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

# sdvm-fix-1

<div className="flex flex-wrap gap-1.5 not-prose" style={{ marginTop: "-1.25rem" }}>
  <span className="inline-flex items-center rounded-full border border-gray-300 dark:border-gray-700 px-2.5 py-0.5 text-xs font-medium text-gray-600 dark:text-gray-300">Text</span>
  <span className="inline-flex items-center rounded-full border border-gray-300 dark:border-gray-700 px-2.5 py-0.5 text-xs font-medium text-gray-600 dark:text-gray-300">Thinking</span>
</div>

`sdvm-fix-1` reads an audited sample and returns it fixed, with a `fix`: `changes`, `flagged` when something could not be resolved, `attempts`. A sample never comes back worse than it arrived.

Pass it what `sdvm-audit-1` returned. A sample without an `audit` is audited first.

```python theme={"theme":{"light":"material-theme-lighter","dark":"material-theme-darker"}}
import json
import os

from openai import OpenAI

client = OpenAI(
    base_url="https://api.sdvm.ai/v1",
    api_key=os.environ["SDVM_API_KEY"],
)

audited = client.chat.completions.create(
    model="sdvm/audit-1",
    messages=[{"role": "user", "content": json.dumps({"data": samples})}],
)

fixed = client.chat.completions.create(
    model="sdvm/fix-1",
    messages=[{"role": "user", "content": audited.choices[0].message.content}],
)
for sample in json.loads(fixed.choices[0].message.content):
    print(sample["fix"])
```

With the SDK, `Fixer(api_key=...).run(audited)` attaches it to each sample's `.fix`. `[s for s in fixed if s.fix["flagged"]]` is the review queue.

## A real request and response

The audited sample from [sdvm-audit-1](/models/audit#a-real-request-and-response), as returned.

<CodeGroup>
  ```json Request theme={"theme":{"light":"material-theme-lighter","dark":"material-theme-darker"}}
  {
    "data": [
      {
        "task_type": "multiple_choice",
        "style": "continuation",
        "context": "A woman sits at a bathroom mirror with a tube of mascara. She unscrews the wand and leans in close to the glass. she",
        "choices": [
          "drives off.",
          "exits.",
          "carefully applies the mascara to her upper and lower lashes, blinking between coats.",
          "mixes a bowl."
        ],
        "answer_index": 2,
        "audit": {
          "num_choices": 4,
          "has_multiple_choices": true,
          "context_non_empty": true,
          "choices_non_empty": true,
          "valid_answer_index": true,
          "no_length_shortcut": false,
          "no_mojibake": true,
          "no_pii": true,
          "ctx_grammatical": false,
          "ctx_coherent": true,
          "ctx_fluent": true,
          "ctx_complete": null,
          "choice_grammatical": true,
          "choice_coherent": false,
          "choice_fluent": true,
          "choice_complete": true,
          "choice_defects": [0, 3],
          "label_correct": true,
          "single_valid_answer": true,
          "distractors_discriminating": true
        }
      }
    ]
  }
  ```

  ```json Response theme={"theme":{"light":"material-theme-lighter","dark":"material-theme-darker"}}
  {
    "fixed_data": [
      {
        "task_type": "multiple_choice",
        "style": "continuation",
        "context": "A woman sits at a bathroom mirror with a tube of mascara. She unscrews the wand and leans in close to the glass. She",
        "choices": [
          "scratches the fogged glass with her fingernail to clear a small patch.",
          "checks her phone reflection to ensure the lighting looks flattering for her selfie.",
          "carefully applies the mascara to her upper and lower lashes, blinking between coats.",
          "adjusts the curlers in her hair while staring intently at her reflection."
        ],
        "answer_index": 2,
        "audit": {
          "num_choices": 4,
          "has_multiple_choices": true,
          "context_non_empty": true,
          "choices_non_empty": true,
          "valid_answer_index": true,
          "no_length_shortcut": false,
          "no_mojibake": true,
          "no_pii": true,
          "ctx_grammatical": false,
          "ctx_coherent": true,
          "ctx_fluent": true,
          "ctx_complete": null,
          "choice_grammatical": true,
          "choice_coherent": false,
          "choice_fluent": true,
          "choice_complete": true,
          "choice_defects": [0, 3],
          "label_correct": true,
          "single_valid_answer": true,
          "distractors_discriminating": true
        },
        "fix": {
          "changes": [
            "ctx: Capitalized 'she' to 'She'",
            "Rewrote choice 0 to describe a plausible mirror-related action that contradicts applying mascara.",
            "Rewrote choice 1 to describe a plausible phone-related action that contradicts applying mascara.",
            "Rewrote choice 3 to describe a plausible hair-related action that contradicts applying mascara."
          ],
          "flagged": false,
          "attempts": 1
        }
      }
    ],
    "original_count": 1,
    "fixed_count": 1,
    "cost_usd": 0.01,
    "input_tokens": 1088,
    "output_tokens": 4023
  }
  ```
</CodeGroup>

* **`ctx:`** the lowercase `she` was capitalised. The wording of the stem is unchanged.
* **The distractors** were rewritten to the length of the correct choice, which is untouched.
* **`audit`** is the one that came in, so nothing was audited again. `sdvm-fix-1` does not re-audit; [Refine](/models/refine) does.

## Options

<ResponseField name="max_attempts" type="int" default="1">
  Tries at an accepted fix, 1 to 5. A flagged sample is tried again on the original with what went wrong as feedback, stopping at the first accepted fix. On `FixerConfig`; on the HTTP API, `config: {"max_attempts": 3}`.
</ResponseField>

<ResponseField name="conventions" type="str | None" default="None">
  Dataset conventions the model must not read as defects. See [Dataset conventions](/guides/conventions).
</ResponseField>

`run` takes a list of samples, up to 100 per request.

```python theme={"theme":{"light":"material-theme-lighter","dark":"material-theme-darker"}}
from sdvm import Fixer, FixerConfig

fixer = Fixer(
    api_key=os.environ["SDVM_API_KEY"],
    config=FixerConfig(max_attempts=3),
)
fixed = fixer.run(audited)
```