chore: v1.0.5 — detect PP/TG from n_decoded vs baseline

This commit is contained in:
Troed Sångberg
2026-07-08 13:10:44 +02:00
commit 04baa5b053
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# oc-ls-stats
A TUI plugin for OpenCode that displays live prefill rate (PP) and generation rate (TG) from a llama.cpp-based llama-server.
There are many plugins to show tokens per second, but the reason for this one is that when running a local model I often found myself not knowing what the server was currently doing, which meant constantly switching over to a console where I could see its output. Especially during prefill/prompt processing which can take more than a minute with no feedback in the UI from other plugins I tried.
Another motivation was to display the data of interest, but in a non-intrusive way with no UI elements jumping around. This plugin thus only shows a single numeric value, tokens per second, with an indicator as to whether the model is currently doing prompt processing or inference (token generation).
I'm using the llama-server /slots endpoint to get the needed data, which means if you connect opencode to another provider the plugin will just display "-" since it's not getting any data to display.
Note: As explained in further detail below the data that's displayed has to be deduced from llama-server's output. Sometimes the plugin might display PP for prompt processing while in reality the model is doing TG. If additional developments are made to the llama-server output data the plugin might be able to discern between them in a better way, but I think is as good as it gets for now.
I made this for my own usage. If you find it useful as well I'm just happy.
/Troed
_thanks to Tarquinen for their [oc-tps](https://github.com/Tarquinen/oc-tps), which I used as a base although I guess most of the code has now been replaced_
## Display Format
The plugin renders a single line in the session prompt right slot:
```
1247 tps (PP) -- during prefill
25 tps (TG) -- during generation
- tps (TG) -- idle
```
## Detection and Calculation
### Server Discovery
The plugin discovers the llama-server URL by reading the OpenCode configuration file (parsed as JSONC) and extracting `baseURL`/`base_url` fields from provider options that contain "localhost". Falls back to `http://localhost:8080`.
### Slot Polling
Every 500ms, the plugin polls `GET /slots?model=<model>` on each discovered server. The model parameter is required by the `/slots` endpoint. If the model cannot be discovered from the current route's session, the plugin skips polling.
### State Classification
Each slot is classified as prefill or generation based on the `n_decoded` counter in `next_token[0]`. The plugin tracks a per-slot baseline value:
1. When a slot first appears as processing, the current `n_decoded` is recorded as the baseline with `hasIncreased = false`.
2. If `n_decoded <= baseline` and `hasIncreased` is false, the slot is classified as prefilling.
3. If `n_decoded > baseline`, `hasIncreased` is set to true and the slot is classified as generating.
This approach handles the case where `n_decoded` drops when a new request starts on a reused slot, and prevents generation stalls (where `n_decoded` plateaus) from being misclassified as prefill.
When no slots are processing, all tracked state for those slots is cleared.
### Prefill Rate (PP)
During prefill, the plugin calculates the instantaneous prompt processing rate:
1. On first detection of a prefill slot, the current `n_prompt_tokens` is captured as the baseline.
2. On subsequent polls, the delta in `n_prompt_tokens` is divided by the elapsed time in seconds.
3. The rate is updated only when both `dt > 0` and `delta > 0`.
The per-slot `n_prompt_tokens` field is used instead of the global `llamacpp:prompt_tokens_total` from `/metrics` because the global counter includes tokens from all slots, producing inflated values when multiple slots are active simultaneously.
### Generation Rate (TG)
During generation, the plugin calculates the instantaneous token generation rate:
1. On first detection of a generation slot, the current `n_decoded` is captured as the baseline.
2. On subsequent polls (same slot ID), the delta in `n_decoded` is divided by the elapsed time in seconds.
3. The rate is updated only when both `dt > 0` and `delta > 0`.
Slot reuse is tracked via `generateSlotId` to detect when a new generation starts on a different slot.
## Limitations
### Progress Percentage
The plugin cannot display prefill progress percentage. The `/slots` endpoint returns `n_prompt_tokens` (current prompt size) and `n_prompt_tokens_processed` (tokens processed), but not the final prompt size (`task->n_tokens()` from llama.cpp). Progress requires the ratio `n_prompt_tokens_processed / task->n_tokens()`.
### What Would Improve Compatibility
The following changes to the `/slots` endpoint would improve the plugin's functionality:
1. **Expose final prompt size**: Add `n_prompt_tokens_total` (or `n_tokens`) to the `/slots` output, representing `task->n_tokens()` from llama.cpp. This would enable prefill progress percentage calculation as `(n_prompt_tokens_processed / n_prompt_tokens_total) * 100`.
2. **Per-slot metrics endpoints**: Currently, the `/metrics` endpoint provides only global counters (`llamacpp:prompt_tokens_total`, `llamacpp:prompt_tokens_seconds`). Per-slot metrics would allow independent rate tracking without relying on slot state classification.
3. **Slot transition notifications**: The plugin polls every 500ms to detect state transitions. A WebSocket or SSE-based notification system for slot state changes would reduce polling overhead and improve detection latency.
4. **Stall detection**: When generation stalls (e.g., due to context window limits), `n_decoded` remains constant while `n_remain` stops decreasing. The plugin detects this via zero delta but has no way to distinguish a stall from normal generation. An explicit `stalled` flag in the slot output would help.
5. **Model-agnostic slot data**: The `/slots` endpoint requires a model parameter. Returning all slots without model filtering, or supporting `*` as a wildcard, would simplify discovery when multiple models are loaded.
## Installation
```bash
opencode plugin @troed/oc-ls-stats@latest --global
```
Requires `opencode` `1.3.14` or newer.
TUI plugins are loaded from `~/.config/opencode/tui.json`:
```json
{"plugin": ["@troed/oc-ls-stats@latest"]}
```
## Debug Logging
Debug logging is controlled by the `DEBUG_ENABLED` constant in `tui.tsx`. When enabled, full slot state data is written to `/tmp/oc-ls-stats-debug.log` on every poll.
## License
Creative Commons Zero (CC0 1.0 Universal)
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{
"$schema": "https://json.schemastore.org/package.json",
"name": "@troed/oc-ls-stats",
"version": "1.0.5",
"type": "module",
"exports": {
"./tui": {
"import": "./tui.tsx"
}
},
"engines": {
"opencode": ">=1.3.14"
},
"peerDependencies": {
"@opencode-ai/plugin": "*",
"@opentui/core": "*",
"@opentui/solid": "*",
"solid-js": "*"
}
}
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/** @jsxImportSource @opentui/solid */
import type { TuiPlugin, TuiPluginModule } from "@opencode-ai/plugin/tui"
import { createMemo, createSignal } from "solid-js"
import { appendFileSync } from "fs"
const DEBUG_ENABLED = false
const DEBUG_LOG = "/tmp/oc-ls-stats-debug.log"
function debug(...args: unknown[]) {
if (!DEBUG_ENABLED) return
try {
const line = `${args.map(a => typeof a === "object" ? JSON.stringify(a) : String(a)).join(" ")}\n`
appendFileSync(DEBUG_LOG, line)
} catch {}
}
type StreamSample = {
at: number
tokens: number
}
const STREAM_WINDOW_MS = 5_000
const SLOT_POLL_MS = 500
type MessageTiming = {
sessionID: string
requestStartAt: number
firstResponseAt?: number
firstTokenAt?: number
lastTokenAt?: number
}
type TrackerState = {
streamSamplesBySession: Record<string, StreamSample[]>
messageTimingByID: Record<string, MessageTiming>
lastPrefillRate: number
lastGeneratedTps: number
isPrefilling: boolean
prefillSlotId: number | null
prefillCapturedTokens: number | null
prefillStartAt: number
isGenerating: boolean
generateSlotId: number | null
generatePrevNd: number
generateStartAt: number
prevNdBySlot: Record<number, { baseline: number; hasIncreased: boolean }>
failure: string | null
}
function estimateStreamTokens(delta: string) {
return Math.max(1, Math.ceil(Buffer.byteLength(delta, "utf8") / 5))
}
function parseJSONC(text: string): unknown {
let result = ""
let inString = false
let escape = false
let i = 0
while (i < text.length) {
const ch = text[i]
if (escape) {
result += ch
escape = false
i++
continue
}
if (ch === "\\") {
result += ch
escape = true
i++
continue
}
if (ch === '"') {
result += ch
inString = !inString
i++
continue
}
if (inString) {
result += ch
i++
continue
}
if (ch === "/" && text[i + 1] === "/") {
while (i < text.length && text[i] !== "\n") i++
continue
}
if (ch === "/" && text[i + 1] === "*") {
i += 2
while (i < text.length - 1 && !(text[i] === "*" && text[i + 1] === "/")) i++
i += 2
result += " "
continue
}
if (ch === ",") {
const next = text.indexOf(/[\s}\]]/, i + 1)
if (next !== -1 && /[\s}\]]/.test(text[next])) {
i++
continue
}
}
result += ch
i++
}
return JSON.parse(result)
}
function stripBaseUrlPath(baseURL: string): string {
try {
const url = new URL(baseURL)
return `${url.origin}`
} catch {
return baseURL.replace(/\/v1(\/.*)?$/, "").replace(/\/$/, "") || baseURL
}
}
function extractProviderUrls(config: unknown): string[] {
if (!config || typeof config !== "object") return []
const obj = config as Record<string, unknown>
const provider = obj.provider
if (!provider || typeof provider !== "object") return []
const urls: string[] = []
for (const [_key, val] of Object.entries(provider as Record<string, unknown>)) {
if (val && typeof val === "object") {
const opts = (val as Record<string, unknown>).options
if (opts && typeof opts === "object") {
const baseURL = (opts as Record<string, unknown>).baseURL || (opts as Record<string, unknown>).base_url
if (typeof baseURL === "string" && baseURL.includes("localhost")) {
urls.push(stripBaseUrlPath(baseURL))
}
}
}
}
return urls
}
async function loadConfigUrls(api: Parameters<TuiPlugin>[0]): Promise<string[]> {
try {
const configPath = api.state.path.config
const resp = await fetch(`file://${configPath}`)
if (!resp.ok) return []
const text = await resp.text()
const config = parseJSONC(text)
return extractProviderUrls(config)
} catch {
return []
}
}
async function fetchSlots(baseUrl: string, model?: string): Promise<unknown | null> {
try {
const url = model ? `${baseUrl}/slots?model=${encodeURIComponent(model)}` : `${baseUrl}/slots`
const resp = await fetch(url)
if (!resp.ok) return null
return await resp.json()
} catch {
return null
}
}
function formatPps(value: number) {
if (!Number.isFinite(value) || value <= 0) return undefined
return `${Math.round(value)}`
}
function formatTps(value: number) {
if (!Number.isFinite(value) || value <= 0) return undefined
return `${Math.round(value)}`
}
function SessionPromptRight(props: {
api: Parameters<TuiPlugin>[0]
sessionID: string
tracker: TrackerState
version: () => number
clock: () => number
}) {
const liveTps = createMemo(() => {
props.version()
props.clock()
const rate = props.tracker.lastGeneratedTps
if (!Number.isFinite(rate) || rate <= 0) return undefined
return rate
})
const prefillRate = createMemo(() => {
props.version()
if (!props.tracker.isPrefilling) return undefined
const rate = props.tracker.lastPrefillRate
if (!Number.isFinite(rate) || rate <= 0) return undefined
return rate
})
const text = createMemo(() => {
if (props.tracker.failure) return props.tracker.failure
const pp = prefillRate()
const tps = liveTps()
if (props.tracker.isPrefilling && pp) {
return `${formatPps(pp)} tps (PP)`
}
if (props.tracker.isGenerating && tps) {
return `${formatTps(tps)} tps (TG)`
}
return `- tps (TG)`
})
return <>{text() ? <text fg={props.api.theme.current.textMuted}>{text()}</text> : null}</>
}
const tui: TuiPlugin = async (api) => {
console.log("[oc-ls-stats] TUI plugin loaded!")
const tracker: TrackerState = {
streamSamplesBySession: {},
messageTimingByID: {},
lastPrefillRate: 0,
lastGeneratedTps: 0,
isPrefilling: false,
prefillSlotId: null,
prefillCapturedTokens: null,
prefillStartAt: 0,
isGenerating: false,
generateSlotId: null,
generatePrevNd: 0,
generateStartAt: 0,
prevNdBySlot: {},
failure: null,
}
const [version, setVersion] = createSignal(0)
const [clock, setClock] = createSignal(Date.now())
const bump = () => setVersion((value) => value + 1)
const pruneSamples = (now = Date.now()) => {
let changed = false
for (const [sessionID, samples] of Object.entries(tracker.streamSamplesBySession)) {
const next = samples.filter((sample) => now - sample.at <= STREAM_WINDOW_MS)
if (next.length !== samples.length) {
changed = true
if (next.length > 0) tracker.streamSamplesBySession[sessionID] = next
else delete tracker.streamSamplesBySession[sessionID]
}
}
if (changed) bump()
}
const clearLiveSamples = (sessionID: string) => {
if (!tracker.streamSamplesBySession[sessionID]?.length) return
delete tracker.streamSamplesBySession[sessionID]
bump()
}
const appendSample = (sessionID: string, messageID: string, sample: StreamSample) => {
const now = sample.at
tracker.streamSamplesBySession[sessionID] = [
...(tracker.streamSamplesBySession[sessionID] ?? []).filter((item) => now - item.at <= STREAM_WINDOW_MS),
sample,
]
const timing = tracker.messageTimingByID[messageID]
if (timing) {
tracker.messageTimingByID[messageID] = timing.firstTokenAt
? { ...timing, lastTokenAt: now }
: {
...timing,
firstResponseAt: timing.firstResponseAt ?? now,
firstTokenAt: now,
lastTokenAt: now,
}
}
bump()
}
let llamaServerUrls: string[] = ["http://localhost:8080"]
let llamaServerModel: string | undefined
const pollMetrics = async () => {
if (!llamaServerUrls.length) return
let model = llamaServerModel
if (!model) {
const routeSessionID = api.route.current.params?.sessionID
if (routeSessionID) {
const session = api.state.session.get(routeSessionID)
if (session?.model?.id) {
model = session.model.id
}
}
}
let anyPrefilling = false
let anyGenerating = false
let genEnded = false
const prevProcessingSlotIds = new Set(Object.keys(tracker.prevNdBySlot).map(Number))
const currProcessingSlotIds = new Set<number>()
for (const baseUrl of llamaServerUrls) {
const slots = await fetchSlots(baseUrl, model)
const slotList = Array.isArray(slots) ? slots : slots ? Object.values(slots) : []
if (slotList.length === 0) {
tracker.failure = "n/a"
bump()
continue
}
tracker.failure = null
debug(`poll baseUrl=${baseUrl} slots=${JSON.stringify(slotList)}`)
for (const slot of slotList) {
if (slot?.is_processing) {
currProcessingSlotIds.add(slot.id)
}
}
for (const slotId of prevProcessingSlotIds) {
if (!currProcessingSlotIds.has(slotId)) {
delete tracker.prevNdBySlot[slotId]
}
}
let prefillSlot: any = null
let generateSlot: any = null
for (const slot of slotList) {
if (!slot?.is_processing) continue
const slotId = slot.id
const nd = slot.next_token?.[0]?.n_decoded ?? 0
const entry = tracker.prevNdBySlot[slotId]
const baseline = entry?.baseline ?? nd
const hasIncreased = entry?.hasIncreased ?? false
if (!hasIncreased && nd <= baseline) {
prefillSlot = slot
break
} else if (nd > baseline) {
tracker.prevNdBySlot[slotId] = { baseline, hasIncreased: true }
generateSlot = slot
}
}
for (const slot of slotList) {
if (slot?.is_processing) {
const slotId = slot.id
const nd = slot.next_token?.[0]?.n_decoded ?? 0
const entry = tracker.prevNdBySlot[slotId]
if (entry === undefined) {
tracker.prevNdBySlot[slotId] = { baseline: nd, hasIncreased: false }
}
}
}
if (prefillSlot) {
anyPrefilling = true
const slotId = prefillSlot.id
const now = Date.now()
const nt = prefillSlot.n_prompt_tokens ?? 0
if (tracker.prefillSlotId === slotId) {
const dt = (now - tracker.prefillStartAt) / 1000
const delta = nt - tracker.prefillCapturedTokens!
if (dt > 0 && delta > 0) {
tracker.lastPrefillRate = delta / dt
}
} else {
tracker.prefillSlotId = slotId
tracker.prefillCapturedTokens = nt
tracker.prefillStartAt = now
tracker.lastPrefillRate = 0
debug(`prefill new slot id=${slotId} nt=${nt}`)
}
} else {
if (tracker.isPrefilling) {
tracker.prefillSlotId = null
tracker.prefillCapturedTokens = null
tracker.prefillStartAt = 0
}
}
if (generateSlot) {
anyGenerating = true
const slotId = generateSlot.id
const now = Date.now()
const nd = generateSlot.next_token?.[0]?.n_decoded ?? 0
if (tracker.generateSlotId === slotId) {
const dt = (now - tracker.generateStartAt) / 1000
const delta = nd - tracker.generatePrevNd
if (dt > 0 && delta > 0) {
tracker.lastGeneratedTps = delta / dt
debug(`gen slot=${slotId} nd=${nd} prev=${tracker.generatePrevNd} delta=${delta} dt=${dt.toFixed(2)} tps=${tracker.lastGeneratedTps.toFixed(1)}`)
}
tracker.generatePrevNd = nd
tracker.generateStartAt = now
} else {
tracker.generateSlotId = slotId
tracker.generatePrevNd = nd
tracker.generateStartAt = now
tracker.lastGeneratedTps = 0
debug(`gen new slot id=${slotId} nd=${nd}`)
}
} else {
if (tracker.isGenerating) {
tracker.generateSlotId = null
tracker.generatePrevNd = 0
tracker.generateStartAt = 0
tracker.lastGeneratedTps = 0
genEnded = true
debug(`gen no slot found ending`)
}
}
tracker.isPrefilling = anyPrefilling
tracker.isGenerating = anyGenerating
}
if (tracker.lastPrefillRate > 0 || tracker.lastGeneratedTps > 0 || genEnded) {
bump()
}
}
const onDelta = api.event.on("message.part.delta", (evt) => {
if (evt.properties.field !== "text") return
const parts = api.state.part(evt.properties.messageID)
const part = parts.find((item) => item.id === evt.properties.partID)
if (!part) return
if (part.type !== "text" && part.type !== "reasoning") return
appendSample(evt.properties.sessionID, evt.properties.messageID, {
at: Date.now(),
tokens: estimateStreamTokens(evt.properties.delta),
})
})
const onMessage = api.event.on("message.updated", (evt) => {
if (evt.properties.info.role !== "assistant") return
if (!evt.properties.info.time.completed) {
const existing = tracker.messageTimingByID[evt.properties.info.id]
tracker.messageTimingByID[evt.properties.info.id] = {
sessionID: evt.properties.sessionID,
requestStartAt: evt.properties.info.time.created,
firstResponseAt: existing?.firstResponseAt,
firstTokenAt: existing?.firstTokenAt,
lastTokenAt: existing?.lastTokenAt,
}
bump()
return
}
delete tracker.messageTimingByID[evt.properties.info.id]
pruneSamples(evt.properties.info.time.completed)
bump()
})
const onPart = api.event.on("message.part.updated", (evt) => {
if (evt.properties.part.type !== "tool") return
if (
evt.properties.part.state.status === "running" ||
evt.properties.part.state.status === "completed" ||
evt.properties.part.state.status === "error"
) {
clearLiveSamples(evt.properties.sessionID)
}
const timing = tracker.messageTimingByID[evt.properties.part.messageID]
if (!timing) return
if (evt.properties.part.state.status === "pending") {
tracker.messageTimingByID[evt.properties.part.messageID] = {
...timing,
firstResponseAt: timing.firstResponseAt ?? evt.properties.time,
}
bump()
return
}
if (evt.properties.part.state.status !== "running") return
bump()
})
const timer = setInterval(() => {
setClock(Date.now())
pruneSamples()
}, 1000)
const slotTimer = setInterval(async () => {
await pollMetrics()
}, SLOT_POLL_MS)
api.lifecycle.onDispose(() => {
onDelta()
onMessage()
onPart()
clearInterval(timer)
clearInterval(slotTimer)
})
try {
if (!llamaServerUrls.length) {
llamaServerUrls = await loadConfigUrls(api)
}
} catch (e) {
console.error("[oc-ls-stats] loadConfigUrls error:", e)
}
api.slots.register({
slots: {
session_prompt_right(_ctx, value) {
return <SessionPromptRight api={api} sessionID={value.session_id} tracker={tracker} version={version} clock={clock} />
},
},
})
}
const plugin: TuiPluginModule & { id: string } = {
id: "@troed/oc-ls-stats",
tui,
}
export default plugin