# emglab-ai/Affine-5CJsNdES5WTK7JtdB8r1MXsDbmv7AZAQwk3jAWFa5UswySzD

> emglab-ai/Affine-5CJsNdES5WTK7JtdB8r1MXsDbmv7AZAQwk3jAWFa5UswySzD

This file is intended for AI coding agents wiring an application to this specific Chutes model.

## Important URLs

- Model page: https://chutes.ai/app/chute/emg-120-002-emglab-ai-affine-5cjsndes5wtk7jtdb8r1mxsdbmv7a
- Model llms.txt: https://chutes.ai/app/chute/emg-120-002-emglab-ai-affine-5cjsndes5wtk7jtdb8r1mxsdbmv7a/llms.txt
- Global Chutes llms.txt: https://chutes.ai/llms.txt
- Full Chutes docs export: https://chutes.ai/llms-full.txt
- OpenAPI schema: https://api.chutes.ai/openapi.json

## Model Identifiers

- Name: `emglab-ai/Affine-5CJsNdES5WTK7JtdB8r1MXsDbmv7AZAQwk3jAWFa5UswySzD`
- Chute ID: `5cec4a7f-8b02-5571-b780-1c3441d7474f`
- Slug: `emg-120-002-emglab-ai-affine-5cjsndes5wtk7jtdb8r1mxsdbmv7a`
- Owner: `emg_120_002`

## Authentication

- Use `Authorization: Bearer $CHUTES_API_KEY` for inference calls.
- Send JSON request bodies with `Content-Type: application/json` unless the endpoint documentation says otherwise.
- The request body is FLAT — send the request fields at the top level (no `input_args`/`args` wrapper).
- This model is served on the shared OpenAI-compatible gateway. Set the request `model` field to the exact Name above (`emglab-ai/Affine-5CJsNdES5WTK7JtdB8r1MXsDbmv7AZAQwk3jAWFa5UswySzD`), and use base URL `https://llm.chutes.ai/v1`.
- For base64 media fields, send raw base64 strings in API requests. The web playground may use temporary Blob upload references internally for large files before proxying to Chutes.

## Endpoints

### 1. POST /v1/chat/completions

- Base URL: `https://llm.chutes.ai`
- Output content type: `application/json`
- Streaming: yes

Request fields:

- `seed` (integer, optional) Default: 42.
- `model` (string, optional) Default: "emglab-ai/Affine-5CJsNdES5WTK7JtdB8r1MXsDbmv7AZAQwk3jAWFa5UswySzD".
- `stream` (boolean, optional) Default: true.
- `messages` (array, optional) Default: [{"role":"user","content":""}].
- `max_tokens` (integer, optional) Default: 1024.
- `temperature` (number, optional) Default: 0.7.

Example call:

```bash
curl -X POST "https://llm.chutes.ai/v1/chat/completions" \
  -H "Authorization: Bearer $CHUTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "emglab-ai/Affine-5CJsNdES5WTK7JtdB8r1MXsDbmv7AZAQwk3jAWFa5UswySzD",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "stream": true,
  "max_tokens": 1024,
  "temperature": 0.7
}'
```

### 2. POST /v1/completions

- Base URL: `https://llm.chutes.ai`
- Output content type: `application/json`
- Streaming: yes

Request fields:

- `seed` (integer, optional) Default: 42.
- `model` (string, optional) Default: "emglab-ai/Affine-5CJsNdES5WTK7JtdB8r1MXsDbmv7AZAQwk3jAWFa5UswySzD".
- `prompt` (string, required)
- `stream` (boolean, optional) Default: true.
- `max_tokens` (integer, optional) Default: 1024.
- `temperature` (number, optional) Default: 0.7.

Example call:

```bash
curl -X POST "https://llm.chutes.ai/v1/completions" \
  -H "Authorization: Bearer $CHUTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "seed": 42,
  "model": "emglab-ai/Affine-5CJsNdES5WTK7JtdB8r1MXsDbmv7AZAQwk3jAWFa5UswySzD",
  "prompt": "a serene mountain lake at sunset",
  "stream": false,
  "max_tokens": 1024,
  "temperature": 0.7,
  "min_p": 0,
  "top_k": -1,
  "top_p": 1,
  "logprobs": false,
  "ignore_eos": false,
  "min_tokens": 0,
  "top_logprobs": 0,
  "length_penalty": 1,
  "use_beam_search": false,
  "presence_penalty": 0,
  "frequency_penalty": 0,
  "repetition_penalty": 1,
  "skip_special_tokens": true,
  "include_stop_str_in_output": false,
  "spaces_between_special_tokens": true
}'
```

### 3. POST /v1/chat/completions

- Base URL: `https://llm.chutes.ai`
- Output content type: `application/json`

Request fields:

- `seed` (integer, optional) Default: 42.
- `model` (string, optional) Default: "emglab-ai/Affine-5CJsNdES5WTK7JtdB8r1MXsDbmv7AZAQwk3jAWFa5UswySzD".
- `stream` (boolean, optional) Default: false.
- `messages` (array, optional) Default: [{"role":"user","content":""}].
- `max_tokens` (integer, optional) Default: 1024.
- `temperature` (number, optional) Default: 0.7.

Example call:

```bash
curl -X POST "https://llm.chutes.ai/v1/chat/completions" \
  -H "Authorization: Bearer $CHUTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "emglab-ai/Affine-5CJsNdES5WTK7JtdB8r1MXsDbmv7AZAQwk3jAWFa5UswySzD",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "stream": false,
  "max_tokens": 1024,
  "temperature": 0.7
}'
```

### 4. POST /tokenize

- Base URL: `https://llm.chutes.ai`
- Output content type: `application/json`

Request fields:

- `seed` (integer, optional) Default: null.
- `stop` (array, optional)
- `min_p` (number, optional) Default: 0.
- `model` (string, required)
- `top_k` (integer, optional) Default: -1.
- `top_p` (number, optional) Default: 1.
- `prompt` (string, required)
- `stream` (boolean, optional) Default: false.
- `best_of` (integer, optional) Default: null.
- `logprobs` (boolean, optional) Default: false.
- `ignore_eos` (boolean, optional) Default: false.
- `logit_bias` (object, optional) Default: null.
- `max_tokens` (integer, optional) Default: null.
- `min_tokens` (integer, optional) Default: 0.
- `temperature` (number, optional) Default: 0.7.
- `top_logprobs` (integer, optional) Default: 0.
- `length_penalty` (number, optional) Default: 1.
- `stop_token_ids` (array, optional)
- `prompt_logprobs` (integer, optional) Default: null.
- `response_format` (object, optional) Default: null.
- `use_beam_search` (boolean, optional) Default: false.
- `presence_penalty` (number, optional) Default: 0.
- `frequency_penalty` (number, optional) Default: 0.
- `add_special_tokens` (boolean, required)
- `repetition_penalty` (number, optional) Default: 1.
- `skip_special_tokens` (boolean, optional) Default: true.
- `include_stop_str_in_output` (boolean, optional) Default: false.
- `spaces_between_special_tokens` (boolean, optional) Default: true.

Example call:

```bash
curl -X POST "https://llm.chutes.ai/tokenize" \
  -H "Authorization: Bearer $CHUTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "seed": 42,
  "min_p": 0,
  "model": "emglab-ai/Affine-5CJsNdES5WTK7JtdB8r1MXsDbmv7AZAQwk3jAWFa5UswySzD",
  "top_k": -1,
  "top_p": 1,
  "prompt": "a serene mountain lake at sunset",
  "stream": false,
  "logprobs": false,
  "ignore_eos": false,
  "max_tokens": 1024,
  "min_tokens": 0,
  "temperature": 0.7,
  "top_logprobs": 0,
  "length_penalty": 1,
  "use_beam_search": false,
  "presence_penalty": 0,
  "frequency_penalty": 0,
  "add_special_tokens": false,
  "repetition_penalty": 1,
  "skip_special_tokens": true,
  "include_stop_str_in_output": false,
  "spaces_between_special_tokens": true
}'
```

### 5. POST /detokenize

- Base URL: `https://llm.chutes.ai`
- Output content type: `application/json`

Request fields:

- `seed` (integer, optional) Default: null.
- `stop` (array, optional)
- `min_p` (number, optional) Default: 0.
- `model` (string, required)
- `top_k` (integer, optional) Default: -1.
- `top_p` (number, optional) Default: 1.
- `stream` (boolean, optional) Default: false.
- `tokens` (array, required)
- `best_of` (integer, optional) Default: null.
- `logprobs` (boolean, optional) Default: false.
- `ignore_eos` (boolean, optional) Default: false.
- `logit_bias` (object, optional) Default: null.
- `max_tokens` (integer, optional) Default: null.
- `min_tokens` (integer, optional) Default: 0.
- `temperature` (number, optional) Default: 0.7.
- `top_logprobs` (integer, optional) Default: 0.
- `length_penalty` (number, optional) Default: 1.
- `stop_token_ids` (array, optional)
- `prompt_logprobs` (integer, optional) Default: null.
- `response_format` (object, optional) Default: null.
- `use_beam_search` (boolean, optional) Default: false.
- `presence_penalty` (number, optional) Default: 0.
- `frequency_penalty` (number, optional) Default: 0.
- `repetition_penalty` (number, optional) Default: 1.
- `skip_special_tokens` (boolean, optional) Default: true.
- `include_stop_str_in_output` (boolean, optional) Default: false.
- `spaces_between_special_tokens` (boolean, optional) Default: true.

Example call:

```bash
curl -X POST "https://llm.chutes.ai/detokenize" \
  -H "Authorization: Bearer $CHUTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "seed": 42,
  "min_p": 0,
  "model": "emglab-ai/Affine-5CJsNdES5WTK7JtdB8r1MXsDbmv7AZAQwk3jAWFa5UswySzD",
  "top_k": -1,
  "top_p": 1,
  "stream": false,
  "tokens": [
    1
  ],
  "logprobs": false,
  "ignore_eos": false,
  "max_tokens": 1024,
  "min_tokens": 0,
  "temperature": 0.7,
  "top_logprobs": 0,
  "length_penalty": 1,
  "use_beam_search": false,
  "presence_penalty": 0,
  "frequency_penalty": 0,
  "repetition_penalty": 1,
  "skip_special_tokens": true,
  "include_stop_str_in_output": false,
  "spaces_between_special_tokens": true
}'
```

### 6. POST /v1/completions

- Base URL: `https://llm.chutes.ai`
- Output content type: `application/json`

Request fields:

- `seed` (integer, optional) Default: 42.
- `model` (string, optional) Default: "emglab-ai/Affine-5CJsNdES5WTK7JtdB8r1MXsDbmv7AZAQwk3jAWFa5UswySzD".
- `prompt` (string, required)
- `stream` (boolean, optional) Default: false.
- `max_tokens` (integer, optional) Default: 1024.
- `temperature` (number, optional) Default: 0.7.

Example call:

```bash
curl -X POST "https://llm.chutes.ai/v1/completions" \
  -H "Authorization: Bearer $CHUTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "seed": 42,
  "model": "emglab-ai/Affine-5CJsNdES5WTK7JtdB8r1MXsDbmv7AZAQwk3jAWFa5UswySzD",
  "prompt": "a serene mountain lake at sunset",
  "stream": false,
  "max_tokens": 1024,
  "temperature": 0.7,
  "min_p": 0,
  "top_k": -1,
  "top_p": 1,
  "logprobs": false,
  "ignore_eos": false,
  "min_tokens": 0,
  "top_logprobs": 0,
  "length_penalty": 1,
  "use_beam_search": false,
  "presence_penalty": 0,
  "frequency_penalty": 0,
  "repetition_penalty": 1,
  "skip_special_tokens": true,
  "include_stop_str_in_output": false,
  "spaces_between_special_tokens": true
}'
```

### 7. GET /v1/models

- Base URL: `https://llm.chutes.ai`
- Output content type: `application/json`

Request fields:


Example call:

```bash
curl -X GET "https://llm.chutes.ai/v1/models" \
  -H "Authorization: Bearer $CHUTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{}'
```

## Agent Integration Checklist

- Pick the endpoint path that matches the desired task.
- Set `CHUTES_API_KEY` in the server-side environment only.
- Validate required fields before sending requests.
- For media models, keep file upload, base64 conversion, and output preview/download handling explicit in the app UI.