sockridge 0.1.0

Python SDK for the SockRidge agent registry

sockridge — Python SDK

Python SDK for the Sockridge agent registry.

Install

pip install git+https://github.com/Sockridge/sockridge.git#subdirectory=sdk/python

Or for local development:

git clone https://github.com/Sockridge/sockridge.git
pip install -e sockridge/sdk/python

Prerequisites

You need a publisher account before using the SDK. Set one up with the CLI:

# install CLI
go install github.com/Sockridge/sockridge/cli@latest

# register
sockridge auth keygen
sockridge auth register --handle yourhandle --server https://sockridge.com:9000
sockridge auth login --server https://sockridge.com:9000

This creates ~/.sockridge/credentials.json and ~/.sockridge/ed25519.key which the SDK reads automatically.

---

Usage

Connect

from sockridge import Registry

registry = Registry("https://sockridge.com:9000")
registry.login()  # reads ~/.sockridge/credentials.json

Custom credentials path:

registry.login(
    credentials_path="/custom/path/credentials.json",
    key_path="/custom/path/ed25519.key",
)

---

Publish an agent

from sockridge import Registry, AgentCard, Skill, Capabilities

registry = Registry("https://sockridge.com:9000")
registry.login()

card = AgentCard(
    name="My FHIR Agent",
    description="Analyzes lab trends from FHIR data using ML models",
    url="https://my-agent.example.com",
    version="1.0.0",
    skills=[
        Skill(
            id="fhir.lab.analyze",
            name="Lab Analyzer",
            description="Detects anomalies in lab result trends",
            tags=["fhir", "labs", "analysis"],
        )
    ],
    capabilities=Capabilities(streaming=True, tool_use=True),
)

published = registry.publish(card)
print(f"id: {published.id}")
print(f"status: {published.status}")  # PENDING → ACTIVE after gatekeeper

The agent goes through automatic validation after publish:

• Fields are checked (name, description, skills required)
• URL is pinged to verify the agent is running
• AI scores the card quality (0.0 - 1.0)
• Score >= 0.4 → AGENT_STATUS_ACTIVE

---

Self-register on startup

For agents that register themselves when they start:

registry = Registry("https://sockridge.com:9000")
published = registry.register_and_publish(card)
print(f"registered: {published.id}")

---

Search for agents

# by tag
agents = registry.search(tags=["fhir", "labs"])
for agent in agents:
    print(f"{agent.name} — {agent.id}")

# by natural language
results = registry.semantic_search("find me a lab result analyzer")
for r in results:
    print(f"{r['score']:.2f}  {r['agent'].name}")

# by ID
agent = registry.get_agent("agent-uuid-here")
print(agent.name, agent.skills)

---

Access agreements

Agents can only get each other's endpoint URLs after a mutual access agreement is approved by both publishers.

# request access from another publisher
agreement = registry.request_access(
    receiver_id="other-publisher-uuid",
    message="want to connect our agents for a healthcare pipeline",
)
print(f"agreement id: {agreement['id']}")
print(f"status: {agreement['status']}")  # AGREEMENT_STATUS_PENDING

# once they approve, get the shared key
# (they share it with you out of band, or you retrieve via get_agreement)

# resolve an agent's endpoint URL
result = registry.resolve_endpoint(
    agent_id="agent-uuid",
    shared_key="sk_abc123...",
)
print(f"url: {result['url']}")
print(f"transport: {result['transport']}")
print(f"skills: {[s.name for s in result['agent'].skills]}")

---

Full agreement flow

# publisher A requests access to publisher B
agreement = registry_a.request_access(
    receiver_id=publisher_b_id,
    message="building a medical pipeline",
)

# publisher B approves (on their side)
shared_key = registry_b.approve_access(agreement["id"])
# shared_key = "sk_abc123..."

# both sides can now resolve each other's agents
endpoint_a = registry_b.resolve_endpoint(agent_a_id, shared_key)
endpoint_b = registry_a.resolve_endpoint(agent_b_id, shared_key)

# either side can revoke
registry_a.revoke_access(agreement["id"])
# key is instantly invalid

---

API reference

Registry(server_url)

Method	Description
login(credentials_path?, key_path?)	Authenticate with Ed25519 challenge-response
publish(card)	Publish an AgentCard, returns card with server-assigned id
register_and_publish(card, ...)	Login + publish in one call
search(tags?, limit?)	List agents by tag. URL not included
semantic_search(query, top_k?, min_score?)	Natural language search
get_agent(agent_id)	Get a single agent by ID
request_access(receiver_id, message?)	Send mutual access request
approve_access(agreement_id)	Approve a pending request, returns shared key
resolve_endpoint(agent_id, shared_key)	Resolve agent URL using shared key

AgentCard

Field	Type	Required
name	str	✓
description	str	✓
url	str	✓
version	str	defaults to 0.1.0
protocol_version	str	defaults to 0.3.0
skills	list[Skill]	✓ at least one
capabilities	Capabilities	optional

Skill

Field	Type	Required
id	str	✓ (e.g. fhir.lab.analyze)
name	str	✓
description	str	✓
tags	list[str]	optional

Capabilities

Field	Type	Default
streaming	bool	False
push_notifications	bool	False
multi_turn	bool	False
tool_use	bool	False

---

Requirements

• Python 3.11+
• httpx[http2] — HTTP/2 client (required, server speaks h2c)
• cryptography — Ed25519 signing