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

# Task Completion

> Evaluates whether a response successfully completes the task requested in the input.

<CodeGroup>
  ```python Python theme={null}
  result = evaluator.evaluate(
      eval_templates="task_completion",
      inputs={
          "input": "Why doesn't honey go bad?",
          "output": "Honey doesn't spoil because its low moisture and high acidity prevent the growth of bacteria and other microbes."
      },
      model_name="turing_flash"
  )

  print(result.eval_results[0].output)
  print(result.eval_results[0].reason)
  ```

  ```typescript JS/TS theme={null}
  import { Evaluator, Templates } from "@future-agi/ai-evaluation";

  const evaluator = new Evaluator();

  const result = await evaluator.evaluate(
    "task_completion",
    {
      input: "Why doesn't honey go bad?",
      output: "Honey doesn't spoil because its low moisture and high acidity prevent the growth of bacteria and other microbes."
    },
    {
      modelName: "turing_flash",
    }
  );

  console.log(result);
  ```
</CodeGroup>

| **Input** |                    |          |                                           |
| --------- | ------------------ | -------- | ----------------------------------------- |
|           | **Required Input** | **Type** | **Description**                           |
|           | `input`            | `string` | User request or question to the model.    |
|           | `output`           | `string` | Response of the model based on the input. |

| **Output** |            |                                                                                                                |
| ---------- | ---------- | -------------------------------------------------------------------------------------------------------------- |
|            | **Field**  | **Description**                                                                                                |
|            | **Result** | Returns Passed if the response successfully completes the requested task, or Failed if it doesn't.             |
|            | **Reason** | Provides a detailed explanation of why the response was classified as successfully completing the task or not. |

***

### What to do If you get Undesired Results

If the response is evaluated as not completing the task (Failed) and you want to improve it:

* Make sure the response directly addresses the specific task or question asked
* Ensure all parts of multi-part questions or requests are addressed
* Provide complete information without assuming prior knowledge
* For how-to requests, include clear, actionable steps
* For questions seeking explanations, provide the reasoning or mechanisms behind the answer
* Consider whether the task requires specific formatting, calculations, or output types
* Verify that the response is accurate and relevant to the specific task

***

### Comparing Task Completion with Similar Evals

* [**Completeness**](https://docs.futureagi.com/future-agi/products/evaluation/eval-definition/completeness): While Task Completion evaluates whether a response successfully accomplishes a requested task, Completeness focuses specifically on whether all required information is included.
* [**Instruction Adherence**](https://docs.futureagi.com/future-agi/products/evaluation/eval-definition/instruction-adherence): Task Completion evaluates whether a response accomplishes the requested task, whereas Instruction Adherence measures how well the response follows specific instructions.
* [**Is Helpful**](https://docs.futureagi.com/future-agi/products/evaluation/eval-definition/is-helpful): Task Completion focuses on successful completion of a task, while Is Helpful evaluates the overall usefulness of a response.