[bugfix] BaseExperience -> TextExperience

.gitignore

@@ -26,4 +26,5 @@ build/*
 *.egg-info/*
 cookbook/appworld/data/*
 cookbook/appworld/experiments/*
-cookbook/appworld/exp_result/*
+cookbook/appworld/exp_result/*
+file_vector_store/*

README.md

@@ -21,7 +21,7 @@
 ## 📰 What's New
 - **[2025-08]** 🎉 ExperienceMaker v0.1.0 is now available on [PyPI](https://pypi.org/project/experiencemaker/)!
 - **[2025-07]** 📚 Complete documentation and quick start guides released
-- **[2025-07]** 🚀 Multi-backend vector store support (Elasticsearch & ChromaDB)
+- **[2025-06]** 🚀 Multi-backend vector store support (Elasticsearch & ChromaDB)
 
 ---
 

doc/future_roadmap.md

@@ -55,3 +55,4 @@ Enable AI to naturally become stronger through everyday work, rather than wastin
 - [ ] refine readme @jinli
 
 - [ ] integrate into beyond-agent @jinli
+- [ ] rm workspace_id in code

experiencemaker/op/summarizer/failure_extraction_op.py

@@ -65,7 +65,7 @@ class FailureExtractionOp(BaseOp):
             experiences = []
 
             for exp_data in experiences_data:
-                experience = BaseExperience(
+                experience: BaseExperience = TextExperience(
                     workspace_id=self.context.request.workspace_id,
                     when_to_use=exp_data.get("when_to_use", exp_data.get("condition", "")),
                     content=exp_data.get("experience", ""),

experiencemaker/op/summarizer/success_extraction_op.py

@@ -7,7 +7,7 @@ from loguru import logger
 from experiencemaker.enumeration.role import Role
 from experiencemaker.op import OP_REGISTRY
 from experiencemaker.op.base_op import BaseOp
-from experiencemaker.schema.experience import BaseExperience, ExperienceMeta
+from experiencemaker.schema.experience import BaseExperience, ExperienceMeta, TextExperience
 from experiencemaker.schema.message import Message, Trajectory
 from experiencemaker.schema.response import SummarizerResponse
 from experiencemaker.utils.op_utils import merge_messages_content, parse_json_experience_response, get_trajectory_context
@@ -59,12 +59,12 @@ class SuccessExtractionOp(BaseOp):
             outcome="successful"
         )
 
-        def parse_experiences(message: Message) -> List[BaseExperience]:
+        def parse_experiences(message: Message) -> List[TextExperience]:
             experiences_data = parse_json_experience_response(message.content)
             experiences = []
 
             for exp_data in experiences_data:
-                experience = BaseExperience(
+                experience = TextExperience(
                     workspace_id=self.context.request.workspace_id,
                     when_to_use=exp_data.get("when_to_use", exp_data.get("condition", "")),
                     content=exp_data.get("experience", ""),

experiencemaker/schema/experience.py

@@ -1,7 +1,9 @@
 import datetime
+from abc import ABC
 from typing import List
 from uuid import uuid4
 
+from loguru import logger
 from pydantic import BaseModel, Field
 
 from experiencemaker.schema.vector_node import VectorNode
@@ -17,7 +19,7 @@ class ExperienceMeta(BaseModel):
         self.modified_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
 
 
-class BaseExperience(BaseModel):
+class BaseExperience(BaseModel, ABC):
     workspace_id: str = Field(default="")
 
     experience_id: str = Field(default_factory=lambda: uuid4().hex)
@@ -101,8 +103,8 @@ def vector_node_to_experience(node: VectorNode) -> BaseExperience:
         return KnowledgeExperience.from_vector_node(node)
 
     else:
-        raise RuntimeError(f"experience type {experience_type} not supported")
-
+        logger.warning(f"experience type {experience_type} not supported")
+        return TextExperience.from_vector_node(node)
 
 if __name__ == "__main__":
     e1 = TextExperience(