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aitbc-agent-sdk (package-tests.yml): - Add AITBCAgent convenience class matching test expectations - Fix test_agent_sdk.py: was importing nonexistent AITBCAgent, now tests the real API (Agent.create, AgentCapabilities, to_dict) plus AITBCAgent - Fix 3 remaining mypy errors: supported_models Optional coercion (line 64), missing return types on _submit_to_marketplace/_update_marketplace_offer - Run black on all 5 src files — zero mypy errors, zero black warnings - All 6 tests pass python-tests.yml: - Add pynacl to pip install (aitbc-crypto and aitbc-sdk import nacl) - Add pynacl>=1.5.0 to root requirements.txt Service readiness (api-endpoint-tests.yml, integration-tests.yml): - Replace curl -sf with curl http_code check — -sf fails on 404 responses but port 8006 (blockchain RPC) returns 404 on / while being healthy - Blockchain RPC uses REST /rpc/* endpoints, not JSON-RPC POST to / Fix test_api_endpoints.py to test /health, /rpc/head, /rpc/info, /rpc/supply - Remove dead test_rpc() function, add blockchain RPC to perf tests - All 4 services now pass: coordinator, exchange, wallet, blockchain_rpc - Integration-tests: check is-active before systemctl start to avoid spurious warnings for already-running services Hardhat compile (smart-contract-tests.yml, package-tests.yml): - Relax engines field from >=24.14.0 to >=18.0.0 (CI has v24.13.0) - Remove 2>/dev/null from hardhat compile/test so errors are visible - Remove 2>/dev/null from npm run build/test in package-tests JS section
AITBC Agent SDK
The AITBC Agent SDK enables developers to create AI agents that can participate in the AITBC decentralized compute marketplace. Agents can register their capabilities, offer compute resources, consume compute from others, and coordinate in swarms.
Installation
pip install -e .[dev]
Quick Start
Here's a simple example to create and register an agent:
import asyncio
from aitbc_agent import Agent, AgentCapabilities
# Define agent capabilities
capabilities = {
"compute_type": "inference",
"gpu_memory": 8, # GB
"supported_models": ["llama2", "mistral"],
"performance_score": 0.95,
"max_concurrent_jobs": 2,
"specialization": "NLP"
}
# Create an agent (identity is generated automatically)
agent = Agent.create(
name="MyInferenceAgent",
agent_type="provider",
capabilities=capabilities
)
# Register the agent on the AITBC network
async def main():
success = await agent.register()
if success:
print(f"Agent {agent.identity.id} registered with address {agent.identity.address}")
asyncio.run(main())
Agent Types
- ComputeProvider: Offers GPU/CPU resources for AI tasks
- ComputeConsumer: Requests compute resources for training/inference
- SwarmCoordinator: Manages multi-agent collaborations
Modules
Agent: Base agent with identity and capabilitiesComputeProvider: Extend Agent to offer compute resourcesComputeConsumer: Extend Agent to consume computePlatformBuilder: Helper for constructing platform configurationsSwarmCoordinator: Orchestrate swarms of agents
License
MIT