Block Creation with SDK
This guide explains how to create new blocks for the AutoGPT Platform using the SDK pattern with advanced features.
Overview
Blocks are reusable components that perform specific tasks in AutoGPT workflows. They can integrate with external services, process data, or perform any programmatic operation.
Basic Structure
1. Create Provider Configuration
First, create a _config.py file to configure your provider using the ProviderBuilder:
from backend.sdk import BlockCostType, ProviderBuilder
# Simple API key provider
my_provider = (
ProviderBuilder("my_provider")
.with_api_key("MY_PROVIDER_API_KEY", "My Provider API Key")
.with_base_cost(1, BlockCostType.RUN)
.build()
)For OAuth providers:
from backend.sdk import BlockCostType, ProviderBuilder
from ._oauth import MyProviderOAuthHandler
my_provider = (
ProviderBuilder("my_provider")
.with_oauth(
MyProviderOAuthHandler,
scopes=["read", "write"],
client_id_env_var="MY_PROVIDER_CLIENT_ID",
client_secret_env_var="MY_PROVIDER_CLIENT_SECRET",
)
.with_base_cost(1, BlockCostType.RUN)
.build()
)2. Create the Block Class
Create your block file (e.g., my_block.py):
import uuid
from backend.sdk import (
APIKeyCredentials,
Block,
BlockCategory,
BlockOutput,
BlockSchema,
BlockSchemaInput,
BlockSchemaOutput,
CredentialsMetaInput,
SchemaField,
)
from ._config import my_provider
class MyBlock(Block):
class Input(BlockSchemaInput):
# Define input fields
credentials: CredentialsMetaInput = my_provider.credentials_field(
description="API credentials for My Provider"
)
query: str = SchemaField(description="The query to process")
limit: int = SchemaField(
description="Number of results",
default=10,
ge=1, # Greater than or equal to 1
le=100 # Less than or equal to 100
)
advanced_option: str = SchemaField(
description="Advanced setting",
default="",
advanced=True # Hidden by default in UI
)
class Output(BlockSchemaOutput):
# Define output fields
results: list = SchemaField(description="List of results")
count: int = SchemaField(description="Total count")
# error output pin is already defined on BlockSchemaOutput
def __init__(self):
super().__init__(
id=str(uuid.uuid4()), # Generate unique ID
description="Brief description of what this block does",
categories={BlockCategory.SEARCH}, # Choose appropriate categories
input_schema=self.Input,
output_schema=self.Output,
)
async def run(
self,
input_data: Input,
*,
credentials: APIKeyCredentials,
**kwargs
) -> BlockOutput:
try:
# Your block logic here
results = await self.process_data(
input_data.query,
input_data.limit,
credentials
)
# Yield outputs
yield "results", results
yield "count", len(results)
except Exception as e:
yield "error", str(e)
async def process_data(self, query, limit, credentials):
# Implement your logic
# Use credentials.api_key.get_secret_value() to access the API key
passKey Components Explained
Provider Configuration
The ProviderBuilder allows you to: - .with_api_key(): Add API key authentication - .with_oauth(): Add OAuth authentication
- .with_base_cost(): Set resource costs for the block - .with_webhook_manager(): Add webhook support - .with_user_password(): Add username/password auth
Block Schema
Input/Output classes: Define the data structure using
BlockSchemaSchemaField: Define individual fields with validation
CredentialsMetaInput: Special field for handling credentials
Block Implementation
Unique ID: Generate using
uuid.uuid4()Categories: Choose from
BlockCategoryenum (e.g., SEARCH, AI, PRODUCTIVITY)async run(): Main execution method that yields outputs
Error handling: Error output pin is already defined on BlockSchemaOutput
Advanced Features
Testing
Add test configuration to your block:
def __init__(self):
super().__init__(
# ... other config ...
test_input={
"query": "test query",
"limit": 5,
"credentials": {
"provider": "my_provider",
"id": str(uuid.uuid4()),
"type": "api_key"
}
},
test_output=[
("results", ["result1", "result2"]),
("count", 2)
],
test_mock={
"process_data": lambda *args, **kwargs: ["result1", "result2"]
}
)OAuth Support
Create an OAuth handler in _oauth.py:
from backend.integrations.oauth.base import BaseOAuthHandler
class MyProviderOAuthHandler(BaseOAuthHandler):
PROVIDER_NAME = "my_provider"
def _get_authorization_url(self, scopes: list[str], state: str) -> str:
# Implementation
pass
def _exchange_code_for_token(self, code: str, scopes: list[str]) -> dict:
# Implementation
passWebhook Support
Create a webhook manager in _webhook.py:
from backend.integrations.webhooks._base import BaseWebhooksManager
class MyProviderWebhookManager(BaseWebhooksManager):
PROVIDER_NAME = "my_provider"
async def validate_event(self, event: dict) -> bool:
# Implementation
passFile Organization
backend/blocks/my_provider/
├── __init__.py # Export your blocks
├── _config.py # Provider configuration
├── _oauth.py # OAuth handler (optional)
├── _webhook.py # Webhook manager (optional)
├── _api.py # API client wrapper (optional)
├── models.py # Data models (optional)
└── my_block.py # Block implementationsBest Practices
Error Handling: Error output pin is already defined on BlockSchemaOutput
Credentials: Use the provider's
credentials_field()methodValidation: Use SchemaField constraints (ge, le, min_length, etc.)
Categories: Choose appropriate categories for discoverability
Advanced Fields: Mark complex options as
advanced=TrueAsync Operations: Use
async/awaitfor I/O operationsAPI Clients: Use
Requests()from SDK or external librariesTesting: Include test inputs/outputs for validation
Common Patterns
Making API Requests
from backend.sdk import Requests
async def run(self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs):
headers = {
"Authorization": f"Bearer {credentials.api_key.get_secret_value()}",
"Content-Type": "application/json"
}
response = await Requests().post(
"https://api.example.com/endpoint",
headers=headers,
json={"query": input_data.query}
)
data = response.json()
yield "results", data.get("results", [])Multiple Auth Types
async def run(
self,
input_data: Input,
*,
credentials: OAuth2Credentials | APIKeyCredentials,
**kwargs
):
if isinstance(credentials, OAuth2Credentials):
# Handle OAuth
token = credentials.access_token.get_secret_value()
else:
# Handle API key
token = credentials.api_key.get_secret_value()Testing Your Block
# Run all block tests
poetry run pytest backend/blocks/test/test_block.py -xvs
# Test specific block
poetry run pytest 'backend/blocks/test/test_block.py::test_available_blocks[MyBlock]' -xvsIntegration Checklist
Create provider configuration in
_config.pyImplement block class with Input/Output schemas
Generate unique block ID with
uuid.uuid4()Choose appropriate block categories
Implement
async run()methodHandle errors gracefully
Add test configuration
Export block in
__init__.pyTest the block
Document any special requirements
Example Blocks for Reference
Simple API:
/backend/blocks/firecrawl/- Basic API key authenticationOAuth + API:
/backend/blocks/linear/- OAuth and API key supportWebhooks:
/backend/blocks/exa/- Includes webhook manager
Study these examples to understand different patterns and approaches for building blocks.
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