/** * Command Code provider for pi. * Connects pi to Command Code's API (https://api.commandcode.ai/alpha/generate). */ import { existsSync, readFileSync } from "node:fs"; import { homedir } from "node:os"; import { join } from "node:path"; import type { ExtensionAPI } from "@mariozechner/pi-coding-agent"; const API_BASE = "https://api.commandcode.ai"; // --------------------------------------------------------------------------- // Model definitions // --------------------------------------------------------------------------- const MODELS = [ // Premium (Anthropic) { id: "claude-opus-4-7", name: "Claude Opus 4.7 (CC)", reasoning: true, contextWindow: 200_000, maxTokens: 32_000 }, { id: "claude-opus-4-6", name: "Claude Opus 4.6 (CC)", reasoning: true, contextWindow: 200_000, maxTokens: 32_000 }, { id: "claude-sonnet-4-6", name: "Claude Sonnet 4.6 (CC)", reasoning: true, contextWindow: 200_000, maxTokens: 16_384 }, { id: "claude-haiku-4-5-20251001", name: "Claude Haiku 4.5 (CC)", reasoning: true, contextWindow: 200_000, maxTokens: 8_192 }, // Premium (OpenAI) { id: "gpt-5.5", name: "GPT-5.5 (CC)", reasoning: true, contextWindow: 256_000, maxTokens: 128_000 }, { id: "gpt-5.4", name: "GPT-5.4 (CC)", reasoning: true, contextWindow: 256_000, maxTokens: 128_000 }, { id: "gpt-5.3-codex", name: "GPT-5.3 Codex (CC)", reasoning: true, contextWindow: 256_000, maxTokens: 128_000 }, { id: "gpt-5.4-mini", name: "GPT-5.4 Mini (CC)", reasoning: false, contextWindow: 256_000, maxTokens: 128_000 }, // Open-source { id: "deepseek/deepseek-v4-pro", name: "DeepSeek V4 Pro (CC)", reasoning: true, contextWindow: 1_000_000, maxTokens: 384_000 }, { id: "deepseek/deepseek-v4-flash", name: "DeepSeek V4 Flash (CC)", reasoning: true, contextWindow: 1_000_000, maxTokens: 384_000 }, { id: "moonshotai/Kimi-K2.6", name: "Kimi K2.6 (CC)", reasoning: true, contextWindow: 262_144, maxTokens: 131_072 }, { id: "moonshotai/Kimi-K2.5", name: "Kimi K2.5 (CC)", reasoning: true, contextWindow: 262_144, maxTokens: 131_072 }, { id: "zai-org/GLM-5.1", name: "GLM-5.1 (CC)", reasoning: true, contextWindow: 200_000, maxTokens: 131_072 }, { id: "zai-org/GLM-5", name: "GLM-5 (CC)", reasoning: true, contextWindow: 200_000, maxTokens: 131_072 }, { id: "MiniMaxAI/MiniMax-M2.7", name: "MiniMax M2.7 (CC)", reasoning: true, contextWindow: 1_048_576, maxTokens: 131_072 }, { id: "MiniMaxAI/MiniMax-M2.5", name: "MiniMax M2.5 (CC)", reasoning: true, contextWindow: 1_048_576, maxTokens: 131_072 }, { id: "Qwen/Qwen3.6-Max-Preview", name: "Qwen 3.6 Max (CC)", reasoning: true, contextWindow: 1_000_000, maxTokens: 131_072 }, { id: "Qwen/Qwen3.6-Plus", name: "Qwen 3.6 Plus (CC)", reasoning: true, contextWindow: 1_000_000, maxTokens: 131_072 }, ]; // --------------------------------------------------------------------------- // Typebox → JSON Schema conversion // --------------------------------------------------------------------------- function toJsonSchema(schema: any): any { if (!schema) return {}; const s = schema as Record; const kind = s.kind ?? s.type; if (s.enum) { return { type: typeof s.enum[0], enum: s.enum }; } switch (kind) { case "string": case "String": return { type: "string" }; case "number": case "Number": return { type: "number" }; case "boolean": case "Boolean": return { type: "boolean" }; case "object": case "Object": { const props: Record = {}; const inferredRequired: string[] = []; if (s.properties) { for (const [k, v] of Object.entries(s.properties)) { props[k] = toJsonSchema(v); if (!(v as any).optional && !s.optional?.includes?.(k)) inferredRequired.push(k); } } const required = Array.isArray(s.required) ? s.required : inferredRequired; const out: any = { type: "object" }; if (Object.keys(props).length) out.properties = props; if (required.length) out.required = required; return out; } case "array": case "Array": return { type: "array", items: toJsonSchema(s.items ?? s.element) }; case "union": case "Union": { const variants = s.variants ?? s.anyOf ?? []; for (const v of variants) { const schema = toJsonSchema(v); if (schema && Object.keys(schema).length) return schema; } return {}; } case "optional": case "Optional": return toJsonSchema(s.wrapped ?? s.inner); default: return {}; } } function toolsToJson(tools: any[]): any[] { if (!tools) return []; return tools.map((t) => { const schema = t.parameters ? toJsonSchema(t.parameters) : {}; return { type: "function", name: t.name, description: t.description, input_schema: schema, }; }); } function messagesToCC(msgs: any[]): any[] { const out: any[] = []; for (const m of msgs) { if (m.role === "user") { out.push({ role: "user", content: typeof m.content === "string" ? m.content : m.content, }); } else if (m.role === "assistant") { const parts: any[] = []; for (const c of m.content) { if (c.type === "text") { parts.push({ type: "text", text: c.text }); } else if (c.type === "thinking") { parts.push({ type: "reasoning", text: c.thinking }); } else if (c.type === "toolCall") { parts.push({ type: "tool-call", toolCallId: c.id, toolName: c.name, input: c.arguments, }); } } out.push({ role: "assistant", content: parts }); } else if (m.role === "toolResult") { const text = (m.content ?? []) .filter((c: any) => c.type === "text") .map((c: any) => c.text ?? "") .join("\n"); out.push({ role: "tool", content: [ { type: "tool-result", toolCallId: m.toolCallId, toolName: m.toolName, output: m.isError ? { type: "error-text", value: text } : { type: "text", value: text }, }, ], }); } } return out; } function getEnvironmentInfo(): string { return `${process.platform}-${process.arch}, Node.js ${process.version}`; } function uuid(): string { return crypto.randomUUID(); } // --------------------------------------------------------------------------- // Extension entry point // --------------------------------------------------------------------------- export default function (pi: ExtensionAPI) { pi.registerProvider("commandcode", { name: "Command Code", baseUrl: API_BASE, api: "commandcode-custom" as any, headers: { "x-command-code-version": "0.24.1", "x-cli-environment": "production", }, models: MODELS.map((m) => ({ id: m.id, name: m.name, reasoning: m.reasoning, input: ["text"] as ("text" | "image")[], cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }, contextWindow: m.contextWindow, maxTokens: m.maxTokens, })), }); }