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LLeMbas-CLI/src/session/engine.ts
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HomerandClaude Opus 5.5 82918ba5a8
ci / check (push) Canceled after 0s
LLeMbas CLI 1.5.1
An image counted as half a million tokens: the context estimate measured its
base64 as text, so a 1-3 MB screenshot read as "context at 150-280%" the
moment view_image added it, and the session compacted after every image.
An image now counts by its dimensions (28 px patches, at most 16k tokens, a
flat 1600 when unreadable) everywhere the CLI estimates -- the meter, pruning,
/context and the no-usage fallback of all five dialects. Images over 1600 px
or 500 KB are shrunk to 1600 px when ImageMagick is there.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-23 21:24:31 +00:00

820 lines
41 KiB
TypeScript

// The agent loop. Stream a reply; if it called tools, check each call against the permission
// engine (asking the user when needed), run what is allowed, feed the results back, repeat.
// It ends when a reply calls nothing, when stopped, or at the step ceiling — which is a runaway
// backstop, not a budget (LLeMbas generation._run / _wrap_up).
// The text is the harness spec's, so LLeMbas's Continue sends the same words.
import continueText from "../../harness/prompts/tasks/continue.md" with { type: "text" }
import type { Asker, AttachmentInfo, Bus } from "../bus/index.ts"
import type { Effort, Mode } from "../config/schema.ts"
import { evaluate, shadowsDeny, type Context as PermContext, type Rule } from "../permission/evaluate.ts"
import { ProviderError, type Client, type ImagePart, type Message, type ResolvedModel, type ToolCallPart, type Usage } from "../provider/types.ts"
import type { Plan } from "../plan/plan.ts"
import { LOOP } from "../harness.ts"
import { fillPrompt } from "../prompt/fill.ts"
import { splitPurpose, toSpec, ToolError, type Tool, type ToolContext, type ToolResult } from "../tool/tool.ts"
import { fill, promptText } from "../prompt/assemble.ts"
import { resolveCall } from "../tool/names.ts"
import { contextWindow } from "../provider/discover.ts"
import { summaryTurns, type Store } from "./store.ts"
import { estimateTokens, estimateValue } from "../provider/tokens.ts"
import { duration } from "../duration.ts"
export interface EngineOptions {
bus: Bus
asker: Asker
client: Client
model: ResolvedModel
tools: Tool[]
store?: Store
sessionId?: string
/** The system prompt for a step; `plan`: the session's plan, for `{{plan_context}}`. */
system: (mode: Mode, model: ResolvedModel, plan?: Plan) => string
mode: Mode
effort: Effort | null
perm: Omit<PermContext, "mode">
toolCtx: Omit<ToolContext, "signal">
maxSteps?: number
/** Budgets for one prompt (harness spec loop.json, from LLeMbas): time not counting waiting for
* the user, the bytes of tool output read, the tokens written. Unset: no budget. */
budget?: { wall_seconds?: number; output_bytes?: number; completion_tokens?: number }
/** Rules added by "always allow (project)" are handed here to persist. */
persistRule?: (rule: Rule) => void
compaction?: { autoAt?: number; prune?: boolean }
/** Starts a subagent for the task tool; absent in a subagent. */
spawn?: ToolContext["spawn"]
/** The model to switch to when this one's server cannot be reached (its `fallback` list), or
* undefined when there is none left to try. */
fallback?: (current: ResolvedModel, tried: Set<string>) => { model: ResolvedModel; client: Client; effort: Effort | null } | undefined
/** What a message sent mid-turn starts with: the user's words for a session, the main agent's for
* a subagent (loop.json jobs.marks to_subagent). */
steerMark?: string
}
/** What a prompt carries besides its text. */
export interface PromptMeta {
turnId?: string
attachments?: AttachmentInfo[]
/** The harness started this turn — a job's note — not the person. */
machine?: true
}
const MAX_PARALLEL = LOOP.parallel.max
const PRUNED = "[This output was removed to save context. Run the tool again if you need it.]"
/** What a message sent mid-turn starts with. Said, not hidden: Hermes found that a model refuses an
* unmarked one as an injection. A resumed session shows the message without it. */
/** What /continue (ctrl+g) sends: carry on after being stopped, or after an answer that ended
* too soon. */
export const CONTINUE_PROMPT = continueText.replace(/<!--[\s\S]*?-->\n?/g, "").trim()
export const STEER_MARK = "[The user sent this while you were working — take it into account from here:]"
/** The mark on a finished command's note (the spec's text; jobs/note.ts composes the notes). */
export const JOB_MARK = LOOP.jobs.marks.command
/** Neighbouring user messages as one: a message sent mid-turn after the image message, or after a
* nudge, would otherwise be two user turns in a row, which strict chat templates (llama.cpp's
* Jinja ones) refuse. Anthropic and Gemini merge them anyway. */
export function mergeUsers(messages: Message[]): Message[] {
const out: Message[] = []
for (const m of messages) {
const last = out[out.length - 1]
if (m.role === "user" && last?.role === "user") out[out.length - 1] = { role: "user", parts: [...last.parts, ...m.parts] }
else out.push(m)
}
return out
}
const NO_ANSWER =
"Your last reply contained only thinking and no answer, so the user saw nothing. Write your reply to the user now."
const CUT_THINKING =
"Your last reply hit the output limit while you were still thinking, so nothing was said or done. Think less this time: act now with a tool call, or answer."
const CUT_TEXT = "Your last reply was cut off at the output limit. Carry on from exactly where it stopped."
/** Replies in a row that say nothing (only thinking, or cut off) get asked again this many times. */
const MAX_NUDGES = LOOP.nudges.max
/** The wrap-up: the spec's words, with which limit was reached. */
const wrapUpText = (limit: string) => fillPrompt(LOOP.wrap_up.message, { limit })
/** The session_meta key the plan is kept under. */
export const PLAN_META = "plan"
export class Engine {
messages: Message[] = []
mode: Mode
private _effort: Effort | null
usage: Usage | undefined
/** messages.length when `usage` was reported: everything after it is not yet counted. */
usageAt = 0
/** The user message that started the running turn, and automatic compactions within it. */
private turnPrompt: Message | undefined
private autoCompactions = 0
model: ResolvedModel
client: Client
sessionId: string | undefined
busy = false
/** Store row id of the last message pushed (for /undo ranges). */
lastRowId = 0
/** Output of `!` commands, sent along with the next prompt. */
pendingContext: string[] = []
/** Messages the user sent while a task runs, not yet given to the model. */
private inbox: string[] = []
/** Beside the inbox, entry for entry: the id the sender gave a message (the web UI's message id), so where it was taken in can be shown at that point of the reply. */
private inboxIds: (string | undefined)[] = []
/** What happened while the task ran that is not the user's word: background jobs that finished,
* a subagent's message. Each begins with its mark (jobs/note.ts). Given to the model at the next
* step, like a steer; left over at the end, `takeNotes` hands them out to start a turn of their own. */
private notes: string[] = []
/** Those given to the model in this turn: kept word for word through a compaction, like the prompt. */
private turnSteers: string[] = []
/** busy_input: steer — the inbox goes in at the next step; queue — it waits for the task to end. */
busyInput: "steer" | "queue" = "steer"
/** The session's plan (plan_write / plan_update), kept with the session and put into the
* prompt on every step while it exists. */
plan: Plan | undefined
private sessionRules: Rule[] = []
private recentCalls: string[] = []
/** Tools refused with no one able to approve them: no longer offered. */
private withdrawn = new Set<string>()
/** This prompt's spending, against `budget`: time waiting for the user, tool output, tokens written. */
private turnWaitedMs = 0
private turnOutputBytes = 0
private turnCompletion = 0
private abort: AbortController | undefined
/** The step's "background now" signal (ToolContext.backgroundNow), while its tools run. */
private bgNow: AbortController | undefined
constructor(readonly o: EngineOptions) {
this.mode = o.mode
this._effort = o.effort
this.model = o.model
this.client = o.client
this.sessionId = o.sessionId
this.plan = this.storedPlan()
}
/** The plan the store holds for this session, if any. */
private storedPlan(): Plan | undefined {
if (!this.o.store || !this.sessionId) return undefined
const p = this.o.store.meta<Plan | null>(this.sessionId, PLAN_META)
return p && typeof p === "object" && "version" in p ? p : undefined
}
/** Replace the plan (null clears it): kept with the session, and said on the bus so every
* front end's card follows. */
setPlan(plan: Plan | null) {
this.plan = plan ?? undefined
if (this.o.store && this.sessionId) this.o.store.setMeta(this.sessionId, PLAN_META, plan)
this.o.bus.emit({ type: "plan", plan: this.plan })
}
get effort(): Effort | null {
return this._effort
}
/** Said on the bus when it changes: the web UI's chat shows the device's model and effort,
* whoever changed them. */
set effort(v: Effort | null) {
if (v === this._effort) return
this._effort = v
this.o.bus.emit({ type: "model", ref: this.model.ref, effort: v ?? "off", connection: this.model.connectionName })
}
/** Switch model mid-session. The conversation carries over; the effort resets to the new model's. */
setModel(model: ResolvedModel, client: Client, effort: Effort | null) {
const changed = model.ref !== this.model.ref || effort !== this._effort
this.model = model
this.client = client
this._effort = effort
if (changed) this.o.bus.emit({ type: "model", ref: model.ref, effort: effort ?? "off", connection: model.connectionName })
}
/** Start over: a fresh conversation (and session row). Approvals given "for the session" end. */
newSession(sessionId: string | undefined) {
this.messages = []
this.usage = undefined
this.sessionId = sessionId
this.sessionRules = []
this.recentCalls = []
this.withdrawn.clear()
// A new session's plan is whatever the store holds for it: none for a fresh one, the old one
// on a resume.
this.plan = this.storedPlan()
this.o.bus.emit({ type: "plan", plan: this.plan })
this.o.toolCtx.readFiles.clear()
this.o.toolCtx.fileStamps.clear()
}
/** Continue a stored session. Files must be read again before they are changed. */
resume(sessionId: string, messages: Message[]) {
this.newSession(sessionId)
this.messages = messages
}
/** Replace the conversation with a summary of it (/compact). */
async compact(): Promise<string> {
if (this.busy) throw new Error("busy")
if (this.messages.length < 2) throw new Error("nothing to compact yet")
this.busy = true
this.abort = new AbortController()
try {
return await this.summarise(this.abort.signal)
} finally {
this.busy = false
}
}
private async summarise(signal: AbortSignal): Promise<string> {
const previous = this.messages[0]?.role === "user" && this.messages[0].parts[0]?.type === "text" && this.messages[0].parts[0].text.startsWith("The earlier part of this conversation was compacted")
? this.messages[0].parts[0].text
: ""
const prompt = fill(promptText("tasks/compact.md"), {
previous_summary: previous ? `## Summary of even earlier turns\n\n${previous}` : "",
transcript: transcript(this.messages, 60_000),
})
let summary = ""
for await (const ev of this.client.stream({ system: "", messages: [{ role: "user", parts: [{ type: "text", text: prompt }] }], tools: [], effort: null, signal }))
if (ev.type === "finish") summary = ev.message.parts.filter((p) => p.type === "text").map((p) => (p as { text: string }).text).join("").trim()
if (!summary) throw new Error("the model returned an empty summary")
if (this.o.store && this.sessionId) this.o.store.compaction(this.sessionId, summary)
this.messages = summaryTurns(summary)
this.usage = undefined
this.usageAt = 0
// Said on the bus: the web UI marks the point in a shared session, as the TUI does.
this.o.bus.emit({ type: "compacted", summary })
return summary
}
/** Tokens in use now: the last reported usage plus an estimate of what was added since. The
* reply's thinking is left out where the dialect never sends it back (openai-chat): it is in the
* last reply's output but will not be in the next request. */
contextUsed(): number | undefined {
if (!this.usage) return undefined
return this.usage.input + this.usage.output - this.droppedThinking() + estimateValue(this.messages.slice(this.usageAt))
}
private droppedThinking(): number {
if (!this.usage || this.model.connection.dialect !== "openai-chat") return 0
const reply = this.messages[this.usageAt - 1]
if (reply?.role !== "assistant") return 0
const estimate = reply.parts.reduce((n, p) => n + (p.type === "reasoning" ? estimateTokens(p.text) : 0), 0)
return Math.min(this.usage.output, this.usage.reasoning ?? estimate)
}
/** Replace the content of old tool results, keeping the most recent `protect` tokens whole.
* Returns the tokens saved. (OpenCode prunes the same way before it summarises.) */
prune(protect: number): number {
let recent = 0
let saved = 0
for (let i = this.messages.length - 1; i >= 0; i--) {
const m = this.messages[i]!
const size = estimateValue(m)
if (recent < protect) {
recent += size
continue
}
if (m.role === "tool" && m.content.length > 400 && !m.content.startsWith(PRUNED)) {
saved += estimateTokens(m.content) - estimateTokens(PRUNED)
this.messages[i] = { ...m, content: PRUNED }
}
}
return saved
}
/** Before a step: past compaction.auto_at of the window, prune; if that is not enough, compact. */
private async manageContext(signal: AbortSignal) {
const window = contextWindow(this.model)
const autoAt = this.o.compaction?.autoAt ?? 0.85
if (!window || autoAt >= 1) return
const limit = window * autoAt
let used = this.contextUsed()
if (used === undefined || used < limit) return
if (this.o.compaction?.prune !== false) {
const saved = this.prune(Math.min(40_000, Math.floor(window * 0.3)))
if (saved > 0) {
used -= saved
this.o.bus.emit({ type: "notice", message: `context at ${Math.round(((used + saved) / window) * 100)}%: pruned old tool outputs, ~${saved} tokens freed` })
}
if (used < limit) return
}
// Compacting again and again within one turn loses more each time: the window is simply too
// small for the task. Say so once and stop, rather than summarising in circles.
if (this.autoCompactions >= 2) {
if (this.autoCompactions === 2) {
this.autoCompactions++
this.o.bus.emit({ type: "notice", message: `the ${window}-token window is too small for this task even after compacting twice; carrying on without compacting again — a model with a larger window would do better` })
}
return
}
this.autoCompactions++
this.o.bus.emit({ type: "notice", message: `context at ${Math.round((used / window) * 100)}% of ${window}: compacting the conversation` })
try {
await this.summarise(signal)
// The task is never left to the summary: the prompt that started this turn comes back word
// for word (found on a real run, where a small model's summary lost the task entirely).
const original = this.turnPrompt?.role === "user" ? this.turnPrompt.parts : []
const steers = this.turnSteers.map((s) => ({ type: "text" as const, text: `(Sent while you were working:) ${s}` }))
this.push({
role: "user",
parts: [
...original,
...steers,
{ type: "text", text: "(The conversation was compacted to fit the context window; the summary above records what was done so far. This was the request — continue it from where the summary leaves off.)" },
],
})
this.o.bus.emit({ type: "notice", message: "compacted — carrying on from the summary, with your request kept word for word" })
} catch (e) {
this.o.bus.emit({ type: "notice", message: `automatic compaction failed: ${(e as Error).message}` })
}
}
/** Time spent waiting for the user does not count against the wall-clock budget: somebody who
* thinks for ten minutes about one command has not spent the agent's time. */
private async waiting<T>(p: Promise<T>): Promise<T> {
const t0 = performance.now()
try {
return await p
} finally {
this.turnWaitedMs += performance.now() - t0
}
}
/** Which budget this prompt has run past — `limit` names it for the wrap-up message, `said` is
* for the user's notice — or undefined while there is room. */
private overBudget(started: number): { limit: string; said: string } | undefined {
const b = this.o.budget
if (!b) return undefined
const spent = (performance.now() - started - this.turnWaitedMs) / 1000
if (b.wall_seconds && spent > b.wall_seconds) return { limit: "time budget", said: `after ${duration(spent * 1000, true)}` }
if (b.output_bytes && this.turnOutputBytes > b.output_bytes) return { limit: "tool output budget", said: "with too much tool output to read" }
if (b.completion_tokens && this.turnCompletion > b.completion_tokens) return { limit: "output budget", said: `after writing about ${this.turnCompletion.toLocaleString("en")} tokens` }
return undefined
}
/** Tools a model can use at all: view_image only with vision, plan_submit only in plan mode
* (`requires: "plan"`; plan_write and plan_update are offered in every mode). */
private offered(name: string): boolean {
const t = this.o.tools.find((x) => x.name === name)
if (name === "task" && !this.o.spawn) return false
if (!t?.requires) return true
if (t.requires === "vision") return this.model.spec.vision === true
if (t.requires === "project") return this.o.toolCtx.projectDir !== undefined
if (t.requires === "knowledge") {
const L = this.o.toolCtx.library
const have = L?.lib.bases().filter((b) => b.documents > 0).map((b) => b.name) ?? []
return have.some((b) => !L!.bases || L!.bases.includes(b))
}
return this.mode === "plan"
}
cancel() {
this.abort?.abort()
}
/** The person wants the foreground command running in this step in the background now (ctrl+b):
* bash hands it to the job registry and the call returns. False when no tools run. */
backgroundNow(): boolean {
if (!this.bgNow || this.bgNow.signal.aborted) return false
this.bgNow.abort()
return true
}
/** A message the user sent while a task runs. It goes to the model at the next step (steer), or
* is held for the task's end (queue, or a turn that ends first): `takeInbox` gives it back. */
enqueue(text: string, id?: string) {
this.inbox.push(text)
this.inboxIds.push(id)
this.o.bus.emit({ type: "inbox", texts: [...this.inbox], mode: this.busyInput })
}
/** How many messages wait. */
get queued(): number {
return this.inbox.length
}
/** Take one waiting message out (↑ in the box, to look at or edit it); `putBack` returns it. */
unqueue(index: number): string | undefined {
if (index < 0 || index >= this.inbox.length) return undefined
const [text] = this.inbox.splice(index, 1)
this.inboxIds.splice(index, 1)
this.o.bus.emit({ type: "inbox", texts: [...this.inbox], mode: this.busyInput })
return text
}
putBack(index: number, text: string) {
const at = Math.max(0, Math.min(index, this.inbox.length))
this.inbox.splice(at, 0, text)
this.inboxIds.splice(at, 0, undefined)
this.o.bus.emit({ type: "inbox", texts: [...this.inbox], mode: this.busyInput })
}
/** What is still waiting, emptied: the task ended (or was stopped) before it was delivered. */
takeInbox(): string[] {
const texts = this.inbox.splice(0)
this.inboxIds.splice(0)
if (texts.length) this.o.bus.emit({ type: "inbox", texts: [], mode: this.busyInput })
return texts
}
/** A background job ended while a task runs: it goes to the model at the next step. The text
* carries its own mark. */
note(text: string) {
this.notes.push(text)
}
/** Notes the task ended before delivering. */
takeNotes(): string[] {
return this.notes.splice(0)
}
/** At a step boundary — every tool result of the last step is in — hand the inbox to the model. */
private deliverInbox(): boolean {
const notes = this.notes.splice(0)
if (notes.length) {
this.push({ role: "user", parts: [{ type: "text", text: notes.join("\n\n") }] })
// Said as what happened, not as its mark: the line after it.
this.o.bus.emit({ type: "notice", message: notes.map((n) => n.split("\n").find((l, i) => i > 0 && l.trim()) ?? n.split("\n")[0]!).join("; ") })
}
if (this.busyInput !== "steer" || !this.inbox.length) return notes.length > 0
const texts = this.inbox.splice(0)
const ids = this.inboxIds.splice(0).filter((i): i is string => typeof i === "string")
this.turnSteers.push(...texts)
this.push({ role: "user", parts: [{ type: "text", text: `${this.o.steerMark ?? STEER_MARK}\n${texts.join("\n\n")}` }] })
this.o.bus.emit({ type: "steered", texts, ...(ids.length ? { ids } : {}) })
this.o.bus.emit({ type: "inbox", texts: [], mode: this.busyInput })
return true
}
private push(m: Message) {
this.messages.push(m)
if (this.o.store && this.sessionId) this.lastRowId = this.o.store.append(this.sessionId, m)
}
/** `extra`: attachments (@files, images) and the like — sent to the model after the text, never shown as typed.
* `meta`: the turn's id and what was attached, said on the `prompt` event. */
async prompt(text: string, extra: (string | ImagePart)[] = [], shown = text, meta: PromptMeta = {}): Promise<"stop" | "steps" | "budget" | "cancelled" | "error"> {
if (this.busy) throw new Error("busy")
this.busy = true
this.o.bus.emit({ type: "prompt", text: shown, ...(meta.turnId ? { turnId: meta.turnId } : {}), ...(meta.attachments?.length ? { attachments: meta.attachments } : {}), ...(meta.machine ? { machine: true as const } : {}) })
try {
return await this.run(text, [...this.pendingContext.splice(0), ...extra], meta.turnId, meta.machine)
} finally {
this.busy = false
}
}
private async run(text: string, extra: (string | ImagePart)[], turnId?: string, machine?: true): Promise<"stop" | "steps" | "budget" | "cancelled" | "error"> {
const { bus } = this.o
this.abort = new AbortController()
const signal = this.abort.signal
this.push({ role: "user", parts: [{ type: "text", text }, ...extra.map((t) => (typeof t === "string" ? { type: "text" as const, text: t } : t))], ...(turnId ? { turnId } : {}), ...(machine ? { machine } : {}) })
this.turnPrompt = this.messages[this.messages.length - 1]
this.turnSteers = []
this.autoCompactions = 0
const toolMap = new Map(this.o.tools.map((t) => [t.name, t]))
const allSpecs = this.o.tools.map(toSpec)
const maxSteps = this.o.maxSteps ?? LOOP.steps.default
const started = performance.now()
this.turnWaitedMs = 0
this.turnOutputBytes = 0
this.turnCompletion = 0
// Why the prompt is being wound up early, once a budget has run out: then, as past the step
// limit, the tools are withdrawn and the model answers from what it has.
let ranOut: { limit: string; said: string } | undefined
let nudges = 0
let midRetries = 0
const tried = new Set<string>()
for (let step = 1; ; step++) {
// Checked between steps, never mid-reply: a reply cut off mid-sentence is worth nothing.
if (!ranOut && step > 1) {
ranOut = this.overBudget(started)
if (ranOut) bus.emit({ type: "notice", message: `stopped ${ranOut.said} — the model answers from what it has; send a message to carry on` })
}
const wrapUp = step > maxSteps || ranOut !== undefined
if (!wrapUp) await this.manageContext(signal)
// After compacting, so what was just sent is never folded into a summary.
if (!wrapUp) this.deliverInbox()
bus.emit({ type: "step", n: step })
let assistant: Extract<Message, { role: "assistant" }> | undefined
let finish = "stop"
let usage: Usage | undefined
// Output speed: from the first piece of the reply to the last.
let firstOut = 0
let lastOut = 0
// What was said before a stop: kept, so /continue picks up from there.
let partial = ""
try {
const stream = this.client.stream({
system: this.o.system(this.mode, this.model, this.plan),
messages: mergeUsers(wrapUp ? [...this.messages, { role: "user", parts: [{ type: "text", text: wrapUpText(ranOut ? ranOut.limit : "step limit") }] }] : this.messages),
tools: wrapUp ? [] : allSpecs.filter((s) => !this.withdrawn.has(s.name) && this.offered(s.name)),
effort: this.effort,
signal,
})
for await (const ev of stream) {
if (ev.type === "finish") {
assistant = ev.message
finish = ev.reason
} else if (ev.type === "usage") usage = ev.usage
else {
if (ev.type === "text" || ev.type === "reasoning" || ev.type === "tool_call_delta") {
lastOut = performance.now()
firstOut ||= lastOut
}
if (ev.type === "text") partial += ev.text
bus.emit(ev)
}
}
} catch (e) {
if (signal.aborted) {
// The reply stays on screen; it stays in the history too, so the model knows what it
// had already said when it is asked to continue.
if (partial.trim()) this.push({ role: "assistant", parts: [{ type: "text", text: partial }] })
bus.emit({ type: "done", reason: "cancelled" })
return "cancelled"
}
// The server is not there at all: the model's fallback, if it has one, for the rest of the
// session — said, and shown in the status bar.
if (e instanceof ProviderError && e.unreachable && this.o.fallback) {
tried.add(this.model.ref)
const next = this.o.fallback(this.model, tried)
if (next) {
bus.emit({ type: "notice", message: `${e.message.split("\n")[0]!.slice(0, 160)} — switching to ${next.model.ref}, its fallback` })
this.setModel(next.model, next.client, next.effort)
bus.emit({ type: "setting", key: "model", value: next.model.ref })
step--
continue
}
}
// A server failure part-way through a reply (llama.cpp failing to parse gpt-oss's own
// output is the one seen) is worth two more goes. What was already shown is discarded.
if (e instanceof ProviderError && !e.beforeOutput && (e.status ?? 0) >= 500 && midRetries < 2) {
midRetries++
bus.emit({ type: "retract" })
bus.emit({ type: "notice", message: `the server failed mid-reply (${e.message.split("\n")[0]!.slice(0, 120)}); the partial reply is discarded and the step retried` })
step--
continue
}
bus.emit({ type: "error", message: (e as Error).message })
bus.emit({ type: "done", reason: "error" })
return "error"
}
if (!assistant) {
bus.emit({ type: "error", message: "the stream ended without a reply" })
bus.emit({ type: "done", reason: "error" })
return "error"
}
this.push(assistant)
if (usage) {
this.turnCompletion += usage.output
// Counted once the reply is in the history, so the reply itself is not estimated again.
this.usage = usage
this.usageAt = this.messages.length
const secs = (lastOut - firstOut) / 1000
const rate = usage.output > 0 && secs > 0.3 ? usage.output / secs : undefined
bus.emit({ type: "usage", usage, context: contextWindow(this.model), used: this.contextUsed(), rate })
}
const calls = assistant.parts.filter((p): p is ToolCallPart => p.type === "tool_call")
const said = assistant.parts.some((p) => p.type === "text" && p.text.trim())
const cut = finish === "length"
const limit = this.model.spec.max_output ? ` (${this.model.spec.max_output.toLocaleString("en")} tokens)` : ""
if (calls.length) nudges = 0
// A thinking model can finish its whole answer inside the reasoning channel, or spend the
// whole output limit thinking. Ask again — a few times in a row, then stop and say so.
if (calls.length === 0 && (!said || cut) && !wrapUp) {
if (nudges < MAX_NUDGES) {
nudges++
bus.emit({
type: "notice",
message: !cut
? "the reply had no answer outside its thinking; asking for one"
: said
? `the reply was cut off at the output limit${limit}; asking it to carry on`
: `the model used the whole output limit${limit} thinking; asking it to act`,
})
this.push({ role: "user", parts: [{ type: "text", text: !cut ? NO_ANSWER : said ? CUT_TEXT : CUT_THINKING }] })
continue
}
bus.emit({
type: "notice",
level: "warn",
message: cut
? `stopped: ${MAX_NUDGES + 1} replies in a row ran into the output limit${limit}. Raise max_output for this model, lower the effort, or say what to do next`
: `stopped: ${MAX_NUDGES + 1} replies in a row had only thinking in them. Say what to do next`,
})
}
if (cut && calls.length)
bus.emit({ type: "notice", level: "warn", message: `the reply hit the output limit${limit} while writing a tool call; a call cut short is not run, and the model is told to split it` })
// The model is done, but the user said something meanwhile: it carries on with that, in the
// same task.
if (calls.length === 0 && !wrapUp && (this.notes.length || (this.busyInput === "steer" && this.inbox.length))) continue
if (calls.length === 0 || wrapUp) {
const reason = wrapUp ? (ranOut ? "budget" : "steps") : "stop"
bus.emit({ type: "done", reason })
return reason
}
// Decide every call first — asking is sequential — then run what was allowed.
const results = new Map<string, ToolResult>()
const runnable: { call: ToolCallPart; tool: Tool; args: unknown; paths: string[]; writes: boolean; edited?: string }[] = []
for (const call of calls) {
if (signal.aborted) break
const decided = await this.decide(call, toolMap, cut)
if ("result" in decided) {
results.set(call.id, decided.result)
if (decided.denied) bus.emit({ type: "tool_denied", id: call.id, name: call.name, reason: decided.result.output })
} else runnable.push({ call, ...decided })
}
const bgNow = new AbortController()
this.bgNow = bgNow
const toolCtx: ToolContext = {
...this.o.toolCtx,
signal,
backgroundNow: bgNow.signal,
question: this.o.asker.question ? (req, id) => this.waiting(this.o.asker.question!(req, id)) : undefined,
plan: {
get: () => this.plan,
set: (p) => this.setPlan(p),
ask: this.o.asker.plan ? (req, id) => this.waiting(this.o.asker.plan!(req, id)) : undefined,
},
setMode: (m) => {
this.mode = m
bus.emit({ type: "mode", mode: m })
},
spawn: this.o.spawn,
}
// Consecutive ordinary calls run together (up to MAX_PARALLEL); an exclusive one — it waits
// on the user — runs on its own, in its place in the order.
const groups: (typeof runnable)[] = []
// Two calls on the same file never run together: each reads, changes and writes it whole,
// so the second would write over the first.
for (const r of runnable) {
const last = groups[groups.length - 1]
const clash = last?.some((o) => o.paths.some((p) => r.paths.includes(p)) && (o.writes || r.writes))
if (r.tool.exclusive || !last || last[0]!.tool.exclusive || last.length >= MAX_PARALLEL || clash) groups.push([r])
else last.push(r)
}
for (const group of groups) {
await Promise.all(
group.map(async ({ call, tool, args, edited }) => {
bus.emit({ type: "tool_start", id: call.id, name: call.name, args })
const t0 = performance.now()
let result: ToolResult
try {
result = await tool.run(args, { ...toolCtx, callId: call.id })
} catch (e) {
result = { output: e instanceof ToolError ? e.message : `${tool.name} failed: ${(e as Error).message}`, isError: true }
}
// Said first, so the model knows the line that ran is not the one it wrote.
if (edited) result = { ...result, output: `The user changed the command before allowing it. What ran: ${edited}\n\n${result.output}` }
results.set(call.id, result)
bus.emit({ type: "tool_end", id: call.id, name: call.name, result, ms: performance.now() - t0 })
}),
)
}
this.bgNow = undefined
const images: ImagePart[] = []
for (const call of calls) {
const r = results.get(call.id) ?? { output: "Not run: the reply was cancelled.", isError: true }
this.turnOutputBytes += Buffer.byteLength(r.output)
this.push({ role: "tool", callId: call.id, name: call.name, content: r.output, isError: r.isError })
if (r.images) images.push(...r.images)
}
// No dialect takes an image inside a tool result the same way; a user turn right after the
// results works everywhere.
if (images.length) this.push({ role: "user", parts: [{ type: "text", text: "The image(s) you asked to view:" }, ...images] })
if (signal.aborted) {
bus.emit({ type: "done", reason: "cancelled" })
return "cancelled"
}
}
}
private async decide(
call: ToolCallPart,
toolMap: Map<string, Tool>,
cut = false,
): Promise<{ tool: Tool; args: unknown; paths: string[]; writes: boolean; edited?: string } | { result: ToolResult; denied?: boolean }> {
// A former name (harness spec v1 renamed a few) runs the tool it now is.
let tool = toolMap.get(call.name) ?? toolMap.get(resolveCall(call.name, {}).name)
if (!tool)
return { result: { output: `There is no tool named "${call.name}". The tools are: ${[...toolMap.keys()].join(", ")}.`, isError: true } }
let raw: unknown
try {
raw = call.args.trim() ? JSON.parse(call.args) : {}
} catch {
if (cut)
return {
result: {
output:
`Not run: your reply hit the output limit${this.model.spec.max_output ? ` of ${this.model.spec.max_output} tokens` : ""} before these arguments were complete. ` +
"Do not send the same call again whole. Split large content over several calls — create the file with the first part, then add the rest with edit — and think less before acting.",
isError: true,
},
}
this.o.bus.emit({ type: "notice", message: `a ${call.name} call's arguments were not valid JSON; it was not run and the model was told` })
return { result: { output: `The arguments were not valid JSON: ${call.args.slice(0, 200)}`, isError: true } }
}
const resolved = resolveCall(call.name, raw)
tool = toolMap.get(resolved.name) ?? tool
raw = resolved.raw
// What the call is for goes to the user when they are asked; the tool never sees an added `purpose`.
const { args: own, purpose } = splitPurpose(tool, raw)
const parsed = tool.schema.safeParse(own)
if (!parsed.success) {
const why = parsed.error.issues.map((i) => `${i.path.join(".") || "(arguments)"}: ${i.message}`).join("; ")
return { result: { output: `Invalid arguments for ${tool.name}: ${why}`, isError: true } }
}
let args = parsed.data
const toolCtx: ToolContext = { ...this.o.toolCtx, signal: new AbortController().signal }
let request = tool.permission(args, toolCtx)
let edited: string | undefined
const ctx: PermContext = { ...this.o.perm, mode: this.mode, rules: [...this.o.perm.rules, ...this.sessionRules] }
let decision = evaluate(request, ctx)
// Doom-loop guard: the same call three times running is asked about, whatever the mode.
const key = `${call.name} ${JSON.stringify(args)}`
this.recentCalls = [...this.recentCalls.slice(-2), key]
const looping = this.recentCalls.length === 3 && this.recentCalls.every((k) => k === key)
if (decision.action === "allow" && looping) decision = { ...decision, action: "ask", reason: "the same call three times in a row" }
if (decision.action === "deny") return { result: { output: `Denied: ${decision.reason}`, isError: true }, denied: true }
if (decision.action === "ask") {
// The change itself, so the user sees what they are allowing — not just the file's name.
let preview: { diff?: string; error?: string } | undefined
if (tool.preview)
preview = await tool.preview(args, toolCtx).then(
(diff) => ({ diff }),
(e) => ({ error: (e as Error).message }),
)
const reply = await this.waiting(this.o.asker.ask({ tool: tool.name, args, request, decision, preview, purpose }))
if (reply.kind === "deny" && looping)
return {
result: {
output: `Not run: this is the same ${tool.name} call three times in a row, and its result will not change. Use what you already have, or do something different.`,
isError: true,
},
denied: true,
}
// Withdrawing a tool is for "this kind of action cannot happen here" — a change or a command.
// A refused read (a .env, a path outside the project) refuses that call, not reading.
const withdraw = reply.kind === "deny" && reply.final && (request.class === "write" || request.class === "execute") && !decision.reason.startsWith("outside")
if (reply.kind === "deny" && withdraw) {
// Every tool behind the same permission goes: edit and write share "edit".
const siblings = this.o.tools.filter((t) => t.access === tool.access)
for (const t of siblings) this.withdrawn.add(t.name)
const gone = siblings.map((t) => t.name).join(", ")
return {
result: {
output: `Refused: ${reply.feedback ?? "nobody can approve this"} It will be refused every time in this session, so ${gone} ${gone.includes(",") ? "are" : "is"} no longer offered. Do not look for a way around it. Finish with what you can do without it, and say exactly what you would have done — the change, the command — so the user can do it.`,
isError: true,
},
denied: true,
}
}
if (reply.kind === "deny") {
const output = reply.feedback
? `The user declined this, and said why: ${reply.feedback}\nTake that as their instruction and carry on from it.`
: "The user declined this call. Do not retry it unchanged; adjust, or ask what they want."
return { result: { output, isError: true }, denied: true }
}
// The user corrected the command before allowing it. What they wrote is judged again — the
// hardline and a written deny hold for it too — and runs as allowed; the model is told.
if (reply.kind === "once" && reply.command !== undefined && request.command !== undefined && reply.command.trim() && reply.command.trim() !== request.command) {
const line = reply.command.trim()
const changed = tool.schema.safeParse({ ...(args as Record<string, unknown>), command: line })
const again = changed.success ? tool.permission(changed.data, toolCtx) : undefined
const verdict = again ? evaluate(again, ctx) : undefined
if (!changed.success || !again || verdict!.action === "deny")
return { result: { output: `The user changed the command to \`${line}\`, and that is refused: ${verdict?.reason ?? "it is not a valid command"}. Nothing ran.`, isError: true }, denied: true }
args = changed.data
request = again
edited = line
}
if (reply.kind === "session" || reply.kind === "project") {
for (const pattern of decision.always) {
// Learned: an approval never overrides a deny somebody wrote (see evaluate).
const rule: Rule = { permission: request.permission, pattern, action: "allow", learned: true }
this.sessionRules.push(rule)
// Written to the project, it would come back as an ordinary rule and win over such a
// deny by coming last; it stays for this session only instead.
if (reply.kind === "project" && !shadowsDeny(rule, this.o.perm.rules)) this.o.persistRule?.({ permission: rule.permission, pattern, action: "allow" })
}
}
}
// A command's path is its working directory, not a file it changes.
return { tool, args, paths: request.command === undefined ? (request.paths ?? []) : [], writes: request.class !== "read", edited }
}
}
/** The conversation as plain text for the summariser, newest kept when it is too long. */
export function transcript(messages: Message[], maxChars: number): string {
const lines: string[] = []
for (const m of messages) {
if (m.role === "tool") lines.push(`[${m.name} result${m.isError ? ", error" : ""}]\n${m.content.slice(0, 2000)}`)
else
for (const p of m.parts) {
if (p.type === "text") lines.push(`${m.role === "user" ? "User" : "Assistant"}: ${p.text}`)
else if (p.type === "tool_call") lines.push(`[assistant called ${p.name} ${p.args.slice(0, 400)}]`)
}
}
const all = lines.join("\n\n")
return all.length <= maxChars ? all : "[…earlier turns cut…]\n\n" + all.slice(-maxChars)
}