Add pricing structure for token usage in CLI and enhance token handling in ModelDialog. Implement cost breakdown per model based on input, cached, and output tokens, and ensure proper initialization of token counts in usage handling.

cli2.js

@@ -16,16 +16,77 @@ modelDialog.on('reasoningUpdate', (output) => {
     //console.log(chalk.blue('reasoning event'),output);
 });
 
-
-
+// $ / 1million tokens
+const price = {
+    'gpt-5-2025-08-07': {
+        input: 1.25,
+        cached: 0.125,
+        output: 10
+    },    
+    'gpt-5-mini-2025-08-07': {
+        input: 0.25,
+        cached: 0.025,
+        output: 2
+    },
+    'gpt-5-nano-2025-08-07': {
+        input: 0.05,
+        cached: 0.005,
+        output: 0.4
+    },
+    'gpt-4.1-2025-04-14': {
+        input: 2,
+        cached: 0.5,
+        output: 8
+    },
+    'gpt-4.1-mini-2025-04-14': {
+        input: 0.4,
+        cached: 0.1,
+        output: 1.6
+    },
+};
 
 
 (async ()=>{
     //const output = await modelDialog.interrogate('Can you remember "seven" ?');
     //console.log(output.output,JSON.stringify(output.reasoning,null,2));
     //const output2 = await modelDialog.interrogate('read a file that is what you remebered plus 1 as a word with txt ending, check that file.');
-    const output2 = await modelDialog.interrogate('schaue welche Dateien du findet und wenn du webseiten findest, invertiere die farben in ihnen.');
+    const output2 = await modelDialog.interrogate('Hi, use the list files tools and the read files tool on /readme.txt in same variations to test it. use the tools in parallel.');
     console.log('final output:',output2.output);
     console.log('reasoning:',output2.reasoning);
-    console.log('Tokens:',output2.inputTokens,output2.cachedTokens,output2.outputTokens);
+    //Ti: { 'gpt-5-2025-08-07': 3019 } Tc: { 'gpt-5-2025-08-07': 0 } To: { 'gpt-5-2025-08-07': 751 }
+    console.log('Ti:',output2.inputTokens,'Tc:',output2.cachedTokens,'To:',output2.outputTokens);
+    // cost breakdown per model and totals (prices are per 1M tokens)
+    const perMillion = 1_000_000;
+    const models = new Set([
+        ...Object.keys(output2.inputTokens || {}),
+        ...Object.keys(output2.cachedTokens || {}),
+        ...Object.keys(output2.outputTokens || {})
+    ]);
+
+    let grandTotal = 0;
+    for (const model of models) {
+        const inputT = (output2.inputTokens || {})[model];
+        const cachedT = (output2.cachedTokens || {})[model];
+        const outputT = (output2.outputTokens || {})[model];
+
+        const p = price[model];
+        const inputCost = (typeof inputT === 'number' && p) ? (inputT / perMillion) * p.input : undefined;
+        const cachedCost = (typeof cachedT === 'number' && p) ? (cachedT / perMillion) * p.cached : undefined;
+        const outputCost = (typeof outputT === 'number' && p) ? (outputT / perMillion) * p.output : undefined;
+
+        const subtotal = [inputCost, cachedCost, outputCost].every(v => typeof v === 'number')
+            ? (inputCost + cachedCost + outputCost)
+            : undefined;
+
+        if (typeof subtotal === 'number') grandTotal += subtotal;
+
+        console.log('cost for', model, {
+            inputCost: parseFloat(inputCost.toFixed(6)),
+            cachedCost: parseFloat(cachedCost.toFixed(6)),
+            outputCost: parseFloat(outputCost.toFixed(6)),
+            subtotal: parseFloat(subtotal.toFixed(4))
+        });
+    }
+
+    //console.log('total cost:', grandTotal);
 })()

modelDialog.js

@@ -56,9 +56,12 @@ class ModelDialog {
     };
 
     handleUsage = (usage, model) => {
-        this.inputTokens[model] = usage.input_tokens-usage.input_tokens_details.cached_tokens;
-        this.outputTokens[model] = usage.output_tokens;
-        this.cachedTokens[model] = usage.input_tokens_details.cached_tokens;
+        if (typeof this.inputTokens[model] !== 'number') this.inputTokens[model] = 0;
+        if (typeof this.outputTokens[model] !== 'number') this.outputTokens[model] = 0;
+        if (typeof this.cachedTokens[model] !== 'number') this.cachedTokens[model] = 0;
+        this.inputTokens[model] += usage.input_tokens - usage.input_tokens_details.cached_tokens;
+        this.outputTokens[model] += usage.output_tokens;
+        this.cachedTokens[model] += usage.input_tokens_details.cached_tokens;
     }
 
     on = (event, callback) => {
@@ -85,17 +88,26 @@ class ModelDialog {
 
         do{
             const messagesToSend = this.messages.splice(0);
+            console.log(chalk.blue('sending messages:'),messagesToSend.length);
+            //console.log(chalk.blue('messages:'),JSON.stringify(messagesToSend,null,2));
             this.messagesSent.push(...messagesToSend);
 
+            const model = 'gpt-5-mini';
+
             const call = {
-                model: 'gpt-5',
+                model: model,
                 input: messagesToSend,
-                text: { format: { type: 'text' }, verbosity: 'low' },
-                reasoning: { effort: 'low', summary: 'detailed' },
+                text: { format: { type: 'text' } },
                 tools: Object.values(toolsByFile).map(t => t.def),
                 store: true,
-                previous_response_id: this.previousResponseId
+                previous_response_id: this.previousResponseId,
+                parallel_tool_calls: true
             }
+            if(model.startsWith('gpt-5')){
+                call.reasoning = { effort: 'low', summary: 'detailed' };
+                //call.text.format.verbosity = 'low';
+            }
+            
 
             this.currentStream = openai.responses.stream(call);
             this.currentStream.on('response.created', (event) => {
@@ -127,6 +139,7 @@ class ModelDialog {
 
 
             this.currentStream.on('response.completed', async (event) => {
+                //console.log(chalk.blue('response completed:'),event.response.usage);
                 this.handleUsage(event.response.usage, event.response.model);
                 outputs.push(...event.response.output);
 

tools/list_files.js

@@ -103,24 +103,24 @@ export default {
     type: "object",
     properties: {
       path: {
-        type: "string",
+        type: ["string", "null"],
         description: "Directory or file path relative to the root. Use '/' for the root. Defaults to root if not specified.",
       },
       depth: {
-        type: "integer",
+        type: ["integer", "null"],
         description: "Maximum subdirectory levels to traverse. Use -1 for unlimited depth. Defaults to 1.",
         minimum: -1,
       },
       includeHidden: {
-        type: "boolean",
+        type: ["boolean", "null"],
         description: "Whether to include hidden files and directories (starting with '.'). Defaults to false.",
         default: false,
       }
     },
-    required: ["path", "depth", "includeHidden"],
+    required: [],
     additionalProperties: false,
   },
-  strict: true,
+  strict: false,
 };
 
 export async function run(args) {
@@ -159,7 +159,10 @@ export async function run(args) {
     return { err: `Path does not exist${inputPath ? `: ${inputPath}` : ""}` };
   }
 
-  const cwd = path.relative(chrootResolved, stat.isFile() ? path.dirname(resolvedBase) : resolvedBase) || ".";
+  const cwd = toDisplayPath(
+    stat.isFile() ? path.dirname(resolvedBase) : resolvedBase,
+    chrootResolved
+  );
 
   // Handle single file case
   if (stat.isFile()) {

tools/read_file.js

@@ -8,12 +8,12 @@ const virtual_chroot = '/workspaces/aiTools/root';
 // Ensures reads are confined to `virtual_chroot`.
 
 export default {
-    type: "function", name: "read_file", description: "read a file", strict: true,
+    type: "function", name: "read_file", description: "read a file", strict: false,
     parameters: {
-        type: "object", required: ["path","linesToSkip","linesToRead"], additionalProperties: false, properties: {
+        type: "object", required: ["path"], additionalProperties: false, properties: {
             path: { type: "string", description: "The path to the file to read.", },
-            linesToSkip: { type: "integer", description: "The number of lines to skip. Use 0 to read from the beginning.", minimum: 0 },
-            linesToRead: { type: "integer", description: "1-400 The number of lines to read.", minimum: 1, maximum: 400 }
+            linesToSkip: { type: ["integer", "null"], description: "The number of lines to skip. Use 0 to read from the beginning, which is the default.", minimum: 0 },
+            linesToRead: { type: ["integer", "null"], description: "1-400 The number of lines to read. 400 is the default.", minimum: 1, maximum: 400 }
         }
     }
 };