oai-reverse-proxy/src/proxy/middleware/request/onproxyreq/add-key.ts

117 lines
3.6 KiB
TypeScript

import { Key, OpenAIKey, keyPool } from "../../../../shared/key-management";
import { isEmbeddingsRequest } from "../../common";
import { HPMRequestCallback } from "../index";
import { assertNever } from "../../../../shared/utils";
export const addKey: HPMRequestCallback = (proxyReq, req) => {
let assignedKey: Key;
const { service, inboundApi, outboundApi, body } = req;
if (!inboundApi || !outboundApi) {
const err = new Error(
"Request API format missing. Did you forget to add the request preprocessor to your router?"
);
req.log.error({ inboundApi, outboundApi, path: req.path }, err.message);
throw err;
}
if (!body?.model) {
throw new Error("You must specify a model with your request.");
}
if (inboundApi === outboundApi) {
assignedKey = keyPool.get(body.model, service);
} else {
switch (outboundApi) {
// If we are translating between API formats we may need to select a model
// for the user, because the provided model is for the inbound API.
// TODO: This whole else condition is probably no longer needed since API
// translation now reassigns the model earlier in the request pipeline.
case "anthropic-chat":
case "anthropic-text":
assignedKey = keyPool.get("claude-v1", service);
break;
case "openai-text":
assignedKey = keyPool.get("gpt-3.5-turbo-instruct", service);
break;
case "openai-image":
assignedKey = keyPool.get("dall-e-3", service);
break;
case "openai":
case "google-ai":
case "mistral-ai":
throw new Error(
`add-key should not be called for outbound API ${outboundApi}`
);
default:
assertNever(outboundApi);
}
}
req.key = assignedKey;
req.log.info(
{ key: assignedKey.hash, model: body.model, inboundApi, outboundApi },
"Assigned key to request"
);
// TODO: KeyProvider should assemble all necessary headers
switch (assignedKey.service) {
case "anthropic":
proxyReq.setHeader("X-API-Key", assignedKey.key);
break;
case "openai":
const key: OpenAIKey = assignedKey as OpenAIKey;
if (key.organizationId) {
proxyReq.setHeader("OpenAI-Organization", key.organizationId);
}
proxyReq.setHeader("Authorization", `Bearer ${assignedKey.key}`);
break;
case "mistral-ai":
proxyReq.setHeader("Authorization", `Bearer ${assignedKey.key}`);
break;
case "azure":
const azureKey = assignedKey.key;
proxyReq.setHeader("api-key", azureKey);
break;
case "aws":
case "google-ai":
throw new Error("add-key should not be used for this service.");
default:
assertNever(assignedKey.service);
}
};
/**
* Special case for embeddings requests which don't go through the normal
* request pipeline.
*/
export const addKeyForEmbeddingsRequest: HPMRequestCallback = (
proxyReq,
req
) => {
if (!isEmbeddingsRequest(req)) {
throw new Error(
"addKeyForEmbeddingsRequest called on non-embeddings request"
);
}
if (req.inboundApi !== "openai") {
throw new Error("Embeddings requests must be from OpenAI");
}
req.body = { input: req.body.input, model: "text-embedding-ada-002" };
const key = keyPool.get("text-embedding-ada-002", "openai") as OpenAIKey;
req.key = key;
req.log.info(
{ key: key.hash, toApi: req.outboundApi },
"Assigned Turbo key to embeddings request"
);
proxyReq.setHeader("Authorization", `Bearer ${key.key}`);
if (key.organizationId) {
proxyReq.setHeader("OpenAI-Organization", key.organizationId);
}
};