9c8e3e99cb
Absorb PR 11's final Para compatibility surface as an opt-in OpenAI serving layer rather than hard-coding business defaults into protocol models. The change adds server args for Para chat defaults, Kimi/GLM compatibility, tool-choice normalization, tool-role text flattening, and streaming first-chunk error preflight while preserving default upstream behavior unless explicitly enabled. Reasoning token usage is also propagated through chat/completion usage paths, with GLM compatibility emitting completion_tokens_details.reasoning_tokens. Low-risk protocol fixes accept string image_url content parts and preserve GLM function-call argument value whitespace. Constraint: Online Para-compatible deployments require request/response semantics that differ from default OpenAI serving behavior. Constraint: Current CP/HiCache/bs>1 work must not be coupled to OpenAI serving compatibility changes. Rejected: Merge PR 11 history directly | intermediate commits briefly hard-code chat max_tokens=32768 before later gating it by server args. Rejected: Enable Para compatibility by default | would change non-Para OpenAI-compatible deployments. Confidence: high Scope-risk: moderate Directive: Keep Para-specific serving policies behind explicit server args unless the business contract changes globally. Tested: PYTHONPATH=python:. python -m unittest discover -s test/registered/unit/entrypoints/openai -p 'test_para_serving_protocol.py' -v (19 tests OK) Tested: python -m py_compile modified OpenAI serving, tokenizer manager, server_args, function-call detector, and test files Not-tested: Live router/prefill/decode OpenAI serving E2E after enabling Para flags. Co-authored-by: OmX <omx@oh-my-codex.dev>
Registered Tests
Tests under this directory are auto-discovered by run_suite.py via CI registration decorators.
Where Should I Put My New Test?
No server / engine launch required
| What you're testing | Directory | Requires |
|---|---|---|
| Component logic in isolation (cache, scheduler, config, parser, etc.) | unit/<module>/ |
CPU or GPU |
| CUDA kernel correctness | kernels/ |
GPU |
Server / engine launch required (E2E)
| What you're testing | Directory | Requires |
|---|---|---|
| Model inference correctness | models/, 4-gpu-models/, 8-gpu-models/ |
GPU |
| Feature-specific (OpenAI API, LoRA, speculative, distributed, VLM, etc.) | openai_server/, lora/, spec/, distributed/, ... |
GPU |
| Benchmarks (performance, accuracy, stress) | benchmark/ |
GPU |
| Platform-specific | amd/, ascend/ |
Vendor GPU |
See unit/README.md for unit test conventions.