Merge pull request #35 from jcommaret/mistral-new-models

new models and capabilites

Author: Pterjudin

src/vs/workbench/contrib/cortexide/common/modelCapabilities.ts

@@ -250,18 +250,19 @@ export const defaultModelsOfProvider = {
 		// NOTE: Keep this list in sync with Mistral's current models.
 		// Reference: https://docs.mistral.ai/getting-started/models/ (checked 2025-11-30)
 		// Latest general models:
-		'mistral-medium-3.1', // Premier: Frontier-class multimodal model (Aug 2025)
-		'mistral-small-3.2', // Open: Update to previous small model (June 2025)
+		'mistral-large-latest',
+		'mistral-medium-latest', // Premier: Frontier-class multimodal model (Aug 2025)
+		'mistral-small-latest', // Open: Update to previous small model (June 2025)
 		// Reasoning models:
-		'magistral-medium-1.2', // Premier: Frontier-class multimodal reasoning model (Sept 2025)
-		'magistral-small-1.2', // Open: Small multimodal reasoning model (Sept 2025)
+		'magistral-medium-latest', // Premier: Frontier-class multimodal reasoning model (Sept 2025)
+		'magistral-small-latest', // Open: Small multimodal reasoning model (Sept 2025)
 		// Edge models:
 		'ministral-8b', // Premier: Powerful edge model with high performance/price ratio
 		'ministral-3b', // Premier: World's best edge model
 		// Code models:
 		'codestral-latest', // Premier: Cutting-edge language model for coding (July 2025)
-		'devstral-medium-1.0', // Premier: Enterprise-grade text model for SWE use cases (July 2025)
-		'devstral-small-1.1', // Open: Open source model that excels at SWE use cases (July 2025)
+		'devstral-medium-latest',// Premier: Enterprise-grade text model for SWE use cases (July 2025)
+		'devstral-small-latest', // Open: Open source model that excels at SWE use cases (July 2025)
 		// Audio models:
 		'voxtral-mini-transcribe', // Premier: Efficient audio input model for transcription (July 2025)
 		'voxtral-mini', // Open: Mini version of first audio input model (July 2025)
@@ -1357,7 +1358,7 @@ const mistralModelOptions = { // https://mistral.ai/products/la-plateforme#prici
 		contextWindow: 131_000,
 		reservedOutputTokenSpace: 8_192,
 		cost: { input: 2.00, output: 6.00 },
-		supportsFIM: false,
+		supportsFIM: true,
 		downloadable: { sizeGb: 73 },
 		supportsSystemMessage: 'system-role',
 		reasoningCapabilities: false,
@@ -1366,7 +1367,7 @@ const mistralModelOptions = { // https://mistral.ai/products/la-plateforme#prici
 		contextWindow: 131_000,
 		reservedOutputTokenSpace: 8_192,
 		cost: { input: 0.40, output: 2.00 },
-		supportsFIM: false,
+		supportsFIM: true,
 		downloadable: { sizeGb: 'not-known' },
 		supportsSystemMessage: 'system-role',
 		reasoningCapabilities: false,

src/vs/workbench/contrib/cortexide/electron-main/llmMessage/sendLLMMessage.impl.ts

@@ -280,14 +280,14 @@ const newOpenAICompatibleSDK = async ({ settingsOfProvider, providerName, includ
 	}
 	else if (providerName === 'awsBedrock') {
 		/**
-		  * We treat Bedrock as *OpenAI-compatible only through a proxy*:
-		  *   • LiteLLM default → http://localhost:4000/v1
-		  *   • Bedrock-Access-Gateway → https://<api-id>.execute-api.<region>.amazonaws.com/openai/
-		  *
-		  * The native Bedrock runtime endpoint
-		  *   https://bedrock-runtime.<region>.amazonaws.com
-		  * is **NOT** OpenAI-compatible, so we do *not* fall back to it here.
-		  */
+			* We treat Bedrock as *OpenAI-compatible only through a proxy*:
+			*   • LiteLLM default → http://localhost:4000/v1
+			*   • Bedrock-Access-Gateway → https://<api-id>.execute-api.<region>.amazonaws.com/openai/
+			*
+			* The native Bedrock runtime endpoint
+			*   https://bedrock-runtime.<region>.amazonaws.com
+			* is **NOT** OpenAI-compatible, so we do *not* fall back to it here.
+			*/
 		const { endpoint, apiKey } = settingsOfProvider.awsBedrock
 
 		// ① use the user-supplied proxy if present
@@ -660,7 +660,26 @@ const _sendOpenAICompatibleChat = async ({ messages, onText, onFinalMessage, onE
 
 				// message
 				const newText = chunk.choices[0]?.delta?.content ?? ''
-				fullTextSoFar += newText
+
+				// Handle Mistral's object content
+				if (providerName === 'mistral' && typeof newText === 'object' && newText !== null) {
+					// Parse Mistral's content object
+					if (Array.isArray(newText)) {
+						for (const item of newText as any[]) {
+							if (item.type === 'text' && item.text) {
+								fullTextSoFar += item.text
+							} else if (item.type === 'thinking' && item.thinking) {
+								for (const thinkingItem of item.thinking as any[]) {
+									if (thinkingItem.type === 'text' && thinkingItem.text) {
+										fullReasoningSoFar += thinkingItem.text
+									}
+								}
+							}
+						}
+					}
+				} else {
+					fullTextSoFar += newText
+				}
 
 				// tool call
 				for (const tool of chunk.choices[0]?.delta?.tool_calls ?? []) {