### Launch full interactive Claude Code session

Source: https://kiosapi.mintlify.app/tutorials/claude-code

Start a full interactive session with Claude Code after verifying the setup.

```bash
claude
```

--------------------------------

### Install asyncio and aiohttp

Source: https://kiosapi.mintlify.app/getting-started/concurrency

Install the required packages for high-concurrency workloads. Use aiohttp instead of httpx for better performance.

```bash
pip install asyncio aiohttp

```

--------------------------------

### Node.js: Install OpenAI SDK with npm

Source: https://kiosapi.mintlify.app/getting-started/openai-sdk

Installs the official OpenAI Node.js package using npm.

```bash
npm install openai
```

--------------------------------

### Response for GET /v1/models/{model}

Source: https://kiosapi.mintlify.app/api-reference/models/list-single-model

Example response for a successful GET /v1/models/{model} request. Returns the model's id, object type (always "model"), created timestamp, and owned_by provider.

```json
{
  "id": "gemini-2.0-flash",
  "object": "model",
  "created": 1686935002,
  "owned_by": "google"
}
```

--------------------------------

### Install Codex CLI via npm

Source: https://kiosapi.mintlify.app/tutorials/codex

Install the Codex CLI globally using npm.

```bash
npm i -g @openai/codex
```

--------------------------------

### Install OpenClaw with npm or Bun

Source: https://kiosapi.mintlify.app/tutorials/openclaw

Install OpenClaw globally using either npm or Bun. Choose the tab that matches your package manager.

```bash
npm install -g openclaw
```

```bash
bun install -g openclaw
```

--------------------------------

### OpenClaw usage examples

Source: https://kiosapi.mintlify.app/tutorials/openclaw

Usage examples for OpenClaw: interactive mode, direct question, and specifying a model with the --model flag.

```bash
openclaw
```

```bash
openclaw "Create a React component for a todo list"
```

```bash
openclaw --model claude-sonnet-4-6 "Refactor this function"
```

--------------------------------

### Verify OpenClaw installation

Source: https://kiosapi.mintlify.app/tutorials/openclaw

Verify the OpenClaw installation by checking its version.

```bash
openclaw --version
```

--------------------------------

### Install Codex CLI via Homebrew

Source: https://kiosapi.mintlify.app/tutorials/codex

Install the Codex CLI on macOS or Linux using Homebrew.

```bash
brew install codex
```

--------------------------------

### Python: Install OpenAI SDK with pip

Source: https://kiosapi.mintlify.app/getting-started/openai-sdk

Installs the official OpenAI Python package. The base URL must include the /v1/ suffix with a trailing slash.

```bash
pip install openai
```

--------------------------------

### Verify CC Switch installation

Source: https://kiosapi.mintlify.app/tutorials/cc-switch

Checks the installed version of CC Switch to confirm installation.

```bash
cc-switch --version
```

--------------------------------

### Verify Codex CLI installation

Source: https://kiosapi.mintlify.app/tutorials/codex

Check the installed version of the Codex CLI.

```bash
codex --version
```

--------------------------------

### Verify OpenClaw setup

Source: https://kiosapi.mintlify.app/tutorials/openclaw

Run a quick test to confirm OpenClaw is connected to KiosAPI. If OpenClaw responds, the configuration is working.

```bash
openclaw "Say hello"
```

--------------------------------

### Python Request for o1-mini

Source: https://kiosapi.mintlify.app/api-reference/chat/o1-o3

Example of using the OpenAI Python client to interact with the o1-mini model on KiosAPI.

```python
import openai

openai.api_key = "sk-xxx"
openai.base_url = "https://kiosapi.com/v1/"

response = openai.chat.completions.create(
    model="o1-mini",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
    max_completion_tokens=1688,
    stream=False
)

print(response.choices[0].message.content)
```

--------------------------------

### Response JSON for account details

Source: https://kiosapi.mintlify.app/token-management/account

Example response object containing account ID, username, balance, usage, and creation timestamp.

```json
{
  "id": "user-xxx",
  "username": "your-email@example.com",
  "balance": 10.50,
  "used": 3.25,
  "created_at": 1686935002
}
```

--------------------------------

### Install CC Switch globally via npm

Source: https://kiosapi.mintlify.app/tutorials/cc-switch

Installs CC Switch globally using npm. Requires Node.js 18+.

```bash
npm install -g cc-switch
```

--------------------------------

### Python Request for gpt-4o-all

Source: https://kiosapi.mintlify.app/api-reference/chat/gpt-4o-all

Example of using the OpenAI Python client to interact with the gpt-4o-all model for file analysis.

```python
import openai

openai.api_key = "sk-xxx"
openai.base_url = "https://kiosapi.com/v1/"

response = openai.chat.completions.create(
    model="gpt-4o-all",
    messages=[
        {
            "role": "user",
            "content": "https://example.com/api-doc.pdf What is the API for adding a domain?"
        }
    ],
    max_tokens=1688,
    temperature=0.5,
    stream=False
)

print(response.choices[0].message.content)
```

--------------------------------

### Python Request for gpt-4-all

Source: https://kiosapi.mintlify.app/api-reference/chat/gpt-4-all

Example of using the OpenAI Python client to interact with the gpt-4-all model for file analysis.

```python
import openai

openai.api_key = "sk-xxx"
openai.base_url = "https://kiosapi.com/v1/"

response = openai.chat.completions.create(
    model="gpt-4-all",
    messages=[
        {
            "role": "user",
            "content": "https://example.com/api-doc.pdf What is the API for adding a domain?"
        }
    ],
    max_tokens=1688,
    temperature=0.5,
    stream=False
)

print(response.choices[0].message.content)
```

--------------------------------

### cURL Request for Completions

Source: https://kiosapi.mintlify.app/api-reference/chat/completions

An example of how to send a POST request to the /v1/completions endpoint using cURL.

```bash
curl https://kiosapi.com/v1/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-xxx" \
  -d '{
    "model": "gpt-3.5-turbo-instruct",
    "prompt": "The weather is very nice today",
    "temperature": 0.7,
    "max_tokens": 100,
    "top_p": 1,
    "frequency_penalty": 0,
    "presence_penalty": 0
  }'
```

--------------------------------

### Install Claude Code CLI globally via npm

Source: https://kiosapi.mintlify.app/tutorials/claude-code

Install the Claude Code CLI globally using npm. Requires Node.js 18+.

```bash
npm install -g @anthropic-ai/claude-code
```

--------------------------------

### Chat Completion Request with cURL

Source: https://kiosapi.mintlify.app/api-reference/chat/general

Example of making a chat completion request using the cURL command-line tool.

```bash
curl https://kiosapi.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-xxx" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {
        "role": "user",
        "content": "Hello world!"
      }
    ],
    "max_tokens": 1688,
    "temperature": 0.5,
    "stream": false
  }'
```

--------------------------------

### Chat Completion Request with Python

Source: https://kiosapi.mintlify.app/api-reference/chat/general

Example of making a chat completion request using the OpenAI Python client library.

```python
import openai

openai.api_key = "sk-xxx"
openai.base_url = "https://kiosapi.com/v1/"

completion = openai.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "user", "content": "Hello world!"}
    ],
    max_tokens=1688,
    temperature=0.5,
    stream=False
)

print(completion.choices[0].message.content)
```

--------------------------------

### Send chat completion request via KiosAPI

Source: https://kiosapi.mintlify.app/

Creates a chat completion using the configured client with model gpt-4o-mini and prints the response content. This example follows the client setup and demonstrates a basic request.

```python
response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

```

--------------------------------

### Verify Claude Code installation

Source: https://kiosapi.mintlify.app/tutorials/claude-code

Check the installed Claude Code version to confirm the installation succeeded.

```bash
claude --version
```

--------------------------------

### Full example: concurrent requests with asyncio and aiohttp

Source: https://kiosapi.mintlify.app/getting-started/concurrency

Recommended pattern for high concurrency: a shared ClientSession for connection pooling, a Semaphore to cap in-flight requests, and a while True loop that continuously drains your prompt source until exhausted.

```python
import asyncio
import aiohttp
import json

# ---- Configuration ----
API_KEY = "sk-xxx"
BASE_URL = "https://kiosapi.com/v1/chat/completions"
MODEL = "gpt-4o-mini"
MAX_CONCURRENCY = 2000  # concurrent in-flight requests


async def create_completion(session, prompt):
    """Send a single chat completion request."""
    headers = {
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json",
    }
    payload = {
        "model": MODEL,
        "messages": [
            {"role": "user", "content": prompt},
        ],
    }

    async with session.post(BASE_URL, headers=headers, json=payload) as resp:
        data = await resp.json()
        return data["choices"][0]["message"]["content"]


async def main():
    # Shared session — reuse across all requests for connection pooling
    connector = aiohttp.TCPConnector(limit=MAX_CONCURRENCY)
    timeout = aiohttp.ClientTimeout(total=120)

    async with aiohttp.ClientSession(connector=connector, timeout=timeout) as session:
        semaphore = asyncio.Semaphore(MAX_CONCURRENCY)

        async def bounded_completion(prompt):
            async with semaphore:
                return await create_completion(session, prompt)

        # Example: continuously process a stream of prompts
        while True:
            # Replace this with your actual prompt source
            prompts = generate_prompts()  # e.g. read from a queue or file
            if not prompts:
                break

            tasks = [bounded_completion(p) for p in prompts]
            results = await asyncio.gather(*tasks, return_exceptions=True)

            for result in results:
                if isinstance(result, Exception):
                    print(f"Error: {result}")
                else:
                    print(result)


def generate_prompts():
    """Yield the next batch of prompts. Replace with your logic."""
    # Example: read from a file, message queue, or any iterable source
    return ["Summarize this article: ..."]


if __name__ == "__main__":
    asyncio.run(main())

```

--------------------------------

### Create ~/.codex/config.toml

Source: https://kiosapi.mintlify.app/tutorials/codex

Configure the KiosAPI provider and profile in the Codex configuration file. The wire_api setting must be set to responses and the base_url must include /v1.

```toml
[model_providers.kiloapi]
name = "KiloAPI"
base_url = "https://kiosapi.com/v1"
wire_api = "responses"
env_key = "KILOAPI_KEY"

[profiles.kiloapi]
model = "o4-mini"
model_provider = "kiloapi"
```

--------------------------------

### Python example using openai library

Source: https://kiosapi.mintlify.app/api-reference/embeddings/create

Uses the 'openai' Python package to create embeddings. Requires setting the API key and base URL to the Kios API. The response prints the first 5 dimensions of the embedding.

```python
import openai

openai.api_key = "sk-xxx"
openai.base_url = "https://kiosapi.com/v1/"

response = openai.embeddings.create(
    model="text-embedding-3-large",
    input="The weather is beautiful today"
)

print(response.data[0].embedding[:5])  # First 5 dimensions
```

--------------------------------

### API Response Format

Source: https://kiosapi.mintlify.app/api-reference/chat/gemini-native

Example of the JSON response structure returned by the API.

```json
{
  "id": "chatcmpl-xxx",
  "object": "chat.completion",
  "created": 1724972230,
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "I'm doing well, thank you for asking! How can I help you today?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 5,
    "completion_tokens": 15,
    "total_tokens": 20
  }
}
```

--------------------------------

### Pre-approve file permissions in .claude/settings.json

Source: https://kiosapi.mintlify.app/tutorials/claude-code

Add this JSON to .claude/settings.json to pre-approve read and write permissions for specified directories, reducing permission prompts.

```json
{
  "permissions": {
    "allow": ["Read(*)", "Write(src/**)", "Edit(src/**)"]
  }
}
```

--------------------------------

### Set environment variables for KiosAPI (macOS/Linux)

Source: https://kiosapi.mintlify.app/tutorials/cc-switch

Exports the base URL and auth token for KiosAPI in the shell profile. Replace 'sk-xxx' with your actual key.

```bash
export ANTHROPIC_BASE_URL="https://kiosapi.com"
export ANTHROPIC_AUTH_TOKEN="sk-xxx"
```

--------------------------------

### Moderation Response

Source: https://kiosapi.mintlify.app/api-reference/moderation/text

Example response from the text moderation API, showing the structure of the returned JSON object.

```APIDOC
## Moderation Response

### Description
Example response from the text moderation API, showing the structure of the returned JSON object.

### Response Example
```json
{
  "id": "modr-970d409ef3bef3b70c73d8232df86e7d",
  "model": "text-moderation-latest",
  "results": [
    {
      "flagged": true,
      "categories": {
        "sexual": false,
        "sexual/minors": false,
        "harassment": false,
        "harassment/threatening": false,
        "hate": false,
        "hate/threatening": false,
        "illicit": false,
        "illicit/violent": false,
        "self-harm": false,
        "self-harm/intent": false,
        "self-harm/instructions": false,
        "violence": true,
        "violence/graphic": false
      },
      "category_scores": {
        "sexual": 0.0000002341,
        "violence": 0.8599265510,
        "violence/graphic": 0.3770173639
      }
    }
  ]
}
```

### Response Fields
- **id** (string) - A unique identifier for this moderation request.
- **model** (string) - The moderation model that processed the request.
- **results** (array) - An array of moderation result objects, one per input.
  - **results[].flagged** (boolean) - `true` if the input triggered one or more policy categories; `false` otherwise. Use this as your primary pass/fail signal.
  - **results[].categories** (object) - A map of each of the 13 category names to a boolean. `true` means that category was triggered for the input.
  - **results[].category_scores** (object) - A map of category names to floating-point confidence scores. Higher values indicate higher model confidence that the category applies. You can use these scores to implement custom severity thresholds beyond the default boolean flags.
```

--------------------------------

### Moderation Request via cURL

Source: https://kiosapi.mintlify.app/api-reference/moderation/text

Example of how to perform a moderation check using the cURL command-line tool.

```bash
curl https://kiosapi.com/v1/moderations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-xxx" \
  -d '{
    "model": "text-moderation-latest",
    "input": "She is very beautiful, I like..."
  }'
```

--------------------------------

### Chat Completion Response Object

Source: https://kiosapi.mintlify.app/api-reference/chat/general

Example of a successful JSON response returned by the chat completion endpoint.

```json
{
  "id": "chatcmpl-A1iMgDLzZtUJ9QDpfqDLxKH0zfUnp",
  "object": "chat.completion",
  "created": 1724972230,
  "model": "gpt-4o-2024-05-13",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello there! How can I assist you today?",
        "refusal": null
      },
      "logprobs": null,
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 9,
    "completion_tokens": 10,
    "total_tokens": 19
  },
  "system_fingerprint": "fp_157b3831f5"
}
```

--------------------------------

### Verify Codex connection

Source: https://kiosapi.mintlify.app/tutorials/codex

Test the configuration by running a simple command or explicitly specifying the KiosAPI profile.

```bash
codex "Say hello"
```

```bash
codex --profile kiloapi "Say hello"
```

--------------------------------

### Claude API Response Object

Source: https://kiosapi.mintlify.app/api-reference/chat/claude-native

Example of the JSON response structure returned by the Claude native API.

```json
{
  "id": "msg_014AoBefsejHUjbdRntn7euw",
  "type": "message",
  "role": "assistant",
  "content": [
    {
      "type": "text",
      "text": "Hello! I'm Claude, an AI assistant. How can I help you today?"
    }
  ],
  "model": "claude-sonnet-4-6",
  "stop_reason": "end_turn",
  "stop_sequence": null,
  "usage": {
    "input_tokens": 12,
    "output_tokens": 38
  }
}
```

--------------------------------

### Python Web Search Request

Source: https://kiosapi.mintlify.app/api-reference/chat/gemini-openai

Python example using the OpenAI SDK to make a chat completion request with the gemini-2.5-flash-search model, which enables web search via the -search suffix.

```python
import openai

openai.api_key = "sk-xxx"
openai.base_url = "https://kiosapi.com/v1/"

response = openai.chat.completions.create(
    model="gemini-2.5-flash-search",
    messages=[{"role": "user", "content": "What is today's date?"}],
    max_tokens=1688,
    temperature=0.5,
    stream=False
)

print(response.choices[0].message.content)
```

--------------------------------

### Node.js: Configure OpenAI client for KiosAPI

Source: https://kiosapi.mintlify.app/getting-started/openai-sdk

Creates an OpenAI client instance with the KiosAPI base URL and API key. The base URL must include the /v1/ suffix with a trailing slash.

```javascript
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "sk-xxx",
  baseURL: "https://kiosapi.com/v1/",
});
```

--------------------------------

### Moderation Request via Python

Source: https://kiosapi.mintlify.app/api-reference/moderation/text

Example of how to perform a moderation check using the OpenAI Python client library.

```python
import openai

openai.api_key = "sk-xxx"
openai.base_url = "https://kiosapi.com/v1/"

response = openai.moderations.create(
    model="text-moderation-latest",
    input="She is very beautiful, I like..."
)

print(response.results[0].flagged)
```

--------------------------------

### Python Thinking Budget Configuration

Source: https://kiosapi.mintlify.app/api-reference/chat/gemini-openai

Python example showing how to configure a thinking budget for the gemini-2.5-flash model using the extra_body parameter with google.thinking_config. Sets include_thoughts to True and thinking_budget to 8192.

```python
response = openai.chat.completions.create(
    model="gemini-2.5-flash",
    messages=[{"role": "user", "content": "Complex reasoning task..."}],
    max_tokens=8000,
    extra_body={
        "google": {
            "thinking_config": {
                "include_thoughts": True,
                "thinking_budget": 8192
            }
        }
    }
)
```

--------------------------------

### Cache Control Configuration

Source: https://kiosapi.mintlify.app/api-reference/chat/claude-native

Example of adding a cache_control field to a document content object to enable server-side caching.

```json
{
  "type": "document",
  "source": {
    "type": "base64",
    "data": "JVBERi0xLjQK...",
    "media_type": "application/pdf"
  },
  "cache_control": {
    "type": "ephemeral"
  }
}
```

--------------------------------

### Store KiosAPI base URL and API key in .env file

Source: https://kiosapi.mintlify.app/api-base-url

Avoid hardcoding the base URL or API key in source code. Store them in a .env file and load them at runtime. The file defines KIOSAPI_BASE_URL and KIOSAPI_API_KEY.

```bash
# .env
KIOSAPI_BASE_URL=https://kiosapi.com/v1/
KIOSAPI_API_KEY=sk-kilo-xxxxxxxxxxxx
```

--------------------------------

### cURL (Chat)

Source: https://kiosapi.mintlify.app/api-reference/chat/claude-openai

Example cURL request to the chat completions endpoint for a standard chat interaction with a Claude model.

```APIDOC
## POST /v1/chat/completions

### Description
Sends a chat completion request to the KiosAPI endpoint using a Claude model.

### Method
POST

### Endpoint
https://kiosapi.com/v1/chat/completions

### Parameters
#### Request Body
- **model** (string) - Required - The model identifier, e.g., "claude-sonnet-4-6".
- **messages** (array) - Required - A list of message objects, each with a role and content.
- **max_tokens** (integer) - Optional - Maximum number of tokens to generate.
- **temperature** (number) - Optional - Sampling temperature.
- **stream** (boolean) - Optional - Whether to stream the response.

### Request Example
{
  "model": "claude-sonnet-4-6",
  "messages": [
    {
      "role": "user",
      "content": "Hello, who are you?"
    }
  ],
  "max_tokens": 1688,
  "temperature": 0.5,
  "stream": false
}

### Response
#### Success Response (200)
- **choices** (array) - The generated completion choices.
- **choices[].message** (object) - The message object containing the generated content.

#### Response Example
{
  "choices": [
    {
      "message": {
        "content": "I am Claude, an AI assistant."
      }
    }
  ]
}
```

--------------------------------

### cURL Request for gpt-4o-all

Source: https://kiosapi.mintlify.app/api-reference/chat/gpt-4o-all

Example of a POST request to the chat completions endpoint using cURL to analyze a PDF file.

```bash
curl https://kiosapi.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-xxx" \
  -d '{
    "model": "gpt-4o-all",
    "messages": [
      {
        "role": "user",
        "content": "https://example.com/api-doc.pdf What is the API for adding a domain?"
      }
    ],
    "max_tokens": 1688,
    "temperature": 0.5,
    "stream": false
  }'
```

--------------------------------

### Example JSON response

Source: https://kiosapi.mintlify.app/api-reference/models/list-models

A successful response returns an object with object set to "list" and a data array containing model objects with id, object, created, and owned_by fields.

```json
{
  "object": "list",
  "data": [
    {
      "id": "gpt-4o",
      "object": "model",
      "created": 1686935002,
      "owned_by": "openai"
    },
    {
      "id": "claude-sonnet-4-6",
      "object": "model",
      "created": 1686935002,
      "owned_by": "anthropic"
    }
  ]
}
```