Strip reasoning content from chat-completions output by default; opt-in via header #8
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opened 2026-05-31 14:43:14 +00:00 by grenade
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feat/397-replicas
feat/385-acestep-memory
fix/376-models-unhealthy-node
feat/music-surprise-genres
feat/web-decisions-route
fix/cold-load-serialise
fix/music-hide-stale-on-compose
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feat/music-studio-ux
fix/cortex-glibc-floor
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feat/audio-flac-mp3
feat/393-heartmula-serving
feat/391-heartmula-port
feat/387-acestep-rollout
feat/383-acestep-engine
feat/390-heartmula-fixtures
feat/381-acestep-fixtures
feat/402-music-ui
feat/386-audio-rates
feat/382-audio-job-api
feat/356-systemone-playground
fix/bench-skip-decision-models
feat/341-laya-residency
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feat/337-laya-perf
feat/338-neuron-systemone
feat/335-laya-prompt-builder
feat/336-laya-engine
feat/339-laya-lang-detect
feat/338-systemone-surface
feat/334-laya-reference-fixtures
feat/96-mtp-probe
fix/324-qsa-visible-set
feat/310-ple-random-advice
feat/neuron-phase-timing
fix/qwen4-ple-conv-launch-bound
feat/318-per-layer-activation-hop
fix/318-release-host-memory
feat/318-per-model-max-in-flight
fix/318-logits-last-position
fix/318-cached-experts-residency
feat/318-host-source-tensors
feat/318-host-resident-experts
fix/322-cache-telemetry
feat/322-isq-cache
test/323-parity-long-prompt
fix/323-layer-type-alias
fix/323-qsa-scores-in-f32
feat/310-mmap-ngram-table
fix/quant-fallback-match-llamacpp
fix/qwen4-exp-expert-row-width
fix/qwen4-exp-load-reporting-and-pool-trim
fix/320-isq-reachable-and-log-levels
feat/qwen4-exp-quantised-experts
feat/qwen4-exp-expert-bank
feat/qwen4-exp-mtp-head
docs/mtp-wiring-settled
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feat/qwen4-exp-decoder
feat/qwen4-exp-linear-attn
feat/qwen4-exp-moe
feat/qwen4-exp-full-attn
feat/qwen4-exp-qsa-indexer
feat/qwen4-exp-config
feat/qwen4-exp-qsa-selection
feat/qwen4-exp-ple-consumption
fix/seed-cutlass-anonymously
feat/qwen4-exp-ple-hashing
fix/seed-cutlass-in-cuda-ci
feat/hf-endpoint-env
feat/qwen4-exp-hyper-connections
feat/qwen4-exp-norm-primitives
fix/alias-test-temp-catalogue-collision
chore/retire-vestigial-reasoning-ladder
fix/context-limit-honours-kv-budget
feat/server-advertised-reasoning-ladder
feat/web-chat-collapsible-working
fix/router-sync-restarts-only-on-settings-change
feat/ci-owns-the-router-config
fix/infra-setup-ships-ratelimit-to-gateway
fix/nginx-preflight-checks-every-grant
fix/restore-max-in-flight-8
fix/retire-qwen36-27b
fix/nginx-sync-must-not-block-cortex-deploy
feat/nginx-search-alias-and-sync
fix/wire-surface-in-neuron-spans
fix/295-ignore-tiny-prefill-samples
fix/300-anthropic-streaming-thinking
fix/300-return-the-models-reasoning
feat/operator-repetition-knobs
fix/292-prefix-cache-budget
feat/stamp-preserve-thinking-state
fix/296-one-step-one-assistant-turn
feat/preserve-thinking-ab-gate
fix/client-capability-misattributions
fix/291-max-in-flight-and-config-only-ci
feat/290-reasoning-rungs-from-the-model
fix/284-gdn-state-f32
feat/bench-measurement-regimes
feat/285-nonstreaming-through-engine
fix/288-bench-authenticates
feat/283-operator-sampling-override
fix/286-clippy-all-targets
fix/replay-only-the-latest-reasoning
fix/developer-role-maps-to-system
fix/223-reasoning-effort-off
fix/fetch-the-models-own-prompt-format
fix/278-advertise-the-real-limits
fix/277-responses-reasoning-roundtrip
fix/272-sampling-gaps
fix/clippy-1.98-result-large-err
feat/sampling-defaults
fix/streaming-completion-log
fix/prometheus-histogram-buckets
fix/responses-reasoning-events
fix/stream-reasoning-content
fix/cortex-stream-read-timeout
fix/sse-keepalive-during-prefill
fix/anonymous-yields-to-authenticated
fix/upstream-test-fixture-collisions
fix/docs-directory-index
feat/angels-internal-vhost
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Outside helexa's constraining principles: near-frontier models on consumer hardware, served transparently and predictably
Active pain or unblocking work — pick up first
Engine levers — start once P1 baselines exist
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Reference: helexa/helexa#8
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Problem
When a reasoning-capable model (Qwen3, DeepSeek-R1, Mistral Magistral, gpt-oss, …) is loaded on neuron and a client hits
/v1/chat/completions, the model's<think>…</think>markers — and the body between them — arrive at the client as ordinarydelta.content. The chat-completions wire format has no slot for reasoning, so consumers that don't know about reasoning conventions (Zed's commit-message generator, any vanilla OpenAI client) write the entire stream into their UI field.Reproduced (cortex
0.1.16-0.1.20260531…, neuron Qwen3-8B on benjy): Zed's git-panel "generate commit message" feature populates the commit message field with:The
<think>block is the model's internal scratchpad, not output the user wants in their commit message.Why a server-side fix
crates/open_ai/src/completion.rsin zed-industries/zed) has nochat_template_kwargsfield, no Responses-API capability probe, no reasoning-tag awareness. Clients aren't going to fix this.ThinkParserworks because helexa-acp authored it. Every other client needs neuron to behave correctly by default.Why a model-agnostic shape
Reasoning conventions are not Qwen3-specific:
<think>/</think>declared as added_tokens intokenizer.json.<think>per its system card.[THINK]/[/THINK].Modern HF tokenizers declare these as named special tokens in
added_tokens. neuron should read what the tokenizer declares, not hardcode the syntax.Proposed implementation
At model load time, walk the loaded
tokenizers::Tokenizer's added-tokens table and look for tokens whose content matches a known reasoning-marker pattern (case-insensitivethink,reasoning, etc., bracketed by<>/[]). When a matched pair (open + close) is found, stash the token IDs onLoadedModel.reasoning_token_pair: Option<(u32, u32)>. Models without declared reasoning markers getNoneand pass through unchanged.At inference time, route at the token-sample step rather than after detokenisation. Before feeding
next_tokento theDecodeStream:Some(open) == next_token→ set reasoning state, do NOT feed the marker through the decoder, continue.Some(close) == next_token→ unset reasoning state, do NOT feed through, continue.InferenceEvent::ReasoningDeltawhen in reasoning state,TextDeltawhen not.This sidesteps the byte-buffering complexity of text-level parsing — the markers are always single special tokens by definition, so we know when we cross a boundary.
Sites to update:
run_inference_streaming(CPU),stream_inference_via_worker(CUDA single-GPU),chat_completion_tp_stream(CUDA TP). All three threadLoadedModelalready, so the token-pair is reachable.In
wire::openai_chat::project_chat_stream: by default, dropInferenceEvent::ReasoningDelta. Add a per-request header path so callers can opt in to receiving reasoning content. When opt-in is set, the projector re-wraps reasoning content with the literal<think>/</think>strings (looked up from the same tokenizer source so the syntax matches the model's actual markers) and emits asTextDelta. This keeps helexa-acp's existingThinkParserworking unchanged — helexa-acp addsx-include-thinking: trueto its requests.Header naming open to bikeshedding;
x-include-thinkingis the candidate. Could also be a request-body extension likeextra: { include_thinking: true }.Acceptance
<think>block) against an unconfigured chat-completions client.Related
ReasoningDelta→response.reasoning_summary_text.deltaso Responses consumers get typed reasoning events. Tracked under #7.