Merge fa833b3574 into bcca1d6d7d

packages/web/src/features/chat/agent.ts

@@ -42,7 +42,9 @@ export const createAgentStream = async ({
         searchScopeRepoNames,
     });
 
-    const stream = streamText({
+    let stream;
+    try {
+        stream = streamText({
             model,
             providerOptions,
             system: baseSystemPrompt,
@@ -56,51 +58,35 @@ export const createAgentStream = async ({
                 [toolNames.listAllRepos]: listAllReposTool,
             },
             prepareStep: async ({ stepNumber }) => {
-            // The first step attaches any mentioned sources to the system prompt.
                 if (stepNumber === 0 && inputSources.length > 0) {
                     const fileSources = inputSources.filter((source) => source.type === 'file');
-
                     const resolvedFileSources = (
                         await Promise.all(fileSources.map(resolveFileSource)))
                             .filter((source) => source !== undefined)
-
                     const fileSourcesSystemPrompt = await createFileSourcesSystemPrompt({
                         files: resolvedFileSources
                     });
-
                     return {
                         system: `${baseSystemPrompt}\n\n${fileSourcesSystemPrompt}`
                     }
                 }
-
                 if (stepNumber === env.SOURCEBOT_CHAT_MAX_STEP_COUNT - 1) {
                     return {
                         system: `**CRITICAL**: You have reached the maximum number of steps!! YOU MUST PROVIDE YOUR FINAL ANSWER NOW. DO NOT KEEP RESEARCHING.\n\n${answerInstructions}`,
                         activeTools: [],
                     }
                 }
-
                 return undefined;
             },
             temperature: env.SOURCEBOT_CHAT_MODEL_TEMPERATURE,
             stopWhen: [
                 stepCountIsGTE(env.SOURCEBOT_CHAT_MAX_STEP_COUNT),
             ],
-        toolChoice: "auto", // Let the model decide when to use tools
+            toolChoice: "auto",
             onStepFinish: ({ toolResults }) => {
-            // This takes care of extracting any sources that the LLM has seen as part of
-            // the tool calls it made.
                 toolResults.forEach(({ toolName, output, dynamic }) => {
-                // we don't care about dynamic tool results here.
-                if (dynamic) {
-                    return;
-                }
-
-                if (isServiceError(output)) {
-                    // is there something we want to do here?
-                    return;
-                }
-
+                    if (dynamic) return;
+                    if (isServiceError(output)) return;
                     if (toolName === toolNames.readFiles) {
                         output.forEach((file) => {
                             onWriteSource({
@@ -112,8 +98,7 @@ export const createAgentStream = async ({
                                 name: file.path.split('/').pop() ?? file.path,
                             })
                         })
-                }
-                else if (toolName === toolNames.searchCode) {
+                    } else if (toolName === toolNames.searchCode) {
                         output.files.forEach((file) => {
                             onWriteSource({
                                 type: 'file',
@@ -124,8 +109,7 @@ export const createAgentStream = async ({
                                 name: file.fileName.split('/').pop() ?? file.fileName,
                             })
                         })
-                }
-                else if (toolName === toolNames.findSymbolDefinitions || toolName === toolNames.findSymbolReferences) {
+                    } else if (toolName === toolNames.findSymbolDefinitions || toolName === toolNames.findSymbolReferences) {
                         output.forEach((file) => {
                             onWriteSource({
                                 type: 'file',
@@ -139,7 +123,6 @@ export const createAgentStream = async ({
                     }
                 })
             },
-        // Only enable langfuse traces in cloud environments.
             experimental_telemetry: {
                 isEnabled: clientEnv.NEXT_PUBLIC_SOURCEBOT_CLOUD_ENVIRONMENT !== undefined,
                 metadata: {
@@ -150,7 +133,12 @@ export const createAgentStream = async ({
                 logger.error(error);
             },
         });
-
+    } catch (err) {
+        if (model?.providerId === 'openai-compatible') {
+            throw new Error('The selected AI provider does not support codebase tool calls. Please use a provider that supports function/tool calls for codebase-related questions.');
+        }
+        throw err;
+    }
     return stream;
 }