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-rw-r--r--examples/server/tests/features/server.feature41
1 files changed, 30 insertions, 11 deletions
diff --git a/examples/server/tests/features/server.feature b/examples/server/tests/features/server.feature
index 878ac136..aa132fa3 100644
--- a/examples/server/tests/features/server.feature
+++ b/examples/server/tests/features/server.feature
@@ -10,11 +10,10 @@ Feature: llama.cpp server
# KV Cache corresponds to the total amount of tokens
# that can be stored across all independent sequences: #4130
# see --ctx-size and #5568
- And 32 KV cache size
- And 512 as batch size
- And 1 slots
- And embeddings extraction
- And 32 server max tokens to predict
+ And 256 KV cache size
+ And 32 as batch size
+ And 2 slots
+ And 64 server max tokens to predict
And prometheus compatible metrics exposed
Then the server is starting
Then the server is healthy
@@ -23,18 +22,35 @@ Feature: llama.cpp server
Then the server is ready
And all slots are idle
+
Scenario Outline: Completion
Given a prompt <prompt>
And <n_predict> max tokens to predict
And a completion request with no api error
Then <n_predicted> tokens are predicted matching <re_content>
+ And the completion is <truncated> truncated
+ And <n_prompt> prompt tokens are processed
And prometheus metrics are exposed
And metric llamacpp:tokens_predicted is <n_predicted>
Examples: Prompts
- | prompt | n_predict | re_content | n_predicted |
- | I believe the meaning of life is | 8 | (read\|going)+ | 8 |
- | Write a joke about AI | 64 | (park\|friends\|scared\|always)+ | 32 |
+ | prompt | n_predict | re_content | n_prompt | n_predicted | truncated |
+ | I believe the meaning of life is | 8 | (read\|going)+ | 18 | 8 | not |
+ | Write a joke about AI from a very long prompt which will not be truncated | 256 | (princesses\|everyone\|kids)+ | 46 | 64 | not |
+
+ Scenario: Completion prompt truncated
+ Given a prompt:
+ """
+ Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
+ Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
+ Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
+ Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
+ """
+ And a completion request with no api error
+ Then 64 tokens are predicted matching fun|Annaks|popcorns
+ And the completion is truncated
+ And 109 prompt tokens are processed
+
Scenario Outline: OAI Compatibility
Given a model <model>
@@ -44,11 +60,14 @@ Feature: llama.cpp server
And streaming is <enable_streaming>
Given an OAI compatible chat completions request with no api error
Then <n_predicted> tokens are predicted matching <re_content>
+ And <n_prompt> prompt tokens are processed
+ And the completion is <truncated> truncated
Examples: Prompts
- | model | system_prompt | user_prompt | max_tokens | re_content | n_predicted | enable_streaming |
- | llama-2 | Book | What is the best book | 8 | (Mom\|what)+ | 8 | disabled |
- | codellama70b | You are a coding assistant. | Write the fibonacci function in c++. | 64 | (thanks\|happy\|bird)+ | 32 | enabled |
+ | model | system_prompt | user_prompt | max_tokens | re_content | n_prompt | n_predicted | enable_streaming | truncated |
+ | llama-2 | Book | What is the best book | 8 | (Here\|what)+ | 77 | 8 | disabled | not |
+ | codellama70b | You are a coding assistant. | Write the fibonacci function in c++. | 128 | (thanks\|happy\|bird)+ | -1 | 64 | enabled | |
+
Scenario: Tokenize / Detokenize
When tokenizing: