mirror of
https://github.com/pacnpal/Roo-Code.git
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Add markdown rendering for model description; fixes
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@@ -7,7 +7,7 @@ import {
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VSCodeRadioGroup,
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VSCodeTextField,
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} from "@vscode/webview-ui-toolkit/react"
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import { memo, useCallback, useEffect, useMemo, useState } from "react"
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import { Fragment, memo, useCallback, useEffect, useMemo, useState } from "react"
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import { useEvent, useInterval } from "react-use"
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import {
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ApiConfiguration,
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@@ -31,7 +31,7 @@ import { ExtensionMessage } from "../../../../src/shared/ExtensionMessage"
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import { useExtensionState } from "../../context/ExtensionStateContext"
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import { vscode } from "../../utils/vscode"
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import VSCodeButtonLink from "../common/VSCodeButtonLink"
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import OpenRouterModelPicker from "./OpenRouterModelPicker"
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import OpenRouterModelPicker, { ModelDescriptionMarkdown } from "./OpenRouterModelPicker"
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interface ApiOptionsProps {
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showModelOptions: boolean
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@@ -440,7 +440,6 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage }: ApiOptionsProps) => {
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marginTop: 3,
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color: "var(--vscode-descriptionForeground)",
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}}>
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You can use any OpenAI compatible API with models that support tool use.{" "}
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<span style={{ color: "var(--vscode-errorForeground)" }}>
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(<span style={{ fontWeight: 500 }}>Note:</span> Claude Dev uses complex prompts and works
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best with Claude models. Less capable models may not work as expected.)
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@@ -504,12 +503,6 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage }: ApiOptionsProps) => {
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href="https://github.com/ollama/ollama/blob/main/README.md"
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style={{ display: "inline", fontSize: "inherit" }}>
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quickstart guide.
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</VSCodeLink>{" "}
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You can use any model that supports{" "}
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<VSCodeLink
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href="https://ollama.com/search?c=tools"
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style={{ display: "inline", fontSize: "inherit" }}>
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tool use.
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</VSCodeLink>
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<span style={{ color: "var(--vscode-errorForeground)" }}>
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(<span style={{ fontWeight: 500 }}>Note:</span> Claude Dev uses complex prompts and works
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@@ -570,80 +563,70 @@ export const formatPrice = (price: number) => {
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export const ModelInfoView = ({ selectedModelId, modelInfo }: { selectedModelId: string; modelInfo: ModelInfo }) => {
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const isGemini = Object.keys(geminiModels).includes(selectedModelId)
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const isO1 = selectedModelId && selectedModelId.includes("o1")
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const infoItems = [
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modelInfo.description && <ModelDescriptionMarkdown key="description" markdown={modelInfo.description} />,
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<ModelInfoSupportsItem
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key="supportsImages"
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isSupported={modelInfo.supportsImages ?? false}
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supportsLabel="Supports images"
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doesNotSupportLabel="Does not support images"
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/>,
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!isGemini && (
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<ModelInfoSupportsItem
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key="supportsPromptCache"
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isSupported={modelInfo.supportsPromptCache}
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supportsLabel="Supports prompt caching"
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doesNotSupportLabel="Does not support prompt caching"
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/>
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),
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modelInfo.maxTokens !== undefined && modelInfo.maxTokens > 0 && (
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<span key="maxTokens">
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<span style={{ fontWeight: 500 }}>Max output:</span> {modelInfo.maxTokens?.toLocaleString()} tokens
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</span>
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),
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modelInfo.inputPrice !== undefined && modelInfo.inputPrice > 0 && (
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<span key="inputPrice">
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<span style={{ fontWeight: 500 }}>Input price:</span> {formatPrice(modelInfo.inputPrice)}/million tokens
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</span>
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),
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modelInfo.supportsPromptCache && modelInfo.cacheWritesPrice && (
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<span key="cacheWritesPrice">
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<span style={{ fontWeight: 500 }}>Cache writes price:</span>{" "}
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{formatPrice(modelInfo.cacheWritesPrice || 0)}/million tokens
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</span>
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),
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modelInfo.supportsPromptCache && modelInfo.cacheReadsPrice && (
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<span key="cacheReadsPrice">
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<span style={{ fontWeight: 500 }}>Cache reads price:</span>{" "}
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{formatPrice(modelInfo.cacheReadsPrice || 0)}/million tokens
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</span>
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),
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modelInfo.outputPrice !== undefined && modelInfo.outputPrice > 0 && (
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<span key="outputPrice">
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<span style={{ fontWeight: 500 }}>Output price:</span> {formatPrice(modelInfo.outputPrice)}/million
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tokens
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</span>
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),
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isGemini && (
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<span key="geminiInfo" style={{ fontStyle: "italic" }}>
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* Free up to {selectedModelId && selectedModelId.includes("flash") ? "15" : "2"} requests per minute.
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After that, billing depends on prompt size.{" "}
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<VSCodeLink href="https://ai.google.dev/pricing" style={{ display: "inline", fontSize: "inherit" }}>
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For more info, see pricing details.
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</VSCodeLink>
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</span>
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),
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].filter(Boolean)
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return (
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<p style={{ fontSize: "12px", marginTop: "2px", color: "var(--vscode-descriptionForeground)" }}>
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<ModelInfoSupportsItem
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isSupported={modelInfo.supportsImages}
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supportsLabel="Supports images"
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doesNotSupportLabel="Does not support images"
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/>
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<br />
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{!isGemini && (
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<>
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<ModelInfoSupportsItem
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isSupported={modelInfo.supportsPromptCache}
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supportsLabel="Supports prompt caching"
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doesNotSupportLabel="Does not support prompt caching"
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/>
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<br />
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</>
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)}
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<span style={{ fontWeight: 500 }}>Max output:</span> {modelInfo?.maxTokens?.toLocaleString()} tokens
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{modelInfo.inputPrice > 0 && (
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<>
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<br />
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<span style={{ fontWeight: 500 }}>Input price:</span> {formatPrice(modelInfo.inputPrice)}/million
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tokens
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</>
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)}
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{modelInfo.supportsPromptCache && modelInfo.cacheWritesPrice && modelInfo.cacheReadsPrice && (
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<>
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<br />
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<span style={{ fontWeight: 500 }}>Cache writes price:</span>{" "}
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{formatPrice(modelInfo.cacheWritesPrice || 0)}/million tokens
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<br />
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<span style={{ fontWeight: 500 }}>Cache reads price:</span>{" "}
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{formatPrice(modelInfo.cacheReadsPrice || 0)}/million tokens
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</>
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)}
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{modelInfo.outputPrice > 0 && (
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<>
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<br />
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<span style={{ fontWeight: 500 }}>Output price:</span> {formatPrice(modelInfo.outputPrice)}/million
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tokens
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</>
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)}
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{isGemini && (
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<>
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<br />
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<span
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style={{
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fontStyle: "italic",
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}}>
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* Free up to {selectedModelId && selectedModelId.includes("flash") ? "15" : "2"} requests per
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minute. After that, billing depends on prompt size.{" "}
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<VSCodeLink
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href="https://ai.google.dev/pricing"
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style={{ display: "inline", fontSize: "inherit" }}>
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For more info, see pricing details.
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</VSCodeLink>
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</span>
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</>
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)}
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{isO1 && (
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<>
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<br />
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<span
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style={{
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fontStyle: "italic",
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color: "var(--vscode-errorForeground)",
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}}>
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* This model does not support tool use or system prompts, so Claude Dev uses structured output
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prompting to achieve similar results. Your mileage may vary.
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</span>
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</>
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)}
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{infoItems.map((item, index) => (
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<Fragment key={index}>
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{item}
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{index < infoItems.length - 1 && <br />}
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</Fragment>
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))}
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</p>
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)
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}
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