Files
shockbot/agents/codex.ts
T
2026-01-14 22:52:54 +00:00

274 lines
8.4 KiB
TypeScript

import { mkdirSync, writeFileSync } from "node:fs";
import { join } from "node:path";
import type { McpHttpServerConfig } from "@anthropic-ai/claude-agent-sdk";
import {
Codex,
type CodexOptions,
type ModelReasoningEffort,
type ThreadEvent,
type ThreadOptions,
} from "@openai/codex-sdk";
import type { Effort } from "../external.ts";
import { log } from "../utils/cli.ts";
import { addInstructions } from "./instructions.ts";
import { agent, installFromNpmTarball, setupProcessAgentEnv } from "./shared.ts";
// model configuration based on effort level
const codexModel: Record<Effort, string> = {
mini: "gpt-5.1-codex-mini",
// https://developers.openai.com/codex/models/
// gpt-5.2-codex is not yet available via api key (even through codex cli)
auto: "gpt-5.1-codex",
max: "gpt-5.1-codex-max",
} as const;
// reasoning effort configuration based on effort level
// uses modelReasoningEffort parameter from ThreadOptions
const codexReasoningEffort: Record<Effort, ModelReasoningEffort | undefined> = {
mini: "low",
auto: undefined, // use default
max: "high",
};
interface WriteCodexConfigParams {
tempHome: string;
mcpServers: Record<string, McpHttpServerConfig>;
isPublicRepo: boolean;
}
function writeCodexConfig({ tempHome, mcpServers, isPublicRepo }: WriteCodexConfigParams): string {
const codexDir = join(tempHome, ".codex");
mkdirSync(codexDir, { recursive: true });
const configPath = join(codexDir, "config.toml");
// build MCP servers section
const mcpServerSections: string[] = [];
for (const [name, config] of Object.entries(mcpServers)) {
if (config.type !== "http") continue;
log.info(`» Adding MCP server '${name}' at ${config.url}`);
mcpServerSections.push(`[mcp_servers.${name}]\nurl = "${config.url}"`);
}
// SECURITY: for public repos, enforce env filtering via shell_environment_policy
// this prevents vuln if user's ~/.codex/config.toml has ignore_default_excludes=true
// for private repos, no filtering - agents use native shell with full env access
const shellPolicy = isPublicRepo
? `[shell_environment_policy]
ignore_default_excludes = false`
: "";
writeFileSync(
configPath,
`# written by pullfrog
${shellPolicy}
${mcpServerSections.join("\n\n")}
`.trim() + "\n"
);
if (isPublicRepo) {
log.info(`» Codex config written to ${configPath} (env filtering: enabled)`);
} else {
log.info(`» Codex config written to ${configPath} (private repo: no env filtering)`);
}
return codexDir;
}
export const codex = agent({
name: "codex",
install: async () => {
return await installFromNpmTarball({
packageName: "@openai/codex",
version: "latest",
executablePath: "bin/codex.js",
});
},
run: async ({ payload, mcpServers, apiKey, cliPath, repo, effort }) => {
const tempHome = process.env.PULLFROG_TEMP_DIR!;
// create config directory for codex before setting HOME
const configDir = join(tempHome, ".config", "codex");
mkdirSync(configDir, { recursive: true });
const codexDir = writeCodexConfig({
tempHome,
mcpServers,
isPublicRepo: repo.isPublic,
});
setupProcessAgentEnv({
OPENAI_API_KEY: apiKey,
HOME: tempHome,
CODEX_HOME: codexDir, // point Codex to our config directory
});
// get model and reasoning effort based on effort level
const model = codexModel[effort];
const modelReasoningEffort = codexReasoningEffort[effort];
log.info(`Using model: ${model}`);
if (modelReasoningEffort) {
log.info(`Using modelReasoningEffort: ${modelReasoningEffort}`);
}
// Configure Codex
const codexOptions: CodexOptions = {
apiKey,
codexPathOverride: cliPath,
};
if (payload.sandbox) {
log.info("🔒 sandbox mode enabled: restricting to read-only operations");
}
const codex = new Codex(codexOptions);
// Build thread options with model and optional model_reasoning_effort
const baseThreadOptions = payload.sandbox
? {
model,
approvalPolicy: "never" as const,
sandboxMode: "read-only" as const,
networkAccessEnabled: false,
}
: {
model,
approvalPolicy: "never" as const,
// use danger-full-access to allow git operations (workspace-write blocks .git directory writes)
sandboxMode: "danger-full-access" as const,
networkAccessEnabled: true,
};
const threadOptions: ThreadOptions = modelReasoningEffort
? { ...baseThreadOptions, modelReasoningEffort }
: baseThreadOptions;
const thread = codex.startThread(threadOptions);
try {
const streamedTurn = await thread.runStreamed(addInstructions({ payload, repo }));
let finalOutput = "";
for await (const event of streamedTurn.events) {
const handler = messageHandlers[event.type];
log.debug(JSON.stringify(event, null, 2));
if (handler) {
handler(event as never);
}
if (event.type === "item.completed" && event.item.type === "agent_message") {
finalOutput = event.item.text;
}
}
return {
success: true,
output: finalOutput,
};
} catch (error) {
const errorMessage = error instanceof Error ? error.message : String(error);
log.error(`Codex execution failed: ${errorMessage}`);
return {
success: false,
error: errorMessage,
output: "",
};
}
},
});
// Track command execution IDs to identify when command results come back
const commandExecutionIds = new Set<string>();
type ThreadEventHandler<type extends ThreadEvent["type"]> = (
event: Extract<ThreadEvent, { type: type }>
) => void;
const messageHandlers: {
[type in ThreadEvent["type"]]: ThreadEventHandler<type>;
} = {
"thread.started": () => {
// No logging needed
},
"turn.started": () => {
// No logging needed
},
"turn.completed": async (event) => {
await log.summaryTable([
[
{ data: "Input Tokens", header: true },
{ data: "Cached Input Tokens", header: true },
{ data: "Output Tokens", header: true },
],
[
String(event.usage.input_tokens || 0),
String(event.usage.cached_input_tokens || 0),
String(event.usage.output_tokens || 0),
],
]);
},
"turn.failed": (event) => {
log.error(`Turn failed: ${event.error.message}`);
},
"item.started": (event) => {
const item = event.item;
if (item.type === "command_execution") {
commandExecutionIds.add(item.id);
log.toolCall({
toolName: item.command,
input: (item as any).args || {},
});
} else if (item.type === "agent_message") {
// Will be handled on completion
} else if (item.type === "mcp_tool_call") {
log.toolCall({
toolName: item.tool,
input: {
server: item.server,
...((item as any).arguments || {}),
},
});
}
// Reasoning items are handled on completion for better readability
},
"item.updated": (event) => {
const item = event.item;
if (item.type === "command_execution") {
if (item.status === "in_progress" && item.aggregated_output) {
// Command is still running, could show progress if needed
}
}
},
"item.completed": (event) => {
const item = event.item;
if (item.type === "agent_message") {
log.box(item.text.trim(), { title: "Codex" });
} else if (item.type === "command_execution") {
const isTracked = commandExecutionIds.has(item.id);
if (isTracked) {
log.startGroup(`bash output`);
if (item.status === "failed" || (item.exit_code !== undefined && item.exit_code !== 0)) {
log.warning(item.aggregated_output || "Command failed");
} else {
log.info(item.aggregated_output || "");
}
log.endGroup();
commandExecutionIds.delete(item.id);
}
} else if (item.type === "mcp_tool_call") {
if (item.status === "failed" && item.error) {
log.warning(`MCP tool call failed: ${item.error.message}`);
}
} else if (item.type === "reasoning") {
// Display reasoning in a human-readable format
const reasoningText = item.text.trim();
// Remove markdown bold markers if present for cleaner output
const cleanText = reasoningText.replace(/\*\*/g, "");
log.box(cleanText, { title: "Codex" });
}
},
error: (event) => {
log.error(`Error: ${event.message}`);
},
};