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🌍 i18n: Update translation.json with latest translations (#11672)

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* 🌍 i18n: Update translation.json with latest translations

* Update reasoning description for Claude models

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Co-authored-by: Danny Avila <danny@librechat.ai>
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client/src/locales/en/translation.json
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@ -228,7 +228,7 @@
"com_endpoint_anthropic_maxoutputtokens": "Maximum number of tokens that can be generated in the response. Specify a lower value for shorter responses and a higher value for longer responses. Note: models may stop before reaching this maximum.",
"com_endpoint_anthropic_prompt_cache": "Prompt caching allows reusing large context or instructions across API calls, reducing costs and latency",
"com_endpoint_anthropic_temp": "Ranges from 0 to 1. Use temp closer to 0 for analytical / multiple choice, and closer to 1 for creative and generative tasks. We recommend altering this or Top P but not both.",
"com_endpoint_anthropic_thinking": "Enables internal reasoning for supported Claude models. For Opus 4.6, uses adaptive thinking controlled by the Effort parameter. For other models, requires \"Thinking Budget\" to be set and lower than \"Max Output Tokens\".",
"com_endpoint_anthropic_thinking": "Enables internal reasoning for supported Claude models. For newer models (Opus 4.6+), uses adaptive thinking controlled by the Effort parameter. For legacy models, requires \"Thinking Budget\" to be set and lower than \"Max Output Tokens\".",
"com_endpoint_anthropic_thinking_budget": "Determines the max number of tokens Claude is allowed use for its internal reasoning process. Larger budgets can improve response quality by enabling more thorough analysis for complex problems, although Claude may not use the entire budget allocated, especially at ranges above 32K. This setting must be lower than \"Max Output Tokens.\"",
"com_endpoint_anthropic_topk": "Top-k changes how the model selects tokens for output. A top-k of 1 means the selected token is the most probable among all tokens in the model's vocabulary (also called greedy decoding), while a top-k of 3 means that the next token is selected from among the 3 most probable tokens (using temperature).",
"com_endpoint_anthropic_topp": "Top-p changes how the model selects tokens for output. Tokens are selected from most K (see topK parameter) probable to least until the sum of their probabilities equals the top-p value.",