lindoai 1.0.6

Python SDK for the Lindo API

lindo-sdk

Python SDK for the Lindo API. Provides both synchronous and asynchronous clients for interacting with AI agents, workflows, workspace management, and analytics.

Installation

pip install lindo-sdk

Requirements

• Python 3.8 or higher
• httpx

Quick Start

Synchronous Client

from lindo_sdk import LindoClient

client = LindoClient(api_key="your-api-key")

# Run an agent
result = client.agents.run(
    agent_id="my-agent",
    input={"prompt": "Hello!"}
)

# Start a workflow
workflow = client.workflows.start(
    workflow_name="publish-page",
    params={"page_id": "page-123"}
)

# Get workspace credits
credits = client.workspace.get_credits()

# Get analytics
analytics = client.analytics.get_workspace(
    from_date="2024-01-01",
    to_date="2024-01-31"
)

# Close the client when done
client.close()

Using Context Manager

from lindo_sdk import LindoClient

with LindoClient(api_key="your-api-key") as client:
    result = client.agents.run(
        agent_id="my-agent",
        input={"prompt": "Hello!"}
    )

Asynchronous Client

import asyncio
from lindo_sdk import AsyncLindoClient

async def main():
    async with AsyncLindoClient(api_key="your-api-key") as client:
        # Run an agent
        result = await client.agents.run(
            agent_id="my-agent",
            input={"prompt": "Hello!"}
        )
        
        # Start a workflow
        workflow = await client.workflows.start(
            workflow_name="publish-page",
            params={"page_id": "page-123"}
        )
        
        # Get workspace credits
        credits = await client.workspace.get_credits()

asyncio.run(main())

Configuration

client = LindoClient(
    api_key="your-api-key",           # Required
    base_url="https://api.lindo.ai",  # Optional, defaults to https://api.lindo.ai
    timeout=30.0,                      # Optional, defaults to 30.0 seconds
)

API Reference

Agents

Run AI agents with custom inputs.

# Run an agent
result = client.agents.run(
    agent_id="my-agent",
    input={"prompt": "Hello!"},
    stream=False  # Optional: enable streaming
)

print(result.success)       # bool
print(result.output)        # Agent output
print(result.credits_used)  # Credits consumed

Workflows

Manage long-running workflows.

# Start a workflow
workflow = client.workflows.start(
    workflow_name="publish-page",
    params={"page_id": "page-123"}
)
print(workflow.instance_id)  # Workflow instance ID

# Start multiple workflows in batch
batch = client.workflows.batch_start(
    workflow_name="publish-page",
    items=[
        {"params": {"page_id": "page-1"}},
        {"params": {"page_id": "page-2"}},
    ]
)

# Get workflow status
status = client.workflows.get_status("instance-123")
print(status.status)  # 'queued', 'running', 'paused', 'completed', 'failed', 'terminated'

# Pause a workflow
client.workflows.pause("instance-123")

# Resume a workflow
client.workflows.resume("instance-123")

# Terminate a workflow
client.workflows.terminate("instance-123")

Workspace

Manage workspace resources.

# Get credit balance
credits = client.workspace.get_credits()
print(credits.balance)     # Current balance
print(credits.allocated)   # Total allocated
print(credits.used)        # Total used

Analytics

Access workspace and website analytics.

# Get workspace analytics
workspace_analytics = client.analytics.get_workspace(
    from_date="2024-01-01",  # Optional
    to_date="2024-01-31"     # Optional
)
print(workspace_analytics.total_views)
print(workspace_analytics.unique_visitors)

# Get website analytics
website_analytics = client.analytics.get_website(
    from_date="2024-01-01",
    to_date="2024-01-31"
)
print(website_analytics.top_pages)

Error Handling

The SDK provides custom exception classes for common error scenarios:

from lindo_sdk import (
    LindoClient,
    AuthenticationError,
    RateLimitError,
    NotFoundError,
    ValidationError,
    ServerError,
)

try:
    result = client.agents.run(
        agent_id="my-agent",
        input={}
    )
except AuthenticationError:
    # Invalid or expired API key (401)
    print("Please check your API key")
except RateLimitError as e:
    # Too many requests (429)
    print(f"Rate limited. Retry after {e.retry_after} seconds")
except NotFoundError:
    # Resource not found (404)
    print("Agent not found")
except ValidationError as e:
    # Invalid request (400)
    print(f"Validation errors: {e.errors}")
except ServerError:
    # Server error (5xx)
    print("Server error, please try again later")

Exception Classes

Exception	HTTP Status	Description
AuthenticationError	401	Invalid or expired API key
ForbiddenError	403	Insufficient permissions
NotFoundError	404	Resource not found
ValidationError	400	Invalid request parameters
RateLimitError	429	Too many requests
ServerError	5xx	Internal server error
NetworkError	-	Network connection failed
TimeoutError	-	Request timed out

Types

The SDK uses dataclasses with type hints for all request and response types:

from lindo_sdk import (
    # Agent types
    AgentRunRequest,
    AgentRunResponse,
    
    # Workflow types
    WorkflowStartRequest,
    WorkflowStartResponse,
    WorkflowBatchStartRequest,
    WorkflowBatchStartResponse,
    WorkflowStatus,
    WorkflowActionResponse,
    
    # Workspace types
    WorkspaceCredits,
    
    # Analytics types
    AnalyticsQuery,
    WorkspaceAnalytics,
    WebsiteAnalytics,
)

Serialization

All dataclasses support to_dict() and from_dict() methods:

from lindo_sdk import AgentRunRequest

# Create from dict
request = AgentRunRequest.from_dict({
    "agent_id": "my-agent",
    "input": {"prompt": "Hello!"}
})

# Convert to dict
data = request.to_dict()

Development

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run type checking
mypy lindo_sdk

# Run linting
ruff check lindo_sdk

License

MIT