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Temporarily revert default openrouter model until API is fixed

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This commit is contained in:
Saoud Rizwan 2025-02-24 11:14:32 -08:00
parent a2749782ff
commit 45b13dd775
1 changed files with 2 additions and 2 deletions
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4
src/shared/api.ts
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@ -205,7 +205,7 @@ export const bedrockModels = {
// OpenRouter
// https://openrouter.ai/models?order=newest&supported_parameters=tools
export const openRouterDefaultModelId = "anthropic/claude-3-7-sonnet" // will always exist in openRouterModels
export const openRouterDefaultModelId = "anthropic/claude-3.5-sonnet" // will always exist in openRouterModels
export const openRouterDefaultModelInfo: ModelInfo = {
maxTokens: 8192,
contextWindow: 200_000,
@ -217,7 +217,7 @@ export const openRouterDefaultModelInfo: ModelInfo = {
cacheWritesPrice: 3.75,
cacheReadsPrice: 0.3,
description:
"Claude 3.7 Sonnet is an advanced large language model with improved reasoning, coding, and problem-solving capabilities. It introduces a hybrid reasoning approach, allowing users to choose between rapid responses and extended, step-by-step processing for complex tasks. The model demonstrates notable improvements in coding, particularly in front-end development and full-stack updates, and excels in agentic workflows, where it can autonomously navigate multi-step processes. \n\nClaude 3.7 Sonnet maintains performance parity with its predecessor in standard mode while offering an extended reasoning mode for enhanced accuracy in math, coding, and instruction-following tasks.\n\nRead more at the [blog post here](https://www.anthropic.com/news/claude-3-7-sonnet)",
"The new Claude 3.5 Sonnet delivers better-than-Opus capabilities, faster-than-Sonnet speeds, at the same Sonnet prices. Sonnet is particularly good at:\n\n- Coding: New Sonnet scores ~49% on SWE-Bench Verified, higher than the last best score, and without any fancy prompt scaffolding\n- Data science: Augments human data science expertise; navigates unstructured data while using multiple tools for insights\n- Visual processing: excelling at interpreting charts, graphs, and images, accurately transcribing text to derive insights beyond just the text alone\n- Agentic tasks: exceptional tool use, making it great at agentic tasks (i.e. complex, multi-step problem solving tasks that require engaging with other systems)\n\n#multimodal",
}
// Vertex AI