- Widen config match from top-level *.cjs to **/*.cjs so nested CommonJS
scripts (e.g. mcp-schema-server.cjs) get Node globals and require() allowance.
- Replace lazy require() in claude-skills.ts with a normal top-level fs import.
- Tighten an any-typed tool map in pi-claude-cli to { name: string }.
Clears the remaining 12 lint errors; workspace now has 0 errors, 450 warnings.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
110 lines
3.4 KiB
TypeScript
110 lines
3.4 KiB
TypeScript
/**
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* Pi extension entry point for pi-claude-cli.
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*
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* Registers a custom provider that routes LLM calls through the Claude Code CLI
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* subprocess using stream-json NDJSON protocol.
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*/
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import { getModels } from "@mariozechner/pi-ai";
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import type { ExtensionAPI } from "@mariozechner/pi-coding-agent";
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import { streamViaCli } from "./src/provider.js";
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import {
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validateCliPresence,
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validateCliAuth,
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killAllProcesses,
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} from "./src/process-manager.js";
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import { getCustomToolDefs, writeMcpConfig } from "./src/mcp-config.js";
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// Kill all active Claude subprocesses on process exit to prevent orphans
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process.on("exit", killAllProcesses);
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const PROVIDER_ID = "pi-claude-cli";
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let mcpConfigPath: string | undefined;
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let mcpConfigResolved = false;
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/**
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* Lazily generate MCP config on first request (not at load time).
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* pi.getAllTools() fails during extension loading; this defers it
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* until the pi runtime is fully initialized.
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*
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* Only locks (sets mcpConfigResolved) when getAllTools() returns a
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* real array — if it returns undefined/null (registry not ready),
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* we retry on the next request. Once the registry is ready we
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* commit to the result even if there are zero custom tools.
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*
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* Uses warn-don't-block: failure logs a warning but does not
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* prevent the provider from functioning (built-ins still work).
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*/
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function ensureMcpConfig(pi: ExtensionAPI): string | undefined {
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if (mcpConfigResolved) return mcpConfigPath;
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try {
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const allTools = pi.getAllTools();
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// Registry not ready yet — don't lock, retry on next call
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if (!Array.isArray(allTools)) {
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return mcpConfigPath;
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}
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// Registry is ready — lock regardless of whether custom tools exist
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mcpConfigResolved = true;
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const toolDefs = getCustomToolDefs(pi);
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if (toolDefs.length > 0) {
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mcpConfigPath = writeMcpConfig(toolDefs);
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console.error(
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`[pi-claude-cli] MCP config generated with ${toolDefs.length} custom tool(s)`,
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);
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}
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} catch (err) {
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console.warn(
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"[pi-claude-cli] MCP config generation failed, custom tools unavailable:",
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err,
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);
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}
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return mcpConfigPath;
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}
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export default function (pi: ExtensionAPI) {
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try {
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// Startup validation
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validateCliPresence(); // throws if CLI not on PATH
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validateCliAuth(); // warns if not authenticated
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const models = getModels("anthropic").map((model) => ({
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id: model.id,
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name: model.name,
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reasoning: model.reasoning,
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input: model.input,
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cost: model.cost,
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contextWindow: model.contextWindow,
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maxTokens: model.maxTokens,
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}));
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// Ensure all registered tools are active so pi can execute them.
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// Some tools (find, grep, ls) are registered but not activated by default.
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pi.on("session_start", async () => {
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const allTools = pi.getAllTools();
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if (Array.isArray(allTools)) {
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pi.setActiveTools(allTools.map((t: { name: string }) => t.name));
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}
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});
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pi.registerProvider(PROVIDER_ID, {
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baseUrl: "pi-claude-cli",
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apiKey: "unused",
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api: "pi-claude-cli",
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models,
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streamSimple: (model, context, options) => {
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const configPath = ensureMcpConfig(pi);
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return streamViaCli(model, context, {
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...options,
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mcpConfigPath: configPath,
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});
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},
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});
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} catch (err) {
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console.error(`[pi-claude-cli] Failed to register provider:`, err);
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}
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}
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