refactor(platform): cache agent guide and remove unused raw_json field

- Add @lru_cache to _load_agent_guide() to avoid re-reading the file on
  every conversion call
- Remove unused raw_json field from WorkflowDescription — it was populated
  by all describers but never read by any consumer

autogpt_platform/backend/backend/copilot/workflow_import/converter.py

@@ -4,6 +4,7 @@ Uses the CoPilot's LLM client to generate AutoGPT agent JSON from a structured
 WorkflowDescription, then validates and fixes via the existing pipeline.
 """
 
+import functools
 import json
 import logging
 import pathlib
@@ -45,8 +46,9 @@ def _get_llm_client() -> tuple[Any, ChatConfig]:
     return _llm_client, _llm_config
 
 
+@functools.lru_cache(maxsize=1)
 def _load_agent_guide() -> str:
-    """Load the agent generation guide markdown."""
+    """Load the agent generation guide markdown (cached after first read)."""
     return _AGENT_GUIDE_PATH.read_text()
 
 

autogpt_platform/backend/backend/copilot/workflow_import/describers.py

@@ -101,7 +101,6 @@ def describe_n8n_workflow(json_data: dict[str, Any]) -> WorkflowDescription:
         steps=steps,
         trigger_type=trigger_type,
         source_format=SourcePlatform.N8N,
-        raw_json=json_data,
     )
 
 
@@ -160,7 +159,6 @@ def describe_make_workflow(json_data: dict[str, Any]) -> WorkflowDescription:
         steps=steps,
         trigger_type=trigger_type,
         source_format=SourcePlatform.MAKE,
-        raw_json=json_data,
     )
 
 
@@ -201,7 +199,6 @@ def describe_zapier_workflow(json_data: dict[str, Any]) -> WorkflowDescription:
         steps=steps,
         trigger_type=trigger_type,
         source_format=SourcePlatform.ZAPIER,
-        raw_json=json_data,
     )
 
 

autogpt_platform/backend/backend/copilot/workflow_import/models.py

@@ -4,7 +4,6 @@ from enum import Enum
 from typing import Any
 
 import pydantic
-from pydantic import Field
 
 
 class SourcePlatform(str, Enum):
@@ -32,4 +31,3 @@ class WorkflowDescription(pydantic.BaseModel):
     steps: list[StepDescription]
     trigger_type: str | None = None
     source_format: SourcePlatform
-    raw_json: dict[str, Any] = Field(default_factory=dict, exclude=True)