> ## Documentation Index
> Fetch the complete documentation index at: https://docs.teamsoclo.site/llms.txt
> Use this file to discover all available pages before exploring further.

# cURL / Python / Node.js

> आधिकारिक OpenAI लाइब्रेरी से API सीधे कॉल करें

हर official OpenAI library काम करती है; केवल `base_url` बदलती है। Examples `gpt-5.6-sol` उपयोग करते हैं; Astra package के लिए `gpt-astra` use करें।

## Chat Completions

<CodeGroup>
  ```bash cURL theme={null}
  curl https://gpt.teamsoclo.site/v1/chat/completions \
    -H "Authorization: Bearer sk-xxx" \
    -H "Content-Type: application/json" \
    -d '{
      "model": "gpt-5.6-sol",
      "messages": [
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain closures in JavaScript"}
      ]
    }'
  ```

  ```python Python theme={null}
  from openai import OpenAI

  client = OpenAI(
      api_key="sk-xxx",
      base_url="https://gpt.teamsoclo.site/v1",
  )

  resp = client.chat.completions.create(
      model="gpt-5.6-sol",
      messages=[
          {"role": "system", "content": "You are a helpful assistant."},
          {"role": "user", "content": "Explain closures in JavaScript"},
      ],
  )

  print(resp.choices[0].message.content)
  print(resp.usage)
  ```

  ```javascript Node.js theme={null}
  import OpenAI from "openai"

  const client = new OpenAI({
    apiKey: "sk-xxx",
    baseURL: "https://gpt.teamsoclo.site/v1",
  })

  const resp = await client.chat.completions.create({
    model: "gpt-5.6-sol",
    messages: [
      { role: "system", content: "You are a helpful assistant." },
      { role: "user", content: "Explain closures in JavaScript" },
    ],
  })

  console.log(resp.choices[0].message.content)
  console.log(resp.usage)
  ```
</CodeGroup>

<Warning>
  `base_url` में `/v1` शामिल होना चाहिए और `/` से खत्म **नहीं** होनी चाहिए। Library खुद `/chat/completions` जोड़ती है।
</Warning>

Responses OpenAI schema को बिल्कुल follow करती हैं: `id` है `chatcmpl-...`, `usage` में `prompt_tokens`, `completion_tokens` और `completion_tokens_details.reasoning_tokens` हैं। Quota ठीक `usage.total_tokens` से लिया जाता है।

## Responses API

Codex और नए SDKs इस protocol का उपयोग करते हैं। Reasoning setting `reasoning.effort` में है।

<CodeGroup>
  ```bash cURL theme={null}
  curl https://gpt.teamsoclo.site/v1/responses \
    -H "Authorization: Bearer sk-xxx" \
    -H "Content-Type: application/json" \
    -d '{
      "model": "gpt-5.6-sol",
      "input": "Write a Python function that checks for primes",
      "reasoning": {"effort": "medium"}
    }'
  ```

  ```python Python theme={null}
  resp = client.responses.create(
      model="gpt-5.6-sol",
      input="Write a Python function that checks for primes",
      reasoning={"effort": "medium"},
  )
  print(resp.output_text)
  ```
</CodeGroup>

## Reasoning effort

Chat Completions के साथ `reasoning_effort` (`low`, `medium`, `high`) use करें। Set न होने पर gateway `high` use करता है। Simple tasks के लिए token बचाने हेतु `low` set करें:

```python theme={null}
resp = client.chat.completions.create(
    model="gpt-5.6-sol",
    reasoning_effort="low",
    messages=[{"role": "user", "content": "Translate to French: good morning"}],
)
```

<Warning>
  `reasoning_effort` केवल Chat Completions के लिए है। Responses API के साथ `reasoning: {"effort": ...}` use करें; `/v1/responses` को `reasoning_effort` भेजने पर "Unsupported parameter" से reject होगा।
</Warning>

## Streaming

<CodeGroup>
  ```python Python theme={null}
  stream = client.chat.completions.create(
      model="gpt-5.6-sol",
      messages=[{"role": "user", "content": "Write a short paragraph about autumn"}],
      stream=True,
      stream_options={"include_usage": True},
  )

  for chunk in stream:
      if chunk.choices and chunk.choices[0].delta.content:
          print(chunk.choices[0].delta.content, end="", flush=True)
      if chunk.usage:
          print("\n", chunk.usage)
  ```

  ```bash cURL theme={null}
  curl https://gpt.teamsoclo.site/v1/chat/completions \
    -H "Authorization: Bearer sk-xxx" \
    -H "Content-Type: application/json" \
    -d '{
      "model": "gpt-5.6-sol",
      "messages": [{"role": "user", "content": "Write a short paragraph about autumn"}],
      "stream": true,
      "stream_options": {"include_usage": true}
    }'
  ```
</CodeGroup>

<Tip>
  कठिन सवालों पर model पहले token से पहले थोड़ा सोच सकता है। Connection drop न हो इसलिए `stream: true` use करें। `stream_options.include_usage` आखिरी chunk में `usage` शामिल करता है ताकि आप खुद quota reconcile कर सकें।
</Tip>

## Images भेजना (vision)

Images `content` array में जाती हैं, public URL या local files के लिए base64 के रूप में।

<CodeGroup>
  ```python Image URL theme={null}
  resp = client.chat.completions.create(
      model="gpt-5.6-sol",
      messages=[{
          "role": "user",
          "content": [
              {"type": "text", "text": "What error does this show?"},
              {"type": "image_url", "image_url": {"url": "https://example.com/screenshot.png"}},
          ],
      }],
  )
  print(resp.choices[0].message.content)
  ```

  ```python Local file (base64) theme={null}
  import base64

  with open("screenshot.png", "rb") as f:
      b64 = base64.b64encode(f.read()).decode()

  resp = client.chat.completions.create(
      model="gpt-5.6-sol",
      messages=[{
          "role": "user",
          "content": [
              {"type": "text", "text": "What error does this show?"},
              {"type": "image_url", "image_url": {"url": f"data:image/png;base64,{b64}"}},
          ],
      }],
  )
  print(resp.choices[0].message.content)
  ```
</CodeGroup>

<Warning>
  Images size के हिसाब से tokens खर्च करती हैं। पूरा 4K screenshot भेजने की बजाय relevant part crop करें।
</Warning>

## API के ज़रिए Models और quota

```bash theme={null}
# इस key से call हो सकने वाले models
curl https://gpt.teamsoclo.site/v1/models -H "Authorization: Bearer sk-xxx"

# Quota (legacy OpenAI endpoints)
curl https://gpt.teamsoclo.site/v1/dashboard/billing/subscription -H "Authorization: Bearer sk-xxx"
curl https://gpt.teamsoclo.site/v1/dashboard/billing/usage -H "Authorization: Bearer sk-xxx"
```

`subscription` `hard_limit_usd` में total return करता है; `usage` `total_usage` में use किया गया **cents** में return करता है (compare करने से पहले 100 से divide करें)। [Check page](https://gpt.teamsoclo.site/check) यह आपके लिए करता है।


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