feat(ai): add Together AI provider
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@@ -15,6 +15,7 @@ import type { AssistantMessage } from "../types.js";
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* - xAI: "This model's maximum prompt length is 131072 but the request contains 537812 tokens"
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* - Groq: "Please reduce the length of the messages or completion"
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* - OpenRouter: "This endpoint's maximum context length is X tokens. However, you requested about Y tokens"
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* - Together AI: "The input (X tokens) is longer than the model's context length (Y tokens)."
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* - llama.cpp: "the request exceeds the available context size, try increasing it"
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* - LM Studio: "tokens to keep from the initial prompt is greater than the context length"
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* - GitHub Copilot: "prompt token count of X exceeds the limit of Y"
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@@ -37,6 +38,7 @@ const OVERFLOW_PATTERNS = [
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/maximum prompt length is \d+/i, // xAI (Grok)
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/reduce the length of the messages/i, // Groq
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/maximum context length is \d+ tokens/i, // OpenRouter (all backends)
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/input \(\d+ tokens\) is longer than the model'?s context length \(\d+ tokens\)/i, // Together AI
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/exceeds the limit of \d+/i, // GitHub Copilot
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/exceeds the available context size/i, // llama.cpp server
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/greater than the context length/i, // LM Studio
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@@ -86,6 +88,7 @@ const NON_OVERFLOW_PATTERNS = [
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* - Cerebras: 400/413 status code (no body)
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* - Mistral: "Prompt contains X tokens ... too large for model with Y maximum context length"
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* - OpenRouter (all backends): "maximum context length is X tokens"
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* - Together AI: "The input (X tokens) is longer than the model's context length (Y tokens)."
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* - llama.cpp: "exceeds the available context size"
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* - LM Studio: "greater than the context length"
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* - Kimi For Coding: "exceeded model token limit: X (requested: Y)"
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