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authorPierrick Hymbert <pierrick.hymbert@gmail.com>2024-02-24 12:28:55 +0100
committerGitHub <noreply@github.com>2024-02-24 12:28:55 +0100
commit525213d2f5da1eaf4b922b6b792cb52b2c613368 (patch)
tree8400e8a97d231b13a2df0c9d8b7c8fa945d24d5e /examples/server/tests/features/wrong_usages.feature
parentfd43d66f46ee3b5345fb8a74a252d86ccd34a409 (diff)
server: init functional tests (#5566)
* server: tests: init scenarios - health and slots endpoints - completion endpoint - OAI compatible chat completion requests w/ and without streaming - completion multi users scenario - multi users scenario on OAI compatible endpoint with streaming - multi users with total number of tokens to predict exceeds the KV Cache size - server wrong usage scenario, like in Infinite loop of "context shift" #3969 - slots shifting - continuous batching - embeddings endpoint - multi users embedding endpoint: Segmentation fault #5655 - OpenAI-compatible embeddings API - tokenize endpoint - CORS and api key scenario * server: CI GitHub workflow --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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+# run with ./test.sh --tags wrong_usage
+@wrong_usage
+Feature: Wrong usage of llama.cpp server
+
+ #3969 The user must always set --n-predict option
+ # to cap the number of tokens any completion request can generate
+ # or pass n_predict/max_tokens in the request.
+ Scenario: Infinite loop
+ Given a server listening on localhost:8080
+ And a model file stories260K.gguf
+ # Uncomment below to fix the issue
+ #And 64 server max tokens to predict
+ Then the server is starting
+ Given a prompt:
+ """
+ Go to: infinite loop
+ """
+ # Uncomment below to fix the issue
+ #And 128 max tokens to predict
+ Given concurrent completion requests
+ Then all prompts are predicted