mirror of
https://github.com/danny-avila/LibreChat.git
synced 2026-01-10 04:28:50 +01:00
Merge 9c61d73076 into 5bfebc7c9d
This commit is contained in:
Marco Beretta
GitHub
commit
c91bc818aa
18 changed files with 1111 additions and 357 deletions
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@ -7,6 +7,7 @@ import {
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isAgentsEndpoint,
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replaceSpecialVars,
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providerEndpointMap,
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TOKEN_DEFAULTS,
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} from 'librechat-data-provider';
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import type {
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AgentToolResources,
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|
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@ -240,7 +241,7 @@ export async function initializeAgent(
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providerEndpointMap[provider as keyof typeof providerEndpointMap],
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options.endpointTokenConfig,
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),
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18000,
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TOKEN_DEFAULTS.AGENT_CONTEXT_FALLBACK,
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);
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if (
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|
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@ -293,7 +294,7 @@ export async function initializeAgent(
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agent.additional_instructions = artifactsPromptResult ?? undefined;
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}
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const agentMaxContextNum = Number(agentMaxContextTokens) || 18000;
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const agentMaxContextNum = Number(agentMaxContextTokens) || TOKEN_DEFAULTS.AGENT_CONTEXT_FALLBACK;
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const maxOutputTokensNum = Number(maxOutputTokens) || 0;
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const finalAttachments: IMongoFile[] = (primedAttachments ?? [])
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|
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@ -308,7 +309,9 @@ export async function initializeAgent(
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userMCPAuthMap,
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toolContextMap: toolContextMap ?? {},
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useLegacyContent: !!options.useLegacyContent,
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maxContextTokens: Math.round((agentMaxContextNum - maxOutputTokensNum) * 0.9),
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maxContextTokens: Math.round(
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(agentMaxContextNum - maxOutputTokensNum) * TOKEN_DEFAULTS.CONTEXT_SAFETY_MARGIN,
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),
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};
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return initializedAgent;
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|
|
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@ -1,353 +1,7 @@
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import z from 'zod';
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import { EModelEndpoint } from 'librechat-data-provider';
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import { EModelEndpoint, maxTokensMap, maxOutputTokensMap } from 'librechat-data-provider';
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import type { EndpointTokenConfig, TokenConfig } from '~/types';
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const openAIModels = {
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'o4-mini': 200000,
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'o3-mini': 195000, // -5000 from max
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o3: 200000,
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o1: 195000, // -5000 from max
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'o1-mini': 127500, // -500 from max
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'o1-preview': 127500, // -500 from max
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'gpt-4': 8187, // -5 from max
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'gpt-4-0613': 8187, // -5 from max
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'gpt-4-32k': 32758, // -10 from max
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'gpt-4-32k-0314': 32758, // -10 from max
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'gpt-4-32k-0613': 32758, // -10 from max
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'gpt-4-1106': 127500, // -500 from max
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'gpt-4-0125': 127500, // -500 from max
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'gpt-4.5': 127500, // -500 from max
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'gpt-4.1': 1047576,
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'gpt-4.1-mini': 1047576,
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'gpt-4.1-nano': 1047576,
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'gpt-5': 400000,
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'gpt-5-mini': 400000,
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'gpt-5-nano': 400000,
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'gpt-5-pro': 400000,
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'gpt-4o': 127500, // -500 from max
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'gpt-4o-mini': 127500, // -500 from max
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'gpt-4o-2024-05-13': 127500, // -500 from max
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'gpt-4-turbo': 127500, // -500 from max
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'gpt-4-vision': 127500, // -500 from max
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'gpt-3.5-turbo': 16375, // -10 from max
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'gpt-3.5-turbo-0613': 4092, // -5 from max
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'gpt-3.5-turbo-0301': 4092, // -5 from max
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'gpt-3.5-turbo-16k': 16375, // -10 from max
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'gpt-3.5-turbo-16k-0613': 16375, // -10 from max
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'gpt-3.5-turbo-1106': 16375, // -10 from max
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'gpt-3.5-turbo-0125': 16375, // -10 from max
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};
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const mistralModels = {
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'mistral-': 31990, // -10 from max
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'mistral-7b': 31990, // -10 from max
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'mistral-small': 31990, // -10 from max
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'mixtral-8x7b': 31990, // -10 from max
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'mixtral-8x22b': 65536,
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'mistral-large': 131000,
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'mistral-large-2402': 127500,
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'mistral-large-2407': 127500,
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'mistral-nemo': 131000,
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'pixtral-large': 131000,
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'mistral-saba': 32000,
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codestral: 256000,
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'ministral-8b': 131000,
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'ministral-3b': 131000,
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};
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const cohereModels = {
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'command-light': 4086, // -10 from max
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'command-light-nightly': 8182, // -10 from max
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command: 4086, // -10 from max
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'command-nightly': 8182, // -10 from max
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'command-text': 4086, // -10 from max
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'command-r': 127500, // -500 from max
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'command-r-plus': 127500, // -500 from max
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};
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const googleModels = {
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/* Max I/O is combined so we subtract the amount from max response tokens for actual total */
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gemma: 8196,
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'gemma-2': 32768,
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'gemma-3': 32768,
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'gemma-3-27b': 131072,
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gemini: 30720, // -2048 from max
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'gemini-pro-vision': 12288,
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'gemini-exp': 2000000,
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'gemini-3': 1000000, // 1M input tokens, 64k output tokens
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'gemini-2.5': 1000000, // 1M input tokens, 64k output tokens
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'gemini-2.5-pro': 1000000,
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'gemini-2.5-flash': 1000000,
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'gemini-2.5-flash-lite': 1000000,
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'gemini-2.0': 2000000,
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'gemini-2.0-flash': 1000000,
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'gemini-2.0-flash-lite': 1000000,
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'gemini-1.5': 1000000,
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'gemini-1.5-flash': 1000000,
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'gemini-1.5-flash-8b': 1000000,
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'text-bison-32k': 32758, // -10 from max
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'chat-bison-32k': 32758, // -10 from max
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'code-bison-32k': 32758, // -10 from max
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'codechat-bison-32k': 32758,
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/* Codey, -5 from max: 6144 */
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'code-': 6139,
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'codechat-': 6139,
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/* PaLM2, -5 from max: 8192 */
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'text-': 8187,
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'chat-': 8187,
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};
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const anthropicModels = {
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'claude-': 100000,
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'claude-instant': 100000,
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'claude-2': 100000,
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'claude-2.1': 200000,
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'claude-3': 200000,
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'claude-3-haiku': 200000,
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'claude-3-sonnet': 200000,
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'claude-3-opus': 200000,
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'claude-3.5-haiku': 200000,
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'claude-3-5-haiku': 200000,
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'claude-3-5-sonnet': 200000,
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'claude-3.5-sonnet': 200000,
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'claude-3-7-sonnet': 200000,
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'claude-3.7-sonnet': 200000,
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'claude-3-5-sonnet-latest': 200000,
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'claude-3.5-sonnet-latest': 200000,
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'claude-haiku-4-5': 200000,
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'claude-sonnet-4': 1000000,
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'claude-4': 200000,
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'claude-opus-4': 200000,
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'claude-opus-4-5': 200000,
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};
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const deepseekModels = {
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deepseek: 128000,
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'deepseek-chat': 128000,
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'deepseek-reasoner': 128000,
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'deepseek-r1': 128000,
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'deepseek-v3': 128000,
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'deepseek.r1': 128000,
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};
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const metaModels = {
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// Basic patterns
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llama3: 8000,
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llama2: 4000,
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'llama-3': 8000,
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'llama-2': 4000,
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// llama3.x pattern
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'llama3.1': 127500,
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'llama3.2': 127500,
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'llama3.3': 127500,
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// llama3-x pattern
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'llama3-1': 127500,
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'llama3-2': 127500,
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'llama3-3': 127500,
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// llama-3.x pattern
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'llama-3.1': 127500,
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'llama-3.2': 127500,
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'llama-3.3': 127500,
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// llama3.x:Nb pattern
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'llama3.1:405b': 127500,
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'llama3.1:70b': 127500,
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'llama3.1:8b': 127500,
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'llama3.2:1b': 127500,
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'llama3.2:3b': 127500,
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'llama3.2:11b': 127500,
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'llama3.2:90b': 127500,
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'llama3.3:70b': 127500,
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// llama3-x-Nb pattern
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'llama3-1-405b': 127500,
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'llama3-1-70b': 127500,
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'llama3-1-8b': 127500,
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'llama3-2-1b': 127500,
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'llama3-2-3b': 127500,
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'llama3-2-11b': 127500,
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'llama3-2-90b': 127500,
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'llama3-3-70b': 127500,
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// llama-3.x-Nb pattern
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'llama-3.1-405b': 127500,
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'llama-3.1-70b': 127500,
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'llama-3.1-8b': 127500,
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'llama-3.2-1b': 127500,
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'llama-3.2-3b': 127500,
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'llama-3.2-11b': 127500,
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'llama-3.2-90b': 127500,
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'llama-3.3-70b': 127500,
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// Original llama2/3 patterns
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'llama3-70b': 8000,
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'llama3-8b': 8000,
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'llama2-70b': 4000,
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'llama2-13b': 4000,
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'llama3:70b': 8000,
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'llama3:8b': 8000,
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'llama2:70b': 4000,
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};
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const qwenModels = {
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qwen: 32000,
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'qwen2.5': 32000,
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'qwen-turbo': 1000000,
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'qwen-plus': 131000,
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'qwen-max': 32000,
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'qwq-32b': 32000,
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// Qwen3 models
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qwen3: 40960, // Qwen3 base pattern (using qwen3-4b context)
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'qwen3-8b': 128000,
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'qwen3-14b': 40960,
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'qwen3-30b-a3b': 40960,
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'qwen3-32b': 40960,
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'qwen3-235b-a22b': 40960,
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// Qwen3 VL (Vision-Language) models
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'qwen3-vl-8b-thinking': 256000,
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'qwen3-vl-8b-instruct': 262144,
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'qwen3-vl-30b-a3b': 262144,
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'qwen3-vl-235b-a22b': 131072,
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// Qwen3 specialized models
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'qwen3-max': 256000,
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'qwen3-coder': 262144,
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'qwen3-coder-30b-a3b': 262144,
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'qwen3-coder-plus': 128000,
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'qwen3-coder-flash': 128000,
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'qwen3-next-80b-a3b': 262144,
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};
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const ai21Models = {
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'j2-mid': 8182, // -10 from max
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'j2-ultra': 8182, // -10 from max
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'jamba-instruct': 255500, // -500 from max
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};
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|
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const amazonModels = {
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// Amazon Titan models
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'titan-text-lite': 4000,
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'titan-text-express': 8000,
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'titan-text-premier': 31500, // -500 from max
|
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// Amazon Nova models
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// https://aws.amazon.com/ai/generative-ai/nova/
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'nova-micro': 127000, // -1000 from max
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'nova-lite': 295000, // -5000 from max
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'nova-pro': 295000, // -5000 from max
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'nova-premier': 995000, // -5000 from max
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};
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const bedrockModels = {
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...anthropicModels,
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...mistralModels,
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...cohereModels,
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...deepseekModels,
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...metaModels,
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...ai21Models,
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...amazonModels,
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};
|
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|
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const xAIModels = {
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grok: 131072,
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'grok-beta': 131072,
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'grok-vision-beta': 8192,
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'grok-2': 131072,
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||||
'grok-2-latest': 131072,
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||||
'grok-2-1212': 131072,
|
||||
'grok-2-vision': 32768,
|
||||
'grok-2-vision-latest': 32768,
|
||||
'grok-2-vision-1212': 32768,
|
||||
'grok-3': 131072,
|
||||
'grok-3-fast': 131072,
|
||||
'grok-3-mini': 131072,
|
||||
'grok-3-mini-fast': 131072,
|
||||
'grok-4': 256000, // 256K context
|
||||
'grok-4-fast': 2000000, // 2M context
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||||
'grok-4-1-fast': 2000000, // 2M context (covers reasoning & non-reasoning variants)
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||||
'grok-code-fast': 256000, // 256K context
|
||||
};
|
||||
|
||||
const aggregateModels = {
|
||||
...openAIModels,
|
||||
...googleModels,
|
||||
...bedrockModels,
|
||||
...xAIModels,
|
||||
...qwenModels,
|
||||
// misc.
|
||||
kimi: 131000,
|
||||
// GPT-OSS
|
||||
'gpt-oss': 131000,
|
||||
'gpt-oss:20b': 131000,
|
||||
'gpt-oss-20b': 131000,
|
||||
'gpt-oss:120b': 131000,
|
||||
'gpt-oss-120b': 131000,
|
||||
// GLM models (Zhipu AI)
|
||||
glm4: 128000,
|
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'glm-4': 128000,
|
||||
'glm-4-32b': 128000,
|
||||
'glm-4.5': 131000,
|
||||
'glm-4.5-air': 131000,
|
||||
'glm-4.5v': 66000,
|
||||
'glm-4.6': 200000,
|
||||
};
|
||||
|
||||
export const maxTokensMap = {
|
||||
[EModelEndpoint.azureOpenAI]: openAIModels,
|
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[EModelEndpoint.openAI]: aggregateModels,
|
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[EModelEndpoint.agents]: aggregateModels,
|
||||
[EModelEndpoint.custom]: aggregateModels,
|
||||
[EModelEndpoint.google]: googleModels,
|
||||
[EModelEndpoint.anthropic]: anthropicModels,
|
||||
[EModelEndpoint.bedrock]: bedrockModels,
|
||||
};
|
||||
|
||||
export const modelMaxOutputs = {
|
||||
o1: 32268, // -500 from max: 32,768
|
||||
'o1-mini': 65136, // -500 from max: 65,536
|
||||
'o1-preview': 32268, // -500 from max: 32,768
|
||||
'gpt-5': 128000,
|
||||
'gpt-5-mini': 128000,
|
||||
'gpt-5-nano': 128000,
|
||||
'gpt-5-pro': 128000,
|
||||
'gpt-oss-20b': 131000,
|
||||
'gpt-oss-120b': 131000,
|
||||
system_default: 32000,
|
||||
};
|
||||
|
||||
/** Outputs from https://docs.anthropic.com/en/docs/about-claude/models/all-models#model-names */
|
||||
const anthropicMaxOutputs = {
|
||||
'claude-3-haiku': 4096,
|
||||
'claude-3-sonnet': 4096,
|
||||
'claude-3-opus': 4096,
|
||||
'claude-haiku-4-5': 64000,
|
||||
'claude-sonnet-4': 64000,
|
||||
'claude-opus-4': 32000,
|
||||
'claude-opus-4-5': 64000,
|
||||
'claude-3.5-sonnet': 8192,
|
||||
'claude-3-5-sonnet': 8192,
|
||||
'claude-3.7-sonnet': 128000,
|
||||
'claude-3-7-sonnet': 128000,
|
||||
};
|
||||
|
||||
/** Outputs from https://api-docs.deepseek.com/quick_start/pricing */
|
||||
const deepseekMaxOutputs = {
|
||||
deepseek: 8000, // deepseek-chat default: 4K, max: 8K
|
||||
'deepseek-chat': 8000,
|
||||
'deepseek-reasoner': 64000, // default: 32K, max: 64K
|
||||
'deepseek-r1': 64000,
|
||||
'deepseek-v3': 8000,
|
||||
'deepseek.r1': 64000,
|
||||
};
|
||||
|
||||
export const maxOutputTokensMap = {
|
||||
[EModelEndpoint.anthropic]: anthropicMaxOutputs,
|
||||
[EModelEndpoint.azureOpenAI]: modelMaxOutputs,
|
||||
[EModelEndpoint.openAI]: { ...modelMaxOutputs, ...deepseekMaxOutputs },
|
||||
[EModelEndpoint.custom]: { ...modelMaxOutputs, ...deepseekMaxOutputs },
|
||||
};
|
||||
|
||||
/**
|
||||
* Finds the first matching pattern in the tokens map.
|
||||
* @param {string} modelName
|
||||
|
|
|
|||
152
packages/data-provider/specs/tokens.spec.ts
Normal file
152
packages/data-provider/specs/tokens.spec.ts
Normal file
|
|
@ -0,0 +1,152 @@
|
|||
import {
|
||||
findMatchingPattern,
|
||||
getModelMaxTokens,
|
||||
getModelMaxOutputTokens,
|
||||
matchModelName,
|
||||
maxTokensMap,
|
||||
} from '../src/tokens';
|
||||
import { EModelEndpoint } from '../src/schemas';
|
||||
|
||||
describe('Token Pattern Matching', () => {
|
||||
describe('findMatchingPattern', () => {
|
||||
const testMap: Record<string, number> = {
|
||||
'claude-': 100000,
|
||||
'claude-3': 200000,
|
||||
'claude-3-opus': 200000,
|
||||
'gpt-4': 8000,
|
||||
'gpt-4-turbo': 128000,
|
||||
};
|
||||
|
||||
it('should match exact model names', () => {
|
||||
expect(findMatchingPattern('claude-3-opus', testMap)).toBe('claude-3-opus');
|
||||
expect(findMatchingPattern('gpt-4-turbo', testMap)).toBe('gpt-4-turbo');
|
||||
});
|
||||
|
||||
it('should match more specific patterns first (reverse order)', () => {
|
||||
// claude-3-opus-20240229 should match 'claude-3-opus' not 'claude-3' or 'claude-'
|
||||
expect(findMatchingPattern('claude-3-opus-20240229', testMap)).toBe('claude-3-opus');
|
||||
});
|
||||
|
||||
it('should fall back to broader patterns when no specific match', () => {
|
||||
// claude-3-haiku should match 'claude-3' (not 'claude-3-opus')
|
||||
expect(findMatchingPattern('claude-3-haiku', testMap)).toBe('claude-3');
|
||||
});
|
||||
|
||||
it('should be case-insensitive', () => {
|
||||
expect(findMatchingPattern('Claude-3-Opus', testMap)).toBe('claude-3-opus');
|
||||
expect(findMatchingPattern('GPT-4-TURBO', testMap)).toBe('gpt-4-turbo');
|
||||
});
|
||||
|
||||
it('should return null for unmatched models', () => {
|
||||
expect(findMatchingPattern('unknown-model', testMap)).toBeNull();
|
||||
expect(findMatchingPattern('llama-2', testMap)).toBeNull();
|
||||
});
|
||||
|
||||
it('should NOT match when pattern appears in middle of model name (startsWith behavior)', () => {
|
||||
// This is the key fix: "my-claude-wrapper" should NOT match "claude-"
|
||||
expect(findMatchingPattern('my-claude-wrapper', testMap)).toBeNull();
|
||||
expect(findMatchingPattern('openai-gpt-4-proxy', testMap)).toBeNull();
|
||||
expect(findMatchingPattern('custom-claude-3-service', testMap)).toBeNull();
|
||||
});
|
||||
|
||||
it('should handle empty string model name', () => {
|
||||
expect(findMatchingPattern('', testMap)).toBeNull();
|
||||
});
|
||||
|
||||
it('should handle empty tokens map', () => {
|
||||
expect(findMatchingPattern('claude-3', {})).toBeNull();
|
||||
});
|
||||
});
|
||||
|
||||
describe('getModelMaxTokens', () => {
|
||||
it('should return exact match tokens', () => {
|
||||
expect(getModelMaxTokens('gpt-4o', EModelEndpoint.openAI)).toBe(127500);
|
||||
expect(getModelMaxTokens('claude-3-opus', EModelEndpoint.anthropic)).toBe(200000);
|
||||
});
|
||||
|
||||
it('should return pattern-matched tokens', () => {
|
||||
// claude-3-opus-20240229 should match claude-3-opus pattern
|
||||
expect(getModelMaxTokens('claude-3-opus-20240229', EModelEndpoint.anthropic)).toBe(200000);
|
||||
});
|
||||
|
||||
it('should return undefined for unknown models', () => {
|
||||
expect(getModelMaxTokens('completely-unknown-model', EModelEndpoint.openAI)).toBeUndefined();
|
||||
});
|
||||
|
||||
it('should fall back to openAI for unknown endpoints', () => {
|
||||
const result = getModelMaxTokens('gpt-4o', 'unknown-endpoint');
|
||||
expect(result).toBe(127500);
|
||||
});
|
||||
|
||||
it('should handle non-string input gracefully', () => {
|
||||
expect(getModelMaxTokens(null as unknown as string)).toBeUndefined();
|
||||
expect(getModelMaxTokens(undefined as unknown as string)).toBeUndefined();
|
||||
expect(getModelMaxTokens(123 as unknown as string)).toBeUndefined();
|
||||
});
|
||||
|
||||
it('should NOT match model names with pattern in middle', () => {
|
||||
// A model like "my-gpt-4-wrapper" should not match "gpt-4"
|
||||
expect(getModelMaxTokens('my-gpt-4-wrapper', EModelEndpoint.openAI)).toBeUndefined();
|
||||
});
|
||||
});
|
||||
|
||||
describe('getModelMaxOutputTokens', () => {
|
||||
it('should return exact match output tokens', () => {
|
||||
expect(getModelMaxOutputTokens('o1', EModelEndpoint.openAI)).toBe(32268);
|
||||
expect(getModelMaxOutputTokens('claude-3-opus', EModelEndpoint.anthropic)).toBe(4096);
|
||||
});
|
||||
|
||||
it('should return pattern-matched output tokens', () => {
|
||||
expect(getModelMaxOutputTokens('claude-3-opus-20240229', EModelEndpoint.anthropic)).toBe(
|
||||
4096,
|
||||
);
|
||||
});
|
||||
|
||||
it('should return system_default for unknown models (openAI endpoint)', () => {
|
||||
expect(getModelMaxOutputTokens('unknown-model', EModelEndpoint.openAI)).toBe(32000);
|
||||
});
|
||||
|
||||
it('should handle non-string input gracefully', () => {
|
||||
expect(getModelMaxOutputTokens(null as unknown as string)).toBeUndefined();
|
||||
expect(getModelMaxOutputTokens(undefined as unknown as string)).toBeUndefined();
|
||||
});
|
||||
});
|
||||
|
||||
describe('matchModelName', () => {
|
||||
it('should return exact match model name', () => {
|
||||
expect(matchModelName('gpt-4o', EModelEndpoint.openAI)).toBe('gpt-4o');
|
||||
});
|
||||
|
||||
it('should return pattern key for pattern matches', () => {
|
||||
expect(matchModelName('claude-3-opus-20240229', EModelEndpoint.anthropic)).toBe(
|
||||
'claude-3-opus',
|
||||
);
|
||||
});
|
||||
|
||||
it('should return input for unknown models', () => {
|
||||
expect(matchModelName('unknown-model', EModelEndpoint.openAI)).toBe('unknown-model');
|
||||
});
|
||||
|
||||
it('should handle non-string input gracefully', () => {
|
||||
expect(matchModelName(null as unknown as string)).toBeUndefined();
|
||||
});
|
||||
});
|
||||
|
||||
describe('maxTokensMap structure', () => {
|
||||
it('should have entries for all major endpoints', () => {
|
||||
expect(maxTokensMap[EModelEndpoint.openAI]).toBeDefined();
|
||||
expect(maxTokensMap[EModelEndpoint.anthropic]).toBeDefined();
|
||||
expect(maxTokensMap[EModelEndpoint.google]).toBeDefined();
|
||||
expect(maxTokensMap[EModelEndpoint.azureOpenAI]).toBeDefined();
|
||||
expect(maxTokensMap[EModelEndpoint.bedrock]).toBeDefined();
|
||||
});
|
||||
|
||||
it('should have positive token values', () => {
|
||||
Object.values(maxTokensMap).forEach((endpointMap) => {
|
||||
Object.entries(endpointMap).forEach(([model, tokens]) => {
|
||||
expect(tokens).toBeGreaterThan(0);
|
||||
});
|
||||
});
|
||||
});
|
||||
});
|
||||
});
|
||||
|
|
@ -47,3 +47,5 @@ export { default as createPayload } from './createPayload';
|
|||
/* feedback */
|
||||
export * from './feedback';
|
||||
export * from './parameterSettings';
|
||||
/* token limits */
|
||||
export * from './tokens';
|
||||
|
|
|
|||
|
|
@ -618,6 +618,7 @@ export type TMessage = z.input<typeof tMessageSchema> & {
|
|||
attachments?: TAttachment[];
|
||||
clientTimestamp?: string;
|
||||
feedback?: TFeedback;
|
||||
tokenCount?: number;
|
||||
};
|
||||
|
||||
export const coerceNumber = z.union([z.number(), z.string()]).transform((val) => {
|
||||
|
|
|
|||
527
packages/data-provider/src/tokens.ts
Normal file
527
packages/data-provider/src/tokens.ts
Normal file
|
|
@ -0,0 +1,527 @@
|
|||
import { EModelEndpoint } from './schemas';
|
||||
|
||||
/**
|
||||
* Model context window token limits.
|
||||
* These values represent the maximum context tokens (input) for each model.
|
||||
* Values are slightly reduced from actual max to leave room for output tokens.
|
||||
*/
|
||||
|
||||
const openAIModels: Record<string, number> = {
|
||||
'o4-mini': 200000,
|
||||
'o3-mini': 195000, // -5000 from max
|
||||
o3: 200000,
|
||||
o1: 195000, // -5000 from max
|
||||
'o1-mini': 127500, // -500 from max
|
||||
'o1-preview': 127500, // -500 from max
|
||||
'gpt-4': 8187, // -5 from max
|
||||
'gpt-4-0613': 8187, // -5 from max
|
||||
'gpt-4-32k': 32758, // -10 from max
|
||||
'gpt-4-32k-0314': 32758, // -10 from max
|
||||
'gpt-4-32k-0613': 32758, // -10 from max
|
||||
'gpt-4-1106': 127500, // -500 from max
|
||||
'gpt-4-0125': 127500, // -500 from max
|
||||
'gpt-4.5': 127500, // -500 from max
|
||||
'gpt-4.1': 1047576,
|
||||
'gpt-4.1-mini': 1047576,
|
||||
'gpt-4.1-nano': 1047576,
|
||||
'gpt-5': 400000,
|
||||
'gpt-5-mini': 400000,
|
||||
'gpt-5-nano': 400000,
|
||||
'gpt-5-pro': 400000,
|
||||
'gpt-4o': 127500, // -500 from max
|
||||
'gpt-4o-mini': 127500, // -500 from max
|
||||
'gpt-4o-2024-05-13': 127500, // -500 from max
|
||||
'gpt-4-turbo': 127500, // -500 from max
|
||||
'gpt-4-vision': 127500, // -500 from max
|
||||
'gpt-3.5-turbo': 16375, // -10 from max
|
||||
'gpt-3.5-turbo-0613': 4092, // -5 from max
|
||||
'gpt-3.5-turbo-0301': 4092, // -5 from max
|
||||
'gpt-3.5-turbo-16k': 16375, // -10 from max
|
||||
'gpt-3.5-turbo-16k-0613': 16375, // -10 from max
|
||||
'gpt-3.5-turbo-1106': 16375, // -10 from max
|
||||
'gpt-3.5-turbo-0125': 16375, // -10 from max
|
||||
};
|
||||
|
||||
const mistralModels: Record<string, number> = {
|
||||
'mistral-': 31990, // -10 from max
|
||||
'mistral-7b': 31990, // -10 from max
|
||||
'mistral-small': 31990, // -10 from max
|
||||
'mixtral-8x7b': 31990, // -10 from max
|
||||
'mixtral-8x22b': 65536,
|
||||
'mistral-large': 131000,
|
||||
'mistral-large-2402': 127500,
|
||||
'mistral-large-2407': 127500,
|
||||
'mistral-nemo': 131000,
|
||||
'pixtral-large': 131000,
|
||||
'mistral-saba': 32000,
|
||||
codestral: 256000,
|
||||
'ministral-8b': 131000,
|
||||
'ministral-3b': 131000,
|
||||
};
|
||||
|
||||
const cohereModels: Record<string, number> = {
|
||||
'command-light': 4086, // -10 from max
|
||||
'command-light-nightly': 8182, // -10 from max
|
||||
command: 4086, // -10 from max
|
||||
'command-nightly': 8182, // -10 from max
|
||||
'command-text': 4086, // -10 from max
|
||||
'command-r': 127500, // -500 from max
|
||||
'command-r-plus': 127500, // -500 from max
|
||||
};
|
||||
|
||||
const googleModels: Record<string, number> = {
|
||||
/* Max I/O is combined so we subtract the amount from max response tokens for actual total */
|
||||
gemma: 8196,
|
||||
'gemma-2': 32768,
|
||||
'gemma-3': 32768,
|
||||
'gemma-3-27b': 131072,
|
||||
gemini: 30720, // -2048 from max
|
||||
'gemini-pro-vision': 12288,
|
||||
'gemini-exp': 2000000,
|
||||
'gemini-3': 1000000, // 1M input tokens, 64k output tokens
|
||||
'gemini-2.5': 1000000, // 1M input tokens, 64k output tokens
|
||||
'gemini-2.5-pro': 1000000,
|
||||
'gemini-2.5-flash': 1000000,
|
||||
'gemini-2.5-flash-lite': 1000000,
|
||||
'gemini-2.0': 2000000,
|
||||
'gemini-2.0-flash': 1000000,
|
||||
'gemini-2.0-flash-lite': 1000000,
|
||||
'gemini-1.5': 1000000,
|
||||
'gemini-1.5-flash': 1000000,
|
||||
'gemini-1.5-flash-8b': 1000000,
|
||||
'text-bison-32k': 32758, // -10 from max
|
||||
'chat-bison-32k': 32758, // -10 from max
|
||||
'code-bison-32k': 32758, // -10 from max
|
||||
'codechat-bison-32k': 32758,
|
||||
/* Codey, -5 from max: 6144 */
|
||||
'code-': 6139,
|
||||
'codechat-': 6139,
|
||||
/* PaLM2, -5 from max: 8192 */
|
||||
'text-': 8187,
|
||||
'chat-': 8187,
|
||||
};
|
||||
|
||||
const anthropicModels: Record<string, number> = {
|
||||
'claude-': 100000,
|
||||
'claude-instant': 100000,
|
||||
'claude-2': 100000,
|
||||
'claude-2.1': 200000,
|
||||
'claude-3': 200000,
|
||||
'claude-3-haiku': 200000,
|
||||
'claude-3-sonnet': 200000,
|
||||
'claude-3-opus': 200000,
|
||||
'claude-3.5-haiku': 200000,
|
||||
'claude-3-5-haiku': 200000,
|
||||
'claude-3-5-sonnet': 200000,
|
||||
'claude-3.5-sonnet': 200000,
|
||||
'claude-3-7-sonnet': 200000,
|
||||
'claude-3.7-sonnet': 200000,
|
||||
'claude-3-5-sonnet-latest': 200000,
|
||||
'claude-3.5-sonnet-latest': 200000,
|
||||
'claude-haiku-4-5': 200000,
|
||||
'claude-sonnet-4': 1000000,
|
||||
'claude-4': 200000,
|
||||
'claude-opus-4': 200000,
|
||||
'claude-opus-4-5': 200000,
|
||||
};
|
||||
|
||||
const deepseekModels: Record<string, number> = {
|
||||
deepseek: 128000,
|
||||
'deepseek-chat': 128000,
|
||||
'deepseek-reasoner': 128000,
|
||||
'deepseek-r1': 128000,
|
||||
'deepseek-v3': 128000,
|
||||
'deepseek.r1': 128000,
|
||||
};
|
||||
|
||||
const metaModels: Record<string, number> = {
|
||||
// Basic patterns
|
||||
llama3: 8000,
|
||||
llama2: 4000,
|
||||
'llama-3': 8000,
|
||||
'llama-2': 4000,
|
||||
|
||||
// llama3.x pattern
|
||||
'llama3.1': 127500,
|
||||
'llama3.2': 127500,
|
||||
'llama3.3': 127500,
|
||||
|
||||
// llama3-x pattern
|
||||
'llama3-1': 127500,
|
||||
'llama3-2': 127500,
|
||||
'llama3-3': 127500,
|
||||
|
||||
// llama-3.x pattern
|
||||
'llama-3.1': 127500,
|
||||
'llama-3.2': 127500,
|
||||
'llama-3.3': 127500,
|
||||
|
||||
// llama3.x:Nb pattern
|
||||
'llama3.1:405b': 127500,
|
||||
'llama3.1:70b': 127500,
|
||||
'llama3.1:8b': 127500,
|
||||
'llama3.2:1b': 127500,
|
||||
'llama3.2:3b': 127500,
|
||||
'llama3.2:11b': 127500,
|
||||
'llama3.2:90b': 127500,
|
||||
'llama3.3:70b': 127500,
|
||||
|
||||
// llama3-x-Nb pattern
|
||||
'llama3-1-405b': 127500,
|
||||
'llama3-1-70b': 127500,
|
||||
'llama3-1-8b': 127500,
|
||||
'llama3-2-1b': 127500,
|
||||
'llama3-2-3b': 127500,
|
||||
'llama3-2-11b': 127500,
|
||||
'llama3-2-90b': 127500,
|
||||
'llama3-3-70b': 127500,
|
||||
|
||||
// llama-3.x-Nb pattern
|
||||
'llama-3.1-405b': 127500,
|
||||
'llama-3.1-70b': 127500,
|
||||
'llama-3.1-8b': 127500,
|
||||
'llama-3.2-1b': 127500,
|
||||
'llama-3.2-3b': 127500,
|
||||
'llama-3.2-11b': 127500,
|
||||
'llama-3.2-90b': 127500,
|
||||
'llama-3.3-70b': 127500,
|
||||
|
||||
// Original llama2/3 patterns
|
||||
'llama3-70b': 8000,
|
||||
'llama3-8b': 8000,
|
||||
'llama2-70b': 4000,
|
||||
'llama2-13b': 4000,
|
||||
'llama3:70b': 8000,
|
||||
'llama3:8b': 8000,
|
||||
'llama2:70b': 4000,
|
||||
};
|
||||
|
||||
const qwenModels: Record<string, number> = {
|
||||
qwen: 32000,
|
||||
'qwen2.5': 32000,
|
||||
'qwen-turbo': 1000000,
|
||||
'qwen-plus': 131000,
|
||||
'qwen-max': 32000,
|
||||
'qwq-32b': 32000,
|
||||
// Qwen3 models
|
||||
qwen3: 40960, // Qwen3 base pattern (using qwen3-4b context)
|
||||
'qwen3-8b': 128000,
|
||||
'qwen3-14b': 40960,
|
||||
'qwen3-30b-a3b': 40960,
|
||||
'qwen3-32b': 40960,
|
||||
'qwen3-235b-a22b': 40960,
|
||||
// Qwen3 VL (Vision-Language) models
|
||||
'qwen3-vl-8b-thinking': 256000,
|
||||
'qwen3-vl-8b-instruct': 262144,
|
||||
'qwen3-vl-30b-a3b': 262144,
|
||||
'qwen3-vl-235b-a22b': 131072,
|
||||
// Qwen3 specialized models
|
||||
'qwen3-max': 256000,
|
||||
'qwen3-coder': 262144,
|
||||
'qwen3-coder-30b-a3b': 262144,
|
||||
'qwen3-coder-plus': 128000,
|
||||
'qwen3-coder-flash': 128000,
|
||||
'qwen3-next-80b-a3b': 262144,
|
||||
};
|
||||
|
||||
const ai21Models: Record<string, number> = {
|
||||
'j2-mid': 8182, // -10 from max
|
||||
'j2-ultra': 8182, // -10 from max
|
||||
'jamba-instruct': 255500, // -500 from max
|
||||
};
|
||||
|
||||
const amazonModels: Record<string, number> = {
|
||||
// Amazon Titan models
|
||||
'titan-text-lite': 4000,
|
||||
'titan-text-express': 8000,
|
||||
'titan-text-premier': 31500, // -500 from max
|
||||
// Amazon Nova models
|
||||
// https://aws.amazon.com/ai/generative-ai/nova/
|
||||
'nova-micro': 127000, // -1000 from max
|
||||
'nova-lite': 295000, // -5000 from max
|
||||
'nova-pro': 295000, // -5000 from max
|
||||
'nova-premier': 995000, // -5000 from max
|
||||
};
|
||||
|
||||
const bedrockModels: Record<string, number> = {
|
||||
...anthropicModels,
|
||||
...mistralModels,
|
||||
...cohereModels,
|
||||
...deepseekModels,
|
||||
...metaModels,
|
||||
...ai21Models,
|
||||
...amazonModels,
|
||||
};
|
||||
|
||||
const xAIModels: Record<string, number> = {
|
||||
grok: 131072,
|
||||
'grok-beta': 131072,
|
||||
'grok-vision-beta': 8192,
|
||||
'grok-2': 131072,
|
||||
'grok-2-latest': 131072,
|
||||
'grok-2-1212': 131072,
|
||||
'grok-2-vision': 32768,
|
||||
'grok-2-vision-latest': 32768,
|
||||
'grok-2-vision-1212': 32768,
|
||||
'grok-3': 131072,
|
||||
'grok-3-fast': 131072,
|
||||
'grok-3-mini': 131072,
|
||||
'grok-3-mini-fast': 131072,
|
||||
'grok-4': 256000, // 256K context
|
||||
'grok-4-fast': 2000000, // 2M context
|
||||
'grok-4-1-fast': 2000000, // 2M context (covers reasoning & non-reasoning variants)
|
||||
'grok-code-fast': 256000, // 256K context
|
||||
};
|
||||
|
||||
const aggregateModels: Record<string, number> = {
|
||||
...openAIModels,
|
||||
...googleModels,
|
||||
...bedrockModels,
|
||||
...xAIModels,
|
||||
...qwenModels,
|
||||
// misc.
|
||||
kimi: 131000,
|
||||
// GPT-OSS
|
||||
'gpt-oss': 131000,
|
||||
'gpt-oss:20b': 131000,
|
||||
'gpt-oss-20b': 131000,
|
||||
'gpt-oss:120b': 131000,
|
||||
'gpt-oss-120b': 131000,
|
||||
// GLM models (Zhipu AI)
|
||||
glm4: 128000,
|
||||
'glm-4': 128000,
|
||||
'glm-4-32b': 128000,
|
||||
'glm-4.5': 131000,
|
||||
'glm-4.5-air': 131000,
|
||||
'glm-4.5v': 66000,
|
||||
'glm-4.6': 200000,
|
||||
};
|
||||
|
||||
/**
|
||||
* Map of endpoint to model context token limits.
|
||||
*/
|
||||
export const maxTokensMap: Record<string, Record<string, number>> = {
|
||||
[EModelEndpoint.azureOpenAI]: openAIModels,
|
||||
[EModelEndpoint.openAI]: aggregateModels,
|
||||
[EModelEndpoint.agents]: aggregateModels,
|
||||
[EModelEndpoint.custom]: aggregateModels,
|
||||
[EModelEndpoint.google]: googleModels,
|
||||
[EModelEndpoint.anthropic]: anthropicModels,
|
||||
[EModelEndpoint.bedrock]: bedrockModels,
|
||||
};
|
||||
|
||||
/**
|
||||
* Finds the first matching pattern in the tokens map.
|
||||
* Searches in reverse order to match more specific patterns first.
|
||||
*
|
||||
* Note: This relies on the insertion order of keys in the tokensMap object.
|
||||
* More specific patterns must be defined later in the object to be matched first.
|
||||
* If the order of keys is changed, the matching behavior may be affected.
|
||||
*/
|
||||
export function findMatchingPattern(
|
||||
modelName: string,
|
||||
tokensMap: Record<string, number>,
|
||||
): string | null {
|
||||
const keys = Object.keys(tokensMap);
|
||||
const lowerModelName = modelName.toLowerCase();
|
||||
for (let i = keys.length - 1; i >= 0; i--) {
|
||||
const modelKey = keys[i];
|
||||
if (lowerModelName.startsWith(modelKey)) {
|
||||
return modelKey;
|
||||
}
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
/**
|
||||
* Retrieves the maximum context tokens for a given model name.
|
||||
*
|
||||
* @param modelName - The name of the model to look up.
|
||||
* @param endpoint - The endpoint (default is 'openAI').
|
||||
* @returns The maximum context tokens for the given model or undefined if no match is found.
|
||||
*
|
||||
* @example
|
||||
* getModelMaxTokens('gpt-4o'); // Returns 127500
|
||||
* getModelMaxTokens('claude-3-opus', 'anthropic'); // Returns 200000
|
||||
* getModelMaxTokens('unknown-model'); // Returns undefined
|
||||
*/
|
||||
export function getModelMaxTokens(
|
||||
modelName: string,
|
||||
endpoint: string = EModelEndpoint.openAI,
|
||||
): number | undefined {
|
||||
if (typeof modelName !== 'string') {
|
||||
return undefined;
|
||||
}
|
||||
|
||||
const tokensMap = maxTokensMap[endpoint];
|
||||
if (!tokensMap) {
|
||||
// Fall back to aggregate models for unknown endpoints
|
||||
return getModelMaxTokens(modelName, EModelEndpoint.openAI);
|
||||
}
|
||||
|
||||
// Try exact match first
|
||||
if (tokensMap[modelName] !== undefined) {
|
||||
return tokensMap[modelName];
|
||||
}
|
||||
|
||||
// Try pattern matching
|
||||
const matchedPattern = findMatchingPattern(modelName, tokensMap);
|
||||
if (matchedPattern) {
|
||||
return tokensMap[matchedPattern];
|
||||
}
|
||||
|
||||
return undefined;
|
||||
}
|
||||
|
||||
/**
|
||||
* Retrieves the model name key for a given model name input.
|
||||
* If the exact model name isn't found, it searches for partial matches.
|
||||
*
|
||||
* @param modelName - The name of the model to look up.
|
||||
* @param endpoint - The endpoint (default is 'openAI').
|
||||
* @returns The model name key for the given model; returns input if no match is found.
|
||||
*/
|
||||
export function matchModelName(
|
||||
modelName: string,
|
||||
endpoint: string = EModelEndpoint.openAI,
|
||||
): string | undefined {
|
||||
if (typeof modelName !== 'string') {
|
||||
return undefined;
|
||||
}
|
||||
|
||||
const tokensMap = maxTokensMap[endpoint];
|
||||
if (!tokensMap) {
|
||||
return modelName;
|
||||
}
|
||||
|
||||
if (tokensMap[modelName] !== undefined) {
|
||||
return modelName;
|
||||
}
|
||||
|
||||
const matchedPattern = findMatchingPattern(modelName, tokensMap);
|
||||
return matchedPattern || modelName;
|
||||
}
|
||||
|
||||
// Individual model maps are available for advanced use cases
|
||||
// but not re-exported to avoid conflicts with config.ts
|
||||
|
||||
// =============================================================================
|
||||
// OUTPUT TOKEN LIMITS
|
||||
// =============================================================================
|
||||
|
||||
/**
|
||||
* Maximum output tokens for OpenAI and similar models.
|
||||
* Values from official documentation, slightly reduced to leave safety margin.
|
||||
*/
|
||||
const modelMaxOutputs: Record<string, number> = {
|
||||
o1: 32268, // -500 from max: 32,768
|
||||
'o1-mini': 65136, // -500 from max: 65,536
|
||||
'o1-preview': 32268, // -500 from max: 32,768
|
||||
'gpt-5': 128000,
|
||||
'gpt-5-mini': 128000,
|
||||
'gpt-5-nano': 128000,
|
||||
'gpt-5-pro': 128000,
|
||||
'gpt-oss-20b': 131000,
|
||||
'gpt-oss-120b': 131000,
|
||||
system_default: 32000,
|
||||
};
|
||||
|
||||
/**
|
||||
* Maximum output tokens for Anthropic Claude models.
|
||||
* Values from https://docs.anthropic.com/en/docs/about-claude/models/all-models#model-names
|
||||
*/
|
||||
const anthropicMaxOutputs: Record<string, number> = {
|
||||
'claude-3-haiku': 4096,
|
||||
'claude-3-sonnet': 4096,
|
||||
'claude-3-opus': 4096,
|
||||
'claude-haiku-4-5': 64000,
|
||||
'claude-sonnet-4': 64000,
|
||||
'claude-opus-4': 32000,
|
||||
'claude-opus-4-5': 64000,
|
||||
'claude-3.5-sonnet': 8192,
|
||||
'claude-3-5-sonnet': 8192,
|
||||
'claude-3.7-sonnet': 128000,
|
||||
'claude-3-7-sonnet': 128000,
|
||||
};
|
||||
|
||||
/**
|
||||
* Maximum output tokens for DeepSeek models.
|
||||
* Values from https://api-docs.deepseek.com/quick_start/pricing
|
||||
*/
|
||||
const deepseekMaxOutputs: Record<string, number> = {
|
||||
deepseek: 8000, // deepseek-chat default: 4K, max: 8K
|
||||
'deepseek-chat': 8000,
|
||||
'deepseek-reasoner': 64000, // default: 32K, max: 64K
|
||||
'deepseek-r1': 64000,
|
||||
'deepseek-v3': 8000,
|
||||
'deepseek.r1': 64000,
|
||||
};
|
||||
|
||||
/**
|
||||
* Map of endpoint to model max output token limits.
|
||||
*/
|
||||
export const maxOutputTokensMap: Record<string, Record<string, number>> = {
|
||||
[EModelEndpoint.anthropic]: anthropicMaxOutputs,
|
||||
[EModelEndpoint.azureOpenAI]: modelMaxOutputs,
|
||||
[EModelEndpoint.openAI]: { ...modelMaxOutputs, ...deepseekMaxOutputs },
|
||||
[EModelEndpoint.custom]: { ...modelMaxOutputs, ...deepseekMaxOutputs },
|
||||
};
|
||||
|
||||
/**
|
||||
* Retrieves the maximum output tokens for a given model name.
|
||||
*
|
||||
* @param modelName - The name of the model to look up.
|
||||
* @param endpoint - The endpoint (default is 'openAI').
|
||||
* @returns The maximum output tokens for the given model or undefined if no match is found.
|
||||
*
|
||||
* @example
|
||||
* getModelMaxOutputTokens('o1'); // Returns 32268
|
||||
* getModelMaxOutputTokens('claude-3-opus', 'anthropic'); // Returns 4096
|
||||
* getModelMaxOutputTokens('unknown-model'); // Returns 32000 (system_default)
|
||||
*/
|
||||
export function getModelMaxOutputTokens(
|
||||
modelName: string,
|
||||
endpoint: string = EModelEndpoint.openAI,
|
||||
): number | undefined {
|
||||
if (typeof modelName !== 'string') {
|
||||
return undefined;
|
||||
}
|
||||
|
||||
const tokensMap = maxOutputTokensMap[endpoint];
|
||||
if (!tokensMap) {
|
||||
// Fall back to openAI for unknown endpoints
|
||||
return getModelMaxOutputTokens(modelName, EModelEndpoint.openAI);
|
||||
}
|
||||
|
||||
// Try exact match first
|
||||
if (tokensMap[modelName] !== undefined) {
|
||||
return tokensMap[modelName];
|
||||
}
|
||||
|
||||
// Try pattern matching
|
||||
const matchedPattern = findMatchingPattern(modelName, tokensMap);
|
||||
if (matchedPattern) {
|
||||
return tokensMap[matchedPattern];
|
||||
}
|
||||
|
||||
// Return system_default if available
|
||||
return tokensMap.system_default;
|
||||
}
|
||||
|
||||
// =============================================================================
|
||||
// TOKEN DEFAULTS
|
||||
// =============================================================================
|
||||
|
||||
/**
|
||||
* Centralized token-related default values.
|
||||
*/
|
||||
export const TOKEN_DEFAULTS = {
|
||||
/** Fallback context window for agents when model lookup fails */
|
||||
AGENT_CONTEXT_FALLBACK: 18000,
|
||||
/** Legacy fallback for older clients */
|
||||
LEGACY_CONTEXT_FALLBACK: 4097,
|
||||
/** Safety margin multiplier (0.9 = reserve 10% for response) */
|
||||
CONTEXT_SAFETY_MARGIN: 0.9,
|
||||
/** Default max output tokens when not specified */
|
||||
DEFAULT_MAX_OUTPUT: 32000,
|
||||
} as const;
|
||||
Loading…
Add table
Add a link
Reference in a new issue