Registry: POST /tasks accepts agent_name, loading <name>.json
from repo-root agents/ (traversal-guarded, skill-pack re-validated);
agent and agent_name together is a 400. Persistence: tasks gains
agent_name/agent_version/agent_instructions (migrate + PG schema),
returned by GET /tasks; stored prompt stays clean. Channel: local
and docker dispatch pass --developer-instructions to host.py
dispatch -> create_thread(developerInstructions=...); run/fork do
not re-send. Cloud executor has no such channel, so the worker
falls back to the v1 marked header in the in-memory dispatch
prompt only (DB prompt stays clean). Goal/coordinator tasks
still reject instructions.
Tests: test_agent_def_v2.py (7 tests) + updated v1 suite.
Agent definition is a versioned JSON document bundling the task
fields this codebase already honours (model/effort/approval/
executor/plan), plus instructions and required skills. At task
creation, explicit body fields win per field over the definition;
unresolved fields stay NULL and follow the worker-default chain
(and rule routing v0 when model is left empty).
Instructions reach the model only as a marked header prepended
to the stored prompt, because the dispatch path has no
developerInstructions channel; goal and coordinator tasks reject
instructions. Skills are validated against the cloud/skills pack
at parse time; seeding itself stays worker-global, documented
as the v1 boundary. Routing policy is not part of a definition
in v1 (worker-global), and unknown fields are rejected so typos
cannot be silently dropped. No new tasks-table column in v1;
definition identity is echoed in the creation response and via
the prompt header.
Tests: test_agent_def.py (11 tests).
host