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ci: regenerated with OpenAPI Doc , Speakeasy CLI 1.575.1
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‎.speakeasy/gen.lock

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‎.speakeasy/workflow.lock

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speakeasyVersion: 1.575.0
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speakeasyVersion: 1.575.1
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sourceBlobDigest: sha256:1eb8e1df4319a9b147bce0dd0ba1737656e5aacba7df3d365e5260e6d025d800
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tags:
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- latest
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- speakeasy-sdk-regen-1751100180
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- speakeasy-sdk-regen-1751485738
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- "2.0"
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targets:
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workflow:
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‎README.md

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‎RELEASES.md

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### Generated
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- [python v3.8.9] .
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### Releases
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- [PyPI v3.8.9] https://pypi.org/project/orq-ai-sdk/3.8.9 - .
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- [PyPI v3.8.9] https://pypi.org/project/orq-ai-sdk/3.8.9 - .
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## 2025-07-02 19:48:35
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### Changes
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Based on:
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- OpenAPI Doc
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- Speakeasy CLI 1.575.1 (2.648.1) https://github.com/speakeasy-api/speakeasy
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### Generated
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- [python v3.9.0] .
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### Releases
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- [PyPI v3.9.0] https://pypi.org/project/orq-ai-sdk/3.9.0 - .

‎docs/models/agenticchunker.md

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# AgenticChunker
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## Values
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| Name | Value |
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| --------- | --------- |
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| `AGENTIC` | agentic |

‎docs/models/agenticchunkerstrategy.md

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# AgenticChunkerStrategy
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Agentic LLM-powered chunker that uses AI to determine optimal split points. Best for complex documents requiring intelligent segmentation.
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## Fields
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| Field | Type | Required | Description | Example |
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| ------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| `text` | *str* | :heavy_check_mark: | The text content to be chunked | |
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| `metadata` | *Optional[bool]* | :heavy_minus_sign: | Whether to include metadata for each chunk | |
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| `return_type` | [Optional[models.ChunkTextChunkingRequestKnowledgeRequestRequestBodyReturnType]](../models/chunktextchunkingrequestknowledgerequestrequestbodyreturntype.md) | :heavy_minus_sign: | Return format: chunks (with metadata) or texts (plain strings) | |
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| `strategy` | [models.AgenticChunker](../models/agenticchunker.md) | :heavy_check_mark: | N/A | |
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| `model` | *str* | :heavy_check_mark: | Chat model to use for chunking. (Available models)[https://docs.orq.ai/docs/proxy#chat-models] | openai/gpt-4.1 |
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| `chunk_size` | *Optional[int]* | :heavy_minus_sign: | Maximum tokens per chunk | |
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| `candidate_size` | *Optional[int]* | :heavy_minus_sign: | Size of candidate splits for LLM evaluation | |
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| `min_characters_per_chunk` | *Optional[int]* | :heavy_minus_sign: | Minimum characters allowed per chunk | |

‎docs/models/chunkingrequestmode.md

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# ChunkingRequestMode
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Chunking mode: window-based or sentence-based similarity
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## Values
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| Name | Value |
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| ---------- | ---------- |
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| `WINDOW` | window |
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| `SENTENCE` | sentence |

‎docs/models/chunkingrequestreturntype.md

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# ChunkingRequestReturnType
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Return format: chunks (with metadata) or texts (plain strings)
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## Values
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| Name | Value |
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| -------- | -------- |
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| `CHUNKS` | chunks |
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| `TEXTS` | texts |

‎docs/models/chunkingrequestthreshold.md

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# ChunkingRequestThreshold
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Similarity threshold for grouping (0-1) or "auto" for automatic detection
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## Supported Types
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### `float`
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```python
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value: float = /* values here */
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```
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### `models.ChunkTextThreshold2`
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```python
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value: models.ChunkTextThreshold2 = /* values here */
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```
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‎docs/models/chunks.md

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# Chunks
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## Fields
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| Field | Type | Required | Description |
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| -------------------------------------------------------------------- | -------------------------------------------------------------------- | -------------------------------------------------------------------- | -------------------------------------------------------------------- |
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| `text` | *str* | :heavy_check_mark: | The text content of the chunk |
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| `index` | *float* | :heavy_check_mark: | The position index of this chunk in the sequence |
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| `metadata` | [Optional[models.ChunkTextMetadata]](../models/chunktextmetadata.md) | :heavy_minus_sign: | N/A |

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