Developer Hub
Technical documentation for developers integrating with, extending, or building on AgenticFlow.
API Reference
Complete REST API documentation for AgenticFlow.
What you can do:
Create and manage agents programmatically
Execute workflows via API
Deploy and control workforce teams
Manage data and knowledge bases
Access platform resources
Monitor and track usage
API key generation, JWT tokens, OAuth flows, and security best practices.
Core Resources
Agents API - Create, configure, and deploy agents
Workflows API - Build and execute workflows
Webhooks & Events - Webhook Guide
Receive real-time events from AgenticFlow:
Agent conversation events
Workflow execution status
Workforce team updates
System notifications
API quotas, throttling, and best practices for high-volume usage.
Ready-to-use code samples in multiple languages:
Python
JavaScript/TypeScript
cURL
Go
Ruby
SDKs & Libraries
Official SDKs
Python SDK - Full-featured Python library
JavaScript/TypeScript SDK - Node.js and browser support
Go SDK - For Go applications
Ruby SDK - Ruby integration
Community Libraries
Community-maintained libraries and wrappers
Language-specific helpers
Framework integrations
Extensions & Plugins
Custom Nodes
Coming soon: custom node development guides and publishing steps.
Plugins
Coming soon: plugin architecture and marketplace guidelines.
Themes
Coming soon: UI customization and branding guidance.
Platform Architecture
Understanding how AgenticFlow works:
System architecture
Component interaction
Data flow
Security model
Detailed technical information:
Infrastructure
Scalability
Performance
Security measures
Integration Patterns
Common Use Cases
Embed Agents in Your Application
const agent = await agenticflow.agents.create({
name: "Support Assistant",
systemPrompt: "You are a helpful support agent...",
model: "claude-3-5-sonnet"
});
const response = await agent.chat("How do I reset my password?");Execute Workflows Programmatically
workflow = client.workflows.execute(
workflow_id="workflow_123",
inputs={"email": "[email protected]"}
)
result = workflow.wait_for_completion()Deploy Multi-Agent Teams
const team = await client.workforce.deploy({
name: "Customer Service Team",
agents: [triageAgent, techAgent, billingAgent],
router: routingLogic
});
const result = await team.process(customerInquiry);Development Tools
Local Development
Development environment setup
Local testing tools
Debugging techniques
Hot reloading
Testing
Unit testing agents and workflows
Integration testing
End-to-end testing
Performance testing
CI/CD Integration
Automated deployment
Version control
Testing pipelines
Rollback strategies
Best Practices
API Usage
Authentication: Always use secure API key storage
Error Handling: Implement proper retry logic and error handling
Rate Limiting: Respect rate limits and implement backoff
Versioning: Use API versioning for stability
Monitoring: Track API usage and performance
Performance Optimization
Caching: Cache responses when appropriate
Batch Operations: Use batch endpoints for bulk operations
Async Processing: Leverage webhooks for long-running tasks
Connection Pooling: Reuse connections where possible
Security
API Keys: Rotate regularly, never commit to version control
Permissions: Use principle of least privilege
Data Encryption: Always use HTTPS
Input Validation: Validate all inputs
Output Sanitization: Sanitize outputs to prevent XSS
SDK Examples
Python SDK
from agenticflow import AgenticFlowClient
# Initialize client
client = AgenticFlowClient(api_key="your_api_key")
# Create an agent
agent = client.agents.create(
name="Research Assistant",
system_prompt="You are a research assistant specialized in...",
model="claude-3-5-sonnet",
knowledge_bases=["kb_123"],
tools=["google_search", "wikipedia"]
)
# Chat with the agent
response = agent.chat("What are the latest developments in AI?")
print(response.message)JavaScript SDK
import { AgenticFlowClient } from '@agenticflow/sdk';
// Initialize client
const client = new AgenticFlowClient({
apiKey: process.env.AGENTICFLOW_API_KEY
});
// Execute workflow
const workflow = await client.workflows.execute({
workflowId: 'workflow_123',
inputs: {
data: 'process this'
}
});
// Wait for completion
const result = await workflow.waitForCompletion();
console.log(result.outputs);Webhook Integration
Setting Up Webhooks
// Register webhook endpoint
await client.webhooks.create({
url: 'https://your-app.com/webhooks/agenticflow',
events: [
'agent.conversation.completed',
'workflow.execution.failed',
'workforce.team.finished'
],
secret: 'your_webhook_secret'
});
// Handle webhook in your app
app.post('/webhooks/agenticflow', (req, res) => {
const signature = req.headers['x-agenticflow-signature'];
const payload = req.body;
// Verify signature
if (verifySignature(payload, signature, webhookSecret)) {
handleEvent(payload);
res.sendStatus(200);
} else {
res.sendStatus(401);
}
});GraphQL API
GraphQL Endpoint
AgenticFlow also provides a GraphQL API for more flexible queries.
query {
agent(id: "agent_123") {
name
systemPrompt
conversations(limit: 10) {
id
messages {
role
content
}
}
}
}
mutation {
createWorkflow(input: {
name: "Data Pipeline"
nodes: [...]
connections: [...]
}) {
id
name
}
}Error Handling
Common Error Codes
400 Bad Request: Invalid request parameters
401 Unauthorized: Invalid or missing API key
403 Forbidden: Insufficient permissions
404 Not Found: Resource doesn't exist
429 Too Many Requests: Rate limit exceeded
500 Internal Server Error: Server error
503 Service Unavailable: Temporary service issue
Error Response Format
{
"error": {
"code": "invalid_request",
"message": "The provided workflow configuration is invalid",
"details": {
"field": "nodes",
"issue": "Missing required connection"
}
}
}Versioning
API Versions
Current Version: v1
Deprecated Versions: None yet
Version Strategy: Semantic versioning
Breaking Changes: 6-month deprecation notice
Specifying Version
curl -H "AgenticFlow-Version: 2024-11-01" \
-H "Authorization: Bearer $API_KEY" \
https://api.agenticflow.com/v1/agentsOpenAPI Specification
Download the complete OpenAPI (Swagger) specification:
Support for Developers
Developer Resources
Getting Help
Related Documentation
Agents - Agent system overview
Workflows - Workflow automation
Workforce - Multi-agent teams
Integrations - MCP integrations
Enterprise - Enterprise features
Learn More
Ready to start building? Explore the API Reference →
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