- Extract and display reasoning tokens from both Chat Completions and Responses APIs
- Add smart preflight detection to check reasoning support per model/API (cached per agent)
- Support both reasoning_text (o1/o3) and summary_text (gpt-5) formats
- Display reasoning tokens with ⚡ symbol in console and TUI renderers
- Only send reasoning parameters to models that support them
- Fix event type from "thinking" to "reasoning" for consistency
Note: Chat Completions API only returns reasoning token counts, not content (by design).
Only Responses API exposes actual thinking/reasoning events.
177 lines
5.1 KiB
TypeScript
177 lines
5.1 KiB
TypeScript
import chalk from "chalk";
|
|
import type { AgentEvent, AgentEventReceiver } from "../agent.js";
|
|
|
|
export class ConsoleRenderer implements AgentEventReceiver {
|
|
private frames = ["⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"];
|
|
private currentFrame = 0;
|
|
private animationInterval: NodeJS.Timeout | null = null;
|
|
private isAnimating = false;
|
|
private animationLine = "";
|
|
private isTTY = process.stdout.isTTY;
|
|
private toolCallCount = 0;
|
|
private lastInputTokens = 0;
|
|
private lastOutputTokens = 0;
|
|
private lastCacheReadTokens = 0;
|
|
private lastCacheWriteTokens = 0;
|
|
private lastReasoningTokens = 0;
|
|
|
|
private startAnimation(text: string = "Thinking"): void {
|
|
if (this.isAnimating || !this.isTTY) return;
|
|
this.isAnimating = true;
|
|
this.currentFrame = 0;
|
|
|
|
// Write initial frame
|
|
this.animationLine = `${chalk.cyan(this.frames[this.currentFrame])} ${chalk.dim(text)}`;
|
|
process.stdout.write(this.animationLine);
|
|
|
|
this.animationInterval = setInterval(() => {
|
|
// Clear current line
|
|
process.stdout.write(`\r${" ".repeat(this.animationLine.length)}\r`);
|
|
|
|
// Update frame
|
|
this.currentFrame = (this.currentFrame + 1) % this.frames.length;
|
|
this.animationLine = `${chalk.cyan(this.frames[this.currentFrame])} ${chalk.dim(text)}`;
|
|
process.stdout.write(this.animationLine);
|
|
}, 80);
|
|
}
|
|
|
|
private stopAnimation(): void {
|
|
if (!this.isAnimating) return;
|
|
|
|
if (this.animationInterval) {
|
|
clearInterval(this.animationInterval);
|
|
this.animationInterval = null;
|
|
}
|
|
|
|
// Clear the animation line
|
|
process.stdout.write(`\r${" ".repeat(this.animationLine.length)}\r`);
|
|
this.isAnimating = false;
|
|
this.animationLine = "";
|
|
}
|
|
|
|
private displayMetrics(): void {
|
|
// Build metrics display
|
|
let metricsText = chalk.dim(
|
|
`↑${this.lastInputTokens.toLocaleString()} ↓${this.lastOutputTokens.toLocaleString()}`,
|
|
);
|
|
|
|
// Add reasoning tokens if present
|
|
if (this.lastReasoningTokens > 0) {
|
|
metricsText += chalk.dim(` ⚡${this.lastReasoningTokens.toLocaleString()}`);
|
|
}
|
|
|
|
// Add cache info if available
|
|
if (this.lastCacheReadTokens > 0 || this.lastCacheWriteTokens > 0) {
|
|
const cacheText: string[] = [];
|
|
if (this.lastCacheReadTokens > 0) {
|
|
cacheText.push(`⟲${this.lastCacheReadTokens.toLocaleString()}`);
|
|
}
|
|
if (this.lastCacheWriteTokens > 0) {
|
|
cacheText.push(`⟳${this.lastCacheWriteTokens.toLocaleString()}`);
|
|
}
|
|
metricsText += chalk.dim(` (${cacheText.join(" ")})`);
|
|
}
|
|
|
|
// Add tool call count
|
|
if (this.toolCallCount > 0) {
|
|
metricsText += chalk.dim(` ⚒ ${this.toolCallCount}`);
|
|
}
|
|
|
|
console.log(metricsText);
|
|
console.log();
|
|
}
|
|
|
|
async on(event: AgentEvent): Promise<void> {
|
|
// Stop animation for any new event except token_usage
|
|
if (event.type !== "token_usage" && this.isAnimating) {
|
|
this.stopAnimation();
|
|
}
|
|
|
|
switch (event.type) {
|
|
case "session_start":
|
|
console.log(
|
|
chalk.blue(
|
|
`[Session started] ID: ${event.sessionId}, Model: ${event.model}, API: ${event.api}, Base URL: ${event.baseURL}`,
|
|
),
|
|
);
|
|
console.log(chalk.dim(`System Prompt: ${event.systemPrompt}\n`));
|
|
break;
|
|
|
|
case "assistant_start":
|
|
console.log(chalk.hex("#FFA500")("[assistant]"));
|
|
this.startAnimation();
|
|
break;
|
|
|
|
case "reasoning":
|
|
this.stopAnimation();
|
|
console.log(chalk.dim("[thinking]"));
|
|
console.log(chalk.dim(event.text));
|
|
console.log();
|
|
// Resume animation after showing thinking
|
|
this.startAnimation("Processing");
|
|
break;
|
|
|
|
case "tool_call":
|
|
this.stopAnimation();
|
|
this.toolCallCount++;
|
|
console.log(chalk.yellow(`[tool] ${event.name}(${event.args})`));
|
|
// Resume animation while tool executes
|
|
this.startAnimation(`Running ${event.name}`);
|
|
break;
|
|
|
|
case "tool_result": {
|
|
this.stopAnimation();
|
|
const lines = event.result.split("\n");
|
|
const maxLines = 10;
|
|
const truncated = lines.length > maxLines;
|
|
const toShow = truncated ? lines.slice(0, maxLines) : lines;
|
|
|
|
const text = toShow.join("\n");
|
|
console.log(event.isError ? chalk.red(text) : chalk.gray(text));
|
|
|
|
if (truncated) {
|
|
console.log(chalk.dim(`... (${lines.length - maxLines} more lines)`));
|
|
}
|
|
console.log();
|
|
// Resume animation after tool result
|
|
this.startAnimation("Thinking");
|
|
break;
|
|
}
|
|
|
|
case "assistant_message":
|
|
this.stopAnimation();
|
|
console.log(event.text);
|
|
console.log();
|
|
// Display metrics after assistant message
|
|
this.displayMetrics();
|
|
break;
|
|
|
|
case "error":
|
|
this.stopAnimation();
|
|
console.error(chalk.red(`[error] ${event.message}\n`));
|
|
break;
|
|
|
|
case "user_message":
|
|
console.log(chalk.green("[user]"));
|
|
console.log(event.text);
|
|
console.log();
|
|
break;
|
|
|
|
case "interrupted":
|
|
this.stopAnimation();
|
|
console.log(chalk.red("[Interrupted by user]\n"));
|
|
break;
|
|
|
|
case "token_usage":
|
|
// Store token usage for display after assistant message
|
|
this.lastInputTokens = event.inputTokens;
|
|
this.lastOutputTokens = event.outputTokens;
|
|
this.lastCacheReadTokens = event.cacheReadTokens;
|
|
this.lastCacheWriteTokens = event.cacheWriteTokens;
|
|
this.lastReasoningTokens = event.reasoningTokens;
|
|
// Don't stop animation for this event
|
|
break;
|
|
}
|
|
}
|
|
}
|