Claude Code OriginStartAI Starter

Run a first OriginStartAI OpenAI-compatible API call from a Claude Code workflow, then turn the working call into product code.

This starter is for terminal-first developers who want a tiny repo Claude Code can inspect, modify, and extend without pulling in a heavy SDK or framework.

30-Second First Call

1. Create an account: https://originstartai.com?utm_source=github&utm_medium=repo&utm_campaign=claude_code_starter
2. Create an API key in the OriginStartAI console.
3. Copy .env.example to .env.
4. Set ORIGINSTARTAI_API_KEY, ORIGINSTARTAI_BASE_URL, and ORIGINSTARTAI_MODEL.
5. Run Python or Node.js:

python examples/python/first_call.py

node examples/node/first_call.mjs

New user bonus: after your first call works, recharge $5 and get $5 extra API credits to test a real workflow.

Copyable curl Check

Use curl first when you only want to confirm that the API key, base URL, and model are valid:

curl "$ORIGINSTARTAI_BASE_URL/chat/completions" \
  -H "Authorization: Bearer $ORIGINSTARTAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "'"$ORIGINSTARTAI_MODEL"'",
    "messages": [
      {"role": "user", "content": "Say hello from OriginStartAI"}
    ]
  }'

Why Developers Use This

• Claude Code friendly project layout.
• OpenAI-compatible request shape.
• Python and Node.js first-call examples.
• Minimal files that are easy to copy into an existing app.
• Clear next step from first call to a small paid production-style test.

Claude Code Workflow

Open this repo in Claude Code and use one of these prompts after the first call succeeds:

Add a product support reply example using the existing OriginStartAI client style.

Convert this single API call into a reusable helper with retries and clear error messages.

Add a streaming example that prints tokens as they arrive and handles timeout errors.

If The First Call Fails

Symptom	Check
401 Unauthorized	Confirm the API key in .env is current and has no extra spaces.
insufficient credits	Recharge in the OriginStartAI console, then retry the same command.
model not found	Copy the enabled model name from the console into ORIGINSTARTAI_MODEL.
timeout	Retry with a shorter prompt, then add retry and timeout handling before production use.

Environment

ORIGINSTARTAI_API_KEY=your_api_key_here
ORIGINSTARTAI_BASE_URL=https://YOUR_PUBLIC_API_BASE_URL/v1
ORIGINSTARTAI_MODEL=YOUR_ENABLED_MODEL

Do not commit .env or real API keys.

Production Trust Checks

After the first call works, use the companion trust assets before moving a coding workflow into production:

• Estimate monthly spend with ai-api-cost-calculator.
• Measure latency and success rate with ai-gateway-benchmark.
• Add a lightweight health check with originstart-status-examples.

This path keeps the workflow practical: first call, cost estimate, benchmark, health check, then production usage.

Docs

• First call guide
• Troubleshooting
• Recharge and credits
• Claude Code task prompts

Search Topics

• Claude Code API starter.
• OpenAI-compatible API starter.
• AI API first call.
• Chat completions from terminal.
• LLM workflow starter.

Links

• Website: https://originstartai.com?utm_source=github&utm_medium=repo&utm_campaign=claude_code_starter
• Support: support@originstartai.com