Files
shiro-neko/src/config.ts
T
Muhammad Zakir Ramadhan f8c3cc2d8e Ship the batch: undo, parallel subagents, lazy MCP, hot-reloaded skills; docs and CI/CD
Loop and ergonomics batch across Now/Next and Maintenance:
- /undo and /redo via pre-prompt file snapshots (snapshot.ts)
- task takes a tasks[] array and runs investigations concurrently (subagent.ts)
- lazy MCP tools: mcp_list/mcp_inspect/mcp_call meta-tools, eager opt-in (mcp.ts, config.ts)
- skill tool reads its list live so a mid-session install is callable next turn (skills.ts)
- tool-name lists (tool-kinds.ts) derived from a mutating() marker; gates previously ungated writes
- prune/session recovery path summarized, and step-back doom-loop primitive (step-back.ts)
- @file completion re-walks on a slow cooldown; estimateTokens and pricing labeled as estimates

Docs: README, CHANGELOG, docs/{mcp,architecture,development} updated to match.
CI/CD: bun install-store cache and concurrency gates on both workflows; release.yml now
composes file-based release notes via scripts/make-release-notes.ts and verifies every binary.
2026-09-17 17:49:19 +07:00

149 lines
5.9 KiB
TypeScript

import { createAnthropic } from '@ai-sdk/anthropic';
import { createOpenAI } from '@ai-sdk/openai';
import { createOpenAICompatible } from '@ai-sdk/openai-compatible';
import type { LanguageModel } from 'ai';
import { homedir } from 'node:os';
import { join } from 'node:path';
import { withFallback, type FallbackEvent } from './fallback';
import type { McpServerConfig } from './mcp';
import { parsePermissions, type PermissionConfig } from './permission';
import { isToolSetName, type ToolSetName } from './tools';
export type ProviderName = 'anthropic' | 'openai';
export type Config = {
provider: ProviderName;
model: string;
baseURL?: string;
apiKey?: string;
/** Preset id from providers.ts, kept so /provider can show what is configured. */
presetId?: string;
/** Retries per model call for transient failures. SDK default is 2. */
maxRetries?: number;
/** USD ceiling for a session's spend: warn at 80%, refuse the next turn at 100%. */
maxSpendUsd?: number;
/** Model id for subagents; omit to share the parent's. */
subagentModel?: string;
/** Default agent variant name. */
agent?: string;
/** Default thinking level. */
thinking?: string;
/** Plugin names to enable; omit for the default set. */
plugins?: string[];
/** Optional tool sets to offer beyond `core`; omit for all of them. */
toolSets?: ToolSetName[];
/** Which tool calls run, ask, or are refused. Omit for the defaults. */
permission?: PermissionConfig;
/** Index for `/registry`. Omit for the default one. */
registryUrl?: string;
mcpServers?: Record<string, McpServerConfig>;
/**
* How MCP tools reach the model: `lazy` registers meta-tools only (cheap until a
* tool is called), `eager` registers every server tool up front. Omit for lazy.
*/
mcpMode?: 'lazy' | 'eager';
};
const configPath = () => join(process.env['SHIRO_HOME'] ?? homedir(), '.shiro-neko', 'config.json');
const DEFAULT_MODEL: Record<ProviderName, string> = {
anthropic: 'claude-sonnet-4-5',
openai: 'gpt-5',
};
const DEFAULT_BASE_URL: Record<ProviderName, string> = {
anthropic: 'https://api.anthropic.com/v1',
openai: 'https://api.openai.com/v1',
};
/** Env key checked per provider when no explicit apiKey is configured. */
const ENV_KEY: Record<ProviderName, string> = {
anthropic: 'ANTHROPIC_API_KEY',
openai: 'OPENAI_API_KEY',
};
function isProvider(v: unknown): v is ProviderName {
return v === 'anthropic' || v === 'openai';
}
/** Raw file contents, without env overlay. Used when rewriting the file. */
export async function readConfigFile(): Promise<Partial<Config>> {
const f = Bun.file(configPath());
if (!(await f.exists())) return {};
try {
const parsed: unknown = await f.json();
return parsed && typeof parsed === 'object' ? (parsed as Partial<Config>) : {};
} catch {
throw new Error(`${configPath()} is not valid JSON`);
}
}
/** Merges patch into the config file, preserving unrelated keys such as mcpServers. */
export async function writeConfigFile(patch: Partial<Config>): Promise<string> {
const merged = { ...(await readConfigFile()), ...patch };
await Bun.write(configPath(), `${JSON.stringify(merged, null, 2)}\n`);
return configPath();
}
/** File config, then env overrides. Env wins so `SHIRO_MODEL=x shiro` works. */
export async function loadConfig(): Promise<Config> {
const file = await readConfigFile();
const envProvider = process.env['SHIRO_PROVIDER'];
const provider = isProvider(envProvider) ? envProvider : isProvider(file.provider) ? file.provider : 'anthropic';
return {
provider,
model: process.env['SHIRO_MODEL'] ?? file.model ?? DEFAULT_MODEL[provider],
baseURL: process.env['SHIRO_BASE_URL'] ?? file.baseURL ?? DEFAULT_BASE_URL[provider],
apiKey: process.env['SHIRO_API_KEY'] ?? file.apiKey ?? process.env[ENV_KEY[provider]],
...(file.presetId ? { presetId: file.presetId } : {}),
...(file.maxRetries !== undefined ? { maxRetries: file.maxRetries } : {}),
...(typeof file.maxSpendUsd === 'number' && file.maxSpendUsd > 0 ? { maxSpendUsd: file.maxSpendUsd } : {}),
...(file.subagentModel ? { subagentModel: file.subagentModel } : {}),
...(file.agent ? { agent: file.agent } : {}),
...(file.thinking ? { thinking: file.thinking } : {}),
...(Array.isArray(file.plugins) ? { plugins: file.plugins } : {}),
...(Array.isArray(file.toolSets) ? { toolSets: file.toolSets.filter(isToolSetName) } : {}),
...(() => {
const permission = parsePermissions(file.permission);
return permission ? { permission } : {};
})(),
...(typeof file.registryUrl === 'string' ? { registryUrl: file.registryUrl } : {}),
...(file.mcpServers ? { mcpServers: file.mcpServers } : {}),
};
}
export function missingKeyMessage(provider: ProviderName): string {
return `No API key for provider "${provider}". Run shiro and use /provider to set one, or set ${ENV_KEY[provider]} / SHIRO_API_KEY, or add "apiKey" to ${configPath()}`;
}
const isOfficialOpenAI = (baseURL: string | undefined) =>
!baseURL || /^https:\/\/api\.openai\.com(\/|$)/.test(baseURL);
/**
* Newer OpenAI reasoning models refuse function tools on /v1/chat/completions and
* demand /v1/responses. Rather than guess per model id, build both and let
* withFallback switch when the endpoint rejects the request shape.
*/
export function resolveModel(cfg: Config, onFallback?: (e: FallbackEvent) => void): LanguageModel {
if (!cfg.apiKey) throw new Error(missingKeyMessage(cfg.provider));
if (cfg.provider === 'anthropic') {
return createAnthropic({ apiKey: cfg.apiKey, baseURL: cfg.baseURL })(cfg.model);
}
const chat = createOpenAICompatible({
name: 'openai',
apiKey: cfg.apiKey,
baseURL: cfg.baseURL ?? DEFAULT_BASE_URL.openai,
})(cfg.model);
if (!isOfficialOpenAI(cfg.baseURL)) return chat;
const openai = createOpenAI({ apiKey: cfg.apiKey, baseURL: cfg.baseURL });
return withFallback([chat, openai.responses(cfg.model)], onFallback);
}
export { configPath, ENV_KEY };