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feat(action-engine): add execution runtime and ActionAgent #537

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51 changes: 51 additions & 0 deletions docs/source/api_reference/embodichain/embodichain.gen_sim.action_engine.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -203,3 +203,54 @@ Supporting planning utilities

.. automodule:: embodichain.gen_sim.action_engine.runtime.state
:members:

Execution and agent runtime
---------------------------

.. automodule:: embodichain.gen_sim.action_engine.agent
:members:

.. automodule:: embodichain.gen_sim.action_engine.unbound
:members:

.. automodule:: embodichain.gen_sim.action_engine.environment
:members:

.. automodule:: embodichain.gen_sim.action_engine.environment.agent_env
:members:

.. automodule:: embodichain.gen_sim.action_engine.runtime.dynamic
:members:

.. automodule:: embodichain.gen_sim.action_engine.runtime.executor
:members:

.. automodule:: embodichain.gen_sim.action_engine.runtime.grasp_debug
:members:

.. automodule:: embodichain.gen_sim.action_engine.runtime.recording
:members:

.. automodule:: embodichain.gen_sim.action_engine.runtime.recovery
:members:

.. automodule:: embodichain.gen_sim.action_engine.runtime.reporting
:members:

.. automodule:: embodichain.gen_sim.action_engine.cli.run_agent
:members:

Evaluation
----------

.. automodule:: embodichain.gen_sim.action_engine.evaluation
:members:

.. automodule:: embodichain.gen_sim.action_engine.evaluation.ab
:members:

.. automodule:: embodichain.gen_sim.action_engine.evaluation.e1_e2_scene_action
:members:

.. automodule:: embodichain.gen_sim.video_archive
:members:
415 changes: 415 additions & 0 deletions embodichain/gen_sim/action_engine/ARCHITECTURE.md
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19 changes: 18 additions & 1 deletion embodichain/gen_sim/action_engine/__init__.py
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Expand Up @@ -14,10 +14,23 @@
# limitations under the License.
# ----------------------------------------------------------------------------

"""Capability-driven planning for generated simulations."""
"""Capability-driven planning and live execution for generated simulations.

Action Engine deliberately exposes a small public surface. Natural-language
goals become a typed TaskSpec, deterministic planning lowers them into a
coordinate-free SeedGraph, and the runtime grounds that graph only against live
simulator state.
"""

from __future__ import annotations

from .unbound import (
UNBOUND_ACTION_PLAN_SCHEMA,
UnboundActionPlan,
build_unbound_action_plan,
validate_unbound_action_plan,
)

from .protocol import (
ACTION_ENGINE_CONFIG_SCHEMA,
ACTION_ENGINE_ENV_ID,
Expand All @@ -30,4 +43,8 @@
"ACTION_ENGINE_ENV_ID",
"EXECUTION_PROGRAM_SCHEMA",
"TASK_AGENT_SCHEMA",
"UNBOUND_ACTION_PLAN_SCHEMA",
"UnboundActionPlan",
"build_unbound_action_plan",
"validate_unbound_action_plan",
]
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