import { z } from 'zod';
import packageJson from '../package.json' with { type: 'json' };
// Defaults (some can be overridden via env)
const DEFAULT_LLM_TIMEOUT_MS = 15000;
export const MAX_PROMPT_LENGTH = 10000;
export const MAX_OUTPUT_TOKENS = 10000;
export const RETRY_MAX_ATTEMPTS = 3;
export const RETRY_BASE_DELAY_MS = 1000;
export const RETRY_MAX_DELAY_MS = 10000;
export const RETRY_TOTAL_TIMEOUT_MS = 180000;
const booleanString = z
.stringbool({ truthy: ['true'], falsy: ['false'] })
.optional()
.default(false);
const envSchema = z.object({
DEBUG: booleanString,
LLM_PROVIDER: z
.enum(['openai', 'anthropic', 'google'])
.optional()
.default('openai'),
LLM_MODEL: z.string().optional(),
LLM_TIMEOUT_MS: z.coerce
.number()
.int()
.positive()
.optional()
.default(DEFAULT_LLM_TIMEOUT_MS),
OPENAI_API_KEY: z.string().optional(),
ANTHROPIC_API_KEY: z.string().optional(),
GOOGLE_API_KEY: z.string().optional(),
});
export const config = envSchema.parse(process.env);
export const { LLM_TIMEOUT_MS } = config;
export const SERVER_NAME = 'prompttuner-mcp';
export const { version: SERVER_VERSION } = packageJson;
export const SERVER_INSTRUCTIONS = `# PromptTuner MCP
A lean prompt editing toolkit.
## Tools
### fix_prompt
Polish and refine a prompt for better clarity, readability, and flow.
**Input:**
\`\`\`json
{ "prompt": "..." }
\`\`\`
### boost_prompt
Transform a prompt using prompt engineering best practices for maximum clarity and effectiveness.
**Input:**
\`\`\`json
{ "prompt": "..." }
\`\`\`
### crafting_prompt
Generate a structured, reusable workflow prompt for complex tasks based on a raw request and a few settings.
**Input:**
\`\`\`json
{
"request": "...",
"constraints": "...",
"mode": "general|plan|review|troubleshoot",
"approach": "conservative|balanced|creative",
"tone": "direct|neutral|friendly",
"verbosity": "brief|normal|detailed"
}
\`\`\`
`;
export const DEFAULT_MODELS = {
openai: 'gpt-4o',
anthropic: 'claude-3-5-sonnet-20241022',
google: 'gemini-2.0-flash-exp',
} as const;
