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Add yamlfmt precommit hook (#2584)

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Co-authored-by: Shuchang Zheng <wintonzheng0325@gmail.com>
This commit is contained in:
Asher Foa
2025-06-05 15:34:20 -04:00
committed by GitHub
parent 4f0eecc181
commit 721ed50116
15 changed files with 219 additions and 1372 deletions
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13
.github/workflows/build-docker-image.yml vendored
View File

@@ -1,42 +1,34 @@
name: Build Docker Image and Push to ECR
on:
release:
types: [ published ]
types: [published]
env:
AWS_REGION: us-east-1
ECR_BACKEND_REPOSITORY: skyvern
ECR_UI_REPOSITORY: skyvern-ui
REGISTRY_ALIAS: skyvern # t6d4b5t4
jobs:
run-ci:
uses: ./.github/workflows/ci.yml
build-docker-image:
runs-on: ubuntu-latest
needs: [ run-ci ]
needs: [run-ci]
steps:
- name: Check out Git repository
uses: actions/checkout@v4
- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v4
with:
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
aws-region: ${{ env.AWS_REGION }}
- name: Login to Amazon ECR Public
id: login-ecr-public
uses: aws-actions/amazon-ecr-login@v2
with:
registry-type: public
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v1
- name: Build, tag, and push backend image to Amazon Public ECR
id: build-image
uses: docker/build-push-action@v2
@@ -52,7 +44,6 @@ jobs:
${{ env.ECR_REGISTRY}}/${{ env.REGISTRY_ALIAS }}/${{ env.ECR_BACKEND_REPOSITORY }}:${{ github.sha }}
${{ env.ECR_REGISTRY}}/${{ env.REGISTRY_ALIAS }}/${{ env.ECR_BACKEND_REPOSITORY }}:${{ github.event.release.tag_name }}
${{ env.ECR_REGISTRY}}/${{ env.REGISTRY_ALIAS }}/${{ env.ECR_BACKEND_REPOSITORY }}:latest
- name: Build, tag, and push ui image to Amazon Public ECR
id: build-ui-image
uses: docker/build-push-action@v2

22
.github/workflows/ci.yml vendored
View File

@@ -1,5 +1,4 @@
name: Run tests and pre-commit
# Run this job on pushes to `main`, and for pull requests. If you don't specify
# `branches: [main], then this actions runs _twice_ on pull requests, which is
# annoying.
@@ -8,12 +7,10 @@ on:
pull_request:
push:
branches: [main]
jobs:
test:
name: Run tests and pre-commit hooks
runs-on: ubuntu-latest
# Service containers to run with `container-job`
services:
# Label used to access the service container
@@ -27,23 +24,17 @@ jobs:
POSTGRES_HOST_AUTH_METHOD: trust
# Set health checks to wait until postgres has started
options: >-
--health-cmd pg_isready
--health-interval 10s
--health-timeout 5s
--health-retries 5
--health-cmd pg_isready --health-interval 10s --health-timeout 5s --health-retries 5
ports:
# Maps tcp port 5432 on service container to the host
- 5432:5432
steps:
- uses: actions/checkout@v3
# If you wanted to use multiple Python versions, you'd have specify a matrix in the job and
# reference the matrixe python version here.
- uses: actions/setup-python@v4
with:
python-version: "3.11"
# Cache the installation of Poetry itself, e.g. the next step. This prevents the workflow
# from installing Poetry every time, which can be slow. Note the use of the Poetry version
# number in the cache key, and the "-0" suffix: this allows you to invalidate the cache
@@ -54,7 +45,6 @@ jobs:
with:
path: ~/.local
key: poetry-1.7.1
# Install Poetry. You could do this manually, or there are several actions that do this.
# `snok/install-poetry` seems to be minimal yet complete, and really just calls out to
# Poetry's default install script, which feels correct. I pin the Poetry version here
@@ -69,7 +59,6 @@ jobs:
version: 1.7.1
virtualenvs-create: true
virtualenvs-in-project: true
# Cache your dependencies (i.e. all the stuff in your `pyproject.toml`). Note the cache
# key: if you're using multiple Python versions, or multiple OSes, you'd need to include
# them in the cache key. I'm not, so it can be simple and just depend on the poetry.lock.
@@ -79,19 +68,16 @@ jobs:
with:
path: .venv
key: pydeps-${{ hashFiles('**/poetry.lock') }}
# Install dependencies. `--no-root` means "install all dependencies but not the project
# itself", which is what you want to avoid caching _your_ code. The `if` statement
# ensures this only runs on a cache miss.
- run: poetry install --no-interaction --no-root
if: steps.cache-deps.outputs.cache-hit != 'true'
# Now install _your_ project. This isn't necessary for many types of projects -- particularly
# things like Django apps don't need this. But it's a good idea since it fully-exercises the
# pyproject.toml and makes that if you add things like console-scripts at some point that
# they'll be installed and working.
- run: poetry install --no-interaction
# Finally, run pre-commit.
- name: Run all pre-commit hooks
uses: pre-commit/action@v3.0.0
@@ -105,7 +91,6 @@ jobs:
AZURE_GPT4O_MINI_API_VERSION: "dummy"
AWS_REGION: "us-east-1"
ENABLE_BEDROCK: "true"
- name: Run alembic check
env:
ENABLE_OPENAI: "true"
@@ -123,7 +108,6 @@ jobs:
ENABLE_OPENAI: "true"
OPENAI_API_KEY: "sk-dummy"
run: poetry run pytest tests
fe-lint-build:
name: Frontend Lint and Build
runs-on: ubuntu-latest
@@ -133,17 +117,13 @@ jobs:
steps:
- name: Check out Git repository
uses: actions/checkout@v4
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version-file: .nvmrc
- name: Install Node.js dependencies
run: npm ci
- name: Run linter
run: npm run lint
- name: Run build
run: npm run build

8
.github/workflows/codeflash.yaml vendored
View File

@@ -1,17 +1,14 @@
name: Codeflash
on:
pull_request:
paths:
# So that this workflow only runs when code within the target module is modified
- "skyvern/**"
workflow_dispatch:
concurrency:
# Any new push to the PR will cancel the previous run, so that only the latest code is optimized
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
optimize:
name: Optimize new Python code in this PR
@@ -21,7 +18,6 @@ jobs:
env:
CODEFLASH_API_KEY: ${{ secrets.CODEFLASH_API_KEY }}
CODEFLASH_PR_NUMBER: ${{ github.event.number }}
steps:
- uses: actions/checkout@v4
with:
@@ -44,5 +40,5 @@ jobs:
poetry env use python
poetry run codeflash
- name: remove test dir
run: |
rm -rf codeflash-tests
run: |-
rm -rf codeflash-tests

4
.github/workflows/inactive-issues-and-prs.yml vendored
View File

@@ -1,8 +1,6 @@
name: Close inactive issues
on:
workflow_dispatch:
workflow_dispatch:
jobs:
close-issues:
runs-on: ubuntu-latest

43
.github/workflows/n8n-ci.yml vendored
View File

@@ -1,37 +1,30 @@
name: Run n8n package CI
on:
push:
branches: [ main ]
branches: [main]
paths:
- 'integrations/n8n/**'
pull_request:
branches: [ main ]
branches: [main]
paths:
- 'integrations/n8n/**'
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version-file: .nvmrc
- name: Install pnpm
uses: pnpm/action-setup@v2
with:
version: 9
run_install: false
- name: Install dependencies
working-directory: integrations/n8n
run: pnpm install --frozen-lockfile
- name: Build and Lint
working-directory: integrations/n8n
run: pnpm prepublishOnly
- uses: actions/checkout@v4
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version-file: .nvmrc
- name: Install pnpm
uses: pnpm/action-setup@v2
with:
version: 9
run_install: false
- name: Install dependencies
working-directory: integrations/n8n
run: pnpm install --frozen-lockfile
- name: Build and Lint
working-directory: integrations/n8n
run: pnpm prepublishOnly

6
.github/workflows/publish-fern-docs.yml vendored
View File

@@ -1,10 +1,8 @@
name: Publish Fern Docs
on:
push:
branches:
- main
jobs:
run:
runs-on: ubuntu-latest
@@ -12,12 +10,10 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Install Fern
run: npm install -g fern-api
- name: Publish Docs
env:
FERN_TOKEN: ${{ secrets.FERN_TOKEN }}
POSTHOG_API_KEY: ${{ secrets.POSTHOG_API_KEY }}
run: fern generate --docs
run: fern generate --docs

16
.github/workflows/sdk-release.yml vendored
View File

@@ -1,5 +1,4 @@
name: Build Skyvern SDK and publish to PyPI
on:
workflow_dispatch:
push:
@@ -7,7 +6,6 @@ on:
- main
paths:
- 'pyproject.toml'
jobs:
check-version-change:
runs-on: ubuntu-latest
@@ -17,7 +15,6 @@ jobs:
- uses: actions/checkout@v4
with:
fetch-depth: 2
- name: Check if version changed
id: check
run: |
@@ -35,12 +32,10 @@ jobs:
echo "Version remained at $CURRENT_VERSION"
echo "version_changed=false" >> $GITHUB_OUTPUT
fi
run-ci:
needs: check-version-change
if: needs.check-version-change.outputs.version_changed == 'true'
uses: ./.github/workflows/ci.yml
build-sdk:
runs-on: ubuntu-latest
needs: [check-version-change, run-ci]
@@ -48,13 +43,11 @@ jobs:
steps:
- name: Check out Git repository
uses: actions/checkout@v4
# If you wanted to use multiple Python versions, you'd have specify a matrix in the job and
# reference the matrixe python version here.
- uses: actions/setup-python@v4
with:
python-version: "3.11"
# Cache the installation of Poetry itself, e.g. the next step. This prevents the workflow
# from installing Poetry every time, which can be slow. Note the use of the Poetry version
# number in the cache key, and the "-0" suffix: this allows you to invalidate the cache
@@ -65,7 +58,6 @@ jobs:
with:
path: ~/.local
key: poetry-1.7.1
# Install Poetry. You could do this manually, or there are several actions that do this.
# `snok/install-poetry` seems to be minimal yet complete, and really just calls out to
# Poetry's default install script, which feels correct. I pin the Poetry version here
@@ -80,7 +72,6 @@ jobs:
version: 1.7.1
virtualenvs-create: true
virtualenvs-in-project: true
# Cache your dependencies (i.e. all the stuff in your `pyproject.toml`). Note the cache
# key: if you're using multiple Python versions, or multiple OSes, you'd need to include
# them in the cache key. I'm not, so it can be simple and just depend on the poetry.lock.
@@ -90,27 +81,22 @@ jobs:
with:
path: .venv
key: pydeps-${{ hashFiles('**/poetry.lock') }}
# Install dependencies. `--no-root` means "install all dependencies but not the project
# itself", which is what you want to avoid caching _your_ code. The `if` statement
# ensures this only runs on a cache miss.
- run: poetry install --no-interaction --no-root
if: steps.cache-deps.outputs.cache-hit != 'true'
# Now install _your_ project. This isn't necessary for many types of projects -- particularly
# things like Django apps don't need this. But it's a good idea since it fully-exercises the
# pyproject.toml and makes that if you add things like console-scripts at some point that
# they'll be installed and working.
- run: poetry install --no-interaction
- name: Clean dist directory
run: rm -rf dist
- name: Build Package
run: poetry build
- name: Publish to PyPI
env:
TWINE_USERNAME: __token__
TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
run: poetry run twine upload --repository pypi dist/*
run: poetry run twine upload --repository pypi dist/*

2
.github/workflows/update-openapi.yml vendored
View File

@@ -1,10 +1,8 @@
name: Update OpenAPI Specification
on:
workflow_dispatch:
schedule:
- cron: "0 0 * * *"
jobs:
update-openapi:
runs-on: ubuntu-latest

8
.github/workflows/version-bump.yml vendored
View File

@@ -1,9 +1,7 @@
name: Version Bump on Release
on:
release:
types: [published]
jobs:
update-version:
runs-on: ubuntu-latest
@@ -12,17 +10,14 @@ jobs:
pull-requests: write
steps:
- uses: actions/checkout@v4
- name: Extract version from release
id: get_version
run: |
VERSION=${GITHUB_REF#refs/tags/v}
echo "version=$VERSION" >> $GITHUB_OUTPUT
- name: Update version in pyproject.toml
run: |
sed -i "s/version = \".*\"/version = \"${{ steps.get_version.outputs.version }}\"/" pyproject.toml
- name: Create Pull Request
id: create-pr
uses: peter-evans/create-pull-request@v6
@@ -32,10 +27,9 @@ jobs:
body: "Auto-generated PR to update version in pyproject.toml"
branch: "version-bump/${{ steps.get_version.outputs.version }}"
delete-branch: true
- name: Enable Pull Request Automerge
if: steps.create-pr.outputs.pull-request-number
run: |
gh pr merge --auto --merge "${{ steps.create-pr.outputs.pull-request-number }}"
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}

26
.pre-commit-config.yaml
View File

@@ -36,7 +36,6 @@ repos:
^skyvern/client/.*|
^skyvern/__init__.py
)
- repo: https://github.com/pre-commit/pygrep-hooks
rev: v1.10.0
hooks:
@@ -44,7 +43,6 @@ repos:
- id: python-check-mock-methods
- id: python-no-log-warn
- id: python-use-type-annotations
- repo: https://github.com/pre-commit/mirrors-mypy
rev: v1.14.1
hooks:
@@ -65,7 +63,6 @@ repos:
^alembic.*|
^skyvern/client/.*
)
- repo: https://github.com/PyCQA/autoflake
rev: v2.3.1
hooks:
@@ -73,18 +70,18 @@ repos:
name: autoflake
entry: autoflake --in-place --remove-all-unused-imports --recursive --ignore-init-module-imports
language: python
types: [ python ]
types: [python]
exclude: |
(?x)(
^skyvern/client/.*
)
# Mono repo has bronken this TODO: fix
# - id: pytest-check
# name: pytest-check
# entry: pytest
# language: system
# pass_filenames: false
# always_run: true
# Mono repo has bronken this TODO: fix
# - id: pytest-check
# name: pytest-check
# entry: pytest
# language: system
# pass_filenames: false
# always_run: true
- repo: https://github.com/pre-commit/mirrors-prettier
rev: "v4.0.0-alpha.8" # Use the sha or tag you want to point at
hooks:
@@ -96,9 +93,12 @@ repos:
name: Alembic Check
entry: ./run_alembic_check.sh
language: script
stages: [ manual ]
stages: [manual]
- repo: https://github.com/koalaman/shellcheck-precommit
rev: v0.10.0
hooks:
- id: shellcheck
- repo: https://github.com/google/yamlfmt
rev: v0.17.0
hooks:
- id: yamlfmt

148
docker-compose.yml
View File

@@ -17,7 +17,6 @@ services:
interval: 5s
timeout: 5s
retries: 5
skyvern:
image: public.ecr.aws/skyvern/skyvern:latest
restart: on-failure
@@ -45,82 +44,80 @@ services:
# "C:\Program Files\Google\Chrome\Application\chrome.exe" --remote-debugging-port=9222 --user-data-dir="C:\chrome-cdp-profile" --no-first-run --no-default-browser-check
# /Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome --remote-debugging-port=9222 --user-data-dir="/Users/yourusername/chrome-cdp-profile" --no-first-run --no-default-browser-check
# - BROWSER_REMOTE_DEBUGGING_URL=http://host.docker.internal:9222/
# =========================
# LLM Settings - Recommended to use skyvern CLI, `skyvern init llm` to setup your LLM's
# =========================
# OpenAI Support:
# If you want to use OpenAI as your LLM provider, uncomment the following lines and fill in your OpenAI API key.
# - ENABLE_OPENAI=true
# - LLM_KEY=OPENAI_GPT4O
# - OPENAI_API_KEY=<your_openai_key>
# Gemini Support:
# Gemini is a new LLM provider that is currently in beta. You can use it by uncommenting the following lines and filling in your Gemini API key.
# - LLM_KEY=GEMINI
# - ENABLE_GEMINI=true
# - GEMINI_API_KEY=YOUR_GEMINI_KEY
# - LLM_KEY=GEMINI_2.5_PRO_PREVIEW_03_25
# If you want to use other LLM provider, like azure and anthropic:
# - ENABLE_ANTHROPIC=true
# - LLM_KEY=ANTHROPIC_CLAUDE3.5_SONNET
# - ANTHROPIC_API_KEY=<your_anthropic_key>
# Microsoft Azure OpenAI support:
# If you'd like to use Microsoft Azure OpenAI as your managed LLM service integration with Skyvern, use the environment variables below.
# In your Microsoft Azure subscription, you will need to provision the OpenAI service and deploy a model, in order to utilize it.
# 1. Login to the Azure Portal
# 2. Create an Azure Resource Group
# 3. Create an OpenAI resource in the Resource Group (choose a region and pricing tier)
# 4. From the OpenAI resource's Overview page, open the "Azure AI Foundry" portal (click the "Explore Azure AI Foundry Portal" button)
# 5. In Azure AI Foundry, click "Shared Resources" --> "Deployments"
# 6. Click "Deploy Model" --> "Deploy Base Model" --> select a model (specify this model "Deployment Name" value for the AZURE_DEPLOYMENT variable below)
# - ENABLE_AZURE=true
# - LLM_KEY=AZURE_OPENAI # Leave this value static, don't change it
# - AZURE_DEPLOYMENT=<your_azure_deployment> # Use the OpenAI model "Deployment Name" that you deployed, using the steps above
# - AZURE_API_KEY=<your_azure_api_key> # Copy and paste Key1 or Key2 from the OpenAI resource in Azure Portal
# - AZURE_API_BASE=<your_azure_api_base> # Copy and paste the "Endpoint" from the OpenAI resource in Azure Portal (eg. https://xyzxyzxyz.openai.azure.com/)
# - AZURE_API_VERSION=<your_azure_api_version> # Specify a valid Azure OpenAI data-plane API version (eg. 2024-08-01-preview) Docs: https://learn.microsoft.com/en-us/azure/ai-services/openai/reference
# Amazon Bedrock Support:
# Amazon Bedrock is a managed service that enables you to invoke LLMs and bill them through your AWS account.
# To use Amazon Bedrock as the LLM provider for Skyvern, specify the following environment variables.
# 1. In the AWS IAM console, create a new AWS IAM User (name it whatever you want)
# 2. Assign the "AmazonBedrockFullAccess" policy to the user
# 3. Generate an IAM Access Key under the IAM User's Security Credentials tab
# 4. In the Amazon Bedrock console, go to "Model Access"
# 5. Click Modify Model Access button
# 6. Enable "Claude 3.5 Sonnet v2" and save changes
# - ENABLE_BEDROCK=true
# - LLM_KEY=BEDROCK_ANTHROPIC_CLAUDE3.5_SONNET # This is the Claude 3.5 Sonnet "V2" model. Change to BEDROCK_ANTHROPIC_CLAUDE3.5_SONNET_V1 for the non-v2 version.
# - AWS_REGION=us-west-2 # Replace this with a different AWS region, if you desire
# - AWS_ACCESS_KEY_ID=FILL_ME_IN_PLEASE
# - AWS_SECRET_ACCESS_KEY=FILL_ME_IN_PLEASE
# Ollama Support:
# Ollama is a local LLM provider that can be used to run models locally on your machine.
# - LLM_KEY=OLLAMA
# - ENABLE_OLLAMA=true
# - OLLAMA_MODEL=qwen2.5:7b-instruct
# - OLLAMA_SERVER_URL=http://host.docker.internal:11434
# Open Router Support:
# - ENABLE_OPENROUTER=true
# - LLM_KEY=OPENROUTER
# - OPENROUTER_API_KEY=<your_openrouter_api_key>
# - OPENROUTER_MODEL=mistralai/mistral-small-3.1-24b-instruct
# Groq Support:
# - ENABLE_GROQ=true
# - LLM_KEY=GROQ
# - GROQ_API_KEY=<your_groq_api_key>
# - GROQ_MODEL=llama-3.1-8b-instant
# =========================
# LLM Settings - Recommended to use skyvern CLI, `skyvern init llm` to setup your LLM's
# =========================
# OpenAI Support:
# If you want to use OpenAI as your LLM provider, uncomment the following lines and fill in your OpenAI API key.
# - ENABLE_OPENAI=true
# - LLM_KEY=OPENAI_GPT4O
# - OPENAI_API_KEY=<your_openai_key>
# Gemini Support:
# Gemini is a new LLM provider that is currently in beta. You can use it by uncommenting the following lines and filling in your Gemini API key.
# - LLM_KEY=GEMINI
# - ENABLE_GEMINI=true
# - GEMINI_API_KEY=YOUR_GEMINI_KEY
# - LLM_KEY=GEMINI_2.5_PRO_PREVIEW_03_25
# If you want to use other LLM provider, like azure and anthropic:
# - ENABLE_ANTHROPIC=true
# - LLM_KEY=ANTHROPIC_CLAUDE3.5_SONNET
# - ANTHROPIC_API_KEY=<your_anthropic_key>
# Microsoft Azure OpenAI support:
# If you'd like to use Microsoft Azure OpenAI as your managed LLM service integration with Skyvern, use the environment variables below.
# In your Microsoft Azure subscription, you will need to provision the OpenAI service and deploy a model, in order to utilize it.
# 1. Login to the Azure Portal
# 2. Create an Azure Resource Group
# 3. Create an OpenAI resource in the Resource Group (choose a region and pricing tier)
# 4. From the OpenAI resource's Overview page, open the "Azure AI Foundry" portal (click the "Explore Azure AI Foundry Portal" button)
# 5. In Azure AI Foundry, click "Shared Resources" --> "Deployments"
# 6. Click "Deploy Model" --> "Deploy Base Model" --> select a model (specify this model "Deployment Name" value for the AZURE_DEPLOYMENT variable below)
# - ENABLE_AZURE=true
# - LLM_KEY=AZURE_OPENAI # Leave this value static, don't change it
# - AZURE_DEPLOYMENT=<your_azure_deployment> # Use the OpenAI model "Deployment Name" that you deployed, using the steps above
# - AZURE_API_KEY=<your_azure_api_key> # Copy and paste Key1 or Key2 from the OpenAI resource in Azure Portal
# - AZURE_API_BASE=<your_azure_api_base> # Copy and paste the "Endpoint" from the OpenAI resource in Azure Portal (eg. https://xyzxyzxyz.openai.azure.com/)
# - AZURE_API_VERSION=<your_azure_api_version> # Specify a valid Azure OpenAI data-plane API version (eg. 2024-08-01-preview) Docs: https://learn.microsoft.com/en-us/azure/ai-services/openai/reference
# Amazon Bedrock Support:
# Amazon Bedrock is a managed service that enables you to invoke LLMs and bill them through your AWS account.
# To use Amazon Bedrock as the LLM provider for Skyvern, specify the following environment variables.
# 1. In the AWS IAM console, create a new AWS IAM User (name it whatever you want)
# 2. Assign the "AmazonBedrockFullAccess" policy to the user
# 3. Generate an IAM Access Key under the IAM User's Security Credentials tab
# 4. In the Amazon Bedrock console, go to "Model Access"
# 5. Click Modify Model Access button
# 6. Enable "Claude 3.5 Sonnet v2" and save changes
# - ENABLE_BEDROCK=true
# - LLM_KEY=BEDROCK_ANTHROPIC_CLAUDE3.5_SONNET # This is the Claude 3.5 Sonnet "V2" model. Change to BEDROCK_ANTHROPIC_CLAUDE3.5_SONNET_V1 for the non-v2 version.
# - AWS_REGION=us-west-2 # Replace this with a different AWS region, if you desire
# - AWS_ACCESS_KEY_ID=FILL_ME_IN_PLEASE
# - AWS_SECRET_ACCESS_KEY=FILL_ME_IN_PLEASE
# Ollama Support:
# Ollama is a local LLM provider that can be used to run models locally on your machine.
# - LLM_KEY=OLLAMA
# - ENABLE_OLLAMA=true
# - OLLAMA_MODEL=qwen2.5:7b-instruct
# - OLLAMA_SERVER_URL=http://host.docker.internal:11434
# Open Router Support:
# - ENABLE_OPENROUTER=true
# - LLM_KEY=OPENROUTER
# - OPENROUTER_API_KEY=<your_openrouter_api_key>
# - OPENROUTER_MODEL=mistralai/mistral-small-3.1-24b-instruct
# Groq Support:
# - ENABLE_GROQ=true
# - LLM_KEY=GROQ
# - GROQ_API_KEY=<your_groq_api_key>
# - GROQ_MODEL=llama-3.1-8b-instant
# Maximum tokens to use: (only set for OpenRouter aand Ollama)
# - LLM_CONFIG_MAX_TOKENS=128000
# Maximum tokens to use: (only set for OpenRouter aand Ollama)
# - LLM_CONFIG_MAX_TOKENS=128000
# Bitwarden Settings
# If you are looking to integrate Skyvern with a password manager (eg Bitwarden), you can use the following environment variables.
# - BITWARDEN_SERVER=http://localhost # OPTIONAL IF YOU ARE SELF HOSTING BITWARDEN
# - BITWARDEN_SERVER_PORT=8002 # OPTIONAL IF YOU ARE SELF HOSTING BITWARDEN
# - BITWARDEN_CLIENT_ID=FILL_ME_IN_PLEASE
# - BITWARDEN_CLIENT_SECRET=FILL_ME_IN_PLEASE
# - BITWARDEN_MASTER_PASSWORD=FILL_ME_IN_PLEASE
# Bitwarden Settings
# If you are looking to integrate Skyvern with a password manager (eg Bitwarden), you can use the following environment variables.
# - BITWARDEN_SERVER=http://localhost # OPTIONAL IF YOU ARE SELF HOSTING BITWARDEN
# - BITWARDEN_SERVER_PORT=8002 # OPTIONAL IF YOU ARE SELF HOSTING BITWARDEN
# - BITWARDEN_CLIENT_ID=FILL_ME_IN_PLEASE
# - BITWARDEN_CLIENT_SECRET=FILL_ME_IN_PLEASE
# - BITWARDEN_MASTER_PASSWORD=FILL_ME_IN_PLEASE
depends_on:
postgres:
condition: service_healthy
@@ -129,7 +126,6 @@ services:
interval: 5s
timeout: 5s
retries: 5
skyvern-ui:
image: public.ecr.aws/skyvern/skyvern-ui:latest
restart: on-failure

208
fern/docs.yml
View File

@@ -62,90 +62,90 @@ tabs:
navigation:
- tab: home
layout:
- section: Getting Started
contents:
- page: Introduction
path: introduction.mdx
- page: Quickstart
path: getting-started/quickstart.mdx
- page: Skyvern In Action
path: getting-started/skyvern-in-action.mdx
- page: Task Prompting Guide
path: getting-started/prompting-guide.mdx
- section: Tasks
contents:
- page: Run Tasks
path: running-tasks/run-tasks.mdx
- page: Visualizing Results
path: running-tasks/visualizing-results.mdx
- page: Cancel Task Runs
path: running-tasks/cancel-runs.mdx
- page: Webhooks FAQ
path: running-tasks/webhooks-faq.mdx
- page: Advanced Settings for tasks
hidden: true
path: running-tasks/advanced-features.mdx
- page: Legacy Task APIs
hidden: true
path: running-tasks/api-spec.mdx
- section: Workflows
contents:
- page: Manage Workflows
path: workflows/manage-workflows.mdx
- page: Workflow Blocks
path: workflows/workflow-blocks-details.mdx
- page: Workflow Parameters
path: workflows/workflow-parameters.mdx
- page: Run Workflows
path: workflows/run-workflows.mdx
- page: Consistency and Reliability
path: workflows/consistent-workflows.mdx
- page: Running Workflows
path: workflows/running-workflows.mdx
hidden: true
- page: Introduction
path: workflows/introduction.mdx
hidden: true
- page: Workflow Blocks
path: workflows/workflow-blocks.mdx
hidden: true
- page: Creating Workflows
path: workflows/creating-workflows.mdx
hidden: true
- page: Getting Existing Workflows
path: workflows/getting-workflows.mdx
hidden: true
- page: What the heck is a parameter?
path: workflows/what-is-a-parameter.mdx
hidden: true
- section: Credentials
contents:
- page: Overview
path: credentials/introduction.mdx
- page: Password Management
path: credentials/passwords.mdx
- page: Credit Card Management
path: credentials/credit-cards.mdx
- page: 2FA Support (TOTP)
path: credentials/totp.mdx
- page: Bitwarden
path: credentials/bitwarden.mdx
- section: Browser Sessions (Beta)
contents:
- page: Introduction
path: browser-sessions/introduction.mdx
- section: Integrations
contents:
- page: Skyvern MCP
path: integrations/mcp.mdx
- page: Zapier
path: integrations/zapier.mdx
- page: Make
path: integrations/make.com.mdx
- page: N8N
path: integrations/n8n.mdx
- page: Workato
path: integrations/workato.mdx
- section: Getting Started
contents:
- page: Introduction
path: introduction.mdx
- page: Quickstart
path: getting-started/quickstart.mdx
- page: Skyvern In Action
path: getting-started/skyvern-in-action.mdx
- page: Task Prompting Guide
path: getting-started/prompting-guide.mdx
- section: Tasks
contents:
- page: Run Tasks
path: running-tasks/run-tasks.mdx
- page: Visualizing Results
path: running-tasks/visualizing-results.mdx
- page: Cancel Task Runs
path: running-tasks/cancel-runs.mdx
- page: Webhooks FAQ
path: running-tasks/webhooks-faq.mdx
- page: Advanced Settings for tasks
hidden: true
path: running-tasks/advanced-features.mdx
- page: Legacy Task APIs
hidden: true
path: running-tasks/api-spec.mdx
- section: Workflows
contents:
- page: Manage Workflows
path: workflows/manage-workflows.mdx
- page: Workflow Blocks
path: workflows/workflow-blocks-details.mdx
- page: Workflow Parameters
path: workflows/workflow-parameters.mdx
- page: Run Workflows
path: workflows/run-workflows.mdx
- page: Consistency and Reliability
path: workflows/consistent-workflows.mdx
- page: Running Workflows
path: workflows/running-workflows.mdx
hidden: true
- page: Introduction
path: workflows/introduction.mdx
hidden: true
- page: Workflow Blocks
path: workflows/workflow-blocks.mdx
hidden: true
- page: Creating Workflows
path: workflows/creating-workflows.mdx
hidden: true
- page: Getting Existing Workflows
path: workflows/getting-workflows.mdx
hidden: true
- page: What the heck is a parameter?
path: workflows/what-is-a-parameter.mdx
hidden: true
- section: Credentials
contents:
- page: Overview
path: credentials/introduction.mdx
- page: Password Management
path: credentials/passwords.mdx
- page: Credit Card Management
path: credentials/credit-cards.mdx
- page: 2FA Support (TOTP)
path: credentials/totp.mdx
- page: Bitwarden
path: credentials/bitwarden.mdx
- section: Browser Sessions (Beta)
contents:
- page: Introduction
path: browser-sessions/introduction.mdx
- section: Integrations
contents:
- page: Skyvern MCP
path: integrations/mcp.mdx
- page: Zapier
path: integrations/zapier.mdx
- page: Make
path: integrations/make.com.mdx
- page: N8N
path: integrations/n8n.mdx
- page: Workato
path: integrations/workato.mdx
- tab: api
layout:
- api: API Reference
@@ -154,37 +154,37 @@ navigation:
layout:
- section: Agent
contents:
- POST /v1/run/tasks
- GET /v1/runs/{run_id}
- POST /v1/runs/{run_id}/cancel
- POST /v1/runs/{run_id}/retry_webhook
- POST /v1/run/tasks
- GET /v1/runs/{run_id}
- POST /v1/runs/{run_id}/cancel
- POST /v1/runs/{run_id}/retry_webhook
- section: Workflows
contents:
- POST /v1/run/workflows
- GET /v1/workflows
- POST /v1/workflows
- POST /v1/workflows/{workflow_id}
- POST /v1/workflows/{workflow_id}/delete
- POST /v1/run/workflows
- GET /v1/workflows
- POST /v1/workflows
- POST /v1/workflows/{workflow_id}
- POST /v1/workflows/{workflow_id}/delete
- section: Artifacts
contents:
- GET /v1/artifacts/{artifact_id}
- GET /v1/artifacts/{artifact_id}
- section: Browser Session
contents:
- GET /v1/browser_sessions
- POST /v1/browser_sessions
- POST /v1/browser_sessions/{browser_session_id}/close
- GET /v1/browser_sessions/{browser_session_id}
- GET /v1/browser_sessions
- POST /v1/browser_sessions
- POST /v1/browser_sessions/{browser_session_id}/close
- GET /v1/browser_sessions/{browser_session_id}
- section: Credentials
contents:
- POST /v1/credentials/totp
- GET /v1/credentials
- POST /v1/credentials
- POST /v1/credentials/{credential_id}/delete
- GET /v1/credentials/{credential_id}
- POST /v1/credentials/totp
- GET /v1/credentials
- POST /v1/credentials
- POST /v1/credentials/{credential_id}/delete
- GET /v1/credentials/{credential_id}
- tab: blog
- tab: community
- tab: github
- tab: cloud
- tab: demo
experimental:
openapi-parser-v3: true
openapi-parser-v3: true

8
fern/generators.yml
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@@ -1,21 +1,17 @@
# yaml-language-server: $schema=https://schema.buildwithfern.dev/generators-yml.json
auth-schemes:
ApiKeyScheme:
header: x-api-key
type: string
name: x-api-key
api:
api:
auth: ApiKeyScheme
specs:
- openapi: openapi/skyvern_openapi.json
origin: https://api.skyvern.com/openapi.json
overrides: openapi/overrides.yml
settings:
settings:
title-as-schema-name: false
groups:
python-sdk:
generators:

2
fern/openapi/overrides.yml
View File

@@ -1,2 +1,2 @@
security:
- ApiKeyScheme: []
- ApiKeyScheme: []

1077
integrations/n8n/pnpm-lock.yaml generated
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