mirror of
https://github.com/codeany-ai/open-agent-sdk-typescript.git
synced 2026-04-25 07:00:49 +09:00
idoubi
85dff47d74
- Add skill system with types, registry, SkillTool, and 5 bundled skills
(simplify, commit, review, debug, test)
- Integrate hooks into QueryEngine at 9 lifecycle points (SessionStart,
UserPromptSubmit, PreToolUse, PostToolUse, PostToolUseFailure,
PreCompact, PostCompact, Stop, SessionEnd)
- Add LLM provider abstraction supporting both Anthropic Messages API
and OpenAI Chat Completions API (works with GPT, DeepSeek, Qwen, etc.)
- Add CODEANY_API_TYPE env var ('anthropic-messages' | 'openai-completions')
with auto-detection from model name
- Remove all ANTHROPIC_* env var references, only support CODEANY_* prefix
- Add model pricing and context windows for OpenAI/DeepSeek models
- Remove direct @anthropic-ai/sdk dependency from all files except the
Anthropic provider (types.ts, engine.ts, etc. are now provider-agnostic)
- Add PermissionBehavior type export
- Bump version to 0.2.0
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
72 lines
2.3 KiB
TypeScript
72 lines
2.3 KiB
TypeScript
/**
|
|
* Example 14: OpenAI-Compatible Models
|
|
*
|
|
* Shows how to use the SDK with OpenAI's API or any OpenAI-compatible
|
|
* endpoint (e.g., DeepSeek, Qwen, vLLM, Ollama).
|
|
*
|
|
* Environment variables:
|
|
* CODEANY_API_KEY=sk-... # Your OpenAI API key
|
|
* CODEANY_BASE_URL=https://api.openai.com/v1 # Optional, defaults to OpenAI
|
|
* CODEANY_API_TYPE=openai-completions # Optional, auto-detected from model name
|
|
*
|
|
* Run: npx tsx examples/14-openai-compat.ts
|
|
*/
|
|
import { createAgent } from '../src/index.js'
|
|
|
|
async function main() {
|
|
console.log('--- Example 14: OpenAI-Compatible Models ---\n')
|
|
|
|
// Option 1: Explicit apiType
|
|
const agent = createAgent({
|
|
apiType: 'openai-completions',
|
|
model: process.env.CODEANY_MODEL || 'gpt-4o',
|
|
apiKey: process.env.CODEANY_API_KEY,
|
|
baseURL: process.env.CODEANY_BASE_URL || 'https://api.openai.com/v1',
|
|
maxTurns: 5,
|
|
})
|
|
|
|
console.log(`API Type: ${agent.getApiType()}`)
|
|
console.log(`Model: ${process.env.CODEANY_MODEL || 'gpt-4o'}\n`)
|
|
|
|
// Option 2: Auto-detected from model name (uncomment to try)
|
|
// const agent = createAgent({
|
|
// model: 'gpt-4o', // Auto-detects 'openai-completions'
|
|
// apiKey: process.env.CODEANY_API_KEY,
|
|
// })
|
|
|
|
// Option 3: DeepSeek example (uncomment to try)
|
|
// const agent = createAgent({
|
|
// model: 'deepseek-chat',
|
|
// apiKey: process.env.CODEANY_API_KEY,
|
|
// baseURL: 'https://api.deepseek.com/v1',
|
|
// })
|
|
|
|
// Option 4: Via environment variables only
|
|
// CODEANY_API_TYPE=openai-completions
|
|
// CODEANY_MODEL=gpt-4o
|
|
// CODEANY_API_KEY=sk-...
|
|
// CODEANY_BASE_URL=https://api.openai.com/v1
|
|
// const agent = createAgent()
|
|
|
|
for await (const event of agent.query('What is 2+2? Reply in one sentence.')) {
|
|
const msg = event as any
|
|
if (msg.type === 'assistant') {
|
|
for (const block of msg.message?.content || []) {
|
|
if (block.type === 'text' && block.text.trim()) {
|
|
console.log(`Assistant: ${block.text}`)
|
|
}
|
|
if (block.type === 'tool_use') {
|
|
console.log(`[Tool: ${block.name}] ${JSON.stringify(block.input)}`)
|
|
}
|
|
}
|
|
}
|
|
if (msg.type === 'result') {
|
|
console.log(`\n--- ${msg.subtype} (${msg.usage?.input_tokens}+${msg.usage?.output_tokens} tokens) ---`)
|
|
}
|
|
}
|
|
|
|
await agent.close()
|
|
}
|
|
|
|
main().catch(console.error)
|