refactor: enrich description with context before calling Agent Generator (#11932)

## Summary
Updates the Agent Generator client to enrich the description with
context before calling, instead of sending `user_instruction` as a
separate parameter.

## Context
Companion PR to Significant-Gravitas/AutoGPT-Agent-Generator#105 which
removes unused parameters from the decompose API.

## Changes
- Enrich `description` with `context` (e.g., clarifying question
answers) before sending
- Remove `user_instruction` from request payload

## How it works
Both input boxes and chat box work the same way - the frontend
constructs a formatted message with answers and sends it as a user
message. The backend then enriches the description with this context
before calling the external Agent Generator service.
This commit is contained in:
Zamil Majdy
2026-02-02 20:31:07 -06:00
committed by GitHub
parent 1081590384
commit 2dd341c369
2 changed files with 8 additions and 6 deletions

View File

@@ -139,11 +139,10 @@ async def decompose_goal_external(
"""
client = _get_client()
# Build the request payload
payload: dict[str, Any] = {"description": description}
if context:
# The external service uses user_instruction for additional context
payload["user_instruction"] = context
description = f"{description}\n\nAdditional context from user:\n{context}"
payload: dict[str, Any] = {"description": description}
if library_agents:
payload["library_agents"] = library_agents

View File

@@ -102,7 +102,7 @@ class TestDecomposeGoalExternal:
@pytest.mark.asyncio
async def test_decompose_goal_with_context(self):
"""Test decomposition with additional context."""
"""Test decomposition with additional context enriched into description."""
mock_response = MagicMock()
mock_response.json.return_value = {
"success": True,
@@ -119,9 +119,12 @@ class TestDecomposeGoalExternal:
"Build a chatbot", context="Use Python"
)
expected_description = (
"Build a chatbot\n\nAdditional context from user:\nUse Python"
)
mock_client.post.assert_called_once_with(
"/api/decompose-description",
json={"description": "Build a chatbot", "user_instruction": "Use Python"},
json={"description": expected_description},
)
@pytest.mark.asyncio