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			* `main`/`server`: rename to `llama` / `llama-server` for consistency w/ homebrew
* server: update refs -> llama-server
gitignore llama-server
* server: simplify nix package
* main: update refs -> llama
fix examples/main ref
* main/server: fix targets
* update more names
* Update build.yml
* rm accidentally checked in bins
* update straggling refs
* Update .gitignore
* Update server-llm.sh
* main: target name -> llama-cli
* Prefix all example bins w/ llama-
* fix main refs
* rename {main->llama}-cmake-pkg binary
* prefix more cmake targets w/ llama-
* add/fix gbnf-validator subfolder to cmake
* sort cmake example subdirs
* rm bin files
* fix llama-lookup-* Makefile rules
* gitignore /llama-*
* rename Dockerfiles
* rename llama|main -> llama-cli; consistent RPM bin prefixes
* fix some missing -cli suffixes
* rename dockerfile w/ llama-cli
* rename(make): llama-baby-llama
* update dockerfile refs
* more llama-cli(.exe)
* fix test-eval-callback
* rename: llama-cli-cmake-pkg(.exe)
* address gbnf-validator unused fread warning (switched to C++ / ifstream)
* add two missing llama- prefixes
* Updating docs for eval-callback binary to use new `llama-` prefix.
* Updating a few lingering doc references for rename of main to llama-cli
* Updating `run-with-preset.py` to use new binary names.
Updating docs around `perplexity` binary rename.
* Updating documentation references for lookup-merge and export-lora
* Updating two small `main` references missed earlier in the finetune docs.
* Update apps.nix
* update grammar/README.md w/ new llama-* names
* update llama-rpc-server bin name + doc
* Revert "update llama-rpc-server bin name + doc"
This reverts commit e474ef1df4.
* add hot topic notice to README.md
* Update README.md
* Update README.md
* rename gguf-split & quantize bins refs in **/tests.sh
---------
Co-authored-by: HanClinto <hanclinto@gmail.com>
		
	
		
			
				
	
	
		
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			Markdown
		
	
	
	
	
	
			
		
		
	
	
			66 lines
		
	
	
		
			2.8 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
| # Server tests
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| 
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| Python based server tests scenario using [BDD](https://en.wikipedia.org/wiki/Behavior-driven_development)
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| and [behave](https://behave.readthedocs.io/en/latest/):
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| 
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| * [issues.feature](./features/issues.feature) Pending issues scenario
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| * [parallel.feature](./features/parallel.feature) Scenario involving multi slots and concurrent requests
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| * [security.feature](./features/security.feature) Security, CORS and API Key
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| * [server.feature](./features/server.feature) Server base scenario: completion, embedding, tokenization, etc...
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| 
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| Tests target GitHub workflows job runners with 4 vCPU.
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| 
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| Requests are
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| using [aiohttp](https://docs.aiohttp.org/en/stable/client_reference.html), [asyncio](https://docs.python.org/fr/3/library/asyncio.html)
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| based http client.
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| 
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| Note: If the host architecture inference speed is faster than GitHub runners one, parallel scenario may randomly fail.
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| To mitigate it, you can increase values in `n_predict`, `kv_size`.
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| 
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| ### Install dependencies
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| 
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| `pip install -r requirements.txt`
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| 
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| ### Run tests
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| 
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| 1. Build the server
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| 
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| ```shell
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| cd ../../..
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| cmake -B build -DLLAMA_CURL=ON
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| cmake --build build --target llama-server
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| ```
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| 
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| 2. Start the test: `./tests.sh`
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| 
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| It's possible to override some scenario steps values with environment variables:
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| 
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| | variable                 | description                                                                                    |
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| |--------------------------|------------------------------------------------------------------------------------------------|
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| | `PORT`                   | `context.server_port` to set the listening port of the server during scenario, default: `8080` |
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| | `LLAMA_SERVER_BIN_PATH`  | to change the server binary path, default: `../../../build/bin/llama-server`                         |
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| | `DEBUG`                  | "ON" to enable steps and server verbose mode `--verbose`                                       |
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| | `SERVER_LOG_FORMAT_JSON` | if set switch server logs to json format                                                       |
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| | `N_GPU_LAYERS`           | number of model layers to offload to VRAM `-ngl --n-gpu-layers`                                |
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| 
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| ### Run @bug, @wip or @wrong_usage annotated scenario
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| 
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| Feature or Scenario must be annotated with `@llama.cpp` to be included in the default scope.
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| 
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| - `@bug` annotation aims to link a scenario with a GitHub issue.
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| - `@wrong_usage` are meant to show user issue that are actually an expected behavior
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| - `@wip` to focus on a scenario working in progress
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| - `@slow` heavy test, disabled by default
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| 
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| To run a scenario annotated with `@bug`, start:
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| 
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| ```shell
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| DEBUG=ON ./tests.sh --no-skipped --tags bug --stop
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| ```
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| 
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| After changing logic in `steps.py`, ensure that `@bug` and `@wrong_usage` scenario are updated.
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| 
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| ```shell
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| ./tests.sh --no-skipped --tags bug,wrong_usage || echo "should failed but compile"
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| ```
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