llmx/codex-cli/src/components/chat/terminal-chat.tsx

import type { ApplyPatchCommand, ApprovalPolicy } from "../../approvals.js";
import type { CommandConfirmation } from "../../utils/agent/agent-loop.js";
import type { AppConfig } from "../../utils/config.js";
import type { ColorName } from "chalk";
import type { ResponseItem } from "openai/resources/responses/responses.mjs";

import TerminalChatInput from "./terminal-chat-input.js";
import { TerminalChatToolCallCommand } from "./terminal-chat-tool-call-item.js";
import {
  calculateContextPercentRemaining,
  uniqueById,
} from "./terminal-chat-utils.js";
import TerminalMessageHistory from "./terminal-message-history.js";
import { formatCommandForDisplay } from "../../format-command.js";
import { useConfirmation } from "../../hooks/use-confirmation.js";
import { useTerminalSize } from "../../hooks/use-terminal-size.js";
import { AgentLoop } from "../../utils/agent/agent-loop.js";
import { isLoggingEnabled, log } from "../../utils/agent/log.js";
import { ReviewDecision } from "../../utils/agent/review.js";
import { generateCompactSummary } from "../../utils/compact-summary.js";
import { OPENAI_BASE_URL } from "../../utils/config.js";
import { createInputItem } from "../../utils/input-utils.js";
import { getAvailableModels } from "../../utils/model-utils.js";
import { CLI_VERSION } from "../../utils/session.js";
import { shortCwd } from "../../utils/short-path.js";
import { saveRollout } from "../../utils/storage/save-rollout.js";
import ApprovalModeOverlay from "../approval-mode-overlay.js";
import HelpOverlay from "../help-overlay.js";
import HistoryOverlay from "../history-overlay.js";
import ModelOverlay from "../model-overlay.js";
import { Box, Text } from "ink";
import { exec } from "node:child_process";
import OpenAI from "openai";
import React, { useEffect, useMemo, useRef, useState } from "react";
import { inspect } from "util";

type Props = {
  config: AppConfig;
  prompt?: string;
  imagePaths?: Array<string>;
  approvalPolicy: ApprovalPolicy;
  additionalWritableRoots: ReadonlyArray<string>;
  fullStdout: boolean;
};

const colorsByPolicy: Record<ApprovalPolicy, ColorName | undefined> = {
  "suggest": undefined,
  "auto-edit": "greenBright",
  "full-auto": "green",
};

/**
 * Generates an explanation for a shell command using the OpenAI API.
 *
 * @param command The command to explain
 * @param model The model to use for generating the explanation
 * @returns A human-readable explanation of what the command does
 */
async function generateCommandExplanation(
  command: Array<string>,
  model: string,
): Promise<string> {
  try {
    // Create a temporary OpenAI client
    const oai = new OpenAI({
      apiKey: process.env["OPENAI_API_KEY"],
      baseURL: OPENAI_BASE_URL,
    });

    // Format the command for display
    const commandForDisplay = formatCommandForDisplay(command);

    // Create a prompt that asks for an explanation with a more detailed system prompt
    const response = await oai.chat.completions.create({
      model,
      messages: [
        {
          role: "system",
          content:
            "You are an expert in shell commands and terminal operations. Your task is to provide detailed, accurate explanations of shell commands that users are considering executing. Break down each part of the command, explain what it does, identify any potential risks or side effects, and explain why someone might want to run it. Be specific about what files or systems will be affected. If the command could potentially be harmful, make sure to clearly highlight those risks.",
        },
        {
          role: "user",
          content: `Please explain this shell command in detail: \`${commandForDisplay}\`\n\nProvide a structured explanation that includes:\n1. A brief overview of what the command does\n2. A breakdown of each part of the command (flags, arguments, etc.)\n3. What files, directories, or systems will be affected\n4. Any potential risks or side effects\n5. Why someone might want to run this command\n\nBe specific and technical - this explanation will help the user decide whether to approve or reject the command.`,
        },
      ],
    });

    // Extract the explanation from the response
    const explanation =
      response.choices[0]?.message.content || "Unable to generate explanation.";
    return explanation;
  } catch (error) {
    log(`Error generating command explanation: ${error}`);

    // Improved error handling with more specific error information
    let errorMessage = "Unable to generate explanation due to an error.";

    if (error instanceof Error) {
      // Include specific error message for better debugging
      errorMessage = `Unable to generate explanation: ${error.message}`;

      // If it's an API error, check for more specific information
      if ("status" in error && typeof error.status === "number") {
        // Handle API-specific errors
        if (error.status === 401) {
          errorMessage =
            "Unable to generate explanation: API key is invalid or expired.";
        } else if (error.status === 429) {
          errorMessage =
            "Unable to generate explanation: Rate limit exceeded. Please try again later.";
        } else if (error.status >= 500) {
          errorMessage =
            "Unable to generate explanation: OpenAI service is currently unavailable. Please try again later.";
        }
      }
    }

    return errorMessage;
  }
}

export default function TerminalChat({
  config,
  prompt: _initialPrompt,
  imagePaths: _initialImagePaths,
  approvalPolicy: initialApprovalPolicy,
  additionalWritableRoots,
  fullStdout,
}: Props): React.ReactElement {
  // Desktop notification setting
  const notify = config.notify;
  const [model, setModel] = useState<string>(config.model);
  const [lastResponseId, setLastResponseId] = useState<string | null>(null);
  const [items, setItems] = useState<Array<ResponseItem>>([]);
  const [loading, setLoading] = useState<boolean>(false);
  // Allow switching approval modes at runtime via an overlay.
  const [approvalPolicy, setApprovalPolicy] = useState<ApprovalPolicy>(
    initialApprovalPolicy,
  );
  const [thinkingSeconds, setThinkingSeconds] = useState(0);
  const handleCompact = async () => {
    setLoading(true);
    try {
      const summary = await generateCompactSummary(items, model);
      setItems([
        {
          id: `compact-${Date.now()}`,
          type: "message",
          role: "assistant",
          content: [{ type: "output_text", text: summary }],
        } as ResponseItem,
      ]);
    } catch (err) {
      setItems((prev) => [
        ...prev,
        {
          id: `compact-error-${Date.now()}`,
          type: "message",
          role: "system",
          content: [
            { type: "input_text", text: `Failed to compact context: ${err}` },
          ],
        } as ResponseItem,
      ]);
    } finally {
      setLoading(false);
    }
  };
  const {
    requestConfirmation,
    confirmationPrompt,
    explanation,
    submitConfirmation,
  } = useConfirmation();
  const [overlayMode, setOverlayMode] = useState<
    "none" | "history" | "model" | "approval" | "help"
  >("none");

  const [initialPrompt, setInitialPrompt] = useState(_initialPrompt);
  const [initialImagePaths, setInitialImagePaths] =
    useState(_initialImagePaths);

  const PWD = React.useMemo(() => shortCwd(), []);

  // Keep a single AgentLoop instance alive across renders;
  // recreate only when model/instructions/approvalPolicy change.
  const agentRef = React.useRef<AgentLoop>();
  const [, forceUpdate] = React.useReducer((c) => c + 1, 0); // trigger re‑render

  // ────────────────────────────────────────────────────────────────
  // DEBUG: log every render w/ key bits of state
  // ────────────────────────────────────────────────────────────────
  if (isLoggingEnabled()) {
    log(
      `render – agent? ${Boolean(agentRef.current)} loading=${loading} items=${
        items.length
      }`,
    );
  }

  useEffect(() => {
    if (isLoggingEnabled()) {
      log("creating NEW AgentLoop");
      log(
        `model=${model} instructions=${Boolean(
          config.instructions,
        )} approvalPolicy=${approvalPolicy}`,
      );
    }

    // Tear down any existing loop before creating a new one
    agentRef.current?.terminate();

    agentRef.current = new AgentLoop({
      model,
      config,
      instructions: config.instructions,
      approvalPolicy,
      additionalWritableRoots,
      onLastResponseId: setLastResponseId,
      onItem: (item) => {
        log(`onItem: ${JSON.stringify(item)}`);
        setItems((prev) => {
          const updated = uniqueById([...prev, item as ResponseItem]);
          saveRollout(updated);
          return updated;
        });
      },
      onLoading: setLoading,
      getCommandConfirmation: async (
        command: Array<string>,
        applyPatch: ApplyPatchCommand | undefined,
      ): Promise<CommandConfirmation> => {
        log(`getCommandConfirmation: ${command}`);
        const commandForDisplay = formatCommandForDisplay(command);

        // First request for confirmation
        let { decision: review, customDenyMessage } = await requestConfirmation(
          <TerminalChatToolCallCommand commandForDisplay={commandForDisplay} />,
        );

        // If the user wants an explanation, generate one and ask again
        if (review === ReviewDecision.EXPLAIN) {
          log(`Generating explanation for command: ${commandForDisplay}`);

          // Generate an explanation using the same model
          const explanation = await generateCommandExplanation(command, model);
          log(`Generated explanation: ${explanation}`);

          // Ask for confirmation again, but with the explanation
          const confirmResult = await requestConfirmation(
            <TerminalChatToolCallCommand
              commandForDisplay={commandForDisplay}
              explanation={explanation}
            />,
          );

          // Update the decision based on the second confirmation
          review = confirmResult.decision;
          customDenyMessage = confirmResult.customDenyMessage;

          // Return the final decision with the explanation
          return { review, customDenyMessage, applyPatch, explanation };
        }

        return { review, customDenyMessage, applyPatch };
      },
    });

    // force a render so JSX below can "see" the freshly created agent
    forceUpdate();

    if (isLoggingEnabled()) {
      log(`AgentLoop created: ${inspect(agentRef.current, { depth: 1 })}`);
    }

    return () => {
      if (isLoggingEnabled()) {
        log("terminating AgentLoop");
      }
      agentRef.current?.terminate();
      agentRef.current = undefined;
      forceUpdate(); // re‑render after teardown too
    };
  }, [
    model,
    config,
    approvalPolicy,
    requestConfirmation,
    additionalWritableRoots,
  ]);

  // whenever loading starts/stops, reset or start a timer — but pause the
  // timer while a confirmation overlay is displayed so we don't trigger a
  // re‑render every second during apply_patch reviews.
  useEffect(() => {
    let handle: ReturnType<typeof setInterval> | null = null;
    // Only tick the "thinking…" timer when the agent is actually processing
    // a request *and* the user is not being asked to review a command.
    if (loading && confirmationPrompt == null) {
      setThinkingSeconds(0);
      handle = setInterval(() => {
        setThinkingSeconds((s) => s + 1);
      }, 1000);
    } else {
      if (handle) {
        clearInterval(handle);
      }
      setThinkingSeconds(0);
    }
    return () => {
      if (handle) {
        clearInterval(handle);
      }
    };
  }, [loading, confirmationPrompt]);

  // Notify desktop with a preview when an assistant response arrives
  const prevLoadingRef = useRef<boolean>(false);
  useEffect(() => {
    // Only notify when notifications are enabled
    if (!notify) {
      prevLoadingRef.current = loading;
      return;
    }
    if (
      prevLoadingRef.current &&
      !loading &&
      confirmationPrompt == null &&
      items.length > 0
    ) {
      if (process.platform === "darwin") {
        // find the last assistant message
        const assistantMessages = items.filter(
          (i) => i.type === "message" && i.role === "assistant",
        );
        const last = assistantMessages[assistantMessages.length - 1];
        if (last) {
          const text = last.content
            .map((c) => {
              if (c.type === "output_text") {
                return c.text;
              }
              return "";
            })
            .join("")
            .trim();
          const preview = text.replace(/\n/g, " ").slice(0, 100);
          const safePreview = preview.replace(/"/g, '\\"');
          const title = "Codex CLI";
          const cwd = PWD;
          exec(
            `osascript -e 'display notification "${safePreview}" with title "${title}" subtitle "${cwd}" sound name "Ping"'`,
          );
        }
      }
    }
    prevLoadingRef.current = loading;
  }, [notify, loading, confirmationPrompt, items, PWD]);

  // Let's also track whenever the ref becomes available
  const agent = agentRef.current;
  useEffect(() => {
    if (isLoggingEnabled()) {
      log(`agentRef.current is now ${Boolean(agent)}`);
    }
  }, [agent]);

  // ---------------------------------------------------------------------
  // Dynamic layout constraints – keep total rendered rows <= terminal rows
  // ---------------------------------------------------------------------

  const { rows: terminalRows } = useTerminalSize();

  useEffect(() => {
    const processInitialInputItems = async () => {
      if (
        (!initialPrompt || initialPrompt.trim() === "") &&
        (!initialImagePaths || initialImagePaths.length === 0)
      ) {
        return;
      }
      const inputItems = [
        await createInputItem(initialPrompt || "", initialImagePaths || []),
      ];
      // Clear them to prevent subsequent runs
      setInitialPrompt("");
      setInitialImagePaths([]);
      agent?.run(inputItems);
    };
    processInitialInputItems();
  }, [agent, initialPrompt, initialImagePaths]);

  // ────────────────────────────────────────────────────────────────
  // In-app warning if CLI --model isn't in fetched list
  // ────────────────────────────────────────────────────────────────
  useEffect(() => {
    (async () => {
      const available = await getAvailableModels();
      if (model && available.length > 0 && !available.includes(model)) {
        setItems((prev) => [
          ...prev,
          {
            id: `unknown-model-${Date.now()}`,
            type: "message",
            role: "system",
            content: [
              {
                type: "input_text",
                text: `Warning: model "${model}" is not in the list of available models returned by OpenAI.`,
              },
            ],
          },
        ]);
      }
    })();
    // run once on mount
    // eslint-disable-next-line react-hooks/exhaustive-deps
  }, []);

  // Just render every item in order, no grouping/collapse
  const lastMessageBatch = items.map((item) => ({ item }));
  const groupCounts: Record<string, number> = {};
  const userMsgCount = items.filter(
    (i) => i.type === "message" && i.role === "user",
  ).length;

  const contextLeftPercent = useMemo(
    () => calculateContextPercentRemaining(items, model),
    [items, model],
  );

  return (
    <Box flexDirection="column">
      <Box flexDirection="column">
        {agent ? (
          <TerminalMessageHistory
            batch={lastMessageBatch}
            groupCounts={groupCounts}
            items={items}
            userMsgCount={userMsgCount}
            confirmationPrompt={confirmationPrompt}
            loading={loading}
            thinkingSeconds={thinkingSeconds}
            fullStdout={fullStdout}
            headerProps={{
              terminalRows,
              version: CLI_VERSION,
              PWD,
              model,
              approvalPolicy,
              colorsByPolicy,
              agent,
              initialImagePaths,
            }}
          />
        ) : (
          <Box>
            <Text color="gray">Initializing agent…</Text>
          </Box>
        )}
        {agent && (
          <TerminalChatInput
            loading={loading}
            setItems={setItems}
            isNew={Boolean(items.length === 0)}
            setLastResponseId={setLastResponseId}
            confirmationPrompt={confirmationPrompt}
            explanation={explanation}
            submitConfirmation={(
              decision: ReviewDecision,
              customDenyMessage?: string,
            ) =>
              submitConfirmation({
                decision,
                customDenyMessage,
              })
            }
            contextLeftPercent={contextLeftPercent}
            openOverlay={() => setOverlayMode("history")}
            openModelOverlay={() => setOverlayMode("model")}
            openApprovalOverlay={() => setOverlayMode("approval")}
            openHelpOverlay={() => setOverlayMode("help")}
            onCompact={handleCompact}
            active={overlayMode === "none"}
            interruptAgent={() => {
              if (!agent) {
                return;
              }
              if (isLoggingEnabled()) {
                log(
                  "TerminalChat: interruptAgent invoked – calling agent.cancel()",
                );
              }
              agent.cancel();
              setLoading(false);

              // Add a system message to indicate the interruption
              setItems((prev) => [
                ...prev,
                {
                  id: `interrupt-${Date.now()}`,
                  type: "message",
                  role: "system",
                  content: [
                    {
                      type: "input_text",
                      text: "⏹️  Execution interrupted by user. You can continue typing.",
                    },
                  ],
                },
              ]);
            }}
            submitInput={(inputs) => {
              agent.run(inputs, lastResponseId || "");
              return {};
            }}
            items={items}
            thinkingSeconds={thinkingSeconds}
          />
        )}
        {overlayMode === "history" && (
          <HistoryOverlay items={items} onExit={() => setOverlayMode("none")} />
        )}
        {overlayMode === "model" && (
          <ModelOverlay
            currentModel={model}
            hasLastResponse={Boolean(lastResponseId)}
            onSelect={(newModel) => {
              if (isLoggingEnabled()) {
                log(
                  "TerminalChat: interruptAgent invoked – calling agent.cancel()",
                );
                if (!agent) {
                  log("TerminalChat: agent is not ready yet");
                }
              }
              agent?.cancel();
              setLoading(false);

              setModel(newModel);
              setLastResponseId((prev) =>
                prev && newModel !== model ? null : prev,
              );

              setItems((prev) => [
                ...prev,
                {
                  id: `switch-model-${Date.now()}`,
                  type: "message",
                  role: "system",
                  content: [
                    {
                      type: "input_text",
                      text: `Switched model to ${newModel}`,
                    },
                  ],
                },
              ]);

              setOverlayMode("none");
            }}
            onExit={() => setOverlayMode("none")}
          />
        )}

        {overlayMode === "approval" && (
          <ApprovalModeOverlay
            currentMode={approvalPolicy}
            onSelect={(newMode) => {
              agent?.cancel();
              setLoading(false);
              if (newMode === approvalPolicy) {
                return;
              }
              setApprovalPolicy(newMode as ApprovalPolicy);
              setItems((prev) => [
                ...prev,
                {
                  id: `switch-approval-${Date.now()}`,
                  type: "message",
                  role: "system",
                  content: [
                    {
                      type: "input_text",
                      text: `Switched approval mode to ${newMode}`,
                    },
                  ],
                },
              ]);

              setOverlayMode("none");
            }}
            onExit={() => setOverlayMode("none")}
          />
        )}

        {overlayMode === "help" && (
          <HelpOverlay onExit={() => setOverlayMode("none")} />
        )}
      </Box>
    </Box>
  );
}