🤖 👥 Agent Teams
The Datalayer orchestration extension
agent_teams.a2a (Python) and @datalayer/agent-teams (TypeScript)
implement the Datalayer orchestration
extension — an optional
A2A extension that lets a worker and an orchestrator say the things about
delegated work that A2A leaves unsaid: which execution a delegation is
part of and where it sits in its tree, a budget to decline before
exceeding, a checkpoint to resume from, and instructions delivered to a
turn already in progress.
from agent_teams.a2a import ExecutionRef, build_delegation_meta
meta = build_delegation_meta(
ExecutionRef(execution_id="exec_1", root_execution_id="exec_1", depth=0),
budget={"outputTokens": 4000},
)
import { buildDelegationMeta } from '@datalayer/agent-teams';
const meta = buildDelegationMeta(
{ executionId: 'exec_1', rootExecutionId: 'exec_1', depth: 0 },
{ budget: { outputTokens: 4000 } },
);
Nothing here requires the rest of this package, and nothing here imports
Datalayer's own platform — agent_teams.a2a.orchestration_extension and
@datalayer/agent-teams's src/orchestrationExtension.ts are each a
standalone module (Python built on fasta2a alone; TypeScript with zero
runtime dependencies at all) implementing the identical wire shape, field
for field. A worker implementing none of it still runs; see the normative
specification and its JSON Schema at
docs/extension-v1.md
for the full field-by-field contract both modules implement.
This is distinct from agent_teams.a2a.extensions' own
team-coordination extension (https://datalayer.io/ext/team-coordination/v1)
— member assignment, task dependencies, health and reactions for a team's
own internal coordination. The two extensions are independent and
separately negotiated; a card may advertise either, both, or neither.
A reference worker, and a public conformance suite
agent_teams.a2a.reference_worker is the smallest thing that speaks the
extension correctly: no model, no framework beyond fasta2a, no Datalayer
control plane. Run it standalone —
python -m agent_teams.a2a.reference_worker # serves on :8000
— point any A2A client at it, and its card advertises the extension. It
answers a turn with what it "spent" (a character count, not a model call,
so this needs no API key), declines a delegation whose budget already
reads outputTokens: 0 naming the limit, and answers a pause request by
ending the turn at a checkpoint it makes up on the spot.
tests/test_reference_worker_conformance.py drives it over real ASGI HTTP
(httpx.ASGITransport, no socket) with hand-built JSON-RPC requests
matching docs/extension-v1.md's documented wire shapes — negotiation, a
declined budget, pause and resume — runnable by anyone against their own
worker, with no Datalayer service in the loop.
Release files for agent-teams 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| agent_teams-0.0.7.tar.gz | 750.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| agent_teams-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 834.5 kB
Release files / agent_teams-0.0.7.tar.gz
| Download URL | agent_teams-0.0.7.tar.gz |
|---|---|
| Size | 750.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Download URL | agent_teams-0.0.7-py3-none-any.whl |
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| Size | 83.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 26, 2026.
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