Issues with Longterm Memory

[Shanmukha9999]

When i am using Azure based models longterm memory and short term memory are getting error, as it creating the tables with no errors but data is not being inserted to the sqlite table.

pls look into the code and error

from chromadb.utils.embedding_functions import OpenAIEmbeddingFunction

from crewai import Crew, Agent, Task, Process
from crewai.memory.storage.ltm_sqlite_storage import LTMSQLiteStorage
from crewai.memory import LongTermMemory, ShortTermMemory, EntityMemory

my_crew = Crew(
tasks=[research_task], # Tasks to be delegated and executed under the manager's supervision
agents=[researcher],
process=Process.sequential,
memory=True,
verbose=True,
embedder={
"provider": "azure",
"config": {
"api_key": "*",
"api_base": "",
"api_version": "2024-02-01",
"model_name": 'text-embedding-3-small',
"type":"Azure"
}
},
long_term_memory=LongTermMemory(
storage=LTMSQLiteStorage(
db_path="./longterm3/long_term_memory_storage.db"
)
)
)

and the error is

ERROR:root:Error during short_term search: APIStatusError.init() missing 2 required keyword-only arguments: 'response' and 'body'
ERROR:root:Error during entities search: APIStatusError.init() missing 2 required keyword-only arguments: 'response' and 'body'

Agent: Research Analyst

Task:

    Conduct a thorough research about AI Agents.
    Make sure you find any interesting and relevant information given
    the current year is 2025.

Agent: Research Analyst

Thought: Thought: To gather comprehensive and relevant information about AI Agents in 2025, I need to search for the latest data and trends using the bing search tool.

Using tool: bing search tool

Tool Input:

"{"search_query": "AI Agents 2025 trends and developments"}" .......

ERROR:root:Error during short_term save: APIStatusError.init() missing 2 required keyword-only arguments: 'response' and 'body'
Failed to add to long term memory: Failed to convert text into a Pydantic model due to the following validation error: 1 validation error for TaskEvaluation
Invalid JSON: expected value at line 1 column 1 [type=json_invalid, input_value='json\n{\n "feedback"... }\n ]\n }\n}\n', input_type=str]
For further information visit https://errors.pydantic.dev/2.10/v/json_invalid