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feat: add prompt caching support for Groq provider #7321

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feat: add prompt caching support for Groq provider #7321

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34abaf0
feat: add prompt caching support for Groq provider
roomote Aug 22, 2025
593d9ed
feat: add comprehensive prompt caching support for Groq provider
roomote Aug 22, 2025
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1 change: 1 addition & 0 deletions packages/types/src/provider-settings.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -266,6 +266,7 @@ const xaiSchema = apiModelIdProviderModelSchema.extend({

const groqSchema = apiModelIdProviderModelSchema.extend({
groqApiKey: z.string().optional(),
groqUsePromptCache: z.boolean().optional(),

@ghost ghost Aug 22, 2025

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This new setting groqUsePromptCache would benefit from documentation. Consider adding a comment explaining what this does and its cost implications for users who might see this in the settings UI.

})

const huggingFaceSchema = baseProviderSettingsSchema.extend({
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33 changes: 22 additions & 11 deletions packages/types/src/providers/groq.ts
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Expand Up @@ -22,100 +22,111 @@ export const groqModels = {
maxTokens: 8192,
contextWindow: 131072,
supportsImages: false,
supportsPromptCache: false,
supportsPromptCache: true,
inputPrice: 0.05,
outputPrice: 0.08,
cacheReadsPrice: 0.01, // 80% discount on cached tokens

@ghost ghost Aug 22, 2025

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Is the pricing calculation correct? The comment says "80% discount on cached tokens" but the math appears to show 20% of the original price (which is indeed an 80% discount). The wording might be confusing - consider clarifying the comment to say "20% of original price (80% discount)" for clarity.

description: "Meta Llama 3.1 8B Instant model, 128K context.",
},
"llama-3.3-70b-versatile": {
maxTokens: 8192,
contextWindow: 131072,
supportsImages: false,
supportsPromptCache: false,
supportsPromptCache: true,
inputPrice: 0.59,
outputPrice: 0.79,
cacheReadsPrice: 0.118, // 80% discount on cached tokens
description: "Meta Llama 3.3 70B Versatile model, 128K context.",
},
"meta-llama/llama-4-scout-17b-16e-instruct": {
maxTokens: 8192,
contextWindow: 131072,
supportsImages: false,
supportsPromptCache: false,
supportsPromptCache: true,
inputPrice: 0.11,
outputPrice: 0.34,
cacheReadsPrice: 0.022, // 80% discount on cached tokens
description: "Meta Llama 4 Scout 17B Instruct model, 128K context.",
},
"meta-llama/llama-4-maverick-17b-128e-instruct": {
maxTokens: 8192,
contextWindow: 131072,
supportsImages: false,
supportsPromptCache: false,
supportsPromptCache: true,
inputPrice: 0.2,
outputPrice: 0.6,
cacheReadsPrice: 0.04, // 80% discount on cached tokens
description: "Meta Llama 4 Maverick 17B Instruct model, 128K context.",
},
"mistral-saba-24b": {
maxTokens: 8192,
contextWindow: 32768,
supportsImages: false,
supportsPromptCache: false,
supportsPromptCache: true,
inputPrice: 0.79,
outputPrice: 0.79,
cacheReadsPrice: 0.158, // 80% discount on cached tokens
description: "Mistral Saba 24B model, 32K context.",
},
"qwen-qwq-32b": {
maxTokens: 8192,
contextWindow: 131072,
supportsImages: false,
supportsPromptCache: false,
supportsPromptCache: true,
inputPrice: 0.29,
outputPrice: 0.39,
cacheReadsPrice: 0.058, // 80% discount on cached tokens
description: "Alibaba Qwen QwQ 32B model, 128K context.",
},
"qwen/qwen3-32b": {
maxTokens: 8192,
contextWindow: 131072,
supportsImages: false,
supportsPromptCache: false,
supportsPromptCache: true,
inputPrice: 0.29,
outputPrice: 0.59,
cacheReadsPrice: 0.058, // 80% discount on cached tokens
description: "Alibaba Qwen 3 32B model, 128K context.",
},
"deepseek-r1-distill-llama-70b": {
maxTokens: 8192,
contextWindow: 131072,
supportsImages: false,
supportsPromptCache: false,
supportsPromptCache: true,
inputPrice: 0.75,
outputPrice: 0.99,
cacheReadsPrice: 0.15, // 80% discount on cached tokens
description: "DeepSeek R1 Distill Llama 70B model, 128K context.",
},
"moonshotai/kimi-k2-instruct": {
maxTokens: 16384,
contextWindow: 131072,
supportsImages: false,
supportsPromptCache: false,
supportsPromptCache: true,
inputPrice: 1.0,
outputPrice: 3.0,
cacheReadsPrice: 0.2, // 80% discount on cached tokens
description: "Moonshot AI Kimi K2 Instruct 1T model, 128K context.",
},
"openai/gpt-oss-120b": {
maxTokens: 32766,
contextWindow: 131072,
supportsImages: false,
supportsPromptCache: false,
supportsPromptCache: true,
inputPrice: 0.15,
outputPrice: 0.75,
cacheReadsPrice: 0.03, // 80% discount on cached tokens
description:
"GPT-OSS 120B is OpenAI's flagship open source model, built on a Mixture-of-Experts (MoE) architecture with 20 billion parameters and 128 experts.",
},
"openai/gpt-oss-20b": {
maxTokens: 32768,
contextWindow: 131072,
supportsImages: false,
supportsPromptCache: false,
supportsPromptCache: true,
inputPrice: 0.1,
outputPrice: 0.5,
cacheReadsPrice: 0.02, // 80% discount on cached tokens
description:
"GPT-OSS 20B is OpenAI's flagship open source model, built on a Mixture-of-Experts (MoE) architecture with 20 billion parameters and 32 experts.",
},
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