vultr/openclaw
1
0
Fork 0
mirror of https://github.com/openclaw/openclaw.git synced 2026-05-05 04:40:23 +00:00
Code Issues Packages Projects Releases Wiki Activity

refactor(memory): dedupe batch helpers

Browse Source
This commit is contained in:
Peter Steinberger
2026-02-16 00:26:03 +00:00
parent ae1880acf6
commit 8251f7c235
3 changed files with 55 additions and 80 deletions
Download Patch File Download Diff File Expand all files Collapse all files

48
src/memory/batch-openai.ts
View File

@@ -1,6 +1,7 @@
import type { OpenAiEmbeddingClient } from "./embeddings-openai.js";
import { postJsonWithRetry } from "./batch-http.js";
import { applyEmbeddingBatchOutputLine } from "./batch-output.js";
import { buildBatchHeaders, normalizeBatchBaseUrl, splitBatchRequests } from "./batch-utils.js";
import { hashText, runWithConcurrency } from "./internal.js";
export type OpenAiBatchRequest = {
@@ -36,43 +37,12 @@ export const OPENAI_BATCH_ENDPOINT = "/v1/embeddings";
const OPENAI_BATCH_COMPLETION_WINDOW = "24h";
const OPENAI_BATCH_MAX_REQUESTS = 50000;
function getOpenAiBaseUrl(openAi: OpenAiEmbeddingClient): string {
return openAi.baseUrl?.replace(/\/$/, "") ?? "";
}
function getOpenAiHeaders(
openAi: OpenAiEmbeddingClient,
params: { json: boolean },
): Record<string, string> {
const headers = openAi.headers ? { ...openAi.headers } : {};
if (params.json) {
if (!headers["Content-Type"] && !headers["content-type"]) {
headers["Content-Type"] = "application/json";
}
} else {
delete headers["Content-Type"];
delete headers["content-type"];
}
return headers;
}
function splitOpenAiBatchRequests(requests: OpenAiBatchRequest[]): OpenAiBatchRequest[][] {
if (requests.length <= OPENAI_BATCH_MAX_REQUESTS) {
return [requests];
}
const groups: OpenAiBatchRequest[][] = [];
for (let i = 0; i < requests.length; i += OPENAI_BATCH_MAX_REQUESTS) {
groups.push(requests.slice(i, i + OPENAI_BATCH_MAX_REQUESTS));
}
return groups;
}
async function submitOpenAiBatch(params: {
openAi: OpenAiEmbeddingClient;
requests: OpenAiBatchRequest[];
agentId: string;
}): Promise<OpenAiBatchStatus> {
const baseUrl = getOpenAiBaseUrl(params.openAi);
const baseUrl = normalizeBatchBaseUrl(params.openAi);
const jsonl = params.requests.map((request) => JSON.stringify(request)).join("\n");
const form = new FormData();
form.append("purpose", "batch");
@@ -84,7 +54,7 @@ async function submitOpenAiBatch(params: {
const fileRes = await fetch(`${baseUrl}/files`, {
method: "POST",
headers: getOpenAiHeaders(params.openAi, { json: false }),
headers: buildBatchHeaders(params.openAi, { json: false }),
body: form,
});
if (!fileRes.ok) {
@@ -98,7 +68,7 @@ async function submitOpenAiBatch(params: {
return await postJsonWithRetry<OpenAiBatchStatus>({
url: `${baseUrl}/batches`,
headers: getOpenAiHeaders(params.openAi, { json: true }),
headers: buildBatchHeaders(params.openAi, { json: true }),
body: {
input_file_id: filePayload.id,
endpoint: OPENAI_BATCH_ENDPOINT,
@@ -116,9 +86,9 @@ async function fetchOpenAiBatchStatus(params: {
openAi: OpenAiEmbeddingClient;
batchId: string;
}): Promise<OpenAiBatchStatus> {
const baseUrl = getOpenAiBaseUrl(params.openAi);
const baseUrl = normalizeBatchBaseUrl(params.openAi);
const res = await fetch(`${baseUrl}/batches/${params.batchId}`, {
headers: getOpenAiHeaders(params.openAi, { json: true }),
headers: buildBatchHeaders(params.openAi, { json: true }),
});
if (!res.ok) {
const text = await res.text();
@@ -131,9 +101,9 @@ async function fetchOpenAiFileContent(params: {
openAi: OpenAiEmbeddingClient;
fileId: string;
}): Promise<string> {
const baseUrl = getOpenAiBaseUrl(params.openAi);
const baseUrl = normalizeBatchBaseUrl(params.openAi);
const res = await fetch(`${baseUrl}/files/${params.fileId}/content`, {
headers: getOpenAiHeaders(params.openAi, { json: true }),
headers: buildBatchHeaders(params.openAi, { json: true }),
});
if (!res.ok) {
const text = await res.text();
@@ -236,7 +206,7 @@ export async function runOpenAiEmbeddingBatches(params: {
if (params.requests.length === 0) {
return new Map();
}
const groups = splitOpenAiBatchRequests(params.requests);
const groups = splitBatchRequests(params.requests, OPENAI_BATCH_MAX_REQUESTS);
const byCustomId = new Map<string, number[]>();
const tasks = groups.map((group, groupIndex) => async () => {

35
src/memory/batch-utils.ts Normal file
View File

@@ -0,0 +1,35 @@
export type BatchHttpClientConfig = {
baseUrl?: string;
headers?: Record<string, string>;
};
export function normalizeBatchBaseUrl(client: BatchHttpClientConfig): string {
return client.baseUrl?.replace(/\/$/, "") ?? "";
}
export function buildBatchHeaders(
client: Pick<BatchHttpClientConfig, "headers">,
params: { json: boolean },
): Record<string, string> {
const headers = client.headers ? { ...client.headers } : {};
if (params.json) {
if (!headers["Content-Type"] && !headers["content-type"]) {
headers["Content-Type"] = "application/json";
}
} else {
delete headers["Content-Type"];
delete headers["content-type"];
}
return headers;
}
export function splitBatchRequests<T>(requests: T[], maxRequests: number): T[][] {
if (requests.length <= maxRequests) {
return [requests];
}
const groups: T[][] = [];
for (let i = 0; i < requests.length; i += maxRequests) {
groups.push(requests.slice(i, i + maxRequests));
}
return groups;
}

52
src/memory/batch-voyage.ts
View File

@@ -3,6 +3,7 @@ import { Readable } from "node:stream";
import type { VoyageEmbeddingClient } from "./embeddings-voyage.js";
import { postJsonWithRetry } from "./batch-http.js";
import { applyEmbeddingBatchOutputLine } from "./batch-output.js";
import { buildBatchHeaders, normalizeBatchBaseUrl, splitBatchRequests } from "./batch-utils.js";
import { hashText, runWithConcurrency } from "./internal.js";
/**
@@ -39,43 +40,12 @@ export const VOYAGE_BATCH_ENDPOINT = "/v1/embeddings";
const VOYAGE_BATCH_COMPLETION_WINDOW = "12h";
const VOYAGE_BATCH_MAX_REQUESTS = 50000;
function getVoyageBaseUrl(client: VoyageEmbeddingClient): string {
return client.baseUrl?.replace(/\/$/, "") ?? "";
}
function getVoyageHeaders(
client: VoyageEmbeddingClient,
params: { json: boolean },
): Record<string, string> {
const headers = client.headers ? { ...client.headers } : {};
if (params.json) {
if (!headers["Content-Type"] && !headers["content-type"]) {
headers["Content-Type"] = "application/json";
}
} else {
delete headers["Content-Type"];
delete headers["content-type"];
}
return headers;
}
function splitVoyageBatchRequests(requests: VoyageBatchRequest[]): VoyageBatchRequest[][] {
if (requests.length <= VOYAGE_BATCH_MAX_REQUESTS) {
return [requests];
}
const groups: VoyageBatchRequest[][] = [];
for (let i = 0; i < requests.length; i += VOYAGE_BATCH_MAX_REQUESTS) {
groups.push(requests.slice(i, i + VOYAGE_BATCH_MAX_REQUESTS));
}
return groups;
}
async function submitVoyageBatch(params: {
client: VoyageEmbeddingClient;
requests: VoyageBatchRequest[];
agentId: string;
}): Promise<VoyageBatchStatus> {
const baseUrl = getVoyageBaseUrl(params.client);
const baseUrl = normalizeBatchBaseUrl(params.client);
const jsonl = params.requests.map((request) => JSON.stringify(request)).join("\n");
const form = new FormData();
form.append("purpose", "batch");
@@ -88,7 +58,7 @@ async function submitVoyageBatch(params: {
// 1. Upload file using Voyage Files API
const fileRes = await fetch(`${baseUrl}/files`, {
method: "POST",
headers: getVoyageHeaders(params.client, { json: false }),
headers: buildBatchHeaders(params.client, { json: false }),
body: form,
});
if (!fileRes.ok) {
@@ -103,7 +73,7 @@ async function submitVoyageBatch(params: {
// 2. Create batch job using Voyage Batches API
return await postJsonWithRetry<VoyageBatchStatus>({
url: `${baseUrl}/batches`,
headers: getVoyageHeaders(params.client, { json: true }),
headers: buildBatchHeaders(params.client, { json: true }),
body: {
input_file_id: filePayload.id,
endpoint: VOYAGE_BATCH_ENDPOINT,
@@ -125,9 +95,9 @@ async function fetchVoyageBatchStatus(params: {
client: VoyageEmbeddingClient;
batchId: string;
}): Promise<VoyageBatchStatus> {
const baseUrl = getVoyageBaseUrl(params.client);
const baseUrl = normalizeBatchBaseUrl(params.client);
const res = await fetch(`${baseUrl}/batches/${params.batchId}`, {
headers: getVoyageHeaders(params.client, { json: true }),
headers: buildBatchHeaders(params.client, { json: true }),
});
if (!res.ok) {
const text = await res.text();
@@ -141,9 +111,9 @@ async function readVoyageBatchError(params: {
errorFileId: string;
}): Promise<string | undefined> {
try {
const baseUrl = getVoyageBaseUrl(params.client);
const baseUrl = normalizeBatchBaseUrl(params.client);
const res = await fetch(`${baseUrl}/files/${params.errorFileId}/content`, {
headers: getVoyageHeaders(params.client, { json: true }),
headers: buildBatchHeaders(params.client, { json: true }),
});
if (!res.ok) {
const text = await res.text();
@@ -231,7 +201,7 @@ export async function runVoyageEmbeddingBatches(params: {
if (params.requests.length === 0) {
return new Map();
}
const groups = splitVoyageBatchRequests(params.requests);
const groups = splitBatchRequests(params.requests, VOYAGE_BATCH_MAX_REQUESTS);
const byCustomId = new Map<string, number[]>();
const tasks = groups.map((group, groupIndex) => async () => {
@@ -277,9 +247,9 @@ export async function runVoyageEmbeddingBatches(params: {
throw new Error(`voyage batch ${batchInfo.id} completed without output file`);
}
const baseUrl = getVoyageBaseUrl(params.client);
const baseUrl = normalizeBatchBaseUrl(params.client);
const contentRes = await fetch(`${baseUrl}/files/${completed.outputFileId}/content`, {
headers: getVoyageHeaders(params.client, { json: true }),
headers: buildBatchHeaders(params.client, { json: true }),
});
if (!contentRes.ok) {
const text = await contentRes.text();