Files
neuron/packages/opencode/src/session/summary.ts
T
2025-10-24 09:24:58 -04:00

120 lines
3.6 KiB
TypeScript

import { Provider } from "@/provider/provider"
import { fn } from "@/util/fn"
import z from "zod"
import { Session } from "."
import { generateText } from "ai"
import { MessageV2 } from "./message-v2"
import { Flag } from "@/flag/flag"
import { Identifier } from "@/id/id"
import { Snapshot } from "@/snapshot"
import type { UserMessage } from "@opencode-ai/sdk"
export namespace SessionSummary {
export const summarize = fn(
z.object({
sessionID: z.string(),
messageID: z.string(),
providerID: z.string(),
}),
async (input) => {
const all = await Session.messages(input.sessionID)
await Promise.all([
summarizeSession({ sessionID: input.sessionID, messages: all }),
summarizeMessage({ messageID: input.messageID, messages: all }),
])
},
)
async function summarizeSession(input: { sessionID: string; messages: MessageV2.WithParts[] }) {
const diffs = await computeDiff({ messages: input.messages })
await Session.update(input.sessionID, (draft) => {
draft.summary = {
diffs,
}
})
}
async function summarizeMessage(input: { messageID: string; messages: MessageV2.WithParts[] }) {
const messages = input.messages.filter(
(m) => m.info.id === input.messageID || (m.info.role === "assistant" && m.info.parentID === input.messageID),
)
const userMsg = messages.find((m) => m.info.id === input.messageID)!.info as UserMessage
const diffs = await computeDiff({ messages })
userMsg.summary = {
diffs,
text: userMsg.summary?.text ?? "",
}
if (
Flag.OPENCODE_EXPERIMENTAL_TURN_SUMMARY &&
messages.every((m) => m.info.role !== "assistant" || m.info.time.completed)
) {
const assistantMsg = messages.find((m) => m.info.role === "assistant")!.info as MessageV2.Assistant
const small = await Provider.getSmallModel(assistantMsg.providerID)
if (!small) return
const result = await generateText({
model: small.language,
maxOutputTokens: 100,
messages: [
{
role: "user",
content: `
Summarize the following conversation into 2 sentences MAX explaining what the assistant did and why. Do not explain the user's input.
<conversation>
${JSON.stringify(MessageV2.toModelMessage(messages))}
</conversation>
`,
},
],
})
userMsg.summary.text = result.text
}
await Session.updateMessage(userMsg)
}
export const diff = fn(
z.object({
sessionID: Identifier.schema("session"),
messageID: Identifier.schema("message").optional(),
}),
async (input) => {
let all = await Session.messages(input.sessionID)
if (input.messageID)
all = all.filter(
(x) => x.info.id === input.messageID || (x.info.role === "assistant" && x.info.parentID === input.messageID),
)
return computeDiff({
messages: all,
})
},
)
async function computeDiff(input: { messages: MessageV2.WithParts[] }) {
let from: string | undefined
let to: string | undefined
// scan assistant messages to find earliest from and latest to
// snapshot
for (const item of input.messages) {
if (!from) {
for (const part of item.parts) {
if (part.type === "step-start" && part.snapshot) {
from = part.snapshot
break
}
}
}
for (const part of item.parts) {
if (part.type === "step-finish" && part.snapshot) {
to = part.snapshot
break
}
}
}
if (from && to) return Snapshot.diffFull(from, to)
return []
}
}