These docs are built from the langchain-parallel repo and have not been verified for accuracy by the LangChain team.
For issues, please open an issue in the langchain-parallel repo.
Refer to the docs for a high-level guide on how to use each module. These reference pages contain auto-generated API documentation for each module, focusing on the "what" rather than the "how" or "why" (i.e. no end-to-end tutorials or conceptual overviews).
Input schema for ParallelWeb search tool.
Parallel Search tool with web research capabilities.
This tool calls Parallel's Search API, which streamlines the traditional search -> scrape -> extract pipeline into a single API call. It supports
Webhook config for a FindAll run.
One boolean condition the API uses to filter candidates.
The pair (name, description) names a True/False question the API answers per candidate; only candidates with all conditions True are returned.
One entry in the FindAll exclude_list.
Input schema for :class:ParallelFindAllTool.
Run a Parallel FindAll discovery and return the matched candidates.
FindAll discovers entities from the web that satisfy a natural-language objective plus a set of boolean match conditions. Useful fo
Settings for excerpt extraction.
Settings for full content extraction.
Fetch policy for cache vs live content.
Domain allow/deny lists and freshness floor for web research.
Apex-domain semantics: include nature.com, not https://www.nature.com.
Wildcards permitted (e.g. .org).
Parallel Web chat model integration.
This integration connects to Parallel's Chat API, which provides real-time web research capabilities through an OpenAI-compatible interface.
Input schema for Parallel Extract Tool.
Parallel Extract Tool.
Calls Parallel's Extract API to pull clean, structured content from web pages. Returns a compact summary string the LLM sees and the full structured response as a tool artifact
One BYOMCP server description for a Task Run.
Mirrors :class:parallel.types.McpServerParam so callers don't have to
import from the SDK directly.
Input schema for :class:ParallelTaskRunTool.
Run a single Parallel Task synchronously and return the structured result.
This is the agent-friendly path: an LLM calls the tool with input, the
tool blocks until the Parallel Task Run completes,
High-level Runnable for Parallel deep-research tasks.
Defaults to the pro-fast processor -- the -fast variant of
pro ("Exploratory web research") at 2-5x the speed for similar
accuracy. D
Batch task runner backed by the Task Group API.
Use when you have a list of inputs and want them all processed in parallel. Returns a list of result dicts in the same order as the input list.
High-level Runnable for the structured-batch enrichment pattern.
Wraps :class:ParallelTaskGroup with a default_task_spec so callers
can pass a list of records (pydantic instances or dicts) and
Webhook config for a Parallel monitor.
Per the create-monitor API, the webhook object is {url, event_types}.
The signing secret is configured at the org webhook-endpoint level (in
the Parallel da
Manage scheduled web monitors via the Parallel Monitor API (alpha).
Each method is a thin wrapper around an HTTP call. Returned dicts are the API response bodies as-is.
LangChain retriever that returns Parallel Search results as Documents.
Drops in to any RAG pipeline that expects a BaseRetriever. Each
Document.page_content is the joined excerpt list from one Pa
Build a TaskSpecParam dict from pydantic classes / schemas / text.
Mirrors the helper used in https://docs.parallel.ai/task-api/examples/task-enrichment.
Verify a Parallel webhook signature (Standard Webhooks scheme).
Parallel signs webhook payloads using HMAC-SHA256 over
"<webhook-id>.<webhook-timestamp>.<body>", base64-encoded
with padding. The
Extract citations, low-confidence fields, and interaction_id.
Saves Task-API consumers the boilerplate of walking the result shape to pull out per-field citations, find which fields the model wasn'
Retrieve the Parallel API key from argument or environment variables.
Returns a configured sync OpenAI client for the Chat API.
Returns a configured async OpenAI client for the Chat API.
Returns a configured sync Parallel SDK client.
Returns a configured async Parallel SDK client.
