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@llama.cpp
@slotsave
Feature: llama.cpp server slot management
Background: Server startup
Given a server listening on localhost:8080
And a model file tinyllamas/stories260K.gguf from HF repo ggml-org/models
And prompt caching is enabled
And 2 slots
And . as slot save path
And 2048 KV cache size
And 42 as server seed
And 24 max tokens to predict
Then the server is starting
Then the server is healthy
Scenario: Save and Restore Slot
# First prompt in slot 1 should be fully processed
Given a user prompt "What is the capital of France?"
And using slot id 1
And a completion request with no api error
Then 24 tokens are predicted matching (Lily|cake)
And 22 prompt tokens are processed
When the slot 1 is saved with filename "slot1.bin"
Then the server responds with status code 200
# Since we have cache, this should only process the last tokens
Given a user prompt "What is the capital of Germany?"
And a completion request with no api error
Then 24 tokens are predicted matching (Thank|special)
And 7 prompt tokens are processed
# Loading the original cache into slot 0,
# we should only be processing 1 prompt token and get the same output
When the slot 0 is restored with filename "slot1.bin"
Then the server responds with status code 200
Given a user prompt "What is the capital of France?"
And using slot id 0
And a completion request with no api error
Then 24 tokens are predicted matching (Lily|cake)
And 1 prompt tokens are processed
# For verification that slot 1 was not corrupted during slot 0 load, same thing
Given a user prompt "What is the capital of Germany?"
And using slot id 1
And a completion request with no api error
Then 24 tokens are predicted matching (Thank|special)
And 1 prompt tokens are processed
Scenario: Erase Slot
Given a user prompt "What is the capital of France?"
And using slot id 1
And a completion request with no api error
Then 24 tokens are predicted matching (Lily|cake)
And 22 prompt tokens are processed
When the slot 1 is erased
Then the server responds with status code 200
Given a user prompt "What is the capital of France?"
And a completion request with no api error
Then 24 tokens are predicted matching (Lily|cake)
And 22 prompt tokens are processed
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