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daa0272f2e
New .agents/vllm-backend.md with everything that's easy to get wrong
on the vllm/vllm-omni backends:
- Use vLLM's native ToolParserManager / ReasoningParserManager — do
not write regex-based parsers. Selection is explicit via Options[],
defaults live in core/config/parser_defaults.json.
- Concrete parsers don't always accept the tools= kwarg the abstract
base declares; try/except TypeError is mandatory.
- ChatDelta.tool_calls is the contract — Reply.message text alone
won't surface tool calls in /v1/chat/completions.
- vllm version pin trap: 0.14.1+cpu pairs with torch 2.9.1+cpu.
Newer wheels declare torch==2.10.0+cpu which only exists on the
PyTorch test channel and pulls an incompatible torchvision.
- SIMD baseline: prebuilt wheel needs AVX-512 VNNI/BF16. SIGILL
symptom + FROM_SOURCE=true escape hatch are documented.
- libnuma.so.1 + libgomp.so.1 must be bundled because vllm._C
silently fails to register torch ops if they're missing.
- backend_hooks system: hooks_llamacpp / hooks_vllm split + the
'*' / '' / named-backend keys.
- ToProto() must serialize ToolCallID and Reasoning — easy to miss
when adding fields to schema.Message.
Also extended .agents/adding-backends.md with a generic 'Bundling
runtime shared libraries' section: Dockerfile.python is FROM scratch,
package.sh is the mechanism, libbackend.sh adds ${EDIR}/lib to
LD_LIBRARY_PATH, and how to verify packaging without trusting the
host (extract image, boot in fresh ubuntu container).
Index in AGENTS.md updated.