File size: 5,772 Bytes
f0743f4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 | import { ProxyAgent } from 'undici';
import { Providers } from '@librechat/agents';
import { KnownEndpoints, EModelEndpoint } from 'librechat-data-provider';
import type * as t from '~/types';
import { getLLMConfig as getAnthropicLLMConfig } from '~/endpoints/anthropic/llm';
import { getOpenAILLMConfig, extractDefaultParams } from './llm';
import { getGoogleConfig } from '~/endpoints/google/llm';
import { transformToOpenAIConfig } from './transform';
import { constructAzureURL } from '~/utils/azure';
import { createFetch } from '~/utils/generators';
type Fetch = (input: string | URL | Request, init?: RequestInit) => Promise<Response>;
/**
* Generates configuration options for creating a language model (LLM) instance.
* @param apiKey - The API key for authentication.
* @param options - Additional options for configuring the LLM.
* @param endpoint - The endpoint name
* @returns Configuration options for creating an LLM instance.
*/
export function getOpenAIConfig(
apiKey: string,
options: t.OpenAIConfigOptions = {},
endpoint?: string | null,
): t.OpenAIConfigResult {
const {
proxy,
addParams,
dropParams,
defaultQuery,
directEndpoint,
streaming = true,
modelOptions = {},
reverseProxyUrl: baseURL,
} = options;
/** Extract default params from customParams.paramDefinitions */
const defaultParams = extractDefaultParams(options.customParams?.paramDefinitions);
let llmConfig: t.OAIClientOptions;
let tools: t.LLMConfigResult['tools'];
const isAnthropic = options.customParams?.defaultParamsEndpoint === EModelEndpoint.anthropic;
const isGoogle = options.customParams?.defaultParamsEndpoint === EModelEndpoint.google;
const useOpenRouter =
!isAnthropic &&
!isGoogle &&
((baseURL && baseURL.includes(KnownEndpoints.openrouter)) ||
(endpoint != null && endpoint.toLowerCase().includes(KnownEndpoints.openrouter)));
const isVercel =
!isAnthropic &&
!isGoogle &&
((baseURL && baseURL.includes('ai-gateway.vercel.sh')) ||
(endpoint != null && endpoint.toLowerCase().includes(KnownEndpoints.vercel)));
let azure = options.azure;
let headers = options.headers;
if (isAnthropic) {
const anthropicResult = getAnthropicLLMConfig(apiKey, {
modelOptions,
proxy: options.proxy,
reverseProxyUrl: baseURL,
addParams,
dropParams,
defaultParams,
});
/** Transform handles addParams/dropParams - it knows about OpenAI params */
const transformed = transformToOpenAIConfig({
addParams,
dropParams,
llmConfig: anthropicResult.llmConfig,
fromEndpoint: EModelEndpoint.anthropic,
});
llmConfig = transformed.llmConfig;
tools = anthropicResult.tools;
if (transformed.configOptions?.defaultHeaders) {
headers = Object.assign(headers ?? {}, transformed.configOptions?.defaultHeaders);
}
} else if (isGoogle) {
const googleResult = getGoogleConfig(
apiKey,
{
modelOptions,
reverseProxyUrl: baseURL ?? undefined,
authHeader: true,
addParams,
dropParams,
defaultParams,
},
true,
);
/** Transform handles addParams/dropParams - it knows about OpenAI params */
const transformed = transformToOpenAIConfig({
addParams,
dropParams,
defaultParams,
tools: googleResult.tools,
llmConfig: googleResult.llmConfig,
fromEndpoint: EModelEndpoint.google,
});
llmConfig = transformed.llmConfig;
tools = transformed.tools;
} else {
const openaiResult = getOpenAILLMConfig({
azure,
apiKey,
baseURL,
endpoint,
streaming,
addParams,
dropParams,
defaultParams,
modelOptions,
useOpenRouter,
});
llmConfig = openaiResult.llmConfig;
azure = openaiResult.azure;
tools = openaiResult.tools;
}
const configOptions: t.OpenAIConfiguration = {};
if (baseURL) {
configOptions.baseURL = baseURL;
}
if (useOpenRouter || isVercel) {
configOptions.defaultHeaders = Object.assign(
{
'HTTP-Referer': 'https://librechat.ai',
'X-Title': 'LibreChat',
},
headers,
);
} else if (headers) {
configOptions.defaultHeaders = headers;
}
if (defaultQuery) {
configOptions.defaultQuery = defaultQuery;
}
if (proxy) {
const proxyAgent = new ProxyAgent(proxy);
configOptions.fetchOptions = {
dispatcher: proxyAgent,
};
}
if (azure && !isAnthropic) {
const constructAzureResponsesApi = () => {
if (!llmConfig.useResponsesApi || !azure) {
return;
}
const updatedUrl = configOptions.baseURL?.replace(/\/deployments(?:\/.*)?$/, '/v1');
configOptions.baseURL = constructAzureURL({
baseURL: updatedUrl || 'https://${INSTANCE_NAME}.openai.azure.com/openai/v1',
azureOptions: azure,
});
configOptions.defaultHeaders = {
...configOptions.defaultHeaders,
'api-key': apiKey,
};
configOptions.defaultQuery = {
...configOptions.defaultQuery,
'api-version': configOptions.defaultQuery?.['api-version'] ?? 'preview',
};
};
constructAzureResponsesApi();
}
if (process.env.OPENAI_ORGANIZATION && !isAnthropic) {
configOptions.organization = process.env.OPENAI_ORGANIZATION;
}
if (directEndpoint === true && configOptions?.baseURL != null) {
configOptions.fetch = createFetch({
directEndpoint: directEndpoint,
reverseProxyUrl: configOptions?.baseURL,
}) as unknown as Fetch;
}
const result: t.OpenAIConfigResult = {
llmConfig,
configOptions,
tools,
};
if (useOpenRouter) {
result.provider = Providers.OPENROUTER;
}
return result;
}
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