Method getContextStatus

src/main/java/com/tcode/agent/Agent.java:378–426

()

    }

    public String getContextStatus() {
        com.tcode.context.ContextProfile profile = memoryManager.getContextProfile();
        int window = profile.maxContextWindow();
        int triggerTokens = profile.compressionTriggerTokens();

        // 分类估算 token 占用
        int systemTokens = 0, userTokens = 0, assistantTokens = 0, toolTokens = 0;
        int systemCount = 0, userCount = 0, assistantCount = 0, toolCount = 0;
        for (LlmClient.Message msg : conversationHistory) {
            int t = com.tcode.memory.TokenBudget.estimateMessagesTokens(java.util.List.of(msg));
            switch (msg.role()) {
                case "system" -> { systemTokens += t; systemCount++; }
                case "user" -> { userTokens += t; userCount++; }
                case "assistant" -> { assistantTokens += t; assistantCount++; }
                case "tool" -> { toolTokens += t; toolCount++; }
            }
        }
        int messagesTokens = userTokens + assistantTokens + toolTokens;
        int toolsSchemaTokens = estimateToolsSchemaTokens();
        int total = systemTokens + messagesTokens + toolsSchemaTokens;
        double ratio = window > 0 ? (double) total / window : 0;
        int triggerRemaining = Math.max(0, triggerTokens - total);

        StringBuilder sb = new StringBuilder();
        sb.append(String.format("📊 Context Usage   %s   window: %s%n",
                modelLabel(), formatTokens(window)));
        sb.append("\n  ").append(progressBar(ratio, 30))
                .append(String.format("  %d%%  (%s / %s)%n",
                        (int) Math.round(ratio * 100), formatTokens(total), formatTokens(window)));
        sb.append("\n  当前占用细分:\n");
        sb.append(formatLine("System prompt",      systemTokens,    window, systemCount));
        sb.append(formatLine("Tools schema",       toolsSchemaTokens, window, -1));
        sb.append(formatLine("Conversation",       messagesTokens, window,
                userCount + assistantCount + toolCount));
        sb.append("    ─────────────────────────────────\n");
        sb.append(String.format("    合计:              %8s  (%4.1f%%)%n",
                formatTokens(total), ratio * 100));
        sb.append(String.format("%n  压缩阈值: %s (%d%%)   距压缩还有: %s%n",
                formatTokens(triggerTokens),
                (int) (profile.compressionTriggerRatio() * 100),
                formatTokens(triggerRemaining)));
        sb.append("  MCP resources 自动索引: ")
                .append(profile.mcpResourceIndexEnabled() ? "开启" : "关闭（window 不足 32k）")
                .append("\n");
        sb.append("  prompt cache: ").append(profile.promptCacheMode()).append("\n");
        sb.append("\n");
        sb.append(memoryManager.getSystemStatus());
        return sb.toString();
    }

    private String modelLabel() {
        if (llmClient == null) return "(no model)";