Cehpoint AI API

Zero-friction chat completions. No auth. One model. Unlimited possibilities.

No API key Streaming Public

Endpoint

POST https://ai-api.cehpoint.co.in/v1/chat/completions

Send requests to this URL. No authentication headers needed. Just Content-Type: application/json and your messages.

Tests Passed

Use Cases

Languages

Auth Required

Model

Model	Description
`cehpoint-ai`	The only model — smart, fast, general-purpose. Use it for everything.

Tip: Always set "model": "cehpoint-ai" in your requests. Other models will return a 400 error.

Request Parameters

Param	Type	Default	Required	Description
`model`	string	—	Yes	`cehpoint-ai`
`messages`	array	—	Yes	Array of `{role, content}` objects
`temperature`	number	1.0	No	0–2. Lower = more precise
`max_tokens`	number	4096	No	Max response length
`stream`	bool	false	No	SSE streaming

The only two things you must send are model and messages. Everything else is optional.

Message Roles

Role	Purpose
`system`	Sets assistant behavior and constraints
`user`	Your questions or instructions
`assistant`	Previous AI replies for multi-turn context

Use system to control personality/tone. Use assistant for follow-up conversations.

Response Format

{
  // standard chat completion response
  "model": "cehpoint-ai",
  "provider": "ai-api.cehpoint.co.in",
  "choices": [{
    "message": { "content": "Hello!" },
    "finish_reason": "stop"
  }],
  "usage": { "total_tokens": 52 }
}

Standard JSON response structure. The provider field is set to our domain. model is always cehpoint-ai.

Error Codes

Code	Cause
`400`	Missing or unknown model — make sure `model` is `cehpoint-ai`
`502`	Upstream provider unavailable — try again in a few seconds

Limits

Limit	Value
Max tokens per response	4096
Rate limit	None enforced (please use responsibly)
Authentication	None required

Use Cases

Every example below was tested live against the API. Pick a category, copy the code, and run it.

General

Engineering

Support

Business

Content

Data

Healthcare

General Knowledge — Quantum Computing

curl

Tested

Ask the AI to explain quantum computing in simple terms. This is the most basic kind of prompt — just a direct question.

curl https://ai-api.cehpoint.co.in/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cehpoint-ai",
    "messages": [{"role": "user", "content": "Explain quantum computing in 3 sentences."}]
  }'

import requests

resp = requests.post(
    "https://ai-api.cehpoint.co.in/v1/chat/completions",
    json={
        "model": "cehpoint-ai",
        "messages": [{"role": "user", "content": "Explain quantum computing in 3 sentences."}]
    },
)
print(resp.json()["choices"][0]["message"]["content"])

const resp = await fetch("https://ai-api.cehpoint.co.in/v1/chat/completions", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    model: "cehpoint-ai",
    messages: [{ role: "user", content: "Explain quantum computing in 3 sentences." }],
  }),
});
const data = await resp.json();
console.log(data.choices[0].message.content);

from openai import OpenAI

client = OpenAI(
    base_url="https://ai-api.cehpoint.co.in/v1",
    api_key="x",
)

resp = client.chat.completions.create(
    model="cehpoint-ai",
    messages=[{"role": "user", "content": "Explain quantum computing in 3 sentences."}],
)
print(resp.choices[0].message.content)

Python — Banking Class

curl

Tested

Generate a working Python class with deposit, withdraw, and balance check methods — including error handling. Great for code generation testing.

curl https://ai-api.cehpoint.co.in/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cehpoint-ai",
    "messages": [{"role": "user", "content": "Write a Python class for a banking account with deposit, withdraw, and balance check. Include error handling."}]
  }'

import requests

resp = requests.post(
    "https://ai-api.cehpoint.co.in/v1/chat/completions",
    json={
        "model": "cehpoint-ai",
        "messages": [{"role": "user", "content": "Write a Python class for a banking account with deposit, withdraw, and balance check. Include error handling."}]
    },
)
print(resp.json()["choices"][0]["message"]["content"])

const resp = await fetch("https://ai-api.cehpoint.co.in/v1/chat/completions", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    model: "cehpoint-ai",
    messages: [{ role: "user", content: "Write a Python class for a banking account with deposit, withdraw, and balance check. Include error handling." }],
  }),
});
const data = await resp.json();
console.log(data.choices[0].message.content);

from openai import OpenAI

client = OpenAI(
    base_url="https://ai-api.cehpoint.co.in/v1",
    api_key="x",
)

resp = client.chat.completions.create(
    model="cehpoint-ai",
    messages=[{"role": "user", "content": "Write a Python class for a banking account with deposit, withdraw, and balance check. Include error handling."}],
)
print(resp.choices[0].message.content)

Order Issue Support

curl

Tested

Use a system prompt to set the AI's role as a friendly support agent. Then ask about a late order. Great template for customer service chatbots.

curl https://ai-api.cehpoint.co.in/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cehpoint-ai",
    "messages": [
      {"role": "system", "content": "You are a friendly support agent."},
      {"role": "user", "content": "My order has not arrived yet."}
    ]
  }'

import requests

resp = requests.post(
    "https://ai-api.cehpoint.co.in/v1/chat/completions",
    json={
        "model": "cehpoint-ai",
        "messages": [
            {"role": "system", "content": "You are a friendly support agent."},
            {"role": "user", "content": "My order has not arrived yet."}
        ]
    },
)
print(resp.json()["choices"][0]["message"]["content"])

const resp = await fetch("https://ai-api.cehpoint.co.in/v1/chat/completions", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    model: "cehpoint-ai",
    messages: [
      { role: "system", content: "You are a friendly support agent." },
      { role: "user", content: "My order has not arrived yet." }
    ],
  }),
});
const data = await resp.json();
console.log(data.choices[0].message.content);

from openai import OpenAI

client = OpenAI(
    base_url="https://ai-api.cehpoint.co.in/v1",
    api_key="x",
)

resp = client.chat.completions.create(
    model="cehpoint-ai",
    messages=[
        {"role": "system", "content": "You are a friendly support agent."},
        {"role": "user", "content": "My order has not arrived yet."}
    ],
)
print(resp.choices[0].message.content)

Business Email

curl

Tested

Generate a professional email apologizing for a delayed delivery. Great for automating customer communications — just plug in your details.

curl https://ai-api.cehpoint.co.in/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cehpoint-ai",
    "messages": [{"role": "user", "content": "Write a professional email apologizing for a delayed delivery and offering a 10% discount."}]
  }'

import requests

resp = requests.post(
    "https://ai-api.cehpoint.co.in/v1/chat/completions",
    json={
        "model": "cehpoint-ai",
        "messages": [{"role": "user", "content": "Write a professional email apologizing for a delayed delivery and offering a 10% discount."}]
    },
)
print(resp.json()["choices"][0]["message"]["content"])

const resp = await fetch("https://ai-api.cehpoint.co.in/v1/chat/completions", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    model: "cehpoint-ai",
    messages: [{ role: "user", content: "Write a professional email apologizing for a delayed delivery and offering a 10% discount." }],
  }),
});
const data = await resp.json();
console.log(data.choices[0].message.content);

from openai import OpenAI

client = OpenAI(
    base_url="https://ai-api.cehpoint.co.in/v1",
    api_key="x",
)

resp = client.chat.completions.create(
    model="cehpoint-ai",
    messages=[{"role": "user", "content": "Write a professional email apologizing for a delayed delivery and offering a 10% discount."}],
)
print(resp.choices[0].message.content)

Product Description

curl

Tested

Generate a compelling product description for a premium leather wallet. Great for e-commerce content automation.

curl https://ai-api.cehpoint.co.in/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cehpoint-ai",
    "messages": [{"role": "user", "content": "Write a 50-word product description for a premium leather wallet."}]
  }'

import requests

resp = requests.post(
    "https://ai-api.cehpoint.co.in/v1/chat/completions",
    json={
        "model": "cehpoint-ai",
        "messages": [{"role": "user", "content": "Write a 50-word product description for a premium leather wallet."}]
    },
)
print(resp.json()["choices"][0]["message"]["content"])

const resp = await fetch("https://ai-api.cehpoint.co.in/v1/chat/completions", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    model: "cehpoint-ai",
    messages: [{ role: "user", content: "Write a 50-word product description for a premium leather wallet." }],
  }),
});
const data = await resp.json();
console.log(data.choices[0].message.content);

from openai import OpenAI

client = OpenAI(
    base_url="https://ai-api.cehpoint.co.in/v1",
    api_key="x",
)

resp = client.chat.completions.create(
    model="cehpoint-ai",
    messages=[{"role": "user", "content": "Write a 50-word product description for a premium leather wallet."}],
)
print(resp.choices[0].message.content)

Data Extraction — JSON

curl

Tested

Ask the AI to extract structured data from unstructured text and return it as JSON. Perfect for parsing invoices, receipts, or forms.

curl https://ai-api.cehpoint.co.in/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cehpoint-ai",
    "messages": [{"role": "user", "content": "Extract names, dates, amounts as JSON: John paid $150 on March 5th, Sarah paid $75 on March 12th."}]
  }'

import requests

resp = requests.post(
    "https://ai-api.cehpoint.co.in/v1/chat/completions",
    json={
        "model": "cehpoint-ai",
        "messages": [{"role": "user", "content": "Extract names, dates, amounts as JSON: John paid $150 on March 5th, Sarah paid $75 on March 12th."}]
    },
)
print(resp.json()["choices"][0]["message"]["content"])

const resp = await fetch("https://ai-api.cehpoint.co.in/v1/chat/completions", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    model: "cehpoint-ai",
    messages: [{ role: "user", content: "Extract names, dates, amounts as JSON: John paid $150 on March 5th, Sarah paid $75 on March 12th." }],
  }),
});
const data = await resp.json();
console.log(data.choices[0].message.content);

from openai import OpenAI

client = OpenAI(
    base_url="https://ai-api.cehpoint.co.in/v1",
    api_key="x",
)

resp = client.chat.completions.create(
    model="cehpoint-ai",
    messages=[{"role": "user", "content": "Extract names, dates, amounts as JSON: John paid $150 on March 5th, Sarah paid $75 on March 12th."}],
)
print(resp.choices[0].message.content)

AI in Healthcare

curl

Tested

Ask the AI to list AI applications in healthcare diagnostics. Great for research, presentations, or educational content.

curl https://ai-api.cehpoint.co.in/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cehpoint-ai",
    "messages": [{"role": "user", "content": "List 3 AI applications in healthcare diagnostics."}]
  }'

import requests

resp = requests.post(
    "https://ai-api.cehpoint.co.in/v1/chat/completions",
    json={
        "model": "cehpoint-ai",
        "messages": [{"role": "user", "content": "List 3 AI applications in healthcare diagnostics."}]
    },
)
print(resp.json()["choices"][0]["message"]["content"])

const resp = await fetch("https://ai-api.cehpoint.co.in/v1/chat/completions", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    model: "cehpoint-ai",
    messages: [{ role: "user", content: "List 3 AI applications in healthcare diagnostics." }],
  }),
});
const data = await resp.json();
console.log(data.choices[0].message.content);

from openai import OpenAI

client = OpenAI(
    base_url="https://ai-api.cehpoint.co.in/v1",
    api_key="x",
)

resp = client.chat.completions.create(
    model="cehpoint-ai",
    messages=[{"role": "user", "content": "List 3 AI applications in healthcare diagnostics."}],
)
print(resp.choices[0].message.content)

50 Complete Examples

✨

cURL

curl https://ai-api.cehpoint.co.in/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cehpoint-ai",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Python

import requests

resp = requests.post(
    "https://ai-api.cehpoint.co.in/v1/chat/completions",
    json={"model": "cehpoint-ai", "messages": [{"role": "user", "content": "Hello!"}]},
)
print(resp.json()["choices"][0]["message"]["content"])

JavaScript (Fetch)

const resp = await fetch("https://ai-api.cehpoint.co.in/v1/chat/completions", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    model: "cehpoint-ai",
    messages: [{ role: "user", content: "Hello!" }],
  }),
});
const data = await resp.json();
console.log(data.choices[0].message.content);

OpenAI Python SDK

from openai import OpenAI

client = OpenAI(
    base_url="https://ai-api.cehpoint.co.in/v1",
    api_key="x",
)

resp = client.chat.completions.create(
    model="cehpoint-ai",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)

Tip Use the OpenAI Python SDK — just set base_url to our endpoint and anything as api_key. No token needed.