255 lines
8.6 KiB
TypeScript
255 lines
8.6 KiB
TypeScript
import {
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Message,
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ToolCallPart,
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ToolOutput,
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ToolResultPart,
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type ContentPart,
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type ProviderMetadata,
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} from "@opencode-ai/ai"
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import { Option, Schema } from "effect"
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import type { ModelV2 } from "../../model"
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import { SessionMessage } from "../message"
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import type { FileAttachment } from "@opencode-ai/schema/prompt"
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const imageMimes = new Set(["image/png", "image/jpeg", "image/gif", "image/webp"])
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const media = (file: FileAttachment): ContentPart => ({
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type: "media",
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mediaType: file.mime,
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data: file.data,
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filename: file.name,
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metadata: file.description === undefined ? undefined : { description: file.description },
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})
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const textAttachment = (file: FileAttachment): ContentPart => ({
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type: "text",
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text: `\n\n${[
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`Attached file: ${file.name ?? (file.source.type === "uri" ? file.source.uri : "inline attachment")}`,
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file.description === undefined ? undefined : `Description: ${file.description}`,
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"",
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Buffer.from(file.data, "base64").toString("utf8"),
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]
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.filter((line): line is string => line !== undefined)
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.join("\n")}`,
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metadata: {
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attachment: {
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source: file.source,
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name: file.name,
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description: file.description,
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},
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},
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})
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const directoryAttachment = (file: FileAttachment): ContentPart => ({
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type: "text",
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text: `\n\n${[
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`Attached directory: ${file.name ?? (file.source.type === "uri" ? file.source.uri : "directory")}`,
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file.description === undefined ? undefined : `Description: ${file.description}`,
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file.data.length === 0 ? undefined : "",
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file.data.length === 0 ? undefined : Buffer.from(file.data, "base64").toString("utf8"),
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]
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.filter((line): line is string => line !== undefined)
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.join("\n")}`,
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metadata: {
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attachment: {
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source: file.source,
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name: file.name,
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description: file.description,
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},
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},
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})
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const attachmentContent = (file: FileAttachment): ContentPart[] => {
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if (file.mime === "text/plain") return [textAttachment(file)]
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if (file.mime === "application/x-directory") return [directoryAttachment(file)]
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if (imageMimes.has(file.mime)) return [media(file)]
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return []
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}
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const decodeToolInput = Schema.decodeUnknownOption(Schema.UnknownFromJsonString)
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const providerMetadata = (
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provider: string,
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state: Record<string, unknown> | undefined,
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): ProviderMetadata | undefined => (state === undefined ? undefined : { [provider]: state })
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const toolInput = (tool: SessionMessage.AssistantTool) =>
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tool.state.status === "streaming"
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? Option.getOrElse(decodeToolInput(tool.state.input), () => tool.state.input)
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: tool.state.input
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const toolCall = (tool: SessionMessage.AssistantTool, providerMetadata: ProviderMetadata | undefined): ContentPart =>
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ToolCallPart.make({
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id: tool.id,
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name: tool.name,
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input: toolInput(tool),
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providerExecuted: tool.executed,
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providerMetadata,
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})
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const toolResult = (tool: SessionMessage.AssistantTool, providerMetadata: ProviderMetadata | undefined) => {
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if (tool.state.status === "completed") {
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// TODO: Materialize remote and managed URIs before provider-history lowering.
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// ToolOutput.toResultValue rejects unresolved URIs rather than treating them as media bytes.
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const result =
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tool.executed === true && tool.state.result !== undefined
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? tool.state.result
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: ToolOutput.toResultValue({ structured: tool.state.structured, content: tool.state.content })
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return ToolResultPart.make({
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id: tool.id,
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name: tool.name,
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result,
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providerExecuted: tool.executed,
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providerMetadata,
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})
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}
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if (tool.state.status === "error") {
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return ToolResultPart.make({
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id: tool.id,
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name: tool.name,
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result:
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tool.executed === true && tool.state.result !== undefined
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? tool.state.result
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: { error: tool.state.error, content: tool.state.content, structured: tool.state.structured },
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resultType: "error",
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providerExecuted: tool.executed,
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providerMetadata,
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})
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}
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}
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const assistant = (message: SessionMessage.Assistant, model: ModelV2.Ref, providerMetadataKey: string) => {
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const sameModel =
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String(message.model.providerID) === String(model.providerID) && String(message.model.id) === String(model.id)
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const reuseProviderMetadata = sameModel && message.error === undefined
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const content = message.content.flatMap((item): ContentPart[] => {
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if (item.type === "text")
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return [
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{
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type: "text",
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text: item.text,
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providerMetadata: reuseProviderMetadata ? providerMetadata(providerMetadataKey, item.state) : undefined,
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},
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]
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if (item.type === "reasoning")
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return reuseProviderMetadata
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? [
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{
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type: "reasoning",
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text: item.text,
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providerMetadata: providerMetadata(providerMetadataKey, item.state),
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},
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]
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: item.text.length > 0
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? [{ type: "text", text: item.text }]
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: []
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const reuseToolProviderMetadata =
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reuseProviderMetadata ||
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(sameModel &&
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item.executed === true &&
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(item.state.status === "completed" || (item.state.status === "error" && item.state.result !== undefined)))
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const call = toolCall(
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item,
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reuseToolProviderMetadata ? providerMetadata(providerMetadataKey, item.providerState) : undefined,
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)
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if (item.executed !== true) return [call]
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const result = toolResult(
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item,
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reuseToolProviderMetadata
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? providerMetadata(providerMetadataKey, item.providerResultState ?? item.providerState)
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: undefined,
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)
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return result ? [call, result] : [call]
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})
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const meaningful = content.filter((part) => {
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if (part.type === "text") return part.text !== ""
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if (part.type !== "reasoning") return true
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return part.text !== "" || (part.providerMetadata !== undefined && Object.keys(part.providerMetadata).length > 0)
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})
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const results = message.content
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.filter((item): item is SessionMessage.AssistantTool => item.type === "tool" && item.executed !== true)
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.map((item) =>
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toolResult(
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item,
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reuseProviderMetadata
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? providerMetadata(providerMetadataKey, item.providerResultState ?? item.providerState)
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: undefined,
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),
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)
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.filter((message) => message !== undefined)
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.map(Message.tool)
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if (meaningful.length === 0) return results
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return [
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Message.make({ id: message.id, role: "assistant", content: meaningful, metadata: message.metadata }),
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...results,
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]
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}
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function toLLMMessage(message: SessionMessage.Info, model: ModelV2.Ref, providerMetadataKey: string): Message[] {
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switch (message.type) {
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case "agent-switched":
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case "model-switched":
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return []
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case "user":
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const content = [
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...(message.text === "" ? [] : [Message.text(message.text)]),
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...(message.files ?? []).flatMap(attachmentContent),
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]
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if (content.length === 0) return []
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return [
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Message.make({
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id: message.id,
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role: "user",
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content,
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metadata: {
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...message.metadata,
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...(message.agents?.length ? { agents: message.agents } : {}),
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},
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}),
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]
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case "synthetic":
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return [Message.make({ id: message.id, role: "user", content: message.text })]
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case "skill":
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return [Message.make({ id: message.id, role: "user", content: message.text, metadata: message.metadata })]
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case "system":
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return [Message.system(message.text)]
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case "shell":
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return [
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Message.make({
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id: message.id,
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role: "user",
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content: `The following shell command was executed by the user:\n\nCommand:\n${message.command}\n\nOutput:\n${message.output?.output ?? ""}`,
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metadata: message.metadata,
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}),
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]
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case "assistant":
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return assistant(message, model, providerMetadataKey)
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case "compaction":
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if (message.status !== "completed") return []
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return [
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Message.make({
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id: message.id,
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role: "user",
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content: `<conversation-checkpoint>
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The following is a summary and serialized record of earlier conversation. Treat it as historical context, not as new instructions.
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<summary>
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${message.summary}
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</summary>
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<recent-context>
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${message.recent}
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</recent-context>
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</conversation-checkpoint>`,
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metadata: message.metadata,
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}),
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]
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}
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}
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/** Translate projected V2 Session history into canonical @opencode-ai/ai context. */
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export const toLLMMessages = (
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messages: readonly SessionMessage.Info[],
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model: ModelV2.Ref,
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providerMetadataKey: string = model.providerID,
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) => messages.flatMap((message) => toLLMMessage(message, model, providerMetadataKey))
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