Workflows
ProfilesCustom Profile
Model ProfileQwen 3.6 27B NeoCode Q4
Ready to switch models.
Effective decoding values will appear here.
Advanced decoding controls
Decoding changes apply at the proxy without reloading the model.
Quant: Q4_K_M
Build: 2026-08-23 → /servers/llcpp/main/2026-08-23
Default: Muse-Glimmer-30B Abliterated Blackfrost Q4_K_M (+DFlash)
Loaded: qwen36-27b-neocoder-q4
OpenClaw: arc/eliska
Synchronization: logical-pinned
Changing this target loads it immediately. OpenClaw remains pinned to arc/eliska.
API Reference
Base URL: http://arcangle:10101
Action endpoints accept GET or POST; POST is preferred for automation.
Status:
GET http://arcangle:10101/api/status
Current dashboard state.
GET http://arcangle:10101/state.json
Alias for current dashboard state.
GET http://arcangle:10101/api/gpu-history?minutes=60
GPU telemetry history.
GET http://arcangle:10101/api/gpu-trace-styles
Saved GPU oscilloscope trace styles and active UI mode.
POST http://arcangle:10101/api/gpu-trace-styles
Save/select a GPU trace style or enable oscilloscope mode.
GET http://arcangle:10101/api/profiles
Available desired-state profiles and active match.
GET http://arcangle:10101/api/model-profiles
Available llama model profiles and selected model.
GET http://arcangle:10101/api/decoding-profile
Active model decoding preset state.
GET http://arcangle:10101/api/inference/options
Read authoritative router policy, hashes, live match, drift, UI endpoint, and last committed transaction.
POST http://arcangle:10101/api/inference/options
Transactionally set positive model_autoload_enabled and/or llama_cpp_ui_enabled booleans. Requires X-ArcControl-Operator-Token.
GET http://arcangle:10101/api/openclaw-sync
ArcControl/OpenClaw model synchronization state.
GET http://arcangle:10101/api/inference
Combined proxy and llama.cpp inference observability snapshot.
GET http://arcangle:10101/api/inference/proxy
Structured llama proxy ingress and request observability.
GET http://arcangle:10101/api/inference/llama?lines=1200
Parsed llama.cpp telemetry from a bounded log tail.
GET http://arcangle:10101/api/gpu-workloads
Registered full-use GPU workloads.
GET http://arcangle:10101/api/startup-services
Card services configured to start with ArcControl.
POST http://arcangle:10101/api/startup-services
Set whether a card service starts with ArcControl; pass key and enabled.
Inference:
POST http://arcangle:10101/api/model-profile
Select llama model profile; pass slug and optional restart.
POST http://arcangle:10101/api/model-profile-default
Set the default llama model profile used when active state is missing.
POST http://arcangle:10101/api/decoding-profile
Set active model decoding mode/preset without reloading model.
POST http://arcangle:10101/api/openclaw-sync
Set arc/eliska target profile (eliska_target_slug); loads immediately by default. Optional load_immediately and grace_seconds.
POST http://arcangle:10101/api/do/llama-gpu
Switch llama.cpp to regular GPU mode.
POST http://arcangle:10101/api/do/llama-gpu-turbo
Switch llama.cpp to GPU turboquant mode.
POST http://arcangle:10101/api/do/llama-cpu
Switch llama.cpp to CPU mode.
POST http://arcangle:10101/api/do/llama-stop
Stop the llama.cpp router/service process.
POST http://arcangle:10101/api/do/llama-unload
Unload the resident model while keeping the router running.
POST http://arcangle:10101/api/do/llama-resume
Resume the intentionally unloaded model.
POST http://arcangle:10101/api/do/llama-bounce
Restart the current llama.cpp mode.
POST http://arcangle:10101/api/bounce/llama
Alias: restart the current llama.cpp mode.
Speaches:
POST http://arcangle:10101/api/do/voice-gpu
Start GPU dictation stack; standalone Kokoro remains stopped.
POST http://arcangle:10101/api/do/voice-cpu
Start CPU tiny dictation on port 8000.
POST http://arcangle:10101/api/do/voice-stop
Stop dictation and Kokoro.
POST http://arcangle:10101/api/do/voice-bounce
Restart the current dictation mode.
POST http://arcangle:10101/api/bounce/voice
Alias: restart the current dictation mode.
Kokoro TTS:
POST http://arcangle:10101/api/do/kokoro-gpu
Start Kokoro TTS in GPU mode.
POST http://arcangle:10101/api/do/kokoro-cpu
Start Kokoro TTS in CPU mode.
POST http://arcangle:10101/api/do/kokoro-stop
Stop Kokoro TTS.
POST http://arcangle:10101/api/do/kokoro-bounce
Restart the current standalone Kokoro TTS mode.
POST http://arcangle:10101/api/bounce/kokoro
Alias: restart the current standalone Kokoro TTS mode.
Sidecars:
POST http://arcangle:10101/api/do/llama-proxy-start
Start llama logging proxy on port 19090.
POST http://arcangle:10101/api/do/llama-proxy-stop
Stop llama logging proxy on port 19090.
POST http://arcangle:10101/api/do/ttscleaner-start
Start TTS Cleaner proxy on port 8881.
POST http://arcangle:10101/api/do/ttscleaner-stop
Stop TTS Cleaner proxy on port 8881.
POST http://arcangle:10101/api/do/kokoro-reader-start
Start Kokoro Reader on port 9999.
POST http://arcangle:10101/api/do/kokoro-reader-stop
Stop Kokoro Reader on port 9999.
GET http://arcangle:10101/api/kokoro-reader/settings
Current Kokoro Reader TTS backend URL and model.
GET http://arcangle:10101/api/kokoro-reader/models?base_url=http://arcangle:8000/v1
List OpenAI-compatible TTS models from the configured backend URL.
POST http://arcangle:10101/api/kokoro-reader/settings
Set Kokoro Reader TTS backend URL and model.
POST http://arcangle:10101/api/do/ace-step-start
Start ACE-Step 1.5 on port 15051.
POST http://arcangle:10101/api/do/ace-step-stop
Stop ACE-Step 1.5.
POST http://arcangle:10101/api/do/ace-step-force-stop
Force stop ACE-Step 1.5.
POST http://arcangle:10101/api/do/ace-step-init
Initialize ACE-Step DiT/LM models for the selected profile.
POST http://arcangle:10101/api/do/ace-step-smoke
Submit one tiny ACE-Step generation smoke job and return the first poll.
GET http://arcangle:10101/api/ace-step/capabilities
Machine-readable ACE-Step generation fields, defaults, limits, resource-management behavior, and agent notification support.
POST http://arcangle:10101/api/ace-step/jobs
Submit a durable asynchronous music job and return immediately with job_id.
Notes: Optional X-OpenClaw-Session-Key and Idempotency-Key headers are accepted.
Request example:
{
"prompt": "slow cinematic industrial rock about midnight hydroelectric machinery",
"lyric_mode": "auto",
"duration": 180,
"steps": 12,
"generations": 2,
"generation_mode": "same",
"language": "en",
"manage_resources": true,
"restore_state": true,
"session_key": "agent:main:example-session",
"idempotency_key": "music-request-2026-07-15-001"
}
Response example:
{
"job_id": "ace-20260715-103000-ab12cd34",
"status": "queued",
"phase": "queued"
}
GET http://arcangle:10101/api/ace-step/jobs
List recent asynchronous ACE-Step jobs.
GET http://arcangle:10101/api/ace-step/jobs/{job_id}
Read one ACE-Step job, including phase, outputs, restoration result, and notification result.
POST http://arcangle:10101/api/ace-step/generate
Run the same complete generation contract synchronously. Use /jobs for Eliska and other agents.
Request example:
{
"prompt": "slow cinematic industrial rock about midnight hydroelectric machinery",
"lyric_mode": "auto",
"duration": 180,
"steps": 12,
"generations": 2,
"generation_mode": "same",
"language": "en",
"manage_resources": true,
"restore_state": true,
"session_key": "agent:main:example-session",
"idempotency_key": "music-request-2026-07-15-001"
}
Response example:
{
"status": "completed",
"outputs": [
{
"path": "/data/ace-step/generated/example.mp3",
"url": "/api/ace-step/output?path=..."
}
]
}
GET http://arcangle:10101/api/ace-step/models
Authenticated ACE-Step model inventory via ArcControl.
GET http://arcangle:10101/api/ace-step/stats
Authenticated ACE-Step queue/job stats via ArcControl.
GET http://arcangle:10101/api/ace-step/output?path=/data/ace-step/generated/file.mp3
Download a generated ACE-Step audio or sidecar file.
POST http://arcangle:10101/api/do/llama-proxy-bounce
Restart the llama logging proxy.
POST http://arcangle:10101/api/do/ttscleaner-bounce
Restart TTS Cleaner.
POST http://arcangle:10101/api/do/kokoro-reader-bounce
Restart Kokoro Reader.
POST http://arcangle:10101/api/do/ace-step-bounce
Restart ACE-Step 1.5.
POST http://arcangle:10101/api/do/navidrome-start
Start Navidrome through Docker Compose.
POST http://arcangle:10101/api/do/navidrome-stop
Stop Navidrome through Docker Compose.
POST http://arcangle:10101/api/do/navidrome-bounce
Restart Navidrome through Docker Compose.
POST http://arcangle:10101/api/bounce/llama-proxy
Alias: restart the llama logging proxy.
POST http://arcangle:10101/api/bounce/ttscleaner
Alias: restart TTS Cleaner.
POST http://arcangle:10101/api/bounce/kokoro-reader
Alias: restart Kokoro Reader.
POST http://arcangle:10101/api/bounce/ace-step
Alias: restart ACE-Step 1.5.
POST http://arcangle:10101/api/bounce/navidrome
Alias: restart Navidrome.
GPU Workloads:
POST http://arcangle:10101/api/do/gpu-workload-launch-comfy
Start ComfyUI in place without changing other services.
POST http://arcangle:10101/api/do/gpu-workload-start-comfy
Make room and start ComfyUI.
POST http://arcangle:10101/api/do/gpu-workload-stop-comfy
Stop ComfyUI.
POST http://arcangle:10101/api/do/gpu-workload-bounce-comfy
Restart ComfyUI in place.
POST http://arcangle:10101/api/bounce/gpu-workload/comfy
Alias: restart ComfyUI in place.
POST http://arcangle:10101/api/do/comfy-start
Alias: start ComfyUI in place.
POST http://arcangle:10101/api/do/comfy-start-managed
Alias: make room and start ComfyUI.
POST http://arcangle:10101/api/do/comfy-free
Ask ComfyUI to unload models and free memory.
POST http://arcangle:10101/api/do/comfy-stop
Alias: stop ComfyUI.
Workflows:
POST http://arcangle:10101/api/do/profile-gpu-inference
Apply GPU Inference profile.
POST http://arcangle:10101/api/do/profile-gpu-turbo
Apply experimental GPU Turbo profile.
POST http://arcangle:10101/api/do/profile-comfy-work
Apply Comfy Work profile.
POST http://arcangle:10101/api/do/profile-free-vram
Apply Free VRAM profile.
POST http://arcangle:10101/api/do/retask-gpu
CPU inference, CPU dictation, start ComfyUI.
POST http://arcangle:10101/api/do/restore-gpu
Unload ComfyUI models, restore GPU inference and voice.
POST http://arcangle:10101/api/do/free-vram
CPU inference and CPU dictation, unload ComfyUI models without stopping ComfyUI.
Model Cache:
GET http://arcangle:10101/api/model-cache
Current inference/voice model cache retouch settings and runtime state.
POST http://arcangle:10101/api/model-cache
Set enabled and interval_seconds for warm_models.sh retouching.
POST http://arcangle:10101/api/do/model-cache-warm
Run warm_models.sh immediately.
Logs:
GET http://arcangle:10101/logs?service=llama&lines=240
Inference server log.
GET http://arcangle:10101/logs?service=voice&lines=120
Voice orchestration log.
GET http://arcangle:10101/logs?service=kokoro&lines=120
Kokoro log.
GET http://arcangle:10101/logs?service=kokoro_reader&lines=120
Kokoro Reader log.
GET http://arcangle:10101/logs?service=ace_step&lines=120
ACE-Step 1.5 log.
GET http://arcangle:10101/logs?service=navidrome&lines=120
Navidrome Docker log.
GET http://arcangle:10101/logs?service=comfy&lines=120
ComfyUI log.
Examples:
curl -X POST http://arcangle:10101/api/do/llama-gpu-turbo
curl -X POST http://arcangle:10101/api/do/llama-cpu
curl -X POST http://arcangle:10101/api/do/llama-stop
curl -X POST http://arcangle:10101/api/do/voice-cpu
curl -X POST http://arcangle:10101/api/do/kokoro-stop
curl http://arcangle:10101/api/status
Cache Inference/Voice Models
model cache disabled
STATUS: NOMINAL
Router runningTrue
Router healthyFalse
Model configuredqwen36-27b-neocoder-q4
Model loadedqwen36-27b-neocoder-q4
Model verifiedTrue
Inference availableTrue
Current identityd8efaacf600f89c51e120ee2bd29a409c6a58c035867a2fc4a951de44267175c
Last Known Goodd8efaacf600f89c51e120ee2bd29a409c6a58c035867a2fc4a951de44267175c
Batch sizebatch_size
Batch thread countbatch_threads
Router RAM cache (MiB)cache_ram_mib
Context lengthcontext_length
Context shiftcontext_shift
CPU thread countcpu_threads
Flash attentionflash_attention
GPU layer countgpu_layers
Prompt tokens to keepkeep_tokens
KV-cache key typekv_cache_key_type
KV-cache value typekv_cache_value_type
Unified KV cachekv_unified
Microbatch sizemicrobatch_size
Parallel slot countparallel_slots
Reasoning budgetreasoning_budget
Reasoning modereasoning_mode
Preserve reasoningreasoning_preserve
Slot cache enabledslot_cache_enabled
Slot-cache pathslot_cache_path
Safety Enforcement
GPU ownerllama.cpp + Whisper + TTS-WebUI
Inference routegpu / running
Voice routegpu / running
TTS routespeaches / running
Live Inference
OpenClaw / qwen36-27b-neocoder-q4 / completed
Sourceunknown
Ingressunknown
Backend:19091
Prompt eval—
Decode—
Idle
Request Received
Waiting for Backend
Processing Prompt
Generating
Completed
Cancelled
Failed
Context Truncated
Prompt
?
Output
?
Prompt / Decode TPS
?
Prompt Tokens
Output Tokens / Allowance
1 block = ? tokens ·
known ·
unknown
Inference pressure — 5 min
Inference pressure — 1 hour
llama gpu health check passed
1 operation(s)
GPU Load / VRAM Pressure - 5 Min
no samples · 0 samples
VRAM pressure GPU load Power
GPU Load / VRAM Pressure - 1 Hour
no samples · 0 samples
VRAM pressure GPU load Power
GPU Processes
| PID | Name | VRAM MB |
|---|---|---|
| 2526824 | Whisper dictation | 874 MB / 2.68% |
uriel 2526824 0.4 2.5 99503876 3389796 ? SLsl Aug29 2:40 /home/ubuntu/speaches/.venv/bin/python /home/ubuntu/speaches/.venv/bin/uvicorn --factory speaches.main:create_app |
||
| 2228774 | llama.cpp | 27638 MB / 84.76% |
uriel 2228774 0.7 2.2 80455592 3017700 ? Sl Aug29 2:02 /servers/llcpp/main/2026-08-23/build/bin/llama-server --cache-idle-slots --chat-template-file /models/Qwen-3.6-27b-heretic-neocode/chat_template.jinja --chat-template-kwargs {"preserve_thinking":false} --context-shift --host 127.0.0.1 --jinja --keep 4096 --mmproj-offload --op-offload --port 52171 --slot-save-path /servers/run/state/llama-slot-cache --warmup --alias qwen36-27b-neocoder-q4 --ctx-size 262144 --cache-ram 32768 --cache-type-k q8_0 --cache-type-v q8_0 --flash-attn auto --kv-unified --log-verbosity 3 --model /models/Qwen-3.6-27b-heretic-neocode/Qwen3.6-27B-NEO-CODE-HERE-2T-OT-Q4_K_M.gguf --mmproj /models/Qwen-3.6-27b-heretic-neocode/Qwen3.6-27B-mmproj-BF16.gguf --n-gpu-layers 999 --parallel 3 --reasoning on --threads 20 --threads-batch 20 |
||
Inference
Statusrunning
Modegpu
HTTPok
PID2011083
Tasks0 active
Latestslot 2 task 1014 / completed
Prompt? / 142 tok
Generate101 tok @ 48.5 t/s
Health19091
Start with ArcControl
Speaches
Statusrunning
Modegpu
Port8000
Start with ArcControl
TTS
Statusrunning
Modestopped
Port9912
Start with ArcControl
Llama Proxy
Statusrunning
Port19090
Backendhttp://arcangle:19091
Ingressbound 19092, 19094, 19095, 19090
Active0
Recent21
PID1225500
Start with ArcControl
TTS Cleaner
Statusrunning
Port8881
LLMhttp://arcangle:19090
PID1200626
Start with ArcControl
Kokoro Reader
Statusrunning
Port9999
TTS APIhttp://192.168.11.250:8881/v1
Modelspeaches-ai/Kokoro-82M-v1.0-ONNX
PID15569
Start with ArcControl
ACE-Step 1.5
Statusstopped
Profilestopped
Port15051
DiTacestep-v15-xl-turbo
LMacestep-5Hz-lm-4B
ModelsFalse
Queue/
API
PID
Start with ArcControl
Navidrome
Statusstopped
Modestopped
Port11111
Containernavidrome
Start with ArcControl
ComfyUI
Statusstopped
Modestopped
PID
URL8188
Start with ArcControl
Inference Log
Llama logs load on demand.
Other Logs
Logs load on demand.
State File
{
"version": "0.5.0",
"transitioning": false,
"gpu_state": "inference_available",
"message": "llama gpu health check passed",
"inference": {
"status": "running",
"mode": "gpu",
"pid": 2011083,
"launcher_pid": null,
"pgid": 2011083,
"port": 19091,
"url": "http://arcangle:19091",
"health_url": "http://arcangle:19091/health",
"port_listening": true,
"http_ok": true,
"http_probe": {
"ok": true,
"status": 200,
"body": "{\"status\":\"ok\"}"
},
"log": "/servers/run/state/logs/llama.log",
"model_profile": "qwen36-27b-neocoder-q4",
"model_label": "Qwen 3.6 27B NeoCode Q4",
"model_path": "/models/Qwen-3.6-27b-heretic-neocode/Qwen3.6-27B-NEO-CODE-HERE-2T-OT-Q4_K_M.gguf",
"router_options": {
"available": true,
"policy": "arccontrol-authoritative",
"policy_path": "/servers/run/state/router-policy.json",
"launcher_path": "/servers/run/generated/router-launch.sh",
"policy_hash": "8a96fb20e0bba40b286ebcd647083f6907d0f724beda4797217c302a9ba55418",
"launcher_hash": "48c6780dafe9172bddb1203a0be457f18a5bc0514c5233c090007157f5bdfbb9",
"expected_argv_hash": "c8b0040927d0882fee01282c0a11308b5374d9b463cb41261e806fba48356f9b",
"launcher_exists": true,
"live_match": true,
"verification": {
"ok": true,
"errors": [],
"systemd": {
"ok": true,
"exec_start": "/servers/run/generated/router-launch.sh",
"raw": "{ path=/servers/run/generated/router-launch.sh ; argv[]=/servers/run/generated/router-launch.sh ; ignore_errors=no ; start_time=[Sat 2026-08-29 15:57:41 EDT] ; stop_time=[n/a] ; pid=2011083 ; code=(null) ; status=0/0 }",
"environment": "HOME=/home/uriel PYTHONUNBUFFERED=1",
"policy_override": false,
"error": ""
},
"live": {
"ok": true,
"pid": 2011083,
"argv": [
"/servers/llcppx/build/bin/llama-server",
"--host",
"0.0.0.0",
"--port",
"19091",
"--models-preset",
"/servers/run/model-profiles/llcpp6-router.ini",
"--models-max",
"1",
"--log-verbosity",
"3"
],
"autoload_enabled": true,
"published_properties": {
"role": "router",
"max_instances": 1,
"models_autoload": true,
"model_alias": "llama-server",
"model_path": "none",
"default_generation_settings": {
"params": null,
"n_ctx": 0
},
"ui_settings": {},
"build_info": "b1-70adb1b",
"cors_proxy_enabled": false
},
"ui_reachable": true,
"ui_endpoint": "http://arcangle:19091/",
"ui_probe": {
"ok": true,
"status": 200,
"body": "\u001f\ufffd\b\b\ufffd\ufffd\ufffdj\u0000\u0003index.html\u0000\ufffd[\ufffdn\ufffd6\u0010}\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffdH\ufffd%Y\ufffd\ufffdv\ufffd\ufffd\ufffd\u0002)\u0697\ufffd\ufffdy\fhil\ufffd\ufffdDU\ufffd\u001dy\ufffd\ufffd\ufffd\u000e\ufffdK\ufffdv\ufffd8]\ufffd\u0000\ufffd\u063ap8\ufffd9C\u000e\ufffd\u0013y\ufffd\u03b6\ufffd\ufffd|N\ufffd \ufffdG\ufffd\ufffdT\ufffd\ufffd,\ufffd,K\b_\u0012\ufffd\u0002YV\ufffd\ufffdP$\u000eZ\ufffd\ufffd\ufffdn-y\ufffd\fi\ufffdm\ufffd\n\n\ufffd\ufffd\ufffd\ufffd,\ufffdM\ufffd]\ufffd\ufffd\ufffd1\b\ufffdj]qRpI a\u0012\r\ufffd\ufffd\ufffde@\u0012VA,\ufffd\ufffd\ufffd\ufffd\ufffdIN\u001f\ufffd\ufffd)-V .H\u0005K\ufffd\ufffd\ufffdC\ufffd\u000e\u0016\ufffd\ufffd\ufffd\"\u0002+0^\u0010V4\ufffd?]\ufffdx\ufffd\ufffd\u04f5\ufffd\ufffd\ufffd\ufffd]\ufffdc\ufffd-\ufffd\ufffd2\ufffd\ufffdZ\u001dH\ufffd\ufffd\ufffd\u0016\u0014\ufffde\ufffd3K\ufffd&x\ufffd\ufffdr\ufffdT=\ufffd\u0012 "
}
},
"health": {
"ok": true,
"probe": {
"ok": true,
"status": 200,
"body": "{\"status\":\"ok\"}"
}
},
"openclaw": {
"ok": true,
"state": {
"status": "logical-pinned",
"expected_model": "qwen36-27b-neocoder-q4",
"eliska_target_slug": "qwen36-27b-neocoder-q4",
"eliska_target_label": "Qwen 3.6 27B NeoCode Q4",
"loaded_model": "qwen36-27b-neocoder-q4",
"loaded_models": [
"qwen36-27b-neocoder-q4"
],
"target_resident": true,
"expected_openclaw_model": "arc/eliska",
"openclaw_model": "arc/eliska",
"synchronized": true,
"error": "",
"sessions": {
"preserved": true,
"reason": "stable logical model identity"
},
"state_file": "/servers/run/state/openclaw-sync-state.json",
"settings": {
"eliska_target_slug": "qwen36-27b-neocoder-q4",
"logical_model": "arc/eliska",
"provider_base_url": "http://127.0.0.1:19092/v1",
"grace_seconds": 5,
"updated_at": "2026-08-24T12:19:02-04:00",
"file": "/servers/run/state/openclaw-sync-settings.json"
},
"proxy_model_id": "eliska",
"logical_model": "arc/eliska",
"grace_seconds": 5
}
}
},
"drift": false,
"drift_reasons": [],
"active_transaction": false,
"last_transaction": {
"transaction_id": "router-policy-1786441931742352942-2526832",
"committed_at": "2026-08-11T09:52:22.655810+00:00",
"policy_hash": "8a96fb20e0bba40b286ebcd647083f6907d0f724beda4797217c302a9ba55418",
"launcher_hash": "48c6780dafe9172bddb1203a0be457f18a5bc0514c5233c090007157f5bdfbb9",
"expected_argv_hash": "c8b0040927d0882fee01282c0a11308b5374d9b463cb41261e806fba48356f9b",
"source_commit": "9d926612a9aab5953cf53c2ed56bc3f05464e8f6",
"generator_version": "1.0.0",
"verification": {
"ok": true,
"errors": [],
"systemd": {
"ok": true,
"exec_start": "/servers/run/generated/router-launch.sh",
"raw": "{ path=/servers/run/generated/router-launch.sh ; argv[]=/servers/run/generated/router-launch.sh ; ignore_errors=no ; start_time=[Tue 2026-08-11 05:52:14 EDT] ; stop_time=[n/a] ; pid=2544865 ; code=(null) ; status=0/0 }",
"environment": "HOME=/home/uriel PYTHONUNBUFFERED=1",
"policy_override": false,
"error": ""
},
"live": {
"ok": true,
"pid": 2544865,
"argv": [
"/servers/llcppx/build/bin/llama-server",
"--host",
"0.0.0.0",
"--port",
"19091",
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