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I had this same exact question. I did note the documentation says "Note: If you are using a custom endpoint, the endpoint value must match the defined custom endpoint name exactly." But it's not clear what "endpoint value" means. Is that the Agent |
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I was able to get it working. A config like this works: memory:
disabled: false
personalize: true # Gives users the ability to toggle memory on/off, true by default
tokenLimit: 2000 # Maximum tokens for memory storage
messageWindowSize: 5 # Number of recent messages to consider
agent:
provider: "My Custom Endpoint"
model: name-of-my-model
endpoints:
custom:
- name: "My Custom Endpoint"
... |
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Hi,
I'm looking to integrate the memory/conversation history feature for my use case. However, I am using a custom API endpoint instead of the standard OpenAI one.
What modifications are required on my custom endpoint to ensure compatibility with the memory system?
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