├── .python-version ├── src └── perplexity_webui_scraper │ ├── py.typed │ ├── limits.py │ ├── config.py │ ├── __init__.py │ ├── types.py │ ├── exceptions.py │ ├── constants.py │ ├── enums.py │ ├── models.py │ ├── http.py │ ├── cli │ └── get_perplexity_session_token.py │ └── core.py ├── .gitattributes ├── Justfile ├── .gitignore ├── .pre-commit-config.yaml ├── LICENSE ├── pyproject.toml ├── README.md └── uv.lock /.python-version: -------------------------------------------------------------------------------- 1 | 3.14 2 | -------------------------------------------------------------------------------- /src/perplexity_webui_scraper/py.typed: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /.gitattributes: -------------------------------------------------------------------------------- 1 | # Normalize line endings for text files 2 | * text=auto eol=lf 3 | 4 | # Binary files - do not modify 5 | *.png binary 6 | *.jpg binary 7 | *.jpeg binary 8 | *.gif binary 9 | *.ico binary 10 | *.webp binary 11 | -------------------------------------------------------------------------------- /Justfile: -------------------------------------------------------------------------------- 1 | default: 2 | @just --list 3 | 4 | lint: 5 | npx prettier --check . 6 | uv run ruff check 7 | 8 | format: 9 | npx prettier --write . 10 | uv run ruff format 11 | uv run ruff check --fix 12 | 13 | install: 14 | uv sync --upgrade --all-extras --all-groups 15 | 16 | test: 17 | uv run pytest -v --xfail-tb 18 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # ─ ─── Folders ─── ─ # 2 | .idea/ 3 | .vscode/ 4 | .venv/ 5 | node_modules/ 6 | __pycache__/ 7 | .pytest_cache/ 8 | .ruff_cache/ 9 | .mypy_cache/ 10 | dist/ 11 | build/ 12 | *.egg-info/ 13 | .debug/ 14 | 15 | # ─ ─── Files ─── ─ # 16 | example*.py 17 | publish.sh 18 | 19 | # ─ ─── Extensions ─── ─ # 20 | *.env 21 | *.log 22 | *.tmp 23 | *.bak 24 | .DS_Store 25 | thumbs.db 26 | -------------------------------------------------------------------------------- /.pre-commit-config.yaml: -------------------------------------------------------------------------------- 1 | default_install_hook_types: ["pre-commit", "pre-push"] 2 | 3 | repos: 4 | - repo: local 5 | hooks: 6 | - id: just-format 7 | name: Format code (Just) 8 | entry: just format 9 | language: system 10 | pass_filenames: false 11 | always_run: true 12 | 13 | - id: just-lint 14 | name: Lint code (Just) 15 | entry: just lint 16 | language: system 17 | pass_filenames: false 18 | always_run: true 19 | -------------------------------------------------------------------------------- /src/perplexity_webui_scraper/limits.py: -------------------------------------------------------------------------------- 1 | """Upload and request limits for Perplexity WebUI Scraper.""" 2 | 3 | from __future__ import annotations 4 | 5 | from typing import Final 6 | 7 | 8 | # File Upload Limits 9 | MAX_FILES: Final[int] = 30 10 | """Maximum number of files that can be attached to a single prompt.""" 11 | 12 | MAX_FILE_SIZE: Final[int] = 50 * 1024 * 1024 # 50 MB in bytes 13 | """Maximum file size in bytes.""" 14 | 15 | # Request Limits 16 | DEFAULT_TIMEOUT: Final[int] = 30 * 60 # 30 minutes in seconds 17 | """Default request timeout in seconds""" 18 | -------------------------------------------------------------------------------- /src/perplexity_webui_scraper/config.py: -------------------------------------------------------------------------------- 1 | """Configuration classes.""" 2 | 3 | from __future__ import annotations 4 | 5 | from dataclasses import dataclass 6 | from typing import TYPE_CHECKING 7 | 8 | from .enums import CitationMode, SearchFocus, SourceFocus, TimeRange 9 | 10 | 11 | if TYPE_CHECKING: 12 | from .models import Model 13 | from .types import Coordinates 14 | 15 | 16 | @dataclass(slots=True) 17 | class ConversationConfig: 18 | """Default settings for a conversation. Can be overridden per message.""" 19 | 20 | model: Model | None = None 21 | citation_mode: CitationMode = CitationMode.CLEAN 22 | save_to_library: bool = False 23 | search_focus: SearchFocus = SearchFocus.WEB 24 | source_focus: SourceFocus | list[SourceFocus] = SourceFocus.WEB 25 | time_range: TimeRange = TimeRange.ALL 26 | language: str = "en-US" 27 | timezone: str | None = None 28 | coordinates: Coordinates | None = None 29 | 30 | 31 | @dataclass(frozen=True, slots=True) 32 | class ClientConfig: 33 | """HTTP client settings.""" 34 | 35 | timeout: int = 3600 36 | impersonate: str = "chrome" 37 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2025 Henrique 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /src/perplexity_webui_scraper/__init__.py: -------------------------------------------------------------------------------- 1 | """Extract AI responses from Perplexity's web interface.""" 2 | 3 | from importlib import metadata 4 | 5 | from .config import ClientConfig, ConversationConfig 6 | from .core import Conversation, Perplexity 7 | from .enums import CitationMode, SearchFocus, SourceFocus, TimeRange 8 | from .exceptions import ( 9 | AuthenticationError, 10 | FileUploadError, 11 | FileValidationError, 12 | PerplexityError, 13 | RateLimitError, 14 | ) 15 | from .models import Model, Models 16 | from .types import Coordinates, Response, SearchResultItem 17 | 18 | 19 | __version__: str = metadata.version("perplexity-webui-scraper") 20 | __all__: list[str] = [ 21 | "AuthenticationError", 22 | "CitationMode", 23 | "ClientConfig", 24 | "Conversation", 25 | "ConversationConfig", 26 | "Coordinates", 27 | "FileUploadError", 28 | "FileValidationError", 29 | "Model", 30 | "Models", 31 | "Perplexity", 32 | "PerplexityError", 33 | "RateLimitError", 34 | "Response", 35 | "SearchFocus", 36 | "SearchResultItem", 37 | "SourceFocus", 38 | "TimeRange", 39 | ] 40 | -------------------------------------------------------------------------------- /src/perplexity_webui_scraper/types.py: -------------------------------------------------------------------------------- 1 | """Response types and data models.""" 2 | 3 | from __future__ import annotations 4 | 5 | from dataclasses import dataclass, field 6 | from typing import Any 7 | 8 | 9 | @dataclass(frozen=True, slots=True) 10 | class Coordinates: 11 | """Geographic coordinates (lat/lng).""" 12 | 13 | latitude: float 14 | longitude: float 15 | 16 | 17 | @dataclass(frozen=True, slots=True) 18 | class SearchResultItem: 19 | """A single search result.""" 20 | 21 | title: str | None = None 22 | snippet: str | None = None 23 | url: str | None = None 24 | 25 | 26 | @dataclass(slots=True) 27 | class Response: 28 | """Response from Perplexity AI.""" 29 | 30 | title: str | None = None 31 | answer: str | None = None 32 | chunks: list[str] = field(default_factory=list) 33 | last_chunk: str | None = None 34 | search_results: list[SearchResultItem] = field(default_factory=list) 35 | conversation_uuid: str | None = None 36 | raw_data: dict[str, Any] = field(default_factory=dict) 37 | 38 | 39 | @dataclass(frozen=True, slots=True) 40 | class _FileInfo: 41 | """Internal file info for uploads.""" 42 | 43 | path: str 44 | size: int 45 | mimetype: str 46 | is_image: bool 47 | -------------------------------------------------------------------------------- /src/perplexity_webui_scraper/exceptions.py: -------------------------------------------------------------------------------- 1 | """Custom exceptions for Perplexity WebUI Scraper.""" 2 | 3 | from __future__ import annotations 4 | 5 | 6 | class PerplexityError(Exception): 7 | """Base exception for all Perplexity-related errors.""" 8 | 9 | def __init__(self, message: str, status_code: int | None = None) -> None: 10 | self.message = message 11 | self.status_code = status_code 12 | super().__init__(message) 13 | 14 | 15 | class AuthenticationError(PerplexityError): 16 | """Raised when session token is invalid or expired (HTTP 403).""" 17 | 18 | def __init__(self, message: str | None = None) -> None: 19 | super().__init__( 20 | message 21 | or "Access forbidden (403). Your session token is invalid or expired. " 22 | "Please obtain a new session token from your browser cookies.", 23 | status_code=403, 24 | ) 25 | 26 | 27 | class RateLimitError(PerplexityError): 28 | """Raised when rate limit is exceeded (HTTP 429).""" 29 | 30 | def __init__(self, message: str | None = None) -> None: 31 | super().__init__( 32 | message or "Rate limit exceeded (429). Please wait a moment before trying again.", 33 | status_code=429, 34 | ) 35 | 36 | 37 | class FileUploadError(PerplexityError): 38 | """Raised when file upload fails.""" 39 | 40 | def __init__(self, file_path: str, reason: str) -> None: 41 | self.file_path = file_path 42 | super().__init__(f"Upload failed for '{file_path}': {reason}") 43 | 44 | 45 | class FileValidationError(PerplexityError): 46 | """Raised when file validation fails.""" 47 | 48 | def __init__(self, file_path: str, reason: str) -> None: 49 | self.file_path = file_path 50 | super().__init__(f"File validation failed for '{file_path}': {reason}") 51 | -------------------------------------------------------------------------------- /src/perplexity_webui_scraper/constants.py: -------------------------------------------------------------------------------- 1 | """Constants and values for the Perplexity internal API and HTTP interactions.""" 2 | 3 | from __future__ import annotations 4 | 5 | from re import Pattern, compile 6 | from typing import Final 7 | 8 | 9 | # API Configuration 10 | API_VERSION: Final[str] = "2.18" 11 | """Current API version used by Perplexity WebUI.""" 12 | 13 | API_BASE_URL: Final[str] = "https://www.perplexity.ai" 14 | """Base URL for all API requests.""" 15 | 16 | # API Endpoints 17 | ENDPOINT_ASK: Final[str] = "/rest/sse/perplexity_ask" 18 | """SSE endpoint for sending prompts.""" 19 | 20 | ENDPOINT_SEARCH_INIT: Final[str] = "/search/new" 21 | """Endpoint to initialize a search session.""" 22 | 23 | ENDPOINT_UPLOAD: Final[str] = "/rest/uploads/batch_create_upload_urls" 24 | """Endpoint for file upload URL generation.""" 25 | 26 | # API Fixed Parameters 27 | SEND_BACK_TEXT: Final[bool] = True 28 | """ 29 | Whether to receive full text in each streaming chunk. 30 | 31 | True = API sends complete text each chunk (replace mode). 32 | False = API sends delta chunks only (accumulate mode). 33 | """ 34 | 35 | USE_SCHEMATIZED_API: Final[bool] = False 36 | """Whether to use the schematized API format.""" 37 | 38 | PROMPT_SOURCE: Final[str] = "user" 39 | """Source identifier for prompts.""" 40 | 41 | # Regex Patterns (Pre-compiled for performance in streaming parsing) 42 | CITATION_PATTERN: Final[Pattern[str]] = compile(r"\[(\d{1,2})\]") 43 | """ 44 | Regex pattern for matching citation markers like [1], [2], etc. 45 | 46 | Uses word boundary to avoid matching things like [123]. 47 | """ 48 | 49 | JSON_OBJECT_PATTERN: Final[Pattern[str]] = compile(r"^\{.*\}$") 50 | """Pattern to detect JSON object strings.""" 51 | 52 | # HTTP Headers 53 | DEFAULT_HEADERS: Final[dict[str, str]] = { 54 | "Accept": "text/event-stream, application/json", 55 | "Content-Type": "application/json", 56 | } 57 | """ 58 | Default HTTP headers for API requests. 59 | 60 | Referer and Origin are added dynamically based on BASE_URL. 61 | """ 62 | 63 | SESSION_COOKIE_NAME: Final[str] = "__Secure-next-auth.session-token" 64 | """Name of the session cookie used for authentication.""" 65 | -------------------------------------------------------------------------------- /src/perplexity_webui_scraper/enums.py: -------------------------------------------------------------------------------- 1 | """Enums for Perplexity WebUI Scraper configuration options.""" 2 | 3 | from __future__ import annotations 4 | 5 | from enum import Enum 6 | 7 | 8 | class CitationMode(str, Enum): 9 | """Citation formatting modes for response text. 10 | 11 | Controls how citation markers (e.g., [1], [2]) are formatted in the response. 12 | """ 13 | 14 | DEFAULT = "default" 15 | """Keep original Perplexity citation format (e.g., 'This is a citation[1]').""" 16 | 17 | MARKDOWN = "markdown" 18 | """Convert citations to markdown links (e.g., 'This is a citation[1](https://example.com)').""" 19 | 20 | CLEAN = "clean" 21 | """Remove all citation markers (e.g., 'This is a citation').""" 22 | 23 | 24 | class SearchFocus(str, Enum): 25 | """Search focus types that control the type of search performed. 26 | 27 | Determines whether to search the web or focus on writing tasks. 28 | """ 29 | 30 | WEB = "internet" 31 | """Search the web for information. Best for factual queries and research.""" 32 | 33 | WRITING = "writing" 34 | """Focus on writing tasks. Best for creative writing, editing, and text generation.""" 35 | 36 | 37 | class SourceFocus(str, Enum): 38 | """Source focus types that control which sources to prioritize. 39 | 40 | Can be combined (e.g., [SourceFocus.WEB, SourceFocus.ACADEMIC]) for multi-source searches. 41 | """ 42 | 43 | WEB = "web" 44 | """Search across the entire internet. General web search.""" 45 | 46 | ACADEMIC = "scholar" 47 | """Search academic papers and scholarly articles (Google Scholar, etc.).""" 48 | 49 | SOCIAL = "social" 50 | """Search social media for discussions and opinions (Reddit, Twitter, etc.).""" 51 | 52 | FINANCE = "edgar" 53 | """Search SEC EDGAR filings for financial and corporate documents.""" 54 | 55 | 56 | class TimeRange(str, Enum): 57 | """Time range filters for search results. 58 | 59 | Controls how recent the sources should be. 60 | """ 61 | 62 | ALL = "" 63 | """Include sources from all time. No time restriction.""" 64 | 65 | TODAY = "DAY" 66 | """Include only sources from today (last 24 hours).""" 67 | 68 | LAST_WEEK = "WEEK" 69 | """Include sources from the last 7 days.""" 70 | 71 | LAST_MONTH = "MONTH" 72 | """Include sources from the last 30 days.""" 73 | 74 | LAST_YEAR = "YEAR" 75 | """Include sources from the last 365 days.""" 76 | -------------------------------------------------------------------------------- /src/perplexity_webui_scraper/models.py: -------------------------------------------------------------------------------- 1 | """AI model definitions for Perplexity WebUI Scraper.""" 2 | 3 | from __future__ import annotations 4 | 5 | from dataclasses import dataclass 6 | 7 | 8 | @dataclass(frozen=True, slots=True) 9 | class Model: 10 | """AI model configuration. 11 | 12 | Attributes: 13 | identifier: Model identifier used by the API. 14 | mode: Model execution mode. Default: "copilot". 15 | """ 16 | 17 | identifier: str 18 | mode: str = "copilot" 19 | 20 | 21 | class Models: 22 | """Available AI models with their configurations. 23 | 24 | All models use the "copilot" mode which enables web search. 25 | """ 26 | 27 | RESEARCH = Model(identifier="pplx_alpha") 28 | """Research - Fast and thorough for routine research""" 29 | 30 | LABS = Model(identifier="pplx_beta") 31 | """Labs - Multi-step tasks with advanced troubleshooting""" 32 | 33 | BEST = Model(identifier="pplx_pro_upgraded") 34 | """Best - Automatically selects the most responsive model based on the query""" 35 | 36 | SONAR = Model(identifier="experimental") 37 | """Sonar - Perplexity's fast model""" 38 | 39 | GPT_52 = Model(identifier="gpt52") 40 | """GPT-5.2 - OpenAI's latest model""" 41 | 42 | GPT_52_THINKING = Model(identifier="gpt52_thinking") 43 | """GPT-5.2 Thinking - OpenAI's latest model with thinking""" 44 | 45 | CLAUDE_45_OPUS = Model(identifier="claude45opus") 46 | """Claude Opus 4.5 - Anthropic's Opus reasoning model""" 47 | 48 | CLAUDE_45_OPUS_THINKING = Model(identifier="claude45opusthinking") 49 | """Claude Opus 4.5 Thinking - Anthropic's Opus reasoning model with thinking""" 50 | 51 | GEMINI_3_PRO = Model(identifier="gemini30pro") 52 | """Gemini 3 Pro - Google's newest reasoning model""" 53 | 54 | GEMINI_3_FLASH = Model(identifier="gemini30flash") 55 | """Gemini 3 Flash - Google's fast reasoning model""" 56 | 57 | GEMINI_3_FLASH_THINKING = Model(identifier="gemini30flash_high") 58 | """Gemini 3 Flash Thinking - Google's fast reasoning model with enhanced thinking""" 59 | 60 | GROK_41 = Model(identifier="grok41nonreasoning") 61 | """Grok 4.1 - xAI's latest advanced model""" 62 | 63 | GROK_41_THINKING = Model(identifier="grok41reasoning") 64 | """Grok 4.1 Thinking - xAI's latest reasoning model""" 65 | 66 | KIMI_K2_THINKING = Model(identifier="kimik2thinking") 67 | """Kimi K2 Thinking - Moonshot AI's latest reasoning model""" 68 | 69 | CLAUDE_45_SONNET = Model(identifier="claude45sonnet") 70 | """Claude Sonnet 4.5 - Anthropic's newest advanced model""" 71 | 72 | CLAUDE_45_SONNET_THINKING = Model(identifier="claude45sonnetthinking") 73 | """Claude Sonnet 4.5 Thinking - Anthropic's newest reasoning model""" 74 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "perplexity-webui-scraper" 3 | version = "0.3.4" 4 | description = "Python scraper to extract AI responses from Perplexity's web interface." 5 | authors = [{ name = "henrique-coder", email = "henriquemoreira10fk@gmail.com" }] 6 | license = "MIT" 7 | readme = "README.md" 8 | requires-python = ">=3.10" 9 | keywords = ["perplexity", "ai", "scraper", "webui", "api", "client"] 10 | classifiers = [ 11 | "Development Status :: 4 - Beta", 12 | "Intended Audience :: Developers", 13 | "License :: OSI Approved :: MIT License", 14 | "Operating System :: OS Independent", 15 | "Programming Language :: Python :: 3", 16 | "Programming Language :: Python :: 3.10", 17 | "Programming Language :: Python :: 3.11", 18 | "Programming Language :: Python :: 3.12", 19 | "Programming Language :: Python :: 3.13", 20 | "Programming Language :: Python :: 3.14", 21 | "Topic :: Internet :: WWW/HTTP", 22 | "Topic :: Software Development :: Libraries :: Python Modules", 23 | "Typing :: Typed", 24 | ] 25 | dependencies = [ 26 | "curl-cffi>=0.14.0", 27 | "orjson>=3.11.5", 28 | "pydantic>=2.12.5", 29 | ] 30 | 31 | [dependency-groups] 32 | dev = [ 33 | "beautifulsoup4>=4.14.3", 34 | "jsbeautifier>=1.15.4", 35 | "lxml>=6.0.2", 36 | "python-dotenv>=1.2.1", 37 | "rich>=14.2.0", 38 | ] 39 | lint = [ 40 | "ruff>=0.14.10", 41 | ] 42 | tests = [ 43 | "pytest>=9.0.2", 44 | ] 45 | 46 | [project.urls] 47 | Homepage = "https://github.com/henrique-coder/perplexity-webui-scraper" 48 | Documentation = "https://github.com/henrique-coder/perplexity-webui-scraper#readme" 49 | Repository = "https://github.com/henrique-coder/perplexity-webui-scraper.git" 50 | Issues = "https://github.com/henrique-coder/perplexity-webui-scraper/issues" 51 | Changelog = "https://github.com/henrique-coder/perplexity-webui-scraper/releases" 52 | 53 | [tool.ruff] 54 | line-length = 120 55 | indent-width = 4 56 | 57 | [tool.ruff.lint] 58 | select = [ 59 | "F", # Pyflakes: unused imports/variables, undefined names 60 | "E", # pycodestyle errors: basic PEP 8 style violations 61 | "W", # pycodestyle warnings: whitespace issues, blank lines 62 | "I", # isort: import sorting and organization 63 | "UP", # pyupgrade: upgrade syntax for newer Python versions 64 | "B", # flake8-bugbear: common bugs and design problems 65 | "SIM", # flake8-simplify: simplify complex code patterns 66 | "C4", # flake8-comprehensions: better list/dict/set comprehensions 67 | "PIE", # flake8-pie: misc. lints (unnecessary pass, duplicate keys) 68 | "RUF", # Ruff-specific: modern Python best practices 69 | "PERF", # Perflint: performance anti-patterns 70 | "FURB", # refurb: modernize legacy Python idioms 71 | "PTH", # flake8-use-pathlib: prefer pathlib over os.path 72 | "T20", # flake8-print: detect leftover print() statements 73 | "TCH", # flake8-type-checking: optimize TYPE_CHECKING imports 74 | "PL", # Pylint: broad set of code quality checks 75 | "D205", # 1 blank line required between docstring and code 76 | ] 77 | ignore = [ 78 | "PLR0912", # Too many branches (complex validation logic is acceptable) 79 | "PLR0913", # Too many arguments in function definition (common in APIs) 80 | "PLR2004", # Magic value used in comparison (too strict for general use) 81 | ] 82 | fixable = ["ALL"] # Allow auto-fix for all enabled rules 83 | dummy-variable-rgx = "^_$" # Only underscore is considered a dummy variable 84 | 85 | [tool.ruff.lint.isort] 86 | known-first-party = ["perplexity_webui_scraper"] 87 | lines-after-imports = 2 # PEP 8: two blank lines after imports 88 | force-sort-within-sections = true # Alphabetical order within each section 89 | split-on-trailing-comma = true # Trailing comma triggers multi-line format 90 | 91 | [tool.ruff.lint.pydocstyle] 92 | convention = "google" # Google-style docstrings (Args, Returns, Raises) 93 | 94 | [tool.ruff.lint.flake8-quotes] 95 | docstring-quotes = "double" # Docstrings must use triple double quotes 96 | 97 | [tool.ruff.format] 98 | quote-style = "double" # Strings use double quotes (PEP 8 preference) 99 | indent-style = "space" # Spaces over tabs (PEP 8) 100 | line-ending = "lf" # Unix-style line endings 101 | docstring-code-format = true # Format code examples inside docstrings 102 | skip-magic-trailing-comma = false # Preserve trailing commas as formatting hints 103 | 104 | [project.scripts] 105 | get-perplexity-session-token = "perplexity_webui_scraper.cli.get_perplexity_session_token:get_token" 106 | 107 | [build-system] 108 | requires = ["uv_build"] 109 | build-backend = "uv_build" 110 | -------------------------------------------------------------------------------- /src/perplexity_webui_scraper/http.py: -------------------------------------------------------------------------------- 1 | """HTTP client wrapper for Perplexity API requests.""" 2 | 3 | from __future__ import annotations 4 | 5 | from typing import TYPE_CHECKING, Any 6 | 7 | from curl_cffi.requests import Response as CurlResponse 8 | 9 | 10 | if TYPE_CHECKING: 11 | from collections.abc import Generator 12 | 13 | from curl_cffi.requests import Session 14 | 15 | from .constants import ( 16 | API_BASE_URL, 17 | DEFAULT_HEADERS, 18 | ENDPOINT_ASK, 19 | ENDPOINT_SEARCH_INIT, 20 | SESSION_COOKIE_NAME, 21 | ) 22 | from .exceptions import AuthenticationError, PerplexityError, RateLimitError 23 | from .limits import DEFAULT_TIMEOUT 24 | 25 | 26 | class HTTPClient: 27 | """HTTP client wrapper with error handling for Perplexity API. 28 | 29 | Provides a unified interface for making HTTP requests with automatic 30 | error handling and response processing. 31 | """ 32 | 33 | __slots__ = ("_session",) 34 | 35 | def __init__( 36 | self, 37 | session_token: str, 38 | timeout: int = DEFAULT_TIMEOUT, 39 | impersonate: str = "chrome", 40 | ) -> None: 41 | """Initialize the HTTP client.""" 42 | 43 | headers: dict[str, str] = { 44 | **DEFAULT_HEADERS, 45 | "Referer": f"{API_BASE_URL}/", 46 | "Origin": API_BASE_URL, 47 | } 48 | cookies: dict[str, str] = {SESSION_COOKIE_NAME: session_token} 49 | 50 | self._session: Session = Session( 51 | headers=headers, 52 | cookies=cookies, 53 | timeout=timeout, 54 | impersonate=impersonate, 55 | ) 56 | 57 | def _handle_error(self, error: Exception, context: str = "") -> None: 58 | """Handle HTTP errors and raise appropriate custom exceptions. 59 | 60 | Args: 61 | error: The original exception. 62 | context: Additional context for the error message. 63 | 64 | Raises: 65 | AuthenticationError: If status code is 403. 66 | RateLimitError: If status code is 429. 67 | PerplexityError: For other HTTP errors. 68 | """ 69 | 70 | status_code = None 71 | 72 | if hasattr(error, "response") and error.response is not None: 73 | status_code = getattr(error.response, "status_code", None) 74 | 75 | if status_code == 403: 76 | raise AuthenticationError() from error 77 | elif status_code == 429: 78 | raise RateLimitError() from error 79 | elif status_code is not None: 80 | raise PerplexityError(f"{context}HTTP {status_code}: {error!s}", status_code=status_code) from error 81 | else: 82 | raise PerplexityError(f"{context}{error!s}") from error 83 | 84 | def get(self, endpoint: str, params: dict[str, Any] | None = None) -> CurlResponse: 85 | """Make a GET request. 86 | 87 | Args: 88 | endpoint: The API endpoint (relative to BASE_URL). 89 | params: Optional query parameters. 90 | 91 | Returns: 92 | The response object. 93 | 94 | Raises: 95 | AuthenticationError: If session token is invalid. 96 | RateLimitError: If rate limit is exceeded. 97 | PerplexityError: For other errors. 98 | """ 99 | 100 | url = f"{API_BASE_URL}{endpoint}" if endpoint.startswith("/") else endpoint 101 | 102 | try: 103 | response = self._session.get(url, params=params) 104 | response.raise_for_status() 105 | 106 | return response 107 | except Exception as e: 108 | self._handle_error(e, f"GET {endpoint}: ") 109 | 110 | def post( 111 | self, 112 | endpoint: str, 113 | json: dict[str, Any] | None = None, 114 | stream: bool = False, 115 | ) -> CurlResponse: 116 | """Make a POST request. 117 | 118 | Args: 119 | endpoint: The API endpoint (relative to BASE_URL). 120 | json: JSON data to send. 121 | stream: Whether to stream the response. 122 | 123 | Returns: 124 | The response object. 125 | 126 | Raises: 127 | AuthenticationError: If session token is invalid. 128 | RateLimitError: If rate limit is exceeded. 129 | PerplexityError: For other errors. 130 | """ 131 | 132 | url = f"{API_BASE_URL}{endpoint}" if endpoint.startswith("/") else endpoint 133 | 134 | try: 135 | response = self._session.post(url, json=json, stream=stream) 136 | response.raise_for_status() 137 | 138 | return response 139 | except Exception as e: 140 | self._handle_error(e, f"POST {endpoint}: ") 141 | 142 | def stream_lines(self, endpoint: str, json: dict[str, Any]) -> Generator[bytes, None, None]: 143 | """Make a streaming POST request and yield lines. 144 | 145 | Args: 146 | endpoint: The API endpoint. 147 | json: JSON data to send. 148 | 149 | Yields: 150 | Response lines as bytes. 151 | 152 | Raises: 153 | AuthenticationError: If session token is invalid. 154 | RateLimitError: If rate limit is exceeded. 155 | PerplexityError: For other errors. 156 | """ 157 | 158 | response = self.post(endpoint, json=json, stream=True) 159 | 160 | try: 161 | yield from response.iter_lines() 162 | finally: 163 | response.close() 164 | 165 | def init_search(self, query: str) -> None: 166 | """Initialize a search session. 167 | 168 | This is required before making a prompt request. 169 | 170 | Args: 171 | query: The search query. 172 | """ 173 | 174 | self.get(ENDPOINT_SEARCH_INIT, params={"q": query}) 175 | 176 | def stream_ask(self, payload: dict[str, Any]) -> Generator[bytes, None, None]: 177 | """Stream a prompt request to the ask endpoint. 178 | 179 | Args: 180 | payload: The request payload. 181 | 182 | Yields: 183 | Response lines as bytes. 184 | """ 185 | 186 | yield from self.stream_lines(ENDPOINT_ASK, json=payload) 187 | 188 | def close(self) -> None: 189 | """Close the HTTP session.""" 190 | 191 | self._session.close() 192 | 193 | def __enter__(self) -> HTTPClient: 194 | return self 195 | 196 | def __exit__(self, *args: Any) -> None: 197 | self.close() 198 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 |
2 | 3 | # Perplexity WebUI Scraper 4 | 5 | Python scraper to extract AI responses from [Perplexity's](https://www.perplexity.ai) web interface. 6 | 7 | [![PyPI](https://img.shields.io/pypi/v/perplexity-webui-scraper?color=blue)](https://pypi.org/project/perplexity-webui-scraper) 8 | [![Python](https://img.shields.io/pypi/pyversions/perplexity-webui-scraper)](https://pypi.org/project/perplexity-webui-scraper) 9 | [![License](https://img.shields.io/github/license/henrique-coder/perplexity-webui-scraper?color=green)](./LICENSE) 10 | 11 |
12 | 13 | --- 14 | 15 | ## Installation 16 | 17 | ```bash 18 | uv pip install perplexity-webui-scraper 19 | ``` 20 | 21 | ## Requirements 22 | 23 | - **Perplexity Pro/Max account** 24 | - **Session token** (`__Secure-next-auth.session-token` cookie from your browser) 25 | 26 | ### Getting Your Session Token 27 | 28 | You can obtain your session token in two ways: 29 | 30 | #### Option 1: Automatic (CLI Tool) 31 | 32 | The package includes a CLI tool to automatically generate and save your session token: 33 | 34 | ```bash 35 | get-perplexity-session-token 36 | ``` 37 | 38 | This interactive tool will: 39 | 40 | 1. Ask for your Perplexity email 41 | 2. Send a verification code to your email 42 | 3. Accept either a 6-digit code or magic link 43 | 4. Extract and display your session token 44 | 5. Optionally save it to your `.env` file 45 | 46 | **Features:** 47 | 48 | - Secure ephemeral session (cleared on exit) 49 | - Automatic `.env` file management 50 | - Support for both OTP codes and magic links 51 | - Clean terminal interface with status updates 52 | 53 | #### Option 2: Manual (Browser) 54 | 55 | If you prefer to extract the token manually: 56 | 57 | 1. Log in at [perplexity.ai](https://www.perplexity.ai) 58 | 2. Open DevTools (`F12`) → Application/Storage → Cookies 59 | 3. Copy the value of `__Secure-next-auth.session-token` 60 | 4. Store in `.env`: `PERPLEXITY_SESSION_TOKEN="your_token"` 61 | 62 | ## Quick Start 63 | 64 | ```python 65 | from perplexity_webui_scraper import Perplexity 66 | 67 | client = Perplexity(session_token="YOUR_TOKEN") 68 | conversation = client.create_conversation() 69 | 70 | conversation.ask("What is quantum computing?") 71 | print(conversation.answer) 72 | 73 | # Follow-up 74 | conversation.ask("Explain it simpler") 75 | print(conversation.answer) 76 | ``` 77 | 78 | ### Streaming 79 | 80 | ```python 81 | for chunk in conversation.ask("Explain AI", stream=True): 82 | print(chunk.answer) 83 | ``` 84 | 85 | ### With Options 86 | 87 | ```python 88 | from perplexity_webui_scraper import ( 89 | ConversationConfig, 90 | Coordinates, 91 | Models, 92 | SourceFocus, 93 | ) 94 | 95 | config = ConversationConfig( 96 | model=Models.RESEARCH, 97 | source_focus=[SourceFocus.WEB, SourceFocus.ACADEMIC], 98 | language="en-US", 99 | coordinates=Coordinates(latitude=40.7128, longitude=-74.0060), 100 | ) 101 | 102 | conversation = client.create_conversation(config) 103 | conversation.ask("Latest AI research", files=["paper.pdf"]) 104 | ``` 105 | 106 | ## API 107 | 108 | ### `Perplexity(session_token, config?)` 109 | 110 | | Parameter | Type | Description | 111 | | --------------- | -------------- | ------------------ | 112 | | `session_token` | `str` | Browser cookie | 113 | | `config` | `ClientConfig` | Timeout, TLS, etc. | 114 | 115 | ### `Conversation.ask(query, model?, files?, citation_mode?, stream?)` 116 | 117 | | Parameter | Type | Default | Description | 118 | | --------------- | ----------------------- | ------------- | ------------------- | 119 | | `query` | `str` | - | Question (required) | 120 | | `model` | `Model` | `Models.BEST` | AI model | 121 | | `files` | `list[str \| PathLike]` | `None` | File paths | 122 | | `citation_mode` | `CitationMode` | `CLEAN` | Citation format | 123 | | `stream` | `bool` | `False` | Enable streaming | 124 | 125 | ### Models 126 | 127 | | Model | Description | 128 | | ---------------------------------- | ------------------------------------------------------------------------- | 129 | | `Models.RESEARCH` | Research - Fast and thorough for routine research | 130 | | `Models.LABS` | Labs - Multi-step tasks with advanced troubleshooting | 131 | | `Models.BEST` | Best - Automatically selects the most responsive model based on the query | 132 | | `Models.SONAR` | Sonar - Perplexity's fast model | 133 | | `Models.GPT_52` | GPT-5.2 - OpenAI's latest model | 134 | | `Models.GPT_52_THINKING` | GPT-5.2 Thinking - OpenAI's latest model with thinking | 135 | | `Models.CLAUDE_45_OPUS` | Claude Opus 4.5 - Anthropic's Opus reasoning model | 136 | | `Models.CLAUDE_45_OPUS_THINKING` | Claude Opus 4.5 Thinking - Anthropic's Opus reasoning model with thinking | 137 | | `Models.GEMINI_3_PRO` | Gemini 3 Pro - Google's newest reasoning model | 138 | | `Models.GEMINI_3_FLASH` | Gemini 3 Flash - Google's fast reasoning model | 139 | | `Models.GEMINI_3_FLASH_THINKING` | Gemini 3 Flash Thinking - Google's fast reasoning model with thinking | 140 | | `Models.GROK_41` | Grok 4.1 - xAI's latest advanced model | 141 | | `Models.GROK_41_THINKING` | Grok 4.1 Thinking - xAI's latest reasoning model | 142 | | `Models.KIMI_K2_THINKING` | Kimi K2 Thinking - Moonshot AI's latest reasoning model | 143 | | `Models.CLAUDE_45_SONNET` | Claude Sonnet 4.5 - Anthropic's newest advanced model | 144 | | `Models.CLAUDE_45_SONNET_THINKING` | Claude Sonnet 4.5 Thinking - Anthropic's newest reasoning model | 145 | 146 | ### CitationMode 147 | 148 | | Mode | Output | 149 | | ---------- | --------------------- | 150 | | `DEFAULT` | `text[1]` | 151 | | `MARKDOWN` | `text[1](url)` | 152 | | `CLEAN` | `text` (no citations) | 153 | 154 | ### ConversationConfig 155 | 156 | | Parameter | Default | Description | 157 | | ----------------- | ------------- | ------------------ | 158 | | `model` | `Models.BEST` | Default model | 159 | | `citation_mode` | `CLEAN` | Citation format | 160 | | `save_to_library` | `False` | Save to library | 161 | | `search_focus` | `WEB` | Search type | 162 | | `source_focus` | `WEB` | Source types | 163 | | `time_range` | `ALL` | Time filter | 164 | | `language` | `"en-US"` | Response language | 165 | | `timezone` | `None` | Timezone | 166 | | `coordinates` | `None` | Location (lat/lng) | 167 | 168 | ## CLI Tools 169 | 170 | ### Session Token Generator 171 | 172 | ```bash 173 | get-perplexity-session-token 174 | ``` 175 | 176 | Interactive tool to automatically obtain your Perplexity session token via email authentication. The token can be automatically saved to your `.env` file for immediate use. 177 | 178 | ## Disclaimer 179 | 180 | This is an **unofficial** library. It uses internal APIs that may change without notice. Use at your own risk. Not for production use. 181 | 182 | By using this library, you agree to Perplexity AI's Terms of Service. 183 | -------------------------------------------------------------------------------- /src/perplexity_webui_scraper/cli/get_perplexity_session_token.py: -------------------------------------------------------------------------------- 1 | """CLI utility for secure Perplexity authentication and session extraction.""" 2 | 3 | from __future__ import annotations 4 | 5 | from pathlib import Path 6 | from sys import exit 7 | from typing import NoReturn 8 | 9 | from curl_cffi.requests import Session 10 | from rich.console import Console 11 | from rich.panel import Panel 12 | from rich.prompt import Confirm, Prompt 13 | 14 | 15 | # Constants 16 | BASE_URL: str = "https://www.perplexity.ai" 17 | ENV_KEY: str = "PERPLEXITY_SESSION_TOKEN" 18 | 19 | 20 | # Initialize console on stderr to ensure secure alternate screen usage 21 | console = Console(stderr=True, soft_wrap=True) 22 | 23 | 24 | def update_env(token: str) -> bool: 25 | """ 26 | Securely updates the .env file with the session token. 27 | 28 | Preserves existing content and comments. 29 | """ 30 | 31 | path = Path(".env") 32 | line_entry = f'{ENV_KEY}="{token}"' 33 | 34 | try: 35 | lines = path.read_text(encoding="utf-8").splitlines() if path.exists() else [] 36 | updated = False 37 | new_lines = [] 38 | 39 | for line in lines: 40 | if line.strip().startswith(ENV_KEY): 41 | new_lines.append(line_entry) 42 | updated = True 43 | else: 44 | new_lines.append(line) 45 | 46 | if not updated: 47 | if new_lines and new_lines[-1] != "": 48 | new_lines.append("") 49 | 50 | new_lines.append(line_entry) 51 | 52 | path.write_text("\n".join(new_lines) + "\n", encoding="utf-8") 53 | 54 | return True 55 | except Exception: 56 | return False 57 | 58 | 59 | def _initialize_session() -> tuple[Session, str]: 60 | """Initialize session and obtain CSRF token.""" 61 | 62 | session = Session(impersonate="chrome", headers={"Referer": BASE_URL, "Origin": BASE_URL}) 63 | 64 | with console.status("[bold green]Initializing secure connection...", spinner="dots"): 65 | session.get(BASE_URL) 66 | csrf_data = session.get(f"{BASE_URL}/api/auth/csrf").json() 67 | csrf = csrf_data.get("csrfToken") 68 | 69 | if not csrf: 70 | raise ValueError("Failed to obtain CSRF token.") 71 | 72 | return session, csrf 73 | 74 | 75 | def _request_verification_code(session: Session, csrf: str, email: str) -> None: 76 | """Send verification code to user's email.""" 77 | 78 | with console.status("[bold green]Sending verification code...", spinner="dots"): 79 | r = session.post( 80 | f"{BASE_URL}/api/auth/signin/email?version=2.18&source=default", 81 | json={ 82 | "email": email, 83 | "csrfToken": csrf, 84 | "useNumericOtp": "true", 85 | "json": "true", 86 | "callbackUrl": f"{BASE_URL}/?login-source=floatingSignup", 87 | }, 88 | ) 89 | 90 | if r.status_code != 200: 91 | raise ValueError(f"Authentication request failed: {r.text}") 92 | 93 | 94 | def _validate_and_get_redirect_url(session: Session, email: str, user_input: str) -> str: 95 | """Validate user input (OTP or magic link) and return redirect URL.""" 96 | 97 | with console.status("[bold green]Validating...", spinner="dots"): 98 | if user_input.startswith("http"): 99 | return user_input 100 | 101 | r_otp = session.post( 102 | f"{BASE_URL}/api/auth/otp-redirect-link", 103 | json={ 104 | "email": email, 105 | "otp": user_input, 106 | "redirectUrl": f"{BASE_URL}/?login-source=floatingSignup", 107 | "emailLoginMethod": "web-otp", 108 | }, 109 | ) 110 | 111 | if r_otp.status_code != 200: 112 | raise ValueError("Invalid verification code.") 113 | 114 | redirect_path = r_otp.json().get("redirect") 115 | 116 | if not redirect_path: 117 | raise ValueError("No redirect URL received.") 118 | 119 | return f"{BASE_URL}{redirect_path}" if redirect_path.startswith("/") else redirect_path 120 | 121 | 122 | def _extract_session_token(session: Session, redirect_url: str) -> str: 123 | """Extract session token from cookies after authentication.""" 124 | 125 | session.get(redirect_url) 126 | token = session.cookies.get("__Secure-next-auth.session-token") 127 | 128 | if not token: 129 | raise ValueError("Authentication successful, but token not found.") 130 | 131 | return token 132 | 133 | 134 | def _display_and_save_token(token: str) -> None: 135 | """Display token and optionally save to .env file.""" 136 | 137 | console.print("\n[bold green]✅ Token generated successfully![/bold green]") 138 | console.print(f"\n[bold white]Your session token:[/bold white]\n[green]{token}[/green]\n") 139 | 140 | prompt_text = f"Save token to [bold yellow].env[/bold yellow] file ({ENV_KEY})?" 141 | 142 | if Confirm.ask(prompt_text, default=True, console=console): 143 | if update_env(token): 144 | console.print("[dim]Token saved to .env successfully.[/dim]") 145 | else: 146 | console.print("[red]Failed to save to .env file.[/red]") 147 | 148 | 149 | def _show_header() -> None: 150 | """Display welcome header.""" 151 | 152 | console.print( 153 | Panel( 154 | "[bold white]Perplexity WebUI Scraper[/bold white]\n\n" 155 | "Automatic session token generator via email authentication.\n" 156 | "[dim]All session data will be cleared on exit.[/dim]", 157 | title="🔐 Token Generator", 158 | border_style="cyan", 159 | ) 160 | ) 161 | 162 | 163 | def _show_exit_message() -> None: 164 | """Display security note and wait for user to exit.""" 165 | 166 | console.print("\n[bold yellow]⚠️ Security Note:[/bold yellow]") 167 | console.print("Press [bold white]ENTER[/bold white] to clear screen and exit.") 168 | console.input() 169 | 170 | 171 | def get_token() -> NoReturn: 172 | """ 173 | Executes the authentication flow within an ephemeral terminal screen. 174 | 175 | Handles CSRF, Email OTP/Link validation, and secure token display. 176 | """ 177 | 178 | with console.screen(): 179 | try: 180 | _show_header() 181 | 182 | # Step 1: Initialize session and get CSRF token 183 | session, csrf = _initialize_session() 184 | 185 | # Step 2: Get email and request verification code 186 | console.print("\n[bold cyan]Step 1: Email Verification[/bold cyan]") 187 | email = Prompt.ask(" Enter your Perplexity email", console=console) 188 | _request_verification_code(session, csrf, email) 189 | 190 | # Step 3: Get and validate user input (OTP or magic link) 191 | console.print("\n[bold cyan]Step 2: Verification[/bold cyan]") 192 | console.print(" Check your email for a [bold]6-digit code[/bold] or [bold]magic link[/bold].") 193 | user_input = Prompt.ask(" Enter code or paste link", console=console).strip() 194 | redirect_url = _validate_and_get_redirect_url(session, email, user_input) 195 | 196 | # Step 4: Extract session token 197 | token = _extract_session_token(session, redirect_url) 198 | 199 | # Step 5: Display and optionally save token 200 | _display_and_save_token(token) 201 | 202 | # Step 6: Exit 203 | _show_exit_message() 204 | 205 | exit(0) 206 | except KeyboardInterrupt: 207 | exit(0) 208 | except Exception as error: 209 | console.print(f"\n[bold red]⛔ Error:[/bold red] {error}") 210 | console.input("[dim]Press ENTER to exit...[/dim]") 211 | 212 | exit(1) 213 | 214 | 215 | if __name__ == "__main__": 216 | get_token() 217 | -------------------------------------------------------------------------------- /src/perplexity_webui_scraper/core.py: -------------------------------------------------------------------------------- 1 | """Core client implementation.""" 2 | 3 | from __future__ import annotations 4 | 5 | from mimetypes import guess_type 6 | from os import PathLike 7 | from pathlib import Path 8 | from typing import TYPE_CHECKING, Any 9 | from uuid import uuid4 10 | 11 | from orjson import JSONDecodeError, loads 12 | 13 | 14 | if TYPE_CHECKING: 15 | from collections.abc import Generator 16 | from re import Match 17 | 18 | from .config import ClientConfig, ConversationConfig 19 | from .constants import ( 20 | API_VERSION, 21 | CITATION_PATTERN, 22 | ENDPOINT_UPLOAD, 23 | JSON_OBJECT_PATTERN, 24 | PROMPT_SOURCE, 25 | SEND_BACK_TEXT, 26 | USE_SCHEMATIZED_API, 27 | ) 28 | from .enums import CitationMode 29 | from .exceptions import FileUploadError, FileValidationError 30 | from .http import HTTPClient 31 | from .limits import MAX_FILE_SIZE, MAX_FILES 32 | from .models import Model, Models 33 | from .types import Response, SearchResultItem, _FileInfo 34 | 35 | 36 | class Perplexity: 37 | """Web scraper for Perplexity AI conversations.""" 38 | 39 | __slots__ = ("_http",) 40 | 41 | def __init__(self, session_token: str, config: ClientConfig | None = None) -> None: 42 | """Initialize web scraper with session token. 43 | 44 | Args: 45 | session_token: Perplexity session cookie (__Secure-next-auth.session-token). 46 | config: Optional HTTP client configuration. 47 | 48 | Raises: 49 | ValueError: If session_token is empty or whitespace. 50 | """ 51 | 52 | if not session_token or not session_token.strip(): 53 | raise ValueError("session_token cannot be empty") 54 | 55 | cfg = config or ClientConfig() 56 | self._http = HTTPClient(session_token, timeout=cfg.timeout, impersonate=cfg.impersonate) 57 | 58 | def create_conversation(self, config: ConversationConfig | None = None) -> Conversation: 59 | """Create a new conversation.""" 60 | 61 | return Conversation(self._http, config or ConversationConfig()) 62 | 63 | def close(self) -> None: 64 | """Close the client.""" 65 | 66 | self._http.close() 67 | 68 | def __enter__(self) -> Perplexity: 69 | return self 70 | 71 | def __exit__(self, *args: Any) -> None: 72 | self.close() 73 | 74 | 75 | class Conversation: 76 | """Manage a Perplexity conversation with query and follow-up support.""" 77 | 78 | __slots__ = ( 79 | "_answer", 80 | "_backend_uuid", 81 | "_chunks", 82 | "_citation_mode", 83 | "_config", 84 | "_http", 85 | "_raw_data", 86 | "_read_write_token", 87 | "_search_results", 88 | "_stream_generator", 89 | "_title", 90 | ) 91 | 92 | def __init__(self, http: HTTPClient, config: ConversationConfig) -> None: 93 | self._http = http 94 | self._config = config 95 | self._citation_mode = CitationMode.DEFAULT 96 | self._backend_uuid: str | None = None 97 | self._read_write_token: str | None = None 98 | self._title: str | None = None 99 | self._answer: str | None = None 100 | self._chunks: list[str] = [] 101 | self._search_results: list[SearchResultItem] = [] 102 | self._raw_data: dict[str, Any] = {} 103 | self._stream_generator: Generator[Response, None, None] | None = None 104 | 105 | @property 106 | def answer(self) -> str | None: 107 | """Last response text.""" 108 | 109 | return self._answer 110 | 111 | @property 112 | def title(self) -> str | None: 113 | """Conversation title.""" 114 | 115 | return self._title 116 | 117 | @property 118 | def search_results(self) -> list[SearchResultItem]: 119 | """Search results from last response.""" 120 | 121 | return self._search_results 122 | 123 | @property 124 | def uuid(self) -> str | None: 125 | """Conversation UUID.""" 126 | 127 | return self._backend_uuid 128 | 129 | def __iter__(self) -> Generator[Response, None, None]: 130 | if self._stream_generator is not None: 131 | yield from self._stream_generator 132 | 133 | self._stream_generator = None 134 | 135 | def ask( 136 | self, 137 | query: str, 138 | model: Model | None = None, 139 | files: list[str | PathLike] | None = None, 140 | citation_mode: CitationMode | None = None, 141 | stream: bool = False, 142 | ) -> Conversation: 143 | """Ask a question. Returns self for method chaining or streaming iteration.""" 144 | 145 | effective_model = model or self._config.model or Models.BEST 146 | effective_citation = citation_mode if citation_mode is not None else self._config.citation_mode 147 | self._citation_mode = effective_citation 148 | self._execute(query, effective_model, files, stream=stream) 149 | 150 | return self 151 | 152 | def _execute( 153 | self, 154 | query: str, 155 | model: Model, 156 | files: list[str | PathLike] | None, 157 | stream: bool = False, 158 | ) -> None: 159 | """Execute a query.""" 160 | 161 | self._reset_response_state() 162 | 163 | # Upload files 164 | file_urls: list[str] = [] 165 | 166 | if files: 167 | validated = self._validate_files(files) 168 | file_urls = [self._upload_file(f) for f in validated] 169 | 170 | payload = self._build_payload(query, model, file_urls) 171 | self._http.init_search(query) 172 | 173 | if stream: 174 | self._stream_generator = self._stream(payload) 175 | else: 176 | self._complete(payload) 177 | 178 | def _reset_response_state(self) -> None: 179 | self._title = None 180 | self._answer = None 181 | self._chunks = [] 182 | self._search_results = [] 183 | self._raw_data = {} 184 | self._stream_generator = None 185 | 186 | def _validate_files(self, files: list[str | PathLike] | None) -> list[_FileInfo]: 187 | if not files: 188 | return [] 189 | 190 | seen: set[str] = set() 191 | file_list: list[Path] = [] 192 | 193 | for item in files: 194 | if item and isinstance(item, (str, PathLike)): 195 | path = Path(item).resolve() 196 | 197 | if path.as_posix() not in seen: 198 | seen.add(path.as_posix()) 199 | file_list.append(path) 200 | 201 | if len(file_list) > MAX_FILES: 202 | raise FileValidationError( 203 | str(file_list[0]), 204 | f"Too many files: {len(file_list)}. Maximum allowed is {MAX_FILES}.", 205 | ) 206 | 207 | result: list[_FileInfo] = [] 208 | 209 | for path in file_list: 210 | file_path = path.as_posix() 211 | 212 | try: 213 | if not path.exists(): 214 | raise FileValidationError(file_path, "File not found") 215 | if not path.is_file(): 216 | raise FileValidationError(file_path, "Path is not a file") 217 | 218 | file_size = path.stat().st_size 219 | 220 | if file_size > MAX_FILE_SIZE: 221 | raise FileValidationError( 222 | file_path, 223 | f"File exceeds 50MB limit: {file_size / (1024 * 1024):.1f}MB", 224 | ) 225 | 226 | if file_size == 0: 227 | raise FileValidationError(file_path, "File is empty") 228 | 229 | mimetype, _ = guess_type(file_path) 230 | mimetype = mimetype or "application/octet-stream" 231 | 232 | result.append( 233 | _FileInfo( 234 | path=file_path, 235 | size=file_size, 236 | mimetype=mimetype, 237 | is_image=mimetype.startswith("image/"), 238 | ) 239 | ) 240 | except FileValidationError: 241 | raise 242 | except (FileNotFoundError, PermissionError) as error: 243 | raise FileValidationError(file_path, f"Cannot access file: {error}") from error 244 | except OSError as error: 245 | raise FileValidationError(file_path, f"File system error: {error}") from error 246 | 247 | return result 248 | 249 | def _upload_file(self, file_info: _FileInfo) -> str: 250 | file_uuid = str(uuid4()) 251 | 252 | json_data = { 253 | "files": { 254 | file_uuid: { 255 | "filename": file_info.path, 256 | "content_type": file_info.mimetype, 257 | "source": "default", 258 | "file_size": file_info.size, 259 | "force_image": file_info.is_image, 260 | } 261 | } 262 | } 263 | 264 | try: 265 | response = self._http.post(ENDPOINT_UPLOAD, json=json_data) 266 | response_data = response.json() 267 | upload_url = response_data.get("results", {}).get(file_uuid, {}).get("s3_object_url") 268 | 269 | if not upload_url: 270 | raise FileUploadError(file_info.path, "No upload URL returned") 271 | 272 | return upload_url 273 | except FileUploadError as error: 274 | raise error 275 | except Exception as e: 276 | raise FileUploadError(file_info.path, str(e)) from e 277 | 278 | def _build_payload( 279 | self, 280 | query: str, 281 | model: Model, 282 | file_urls: list[str], 283 | ) -> dict[str, Any]: 284 | cfg = self._config 285 | 286 | sources = ( 287 | [s.value for s in cfg.source_focus] if isinstance(cfg.source_focus, list) else [cfg.source_focus.value] 288 | ) 289 | 290 | client_coordinates = None 291 | if cfg.coordinates is not None: 292 | client_coordinates = { 293 | "location_lat": cfg.coordinates.latitude, 294 | "location_lng": cfg.coordinates.longitude, 295 | "name": "", 296 | } 297 | 298 | params: dict[str, Any] = { 299 | "attachments": file_urls, 300 | "language": cfg.language, 301 | "timezone": cfg.timezone, 302 | "client_coordinates": client_coordinates, 303 | "sources": sources, 304 | "model_preference": model.identifier, 305 | "mode": model.mode, 306 | "search_focus": cfg.search_focus.value, 307 | "search_recency_filter": cfg.time_range.value if cfg.time_range.value else None, 308 | "is_incognito": not cfg.save_to_library, 309 | "use_schematized_api": USE_SCHEMATIZED_API, 310 | "local_search_enabled": cfg.coordinates is not None, 311 | "prompt_source": PROMPT_SOURCE, 312 | "send_back_text_in_streaming_api": SEND_BACK_TEXT, 313 | "version": API_VERSION, 314 | } 315 | 316 | if self._backend_uuid is not None: 317 | params["last_backend_uuid"] = self._backend_uuid 318 | params["query_source"] = "followup" 319 | 320 | if self._read_write_token: 321 | params["read_write_token"] = self._read_write_token 322 | 323 | return {"params": params, "query_str": query} 324 | 325 | def _format_citations(self, text: str | None) -> str | None: 326 | if not text or self._citation_mode == CitationMode.DEFAULT: 327 | return text 328 | 329 | def replacer(m: Match[str]) -> str: 330 | num = m.group(1) 331 | 332 | if not num.isdigit(): 333 | return m.group(0) 334 | 335 | if self._citation_mode == CitationMode.CLEAN: 336 | return "" 337 | 338 | idx = int(num) - 1 339 | 340 | if 0 <= idx < len(self._search_results): 341 | url = self._search_results[idx].url or "" 342 | 343 | if self._citation_mode == CitationMode.MARKDOWN and url: 344 | return f"[{num}]({url})" 345 | 346 | return m.group(0) 347 | 348 | return CITATION_PATTERN.sub(replacer, text) 349 | 350 | def _parse_line(self, line: str | bytes) -> dict[str, Any] | None: 351 | prefix = b"data: " if isinstance(line, bytes) else "data: " 352 | 353 | if (isinstance(line, bytes) and line.startswith(prefix)) or (isinstance(line, str) and line.startswith(prefix)): 354 | return loads(line[6:]) 355 | 356 | return None 357 | 358 | def _process_data(self, data: dict[str, Any]) -> None: 359 | if self._backend_uuid is None and "backend_uuid" in data: 360 | self._backend_uuid = data["backend_uuid"] 361 | 362 | if self._read_write_token is None and "read_write_token" in data: 363 | self._read_write_token = data["read_write_token"] 364 | 365 | if "blocks" in data: 366 | for block in data["blocks"]: 367 | if block.get("intended_usage") == "web_results": 368 | diff = block.get("diff_block", {}) 369 | 370 | for patch in diff.get("patches", []): 371 | if patch.get("op") == "replace" and patch.get("path") == "/web_results": 372 | pass 373 | 374 | if "text" not in data and "blocks" not in data: 375 | return None 376 | 377 | try: 378 | json_data = loads(data["text"]) 379 | except KeyError as e: 380 | raise ValueError("Missing 'text' field in data") from e 381 | except JSONDecodeError as e: 382 | raise ValueError("Invalid JSON in 'text' field") from e 383 | 384 | answer_data: dict[str, Any] = {} 385 | 386 | if isinstance(json_data, list): 387 | for item in json_data: 388 | if item.get("step_type") == "FINAL": 389 | raw_content = item.get("content", {}) 390 | answer_content = raw_content.get("answer") 391 | 392 | if isinstance(answer_content, str) and JSON_OBJECT_PATTERN.match(answer_content): 393 | answer_data = loads(answer_content) 394 | else: 395 | answer_data = raw_content 396 | 397 | self._update_state(data.get("thread_title"), answer_data) 398 | 399 | break 400 | elif isinstance(json_data, dict): 401 | self._update_state(data.get("thread_title"), json_data) 402 | else: 403 | raise ValueError("Unexpected JSON structure in 'text' field") 404 | 405 | def _update_state(self, title: str | None, answer_data: dict[str, Any]) -> None: 406 | self._title = title 407 | 408 | web_results = answer_data.get("web_results", []) 409 | 410 | if web_results: 411 | self._search_results = [ 412 | SearchResultItem( 413 | title=r.get("name"), 414 | snippet=r.get("snippet"), 415 | url=r.get("url"), 416 | ) 417 | for r in web_results 418 | if isinstance(r, dict) 419 | ] 420 | 421 | answer_text = answer_data.get("answer") 422 | 423 | if answer_text is not None: 424 | self._answer = self._format_citations(answer_text) 425 | 426 | chunks = answer_data.get("chunks", []) 427 | 428 | if chunks: 429 | self._chunks = chunks 430 | 431 | self._raw_data = answer_data 432 | 433 | def _build_response(self) -> Response: 434 | return Response( 435 | title=self._title, 436 | answer=self._answer, 437 | chunks=list(self._chunks), 438 | last_chunk=self._chunks[-1] if self._chunks else None, 439 | search_results=list(self._search_results), 440 | conversation_uuid=self._backend_uuid, 441 | raw_data=self._raw_data, 442 | ) 443 | 444 | def _complete(self, payload: dict[str, Any]) -> None: 445 | for line in self._http.stream_ask(payload): 446 | data = self._parse_line(line) 447 | 448 | if data: 449 | self._process_data(data) 450 | 451 | if data.get("final"): 452 | break 453 | 454 | def _stream(self, payload: dict[str, Any]) -> Generator[Response, None, None]: 455 | for line in self._http.stream_ask(payload): 456 | data = self._parse_line(line) 457 | 458 | if data: 459 | self._process_data(data) 460 | 461 | yield self._build_response() 462 | 463 | if data.get("final"): 464 | break 465 | 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