On-chain multi-agent arbitration primitive. Debate or vote, the AI decides.
Project description
agora-arbitrator-sdk
On-chain multi-agent arbitration for LangGraph, CrewAI, and Python agent systems.
Agora decides whether a task should be resolved by structured debate or confidence-weighted voting, executes the selected mechanism, and returns a verifiable deliberation receipt.
Hosted and local results both expose the same Phase 2 telemetry contract: per-model tokens, input/output/thinking token splits when available, latency, and estimated USD cost.
Quickstart
pip install agora-arbitrator-sdk
Use the examples that match your runtime:
- Notebook / Colab: use top-level
await, but do not use top-levelasync withorasync for - Plain
.pyscript: wrap the async body inmain()and callasyncio.run(main())
Hosted API mode (notebook / Colab)
from agora.sdk import AgoraArbitrator
arbitrator = AgoraArbitrator(auth_token="agora_live_your_public_id.your_secret")
result = await arbitrator.arbitrate("Should we use microservices or a monolith?")
print(result.mechanism_used.value)
print(result.final_answer)
print(result.merkle_root)
await arbitrator.aclose()
Hosted streaming mode (notebook / Colab)
from agora.sdk import AgoraArbitrator
async def stream_events(arbitrator: AgoraArbitrator, task_id: str) -> None:
async for event in arbitrator.stream_task_events(task_id):
print(event)
arbitrator = AgoraArbitrator(auth_token="agora_live_your_public_id.your_secret")
created = await arbitrator.create_task(
"Should we use microservices or a monolith?",
mechanism="vote",
)
await arbitrator.start_task_run(created.task_id)
await stream_events(arbitrator, created.task_id)
result = await arbitrator.wait_for_task_result(created.task_id)
print(result.model_dump_json(indent=2))
await arbitrator.aclose()
Use wait_for_task_result() after streaming. It gives you the final result on
success and raises a structured SDK exception if the hosted task fails.
Hosted API mode (plain Python script)
import asyncio
from agora.sdk import AgoraArbitrator
async def main() -> None:
async with AgoraArbitrator(auth_token="agora_live_your_public_id.your_secret") as arbitrator:
result = await arbitrator.arbitrate("Should we use microservices or a monolith?")
print(result.mechanism_used.value)
print(result.final_answer)
print(result.merkle_root)
if __name__ == "__main__":
asyncio.run(main())
Local callable mode
from agora.sdk import AgoraArbitrator
async def agent_a(user_prompt: str) -> dict:
return {
"answer": "Modular monolith",
"confidence": 0.78,
"predicted_group_answer": "Modular monolith",
"reasoning": "Lower coordination overhead."
}
arbitrator = AgoraArbitrator(mechanism="vote", agent_count=3)
result = await arbitrator.arbitrate(
"What architecture should a three-engineer startup use?",
agents=[agent_a, agent_a, agent_a],
)
print(result.final_answer)
Local explicit model roster
from agora.sdk import (
AgoraArbitrator,
LocalDebateConfig,
LocalModelSpec,
LocalProviderKeys,
)
arbitrator = AgoraArbitrator(
mechanism="debate",
local_models=[
LocalModelSpec(provider="gemini", model="gemini-3-flash-preview"),
LocalModelSpec(provider="gemini", model="gemini-3.1-flash-lite-preview"),
LocalModelSpec(provider="anthropic", model="claude-sonnet-4-6"),
],
local_provider_keys=LocalProviderKeys(
gemini_api_key="your-gemini-key",
anthropic_api_key="your-anthropic-key",
openrouter_api_key="your-openrouter-key",
),
local_debate_config=LocalDebateConfig(
devils_advocate_model=LocalModelSpec(
provider="openrouter",
model="moonshotai/kimi-k2-thinking",
)
),
allow_offline_fallback=False,
)
result = await arbitrator.arbitrate(
"Should we start with a monolith or microservices?",
)
print(result.agent_models_used)
print(result.model_dump_json(indent=2))
Explicit local roster mode runs the exact model list you pass in roster order.
Do not combine auth_token= with local_models=. Every provider referenced in
local_models or devils_advocate_model must also have a key in
LocalProviderKeys.
LangGraph integration
from agora.sdk import AgoraNode
from langgraph.graph import StateGraph
graph = StateGraph(dict)
graph.add_node(
"deliberate",
AgoraNode(strict_verification=True),
)
For long-lived LangGraph workers or repeated node construction, close the wrapped HTTP client explicitly:
async with AgoraNode() as agora_node:
state = await agora_node({"task": "Pick the safer deployment plan."})
Features
- Thompson Sampling mechanism selection with explainable reasoning
- Factional debate with LangGraph execution and Devil's Advocate cross-examination
- Confidence-calibrated vote aggregation with ISP weighting
- Merkle-verifiable transcript receipts
- Per-model telemetry and estimated USD cost in hosted and local modes
- Optional hosted API mode, local callable mode, and explicit local model rosters
Authentication
- Dashboard users authenticate with WorkOS-issued bearer tokens.
- SDK, CI, notebooks, and server-side callers should use first-party Agora API keys.
- Hosted mode keeps the same
auth_token=interface, but the token should be an Agora API key such asagora_live_<public_id>.<secret>oragora_test_<public_id>.<secret>in non-production environments. - Strict hosted E2E should use a real staging API key, not a fabricated JWT.
Hosted API URL policy
Hosted SDK calls resolve the canonical Cloud Run backend automatically. Do not pass a manual
hosted URL in normal usage. For internal testing only, set AGORA_ALLOW_API_URL_OVERRIDE=1
and AGORA_API_URL=https://your-dev-backend.example.com before constructing the SDK.
Verification Controls
AgoraArbitratordefaults to 4-agent hosted execution, the canonical Cloud Run API URL, and strict receipt verification.AgoraNodesupportsstrict_verification,solana_wallet, and async cleanup pass-through for parity withAgoraArbitrator.- Set
strict_verification=Falseonly when intentionally opting into lenient verification behavior.
Maintainer Release Notes
- Current release process is documented in
../docs/release-operations.md. - Current package target is
agora-arbitrator-sdk==0.1.0a2. - This cycle keeps PyPI publish manual while documenting the next-cycle automation plan.
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