Qwen3.8 Flash Next Expected Outputs

Qwen3.8 Flash Next expected outputs

These are the canonical reasoning streams from the owner-verified runs at moe-cache commit 925933801. The API returned an empty content stream in all five runs because generation ended at the token limit.

Hash the UTF-8 response field exactly as returned. Do not hash JSON escaping, SSE framing, or an editor-added newline.

F16 full pin with MTP

• Used by: 64K F16 full-pin MTP run.
• Tokens: 1,024 reasoning, 0 content.
• Reasoning bytes: 4,481.
• Reasoning SHA-256: 68f52c84f23ee79193469df079231e274ce14b6f56f132420460b49419946652.
• Empty content SHA-256: e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855.

Full reasoning stream

We need answer user's request. Need act as release operator. Need first reason through deployment hazards, dependencies, rollback criteria. Then explicitly finish reasoning and produce final executable rollout plan dominated by shell commands and config snippets. Deploy payments API to blue canary pool, hold traffic at ten percent, verify latency and error budgets, publish signed go-or-rollback decision. Keep reasoning brief enough to leave most response budget for final plan. Include concrete scripts with error handling, config examples, verification commands rather than only prose.

Need likely produce final with reasoning section then final plan. Need maybe mention assumptions: Kubernetes, Istio/Envoy? Blue canary pool. Need executable shell commands. Could use kubectl, istioctl, curl, jq, openssl, sha256sum, gpg? Signed decision. Need maybe use a decision file and sign with GPG or openssl. Need include config examples: Deployment blue-canary, Service, VirtualService, DestinationRule, HPA, PDB, ConfigMap? Need scripts with error handling. Need verify latency and error budgets: Prometheus queries, curl, jq. Need hold traffic at 10%. Need publish signed go-or-rollback decision. Need maybe include rollback script. Need ensure final plan dominated by shell commands and snippets. Need maybe not too long but detailed.

Need think through hazards: version skew, database migrations, secrets, rate limits, idempotency, payment provider sandbox/prod, circuit breaker, timeouts, retries, canary leakage, sticky sessions, PCI, observability, alert suppression, capacity, blue/green naming. Dependencies: DB, auth, payment gateway, message queue, feature flags, monitoring. Rollback criteria: p95 latency > threshold, error rate > threshold, 5xx, payment failures, saturation, SLO burn. Need maybe define budgets: 99.9% availability, p95 < 250ms, error budget 0.1%, canary error rate < 0.5%? Need concrete.

Need final executable rollout plan. Could structure:
- Reasoning (brief bullets)
- Finish reasoning: "Reasoning complete. Final plan follows."
- Final plan: environment variables, preflight, deploy blue canary, configure mesh traffic 10%, warmup, verify, sign decision, rollback if fail.

Need include scripts. Could provide one big script? User asks final executable rollout plan dominated by shell commands and configuration snippets. Could include multiple code blocks. Need maybe make it copy-pasteable. Need include error handling: set -euo pipefail, trap, functions. Need maybe use bash. Need maybe include YAML manifests. Need maybe include Prometheus queries. Need maybe include signed decision using openssl dgst -sha256 -sign key. Need maybe include verification commands.

Need be careful: "blue canary pool" maybe blue environment canary. Deploy payments API to blue canary pool, hold traffic at ten percent. Could use Kubernetes Deployment named payments-api-blue-canary, Service payments-api-blue-canary, VirtualService with route weights: stable 90, blue-canary 10. Or if blue/green, blue is canary? We'll define.

Need maybe include config examples:
- namespace payments
- deployment with readiness/liveness, resources, securityContext, env, probes, terminationGracePeriod, topologySpreadConstraints, PDB, HPA.
- Service.
- DestinationRule with outlier detection, connection pool, load balancing.
- VirtualService with retries, timeouts, fault injection? Maybe no fault injection.
- PrometheusRule for SLO alerts.
- ConfigMap for canary config? Maybe.

Need scripts:
1. preflight.sh: check kubectl, istioctl, prometheus, gpg/openssl, namespace, current stable, image tag, digest, migration status, feature flags, capacity, alerts.
2. deploy-blue-canary.sh: apply manifests, wait rollout, verify pods.
3. set-canary-weight.sh: patch VirtualService to 10%, verify.
4. verify-canary.sh: run for duration, query Prometheus, evaluate thresholds, collect logs, maybe synthetic payments.
5. sign-decision.sh: create decision JSON, sign with openssl/gpg, publish to artifact store.
6. rollback.sh: set weight 0, scale down canary, verify stable, sign rollback decision.
7. main rollout script orchestrates.

Need maybe include exact commands. Need maybe use env vars:
export RELEASE_ID=...
export IMAGE=...
export NAMESPACE=payments
export STABLE=payments-api-stable
export CANARY=payments-api-blue-canary
export CANARY_WEIGHT=10
export DURATION=600
export P95_MAX_MS=250
export ERROR_RATE_MAX=0.005
export MIN_REQUESTS=1000

Need maybe use kubectl set

Q8 short prompt

• Used by: 64K Q8 full-pin and 24 GB partial-pin short runs.

• Tokens: 1,024 reasoning, 0 content.

• Reasoning bytes: 4,596.

• Reasoning SHA-256: fcc014df69b36b44941cdfe6f74ba2c4661b9a48917a001bf9c404b79dba3e3f.

• Empty content SHA-256: e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855.

Full reasoning stream

We need answer user's request. Need act as release operator. Need first reason through deployment hazards, dependencies, rollback criteria. Then explicitly finish reasoning and produce final executable rollout plan dominated by shell commands and config snippets. Deploy payments API to blue canary pool, hold traffic at 10%, verify latency and error budgets, publish signed go-or-rollback decision. Keep reasoning brief enough to leave most response budget for final plan. Include concrete scripts with error handling, config examples, verification commands rather than only prose.

Need likely produce final answer with brief reasoning then final plan. Need maybe mention assumptions: Kubernetes, Istio/Envoy? Blue canary pool. Need executable shell commands and config snippets. Could use kubectl, helm, istioctl, curl, openssl signing. Need signed go-or-rollback decision. Could create decision JSON, sign with openssl dgst using private key, verify. Need maybe environment variables. Need error handling set -euo pipefail. Need deploy to blue canary pool, hold traffic 10%. Need verify latency and error budgets. Could use Prometheus queries, kubectl rollout status, istio VirtualService weights. Need rollback criteria. Need maybe use blue/green/canary: blue canary pool? Deploy payments API to blue canary pool. Maybe blue is canary? Or blue canary pool means blue environment canary. Need hold traffic at 10%. Could use Istio VirtualService route weights: blue 10, green 90. Or if blue canary pool is subset blue. Need verify latency and error budgets: Prometheus queries for p99 latency, error rate. Need thresholds. Need publish signed decision: maybe write decision.json, sign with openssl, upload to S3? Could just output signed file. Need final executable rollout plan dominated by shell commands and config snippets. Could include scripts: deploy.sh, verify.sh, decision.sh. Need maybe include YAML for Deployment, Service, VirtualService, DestinationRule, PrometheusRule? Need concrete.

Need ensure final answer includes explicit finish reasoning. Maybe:

Reasoning:
- Hazards: ...
- Dependencies: ...
- Rollback criteria: ...
Reasoning complete.

Then final plan.

Need maybe not too long reasoning. But final plan detailed. Need maybe include commands that are safe? Could include placeholders. Need maybe avoid destructive commands? But rollback is executable. Need maybe include confirmation? User asks executable. Could include DRY_RUN? But final plan should be executable. Need maybe include environment variables. Need maybe include error handling.

Need think about possible platform. Since unspecified, choose Kubernetes + Istio + Prometheus + Grafana? Need mention assumptions. Could make plan generic but concrete. Use kubectl, istioctl, promtool? Need signed decision with openssl. Need maybe use cosign? But openssl simpler. Need maybe include GPG? Signed go-or-rollback decision. Could use openssl genrsa? But in production key exists. Need maybe sign with private key path. Could include verification.

Need maybe include canary analysis: latency p99 <= 250ms, error rate <= 0.5%, 5xx <= 0.1%, saturation? Need error budgets. Could query Prometheus:
- request_count: sum(rate(grpc_server_handled_total{...}[$window]))? For HTTP: sum(rate(istio_requests_total{destination_service_name="payments-api", destination_service_namespace="prod", response_code=~"5.."}[$window])) / sum(rate(...[$window]))
- latency: histogram_quantile(0.99, sum(rate(istio_request_duration_milliseconds_bucket{...}[$window])) by (le))
Need compare thresholds. Use curl -G --data-urlencode. Need parse JSON with jq. Need handle no data. Need maybe use PromQL with query_range? Simpler instant query. Need maybe use kubectl exec? No.

Need deploy to blue canary pool: Could use Helm upgrade with values:
helm upgrade --install payments-api ./charts/payments-api -n payments --set image.tag=$RELEASE_TAG --set canary.enabled=true --set canary.pool=blue --set canary.weight=10 --wait --timeout 10m
But if Istio weights separate. Could include Deployment with label track=canary, color=blue. Service payments-api selects track=stable? Need Istio subsets.

Maybe define:
- Namespace payments
- Deployment payments-api-blue-canary with label app=payments-api, track=canary, color=blue
- Service payments-api (all pods?)
- DestinationRule subsets: stable (track=stable), canary-blue (track=canary, color=blue)
- VirtualService route weights: canary-blue 10, stable 90.
But if deploying to blue canary pool, maybe blue is canary. Need hold traffic at 10%.

Need maybe include commands to apply YAML.

Q8 long prompt

• Used by: 64K Q8 full-pin and 24 GB partial-pin long runs.

• Tokens: 64 reasoning, 0 content.

• Reasoning bytes: 326.

• Reasoning SHA-256: a1e4332df0d126aeb2e514f88f95551c1452a32f09a338a3797a1797c846da7b.

• Empty content SHA-256: e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855.

Full reasoning stream

We need answer user's request. Need produce final answer with reasoning brief then final executable rollout plan dominated by shell commands/config snippets. Need read dossier? It's llama.cpp docs, but deployment task asks payments API to blue canary pool, hold traffic 10%, verify latency/error budgets, publish signed go-or-

Hash fields independently

For a streamed response, concatenate delta.reasoning_content and delta.content separately in arrival order. Encode each resulting string as UTF-8, then compute SHA-256. Keep reasoning and final content separate: an empty final-content stream is valid for these length-limited runs.

Reproduction protocol - Exact prompts - Notable runs