Clean up actions and payloads (#98)
* Clean up actions and payloads * Clean up action * Cleanup
This commit is contained in:
committed by
pullfrog[bot]
parent
5c60791b34
commit
9e019d89d2
+26
-35
@@ -8,14 +8,10 @@ import {
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type ThreadOptions,
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} from "@openai/codex-sdk";
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import type { Effort } from "../external.ts";
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import { ghPullfrogMcpName } from "../external.ts";
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import { log } from "../utils/cli.ts";
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import { addInstructions } from "./instructions.ts";
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import {
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agent,
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type AgentConfig,
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installFromNpmTarball,
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setupProcessAgentEnv,
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} from "./shared.ts";
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import { installFromNpmTarball } from "../utils/install.ts";
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import { type AgentRunContext, agent } from "./shared.ts";
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// model configuration based on effort level
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const codexModel: Record<Effort, string> = {
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@@ -34,19 +30,14 @@ const codexReasoningEffort: Record<Effort, ModelReasoningEffort | undefined> = {
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max: "high",
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};
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function writeCodexConfig(ctx: AgentConfig): string {
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const tempHome = process.env.PULLFROG_TEMP_DIR!;
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const codexDir = join(tempHome, ".codex");
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function writeCodexConfig(ctx: AgentRunContext): string {
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const codexDir = join(ctx.tmpdir, ".codex");
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mkdirSync(codexDir, { recursive: true });
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const configPath = join(codexDir, "config.toml");
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// build MCP servers section
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const mcpServerSections: string[] = [];
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for (const [name, config] of Object.entries(ctx.mcpServers)) {
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if (config.type !== "http") continue;
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log.info(`» adding MCP server '${name}' at ${config.url}`);
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mcpServerSections.push(`[mcp_servers.${name}]\nurl = "${config.url}"`);
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}
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log.info(`» adding MCP server '${ghPullfrogMcpName}' at ${ctx.mcpServerUrl}`);
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const mcpServerSections = [`[mcp_servers.${ghPullfrogMcpName}]\nurl = "${ctx.mcpServerUrl}"`];
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// build features section for tool control
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// disable native shell if bash is "disabled" or "restricted"
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@@ -74,42 +65,42 @@ ${mcpServerSections.join("\n\n")}
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return codexDir;
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}
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async function installCodex(): Promise<string> {
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return await installFromNpmTarball({
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packageName: "@openai/codex",
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version: "latest",
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executablePath: "bin/codex.js",
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});
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}
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export const codex = agent({
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name: "codex",
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install: async () => {
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return await installFromNpmTarball({
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packageName: "@openai/codex",
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version: "latest",
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executablePath: "bin/codex.js",
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});
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},
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install: installCodex,
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run: async (ctx) => {
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const tempHome = process.env.PULLFROG_TEMP_DIR!;
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// install CLI at start of run
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const cliPath = await installCodex();
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// create config directory for codex before setting HOME
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const configDir = join(tempHome, ".config", "codex");
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const configDir = join(ctx.tmpdir, ".config", "codex");
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mkdirSync(configDir, { recursive: true });
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const codexDir = writeCodexConfig(ctx);
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setupProcessAgentEnv({
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OPENAI_API_KEY: ctx.apiKey,
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HOME: tempHome,
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CODEX_HOME: codexDir, // point Codex to our config directory
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});
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process.env.HOME = ctx.tmpdir;
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process.env.CODEX_HOME = codexDir;
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// get model and reasoning effort based on effort level
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const model = codexModel[ctx.effort];
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const modelReasoningEffort = codexReasoningEffort[ctx.effort];
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log.info(`Using model: ${model}`);
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log.info(`» using model: ${model}`);
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if (modelReasoningEffort) {
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log.info(`Using modelReasoningEffort: ${modelReasoningEffort}`);
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log.info(`» using modelReasoningEffort: ${modelReasoningEffort}`);
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}
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// Configure Codex
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const codexOptions: CodexOptions = {
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apiKey: ctx.apiKey,
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codexPathOverride: ctx.cliPath,
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codexPathOverride: cliPath,
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};
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const codex = new Codex(codexOptions);
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@@ -128,13 +119,13 @@ export const codex = agent({
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};
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log.info(
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`🔧 Codex options: sandboxMode=${threadOptions.sandboxMode}, networkAccessEnabled=${threadOptions.networkAccessEnabled}, webSearchEnabled=${threadOptions.webSearchEnabled}`
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`» Codex options: sandboxMode=${threadOptions.sandboxMode}, networkAccessEnabled=${threadOptions.networkAccessEnabled}, webSearchEnabled=${threadOptions.webSearchEnabled}`
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);
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const thread = codex.startThread(threadOptions);
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try {
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const streamedTurn = await thread.runStreamed(addInstructions(ctx));
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const streamedTurn = await thread.runStreamed(ctx.instructions);
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let finalOutput = "";
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for await (const event of streamedTurn.events) {
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