Initial pi-devin package: Devin Local models inside Pi.
Auth and catalog come from the local Devin CLI. Pi stays the harness.
This commit is contained in:
Kashyab Ambarani
+568
@@ -0,0 +1,568 @@
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import { randomUUID } from "node:crypto";
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import * as zlib from "node:zlib";
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import {
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type Api,
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type AssistantMessage,
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type AssistantMessageEventStream,
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type Context,
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type Model,
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type SimpleStreamOptions,
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calculateCost,
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createAssistantMessageEventStream,
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} from "@earendil-works/pi-ai";
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import { mapContextToChat, type ChatHistoryItem, type ContentPart, type ToolDef } from "./context-map.js";
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import { getCachedUserJwt } from "./jwt.js";
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import { buildMetadata } from "./metadata.js";
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import { resolveModelUid } from "./models.js";
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import {
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encodeFixed64Field,
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encodeMessage,
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encodeString,
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encodeVarintField,
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frameConnectStream,
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iterFields,
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} from "./wire.js";
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const SOURCE_BY_ROLE: Record<string, number> = {
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user: 1,
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assistant: 2,
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system: 1,
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tool: 4,
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};
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export type CloudChatEvent =
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| { kind: "text"; text: string }
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| { kind: "reasoning"; text: string }
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| { kind: "tool_call_start"; id: string; name: string }
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| { kind: "tool_call_args"; argsDelta: string; id?: string }
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| { kind: "finish"; reason: "stop" | "tool_calls" | "length" | "content_filter" }
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| {
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kind: "usage";
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promptTokens?: number;
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completionTokens?: number;
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totalTokens?: number;
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cachedInputTokens?: number;
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cacheCreationInputTokens?: number;
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};
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function normalizeContent(content: string | ContentPart[]): ContentPart[] {
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if (typeof content === "string") return [{ type: "text", text: content }];
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return content;
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}
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function collapseSystemIntoUser(messages: ChatHistoryItem[]): ChatHistoryItem[] {
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const out: ChatHistoryItem[] = [];
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let pending: string[] = [];
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const textOf = (content: string | ContentPart[]) =>
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normalizeContent(content)
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.filter((part) => part.type === "text" && part.text)
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.map((part) => part.text as string)
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.join("\n");
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for (const message of messages) {
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if (message.role === "system") {
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const text = textOf(message.content);
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if (text) pending.push(text);
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continue;
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}
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if (message.role === "user" && pending.length > 0) {
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const userParts = normalizeContent(message.content);
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const userText = textOf(userParts);
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const images = userParts.filter((part) => part.type === "image");
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out.push({
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role: "user",
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content: [{ type: "text", text: `<system>\n${pending.join("\n\n")}\n</system>\n${userText}` }, ...images],
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});
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pending = [];
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continue;
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}
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out.push(message);
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}
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if (pending.length > 0) {
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out.push({ role: "user", content: `<system>\n${pending.join("\n\n")}\n</system>` });
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}
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return out;
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}
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function encodeImageData(img: { mimeType?: string; base64Data?: string }): Buffer {
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return Buffer.concat([
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encodeString(1, img.base64Data ?? ""),
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encodeString(2, img.mimeType ?? "image/png"),
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]);
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}
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function encodeChatToolCall(tc: { id: string; name: string; arguments: string }): Buffer {
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return Buffer.concat([encodeString(1, tc.id), encodeString(2, tc.name), encodeString(3, tc.arguments)]);
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}
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function encodeChatMessagePrompt(
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content: ContentPart[],
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source: number,
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opts?: { toolCallId?: string; toolCalls?: Array<{ id: string; name: string; arguments: string }> },
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): Buffer {
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const text = content
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.filter((part) => part.type === "text")
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.map((part) => part.text ?? "")
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.join("\n");
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const parts: Buffer[] = [
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encodeVarintField(2, source),
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encodeString(3, text),
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encodeVarintField(4, Math.max(1, Math.floor(text.length / 4))),
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encodeVarintField(5, 1),
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];
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if (opts?.toolCallId) parts.push(encodeString(7, opts.toolCallId));
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for (const tc of opts?.toolCalls ?? []) parts.push(encodeMessage(6, encodeChatToolCall(tc)));
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for (const img of content.filter((part) => part.type === "image")) {
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parts.push(encodeMessage(10, encodeImageData(img)));
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}
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return Buffer.concat(parts);
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}
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function encodeCompletionConfiguration(maxOutputTokens?: number): Buffer {
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return Buffer.concat([
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encodeVarintField(1, 1),
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encodeVarintField(2, 64_000),
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encodeVarintField(3, maxOutputTokens ?? 128_000),
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encodeFixed64Field(5, 0.7),
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encodeFixed64Field(6, 0.95),
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encodeVarintField(7, 50),
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encodeFixed64Field(8, 1.0),
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encodeFixed64Field(11, 1.0),
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]);
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}
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function encodeToolDef(tool: ToolDef): Buffer {
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const description = tool.description.length > 6_998 ? `${tool.description.slice(0, 6_995)}...` : tool.description;
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return Buffer.concat([
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encodeString(1, tool.name),
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encodeString(2, description),
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encodeString(3, JSON.stringify(tool.parameters ?? {})),
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]);
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}
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function buildGetChatMessageRequest(args: {
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apiKey: string;
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userJwt: string;
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modelUid: string;
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messages: ChatHistoryItem[];
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tools?: ToolDef[];
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cascadeId: string;
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promptId: string;
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sessionId: string;
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requestId: bigint;
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triggerId: string;
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maxOutputTokens?: number;
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}): Buffer {
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const metadata = buildMetadata({
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apiKey: args.apiKey,
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userJwt: args.userJwt,
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sessionId: args.sessionId,
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requestId: args.requestId,
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triggerId: args.triggerId,
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});
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const prompts = collapseSystemIntoUser(args.messages).map((message) =>
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encodeMessage(
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3,
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encodeChatMessagePrompt(normalizeContent(message.content), SOURCE_BY_ROLE[message.role] ?? 1, {
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toolCallId: message.role === "tool" ? message.tool_call_id : undefined,
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toolCalls: message.role === "assistant" ? message.tool_calls : undefined,
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}),
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),
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);
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return Buffer.concat([
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encodeMessage(1, metadata),
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...prompts,
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encodeVarintField(7, 5),
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encodeMessage(8, encodeCompletionConfiguration(args.maxOutputTokens)),
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...(args.tools ?? []).map((tool) => encodeMessage(10, encodeToolDef(tool))),
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encodeString(16, args.cascadeId),
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encodeString(21, args.modelUid),
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encodeString(22, args.promptId),
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]);
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}
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function* decodeChatFrame(proto: Buffer): Generator<CloudChatEvent> {
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for (const field of iterFields(proto)) {
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if (field.num === 3 && field.wire === 2 && Buffer.isBuffer(field.value)) {
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const text = field.value.toString("utf8");
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if (text) yield { kind: "text", text };
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} else if (field.num === 9 && field.wire === 2 && Buffer.isBuffer(field.value)) {
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const text = field.value.toString("utf8");
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if (text) yield { kind: "reasoning", text };
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} else if (field.num === 6 && field.wire === 2 && Buffer.isBuffer(field.value)) {
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let id: string | undefined;
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let name: string | undefined;
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let argsDelta: string | undefined;
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for (const inner of iterFields(field.value)) {
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if (inner.wire === 2 && Buffer.isBuffer(inner.value)) {
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const text = inner.value.toString("utf8");
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if (inner.num === 1) id = text;
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else if (inner.num === 2) name = text;
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else if (inner.num === 3) argsDelta = text;
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}
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}
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if (id !== undefined && name !== undefined) yield { kind: "tool_call_start", id, name };
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if (argsDelta !== undefined) yield { kind: "tool_call_args", argsDelta, ...(id ? { id } : {}) };
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} else if (field.num === 5 && field.wire === 0) {
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const value = Number(field.value);
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let reason: Extract<CloudChatEvent, { kind: "finish" }>['reason'] = "stop";
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if (value === 10) reason = "tool_calls";
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else if (value === 11) reason = "content_filter";
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else if (value === 1 || value === 3) reason = "length";
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yield { kind: "finish", reason };
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} else if (field.num === 28 && field.wire === 2 && Buffer.isBuffer(field.value)) {
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const usage = decodeUsage(field.value);
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if (usage) yield usage;
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}
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}
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}
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function decodeUsage(buf: Buffer): CloudChatEvent | null {
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let promptTokens: number | undefined;
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let completionTokens: number | undefined;
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let cachedInputTokens: number | undefined;
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let cacheCreationInputTokens: number | undefined;
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for (const field of iterFields(buf)) {
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if (field.num !== 2 || field.wire !== 2 || !Buffer.isBuffer(field.value)) continue;
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let metric: string | undefined;
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let value: number | undefined;
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for (const inner of iterFields(field.value)) {
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if (inner.num === 5 && inner.wire === 2 && Buffer.isBuffer(inner.value)) {
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metric = inner.value.toString("utf8");
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} else if (inner.num === 4 && inner.wire === 2 && Buffer.isBuffer(inner.value)) {
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for (const dim of iterFields(inner.value)) {
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if (dim.num === 2 && dim.wire === 5 && Buffer.isBuffer(dim.value)) {
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value = dim.value.readFloatLE(0);
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}
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}
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}
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}
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if (!metric || value === undefined || !Number.isFinite(value)) continue;
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const n = Math.round(value);
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if (metric === "input_tokens") promptTokens = n;
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else if (metric === "output_tokens") completionTokens = n;
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else if (metric.includes("cached") || metric.includes("cache_read")) cachedInputTokens = n;
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else if (metric.includes("cache_creation")) cacheCreationInputTokens = n;
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}
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if (promptTokens === undefined && completionTokens === undefined) return null;
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return {
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kind: "usage",
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promptTokens,
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completionTokens,
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totalTokens: (promptTokens ?? 0) + (completionTokens ?? 0),
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cachedInputTokens,
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cacheCreationInputTokens,
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};
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}
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const sessionCache = new Map<string, { sessionId: string; cascadeId: string }>();
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function sessionIds(apiKey: string, host: string) {
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const key = `${host}\x1f${apiKey}`;
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let ids = sessionCache.get(key);
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if (!ids) {
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ids = { sessionId: randomUUID(), cascadeId: randomUUID() };
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sessionCache.set(key, ids);
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}
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return ids;
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}
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async function* streamChatEvents(args: {
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apiKey: string;
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host: string;
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modelUid: string;
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messages: ChatHistoryItem[];
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tools?: ToolDef[];
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maxOutputTokens?: number;
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signal?: AbortSignal;
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}): AsyncGenerator<CloudChatEvent> {
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const host = args.host.replace(/\/$/, "");
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const userJwt = await getCachedUserJwt(args.apiKey, host, args.signal);
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const ids = sessionIds(args.apiKey, host);
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const proto = buildGetChatMessageRequest({
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apiKey: args.apiKey,
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userJwt,
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modelUid: args.modelUid,
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messages: args.messages,
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tools: args.tools,
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cascadeId: ids.cascadeId,
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promptId: randomUUID(),
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sessionId: ids.sessionId,
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requestId: BigInt(Date.now()),
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triggerId: randomUUID(),
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maxOutputTokens: args.maxOutputTokens,
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});
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const resp = await fetch(`${host}/exa.api_server_pb.ApiServerService/GetChatMessage`, {
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method: "POST",
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headers: {
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"Content-Type": "application/connect+proto",
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"Connect-Protocol-Version": "1",
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"Connect-Content-Encoding": "gzip",
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"Connect-Accept-Encoding": "gzip",
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},
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body: new Uint8Array(frameConnectStream(proto, true)),
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signal: args.signal,
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});
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if (!resp.ok) {
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throw new Error(`GetChatMessage HTTP ${resp.status}: ${(await resp.text()).slice(0, 300)}`);
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}
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if (!resp.body) throw new Error("GetChatMessage returned an empty body");
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const reader = resp.body.getReader();
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const queue: Buffer[] = [];
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let queued = 0;
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let sawEos = false;
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let trailerError: string | null = null;
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const peek = (n: number): Buffer | null => {
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if (queued < n) return null;
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if (queue.length === 1 && queue[0].length >= n) return queue[0].subarray(0, n);
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const parts: Buffer[] = [];
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let remaining = n;
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for (const chunk of queue) {
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if (remaining <= 0) break;
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if (chunk.length <= remaining) {
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parts.push(chunk);
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remaining -= chunk.length;
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} else {
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parts.push(chunk.subarray(0, remaining));
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remaining = 0;
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}
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}
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return Buffer.concat(parts, n);
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};
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const drop = (n: number): void => {
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queued -= n;
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let remaining = n;
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while (remaining > 0 && queue.length > 0) {
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const head = queue[0];
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if (head.length <= remaining) {
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queue.shift();
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remaining -= head.length;
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} else {
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queue[0] = head.subarray(remaining);
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remaining = 0;
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}
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}
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};
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try {
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while (true) {
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const { value, done } = await reader.read();
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if (done) break;
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if (value) {
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queue.push(Buffer.from(value));
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queued += value.length;
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}
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while (queued >= 5) {
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const header = peek(5);
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if (!header) break;
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const flags = header[0];
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const len = header.readUInt32BE(1);
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if (queued < 5 + len) break;
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drop(5);
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const raw = peek(len) ?? Buffer.alloc(0);
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drop(len);
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let payload = raw;
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if (flags & 0x01) payload = zlib.gunzipSync(raw);
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if (flags & 0x02) {
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sawEos = true;
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const text = payload.toString("utf8");
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if (text.includes('"error"')) {
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try {
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const parsed = JSON.parse(text) as { error?: { message?: string } };
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trailerError = parsed.error?.message ?? text;
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} catch {
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trailerError = text;
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}
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}
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continue;
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}
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yield* decodeChatFrame(payload);
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}
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}
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} finally {
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try {
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reader.releaseLock();
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} catch {
|
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// ignore
|
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}
|
||||
try {
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void resp.body?.cancel();
|
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} catch {
|
||||
// ignore
|
||||
}
|
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}
|
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|
||||
if (trailerError) throw new Error(trailerError);
|
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if (!sawEos) throw new Error("Devin stream ended without an EOS trailer");
|
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}
|
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|
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export function streamDevin(
|
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model: Model<Api>,
|
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context: Context,
|
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options?: SimpleStreamOptions,
|
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): AssistantMessageEventStream {
|
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const stream = createAssistantMessageEventStream();
|
||||
|
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void (async () => {
|
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const output: AssistantMessage = {
|
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role: "assistant",
|
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content: [],
|
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api: model.api,
|
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provider: model.provider,
|
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model: model.id,
|
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usage: {
|
||||
input: 0,
|
||||
output: 0,
|
||||
cacheRead: 0,
|
||||
cacheWrite: 0,
|
||||
totalTokens: 0,
|
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
|
||||
},
|
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stopReason: "stop",
|
||||
timestamp: Date.now(),
|
||||
};
|
||||
|
||||
let textOpen = false;
|
||||
let thinkingOpen = false;
|
||||
let toolIndex = -1;
|
||||
let partialJson = "";
|
||||
let toolId = "";
|
||||
let toolName = "";
|
||||
|
||||
const closeText = () => {
|
||||
if (!textOpen) return;
|
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const idx = output.content.length - 1;
|
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const block = output.content[idx];
|
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if (block.type === "text") {
|
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stream.push({ type: "text_end", contentIndex: idx, content: block.text, partial: output });
|
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}
|
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textOpen = false;
|
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};
|
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const closeThinking = () => {
|
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if (!thinkingOpen) return;
|
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const idx = output.content.length - 1;
|
||||
const block = output.content[idx];
|
||||
if (block.type === "thinking") {
|
||||
stream.push({ type: "thinking_end", contentIndex: idx, content: block.thinking, partial: output });
|
||||
}
|
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thinkingOpen = false;
|
||||
};
|
||||
const closeTool = () => {
|
||||
if (toolIndex < 0) return;
|
||||
const block = output.content[toolIndex];
|
||||
if (block.type === "toolCall") {
|
||||
try {
|
||||
block.arguments = JSON.parse(partialJson);
|
||||
} catch {
|
||||
// keep last parsed object
|
||||
}
|
||||
stream.push({
|
||||
type: "toolcall_end",
|
||||
contentIndex: toolIndex,
|
||||
toolCall: { type: "toolCall", id: toolId, name: toolName, arguments: block.arguments },
|
||||
partial: output,
|
||||
});
|
||||
}
|
||||
toolIndex = -1;
|
||||
};
|
||||
|
||||
try {
|
||||
const apiKey = options?.apiKey;
|
||||
if (!apiKey) throw new Error("No Devin credentials. Run /login devin (uses the local Devin CLI).");
|
||||
const host = (options?.env?.DEVIN_API_SERVER_URL || "https://server.codeium.com").replace(/\/$/, "");
|
||||
const modelUid = resolveModelUid(model.id, model.thinkingLevelMap, options?.reasoning);
|
||||
const mapped = mapContextToChat(context);
|
||||
stream.push({ type: "start", partial: output });
|
||||
|
||||
for await (const event of streamChatEvents({
|
||||
apiKey,
|
||||
host,
|
||||
modelUid,
|
||||
messages: mapped.messages,
|
||||
tools: mapped.tools.length > 0 ? mapped.tools : undefined,
|
||||
maxOutputTokens: options?.maxTokens,
|
||||
signal: options?.signal,
|
||||
})) {
|
||||
if (event.kind === "text") {
|
||||
closeThinking();
|
||||
if (!textOpen) {
|
||||
output.content.push({ type: "text", text: "" });
|
||||
stream.push({ type: "text_start", contentIndex: output.content.length - 1, partial: output });
|
||||
textOpen = true;
|
||||
}
|
||||
const idx = output.content.length - 1;
|
||||
const block = output.content[idx];
|
||||
if (block.type === "text") {
|
||||
block.text += event.text;
|
||||
stream.push({ type: "text_delta", contentIndex: idx, delta: event.text, partial: output });
|
||||
}
|
||||
} else if (event.kind === "reasoning") {
|
||||
closeText();
|
||||
if (!thinkingOpen) {
|
||||
output.content.push({ type: "thinking", thinking: "" });
|
||||
stream.push({ type: "thinking_start", contentIndex: output.content.length - 1, partial: output });
|
||||
thinkingOpen = true;
|
||||
}
|
||||
const idx = output.content.length - 1;
|
||||
const block = output.content[idx];
|
||||
if (block.type === "thinking") {
|
||||
block.thinking += event.text;
|
||||
stream.push({ type: "thinking_delta", contentIndex: idx, delta: event.text, partial: output });
|
||||
}
|
||||
} else if (event.kind === "tool_call_start") {
|
||||
closeText();
|
||||
closeThinking();
|
||||
closeTool();
|
||||
toolId = event.id;
|
||||
toolName = event.name;
|
||||
partialJson = "";
|
||||
output.content.push({ type: "toolCall", id: event.id, name: event.name, arguments: {} });
|
||||
toolIndex = output.content.length - 1;
|
||||
stream.push({ type: "toolcall_start", contentIndex: toolIndex, partial: output });
|
||||
} else if (event.kind === "tool_call_args") {
|
||||
if (toolIndex < 0) continue;
|
||||
partialJson += event.argsDelta;
|
||||
const block = output.content[toolIndex];
|
||||
if (block.type === "toolCall") {
|
||||
try {
|
||||
block.arguments = JSON.parse(partialJson);
|
||||
} catch {
|
||||
// incomplete json
|
||||
}
|
||||
}
|
||||
stream.push({ type: "toolcall_delta", contentIndex: toolIndex, delta: event.argsDelta, partial: output });
|
||||
} else if (event.kind === "finish") {
|
||||
closeText();
|
||||
closeThinking();
|
||||
closeTool();
|
||||
output.stopReason =
|
||||
event.reason === "tool_calls" ? "toolUse" : event.reason === "length" ? "length" : "stop";
|
||||
} else if (event.kind === "usage") {
|
||||
output.usage.input = event.promptTokens ?? 0;
|
||||
output.usage.output = event.completionTokens ?? 0;
|
||||
output.usage.cacheRead = event.cachedInputTokens ?? 0;
|
||||
output.usage.cacheWrite = event.cacheCreationInputTokens ?? 0;
|
||||
output.usage.totalTokens = event.totalTokens ?? output.usage.input + output.usage.output;
|
||||
calculateCost(model, output.usage);
|
||||
}
|
||||
}
|
||||
|
||||
closeText();
|
||||
closeThinking();
|
||||
closeTool();
|
||||
stream.push({ type: "done", reason: output.stopReason as "stop" | "length" | "toolUse", message: output });
|
||||
stream.end();
|
||||
} catch (error) {
|
||||
output.stopReason = options?.signal?.aborted ? "aborted" : "error";
|
||||
output.errorMessage = error instanceof Error ? error.message : String(error);
|
||||
stream.push({ type: "error", reason: output.stopReason as "aborted" | "error", error: output });
|
||||
stream.end();
|
||||
}
|
||||
})();
|
||||
|
||||
return stream;
|
||||
}
|
||||
Reference in New Issue
Block a user