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This commit is contained in:
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---
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title: "Perplexity"
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id: integrations-perplexity
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description: "Perplexity integration for Haystack"
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slug: "/integrations-perplexity"
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---
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## haystack_integrations.components.embedders.perplexity.document_embedder
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### PerplexityDocumentEmbedder
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Bases: <code>OpenAIDocumentEmbedder</code>
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A component for computing Document embeddings using Perplexity models.
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The embedding of each Document is stored in the `embedding` field of the Document.
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For supported models, see the
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[Perplexity Embeddings API reference](https://docs.perplexity.ai/api-reference/embeddings-post).
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Usage example:
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```python
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from haystack import Document
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from haystack_integrations.components.embedders.perplexity import PerplexityDocumentEmbedder
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doc = Document(content="I love pizza!")
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document_embedder = PerplexityDocumentEmbedder()
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result = document_embedder.run([doc])
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print(result['documents'][0].embedding)
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```
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#### SUPPORTED_MODELS
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```python
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SUPPORTED_MODELS: list[str] = ['pplx-embed-v1-0.6b', 'pplx-embed-v1-4b']
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```
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A list of models supported by the Perplexity Embeddings API.
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See https://docs.perplexity.ai/api-reference/embeddings-post for the current list of model IDs.
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#### __init__
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```python
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__init__(
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*,
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api_key: Secret = Secret.from_env_var("PERPLEXITY_API_KEY"),
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model: str = "pplx-embed-v1-0.6b",
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api_base_url: str | None = "https://api.perplexity.ai/v1",
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prefix: str = "",
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suffix: str = "",
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batch_size: int = 32,
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progress_bar: bool = True,
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meta_fields_to_embed: list[str] | None = None,
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embedding_separator: str = "\n",
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encoding_format: str = "base64_int8",
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timeout: float | None = None,
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max_retries: int | None = None,
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http_client_kwargs: dict[str, Any] | None = None
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) -> None
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```
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Creates a PerplexityDocumentEmbedder component.
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**Parameters:**
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- **api_key** (<code>Secret</code>) – The Perplexity API key.
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- **model** (<code>str</code>) – The name of the model to use.
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- **api_base_url** (<code>str | None</code>) – The Perplexity API base URL.
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- **prefix** (<code>str</code>) – A string to add to the beginning of each text.
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- **suffix** (<code>str</code>) – A string to add to the end of each text.
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- **batch_size** (<code>int</code>) – Number of Documents to encode at once.
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- **progress_bar** (<code>bool</code>) – Whether to show a progress bar or not. Can be helpful to disable in production deployments to keep
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the logs clean.
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- **meta_fields_to_embed** (<code>list\[str\] | None</code>) – List of meta fields that should be embedded along with the Document text.
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- **embedding_separator** (<code>str</code>) – Separator used to concatenate the meta fields to the Document text.
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- **encoding_format** (<code>str</code>) – The Perplexity embedding encoding format. Supported values are `base64_int8` and `base64_binary`.
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- **timeout** (<code>float | None</code>) – Timeout for Perplexity client calls. If not set, it defaults to either the `OPENAI_TIMEOUT` environment
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variable, or 30 seconds.
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- **max_retries** (<code>int | None</code>) – Maximum number of retries to contact Perplexity after an internal error.
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If not set, it defaults to either the `OPENAI_MAX_RETRIES` environment variable, or set to 5.
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- **http_client_kwargs** (<code>dict\[str, Any\] | None</code>) – A dictionary of keyword arguments to configure a custom `httpx.Client`or `httpx.AsyncClient`.
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For more information, see the [HTTPX documentation](https://www.python-httpx.org/api/#client).
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#### to_dict
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```python
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to_dict() -> dict[str, Any]
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```
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Serializes the component to a dictionary.
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**Returns:**
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- <code>dict\[str, Any\]</code> – Dictionary with serialized data.
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#### from_dict
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```python
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from_dict(data: dict[str, Any]) -> PerplexityDocumentEmbedder
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```
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Deserializes the component from a dictionary.
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**Parameters:**
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- **data** (<code>dict\[str, Any\]</code>) – Dictionary to deserialize from.
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**Returns:**
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- <code>PerplexityDocumentEmbedder</code> – Deserialized component.
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## haystack_integrations.components.embedders.perplexity.text_embedder
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### PerplexityTextEmbedder
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Bases: <code>OpenAITextEmbedder</code>
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A component for embedding strings using Perplexity models.
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For supported models, see the
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[Perplexity Embeddings API reference](https://docs.perplexity.ai/api-reference/embeddings-post).
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Usage example:
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```python
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from haystack_integrations.components.embedders.perplexity.text_embedder import PerplexityTextEmbedder
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text_to_embed = "I love pizza!"
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text_embedder = PerplexityTextEmbedder()
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print(text_embedder.run(text_to_embed))
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```
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#### SUPPORTED_MODELS
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```python
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SUPPORTED_MODELS: list[str] = ['pplx-embed-v1-0.6b', 'pplx-embed-v1-4b']
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```
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A list of models supported by the Perplexity Embeddings API.
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See https://docs.perplexity.ai/api-reference/embeddings-post for the current list of model IDs.
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#### __init__
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```python
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__init__(
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*,
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api_key: Secret = Secret.from_env_var("PERPLEXITY_API_KEY"),
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model: str = "pplx-embed-v1-0.6b",
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api_base_url: str | None = "https://api.perplexity.ai/v1",
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prefix: str = "",
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suffix: str = "",
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encoding_format: str = "base64_int8",
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timeout: float | None = None,
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max_retries: int | None = None,
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http_client_kwargs: dict[str, Any] | None = None
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) -> None
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```
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Creates a PerplexityTextEmbedder component.
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**Parameters:**
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- **api_key** (<code>Secret</code>) – The Perplexity API key.
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- **model** (<code>str</code>) – The name of the Perplexity embedding model to be used.
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- **api_base_url** (<code>str | None</code>) – The Perplexity API base URL.
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- **prefix** (<code>str</code>) – A string to add to the beginning of each text.
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- **suffix** (<code>str</code>) – A string to add to the end of each text.
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- **encoding_format** (<code>str</code>) – The Perplexity embedding encoding format. Supported values are `base64_int8` and `base64_binary`.
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- **timeout** (<code>float | None</code>) – Timeout for Perplexity client calls. If not set, it defaults to either the `OPENAI_TIMEOUT` environment
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variable, or 30 seconds.
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- **max_retries** (<code>int | None</code>) – Maximum number of retries to contact Perplexity after an internal error.
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If not set, it defaults to either the `OPENAI_MAX_RETRIES` environment variable, or set to 5.
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- **http_client_kwargs** (<code>dict\[str, Any\] | None</code>) – A dictionary of keyword arguments to configure a custom `httpx.Client`or `httpx.AsyncClient`.
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For more information, see the [HTTPX documentation](https://www.python-httpx.org/api/#client).
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#### to_dict
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```python
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to_dict() -> dict[str, Any]
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```
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Serializes the component to a dictionary.
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**Returns:**
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- <code>dict\[str, Any\]</code> – Dictionary with serialized data.
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#### from_dict
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```python
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from_dict(data: dict[str, Any]) -> PerplexityTextEmbedder
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```
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Deserializes the component from a dictionary.
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**Parameters:**
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- **data** (<code>dict\[str, Any\]</code>) – Dictionary to deserialize from.
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**Returns:**
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- <code>PerplexityTextEmbedder</code> – Deserialized component.
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## haystack_integrations.components.generators.perplexity.chat.chat_generator
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### PerplexityChatGenerator
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Bases: <code>OpenAIResponsesChatGenerator</code>
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Completes chats using Perplexity models.
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Powered by the Perplexity Agent API (`POST /v1/agent`, OpenAI Responses-compatible).
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See the [Perplexity Agent API quickstart](https://docs.perplexity.ai/docs/agent-api/quickstart)
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for details.
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It uses the [ChatMessage](https://docs.haystack.deepset.ai/docs/chatmessage) format in input and output.
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You can customize generation by passing Perplexity Agent API parameters through `generation_kwargs`.
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### Usage example
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```python
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from haystack.dataclasses import ChatMessage
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from haystack_integrations.components.generators.perplexity import PerplexityChatGenerator
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messages = [ChatMessage.from_user("What's Natural Language Processing?")]
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client = PerplexityChatGenerator()
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response = client.run(messages)
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print(response)
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```
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#### SUPPORTED_MODELS
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```python
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SUPPORTED_MODELS: list[str] = [
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"openai/gpt-5.5",
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"openai/gpt-5.4",
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"openai/gpt-4o",
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"anthropic/claude-sonnet-4-6",
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"xai/grok-4-1",
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"google/gemini-3-flash-preview",
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]
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```
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A non-exhaustive list of Agent API models supported by this component.
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See https://docs.perplexity.ai/docs/agent-api/models for the full and current list.
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#### __init__
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```python
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__init__(
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*,
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api_key: Secret = Secret.from_env_var("PERPLEXITY_API_KEY"),
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model: str = "openai/gpt-5.4",
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api_base_url: str | None = "https://api.perplexity.ai/v1",
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streaming_callback: StreamingCallbackT | None = None,
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organization: str | None = None,
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generation_kwargs: dict[str, Any] | None = None,
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tools: ToolsType | list[dict[str, Any]] | None = None,
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tools_strict: bool = False,
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timeout: float | None = None,
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extra_headers: dict[str, Any] | None = None,
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max_retries: int | None = None,
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http_client_kwargs: dict[str, Any] | None = None
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) -> None
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```
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Initialize the PerplexityChatGenerator component.
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**Parameters:**
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- **api_key** (<code>Secret</code>) – The Perplexity API key.
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- **model** (<code>str</code>) – The Perplexity Agent API model to use.
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- **api_base_url** (<code>str | None</code>) – The Perplexity API base URL.
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- **streaming_callback** (<code>StreamingCallbackT | None</code>) – A callback function called when a new token is received from the stream.
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- **organization** (<code>str | None</code>) – Organization ID forwarded to the OpenAI-compatible client.
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- **generation_kwargs** (<code>dict\[str, Any\] | None</code>) – Additional parameters sent directly to the Perplexity Agent API.
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- **tools** (<code>ToolsType | list\[dict\[str, Any\]\] | None</code>) – A list of Haystack tools, a Toolset, or OpenAI-compatible tool definitions.
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- **tools_strict** (<code>bool</code>) – Whether to enable strict schema adherence for Haystack tool calls.
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- **timeout** (<code>float | None</code>) – Timeout for Perplexity API calls.
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- **extra_headers** (<code>dict\[str, Any\] | None</code>) – Additional HTTP headers to include in requests to the Perplexity API.
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- **max_retries** (<code>int | None</code>) – Maximum number of retries to contact Perplexity after an internal error.
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- **http_client_kwargs** (<code>dict\[str, Any\] | None</code>) – A dictionary of keyword arguments to configure a custom `httpx.Client` or `httpx.AsyncClient`.
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#### to_dict
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```python
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to_dict() -> dict[str, Any]
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```
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Serialize this component to a dictionary.
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**Returns:**
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- <code>dict\[str, Any\]</code> – The serialized component as a dictionary.
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#### from_dict
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```python
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from_dict(data: dict[str, Any]) -> PerplexityChatGenerator
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```
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Deserialize this component from a dictionary.
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**Parameters:**
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- **data** (<code>dict\[str, Any\]</code>) – The dictionary representation of this component.
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**Returns:**
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- <code>PerplexityChatGenerator</code> – The deserialized component instance.
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## haystack_integrations.components.websearch.perplexity.perplexity_websearch
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### PerplexityWebSearch
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A component that uses Perplexity to search the web and return results as Haystack Documents.
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This component wraps the Perplexity Search API, enabling web search queries that return
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structured documents with content and links.
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You need a Perplexity API key from [perplexity.ai](https://www.perplexity.ai/).
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### Usage example
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```python
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from haystack_integrations.components.websearch.perplexity import PerplexityWebSearch
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from haystack.utils import Secret
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websearch = PerplexityWebSearch(
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api_key=Secret.from_env_var("PERPLEXITY_API_KEY"),
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top_k=5,
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)
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result = websearch.run(query="What is Haystack by deepset?")
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documents = result["documents"]
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links = result["links"]
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```
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#### __init__
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```python
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__init__(
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*,
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api_key: Secret = Secret.from_env_var("PERPLEXITY_API_KEY"),
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top_k: int | None = 10,
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search_params: dict[str, Any] | None = None,
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timeout: float = 30.0
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) -> None
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```
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Initialize the PerplexityWebSearch component.
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**Parameters:**
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- **api_key** (<code>Secret</code>) – API key for Perplexity. Defaults to the `PERPLEXITY_API_KEY` environment variable.
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- **top_k** (<code>int | None</code>) – Maximum number of results to return. Maps to the `max_results` API parameter (1-20).
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- **search_params** (<code>dict\[str, Any\] | None</code>) – Additional parameters passed to the Perplexity Search API.
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See the [Perplexity Search API reference](https://docs.perplexity.ai/api-reference/search-post)
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for available options. Supported keys include: `max_tokens_per_page`, `country`,
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`search_recency_filter`, `search_domain_filter`, `search_language_filter`,
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`last_updated_after_filter`, `last_updated_before_filter`,
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`search_after_date_filter`, `search_before_date_filter`.
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- **timeout** (<code>float</code>) – Request timeout in seconds.
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#### warm_up
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```python
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warm_up() -> None
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```
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Initialize the sync and async HTTP clients.
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Called automatically on first use. Can be called explicitly to avoid cold-start latency.
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#### run
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```python
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run(
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query: str, search_params: dict[str, Any] | None = None
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) -> dict[str, list[Document] | list[str]]
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```
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Search the web using Perplexity and return results as Documents.
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**Parameters:**
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- **query** (<code>str</code>) – Search query string.
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- **search_params** (<code>dict\[str, Any\] | None</code>) – Optional per-run override of search parameters.
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If provided, fully replaces the init-time `search_params`.
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**Returns:**
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- <code>dict\[str, list\[Document\] | list\[str\]\]</code> – A dictionary with:
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- `documents`: List of Documents containing search result content.
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- `links`: List of URLs from the search results.
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#### run_async
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```python
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run_async(
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query: str, search_params: dict[str, Any] | None = None
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) -> dict[str, list[Document] | list[str]]
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```
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Asynchronously search the web using Perplexity and return results as Documents.
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**Parameters:**
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- **query** (<code>str</code>) – Search query string.
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- **search_params** (<code>dict\[str, Any\] | None</code>) – Optional per-run override of search parameters.
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If provided, fully replaces the init-time `search_params`.
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**Returns:**
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- <code>dict\[str, list\[Document\] | list\[str\]\]</code> – A dictionary with:
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- `documents`: List of Documents containing search result content.
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- `links`: List of URLs from the search results.
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