agent-identity-registry 0.3.0

Python SDK + CLI for the Agent Identity Registry (AIR) — agentidentityregistry.org

agent-identity-registry

Async Python SDK + air CLI for the Agent Identity Registry (AIR).

AIR is a W3C-aligned identity layer for AI agents: every agent gets a stable identifier (AIR-XXXX-XXXX-XXXX), a public-key-backed DID document, and a graduated trust score that counterparties can verify before transacting.

Install

pip install agent-identity-registry

Requires Python 3.10+. Installs both the Python SDK and the air command-line tool.

air CLI

Pretty terminal access to every public endpoint — useful for demos, scripting, and exploration.

air health                           # Check registry liveness
air list                             # List agents (sorted by trust score)
air list --limit 5                   # Paginate
air lookup AIR-XXXX-XXXX-XXXX        # Full agent record
air score AIR-XXXX-XXXX-XXXX         # Trust-score breakdown with bar chart
air did-doc AIR-XXXX-XXXX-XXXX       # W3C DID Core JSON-LD
air check WeatherBot                 # Is this name taken?
air register --name MyBot --public-key <ed25519-base64url> --open-source

Global flags:

Flag	Effect
--json	Output raw JSON instead of human-friendly format (for scripting)
--base-url URL	Point at a different registry (also AIR_BASE_URL env var)
--no-color	Disable ANSI color codes (also NO_COLOR env var)

Exit codes: 0 on success, 1 on AIR-level error (404, rate-limit, server error, network failure — friendly message printed to stderr), 2 on usage error (argparse).

Quick start

import asyncio
from agent_identity_registry import AIRClient

async def main():
    async with AIRClient() as client:
        # Public lookup — no auth
        agent = await client.get_agent("AIR-XXXX-XXXX-XXXX")
        print(agent.name, agent.trust_score, agent.trust_grade)

        # Trust-score breakdown (5 components)
        score = await client.get_trust_score("AIR-XXXX-XXXX-XXXX")
        print(score.components.provenance, score.components.behavioral)

        # W3C DID document (publicKeyMultibase + service endpoints)
        did_doc = await client.get_did_document("AIR-XXXX-XXXX-XXXX")
        print(did_doc.id, did_doc.verification_method[0].public_key_multibase)

asyncio.run(main())

Register a new agent

Returns an agent_secret you must store yourself — it's shown only once and is required for later updates.

async with AIRClient() as client:
    result = await client.register_agent(
        name="WeatherBot",
        description="Forecasts weather in 70 cities",
        public_key="...43-char-base64url-Ed25519-key...",  # AIR will mint a did:wba
        creator_type="individual",
        capabilities=["weather", "forecast"],
        open_source=True,
        code_repository="https://github.com/example/weatherbot",
    )

    print(result.air_id)          # AIR-XXXX-XXXX-XXXX
    print(result.agent_secret)    # SAVE THIS — required for PUT
    print(result.air_minted_did)  # True if AIR minted a did:wba

Update an agent

Pass the secret you stored at registration.

async with AIRClient() as client:
    update = await client.update_agent(
        air_id="AIR-XXXX-XXXX-XXXX",
        agent_secret="...32-char-hex-secret-from-registration...",
        description="Updated description",
        capabilities=["weather", "forecast", "alerts"],
    )
    print(update.trust_score)  # Recalculated after update

Errors

All errors derive from AirError:

Status	Exception	Notes
400	ValidationError	Bad input (invalid public_key, missing required field)
401 / 403	AuthenticationError	Missing/invalid agent_secret or admin key
404	AgentNotFoundError	Unknown AIR ID
409	ConflictError	Rare ID collision — retry registration
429	RateLimitedError	Exposes retry_after_seconds
5xx	ServerError	Upstream registry issue
connection failures	NetworkError	httpx layer (timeout, DNS, TLS)

from agent_identity_registry import AIRClient, AgentNotFoundError, RateLimitedError

async with AIRClient() as client:
    try:
        agent = await client.get_agent("AIR-DOES-NOTX-IST0")
    except AgentNotFoundError as e:
        print(f"No such agent: {e.air_id}")
    except RateLimitedError as e:
        print(f"Slow down. Retry in {e.retry_after_seconds}s")

Retries

Since v0.3, the SDK retries transient failures automatically — 3 attempts with exponential backoff and jitter. Retries cover 429, 502, 503, 504, and network errors on idempotent methods (GET, PUT, DELETE).

Network errors on POST /agents/register are not retried by default — a partial network failure could otherwise create duplicate registrations. The register_agent call still retries when the server returns a retryable response (503, 429) because in that case the server clearly did not accept the request.

When Retry-After is present (e.g. on 429), the SDK respects it instead of its own backoff.

from agent_identity_registry import AIRClient, RetryConfig

# Default — works for most callers, no setup needed
async with AIRClient() as client:
    await client.get_health()

# Tune the policy
async with AIRClient(retry_config=RetryConfig(max_retries=5, base_delay=1.0)) as client:
    await client.get_health()

# Disable retries entirely (v0.2 behavior)
async with AIRClient(retry_config=None) as client:
    await client.get_health()

RetryConfig is a frozen dataclass — all fields are constructor-only. Knobs: max_retries, base_delay, max_delay, backoff_multiplier, jitter, retry_on_status, idempotent_only.

License

Apache 2.0 — see the registry repo for full text.