feat: per-model max output tokens and a conversation-time thinking level backed by agent settings (#28)
Co-authored-by: Alice <alice@prismshadow.com> Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
@@ -117,6 +117,16 @@ export function effectiveMaxContextLength(configured: number, contextWindow: unk
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return Math.min(configured, Math.floor(contextWindow * 0.75));
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}
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/**
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* Output cap for meta requests (title generation / vision describing): these carry their own
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* small hardcoded budget, tightened further by the entry's per-model `max_tokens` when that is
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* smaller — a cap the user pinned below the budget must bind every request to that model. The
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* budget is never raised.
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*/
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export function metaMaxTokens(budget: number, modelCap: number | undefined): number {
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return modelCap !== undefined ? Math.min(budget, modelCap) : budget;
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}
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/** Create or load an Agent. */
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export async function createAgent(opts: CreateAgentOptions = {}): Promise<Agent> {
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const state = await loadOrInitAgentState(opts);
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@@ -570,7 +580,8 @@ export class Agent {
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: {}),
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tools: [],
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thinkingLevel: "none",
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maxTokens: 2048,
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// The describing budget, tightened by the vision entry's own pinned cap when smaller.
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maxTokens: metaMaxTokens(2048, visionEntry.max_tokens),
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requestTimeoutMs: 60_000,
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}),
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};
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@@ -592,6 +603,12 @@ export class Agent {
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});
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const tools = await environment.listTools();
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// Effective output cap: the entry's per-model annotation wins over the Agent's
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// system_config value — the fit is a model trait: the seeded per-Agent default (32000)
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// cannot fit into e.g. a 32768-token context window together with any prompt, so a
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// small-window model needs its own pinned cap. Unset inherits the Agent value.
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const maxTokens = modelEntry.max_tokens ?? this.state.systemConfig.model?.max_tokens;
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// LLM constructor args are extracted into a constant so they can be reused as-is when
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// rebuilding a new LLM object after compaction (with a fresh model context) — the system
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// prompt and tool definitions aren't part of the compacted history, so the new object keeps
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@@ -612,9 +629,7 @@ export class Agent {
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...(modelEntry.context_window !== undefined
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? { contextWindow: modelEntry.context_window }
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: {}),
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...(this.state.systemConfig.model?.max_tokens !== undefined
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? { maxTokens: this.state.systemConfig.model.max_tokens }
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: {}),
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...(maxTokens !== undefined ? { maxTokens } : {}),
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...(this.state.systemConfig.model?.thinking_level !== undefined
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? { thinkingLevel: this.state.systemConfig.model.thinking_level }
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: {}),
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@@ -640,7 +655,8 @@ export class Agent {
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...(modelEntry.client_type !== undefined ? { clientType: modelEntry.client_type } : {}),
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tools: [],
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thinkingLevel: "none",
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maxTokens: 300,
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// The meta budget, tightened by the entry's pinned per-model cap when smaller.
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maxTokens: metaMaxTokens(300, modelEntry.max_tokens),
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requestTimeoutMs: 30_000,
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});
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@@ -40,13 +40,13 @@ export type {
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} from "./engine/context-engine.js";
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export { Session } from "./session.js";
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export type { SessionConfig } from "./session.js";
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export {
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buildTitlePrompt,
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generateTitleWithLLM,
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sanitizeTitle,
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stripConversationMarkers,
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} from "./session-title.js";
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export type { SessionTitleResult } from "./session-title.js";
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// Session-title generation lives in internal/ (an assembly detail of Session.generateTitle);
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// only its narrow public surface is re-exported: the result type (part of
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// Session.generateTitle's signature) and the sanitation helpers the Web server's title
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// fallback builds on (stripConversationMarkers / sanitizeTitle). The prompt/request
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// internals (buildTitlePrompt / generateTitleWithLLM) are deliberately not public.
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export { sanitizeTitle, stripConversationMarkers } from "./internal/session-title.js";
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export type { SessionTitleResult } from "./internal/session-title.js";
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export { Agent, createAgent } from "./agent.js";
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export type { CreateAgentOptions, CreateSessionOptions, ResumeSessionOptions } from "./agent.js";
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@@ -1,21 +1,25 @@
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/**
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* Session title generation: an **out-of-band, one-off request** that generates
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* a short title from the first-turn conversation text.
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* a short title from the first-turn conversation text (used by `Session.generateTitle`
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* for assembly, not exported wholesale via the barrel).
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*
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* Called by `session.generateTitle()`: sends one request using the bare LLM for the session's
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* Model (no tools, no system prompt, thinking off), without writing history or Trace. Material
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* defaults to what the Session self-captures during run (see session.ts); this module is only
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* responsible for the prompt format, driving the one-off request, and sanitizing the result —
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* when to generate a title and where to store it is decided by the host (Web server / CLI).
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* The narrow public surface — `SessionTitleResult` (part of `Session.generateTitle`'s
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* signature) and the sanitation helpers the host's title fallback builds on — is re-exported
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* by the barrel; the prompt/request internals are not.
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*/
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import { userText } from "./omnimessage/index.js";
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import { userText } from "../omnimessage/index.js";
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import type {
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OmniMessage,
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TextPayload,
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TokenCounts,
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TokenUsagePayload,
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} from "./omnimessage/index.js";
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import type { LLMInterface } from "./interfaces.js";
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} from "../omnimessage/index.js";
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import type { LLMInterface } from "../interfaces.js";
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/** Cap on conversation text spliced into the title request (user/model each truncated separately, to control cost). */
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const EXCERPT_MAX_CHARS = 2000;
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@@ -21,8 +21,8 @@ import { sessionMeta } from "./omnimessage/index.js";
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import type { OmniMessage, SessionMetaPayload, TokenCounts } from "./omnimessage/index.js";
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import { imagesToScratchpadPaths } from "./internal/session-support.js";
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import type { EnvironmentInterface, LLMInterface, ToolPermission } from "./interfaces.js";
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import { generateTitleWithLLM } from "./session-title.js";
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import type { SessionTitleResult } from "./session-title.js";
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import { generateTitleWithLLM } from "./internal/session-title.js";
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import type { SessionTitleResult } from "./internal/session-title.js";
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import { ContextEngine } from "./engine/context-engine.js";
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import type {
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CompactAvailability,
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@@ -88,6 +88,14 @@ export interface ModelEntry {
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* enters that session's history.
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*/
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vision?: boolean;
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/**
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* Per-model max output tokens (the request's output cap, i.e. GenerativeModelConfig.maxTokens):
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* when set it wins over the Agent's `system_config.model.max_tokens` — the fit is a model trait
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* (the seeded per-Agent default of 32000 cannot fit into e.g. a 32768-token context window
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* together with any prompt, and the upstream rejects the request outright). Unset = inherit
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* the Agent value. User-only, never preset by the builtin catalog.
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*/
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max_tokens?: number;
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/** Pricing info; absent means this Model's cost isn't counted. */
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pricing?: ModelPricing;
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/** API key (inlined credential); left empty falls back to the vendor's environment variable. */
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@@ -275,6 +283,8 @@ export async function addModel(
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client_type?: string;
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/** Whether image input is supported (vision/multimodal); keeps the existing value by default (treated as supported if never set). */
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vision?: boolean;
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/** Per-model max output tokens (wins over the Agent config); keeps the existing value by default (unset = inherit the Agent value). */
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max_tokens?: number;
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/** Price input may cover only some buckets; merged and written as a complete `ModelPricing`. */
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pricing?: Partial<ModelPricing>;
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api_key?: string;
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@@ -310,6 +320,10 @@ export async function addModel(
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if (vision !== undefined) {
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modelEntry.vision = vision;
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}
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const maxTokens = entry.max_tokens ?? existing?.max_tokens;
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if (maxTokens !== undefined) {
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modelEntry.max_tokens = maxTokens;
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}
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// The three price buckets are merged field by field: an unspecified bucket keeps its existing
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// value (the same policy as context_window/credential); the unit is fixed to usd_per_mtok, and
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// the complete pricing is written as long as any bucket is present.
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