+ branches: [ "master" ]
pull_request:
# The branches below must be a subset of the branches above
- branches: ["master"]
+ branches: [ "master" ]
schedule:
- cron: '18 23 * * 4'
+
permissions:
contents: read
+
jobs:
codacy-security-scan:
permissions:
- # for actions/checkout to fetch code
- contents: read
- # for github/codeql-action/upload-sarif to upload SARIF results
- security-events: write
- # only required for a private repository by github/codeql-action/upload-sarif to get the Action run status
- actions: read
+ contents: read # for actions/checkout to fetch code
+ security-events: write # for github/codeql-action/upload-sarif to upload SARIF results
+ actions: read # only required for a private repository by github/codeql-action/upload-sarif to get the Action run status
name: Codacy Security Scan
runs-on: ubuntu-latest
steps:
# Checkout the repository to the GitHub Actions runner
- name: Checkout code
uses: actions/checkout@v4
+
# Execute Codacy Analysis CLI and generate a SARIF output with the security issues identified during the analysis
- name: Run Codacy Analysis CLI
uses: codacy/codacy-analysis-cli-action@33d455949345bddfdb845fba76b57b70cc83754b
with:
- # Check https://github.com/codacy/codacy-analysis-cli#project-token
- # to get your project token from your Codacy repository
+ # Check https://github.com/codacy/codacy-analysis-cli#project-token to get your project token from your Codacy repository
# You can also omit the token and run the tools that support default configurations
project-token: ${{ secrets.CODACY_PROJECT_TOKEN }}
verbose: true
@@ -53,6 +53,7 @@ jobs:
# Force 0 exit code to allow SARIF file generation
# This will handover control about PR rejection to the GitHub side
max-allowed-issues: 2147483647
+
# Upload the SARIF file generated in the previous step
- name: Upload SARIF results file
uses: github/codeql-action/upload-sarif@v3
diff --git a/.github/workflows/codeql.yml b/.github/workflows/codeql.yml
index c3e50e39..56930314 100644
--- a/.github/workflows/codeql.yml
+++ b/.github/workflows/codeql.yml
@@ -1,4 +1,3 @@
----
# For most projects, this workflow file will not need changing; you simply need
# to commit it to your repository.
#
@@ -11,14 +10,16 @@
# supported CodeQL languages.
#
name: "CodeQL"
+
on:
push:
- branches: ["master"]
+ branches: [ "master" ]
pull_request:
# The branches below must be a subset of the branches above
- branches: ["master"]
+ branches: [ "master" ]
schedule:
- cron: '33 12 * * 5'
+
jobs:
analyze:
name: Analyze
@@ -33,42 +34,49 @@ jobs:
actions: read
contents: read
security-events: write
+
strategy:
fail-fast: false
matrix:
- language: ['python']
+ language: [ 'python' ]
# CodeQL supports [ 'c-cpp', 'csharp', 'go', 'java-kotlin', 'javascript-typescript', 'python', 'ruby', 'swift' ]
# Use only 'java-kotlin' to analyze code written in Java, Kotlin or both
# Use only 'javascript-typescript' to analyze code written in JavaScript, TypeScript or both
# Learn more about CodeQL language support at https://aka.ms/codeql-docs/language-support
+
steps:
- - name: Checkout repository
- uses: actions/checkout@v4
- # Initializes the CodeQL tools for scanning.
- - name: Initialize CodeQL
- uses: github/codeql-action/init@v3
- with:
- languages: ${{ matrix.language }}
- # If you wish to specify custom queries, you can do so here or in a config file.
- # By default, queries listed here will override any specified in a config file.
- # Prefix the list here with "+" to use these queries and those in the config file.
- # Autobuild attempts to build any compiled languages (C/C++, C#, Go, Java, or Swift).
- # If this step fails, then you should remove it and run the build manually (see below)
- - name: Autobuild
- # For more details on CodeQL's query packs, refer to:
- # https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs
+ - name: Checkout repository
+ uses: actions/checkout@v4
+
+ # Initializes the CodeQL tools for scanning.
+ - name: Initialize CodeQL
+ uses: github/codeql-action/init@v3
+ with:
+ languages: ${{ matrix.language }}
+ # If you wish to specify custom queries, you can do so here or in a config file.
+ # By default, queries listed here will override any specified in a config file.
+ # Prefix the list here with "+" to use these queries and those in the config file.
+
+ # For more details on CodeQL's query packs, refer to: https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs
# queries: security-extended,security-and-quality
- uses: github/codeql-action/autobuild@v3
- # - run: |
- # echo "Run, Build Application using script"
- # ./location_of_script_within_repo/buildscript.sh
- - name: Perform CodeQL Analysis
- # âšī¸ Command-line programs to run using the OS shell.
- # đ See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
- # If the Autobuild fails above, remove it and uncomment the following three lines.
- # modify them (or add more) to build your code if your project, please refer to the EXAMPLE below for guidance.
- uses: github/codeql-action/analyze@v3
- with:
- category: "/language:${{matrix.language}}"
+ # Autobuild attempts to build any compiled languages (C/C++, C#, Go, Java, or Swift).
+ # If this step fails, then you should remove it and run the build manually (see below)
+ - name: Autobuild
+ uses: github/codeql-action/autobuild@v3
+
+ # âšī¸ Command-line programs to run using the OS shell.
+ # đ See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
+
+ # If the Autobuild fails above, remove it and uncomment the following three lines.
+ # modify them (or add more) to build your code if your project, please refer to the EXAMPLE below for guidance.
+
+ # - run: |
+ # echo "Run, Build Application using script"
+ # ./location_of_script_within_repo/buildscript.sh
+
+ - name: Perform CodeQL Analysis
+ uses: github/codeql-action/analyze@v3
+ with:
+ category: "/language:${{matrix.language}}"
diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index e04fb4c7..0b830b9f 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -1,5 +1,5 @@
----
name: Docs WorkAgent
+
on:
push:
branches:
@@ -11,8 +11,10 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- - uses: ./.github/library/setup
+ - uses: actions/setup-python@v5
+ with:
+ python-version: 3.x
- run: pip install mkdocs-material
- run: pip install mkdocs-glightbox
- run: pip install "mkdocstrings[python]"
- - run: mkdocs gh-deploy --force
+ - run: mkdocs gh-deploy --force
\ No newline at end of file
diff --git a/.github/workflows/label.yml b/.github/workflows/label.yml
index a3ba8739..d23c4d40 100644
--- a/.github/workflows/label.yml
+++ b/.github/workflows/label.yml
@@ -1,20 +1,22 @@
----
# This workflow will triage pull requests and apply a label based on the
# paths that are modified in the pull request.
#
# To use this workflow, you will need to set up a .github/labeler.yml
# file with configuration. For more information, see:
# https://github.com/actions/labeler
+
name: Labeler
on: [pull_request_target]
+
jobs:
label:
+
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: write
+
steps:
- - uses: actions/labeler@v5
- with:
- repo-token: "${{ secrets.GITHUB_TOKEN }}"
- sync-labels: true
+ - uses: actions/labeler@v5
+ with:
+ repo-token: "${{ secrets.GITHUB_TOKEN }}"
diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml
index c9b71b12..b38491c2 100644
--- a/.github/workflows/lint.yml
+++ b/.github/workflows/lint.yml
@@ -1,42 +1,27 @@
----
+
name: Lint
-on: [push, pull_request]
+
+on: [push, pull_request] # yamllint disable-line rule:truthy
+
jobs:
yaml-lint:
runs-on: ubuntu-latest
steps:
- - uses: actions/checkout@v4
- - uses: ./.github/library/setup
+ - name: Check out source repository
+ uses: actions/checkout@v4
- name: yaml Lint
uses: ibiqlik/action-yamllint@v3
- with:
- file_or_dir: ${{ github.workspace }}
flake8-lint:
runs-on: ubuntu-latest
name: flake8 Lint
steps:
- - uses: actions/checkout@v4
- - uses: ./.github/library/setup
+ - name: Check out source repository
+ uses: actions/checkout@v4
- name: Set up Python environment
uses: py-actions/flake8@v2
- with:
- args: --verbose
ruff-lint:
runs-on: ubuntu-latest
name: ruff Lint
steps:
- uses: actions/checkout@v4
- - uses: ./.github/library/setup
- uses: chartboost/ruff-action@v1
- pylint-lint:
- runs-on: ubuntu-latest
- name: pylint Lint
- steps:
- - uses: actions/checkout@v4
- - uses: ./.github/library/setup
- - name: Install dependencies
- run: |
- pip install pylint
- - name: Analysing the code with pylint
- run: |
- pylint $(git ls-files '*.py')
diff --git a/.github/workflows/pr_labeler.yml b/.github/workflows/pr_labeler.yml
new file mode 100644
index 00000000..7745d717
--- /dev/null
+++ b/.github/workflows/pr_labeler.yml
@@ -0,0 +1,15 @@
+name: "PR Labeler"
+
+on:
+ pull_request_target:
+ types: ["opened", "reopened", "ready_for_review"]
+
+jobs:
+ triage:
+ permissions:
+ contents: read
+ pull-requests: write
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/labeler@v5
+ if: ${{ github.event.pull_request.draft == false }}
\ No newline at end of file
diff --git a/.github/workflows/pr_request_checks.yml b/.github/workflows/pr_request_checks.yml
new file mode 100644
index 00000000..cfc01afb
--- /dev/null
+++ b/.github/workflows/pr_request_checks.yml
@@ -0,0 +1,30 @@
+name: Pull Request Checks
+
+on:
+ pull_request:
+ branches:
+ - master
+
+jobs:
+ test:
+ runs-on: ubuntu-latest
+
+ steps:
+ - name: Checkout code
+ uses: actions/checkout@v4
+
+ - name: Set up Python
+ uses: actions/setup-python@v5
+ with:
+ python-version: 3.x
+
+ - name: Install dependencies
+ run: |
+ pip install -r requirements.txt
+ pip install swarms
+ pip install pytest
+
+ - name: Run tests and checks
+ run: |
+ pytest
+ pylint swarms
diff --git a/.github/workflows/pull-request-links.yml b/.github/workflows/pull-request-links.yml
index b801a86d..4cb674d8 100644
--- a/.github/workflows/pull-request-links.yml
+++ b/.github/workflows/pull-request-links.yml
@@ -1,4 +1,3 @@
----
name: readthedocs/actions
on:
pull_request_target:
@@ -6,12 +5,14 @@ on:
- opened
paths:
- "docs/**"
+
permissions:
pull-requests: write
+
jobs:
pull-request-links:
runs-on: ubuntu-latest
steps:
- uses: readthedocs/actions/preview@v1
with:
- project-slug: swarms
+ project-slug: swarms
\ No newline at end of file
diff --git a/.github/workflows/pylint.yml b/.github/workflows/pylint.yml
new file mode 100644
index 00000000..d3f42fb1
--- /dev/null
+++ b/.github/workflows/pylint.yml
@@ -0,0 +1,23 @@
+name: Pylint
+
+on: [push]
+
+jobs:
+ build:
+ runs-on: ubuntu-latest
+ strategy:
+ matrix:
+ python-version: ["3.8", "3.9", "3.10"]
+ steps:
+ - uses: actions/checkout@v4
+ - name: Set up Python ${{ matrix.python-version }}
+ uses: actions/setup-python@v5
+ with:
+ python-version: ${{ matrix.python-version }}
+ - name: Install dependencies
+ run: |
+ python -m pip install --upgrade pip
+ pip install pylint
+ - name: Analysing the code with pylint
+ run: |
+ pylint $(git ls-files '*.py')
diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
new file mode 100644
index 00000000..adc0c5ef
--- /dev/null
+++ b/.github/workflows/python-app.yml
@@ -0,0 +1,39 @@
+# This workflow will install Python dependencies, run tests and lint with a single version of Python
+# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
+
+name: Python application
+
+on:
+ push:
+ branches: [ "master" ]
+ pull_request:
+ branches: [ "master" ]
+
+permissions:
+ contents: read
+
+jobs:
+ build:
+
+ runs-on: ubuntu-latest
+
+ steps:
+ - uses: actions/checkout@v4
+ - name: Set up Python 3.10
+ uses: actions/setup-python@v5
+ with:
+ python-version: "3.10"
+ - name: Install dependencies
+ run: |
+ python -m pip install --upgrade pip
+ pip install flake8 pytest swarms
+ if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+ - name: Lint with flake8
+ run: |
+ # stop the build if there are Python syntax errors or undefined names
+ flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+ # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+ flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+ - name: Test with pytest
+ run: |
+ pytest
diff --git a/.github/workflows/python-package.yml b/.github/workflows/python-package.yml
new file mode 100644
index 00000000..31cdfb93
--- /dev/null
+++ b/.github/workflows/python-package.yml
@@ -0,0 +1,41 @@
+# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
+# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
+
+name: Python package
+
+on:
+ push:
+ branches: [ "master" ]
+ pull_request:
+ branches: [ "master" ]
+
+jobs:
+ build:
+
+ runs-on: ubuntu-latest
+ strategy:
+ fail-fast: false
+ matrix:
+ python-version: ["3.7", "3.9", "3.10", "3.11"]
+
+ steps:
+ - uses: actions/checkout@v4
+ - name: Set up Python ${{ matrix.python-version }}
+ uses: actions/setup-python@v5
+ with:
+ python-version: ${{ matrix.python-version }}
+ - name: Install dependencies
+ run: |
+ python -m pip install --upgrade pip
+ python -m pip install --upgrade swarms
+ python -m pip install flake8 pytest swarms
+ if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+ - name: Lint with flake8
+ run: |
+ # stop the build if there are Python syntax errors or undefined names
+ flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+ # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+ flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+ - name: Test with pytest
+ run: |
+ pytest
\ No newline at end of file
diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml
index bbeec600..889774f0 100644
--- a/.github/workflows/python-publish.yml
+++ b/.github/workflows/python-publish.yml
@@ -1,16 +1,27 @@
----
name: Upload Python Package
-on:
+
+on: # yamllint disable-line rule:truthy
release:
types: [published]
+
permissions:
contents: read
+
jobs:
deploy:
+
runs-on: ubuntu-latest
+
steps:
- uses: actions/checkout@v4
- - uses: ./.github/library/setup
+ - name: Set up Python
+ uses: actions/setup-python@v5
+ with:
+ python-version: '3.x'
+ - name: Install dependencies
+ run: |
+ python -m pip install --upgrade pip
+ pip install build
- name: Build package
run: python -m build
- name: Publish package
diff --git a/.github/workflows/stale.yml b/.github/workflows/stale.yml
index b07bd879..3aa6410b 100644
--- a/.github/workflows/stale.yml
+++ b/.github/workflows/stale.yml
@@ -1,49 +1,27 @@
----
# This workflow warns and then closes issues and PRs that have had no activity for a specified amount of time.
#
# You can adjust the behavior by modifying this file.
# For more information, see:
# https://github.com/actions/stale
name: Mark stale issues and pull requests
+
on:
schedule:
- # Scheduled to run at 1.30 UTC everyday
- - cron: "30 1 * * *"
+ - cron: '26 12 * * *'
+
jobs:
stale:
+
runs-on: ubuntu-latest
permissions:
issues: write
pull-requests: write
- steps:
- - uses: actions/stale@v9
- with:
- repo-token: ${{ secrets.GITHUB_TOKEN }}
- days-before-issue-stale: 14
- days-before-issue-close: 14
- stale-issue-label: "status:stale"
- close-issue-reason: not_planned
- any-of-labels: "status:awaiting user response,status:more data needed"
- stale-issue-message: >
- Marking this issue as stale since it has been open for 14 days with no activity. This issue
- will be closed if no further activity occurs.
- close-issue-message: >
- This issue was closed because it has been inactive for 28 days. Please post a new issue if
- you need further assistance. Thanks!
-
- days-before-pr-stale: 14
- days-before-pr-close: 14
- stale-pr-label: "status:stale"
- stale-pr-message: >
- Marking this pull request as stale since it has been open for 14 days with no activity. This
- PR will be closed if no further activity occurs.
-
- close-pr-message: >
- This pull request was closed because it has been inactive for 28 days. Please open a new
- pull request if you need furtherassistance. Thanks!
-
- # Label that can be assigned to issues to exclude them from being marked as stale
- exempt-issue-labels: "override-stale"
- # Label that can be assigned to PRs to exclude them from being marked as stale
- exempt-pr-labels: "override-stale"
+ steps:
+ - uses: actions/stale@v9
+ with:
+ repo-token: ${{ secrets.GITHUB_TOKEN }}
+ stale-issue-message: 'Stale issue message'
+ stale-pr-message: 'Stale pull request message'
+ stale-issue-label: 'no-issue-activity'
+ stale-pr-label: 'no-pr-activity'
\ No newline at end of file
diff --git a/.github/workflows/stale_isseue.yml b/.github/workflows/stale_isseue.yml
new file mode 100644
index 00000000..c5fe2648
--- /dev/null
+++ b/.github/workflows/stale_isseue.yml
@@ -0,0 +1,49 @@
+# This workflow warns and then closes issues and PRs that have had no activity for a specified amount of time.
+#
+# You can adjust the behavior by modifying this file.
+# For more information, see:
+# https://github.com/actions/stale
+name: Mark stale issues and pull requests
+
+on:
+ schedule:
+ # Scheduled to run at 1.30 UTC everyday
+ - cron: '30 1 * * *'
+
+jobs:
+ stale:
+
+ runs-on: ubuntu-latest
+ permissions:
+ issues: write
+ pull-requests: write
+
+ steps:
+ - uses: actions/stale@v9
+ with:
+ repo-token: ${{ secrets.GITHUB_TOKEN }}
+ days-before-issue-stale: 14
+ days-before-issue-close: 14
+ stale-issue-label: "status:stale"
+ close-issue-reason: not_planned
+ any-of-labels: "status:awaiting user response,status:more data needed"
+ stale-issue-message: >
+ Marking this issue as stale since it has been open for 14 days with no activity.
+ This issue will be closed if no further activity occurs.
+ close-issue-message: >
+ This issue was closed because it has been inactive for 28 days.
+ Please post a new issue if you need further assistance. Thanks!
+ days-before-pr-stale: 14
+ days-before-pr-close: 14
+ stale-pr-label: "status:stale"
+ stale-pr-message: >
+ Marking this pull request as stale since it has been open for 14 days with no activity.
+ This PR will be closed if no further activity occurs.
+ close-pr-message: >
+ This pull request was closed because it has been inactive for 28 days.
+ Please open a new pull request if you need further assistance. Thanks!
+ # Label that can be assigned to issues to exclude them from being marked as stale
+ exempt-issue-labels: 'override-stale'
+ # Label that can be assigned to PRs to exclude them from being marked as stale
+ exempt-pr-labels: "override-stale"
+
\ No newline at end of file
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 029245c9..baaadfc8 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -1,16 +1,110 @@
----
-name: build
-on: [push, pull_request]
+name: test
+
+on:
+ push:
+ branches: [master]
+ pull_request:
+ workflow_dispatch:
+
+env:
+ POETRY_VERSION: "1.4.2"
+
jobs:
+ test:
+ runs-on: ubuntu-latest
+ strategy:
+ matrix:
+ python-version:
+ - "3.8"
+ - "3.9"
+ - "3.10"
+ - "3.11"
+ test_type:
+ - "core"
+ - "extended"
+ steps:
+ - uses: actions/checkout@v4
+ - name: Set up Python ${{ matrix.python-version }}
+ uses: "snok/install-poetry@v1"
+ with:
+ python-version: ${{ matrix.python-version }}
+ poetry-version: "1.4.2"
+ cache-key: ${{ matrix.test_type }}
+ install-command:
+ if [ "${{ matrix.test_type }}" == "core" ]; then
+ echo "Running core tests, installing dependencies with poetry..."
+ poetry install
+ else
+ echo "Running extended tests, installing dependencies with poetry..."
+ poetry install -E extended_testing
+ fi
+ - name: Run ${{matrix.test_type}} tests
+ run: |
+ if [ "${{ matrix.test_type }}" == "core" ]; then
+ make test
+ else
+ make extended_tests
+ fi
+ shell: bash
+ name: Python ${{ matrix.python-version }} ${{ matrix.test_type }}
+ steps:
+ - uses: actions/checkout@v4
+ - name: Set up Python ${{ matrix.python-version }}
+ uses: "./.github/actions/poetry_setup"
+ with:
+ python-version: ${{ matrix.python-version }}
+ poetry-version: "1.4.2"
+ cache-key: ${{ matrix.test_type }}
+ install-command: |
+ if [ "${{ matrix.test_type }}" == "core" ]; then
+ echo "Running core tests, installing dependencies with poetry..."
+ poetry install
+ else
+ echo "Running extended tests, installing dependencies with poetry..."
+ poetry install -E extended_testing
+ fi
+ - name: Run ${{matrix.test_type}} tests
+ run: |
+ if [ "${{ matrix.test_type }}" == "core" ]; then
+ make test
+ else
+ make extended_tests
+ fi
+ shell: bash
build:
runs-on: ubuntu-latest
+ strategy:
+ matrix:
+ python-version:
+ - "3.8"
+ - "3.9"
+ - "3.10"
+ - "3.11"
+ test_type:
+ - "core"
+ - "extended"
+ name: Python ${{ matrix.python-version }} ${{ matrix.test_type }}
steps:
- uses: actions/checkout@v4
- - uses: ./.github/library/setup
- - name: Install dependencies
+ - name: Set up Python ${{ matrix.python-version }}
+ uses: "./.github/actions/poetry_setup"
+ with:
+ python-version: ${{ matrix.python-version }}
+ poetry-version: "1.4.2"
+ cache-key: ${{ matrix.test_type }}
+ install-command: |
+ if [ "${{ matrix.test_type }}" == "core" ]; then
+ echo "Running core tests, installing dependencies with poetry..."
+ poetry install
+ else
+ echo "Running extended tests, installing dependencies with poetry..."
+ poetry install -E extended_testing
+ fi
+ - name: Run ${{matrix.test_type}} tests
run: |
- pip install pytest
- - name: Run Python unit tests
- run: pytest
- - name: Verify that the Docker image for the action builds
- run: docker build . --file Dockerfile
+ if [ "${{ matrix.test_type }}" == "core" ]; then
+ make test
+ else
+ make extended_tests
+ fi
+ shell: bash
\ No newline at end of file
diff --git a/.github/workflows/test_pr.yml b/.github/workflows/test_pr.yml
index f8d4a8ea..8da3bd0a 100644
--- a/.github/workflows/test_pr.yml
+++ b/.github/workflows/test_pr.yml
@@ -1,28 +1,81 @@
----
# Notebook-related checks
+
name: Presubmit checks
-on: [push, pull_request]
+
+on:
+ # Relevant PRs
+ pull_request:
+ paths:
+ - "swarms/**"
+ - "tests/**"
+ # Allow manual runs
+ workflow_dispatch:
+
jobs:
- # Disabled until google/pytype/issues/151 is resolved
- # pytype3_10:
- # name: pytype 3.10
- # runs-on: ubuntu-latest
- # steps:
- # - uses: actions/checkout@v4
- # - uses: ./.github/library/setup
- # - name: Install pytype
- # run: pip install -q pytype
- # - name: Run pytype
- # run: pytype ./swarms
+ test3_11:
+ name: Test Py3.11
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+ - uses: actions/setup-python@v5
+ with:
+ python-version: '3.11'
+ - name: Run tests
+ run: |
+ python --version
+ pip install .[dev]
+ python -m pytest
+ test3_10:
+ name: Test Py3.10
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+ - uses: actions/setup-python@v5
+ with:
+ python-version: '3.10'
+ - name: Run tests
+ run: |
+ python --version
+ pip install -q .[dev]
+ python -m pytest
+ test3_9:
+ name: Test Py3.9
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+ - uses: actions/setup-python@v5
+ with:
+ python-version: '3.9'
+ - name: Run tests
+ run: |
+ python --version
+ pip install .[dev]
+ python -m pytest
+ pytype3_10:
+ name: pytype 3.10
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+ - uses: actions/setup-python@v5
+ with:
+ python-version: '3.10'
+ - name: Run pytype
+ run: |
+ python --version
+ pip install .[dev]
+ pip install -q gspread ipython
+ pytype
format:
name: Check format with black
runs-on: ubuntu-latest
steps:
- - uses: actions/checkout@v4
- - uses: ./.github/library/setup
- - name: Check format
- run: |
- python --version
- pip install -q .
- pip install -q black
- black . --check
+ - uses: actions/checkout@v4
+ - uses: actions/setup-python@v5
+ with:
+ python-version: '3.11'
+ - name: Check format
+ run: |
+ python --version
+ pip install -q .
+ pip install -q black
+ black . --check
diff --git a/.github/workflows/testing.yml b/.github/workflows/testing.yml
new file mode 100644
index 00000000..c858b5fe
--- /dev/null
+++ b/.github/workflows/testing.yml
@@ -0,0 +1,27 @@
+name: Unit Tests
+
+on:
+ push:
+ branches:
+ - master
+
+jobs:
+ test:
+ runs-on: ubuntu-latest
+
+ steps:
+ - name: Checkout code
+ uses: actions/checkout@v4
+
+ - name: Set up Python
+ uses: actions/setup-python@v5
+ with:
+ python-version: "3.10"
+
+ - name: Install dependencies
+ run: |
+ pip install -r requirements.txt
+ pip install pytest
+
+ - name: Run unit tests
+ run: pytest
diff --git a/.github/workflows/unit-test.yml b/.github/workflows/unit-test.yml
new file mode 100644
index 00000000..a858dae4
--- /dev/null
+++ b/.github/workflows/unit-test.yml
@@ -0,0 +1,36 @@
+name: build
+
+on:
+ push:
+ branches: [ main ]
+ pull_request:
+ branches: [ main ]
+
+jobs:
+
+ build:
+
+ runs-on: ubuntu-latest
+
+ steps:
+ - uses: actions/checkout@v4
+
+ - name: Setup Python
+ uses: actions/setup-python@v5
+ with:
+ python-version: '3.9'
+
+ - name: Install dependencies
+ run: |
+ pip install -r requirements.txt
+ pip install pytest
+ pip install swarms
+
+ - name: Run Python unit tests
+ run: pytest
+
+ - name: Verify that the Docker image for the action builds
+ run: docker build . --file Dockerfile
+
+ - name: Verify integration test results
+ run: pytest
diff --git a/.github/workflows/welcome.yml b/.github/workflows/welcome.yml
index 342e07f9..3dcd5bb1 100644
--- a/.github/workflows/welcome.yml
+++ b/.github/workflows/welcome.yml
@@ -1,10 +1,11 @@
----
name: Welcome WorkAgent
+
on:
issues:
types: [opened]
pull_request_target:
types: [opened]
+
jobs:
build:
name: đ Welcome
@@ -14,10 +15,5 @@ jobs:
- uses: actions/first-interaction@v1.3.0
with:
repo-token: ${{ secrets.GITHUB_TOKEN }}
- issue-message: >
- Hello there, thank you for opening an Issue ! đđģ The team was notified and they will get back
- to you asap.
-
- pr-message: >-
- Hello there, thank you for opening an PR ! đđģ The team was notified and they will get back
- to you asap.
+ issue-message: "Hello there, thank you for opening an Issue ! đđģ The team was notified and they will get back to you asap."
+ pr-message: "Hello there, thank you for opening an PR ! đđģ The team was notified and they will get back to you asap."
\ No newline at end of file
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 4db17393..0c936705 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,19 +1,18 @@
----
repos:
- repo: https://github.com/ambv/black
rev: 22.3.0
hooks:
- - id: black
+ - id: black
- repo: https://github.com/charliermarsh/ruff-pre-commit
rev: 'v0.0.255'
hooks:
- id: ruff
- args: ['----unsafe-fixes']
+ args: [----unsafe-fixes]
- repo: https://github.com/nbQA-dev/nbQA
rev: 1.6.3
hooks:
- - id: nbqa-black
- additional_dependencies: [ipython==8.12, black]
- - id: nbqa-ruff
- args: ["--ignore=I001"]
- additional_dependencies: [ipython==8.12, ruff]
+ - id: nbqa-black
+ additional_dependencies: [ipython==8.12, black]
+ - id: nbqa-ruff
+ args: ["--ignore=I001"]
+ additional_dependencies: [ipython==8.12, ruff]
\ No newline at end of file
diff --git a/.readthedocs.yml b/.readthedocs.yml
index 26919b99..e3e74fad 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -1,11 +1,13 @@
----
version: 2
+
build:
os: ubuntu-22.04
tools:
python: "3.11"
+
mkdocs:
configuration: mkdocs.yml
+
python:
- install:
- - requirements: requirements.txt
+ install:
+ - requirements: requirements.txt
diff --git a/.yamlfmt b/.yamlfmt
deleted file mode 100644
index 00827189..00000000
--- a/.yamlfmt
+++ /dev/null
@@ -1,6 +0,0 @@
----
-formatter:
- type: basic
- include_document_start: true
- max_line_length: 100
- pad_line_comments: 2
diff --git a/.yamllint b/.yamllint
deleted file mode 100644
index cdb96def..00000000
--- a/.yamllint
+++ /dev/null
@@ -1,14 +0,0 @@
----
-extends: default
-
-rules:
- line-length:
- max: 127
- truthy:
- # GitHub Actions
- check-keys: false
-
-ignore:
- # GH Actions
- - lib
- - .venv
diff --git a/docs/docker_setup.md b/docs/docker_setup.md
index fed664ab..409f9119 100644
--- a/docs/docker_setup.md
+++ b/docs/docker_setup.md
@@ -30,7 +30,6 @@ This guide is intended for developers and contributors to the `swarms` project w
## Prerequisites
Before you begin, ensure you have:
-
- A GitHub account
- Git installed on your machine
- Basic command-line proficiency
@@ -116,13 +115,14 @@ docker run -it --rm swarms-dev
- Introduce Docker Compose and its role in simplifying multi-container setups.
- Create a `docker-compose.yml` file for the `swarms` project.
+
## Dockerfile
Creating a Dockerfile for deploying the `swarms` framework to the cloud involves setting up the necessary environment to run your Python application, ensuring all dependencies are installed, and configuring the container to execute the desired tasks. Here's an example Dockerfile that sets up such an environment:
```Dockerfile
# Use an official Python runtime as a parent image
-FROM python:3.10-slim
+FROM python:3.9-slim
# Set environment variables
ENV PYTHONDONTWRITEBYTECODE 1
@@ -194,4 +194,4 @@ For deploying to the cloud, you'll need to push your Docker image to a container
- Setting up networking, storage, and other cloud resources.
- Monitoring, logging, and potentially scaling your containers.
-Remember to secure sensitive data, use tagged releases for your images, and follow best practices for operating in the cloud.
+Remember to secure sensitive data, use tagged releases for your images, and follow best practices for operating in the cloud.
\ No newline at end of file
diff --git a/docs/examples/revgpt.md b/docs/examples/revgpt.md
index 5571720d..69107b40 100644
--- a/docs/examples/revgpt.md
+++ b/docs/examples/revgpt.md
@@ -19,7 +19,7 @@ python -m pip install --upgrade revChatGPT
```
**Supported Python Versions:**
-- Minimum: Python3.10
+- Minimum: Python3.9
- Recommended: Python3.11+
### Initial Setup and Configuration
diff --git a/docs/index.md b/docs/index.md
index c4ec3e9f..74e39543 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -16,7 +16,7 @@ Swarms provides you with all the building blocks you need to build reliable, pro
## đģ Install
You can install `swarms` with pip in a
-[**Python>=3.10**](https://www.python.org/) environment.
+[**Python>=3.8**](https://www.python.org/) environment.
!!! example "pip install (recommended)"
diff --git a/example.py b/example.py
index e4f2e799..bebdb11a 100644
--- a/example.py
+++ b/example.py
@@ -1,6 +1,6 @@
from swarms import Agent, OpenAIChat
-# Initialize the workflow
+## Initialize the workflow
agent = Agent(
llm=OpenAIChat(),
max_loops=1,
diff --git a/mkdocs.yml b/mkdocs.yml
index 62fbca90..385d8ad1 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -1,4 +1,3 @@
----
site_name: Swarms Docs
plugins:
- glightbox
@@ -17,15 +16,15 @@ extra:
- icon: fontawesome/brands/python
link: https://pypi.org/project/Swarms/
theme:
- name: material
- custom_dir: docs/overrides
- logo: assets/img/SwarmsLogoIcon.png
- palette:
- # Palette toggle for light mode
+ name: material
+ custom_dir: docs/overrides
+ logo: assets/img/SwarmsLogoIcon.png
+ palette:
+ # Palette toggle for light mode
- scheme: default
primary: black
toggle:
- icon: material/brightness-7
+ icon: material/brightness-7
name: Switch to dark mode
# Palette toggle for dark mode
- scheme: slate
@@ -33,14 +32,14 @@ theme:
toggle:
icon: material/brightness-4
name: Switch to light mode
- features:
- - content.code.copy
- - content.code.annotate
- - navigation.tabs
- - navigation.sections
- - navigation.expand
- - navigation.top
- - announce.dismiss
+ features:
+ - content.code.copy
+ - content.code.annotate
+ - navigation.tabs
+ - navigation.sections
+ - navigation.expand
+ - navigation.top
+ - announce.dismiss
markdown_extensions:
- pymdownx.highlight:
anchor_linenums: true
@@ -56,126 +55,127 @@ markdown_extensions:
- def_list
- footnotes
nav:
- - Home:
- - Overview: "index.md"
- - Contributing: "contributing.md"
- - Swarms:
- - Overview: "swarms/index.md"
- - swarms.agents:
- - Agents:
- - WorkerAgent: "swarms/agents/workeragent.md"
- - OmniAgent: "swarms/agents/omni_agent.md"
- - AbstractAgent: "swarms/agents/abstractagent.md"
- - ToolAgent: "swarms/agents/toolagent.md"
- - swarms.models:
- - Language:
- - BaseLLM: "swarms/models/base_llm.md"
- - Overview: "swarms/models/index.md"
- - HuggingFaceLLM: "swarms/models/huggingface.md"
- - Anthropic: "swarms/models/anthropic.md"
- - OpenAI: "swarms/models/openai.md"
- - Zephyr: "swarms/models/zephyr.md"
- - BioGPT: "swarms/models/biogpt.md"
- - vLLM: "swarms/models/vllm.md"
- - MPT7B: "swarms/models/mpt.md"
- - Mistral: "swarms/models/mistral.md"
- - Mixtral: "swarms/models/mixtral.md"
- - MultiModal:
- - BaseMultiModalModel: "swarms/models/base_multimodal_model.md"
- - Fuyu: "swarms/models/fuyu.md"
- - Vilt: "swarms/models/vilt.md"
- - Idefics: "swarms/models/idefics.md"
- - BingChat: "swarms/models/bingchat.md"
- - Kosmos: "swarms/models/kosmos.md"
- - Nougat: "swarms/models/nougat.md"
- - Dalle3: "swarms/models/dalle3.md"
- - GPT4V: "swarms/models/gpt4v.md"
- - LayoutLMDocumentQA: "swarms/models/layoutlm_document_qa.md"
- - DistilWhisperModel: "swarms/models/distilled_whisperx.md"
- - ElevenLabsText2SpeechTool: "swarms/models/elevenlabs.md"
- - OpenAITTS: "swarms/models/openai_tts.md"
- - Gemini: "swarms/models/gemini.md"
- - ZeroscopeTTV: "swarms/models/zeroscope.md"
- - swarms.structs:
- - Foundational Structures:
- - agent: "swarms/structs/agent.md"
- - basestructure: "swarms/structs/basestructure.md"
- - artifactupload: "swarms/structs/artifactupload.md"
- - taskinput: "swarms/structs/taskinput.md"
- - stepinput: "swarms/structs/stepinput.md"
- - artifact: "swarms/structs/artifact.md"
- - task: "swarms/structs/task.md"
- - Task Queue Base: "swarms/structs/taskqueuebase.md"
- - Workflows:
- - recursiveworkflow: "swarms/structs/recursiveworkflow.md"
- - concurrentworkflow: "swarms/structs/concurrentworkflow.md"
- - nonlinearworkflow: "swarms/structs/nonlinearworkflow.md"
- - sequential_workflow: "swarms/structs/sequential_workflow.md"
- - workflow: "swarms/structs/workflow.md"
- - baseworkflow: "swarms/structs/baseworkflow.md"
- - Multi Agent Architectures:
- - conversation: "swarms/structs/conversation.md"
- - groupchat: "swarms/structs/groupchat.md"
- - swarmnetwork: "swarms/structs/swarmnetwork.md"
- - groupchatmanager: "swarms/structs/groupchatmanager.md"
- - MajorityVoting: "swarms/structs/majorityvoting.md"
- - swarms.tokenizers:
- - Language:
- - Tokenizer: "swarms/tokenizers/tokenizer.md"
- - CohereTokenizer: "swarms/tokenizers/coheretokenizer.md"
- - BaseTokenizer: "swarms/tokenizers/basetokenizer.md"
- - HuggingfaceTokenizer: "swarms/tokenizers/huggingfacetokenizer.md"
- - SentencepieceTokenizer: "swarms/tokenizers/sentencepiecetokenizer.md"
- - AnthropicTokenizer: "swarms/tokenizers/anthropictokenizer.md"
- - OpenaiTokenizer: "swarms/tokenizers/openaitokenizer.md"
- - swarms.memory:
- - Vector Databases:
- - Weaviate: "swarms/memory/weaviate.md"
- - PineconeDB: "swarms/memory/pinecone.md"
- - PGVectorStore: "swarms/memory/pg.md"
- - ShortTermMemory: "swarms/memory/short_term_memory.md"
- - swarms.utils:
- - Misc:
- - pdf_to_text: "swarms/utils/pdf_to_text.md"
- - load_model_torch: "swarms/utils/load_model_torch.md"
- - metrics_decorator: "swarms/utils/metrics_decorator.md"
- - prep_torch_inference: "swarms/utils/prep_torch_inference.md"
- - find_image_path: "swarms/utils/find_image_path.md"
- - print_class_parameters: "swarms/utils/print_class_parameters.md"
- - extract_code_from_markdown: "swarms/utils/extract_code_from_markdown.md"
- - check_device: "swarms/utils/check_device.md"
- - display_markdown_message: "swarms/utils/display_markdown_message.md"
- - phoenix_tracer: "swarms/utils/phoenix_tracer.md"
- - limit_tokens_from_string: "swarms/utils/limit_tokens_from_string.md"
- - math_eval: "swarms/utils/math_eval.md"
- - Guides:
- - Overview: "examples/index.md"
- - Agents:
- - Agent: "examples/flow.md"
- - OmniAgent: "examples/omni_agent.md"
- - Swarms:
- - SequentialWorkflow: "examples/reliable_autonomous_agents.md"
- - 2O+ Autonomous Agent Blogs: "examples/ideas.md"
- - Applications:
- - CustomerSupport:
- - Overview: "applications/customer_support.md"
- - Marketing:
- - Overview: "applications/marketing_agencies.md"
- - Corporate:
- - FAQ: "corporate/faq.md"
- - Purpose: "corporate/purpose.md"
- - Roadmap: "corporate/roadmap.md"
- - Weaknesses: "corporate/failures.md"
- - Design: "corporate/design.md"
- - Flywheel: "corporate/flywheel.md"
- - Bounties: "corporate/bounties.md"
- - Metric: "corporate/metric.md"
- - Distribution: "corporate/distribution"
- - Research: "corporate/research.md"
- - Demos: "corporate/demos.md"
- - Architecture: "corporate/architecture.md"
- - Checklist: "corporate/checklist.md"
- - Hiring: "corporate/hiring.md"
- - SwarmCloud: "corporate/swarm_cloud.md"
- - SwarmMemo: "corporate/swarm_memo.md"
- - Data Room: "corporate/data_room.md"
+- Home:
+ - Overview: "index.md"
+ - Contributing: "contributing.md"
+ - Limitations of Individual Agents: "limits_of_individual_agents.md"
+- Swarms:
+ - Overview: "swarms/index.md"
+ - swarms.agents:
+ - Agents:
+ - WorkerAgent: "swarms/agents/workeragent.md"
+ - OmniAgent: "swarms/agents/omni_agent.md"
+ - AbstractAgent: "swarms/agents/abstractagent.md"
+ - ToolAgent: "swarms/agents/toolagent.md"
+ - swarms.models:
+ - Language:
+ - BaseLLM: "swarms/models/base_llm.md"
+ - Overview: "swarms/models/index.md"
+ - HuggingFaceLLM: "swarms/models/huggingface.md"
+ - Anthropic: "swarms/models/anthropic.md"
+ - OpenAI: "swarms/models/openai.md"
+ - Zephyr: "swarms/models/zephyr.md"
+ - BioGPT: "swarms/models/biogpt.md"
+ - vLLM: "swarms/models/vllm.md"
+ - MPT7B: "swarms/models/mpt.md"
+ - Mistral: "swarms/models/mistral.md"
+ - Mixtral: "swarms/models/mixtral.md"
+ - MultiModal:
+ - BaseMultiModalModel: "swarms/models/base_multimodal_model.md"
+ - Fuyu: "swarms/models/fuyu.md"
+ - Vilt: "swarms/models/vilt.md"
+ - Idefics: "swarms/models/idefics.md"
+ - BingChat: "swarms/models/bingchat.md"
+ - Kosmos: "swarms/models/kosmos.md"
+ - Nougat: "swarms/models/nougat.md"
+ - Dalle3: "swarms/models/dalle3.md"
+ - GPT4V: "swarms/models/gpt4v.md"
+ - LayoutLMDocumentQA: "swarms/models/layoutlm_document_qa.md"
+ - DistilWhisperModel: "swarms/models/distilled_whisperx.md"
+ - ElevenLabsText2SpeechTool: "swarms/models/elevenlabs.md"
+ - OpenAITTS: "swarms/models/openai_tts.md"
+ - Gemini: "swarms/models/gemini.md"
+ - ZeroscopeTTV: "swarms/models/zeroscope.md"
+ - swarms.structs:
+ - Foundational Structures:
+ - agent: "swarms/structs/agent.md"
+ - basestructure: "swarms/structs/basestructure.md"
+ - artifactupload: "swarms/structs/artifactupload.md"
+ - taskinput: "swarms/structs/taskinput.md"
+ - stepinput: "swarms/structs/stepinput.md"
+ - artifact: "swarms/structs/artifact.md"
+ - task: "swarms/structs/task.md"
+ - Task Queue Base: "swarms/structs/taskqueuebase.md"
+ - Workflows:
+ - recursiveworkflow: "swarms/structs/recursiveworkflow.md"
+ - concurrentworkflow: "swarms/structs/concurrentworkflow.md"
+ - nonlinearworkflow: "swarms/structs/nonlinearworkflow.md"
+ - sequential_workflow: "swarms/structs/sequential_workflow.md"
+ - workflow: "swarms/structs/workflow.md"
+ - baseworkflow: "swarms/structs/baseworkflow.md"
+ - Multi Agent Architectures:
+ - conversation: "swarms/structs/conversation.md"
+ - groupchat: "swarms/structs/groupchat.md"
+ - swarmnetwork: "swarms/structs/swarmnetwork.md"
+ - groupchatmanager: "swarms/structs/groupchatmanager.md"
+ - MajorityVoting: "swarms/structs/majorityvoting.md"
+ - swarms.tokenizers:
+ - Language:
+ - Tokenizer: "swarms/tokenizers/tokenizer.md"
+ - CohereTokenizer: "swarms/tokenizers/coheretokenizer.md"
+ - BaseTokenizer: "swarms/tokenizers/basetokenizer.md"
+ - HuggingfaceTokenizer: "swarms/tokenizers/huggingfacetokenizer.md"
+ - SentencepieceTokenizer: "swarms/tokenizers/sentencepiecetokenizer.md"
+ - AnthropicTokenizer: "swarms/tokenizers/anthropictokenizer.md"
+ - OpenaiTokenizer: "swarms/tokenizers/openaitokenizer.md"
+ - swarms.memory:
+ - Vector Databases:
+ - Weaviate: "swarms/memory/weaviate.md"
+ - PineconeDB: "swarms/memory/pinecone.md"
+ - PGVectorStore: "swarms/memory/pg.md"
+ - ShortTermMemory: "swarms/memory/short_term_memory.md"
+ - swarms.utils:
+ - Misc:
+ - pdf_to_text: "swarms/utils/pdf_to_text.md"
+ - load_model_torch: "swarms/utils/load_model_torch.md"
+ - metrics_decorator: "swarms/utils/metrics_decorator.md"
+ - prep_torch_inference: "swarms/utils/prep_torch_inference.md"
+ - find_image_path: "swarms/utils/find_image_path.md"
+ - print_class_parameters: "swarms/utils/print_class_parameters.md"
+ - extract_code_from_markdown: "swarms/utils/extract_code_from_markdown.md"
+ - check_device: "swarms/utils/check_device.md"
+ - display_markdown_message: "swarms/utils/display_markdown_message.md"
+ - phoenix_tracer: "swarms/utils/phoenix_tracer.md"
+ - limit_tokens_from_string: "swarms/utils/limit_tokens_from_string.md"
+ - math_eval: "swarms/utils/math_eval.md"
+- Guides:
+ - Overview: "examples/index.md"
+ - Agents:
+ - Agent: "examples/flow.md"
+ - OmniAgent: "examples/omni_agent.md"
+ - Swarms:
+ - SequentialWorkflow: "examples/reliable_autonomous_agents.md"
+ - 2O+ Autonomous Agent Blogs: "examples/ideas.md"
+- Applications:
+ - CustomerSupport:
+ - Overview: "applications/customer_support.md"
+ - Marketing:
+ - Overview: "applications/marketing_agencies.md"
+- Corporate:
+ - FAQ: "corporate/faq.md"
+ - Purpose: "corporate/purpose.md"
+ - Roadmap: "corporate/roadmap.md"
+ - Weaknesses: "corporate/failures.md"
+ - Design: "corporate/design.md"
+ - Flywheel: "corporate/flywheel.md"
+ - Bounties: "corporate/bounties.md"
+ - Metric: "corporate/metric.md"
+ - Distribution: "corporate/distribution"
+ - Research: "corporate/research.md"
+ - Demos: "corporate/demos.md"
+ - Architecture: "corporate/architecture.md"
+ - Checklist: "corporate/checklist.md"
+ - Hiring: "corporate/hiring.md"
+ - SwarmCloud: "corporate/swarm_cloud.md"
+ - SwarmMemo: "corporate/swarm_memo.md"
+ - Data Room: "corporate/data_room.md"
diff --git a/playground/utils/pandas_to_str.py b/playground/utils/pandas_to_str.py
index 151436f6..fccf84eb 100644
--- a/playground/utils/pandas_to_str.py
+++ b/playground/utils/pandas_to_str.py
@@ -2,12 +2,10 @@ import pandas as pd
from swarms import dataframe_to_text
# # Example usage:
-df = pd.DataFrame(
- {
- "A": [1, 2, 3],
- "B": [4, 5, 6],
- "C": [7, 8, 9],
- }
-)
+df = pd.DataFrame({
+ 'A': [1, 2, 3],
+ 'B': [4, 5, 6],
+ 'C': [7, 8, 9],
+})
print(dataframe_to_text(df))
diff --git a/poetry.lock b/poetry.lock
deleted file mode 100644
index b02c7231..00000000
--- a/poetry.lock
+++ /dev/null
@@ -1,6085 +0,0 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
-
-[[package]]
-name = "absl-py"
-version = "2.1.0"
-description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
-optional = false
-python-versions = ">=3.7"
-files = [
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-]
-
-[[package]]
-name = "accelerate"
-version = "0.27.2"
-description = "Accelerate"
-optional = false
-python-versions = ">=3.8.0"
-files = [
- {file = "accelerate-0.27.2-py3-none-any.whl", hash = "sha256:a818dd27b9ba24e9eb5030d1b285cf4cdd1b41bbfa675fb4eb2477ddfc097074"},
- {file = "accelerate-0.27.2.tar.gz", hash = "sha256:cc715fe9a8bc7a286259bfb6d65fb78363badd3371e7cbda4e4a4ef34a0010aa"},
-]
-
-[package.dependencies]
-huggingface-hub = "*"
-numpy = ">=1.17"
-packaging = ">=20.0"
-psutil = "*"
-pyyaml = "*"
-safetensors = ">=0.3.1"
-torch = ">=1.10.0"
-
-[package.extras]
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-quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.1.15,<0.2.0)"]
-rich = ["rich"]
-sagemaker = ["sagemaker"]
-test-dev = ["bitsandbytes", "datasets", "deepspeed (<0.13.0)", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
-test-prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"]
-test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
-testing = ["bitsandbytes", "datasets", "deepspeed (<0.13.0)", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
-
-[[package]]
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-]
-
-[package.dependencies]
-idna = ">=2.0"
-multidict = ">=4.0"
-
-[[package]]
-name = "zipp"
-version = "3.17.0"
-description = "Backport of pathlib-compatible object wrapper for zip files"
-optional = false
-python-versions = ">=3.8"
-files = [
- {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
- {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
-]
-
-[package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
-
-[metadata]
-lock-version = "2.0"
-python-versions = ">=3.10,<3.12"
-content-hash = "77949326ebd57425f0f6dcab3b6d26c95bd657eb61be7bd50dac144d479ee9f4"
diff --git a/pyproject.toml b/pyproject.toml
index 1d560a02..03304a3b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -10,37 +10,30 @@ description = "Swarms - Pytorch"
license = "MIT"
authors = ["Kye Gomez "]
homepage = "https://github.com/kyegomez/swarms"
-documentation = "https://swarms.apac.ai"
-readme = "README.md"
+documentation = "https://swarms.apac.ai"
+readme = "README.md" # Assuming you have a README.md
repository = "https://github.com/kyegomez/swarms"
-keywords = [
- "artificial intelligence",
- "deep learning",
- "optimizers",
- "Prompt Engineering",
- "swarms",
- "agents",
-]
+keywords = ["artificial intelligence", "deep learning", "optimizers", "Prompt Engineering", "swarms", "agents"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"License :: OSI Approved :: MIT License",
- "Programming Language :: Python :: 3.10",
+ "Programming Language :: Python :: 3.10"
]
[tool.poetry.dependencies]
-python = ">=3.10,<3.12"
+python = "^3.6.1"
torch = "2.1.1"
-transformers = "4.38.1"
-openai = "1.3.0"
+transformers = "4.37.1"
+openai = "0.28.0"
langchain = "0.0.333"
asyncio = "3.4.3"
einops = "0.7.0"
google-generativeai = "0.3.1"
langchain-experimental = "0.0.10"
-tensorflow = "^2.15.0"
+tensorflow = "*"
weaviate-client = "3.25.3"
opencv-python-headless = "4.8.1.78"
faiss-cpu = "1.7.4"
@@ -62,7 +55,7 @@ cohere = "4.24"
huggingface-hub = "*"
pydantic = "1.10.12"
tenacity = "8.2.2"
-Pillow = "10.2.0"
+Pillow = "9.4.0"
chromadb = "*"
termcolor = "2.2.0"
black = "23.3.0"
@@ -93,12 +86,9 @@ types-chardet = "^5.0.4.6"
mypy-protobuf = "^3.0.0"
-[tool.poetry.group.test.dependencies]
-pytest = "^8.0.2"
-
[tool.autopep8]
max_line_length = 70
-ignore = "E501,W6" # or ["E501", "W6"]
+ignore = "E501,W6" # or ["E501", "W6"]
in-place = true
recursive = true
aggressive = 3
@@ -113,4 +103,4 @@ preview = true
[tool.poetry.scripts]
-swarms = 'swarms.cli._cli:main'
+swarms = 'swarms.cli._cli:main'
\ No newline at end of file
diff --git a/pytest.ini b/pytest.ini
deleted file mode 100644
index de19c9f0..00000000
--- a/pytest.ini
+++ /dev/null
@@ -1,2 +0,0 @@
-[pytest]
-testpaths = tests
\ No newline at end of file
diff --git a/ruff.toml b/ruff.toml
deleted file mode 100644
index 12322827..00000000
--- a/ruff.toml
+++ /dev/null
@@ -1,10 +0,0 @@
-exclude = ["./playground", "./tests", "./scripts"]
-line-length = 127
-
-[lint]
-ignore = ["E203"]
-select = ["E", "F", "W"]
-
-[lint.per-file-ignores]
-"./swarms/prompts/**.py" = ["E501", "W291", "W293"]
-"./swarms/__init__.py" = ["F401"]
diff --git a/swarms/artifacts/text_artifact.py b/swarms/artifacts/text_artifact.py
index 844765ad..5fdfe4fa 100644
--- a/swarms/artifacts/text_artifact.py
+++ b/swarms/artifacts/text_artifact.py
@@ -23,12 +23,9 @@ class TextArtifact(BaseArtifact):
Methods:
__add__(self, other: BaseArtifact) -> TextArtifact: Concatenates the text value of the artifact with another artifact.
__bool__(self) -> bool: Checks if the text value of the artifact is non-empty.
- generate_embedding(self, driver: BaseEmbeddingModel) -> Optional[list[float]]:
- Generates the embedding of the text artifact using a given embedding model.
- token_count(self, tokenizer: BaseTokenizer) -> int:
- Counts the number of tokens in the text artifact using a given tokenizer.
- to_bytes(self) -> bytes:
- Converts the text value of the artifact to bytes using the specified encoding and error handler.
+ generate_embedding(self, driver: BaseEmbeddingModel) -> Optional[list[float]]: Generates the embedding of the text artifact using a given embedding model.
+ token_count(self, tokenizer: BaseTokenizer) -> int: Counts the number of tokens in the text artifact using a given tokenizer.
+ to_bytes(self) -> bytes: Converts the text value of the artifact to bytes using the specified encoding and error handler.
"""
value: str
diff --git a/swarms/memory/dict_internal_memory.py b/swarms/memory/dict_internal_memory.py
index 6829d464..daba0b0d 100644
--- a/swarms/memory/dict_internal_memory.py
+++ b/swarms/memory/dict_internal_memory.py
@@ -7,8 +7,7 @@ class InternalMemoryBase(ABC):
"""Abstract base class for internal memory of agents in the swarm."""
def __init__(self, n_entries):
- """Initialize the internal memory.
- In the current architecture the memory always consists of a set of soltuions or evaluations.
+ """Initialize the internal memory. In the current architecture the memory always consists of a set of soltuions or evaluations.
During the operation, the agent should retrivie best solutions from it's internal memory based on the score.
Moreover, the project is designed around LLMs for the proof of concepts, so we treat all entry content as a string.
@@ -29,8 +28,7 @@ class InternalMemoryBase(ABC):
class DictInternalMemory(InternalMemoryBase):
def __init__(self, n_entries: int):
"""
- Initialize the internal memory.
- In the current architecture the memory always consists of a set of solutions or evaluations.
+ Initialize the internal memory. In the current architecture the memory always consists of a set of solutions or evaluations.
Simple key-value store for now.
Args:
diff --git a/swarms/memory/dict_shared_memory.py b/swarms/memory/dict_shared_memory.py
index f00158af..f81e2fd4 100644
--- a/swarms/memory/dict_shared_memory.py
+++ b/swarms/memory/dict_shared_memory.py
@@ -16,15 +16,13 @@ class DictSharedMemory:
Methods:
__init__(self, file_loc: str = None) -> None: Initializes the shared memory.
- add_entry(self, score: float, agent_id: str, agent_cycle: int, entry: Any) -> bool:
- Adds an entry to the internal memory.
+ add_entry(self, score: float, agent_id: str, agent_cycle: int, entry: Any) -> bool: Adds an entry to the internal memory.
get_top_n(self, n: int) -> None: Gets the top n entries from the internal memory.
write_to_file(self, data: Dict[str, Dict[str, Any]]) -> bool: Writes the internal memory to a file.
"""
def __init__(self, file_loc: str = None) -> None:
- """Initialize the shared memory.
- In the current architecture the memory always consists of a set of soltuions or evaluations.
+ """Initialize the shared memory. In the current architecture the memory always consists of a set of soltuions or evaluations.
Moreover, the project is designed around LLMs for the proof of concepts, so we treat all entry content as a string.
"""
if file_loc is not None:
diff --git a/swarms/memory/lanchain_chroma.py b/swarms/memory/lanchain_chroma.py
index 722a23b6..95a2e9e3 100644
--- a/swarms/memory/lanchain_chroma.py
+++ b/swarms/memory/lanchain_chroma.py
@@ -153,8 +153,7 @@ class LangchainChromaVectorMemory:
query (str): The query to search for.
k (int): The number of results to return.
type (str): The type of search to perform: "cos" or "mmr".
- distance_threshold (float):
- The similarity threshold to use for the search. Results with distance > similarity_threshold will be dropped.
+ distance_threshold (float): The similarity threshold to use for the search. Results with distance > similarity_threshold will be dropped.
Returns:
list[str]: A list of the top k results.
diff --git a/swarms/memory/pinecone.py b/swarms/memory/pinecone.py
index e98dc55a..d33cb9cd 100644
--- a/swarms/memory/pinecone.py
+++ b/swarms/memory/pinecone.py
@@ -24,31 +24,13 @@ class PineconeDB(AbstractVectorDatabase):
index (pinecone.Index, optional): The Pinecone index to use. Defaults to None.
Methods:
- upsert_vector(
- vector: list[float],
- vector_id: Optional[str] = None,
- namespace: Optional[str] = None,
- meta: Optional[dict] = None,
- **kwargs
- ) -> str:
+ upsert_vector(vector: list[float], vector_id: Optional[str] = None, namespace: Optional[str] = None, meta: Optional[dict] = None, **kwargs) -> str:
Upserts a vector into the index.
- load_entry(
- vector_id: str,
- namespace: Optional[str] = None
- ) -> Optional[BaseVectorStore.Entry]:
+ load_entry(vector_id: str, namespace: Optional[str] = None) -> Optional[BaseVectorStore.Entry]:
Loads a single vector from the index.
- load_entries(
- namespace: Optional[str] = None
- ) -> list[BaseVectorStore.Entry]:
+ load_entries(namespace: Optional[str] = None) -> list[BaseVectorStore.Entry]:
Loads all vectors from the index.
- query(
- query: str,
- count: Optional[int] = None,
- namespace: Optional[str] = None,
- include_vectors: bool = False,
- include_metadata=True,
- **kwargs
- ) -> list[BaseVectorStore.QueryResult]:
+ query(query: str, count: Optional[int] = None, namespace: Optional[str] = None, include_vectors: bool = False, include_metadata=True, **kwargs) -> list[BaseVectorStore.QueryResult]:
Queries the index for vectors similar to the given query string.
create_index(name: str, **kwargs) -> None:
Creates a new index.
diff --git a/swarms/models/__init__.py b/swarms/models/__init__.py
index 868e2663..3f8fb3e2 100644
--- a/swarms/models/__init__.py
+++ b/swarms/models/__init__.py
@@ -12,10 +12,8 @@ from swarms.models.clipq import CLIPQ # noqa: E402
# from swarms.models.whisperx_model import WhisperX # noqa: E402
# from swarms.models.kosmos_two import Kosmos # noqa: E402
# from swarms.models.cog_agent import CogAgent # noqa: E402
-# Function calling models
-from swarms.models.fire_function import (
- FireFunctionCaller,
-)
+## Function calling models
+from swarms.models.fire_function import FireFunctionCaller
from swarms.models.fuyu import Fuyu # noqa: E402
from swarms.models.gemini import Gemini # noqa: E402
from swarms.models.gigabind import Gigabind # noqa: E402
@@ -52,7 +50,7 @@ from swarms.models.timm import TimmModel # noqa: E402
# ) # noqa: E402
from swarms.models.together import TogetherLLM # noqa: E402
-# Types
+############## Types
from swarms.models.types import ( # noqa: E402
AudioModality,
ImageModality,
diff --git a/swarms/models/azure_openai_llm.py b/swarms/models/azure_openai_llm.py
index 54daed3e..aebb03fb 100644
--- a/swarms/models/azure_openai_llm.py
+++ b/swarms/models/azure_openai_llm.py
@@ -46,7 +46,7 @@ class AzureOpenAI(BaseOpenAI):
deployment_name: str | None = Field(
default=None, alias="azure_deployment"
)
- """A model deployment.
+ """A model deployment.
If given sets the base client URL to include `/deployments/{azure_deployment}`.
Note: this means you won't be able to use non-deployment endpoints.
@@ -62,7 +62,7 @@ class AzureOpenAI(BaseOpenAI):
Automatically inferred from env var `AZURE_OPENAI_AD_TOKEN` if not provided.
- For more:
+ For more:
https://www.microsoft.com/en-us/security/business/identity-access/microsoft-entra-id.
""" # noqa: E501
azure_ad_token_provider: Callable[[], str] | None = None
@@ -73,7 +73,7 @@ class AzureOpenAI(BaseOpenAI):
openai_api_type: str = ""
"""Legacy, for openai<1.0.0 support."""
validate_base_url: bool = True
- """For backwards compatibility. If legacy val openai_api_base is passed in, try to
+ """For backwards compatibility. If legacy val openai_api_base is passed in, try to
infer if it is a base_url or azure_endpoint and update accordingly.
"""
diff --git a/swarms/models/base_multimodal_model.py b/swarms/models/base_multimodal_model.py
index 77e8bac7..25975eaa 100644
--- a/swarms/models/base_multimodal_model.py
+++ b/swarms/models/base_multimodal_model.py
@@ -40,30 +40,14 @@ class BaseMultiModalModel:
Examples:
>>> from swarms.models.base_multimodal_model import BaseMultiModalModel
>>> model = BaseMultiModalModel()
- >>> link = "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png"
>>> model.run("Generate a summary of this text")
- >>> model.run("Generate a summary of this text", link)
+ >>> model.run("Generate a summary of this text", "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png")
>>> model.run_batch(["Generate a summary of this text", "Generate a summary of this text"])
- >>> model.run_batch([
- ("Generate a summary of this text", link),
- ("Generate a summary of this text", link)
- ])
- >>> model.run_batch_async([
- "Generate a summary of this text",
- "Generate a summary of this text"
- ])
- >>> model.run_batch_async([
- ("Generate a summary of this text", link),
- ("Generate a summary of this text", link)
- ])
- >>> model.run_batch_async_with_retries([
- "Generate a summary of this text",
- "Generate a summary of this text"
- ])
- >>> model.run_batch_async_with_retries([
- ("Generate a summary of this text", link),
- ("Generate a summary of this text", link)
- ])
+ >>> model.run_batch([("Generate a summary of this text", "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png"), ("Generate a summary of this text", "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png")])
+ >>> model.run_batch_async(["Generate a summary of this text", "Generate a summary of this text"])
+ >>> model.run_batch_async([("Generate a summary of this text", "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png"), ("Generate a summary of this text", "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png")])
+ >>> model.run_batch_async_with_retries(["Generate a summary of this text", "Generate a summary of this text"])
+ >>> model.run_batch_async_with_retries([("Generate a summary of this text", "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png"), ("Generate a summary of this text", "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png")])
>>> model.generate_summary("Generate a summary of this text")
>>> model.set_temperature(0.5)
>>> model.set_max_tokens(500)
@@ -364,9 +348,9 @@ class BaseMultiModalModel:
_type_: _description_
"""
META_PROMPT = """
- For any labels or markings on an image that you reference in your response, please
- enclose them in square brackets ([]) and list them explicitly. Do not use ranges; for
- example, instead of '1 - 4', list as '[1], [2], [3], [4]'. These labels could be
+ For any labels or markings on an image that you reference in your response, please
+ enclose them in square brackets ([]) and list them explicitly. Do not use ranges; for
+ example, instead of '1 - 4', list as '[1], [2], [3], [4]'. These labels could be
numbers or letters and typically correspond to specific segments or parts of the image.
"""
return META_PROMPT
diff --git a/swarms/models/biogpt.py b/swarms/models/biogpt.py
index 0d122667..a5ec7b7b 100644
--- a/swarms/models/biogpt.py
+++ b/swarms/models/biogpt.py
@@ -2,8 +2,7 @@ r"""
BioGPT
Pre-trained language models have attracted increasing attention in the biomedical domain,
inspired by their great success in the general natural language domain.
-Among the two main branches of pre-trained language models in the general language domain,
-i.e. BERT (and its variants) and GPT (and its variants),
+Among the two main branches of pre-trained language models in the general language domain, i.e. BERT (and its variants) and GPT (and its variants),
the first one has been extensively studied in the biomedical domain, such as BioBERT and PubMedBERT.
While they have achieved great success on a variety of discriminative downstream biomedical tasks,
the lack of generation ability constrains their application scope.
@@ -25,6 +24,7 @@ advantage of BioGPT on biomedical literature to generate fluent descriptions for
number = {6},
year = {2022},
month = {09},
+ abstract = "{Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain. Among the two main branches of pre-trained language models in the general language domain, i.e. BERT (and its variants) and GPT (and its variants), the first one has been extensively studied in the biomedical domain, such as BioBERT and PubMedBERT. While they have achieved great success on a variety of discriminative downstream biomedical tasks, the lack of generation ability constrains their application scope. In this paper, we propose BioGPT, a domain-specific generative Transformer language model pre-trained on large-scale biomedical literature. We evaluate BioGPT on six biomedical natural language processing tasks and demonstrate that our model outperforms previous models on most tasks. Especially, we get 44.98\%, 38.42\% and 40.76\% F1 score on BC5CDR, KD-DTI and DDI end-to-end relation extraction tasks, respectively, and 78.2\% accuracy on PubMedQA, creating a new record. Our case study on text generation further demonstrates the advantage of BioGPT on biomedical literature to generate fluent descriptions for biomedical terms.}",
issn = {1477-4054},
doi = {10.1093/bib/bbac409},
url = {https://doi.org/10.1093/bib/bbac409},
diff --git a/swarms/models/cog_vlm.py b/swarms/models/cog_vlm.py
index 095c7143..a3f820c5 100644
--- a/swarms/models/cog_vlm.py
+++ b/swarms/models/cog_vlm.py
@@ -161,8 +161,7 @@ class CogVLMMultiModal(BaseMultiModalModel):
Methods:
run: Generates a response using the CogVLM model.
generate_stream_cogvlm: Generates a stream of responses using the CogVLM model in inference mode.
- process_history_and_images: Processes history messages to extract text, identify the last user query,
- and convert base64 encoded image URLs to PIL images.
+ process_history_and_images: Processes history messages to extract text, identify the last user query, and convert base64 encoded image URLs to PIL images.
Example:
>>> model = CogVLMMultiModal()
diff --git a/swarms/models/dalle3.py b/swarms/models/dalle3.py
index 381a58f6..6b225b49 100644
--- a/swarms/models/dalle3.py
+++ b/swarms/models/dalle3.py
@@ -257,7 +257,7 @@ class Dalle3:
"""Print the Dalle3 dashboard"""
print(
colored(
- f"""Dalle3 Dashboard:
+ f"""Dalle3 Dashboard:
--------------------
Model: {self.model}
@@ -271,8 +271,8 @@ class Dalle3:
Save Folder: {self.save_folder}
Image Format: {self.image_format}
--------------------
-
-
+
+
""",
"green",
)
diff --git a/swarms/models/eleven_labs.py b/swarms/models/eleven_labs.py
index f82f43ca..2d55e864 100644
--- a/swarms/models/eleven_labs.py
+++ b/swarms/models/eleven_labs.py
@@ -37,8 +37,7 @@ class ElevenLabsText2SpeechTool(BaseTool):
Defaults to ElevenLabsModel.MULTI_LINGUAL.
name (str): The name of the tool. Defaults to "eleven_labs_text2speech".
description (str): The description of the tool.
- Defaults to "A wrapper around Eleven Labs Text2Speech. Useful for when you need to convert text to speech.
- It supports multiple languages, including English, German, Polish, Spanish, Italian, French, Portuguese, and Hindi."
+ Defaults to "A wrapper around Eleven Labs Text2Speech. Useful for when you need to convert text to speech. It supports multiple languages, including English, German, Polish, Spanish, Italian, French, Portuguese, and Hindi."
Usage:
diff --git a/swarms/models/gemini.py b/swarms/models/gemini.py
index 3aa6222d..249e9c53 100644
--- a/swarms/models/gemini.py
+++ b/swarms/models/gemini.py
@@ -132,13 +132,13 @@ class Gemini(BaseMultiModalModel):
system_prompt (str, optional): _description_. Defaults to None.
"""
PROMPT = f"""
-
+
{self.system_prompt}
-
+
######
-
+
{task}
-
+
"""
return PROMPT
diff --git a/swarms/models/gpt4_sam.py b/swarms/models/gpt4_sam.py
index b6c98771..37dde6a0 100644
--- a/swarms/models/gpt4_sam.py
+++ b/swarms/models/gpt4_sam.py
@@ -11,8 +11,7 @@ from swarms.utils.supervision_visualizer import MarkVisualizer
class GPT4VSAM(BaseMultiModalModel):
"""
GPT4VSAM class represents a multi-modal model that combines the capabilities of GPT-4 and SegmentAnythingMarkGenerator.
- It takes an instance of BaseMultiModalModel (vlm)
- and a device as input and provides methods for loading images and making predictions.
+ It takes an instance of BaseMultiModalModel (vlm) and a device as input and provides methods for loading images and making predictions.
Args:
vlm (BaseMultiModalModel): An instance of BaseMultiModalModel representing the visual language model.
diff --git a/swarms/models/gpt4_vision_api.py b/swarms/models/gpt4_vision_api.py
index 808415b3..5966a0b6 100644
--- a/swarms/models/gpt4_vision_api.py
+++ b/swarms/models/gpt4_vision_api.py
@@ -203,9 +203,8 @@ class GPT4VisionAPI(BaseMultiModalModel):
"""
PROMPT = f"""
- These are frames from a video that I want to upload.
- Generate a compelling description that I can upload along with the video:
-
+ These are frames from a video that I want to upload. Generate a compelling description that I can upload along with the video:
+
{frames}
"""
return PROMPT
diff --git a/swarms/models/idefics.py b/swarms/models/idefics.py
index 4054bae9..cc654221 100644
--- a/swarms/models/idefics.py
+++ b/swarms/models/idefics.py
@@ -63,8 +63,7 @@ class Idefics(BaseMultiModalModel):
response = model.chat(user_input)
print(response)
- user_input = "User: And who is that? \
-https://static.wikia.nocookie.net/asterix/images/2/25/R22b.gif/revision/latest?cb=20110815073052"
+ user_input = "User: And who is that? https://static.wikia.nocookie.net/asterix/images/2/25/R22b.gif/revision/latest?cb=20110815073052"
response = model.chat(user_input)
print(response)
diff --git a/swarms/models/medical_sam.py b/swarms/models/medical_sam.py
index 09203feb..8d096ba5 100644
--- a/swarms/models/medical_sam.py
+++ b/swarms/models/medical_sam.py
@@ -26,8 +26,7 @@ class MedicalSAM:
Methods:
__post_init__(): Initializes the MedicalSAM object.
- download_model_weights(model_path: str):
- Downloads the model weights from the specified URL and saves them to the given file path.
+ download_model_weights(model_path: str): Downloads the model weights from the specified URL and saves them to the given file path.
preprocess(img): Preprocesses the input image.
run(img, box): Runs the semantic segmentation on the input image within the specified bounding box.
diff --git a/swarms/models/openai_function_caller.py b/swarms/models/openai_function_caller.py
index 5d7b5631..e6822793 100644
--- a/swarms/models/openai_function_caller.py
+++ b/swarms/models/openai_function_caller.py
@@ -1,7 +1,6 @@
from typing import Any, Dict, List, Optional, Union
-from openai import OpenAI
-
+import openai
import requests
from pydantic import BaseModel, validator
from tenacity import (
@@ -148,7 +147,6 @@ class OpenAIFunctionCaller:
self.user = user
self.messages = messages if messages is not None else []
self.timeout_sec = timeout_sec
- self.client = OpenAI(api_key=self.openai_api_key)
def add_message(self, role: str, content: str):
self.messages.append({"role": role, "content": content})
@@ -165,7 +163,7 @@ class OpenAIFunctionCaller:
):
headers = {
"Content-Type": "application/json",
- "Authorization": "Bearer " + self.openai_api_key,
+ "Authorization": "Bearer " + openai.api_key,
}
json_data = {"model": self.model, "messages": messages}
if tools is not None:
@@ -237,7 +235,7 @@ class OpenAIFunctionCaller:
)
def call(self, task: str, *args, **kwargs) -> Dict:
- return self.client.completions.create(
+ return openai.Completion.create(
engine=self.model,
prompt=task,
max_tokens=self.max_tokens,
diff --git a/swarms/models/openai_models.py b/swarms/models/openai_models.py
index 42cced02..2ee56fdb 100644
--- a/swarms/models/openai_models.py
+++ b/swarms/models/openai_models.py
@@ -37,6 +37,9 @@ from tenacity import (
stop_after_attempt,
wait_exponential,
)
+
+logger = logging.getLogger(__name__)
+
from importlib.metadata import version
from packaging.version import parse
@@ -174,11 +177,11 @@ def _create_retry_decorator(
import openai
errors = [
- openai.Timeout,
- openai.APIError,
- openai.APIConnectionError,
- openai.RateLimitError,
- openai.ServiceUnavailableError,
+ openai.error.Timeout,
+ openai.error.APIError,
+ openai.error.APIConnectionError,
+ openai.error.RateLimitError,
+ openai.error.ServiceUnavailableError,
]
return create_base_retry_decorator(
error_types=errors,
@@ -349,13 +352,7 @@ class BaseOpenAI(BaseLLM):
try:
import openai
- values["client"] = openai.OpenAI(
- api_key=values["openai_api_key"],
- api_base=values["openai_api_base"] or None,
- organization=values["openai_organization"] or None,
- # TODO: Reenable this when openai package supports proxy
- # proxy=values["openai_proxy"] or None,
- )
+ values["client"] = openai.Completion
except ImportError:
raise ImportError(
"Could not import openai python package. "
@@ -648,11 +645,9 @@ class BaseOpenAI(BaseLLM):
"organization": self.openai_organization,
}
if self.openai_proxy:
- pass
+ import openai
- # TODO: The 'openai.proxy' option isn't read in the client API. You will need to pass it when you instantiate the
- # client, e.g. 'OpenAI(proxy={"http": self.openai_proxy, "https": self.openai_proxy})'
- # openai.proxy = {"http": self.openai_proxy, "https": self.openai_proxy} # type: ignore[assignment] # noqa: E501
+ openai.proxy = {"http": self.openai_proxy, "https": self.openai_proxy} # type: ignore[assignment] # noqa: E501
return {**openai_creds, **self._default_params}
@property
@@ -938,36 +933,44 @@ class OpenAIChat(BaseLLM):
@root_validator()
def validate_environment(cls, values: dict) -> dict:
"""Validate that api key and python package exists in environment."""
- # openai_api_key = get_from_dict_or_env(
- # values, "openai_api_key", "OPENAI_API_KEY"
- # )
- # openai_api_base = get_from_dict_or_env(
- # values,
- # "openai_api_base",
- # "OPENAI_API_BASE",
- # default="",
- # )
- # openai_proxy = get_from_dict_or_env(
- # values,
- # "openai_proxy",
- # "OPENAI_PROXY",
- # default="",
- # )
- # openai_organization = get_from_dict_or_env(
- # values,
- # "openai_organization",
- # "OPENAI_ORGANIZATION",
- # default="",
- # )
+ openai_api_key = get_from_dict_or_env(
+ values, "openai_api_key", "OPENAI_API_KEY"
+ )
+ openai_api_base = get_from_dict_or_env(
+ values,
+ "openai_api_base",
+ "OPENAI_API_BASE",
+ default="",
+ )
+ openai_proxy = get_from_dict_or_env(
+ values,
+ "openai_proxy",
+ "OPENAI_PROXY",
+ default="",
+ )
+ openai_organization = get_from_dict_or_env(
+ values,
+ "openai_organization",
+ "OPENAI_ORGANIZATION",
+ default="",
+ )
try:
import openai
+
+ openai.api_key = openai_api_key
+ if openai_api_base:
+ openai.api_base = openai_api_base
+ if openai_organization:
+ openai.organization = openai_organization
+ if openai_proxy:
+ openai.proxy = {"http": openai_proxy, "https": openai_proxy} # type: ignore[assignment] # noqa: E501
except ImportError:
raise ImportError(
"Could not import openai python package. "
"Please install it with `pip install openai`."
)
try:
- values["client"] = openai.OpenAI
+ values["client"] = openai.ChatCompletion
except AttributeError:
raise ValueError(
"`openai` has no `ChatCompletion` attribute, this is"
diff --git a/swarms/models/sam.py b/swarms/models/sam.py
index 05cf77db..c51a2517 100644
--- a/swarms/models/sam.py
+++ b/swarms/models/sam.py
@@ -27,8 +27,7 @@ class SAM:
processor (SamProcessor): The processor for the SAM model.
Methods:
- run(task=None, img=None, *args, **kwargs):
- Runs the SAM model on the given image and returns the segmentation scores and masks.
+ run(task=None, img=None, *args, **kwargs): Runs the SAM model on the given image and returns the segmentation scores and masks.
process_img(img: str = None, *args, **kwargs): Processes the input image and returns the processed image.
"""
diff --git a/swarms/models/speecht5.py b/swarms/models/speecht5.py
index 27cc6059..b9f2653b 100644
--- a/swarms/models/speecht5.py
+++ b/swarms/models/speecht5.py
@@ -2,29 +2,18 @@
SpeechT5 (TTS task)
SpeechT5 model fine-tuned for speech synthesis (text-to-speech) on LibriTTS.
-This model was introduced in SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing by
-Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu,
-Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei.
+This model was introduced in SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing by Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei.
SpeechT5 was first released in this repository, original weights. The license used is MIT.
Model Description
-Motivated by the success of T5 (Text-To-Text Transfer Transformer) in pre-trained natural language processing models,
-we propose a unified-modal SpeechT5 framework that explores the encoder-decoder pre-training for self-supervised speech/text
-representation learning. The SpeechT5 framework consists of a shared encoder-decoder network and six modal-specific
-(speech/text) pre/post-nets. After preprocessing the input speech/text through the pre-nets, the shared encoder-decoder network
-models the sequence-to-sequence transformation,and then the post-nets generate the output in the speech/text modality based on
-the output of the decoder.
-
-Leveraging large-scale unlabeled speech and text data, we pre-train SpeechT5 to learn a unified-modal representation,
-hoping to improve the modeling capability for both speech and text. To align the textual and speech information into
-this unified semantic space, we propose a cross-modal vector quantization approach that randomly mixes up speech/text
-states with latent units as the interface between encoder and decoder.
-
-Extensive evaluations show the superiority of the proposed SpeechT5 framework on a wide variety of spoken language processing
-tasks, including automatic speech recognition, speech synthesis, speech translation, voice conversion, speech enhancement,
-and speaker identification.
+Motivated by the success of T5 (Text-To-Text Transfer Transformer) in pre-trained natural language processing models, we propose a unified-modal SpeechT5 framework that explores the encoder-decoder pre-training for self-supervised speech/text representation learning. The SpeechT5 framework consists of a shared encoder-decoder network and six modal-specific (speech/text) pre/post-nets. After preprocessing the input speech/text through the pre-nets, the shared encoder-decoder network models the sequence-to-sequence transformation, and then the post-nets generate the output in the speech/text modality based on the output of the decoder.
+Leveraging large-scale unlabeled speech and text data, we pre-train SpeechT5 to learn a unified-modal representation, hoping to improve the modeling capability for both speech and text. To align the textual and speech information into this unified semantic space, we propose a cross-modal vector quantization approach that randomly mixes up speech/text states with latent units as the interface between encoder and decoder.
+
+Extensive evaluations show the superiority of the proposed SpeechT5 framework on a wide variety of spoken language processing tasks, including automatic speech recognition, speech synthesis, speech translation, voice conversion, speech enhancement, and speaker identification.
+
+Developed by: Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei.
Shared by [optional]: Matthijs Hollemans
Model type: text-to-speech
Language(s) (NLP): [More Information Needed]
diff --git a/swarms/models/ssd_1b.py b/swarms/models/ssd_1b.py
index 7b17fdac..4479c866 100644
--- a/swarms/models/ssd_1b.py
+++ b/swarms/models/ssd_1b.py
@@ -49,7 +49,7 @@ class SSD1B:
max_time_seconds: int = 60
save_folder: str = "images"
image_format: str = "png"
- device: str = "cuda" if torch.cuda.is_available() else "cpu"
+ device: str = "cuda"
dashboard: bool = False
cache = TTLCache(maxsize=100, ttl=3600)
pipe = StableDiffusionXLPipeline.from_pretrained(
@@ -171,7 +171,7 @@ class SSD1B:
"""Print the SSD1B dashboard"""
print(
colored(
- f"""SSD1B Dashboard:
+ f"""SSD1B Dashboard:
--------------------
Model: {self.model}
@@ -185,8 +185,8 @@ class SSD1B:
Save Folder: {self.save_folder}
Image Format: {self.image_format}
--------------------
-
-
+
+
""",
"green",
)
diff --git a/swarms/prompts/tools.py b/swarms/prompts/tools.py
index fe1c8980..fe82ba5d 100644
--- a/swarms/prompts/tools.py
+++ b/swarms/prompts/tools.py
@@ -34,7 +34,7 @@ commands: {
"""
-# FEW SHOT EXAMPLES #
+########### FEW SHOT EXAMPLES ################
SCENARIOS = """
commands: {
"tools": {
diff --git a/swarms/prompts/worker_prompt.py b/swarms/prompts/worker_prompt.py
index 63723d36..08636516 100644
--- a/swarms/prompts/worker_prompt.py
+++ b/swarms/prompts/worker_prompt.py
@@ -62,6 +62,6 @@ def worker_tools_sop_promp(name: str, memory: str, time=time):
[{memory}]
Human: Determine which next command to use, and respond using the format specified above:
- """.format(name=name, time=time, memory=memory) # noqa: F521
+ """.format(name=name, time=time, memory=memory)
return str(out)
diff --git a/swarms/structs/agent.py b/swarms/structs/agent.py
index d1545d39..9d2a5e1a 100644
--- a/swarms/structs/agent.py
+++ b/swarms/structs/agent.py
@@ -447,7 +447,7 @@ class Agent:
Name: {self.agent_name}
Description: {self.agent_description}
Standard Operating Procedure: {self.sop}
- System Prompt: {self.system_prompt}
+ System Prompt: {self.system_prompt}
Task: {task}
Max Loops: {self.max_loops}
Stopping Condition: {self.stopping_condition}
@@ -778,7 +778,7 @@ class Agent:
Follow this standard operating procedure (SOP) to complete tasks:
{self.sop}
-
+
{history}
"""
return agent_history_prompt
@@ -786,7 +786,7 @@ class Agent:
system_prompt = self.system_prompt
agent_history_prompt = f"""
System : {system_prompt}
-
+
{history}
"""
return agent_history_prompt
diff --git a/swarms/structs/async_workflow.py b/swarms/structs/async_workflow.py
index 76671476..6cf9e312 100644
--- a/swarms/structs/async_workflow.py
+++ b/swarms/structs/async_workflow.py
@@ -98,8 +98,7 @@ class AsyncWorkflow:
# if self.dashboard:
# self.display()
- # Add a stopping condition to stop the workflow,
- # if provided but stopping_condition takes in a parameter s for string
+ # Add a stopping condition to stop the workflow, if provided but stopping_condition takes in a parameter s for string
if self.stopping_condition:
if self.stopping_condition(self.results):
break
diff --git a/swarms/structs/base_swarm.py b/swarms/structs/base_swarm.py
index 2f6176dc..ed910546 100644
--- a/swarms/structs/base_swarm.py
+++ b/swarms/structs/base_swarm.py
@@ -86,6 +86,10 @@ class AbstractSwarm(ABC):
def step(self):
"""Step the swarm"""
+ # @abstractmethod
+ def add_agent(self, agent: "Agent"):
+ """Add a agent to the swarm"""
+
# @abstractmethod
def remove_agent(self, agent: "Agent"):
"""Remove a agent from the swarm"""
diff --git a/swarms/structs/base_workflow.py b/swarms/structs/base_workflow.py
index b6416696..17b98ce8 100644
--- a/swarms/structs/base_workflow.py
+++ b/swarms/structs/base_workflow.py
@@ -195,16 +195,7 @@ class BaseWorkflow(BaseStructure):
>>> workflow.add("Create a report on these metrics", llm)
>>> workflow.delete_task("What's the weather in miami")
>>> workflow.tasks
- [
- Task(
- description='Create a report on these metrics',
- agent=Agent(llm=OpenAIChat(openai_api_key=''), max_loops=1, dashboard=False),
- args=[],
- kwargs={},
- result=None,
- history=[]
- )
- ]
+ [Task(description='Create a report on these metrics', agent=Agent(llm=OpenAIChat(openai_api_key=''), max_loops=1, dashboard=False), args=[], kwargs={}, result=None, history=[])]
"""
try:
for task in self.tasks:
diff --git a/swarms/structs/concurrent_workflow.py b/swarms/structs/concurrent_workflow.py
index 2c83895a..f36df3b3 100644
--- a/swarms/structs/concurrent_workflow.py
+++ b/swarms/structs/concurrent_workflow.py
@@ -15,8 +15,7 @@ class ConcurrentWorkflow(BaseStructure):
Args:
max_workers (int): The maximum number of workers to use for the ThreadPoolExecutor.
autosave (bool): Whether to save the state of the workflow to a file. Default is False.
- saved_state_filepath (str):
- The filepath to save the state of the workflow to. Default is "runs/concurrent_workflow.json".
+ saved_state_filepath (str): The filepath to save the state of the workflow to. Default is "runs/concurrent_workflow.json".
print_results (bool): Whether to print the results of each task. Default is False.
return_results (bool): Whether to return the results of each task. Default is False.
use_processes (bool): Whether to use processes instead of threads. Default is False.
diff --git a/swarms/structs/debate.py b/swarms/structs/debate.py
index c1510ef0..95c889d3 100644
--- a/swarms/structs/debate.py
+++ b/swarms/structs/debate.py
@@ -19,8 +19,7 @@ class DebatePlayer(Agent):
Args:
model_name(str): model name
name (str): name of this player
- temperature (float):
- higher values make the output more random, while lower values make it more focused and deterministic
+ temperature (float): higher values make the output more random, while lower values make it more focused and deterministic
openai_api_key (str): As the parameter name suggests
sleep_time (float): sleep because of rate limits
"""
@@ -32,8 +31,7 @@ class Debate:
Args:
model_name (str): openai model name
- temperature (float):
- higher values make the output more random, while lower values make it more focused and deterministic
+ temperature (float): higher values make the output more random, while lower values make it more focused and deterministic
num_players (int): num of players
save_file_dir (str): dir path to json file
openai_api_key (str): As the parameter name suggests
@@ -361,13 +359,6 @@ class Debate:
# with open(prompts_path, 'w') as file:
# json.dump(config, file, ensure_ascii=False, indent=4)
-# debate = Debate(
-# save_file_dir=save_file_dir,
-# num_players=3,
-# openai_api_key=openai_api_key,
-# prompts_path=prompts_path,
-# temperature=0,
-# sleep_time=0
-# )
+# debate = Debate(save_file_dir=save_file_dir, num_players=3, openai_api_key=openai_api_key, prompts_path=prompts_path, temperature=0, sleep_time=0)
# debate.run()
# debate.save_file_to_json(id)
diff --git a/swarms/structs/graph_workflow.py b/swarms/structs/graph_workflow.py
index d06a5477..23d90339 100644
--- a/swarms/structs/graph_workflow.py
+++ b/swarms/structs/graph_workflow.py
@@ -17,8 +17,7 @@ class GraphWorkflow(BaseStructure):
connect(from_node, to_node): Connects two nodes in the graph.
set_entry_point(node_name): Sets the entry point node for the workflow.
add_edge(from_node, to_node): Adds an edge between two nodes in the graph.
- add_conditional_edges(from_node, condition, edge_dict):
- Adds conditional edges from a node to multiple nodes based on a condition.
+ add_conditional_edges(from_node, condition, edge_dict): Adds conditional edges from a node to multiple nodes based on a condition.
run(): Runs the workflow and returns the graph.
Examples:
diff --git a/swarms/structs/long_swarm.py b/swarms/structs/long_swarm.py
index 7df54726..e24a3e08 100644
--- a/swarms/structs/long_swarm.py
+++ b/swarms/structs/long_swarm.py
@@ -51,23 +51,23 @@ class LongContextSwarmLeader:
- prompt (str): The formatted string containing the agent metadata.
"""
prompt = f"""
-
+
You need to recruit a team of members to solve a
task. Select the appropriate member based on the
task description:
-
+
# Task Description
{task}
-
+
# Members
-
+
Your output must follow this JSON schema below in markdown format:
{{
"agent_id": "string",
"agent_name": "string",
"agent_description": "string"
}}
-
+
"""
for agent in self.agents:
prompt += (
@@ -83,7 +83,7 @@ class LongContextSwarmLeader:
You are the leader of a team of {len(self.agents)}
members. Your team will need to collaborate to
solve a task. The rule is:
-
+
1. Only you know the task description and task
objective; the other members do not.
2. But they will receive different documents that
@@ -95,13 +95,13 @@ class LongContextSwarmLeader:
explicitly include the task objective.
4. Finally, you need to complete the task based on
the query results they return.
-
+
# Task Description:
{task_description}
-
+
# Task Objective:
{task}
-
+
# Generate Instruction for Members:
Now, you need to generate an instruction for all
team members. You can ask them to answer a
@@ -110,7 +110,7 @@ class LongContextSwarmLeader:
Your output must following the JSON
format: {{"type": "instruction", "content":
"your_instruction_content"}}
-
+
"""
return prompt
diff --git a/swarms/structs/majority_voting.py b/swarms/structs/majority_voting.py
index 4475a301..a2b414ba 100644
--- a/swarms/structs/majority_voting.py
+++ b/swarms/structs/majority_voting.py
@@ -129,8 +129,7 @@ class MajorityVoting:
multithreaded (bool, optional): Whether to run the agents using multithreading. Defaults to False.
multiprocess (bool, optional): Whether to run the agents using multiprocessing. Defaults to False.
asynchronous (bool, optional): Whether to run the agents asynchronously. Defaults to False.
- output_parser (callable, optional): A callable function to parse the output
- of the majority voting system. Defaults to None.
+ output_parser (callable, optional): A callable function to parse the output of the majority voting system. Defaults to None.
Examples:
>>> from swarms.structs.agent import Agent
diff --git a/swarms/structs/message_pool.py b/swarms/structs/message_pool.py
index 716c1da2..37dbb19e 100644
--- a/swarms/structs/message_pool.py
+++ b/swarms/structs/message_pool.py
@@ -3,7 +3,7 @@ from time import time_ns
from typing import Callable, List, Optional, Sequence, Union
from swarms.structs.agent import Agent
-from swarms.structs.base_swarm import AbstractSwarm
+from swarms.structs.base_swarm import BaseSwarm
from swarms.utils.loguru_logger import logger
@@ -43,7 +43,7 @@ def msg_hash(
)
-class MessagePool(AbstractSwarm):
+class MessagePool(BaseSwarm):
"""
A class representing a message pool for agents in a swarm.
@@ -68,17 +68,11 @@ class MessagePool(AbstractSwarm):
>>> message_pool.add(agent=agent2, content="Hello, agent1!", turn=1)
>>> message_pool.add(agent=agent3, content="Hello, agent1!", turn=1)
>>> message_pool.get_all_messages()
- [{'agent': Agent(agent_name='agent1'), 'content': 'Hello, agent2!', 'turn': 1, 'visible_to': 'all', 'logged': True},
- {'agent': Agent(agent_name='agent2'), 'content': 'Hello, agent1!', 'turn': 1, 'visible_to': 'all', 'logged': True},
- {'agent': Agent(agent_name='agent3'), 'content': 'Hello, agent1!', 'turn': 1, 'visible_to': 'all', 'logged': True}]
+ [{'agent': Agent(agent_name='agent1'), 'content': 'Hello, agent2!', 'turn': 1, 'visible_to': 'all', 'logged': True}, {'agent': Agent(agent_name='agent2'), 'content': 'Hello, agent1!', 'turn': 1, 'visible_to': 'all', 'logged': True}, {'agent': Agent(agent_name='agent3'), 'content': 'Hello, agent1!', 'turn': 1, 'visible_to': 'all', 'logged': True}]
+ >>> message_pool.get_visible_messages(agent=agent1, turn=1)
+ [{'agent': Agent(agent_name='agent1'), 'content': 'Hello, agent2!', 'turn': 1, 'visible_to': 'all', 'logged': True}, {'agent': Agent(agent_name='agent2'), 'content': 'Hello, agent1!', 'turn': 1, 'visible_to': 'all', 'logged': True}, {'agent': Agent(agent_name='agent3'), 'content': 'Hello, agent1!', 'turn': 1, 'visible_to': 'all', 'logged': True}]
>>> message_pool.get_visible_messages(agent=agent2, turn=1)
- [{'agent': Agent(agent_name='agent1'), 'content': 'Hello, agent2!', 'turn': 1, 'visible_to': 'all', 'logged': True},
- {'agent': Agent(agent_name='agent2'), 'content': 'Hello, agent1!', 'turn': 1, 'visible_to': 'all', 'logged': True},
- {'agent': Agent(agent_name='agent3'), 'content': 'Hello, agent1!', 'turn': 1, 'visible_to': 'all', 'logged': True}]
- >>> message_pool.get_visible_messages(agent=agent2, turn=1)
- [{'agent': Agent(agent_name='agent1'), 'content': 'Hello, agent2!', 'turn': 1, 'visible_to': 'all', 'logged': True},
- {'agent': Agent(agent_name='agent2'), 'content': 'Hello, agent1!', 'turn': 1, 'visible_to': 'all', 'logged': True},
- {'agent': Agent(agent_name='agent3'), 'content': 'Hello, agent1!', 'turn': 1, 'visible_to': 'all', 'logged': True}]
+ [{'agent': Agent(agent_name='agent1'), 'content': 'Hello, agent2!', 'turn': 1, 'visible_to': 'all', 'logged': True}, {'agent': Agent(agent_name='agent2'), 'content': 'Hello, agent1!', 'turn': 1, 'visible_to': 'all', 'logged': True}, {'agent': Agent(agent_name='agent3'), 'content': 'Hello, agent1!', 'turn': 1, 'visible_to': 'all', 'logged': True}]
"""
def __init__(
diff --git a/swarms/telemetry/check_update.py b/swarms/telemetry/check_update.py
index aca4ab90..2a5df8a9 100644
--- a/swarms/telemetry/check_update.py
+++ b/swarms/telemetry/check_update.py
@@ -1,7 +1,7 @@
import importlib.util
import sys
-from importlib.metadata import version as pkg_version
+import pkg_resources
import requests
from packaging import version
@@ -35,7 +35,7 @@ def check_for_update():
latest_version = response.json()["info"]["version"]
# Get the current version using pkg_resources
- current_version = pkg_version("swarms")
+ current_version = pkg_resources.get_distribution("swarms").version
return version.parse(latest_version) > version.parse(
current_version
diff --git a/swarms/telemetry/sys_info.py b/swarms/telemetry/sys_info.py
index c8cb5453..3669fbbd 100644
--- a/swarms/telemetry/sys_info.py
+++ b/swarms/telemetry/sys_info.py
@@ -1,8 +1,8 @@
import platform
import subprocess
+import pkg_resources
import psutil
-import importlib.metadata as metadata
import toml
@@ -31,7 +31,9 @@ def get_swarms_verison():
)
except Exception as e:
swarms_verison_cmd = str(e)
- swarms_verison_pkg = metadata.version("swarms")
+ swarms_verison_pkg = pkg_resources.get_distribution(
+ "swarms"
+ ).version
swarms_verison = swarms_verison_cmd, swarms_verison_pkg
return swarms_verison
@@ -65,7 +67,7 @@ def get_package_mismatches(file_path="pyproject.toml"):
dependencies.update(dev_dependencies)
installed_packages = {
- pkg.key: pkg.version for pkg in metadata.distributions()
+ pkg.key: pkg.version for pkg in pkg_resources.working_set
}
mismatches = []
diff --git a/swarms/tools/tool_func_doc_scraper.py b/swarms/tools/tool_func_doc_scraper.py
index 60e6de6f..fccfc6a1 100644
--- a/swarms/tools/tool_func_doc_scraper.py
+++ b/swarms/tools/tool_func_doc_scraper.py
@@ -12,8 +12,7 @@ def scrape_tool_func_docs(fn: Callable) -> str:
fn (Callable): The function to scrape.
Returns:
- str: A string containing the function's name, documentation string, and a list of its parameters.
- Each parameter is represented as a line containing the parameter's name, default value, and annotation.
+ str: A string containing the function's name, documentation string, and a list of its parameters. Each parameter is represented as a line containing the parameter's name, default value, and annotation.
"""
try:
# If the function is a tool, get the original function
diff --git a/swarms/tools/tool_utils.py b/swarms/tools/tool_utils.py
index 3f51187d..ee6b6391 100644
--- a/swarms/tools/tool_utils.py
+++ b/swarms/tools/tool_utils.py
@@ -85,7 +85,7 @@ def tools_prompt_prep(docs: str = None, scenarios: str = SCENARIOS):
You will be provided with a list of APIs. These APIs will have a
description and a list of parameters and return types for each tool. Your
task involves creating varied, complex, and detailed user scenarios
- that require to call API calls. You must select what api to call based on
+ that require to call API calls. You must select what api to call based on
the context of the task and the scenario.
For instance, given the APIs: SearchHotels, BookHotel, CancelBooking,
@@ -116,14 +116,14 @@ def tools_prompt_prep(docs: str = None, scenarios: str = SCENARIOS):
different combination of APIs for each scenario. All APIs must be used in
at least one scenario. You can only use the APIs provided in the APIs
section.
-
+
Note that API calls are not explicitly mentioned and their uses are
included in parentheses. This behaviour should be mimicked in your
response.
-
- Output the tool usage in a strict json format with the function name and input to
+
+ Output the tool usage in a strict json format with the function name and input to
the function. For example, Deliver your response in this format:
-
+
âââ
{scenarios}
âââ
diff --git a/swarms/utils/apa.py b/swarms/utils/apa.py
index bbb7271c..05b25c5c 100644
--- a/swarms/utils/apa.py
+++ b/swarms/utils/apa.py
@@ -83,7 +83,7 @@ class TestResult:
prompt = f"""
This function has been executed for {self.visit_times} times. Last execution:
1.Status: {self.runtime_status.name}
-2.Input:
+2.Input:
{self.input_data}
3.Output:
@@ -108,7 +108,7 @@ class Action:
def to_json(self):
try:
tool_output = json.loads(self.tool_output)
- except json.JSONDecodeError:
+ except:
tool_output = self.tool_output
return {
"thought": self.thought,
diff --git a/swarms/utils/load_model_torch.py b/swarms/utils/load_model_torch.py
index bda898ac..53649e93 100644
--- a/swarms/utils/load_model_torch.py
+++ b/swarms/utils/load_model_torch.py
@@ -18,8 +18,7 @@ def load_model_torch(
model_path (str): Path to the saved model file.
device (torch.device): Device to move the model to.
model (nn.Module): The model architecture, if the model file only contains the state dictionary.
- strict (bool): Whether to strictly enforce that the keys in the state dictionary match the keys returned by the model's
- `state_dict()` function.
+ strict (bool): Whether to strictly enforce that the keys in the state dictionary match the keys returned by the model's `state_dict()` function.
map_location (callable): A function to remap the storage locations of the loaded model.
*args: Additional arguments to pass to `torch.load`.
**kwargs: Additional keyword arguments to pass to `torch.load`.
diff --git a/swarms/utils/pandas_to_str.py b/swarms/utils/pandas_to_str.py
index 464a7b31..64415487 100644
--- a/swarms/utils/pandas_to_str.py
+++ b/swarms/utils/pandas_to_str.py
@@ -14,7 +14,7 @@ def dataframe_to_text(
Returns:
str: The string representation of the DataFrame.
-
+
Example:
>>> df = pd.DataFrame({
... 'A': [1, 2, 3],
diff --git a/tests/Dockerfile b/tests/Dockerfile
index f575f599..f6e46515 100644
--- a/tests/Dockerfile
+++ b/tests/Dockerfile
@@ -1,7 +1,7 @@
# TESTING
# -==================
# Use an official Python runtime as a parent image
-FROM python:3.10-slim
+FROM python:3.9-slim
# Set environment variables to make Python output unbuffered and disable the PIP cache
ENV PYTHONDONTWRITEBYTECODE 1
diff --git a/tests/structs/test_groupchat.py b/tests/structs/test_groupchat.py
index 957f2103..e8096d9c 100644
--- a/tests/structs/test_groupchat.py
+++ b/tests/structs/test_groupchat.py
@@ -6,9 +6,7 @@ from swarms.structs.agent import Agent
from swarms.structs.groupchat import GroupChat, GroupChatManager
llm = OpenAIChat()
-# llm2 = Anthropic()
-# TODO: Mock anthropic class
-llm2 = OpenAIChat()
+llm2 = Anthropic()
# Mock the OpenAI class for testing
diff --git a/tests/structs/test_json.py b/tests/structs/test_json.py
new file mode 100644
index 00000000..9ba11072
--- /dev/null
+++ b/tests/structs/test_json.py
@@ -0,0 +1,73 @@
+# JSON
+
+# Contents of test_json.py, which must be placed in the `tests/` directory.
+
+import json
+
+import pytest
+
+from swarms.tokenizers import JSON
+
+
+# Fixture for reusable JSON schema file paths
+@pytest.fixture
+def valid_schema_path(tmp_path):
+ d = tmp_path / "sub"
+ d.mkdir()
+ p = d / "schema.json"
+ p.write_text(
+ '{"type": "object", "properties": {"name": {"type":'
+ ' "string"}}}'
+ )
+ return str(p)
+
+
+@pytest.fixture
+def invalid_schema_path(tmp_path):
+ d = tmp_path / "sub"
+ d.mkdir()
+ p = d / "invalid_schema.json"
+ p.write_text("this is not a valid JSON")
+ return str(p)
+
+
+# This test class must be subclassed as JSON class is abstract
+class TestableJSON(JSON):
+ def validate(self, data):
+ # Here must be a real validation implementation for testing
+ pass
+
+
+# Basic tests
+def test_initialize_json(valid_schema_path):
+ json_obj = TestableJSON(valid_schema_path)
+ assert json_obj.schema_path == valid_schema_path
+ assert "name" in json_obj.schema["properties"]
+
+
+def test_load_schema_failure(invalid_schema_path):
+ with pytest.raises(json.JSONDecodeError):
+ TestableJSON(invalid_schema_path)
+
+
+# Mocking tests
+def test_validate_calls_method(monkeypatch):
+ # Mock the validate method to check that it is being called
+ pass
+
+
+# Exception tests
+def test_initialize_with_nonexistent_schema():
+ with pytest.raises(FileNotFoundError):
+ TestableJSON("nonexistent_path.json")
+
+
+# Tests on different Python versions if applicable
+# ...
+
+
+# Grouping tests marked as slow if they perform I/O operations
+@pytest.mark.slow
+def test_loading_large_schema():
+ # Test with a large json file
+ pass
diff --git a/tests/structs/test_model_parallizer.py b/tests/structs/test_model_parallizer.py
index 2966712e..a0840608 100644
--- a/tests/structs/test_model_parallizer.py
+++ b/tests/structs/test_model_parallizer.py
@@ -15,7 +15,7 @@ custom_config = {
"verbose": True,
}
huggingface_llm = HuggingfaceLLM(
- model_id="liuhaotian/llava-v1.6-mistral-7b",
+ model_id="NousResearch/Nous-Hermes-2-Vision-Alpha",
**custom_config,
)
mixtral = Mixtral(load_in_4bit=True, use_flash_attention_2=True)