Aglet declarative-DAG planner: walk a fixed node graph of tool calls instead of letting an LLM decide.
Project description
aglet-builtin-planner-workflow
Aglet declarative-DAG planner: walk a fixed node graph of tool calls instead of letting an LLM decide.
Part of the Aglet pluggable Agent runtime.
Use planner.workflow when the call graph is known up front (extract →
summarise → render), and you want the determinism and predictability of a
classical pipeline while still plugging into Aglet's Event / Patch / Budget /
Hook / Observability stack.
Install
pip install --pre aglet-builtin-planner-workflow
Example
planner:
techniques:
- name: workflow
config:
nodes:
- id: fetch
tool: http_get
arguments:
url: "https://example.com/api/{input}"
- id: final
final: "Fetched status: {nodes.fetch.status}"
The planner yields one tool call per round (PLANNER_ACTION with next_action
set), the Runtime dispatches it through the Executor, and the planner resumes
on the next iteration with the result available at {nodes.<id>}.
Templates support:
{input}— user's raw input text.{nodes.<id>}— full output of a previous node.{nodes.<id>.<field>}— nested-dict field access.
License
Apache-2.0
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