fix(backend): Fix conversation history propagation on SmartDecisionBlock & AIBlock

autogpt_platform/backend/backend/blocks/llm.py

@@ -651,7 +651,7 @@ class AIStructuredResponseGeneratorBlock(AIBlockBase):
         self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
     ) -> BlockOutput:
         logger.debug(f"Calling LLM with input data: {input_data}")
-        prompt = [p.model_dump() for p in input_data.conversation_history]
+        prompt = [json.to_dict(p) for p in input_data.conversation_history]
 
         def trim_prompt(s: str) -> str:
             lines = s.strip().split("\n")

autogpt_platform/backend/backend/blocks/smart_decision_maker.py

@@ -1,4 +1,3 @@
-import json
 import logging
 import re
 from typing import TYPE_CHECKING, Any
@@ -16,6 +15,7 @@ from backend.data.block import (
     get_block,
 )
 from backend.data.model import SchemaField
+from backend.util import json
 
 if TYPE_CHECKING:
     from backend.data.graph import Link, Node
@@ -287,7 +287,7 @@ class SmartDecisionMakerBlock(Block):
     ) -> BlockOutput:
         tool_functions = self._create_function_signature(node_id)
 
-        prompt = [p.model_dump() for p in input_data.conversation_history]
+        prompt = [json.to_dict(p) for p in input_data.conversation_history]
 
         values = input_data.prompt_values
         if values:

autogpt_platform/backend/backend/util/json.py

@@ -9,6 +9,12 @@ from .type import type_match
 
 
 def to_dict(data) -> dict:
+    if isinstance(data, BaseModel):
+        data = data.model_dump()
+
+    elif isinstance(data, str):
+        data = loads(data)
+
     return jsonable_encoder(data)