Python SDK for the LLM Conveyors AI Agent Platform API
Project description
LLM Conveyors Python SDK
Official Python SDK for the LLM Conveyors AI Agent Platform API.
Installation
pip install llmconveyors
Quick Start
from llmconveyors import LLMConveyors
# Uses LLMCONVEYORS_API_KEY env var, or pass api_key= directly
client = LLMConveyors(api_key="llmc_...")
# Generate with streaming
result = client.agents.run(
"job-hunter",
{
"companyName": "Acme Corp",
"jobTitle": "Senior Engineer",
"companyWebsite": "https://acme.com",
"contactEmail": "hiring@acme.com",
"genericEmail": "info@acme.com",
"jobSourceUrl": "https://acme.com/careers",
},
on_progress=lambda e: print(f"[{e.step}] {e.percent}%"),
)
print(f"Success: {result.success}, Artifacts: {len(result.artifacts)}")
Async Usage
import asyncio
from llmconveyors import AsyncLLMConveyors
async def main():
async with AsyncLLMConveyors() as client:
result = await client.agents.run(
"b2b-sales",
{
"companyName": "Target Corp",
"companyWebsite": "https://target.com",
"skipResearchCache": False,
},
)
print(result.artifacts)
asyncio.run(main())
Features
- Sync + Async clients with identical APIs
- 15 resource namespaces: agents, stream, sessions, upload, resume, ats, settings, privacy, auth, documents, logging, health, content, shares, referral
- SSE streaming via generators (sync) and async generators
- High-level
run()method — generate + stream + interact in one call poll()method for non-streaming environments- Typed exceptions for all 17 API error codes
- Automatic retry with exponential backoff and jitter
- Webhook verification with HMAC-SHA256 and constant-time comparison
- Pydantic v2 models for all request/response types
Webhook Verification
from llmconveyors import construct_event
event = construct_event(
payload=request.body, # raw bytes
sig_header=request.headers["X-Webhook-Signature"],
secret="your_webhook_secret",
)
Documentation
License
MIT
Project details
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