Dashboard › › Session ses_3882eadf
ses_3882eadfbffeg2ZKV8EkWoURqnExplore the nuum plugin at /home/byk/Code/opencode-nuum. I need to understand:
What does the experimental.chat.messages.transform hook return? What data does it have access to during execution? Specifically in the gradient/context manager — what information does it know about:
What does the transform hook look like in index.ts? How is gradient.ts called from it?
Is there any existing logging or stats collection happening after the gradient runs?
What is the shape of the return value from the gradient function? Does it include any metadata about which layer was used?
Look at the full gradient.ts to understand what information is available after tryFit() resolves.
Return file paths and line numbers for all key code. I want to understand what nuum data is computable and what would need to be added to gradient.ts to expose layer/token info.
I'll explore the nuum plugin systematically, reading multiple files in parallel.
<path>/home/byk/Code/opencode-nuum</path> <type>directory</type> <entries> .git/ .gitignore bun.lock bunfig.toml eval/ MEMORY_PLAN.md node_modules/ package.json src/ test/ tsconfig.json (11 entries) </entries>
/home/byk/Code/opencode-nuum/eval/coding_eval.ts /home/byk/Code/opencode-nuum/src/index.ts /home/byk/Code/opencode-nuum/src/gradient.ts /home/byk/Code/opencode-nuum/src/reflect.ts /home/byk/Code/opencode-nuum/src/distillation.ts /home/byk/Code/opencode-nuum/eval/harness.ts /home/byk/Code/opencode-nuum/src/prompt.ts /home/byk/Code/opencode-nuum/src/db.ts /home/byk/Code/opencode-nuum/eval/evaluate.ts /home/byk/Code/opencode-nuum/src/ltm.ts /home/byk/Code/opencode-nuum/src/curator.ts /home/byk/Code/opencode-nuum/test/gradient.test.ts /home/byk/Code/opencode-nuum/src/markdown.ts /home/byk/Code/opencode-nuum/test/markdown.test.ts /home/byk/Code/opencode-nuum/test/ltm.test.ts /home/byk/Code/opencode-nuum/test/temporal.test.ts /home/byk/Code/opencode-nuum/test/db.test.ts /home/byk/Code/opencode-nuum/src/temporal.ts /home/byk/Code/opencode-nuum/src/config.ts
<path>/home/byk/Code/opencode-nuum/src/index.ts</path>
<type>file</type>
<content>1: import type { Plugin } from "@opencode-ai/plugin";
2: import { load, config } from "./config";
3: import { ensureProject } from "./db";
4: import * as temporal from "./temporal";
5: import * as ltm from "./ltm";
6: import * as distillation from "./distillation";
7: import * as curator from "./curator";
8: import {
9: transform,
10: setModelLimits,
11: needsUrgentDistillation,
12: calibrate,
13: estimateMessages,
14: } from "./gradient";
15: import { formatKnowledge } from "./prompt";
16: import { createRecallTool } from "./reflect";
17:
18: export const NuumPlugin: Plugin = async (ctx) => {
19: const projectPath = ctx.worktree || ctx.directory;
20: await load(ctx.directory);
21: ensureProject(projectPath);
22:
23: // Track user turns for periodic curation
24: let turnsSinceCuration = 0;
25:
26: // Track active sessions for distillation
27: const activeSessions = new ...
<path>/home/byk/Code/opencode-nuum/src/gradient.ts</path>
<type>file</type>
<content>1: import type { Message, Part } from "@opencode-ai/sdk";
2: import { db, ensureProject } from "./db";
3: import { config } from "./config";
4: import { formatDistillations } from "./prompt";
5: import { normalize } from "./markdown";
6:
7: type MessageWithParts = { info: Message; parts: Part[] };
8:
9: // Rough token estimate: ~4 chars per token
10: function estimate(text: string): number {
11: return Math.ceil(text.length / 4);
12: }
13:
14: function estimateParts(parts: Part[]): number {
15: let total = 0;
16: for (const part of parts) {
17: if (part.type === "text") total += estimate(part.text);
18: else if (part.type === "reasoning" && part.text)
19: total += estimate(part.text);
20: else if (part.type === "tool" && part.state.status === "completed")
21: total += estimate(part.state.output) + estimate(part.tool) + 50;
22: else total += 20; // metadata overhead ...
Now let me read the remaining relevant files in parallel:
<path>/home/byk/Code/opencode-nuum/src/config.ts</path>
<type>file</type>
<content>1: import { z } from "zod";
2:
3: export const NuumConfig = z.object({
4: model: z
5: .object({
6: providerID: z.string(),
7: modelID: z.string(),
8: })
9: .optional(),
10: budget: z
11: .object({
12: distilled: z.number().min(0.05).max(0.5).default(0.25),
13: raw: z.number().min(0.1).max(0.7).default(0.4),
14: output: z.number().min(0.1).max(0.5).default(0.25),
15: })
16: .default({}),
17: distillation: z
18: .object({
19: minMessages: z.number().min(3).default(8),
20: maxSegment: z.number().min(5).default(50),
21: metaThreshold: z.number().min(3).default(10),
22: })
23: .default({}),
24: curator: z
25: .object({
26: enabled: z.boolean().default(true),
27: onIdle: z.boolean().default(true),
28: afterTurns: z.number().min(1).default(10),
29: })
30: .default({}),
31: crossProject: ...
<path>/home/byk/Code/opencode-nuum/src/temporal.ts</path>
<type>file</type>
<content>1: import { db, ensureProject } from "./db";
2: import type { Message, Part } from "@opencode-ai/sdk";
3:
4: // Estimate token count from text length (rough: 1 token ≈ 4 chars)
5: function estimate(text: string): number {
6: return Math.ceil(text.length / 4);
7: }
8:
9: function partsToText(parts: Part[]): string {
10: const chunks: string[] = [];
11: for (const part of parts) {
12: if (part.type === "text") chunks.push(part.text);
13: else if (part.type === "reasoning" && part.text)
14: chunks.push(`[reasoning] ${part.text}`);
15: else if (part.type === "tool" && part.state.status === "completed")
16: chunks.push(`[tool:${part.tool}] ${part.state.output}`);
17: }
18: return chunks.join("\n");
19: }
20:
21: function messageMetadata(info: Message, parts: Part[]): string {
22: const meta: Record<string, unknown> = {};
23: if (info.role === "user") {
24: ...
<path>/home/byk/Code/opencode-nuum/test/gradient.test.ts</path>
<type>file</type>
<content>1: import { describe, test, expect, beforeAll, afterAll } from "bun:test";
2: import { db, close, ensureProject } from "../src/db";
3: import {
4: transform,
5: setModelLimits,
6: calibrate,
7: resetCalibration,
8: } from "../src/gradient";
9: import type { Message, Part } from "@opencode-ai/sdk";
10:
11: const PROJECT = "/test/gradient/project";
12:
13: function makeMsg(
14: id: string,
15: role: "user" | "assistant",
16: text: string,
17: sessionID = "grad-sess",
18: ): { info: Message; parts: Part[] } {
19: const info: Message =
20: role === "user"
21: ? {
22: id,
23: sessionID,
24: role: "user",
25: time: { created: Date.now() },
26: agent: "build",
27: model: {
28: providerID: "anthropic",
29: modelID: "claude-sonnet-4-20250514",
30: },
31: }
32: : {
33: ...
Here is a complete, precise breakdown of everything you asked:
experimental.chat.messages.transform hook has access toFile: src/index.ts:174-203
The hook signature is async (_input, output). The _input is ignored (hence the underscore). output.messages is a MessageWithParts[] — each element has { info: Message, parts: Part[] }. The hook has access to:
output.messages — the full live message array as OpenCode assembled it, after ephemeral system-reminder wrapping has been applied in-memory (see architecture notes). Each info: Message has id, sessionID, role, time.created, plus role-specific fields (for assistant: modelID, providerID, tokens, cost, mode; for user: agent, model). Each parts: Part[] contains text, tool, reasoning part types with their full content.projectPath — closed over from plugin init (ctx.worktree || ctx.directory)sessionID — derived from output.messages[0]?.info.sessionID (line 177)The hook calls transform() synchronously (line 178–182) and then inspects result.layer (line 200).
transform() returns — the TransformResult typeFile: src/gradient.ts:358-366
export type SafetyLayer = 1 | 2 | 3 | 4;
export type TransformResult = {
messages: MessageWithParts[]; // the processed message array to splice in
layer: SafetyLayer; // which gradient layer fired (1–4)
distilledTokens: number; // estimated tokens for the distilled prefix
rawTokens: number; // estimated tokens for the raw recent window
totalTokens: number; // distilledTokens + rawTokens
};
All four fields are already computed and returned. The transform hook in index.ts currently only uses result.layer (line 200) and result.messages (line 197) — distilledTokens, rawTokens, and totalTokens are computed and returned but silently discarded.