[BUG] If Llm Or Embedder Model Throws Exception, The Cat Dies

Mar 9, 2025 by ADMIN 62 views

Describe the Bug

As the title suggests, this bug is a critical issue that affects the functionality of the cat. When the LLM (Large Language Model) or embedder model throws an exception, the cat dies, and the user is left with no option but to change the model in the metadata.json file. This behavior is not expected, as the cat should be able to change the LLM or embedder model regardless of the state.

To Reproduce

To reproduce this behavior, follow these steps:

Step 1: Set a Model that Can Break

Set a model either LLM or embedder that can break, such as OpenAI with an invalid key. This will ensure that the model throws an exception when tried to be used.

Step 2: Try to Restart the Cat

Try to restart the cat. This will trigger the cat to try and use the broken model.

Step 3: Cat Dies

The cat will die, and the user will be left with no option but to change the LLM or embedder model in the metadata.json file.

Step 4: Change the LLM or Embedder Model

Change the LLM or embedder model in the metadata.json file to a working one. This will resolve the issue and allow the cat to function properly.

Expected Behavior

The expected behavior is that the cat should be able to change the LLM or embedder model regardless of the state. This means that even if the model throws an exception, the cat should be able to revert to a previous working model or change to a new one.

Screenshots

No screenshots are provided as this is a code-related issue.

Additional Context

This issue is related to the way the embedder settings are updated in the database. Currently, the embedder settings are updated in the database before the memory is successfully loaded. This can lead to issues if the model throws an exception, as the cat will die and the user will be left with no option but to change the model.

To resolve this issue, we need to update the embedder settings in the database only after the memory is successfully loaded. This will ensure that the cat can change the LLM or embedder model regardless of the state.

Fix

To fix this issue, we need to create a function that instances the model and tries to call it. If it is unsuccessful, then we need to revert the change. This will ensure that the cat can change the LLM or embedder model regardless of the state.

Here is an example of how the function could be implemented:

def instance_model(model_name):
    try:
        # Try to instance the model
        model = Model(model_name)
        # Try to call the model
        model.call()
        # If successful, update the embedder settings in the database
        update_embedder_settings(model_name)
    except Exception as e:
        # If unsuccessful, revert the change
        revert_change(model_name)
        # Raise the exception
        raise e

This function will try to instance the model and call it. If it is successful, it will update the embedder settings in the database. If it is unsuccessful, it will revert the change and raise the exception.

Code Changes

To implement this fix, we need to make the following code changes:

1. Update the embedder settings in the database only after the memory is successfully loaded

We need to update the code that updates the embedder settings in the database to only do so after the memory is successfully loaded.

2. Create a function that instances the model and tries to call it

We need to create a function that instances the model and tries to call it. If it is unsuccessful, then we need to revert the change.

3. Update the code that handles exceptions to revert the change

We need to update the code that handles exceptions to revert the change if the model throws an exception.

Here is an example of how the updated code could look:

# Update the embedder settings in the database only after the memory is successfully loaded
def update_embedder_settings(model_name):
    if memory_loaded:
        # Update the embedder settings in the database
        update_database(model_name)

# Create a function that instances the model and tries to call it
def instance_model(model_name):
    try:
        # Try to instance the model
        model = Model(model_name)
        # Try to call the model
        model.call()
        # If successful, update the embedder settings in the database
        update_embedder_settings(model_name)
    except Exception as e:
        # If unsuccessful, revert the change
        revert_change(model_name)
        # Raise the exception
        raise e

# Update the code that handles exceptions to revert the change
def handle_exception(e):
    # Revert the change
    revert_change(model_name)
    # Raise the exception
    raise e

Q: What is the bug?

A: The bug is a critical issue that affects the functionality of the cat. When the LLM (Large Language Model) or embedder model throws an exception, the cat dies, and the user is left with no option but to change the model in the metadata.json file.

Q: Why is this a problem?

A: This is a problem because it prevents the cat from functioning properly. The cat should be able to change the LLM or embedder model regardless of the state, but currently, it dies when the model throws an exception.

Q: How can I reproduce this bug?

A: To reproduce this bug, follow these steps:

Set a model either LLM or embedder that can break, such as OpenAI with an invalid key.
Try to restart the cat.
The cat will die, and the user will be left with no option but to change the LLM or embedder model in the metadata.json file.

Q: What is the expected behavior?

A: The expected behavior is that the cat should be able to change the LLM or embedder model regardless of the state. This means that even if the model throws an exception, the cat should be able to revert to a previous working model or change to a new one.

Q: How can I fix this bug?

A: To fix this bug, we need to update the embedder settings in the database only after the memory is successfully loaded. We also need to create a function that instances the model and tries to call it. If it is unsuccessful, then we need to revert the change.

Q: What code changes are needed to fix this bug?

A: To implement this fix, we need to make the following code changes:

Update the embedder settings in the database only after the memory is successfully loaded.
Create a function that instances the model and tries to call it.
Update the code that handles exceptions to revert the change.

Q: What is the updated code that fixes this bug?

A: Here is an example of how the updated code could look:

# Update the embedder settings in the database only after the memory is successfully loaded
def update_embedder_settings(model_name):
    if memory_loaded:
        # Update the embedder settings in the database
        update_database(model_name)

# Create a function that instances the model and tries to call it
def instance_model(model_name):
    try:
        # Try to instance the model
        model = Model(model_name)
        # Try to call the model
        model.call()
        # If successful, update the embedder settings in the database
        update_embedder_settings(model_name)
    except Exception as e:
        # If unsuccessful, revert the change
        revert_change(model_name)
        # Raise the exception
        raise e

# Update the code that handles exceptions to revert the change
def handle_exception(e):
    # Revert the change
    revert_change(model_name)
    # Raise the exception
    raise e

Q: What are the benefits of fixing this bug?

A: The benefits of fixing this bug are:

The cat will be able to function properly even if the LLM or embedder model throws an exception.
The user will not be left with no option but to change the model in the metadata.json file.
The cat will be able to change the LLM or embedder model regardless of the state.