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btca-server

v1.0.70

Published

BTCA server for answering questions about your codebase using OpenCode AI

Readme

btca-server

BTCA (Better Context AI) server for answering questions about your codebase using OpenCode AI.

Installation

bun add btca-server

Usage

Starting the Server

import { startServer } from 'btca-server';

// Start with default options (port 8080 or process.env.PORT)
const server = await startServer();
console.log(`Server running at ${server.url}`);

// Start with custom port
const server = await startServer({ port: 3000 });

// Start with quiet mode (no logging)
const server = await startServer({ port: 3000, quiet: true });

// Stop the server when needed
server.stop();

Server Instance

The startServer function returns a ServerInstance object:

interface ServerInstance {
	port: number; // Actual port the server is running on
	url: string; // Full URL (e.g., "http://localhost:8080")
	stop: () => void; // Function to stop the server
}

Random Port Assignment

You can pass port: 0 to let the OS assign a random available port:

const server = await startServer({ port: 0 });
console.log(`Server running on port ${server.port}`);

API Endpoints

Once the server is running, it exposes the following REST API endpoints:

Health Check

GET /

Returns service status and version info.

Configuration

GET /config

Returns current configuration (provider, model, resources).

Resources

GET /resources

Lists all configured resources (local directories or git repositories).

POST /config/resources

Add a new resource (git or local).

DELETE /config/resources

Remove a resource by name.

POST /clear

Clear all locally cloned resources.

Questions

POST /question

Ask a question (non-streaming response).

POST /question/stream

Ask a question with streaming SSE response.

OpenCode Instance

POST /opencode

Get an OpenCode instance URL for a collection of resources.

Model Configuration

PUT /config/model

Update the AI provider and model configuration.

Configuration

The server reads configuration from ~/.btca/config.toml or your local project's .btca/config.toml. You'll need to configure:

  • AI Provider: OpenCode AI provider (e.g., "anthropic")
  • Model: AI model to use (e.g., "claude-3-7-sonnet-20250219")
  • Resources: Local directories or git repositories to query

Example config.toml:

provider = "anthropic"
model = "claude-3-7-sonnet-20250219"
resourcesDirectory = "~/.btca/resources"

[[resources]]
type = "local"
name = "my-project"
path = "/path/to/my/project"

[[resources]]
type = "git"
name = "some-repo"
url = "https://github.com/user/repo"
branch = "main"

Environment Variables

  • PORT: Server port (default: 8080)
  • OPENCODE_API_KEY: OpenCode AI API key (required)

TypeScript Types

The package exports TypeScript types for use with Hono RPC client:

import type { AppType } from 'btca-server';
import { hc } from 'hono/client';

const client = hc<AppType>('http://localhost:8080');

Stream Types

For working with SSE streaming responses:

import type { BtcaStreamEvent, BtcaStreamMetaEvent } from 'btca-server/stream/types';

Requirements

  • Bun: >= 1.1.0 (this package is designed specifically for Bun runtime)
  • OpenCode AI API Key: Required for AI functionality

License

MIT

Repository

https://github.com/bmdavis419/better-context