## Compact an objective

**post** `/v1/objectives/{objectiveId}/compact`

Triggers compaction on a running objective. Optionally override the variation's compaction config.

### Path Parameters

- `objectiveId: string`

### Body Parameters

- `compactionConfig: optional AgentVariationSpecCompactionConfig`

  CompactionConfig defines how context window compaction behaves for objectives using this variation.

  - `summarization: optional CompactionConfigSummarizationStrategy`

    SummarizationStrategy configures LLM-powered summarization of older conversation turns.

    - `instructions: optional string`

      Custom instructions that guide what the summarizer preserves.
      Replaces the default summarization prompt entirely.
      Example: "Preserve all code snippets, variable names, and technical decisions."

  - `toolResultClearing: optional CompactionConfigToolResultClearingStrategy`

    ToolResultClearingStrategy configures clearing of older tool result content.

    - `preserveRecentResults: optional number`

      Number of most recent tool call results to keep intact.
      Older tool results have their content replaced with "[result cleared]"
      while preserving the assistant tool call message (function name, arguments).
      Default: 2

  - `triggerThreshold: optional number`

    Trigger threshold as a percentage of the model's context window (0.0 to 1.0).
    When input tokens reach this percentage of the model's limit, compaction triggers.
    Default: 0.75 (75%)

### Returns

- `contextWindow: optional ObjectiveContextWindowData`

  The new context window created by the compaction

  - `completionTokens: optional number`

    A calculated value for how many completion tokens (output tokens) have been used in this context window

  - `objectiveId: optional string`

    The objective's ID that this window belongs to

  - `previousWindowContinueInstructions: optional string`

    The instructions for this window to continue from a previous window's chat history.

  - `promptTokens: optional number`

    A calculated value for how many prompt tokens (input tokens) have been used in this context window

  - `sequence: optional number`

    sequence is a numeric representation of which context window this is. Sequences are useful to perform a max(sequence) on in order
    to calculate how many context windows an objective has.

### Example

```http
curl https://api.cadenya.com/v1/objectives/$OBJECTIVE_ID/compact \
    -H 'Content-Type: application/json' \
    -H "Authorization: Bearer $CADENYA_API_KEY" \
    -d '{}'
```

#### Response

```json
{
  "contextWindow": {
    "completionTokens": 0,
    "objectiveId": "objectiveId",
    "previousWindowContinueInstructions": "previousWindowContinueInstructions",
    "promptTokens": 0,
    "sequence": 0
  }
}
```