mirror of
https://github.com/Significant-Gravitas/AutoGPT.git
synced 2026-04-08 03:00:28 -04:00
feat(platform/blocks): Added stagehand integration (#10751)
Added basic stagehand integration: <img width="667" height="609" alt="Screenshot 2025-08-27 at 09 20 18" src="https://github.com/user-attachments/assets/11ab2941-0913-4346-a1d4-45980711e0f9" /> [stagehand_v35.json](https://github.com/user-attachments/files/22002924/stagehand_v35.json) ### Changes 🏗️ - Act Block - Extract Block - Observe Block ### Checklist 📋 #### For code changes: - [x] I have clearly listed my changes in the PR description - [x] I have made a test plan - [x] I have tested my changes according to the test plan: - [x] I have added a sample agent - [x] I have created an agent that uses these blocks and ensured it runs
This commit is contained in:
Swifty
@@ -0,0 +1,8 @@
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from backend.sdk import BlockCostType, ProviderBuilder
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stagehand = (
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ProviderBuilder("stagehand")
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.with_api_key("STAGEHAND_API_KEY", "Stagehand API Key")
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.with_base_cost(1, BlockCostType.RUN)
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.build()
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)
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393
autogpt_platform/backend/backend/blocks/stagehand/blocks.py
Normal file
393
autogpt_platform/backend/backend/blocks/stagehand/blocks.py
Normal file
@@ -0,0 +1,393 @@
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import logging
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import signal
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import threading
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from contextlib import contextmanager
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from enum import Enum
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# Monkey patch Stagehands to prevent signal handling in worker threads
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import stagehand.main
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from stagehand import Stagehand
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from backend.blocks.llm import (
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MODEL_METADATA,
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AICredentials,
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AICredentialsField,
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LlmModel,
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ModelMetadata,
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)
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from backend.blocks.stagehand._config import stagehand as stagehand_provider
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from backend.sdk import (
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APIKeyCredentials,
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Block,
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BlockCategory,
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BlockOutput,
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BlockSchema,
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CredentialsMetaInput,
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SchemaField,
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)
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# Store the original method
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original_register_signal_handlers = stagehand.main.Stagehand._register_signal_handlers
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def safe_register_signal_handlers(self):
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"""Only register signal handlers in the main thread"""
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if threading.current_thread() is threading.main_thread():
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original_register_signal_handlers(self)
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else:
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# Skip signal handling in worker threads
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pass
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# Replace the method
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stagehand.main.Stagehand._register_signal_handlers = safe_register_signal_handlers
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@contextmanager
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def disable_signal_handling():
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"""Context manager to temporarily disable signal handling"""
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if threading.current_thread() is not threading.main_thread():
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# In worker threads, temporarily replace signal.signal with a no-op
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original_signal = signal.signal
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def noop_signal(*args, **kwargs):
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pass
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signal.signal = noop_signal
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try:
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yield
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finally:
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signal.signal = original_signal
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else:
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# In main thread, don't modify anything
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yield
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logger = logging.getLogger(__name__)
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class StagehandRecommendedLlmModel(str, Enum):
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"""
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This is subset of LLModel from autogpt_platform/backend/backend/blocks/llm.py
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It contains only the models recommended by Stagehand
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"""
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# OpenAI
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GPT41 = "gpt-4.1-2025-04-14"
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GPT41_MINI = "gpt-4.1-mini-2025-04-14"
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# Anthropic
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CLAUDE_3_7_SONNET = "claude-3-7-sonnet-20250219"
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@property
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def provider_name(self) -> str:
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"""
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Returns the provider name for the model in the required format for Stagehand:
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provider/model_name
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"""
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model_metadata = MODEL_METADATA[LlmModel(self.value)]
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model_name = self.value
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if len(model_name.split("/")) == 1 and not self.value.startswith(
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model_metadata.provider
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):
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assert (
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model_metadata.provider != "open_router"
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), "Logic failed and open_router provider attempted to be prepended to model name! in stagehand/_config.py"
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model_name = f"{model_metadata.provider}/{model_name}"
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logger.error(f"Model name: {model_name}")
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return model_name
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@property
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def provider(self) -> str:
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return MODEL_METADATA[LlmModel(self.value)].provider
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@property
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def metadata(self) -> ModelMetadata:
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return MODEL_METADATA[LlmModel(self.value)]
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@property
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def context_window(self) -> int:
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return MODEL_METADATA[LlmModel(self.value)].context_window
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@property
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def max_output_tokens(self) -> int | None:
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return MODEL_METADATA[LlmModel(self.value)].max_output_tokens
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class StagehandObserveBlock(Block):
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class Input(BlockSchema):
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# Browserbase credentials (Stagehand provider) or raw API key
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stagehand_credentials: CredentialsMetaInput = (
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stagehand_provider.credentials_field(
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description="Stagehand/Browserbase API key"
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)
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)
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browserbase_project_id: str = SchemaField(
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description="Browserbase project ID (required if using Browserbase)",
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)
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# Model selection and credentials (provider-discriminated like llm.py)
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model: StagehandRecommendedLlmModel = SchemaField(
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title="LLM Model",
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description="LLM to use for Stagehand (provider is inferred)",
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default=StagehandRecommendedLlmModel.CLAUDE_3_7_SONNET,
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advanced=False,
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)
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model_credentials: AICredentials = AICredentialsField()
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url: str = SchemaField(
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description="URL to navigate to.",
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)
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instruction: str = SchemaField(
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description="Natural language description of elements or actions to discover.",
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)
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iframes: bool = SchemaField(
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description="Whether to search within iframes. If True, Stagehand will search for actions within iframes.",
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default=True,
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)
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domSettleTimeoutMs: int = SchemaField(
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description="Timeout in milliseconds for DOM settlement.Wait longer for dynamic content",
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default=45000,
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)
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class Output(BlockSchema):
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selector: str = SchemaField(description="XPath selector to locate element.")
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description: str = SchemaField(description="Human-readable description")
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method: str | None = SchemaField(description="Suggested action method")
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arguments: list[str] | None = SchemaField(
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description="Additional action parameters"
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)
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def __init__(self):
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super().__init__(
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id="d3863944-0eaf-45c4-a0c9-63e0fe1ee8b9",
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description="Find suggested actions for your workflows",
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categories={BlockCategory.AI, BlockCategory.DEVELOPER_TOOLS},
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input_schema=StagehandObserveBlock.Input,
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output_schema=StagehandObserveBlock.Output,
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)
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async def run(
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self,
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input_data: Input,
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*,
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stagehand_credentials: APIKeyCredentials,
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model_credentials: APIKeyCredentials,
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**kwargs,
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) -> BlockOutput:
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logger.info(f"OBSERVE: Stagehand credentials: {stagehand_credentials}")
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logger.info(
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f"OBSERVE: Model credentials: {model_credentials} for provider {model_credentials.provider} secret: {model_credentials.api_key.get_secret_value()}"
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)
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with disable_signal_handling():
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stagehand = Stagehand(
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api_key=stagehand_credentials.api_key.get_secret_value(),
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project_id=input_data.browserbase_project_id,
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model_name=input_data.model.provider_name,
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model_api_key=model_credentials.api_key.get_secret_value(),
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)
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await stagehand.init()
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page = stagehand.page
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assert page is not None, "Stagehand page is not initialized"
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await page.goto(input_data.url)
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observe_results = await page.observe(
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input_data.instruction,
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iframes=input_data.iframes,
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domSettleTimeoutMs=input_data.domSettleTimeoutMs,
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)
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for result in observe_results:
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yield "selector", result.selector
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yield "description", result.description
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yield "method", result.method
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yield "arguments", result.arguments
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class StagehandActBlock(Block):
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class Input(BlockSchema):
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# Browserbase credentials (Stagehand provider) or raw API key
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stagehand_credentials: CredentialsMetaInput = (
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stagehand_provider.credentials_field(
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description="Stagehand/Browserbase API key"
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)
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)
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browserbase_project_id: str = SchemaField(
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description="Browserbase project ID (required if using Browserbase)",
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)
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# Model selection and credentials (provider-discriminated like llm.py)
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model: StagehandRecommendedLlmModel = SchemaField(
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title="LLM Model",
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description="LLM to use for Stagehand (provider is inferred)",
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default=StagehandRecommendedLlmModel.CLAUDE_3_7_SONNET,
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advanced=False,
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)
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model_credentials: AICredentials = AICredentialsField()
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url: str = SchemaField(
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description="URL to navigate to.",
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)
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action: list[str] = SchemaField(
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description="Action to perform. Suggested actions are: click, fill, type, press, scroll, select from dropdown. For multi-step actions, add an entry for each step.",
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)
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variables: dict[str, str] = SchemaField(
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description="Variables to use in the action. Variables contains data you want the action to use.",
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default_factory=dict,
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)
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iframes: bool = SchemaField(
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description="Whether to search within iframes. If True, Stagehand will search for actions within iframes.",
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default=True,
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)
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domSettleTimeoutMs: int = SchemaField(
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description="Timeout in milliseconds for DOM settlement.Wait longer for dynamic content",
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default=45000,
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)
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timeoutMs: int = SchemaField(
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description="Timeout in milliseconds for DOM ready. Extended timeout for slow-loading forms",
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default=60000,
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)
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class Output(BlockSchema):
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success: bool = SchemaField(
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description="Whether the action was completed successfully"
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)
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message: str = SchemaField(description="Details about the action’s execution.")
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action: str = SchemaField(description="Action performed")
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def __init__(self):
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super().__init__(
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id="86eba68b-9549-4c0b-a0db-47d85a56cc27",
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description="Interact with a web page by performing actions on a web page. Use it to build self-healing and deterministic automations that adapt to website chang.",
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categories={BlockCategory.AI, BlockCategory.DEVELOPER_TOOLS},
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input_schema=StagehandActBlock.Input,
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output_schema=StagehandActBlock.Output,
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)
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async def run(
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self,
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input_data: Input,
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*,
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stagehand_credentials: APIKeyCredentials,
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model_credentials: APIKeyCredentials,
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**kwargs,
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) -> BlockOutput:
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logger.info(f"ACT: Stagehand credentials: {stagehand_credentials}")
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logger.info(
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f"ACT: Model credentials: {model_credentials} for provider {model_credentials.provider} secret: {model_credentials.api_key.get_secret_value()}"
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)
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with disable_signal_handling():
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stagehand = Stagehand(
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api_key=stagehand_credentials.api_key.get_secret_value(),
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project_id=input_data.browserbase_project_id,
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model_name=input_data.model.provider_name,
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model_api_key=model_credentials.api_key.get_secret_value(),
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)
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await stagehand.init()
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page = stagehand.page
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assert page is not None, "Stagehand page is not initialized"
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await page.goto(input_data.url)
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for action in input_data.action:
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action_results = await page.act(
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action,
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variables=input_data.variables,
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iframes=input_data.iframes,
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domSettleTimeoutMs=input_data.domSettleTimeoutMs,
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timeoutMs=input_data.timeoutMs,
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)
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yield "success", action_results.success
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yield "message", action_results.message
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yield "action", action_results.action
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class StagehandExtractBlock(Block):
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class Input(BlockSchema):
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# Browserbase credentials (Stagehand provider) or raw API key
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stagehand_credentials: CredentialsMetaInput = (
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stagehand_provider.credentials_field(
|
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description="Stagehand/Browserbase API key"
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)
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)
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browserbase_project_id: str = SchemaField(
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description="Browserbase project ID (required if using Browserbase)",
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)
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# Model selection and credentials (provider-discriminated like llm.py)
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model: StagehandRecommendedLlmModel = SchemaField(
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title="LLM Model",
|
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description="LLM to use for Stagehand (provider is inferred)",
|
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default=StagehandRecommendedLlmModel.CLAUDE_3_7_SONNET,
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advanced=False,
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)
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model_credentials: AICredentials = AICredentialsField()
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url: str = SchemaField(
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description="URL to navigate to.",
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)
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instruction: str = SchemaField(
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description="Natural language description of elements or actions to discover.",
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)
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iframes: bool = SchemaField(
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description="Whether to search within iframes. If True, Stagehand will search for actions within iframes.",
|
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default=True,
|
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)
|
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domSettleTimeoutMs: int = SchemaField(
|
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description="Timeout in milliseconds for DOM settlement.Wait longer for dynamic content",
|
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default=45000,
|
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)
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class Output(BlockSchema):
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extraction: str = SchemaField(description="Extracted data from the page.")
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def __init__(self):
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super().__init__(
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id="fd3c0b18-2ba6-46ae-9339-fcb40537ad98",
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description="Extract structured data from a webpage.",
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categories={BlockCategory.AI, BlockCategory.DEVELOPER_TOOLS},
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input_schema=StagehandExtractBlock.Input,
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output_schema=StagehandExtractBlock.Output,
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)
|
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|
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async def run(
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self,
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input_data: Input,
|
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*,
|
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stagehand_credentials: APIKeyCredentials,
|
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model_credentials: APIKeyCredentials,
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**kwargs,
|
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) -> BlockOutput:
|
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|
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logger.info(f"EXTRACT: Stagehand credentials: {stagehand_credentials}")
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logger.info(
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f"EXTRACT: Model credentials: {model_credentials} for provider {model_credentials.provider} secret: {model_credentials.api_key.get_secret_value()}"
|
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)
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with disable_signal_handling():
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stagehand = Stagehand(
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api_key=stagehand_credentials.api_key.get_secret_value(),
|
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project_id=input_data.browserbase_project_id,
|
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model_name=input_data.model.provider_name,
|
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model_api_key=model_credentials.api_key.get_secret_value(),
|
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)
|
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|
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await stagehand.init()
|
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|
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page = stagehand.page
|
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|
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assert page is not None, "Stagehand page is not initialized"
|
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|
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await page.goto(input_data.url)
|
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extraction = await page.extract(
|
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input_data.instruction,
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iframes=input_data.iframes,
|
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domSettleTimeoutMs=input_data.domSettleTimeoutMs,
|
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)
|
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yield "extraction", str(extraction.model_dump()["extraction"])
|
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312
autogpt_platform/backend/poetry.lock
generated
312
autogpt_platform/backend/poetry.lock
generated
@@ -528,6 +528,26 @@ webencodings = "*"
|
||||
[package.extras]
|
||||
css = ["tinycss2 (>=1.1.0,<1.5)"]
|
||||
|
||||
[[package]]
|
||||
name = "browserbase"
|
||||
version = "1.4.0"
|
||||
description = "The official Python library for the Browserbase API"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "browserbase-1.4.0-py3-none-any.whl", hash = "sha256:ea9f1fb4a88921975b8b9606835c441a59d8ce82ce00313a6d48bbe8e30f79fb"},
|
||||
{file = "browserbase-1.4.0.tar.gz", hash = "sha256:e2ed36f513c8630b94b826042c4bb9f497c333f3bd28e5b76cb708c65b4318a0"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
anyio = ">=3.5.0,<5"
|
||||
distro = ">=1.7.0,<2"
|
||||
httpx = ">=0.23.0,<1"
|
||||
pydantic = ">=1.9.0,<3"
|
||||
sniffio = "*"
|
||||
typing-extensions = ">=4.10,<5"
|
||||
|
||||
[[package]]
|
||||
name = "build"
|
||||
version = "1.2.2.post1"
|
||||
@@ -1459,6 +1479,46 @@ files = [
|
||||
{file = "frozenlist-1.7.0.tar.gz", hash = "sha256:2e310d81923c2437ea8670467121cc3e9b0f76d3043cc1d2331d56c7fb7a3a8f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "fsspec"
|
||||
version = "2025.7.0"
|
||||
description = "File-system specification"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "fsspec-2025.7.0-py3-none-any.whl", hash = "sha256:8b012e39f63c7d5f10474de957f3ab793b47b45ae7d39f2fb735f8bbe25c0e21"},
|
||||
{file = "fsspec-2025.7.0.tar.gz", hash = "sha256:786120687ffa54b8283d942929540d8bc5ccfa820deb555a2b5d0ed2b737bf58"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
abfs = ["adlfs"]
|
||||
adl = ["adlfs"]
|
||||
arrow = ["pyarrow (>=1)"]
|
||||
dask = ["dask", "distributed"]
|
||||
dev = ["pre-commit", "ruff (>=0.5)"]
|
||||
doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
|
||||
dropbox = ["dropbox", "dropboxdrivefs", "requests"]
|
||||
full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
|
||||
fuse = ["fusepy"]
|
||||
gcs = ["gcsfs"]
|
||||
git = ["pygit2"]
|
||||
github = ["requests"]
|
||||
gs = ["gcsfs"]
|
||||
gui = ["panel"]
|
||||
hdfs = ["pyarrow (>=1)"]
|
||||
http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
|
||||
libarchive = ["libarchive-c"]
|
||||
oci = ["ocifs"]
|
||||
s3 = ["s3fs"]
|
||||
sftp = ["paramiko"]
|
||||
smb = ["smbprotocol"]
|
||||
ssh = ["paramiko"]
|
||||
test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
|
||||
test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
|
||||
test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""]
|
||||
tqdm = ["tqdm"]
|
||||
|
||||
[[package]]
|
||||
name = "gcloud-aio-auth"
|
||||
version = "5.4.2"
|
||||
@@ -1860,7 +1920,6 @@ description = "Lightweight in-process concurrent programming"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main"]
|
||||
markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""
|
||||
files = [
|
||||
{file = "greenlet-3.2.3-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:1afd685acd5597349ee6d7a88a8bec83ce13c106ac78c196ee9dde7c04fe87be"},
|
||||
{file = "greenlet-3.2.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:761917cac215c61e9dc7324b2606107b3b292a8349bdebb31503ab4de3f559ac"},
|
||||
@@ -2071,6 +2130,28 @@ files = [
|
||||
hpack = ">=4.1,<5"
|
||||
hyperframe = ">=6.1,<7"
|
||||
|
||||
[[package]]
|
||||
name = "hf-xet"
|
||||
version = "1.1.8"
|
||||
description = "Fast transfer of large files with the Hugging Face Hub."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
groups = ["main"]
|
||||
markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""
|
||||
files = [
|
||||
{file = "hf_xet-1.1.8-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:3d5f82e533fc51c7daad0f9b655d9c7811b5308e5890236828bd1dd3ed8fea74"},
|
||||
{file = "hf_xet-1.1.8-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:8e2dba5896bca3ab61d0bef4f01a1647004de59640701b37e37eaa57087bbd9d"},
|
||||
{file = "hf_xet-1.1.8-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bfe5700bc729be3d33d4e9a9b5cc17a951bf8c7ada7ba0c9198a6ab2053b7453"},
|
||||
{file = "hf_xet-1.1.8-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:09e86514c3c4284ed8a57d6b0f3d089f9836a0af0a1ceb3c9dd664f1f3eaefef"},
|
||||
{file = "hf_xet-1.1.8-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:4a9b99ab721d385b83f4fc8ee4e0366b0b59dce03b5888a86029cc0ca634efbf"},
|
||||
{file = "hf_xet-1.1.8-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:25b9d43333bbef39aeae1616789ec329c21401a7fe30969d538791076227b591"},
|
||||
{file = "hf_xet-1.1.8-cp37-abi3-win_amd64.whl", hash = "sha256:4171f31d87b13da4af1ed86c98cf763292e4720c088b4957cf9d564f92904ca9"},
|
||||
{file = "hf_xet-1.1.8.tar.gz", hash = "sha256:62a0043e441753bbc446dcb5a3fe40a4d03f5fb9f13589ef1df9ab19252beb53"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
tests = ["pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "hpack"
|
||||
version = "4.1.0"
|
||||
@@ -2213,6 +2294,45 @@ http2 = ["h2 (>=3,<5)"]
|
||||
socks = ["socksio (==1.*)"]
|
||||
zstd = ["zstandard (>=0.18.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "huggingface-hub"
|
||||
version = "0.34.4"
|
||||
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "huggingface_hub-0.34.4-py3-none-any.whl", hash = "sha256:9b365d781739c93ff90c359844221beef048403f1bc1f1c123c191257c3c890a"},
|
||||
{file = "huggingface_hub-0.34.4.tar.gz", hash = "sha256:a4228daa6fb001be3f4f4bdaf9a0db00e1739235702848df00885c9b5742c85c"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
filelock = "*"
|
||||
fsspec = ">=2023.5.0"
|
||||
hf-xet = {version = ">=1.1.3,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
|
||||
packaging = ">=20.9"
|
||||
pyyaml = ">=5.1"
|
||||
requests = "*"
|
||||
tqdm = ">=4.42.1"
|
||||
typing-extensions = ">=3.7.4.3"
|
||||
|
||||
[package.extras]
|
||||
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
|
||||
cli = ["InquirerPy (==0.3.4)"]
|
||||
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
|
||||
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
|
||||
hf-transfer = ["hf-transfer (>=0.1.4)"]
|
||||
hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"]
|
||||
inference = ["aiohttp"]
|
||||
mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"]
|
||||
oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"]
|
||||
quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)"]
|
||||
tensorflow = ["graphviz", "pydot", "tensorflow"]
|
||||
tensorflow-testing = ["keras (<3.0)", "tensorflow"]
|
||||
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
|
||||
torch = ["safetensors[torch]", "torch"]
|
||||
typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "hyperframe"
|
||||
version = "6.1.0"
|
||||
@@ -2672,6 +2792,62 @@ dynamodb = ["boto3 (>=1.9.71)"]
|
||||
redis = ["redis (>=2.10.5)"]
|
||||
test-filesource = ["pyyaml (>=5.3.1)", "watchdog (>=3.0.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "litellm"
|
||||
version = "1.74.15.post2"
|
||||
description = "Library to easily interface with LLM API providers"
|
||||
optional = false
|
||||
python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "litellm-1.74.15.post2.tar.gz", hash = "sha256:8eddb1c8a6a5a7048f8ba16e652aba23d6ca996dd87cb853c874ba375aa32479"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
aiohttp = ">=3.10"
|
||||
click = "*"
|
||||
httpx = ">=0.23.0"
|
||||
importlib-metadata = ">=6.8.0"
|
||||
jinja2 = ">=3.1.2,<4.0.0"
|
||||
jsonschema = ">=4.22.0,<5.0.0"
|
||||
openai = ">=1.68.2"
|
||||
pydantic = ">=2.5.0,<3.0.0"
|
||||
python-dotenv = ">=0.2.0"
|
||||
tiktoken = ">=0.7.0"
|
||||
tokenizers = "*"
|
||||
|
||||
[package.extras]
|
||||
caching = ["diskcache (>=5.6.1,<6.0.0)"]
|
||||
extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "redisvl (>=0.4.1,<0.5.0) ; python_version >= \"3.9\" and python_version < \"3.14\"", "resend (>=0.8.0,<0.9.0)"]
|
||||
mlflow = ["mlflow (>3.1.4) ; python_version >= \"3.10\""]
|
||||
proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "azure-identity (>=1.15.0,<2.0.0)", "azure-storage-blob (>=12.25.1,<13.0.0)", "backoff", "boto3 (==1.34.34)", "cryptography (>=43.0.1,<44.0.0)", "fastapi (>=0.115.5,<0.116.0)", "fastapi-sso (>=0.16.0,<0.17.0)", "gunicorn (>=23.0.0,<24.0.0)", "litellm-enterprise (==0.1.16)", "litellm-proxy-extras (==0.2.16)", "mcp (>=1.10.0,<2.0.0) ; python_version >= \"3.10\"", "orjson (>=3.9.7,<4.0.0)", "polars (>=1.31.0,<2.0.0) ; python_version >= \"3.10\"", "pynacl (>=1.5.0,<2.0.0)", "python-multipart (>=0.0.18,<0.0.19)", "pyyaml (>=6.0.1,<7.0.0)", "rich (==13.7.1)", "rq", "uvicorn (>=0.29.0,<0.30.0)", "uvloop (>=0.21.0,<0.22.0) ; sys_platform != \"win32\"", "websockets (>=13.1.0,<14.0.0)"]
|
||||
semantic-router = ["semantic-router ; python_version >= \"3.9\""]
|
||||
utils = ["numpydoc"]
|
||||
|
||||
[[package]]
|
||||
name = "markdown-it-py"
|
||||
version = "4.0.0"
|
||||
description = "Python port of markdown-it. Markdown parsing, done right!"
|
||||
optional = false
|
||||
python-versions = ">=3.10"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "markdown_it_py-4.0.0-py3-none-any.whl", hash = "sha256:87327c59b172c5011896038353a81343b6754500a08cd7a4973bb48c6d578147"},
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||||
{file = "markdown_it_py-4.0.0.tar.gz", hash = "sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
mdurl = ">=0.1,<1.0"
|
||||
|
||||
[package.extras]
|
||||
benchmarking = ["psutil", "pytest", "pytest-benchmark"]
|
||||
compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "markdown-it-pyrs", "mistletoe (>=1.0,<2.0)", "mistune (>=3.0,<4.0)", "panflute (>=2.3,<3.0)"]
|
||||
linkify = ["linkify-it-py (>=1,<3)"]
|
||||
plugins = ["mdit-py-plugins (>=0.5.0)"]
|
||||
profiling = ["gprof2dot"]
|
||||
rtd = ["ipykernel", "jupyter_sphinx", "mdit-py-plugins (>=0.5.0)", "myst-parser", "pyyaml", "sphinx", "sphinx-book-theme (>=1.0,<2.0)", "sphinx-copybutton", "sphinx-design"]
|
||||
testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions", "requests"]
|
||||
|
||||
[[package]]
|
||||
name = "markupsafe"
|
||||
version = "3.0.2"
|
||||
@@ -2755,6 +2931,18 @@ files = [
|
||||
{file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "mdurl"
|
||||
version = "0.1.2"
|
||||
description = "Markdown URL utilities"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
|
||||
{file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "mem0ai"
|
||||
version = "0.1.115"
|
||||
@@ -3643,6 +3831,28 @@ docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.1.3)", "sphinx-a
|
||||
test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.4)", "pytest-cov (>=6)", "pytest-mock (>=3.14)"]
|
||||
type = ["mypy (>=1.14.1)"]
|
||||
|
||||
[[package]]
|
||||
name = "playwright"
|
||||
version = "1.54.0"
|
||||
description = "A high-level API to automate web browsers"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "playwright-1.54.0-py3-none-macosx_10_13_x86_64.whl", hash = "sha256:bf3b845af744370f1bd2286c2a9536f474cc8a88dc995b72ea9a5be714c9a77d"},
|
||||
{file = "playwright-1.54.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:780928b3ca2077aea90414b37e54edd0c4bbb57d1aafc42f7aa0b3fd2c2fac02"},
|
||||
{file = "playwright-1.54.0-py3-none-macosx_11_0_universal2.whl", hash = "sha256:81d0b6f28843b27f288cfe438af0a12a4851de57998009a519ea84cee6fbbfb9"},
|
||||
{file = "playwright-1.54.0-py3-none-manylinux1_x86_64.whl", hash = "sha256:09919f45cc74c64afb5432646d7fef0d19fff50990c862cb8d9b0577093f40cc"},
|
||||
{file = "playwright-1.54.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:13ae206c55737e8e3eae51fb385d61c0312eeef31535643bb6232741b41b6fdc"},
|
||||
{file = "playwright-1.54.0-py3-none-win32.whl", hash = "sha256:0b108622ffb6906e28566f3f31721cd57dda637d7e41c430287804ac01911f56"},
|
||||
{file = "playwright-1.54.0-py3-none-win_amd64.whl", hash = "sha256:9e5aee9ae5ab1fdd44cd64153313a2045b136fcbcfb2541cc0a3d909132671a2"},
|
||||
{file = "playwright-1.54.0-py3-none-win_arm64.whl", hash = "sha256:a975815971f7b8dca505c441a4c56de1aeb56a211290f8cc214eeef5524e8d75"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
greenlet = ">=3.1.1,<4.0.0"
|
||||
pyee = ">=13,<14"
|
||||
|
||||
[[package]]
|
||||
name = "pluggy"
|
||||
version = "1.6.0"
|
||||
@@ -4477,6 +4687,24 @@ gcp-secret-manager = ["google-cloud-secret-manager (>=2.23.1)"]
|
||||
toml = ["tomli (>=2.0.1)"]
|
||||
yaml = ["pyyaml (>=6.0.1)"]
|
||||
|
||||
[[package]]
|
||||
name = "pyee"
|
||||
version = "13.0.0"
|
||||
description = "A rough port of Node.js's EventEmitter to Python with a few tricks of its own"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "pyee-13.0.0-py3-none-any.whl", hash = "sha256:48195a3cddb3b1515ce0695ed76036b5ccc2ef3a9f963ff9f77aec0139845498"},
|
||||
{file = "pyee-13.0.0.tar.gz", hash = "sha256:b391e3c5a434d1f5118a25615001dbc8f669cf410ab67d04c4d4e07c55481c37"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
typing-extensions = "*"
|
||||
|
||||
[package.extras]
|
||||
dev = ["black", "build", "flake8", "flake8-black", "isort", "jupyter-console", "mkdocs", "mkdocs-include-markdown-plugin", "mkdocstrings[python]", "mypy", "pytest", "pytest-asyncio ; python_version >= \"3.4\"", "pytest-trio ; python_version >= \"3.7\"", "sphinx", "toml", "tox", "trio", "trio ; python_version > \"3.6\"", "trio-typing ; python_version > \"3.6\"", "twine", "twisted", "validate-pyproject[all]"]
|
||||
|
||||
[[package]]
|
||||
name = "pyflakes"
|
||||
version = "3.4.0"
|
||||
@@ -5204,6 +5432,25 @@ files = [
|
||||
[package.dependencies]
|
||||
requests = ">=2.0.1,<3.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "rich"
|
||||
version = "14.1.0"
|
||||
description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "rich-14.1.0-py3-none-any.whl", hash = "sha256:536f5f1785986d6dbdea3c75205c473f970777b4a0d6c6dd1b696aa05a3fa04f"},
|
||||
{file = "rich-14.1.0.tar.gz", hash = "sha256:e497a48b844b0320d45007cdebfeaeed8db2a4f4bcf49f15e455cfc4af11eaa8"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
markdown-it-py = ">=2.2.0"
|
||||
pygments = ">=2.13.0,<3.0.0"
|
||||
|
||||
[package.extras]
|
||||
jupyter = ["ipywidgets (>=7.5.1,<9)"]
|
||||
|
||||
[[package]]
|
||||
name = "rpds-py"
|
||||
version = "0.26.0"
|
||||
@@ -5657,6 +5904,34 @@ postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
|
||||
pymysql = ["pymysql"]
|
||||
sqlcipher = ["sqlcipher3_binary"]
|
||||
|
||||
[[package]]
|
||||
name = "stagehand"
|
||||
version = "0.5.1"
|
||||
description = "Python SDK for Stagehand"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "stagehand-0.5.1-py3-none-any.whl", hash = "sha256:97f88ef31c4b2ad448c2ef341a3cff074b83e40c60872d8f49f79c82f9249174"},
|
||||
{file = "stagehand-0.5.1.tar.gz", hash = "sha256:312611f776a5f93f3a10a3cae87cd4881eb020c999a87394b21bff2b123fdfc3"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
anthropic = ">=0.51.0"
|
||||
browserbase = ">=1.4.0"
|
||||
httpx = ">=0.24.0"
|
||||
litellm = ">=1.72.0,<1.75.0"
|
||||
nest-asyncio = ">=1.6.0"
|
||||
openai = ">=1.83.0,<1.99.6"
|
||||
playwright = ">=1.42.1"
|
||||
pydantic = ">=1.10.0"
|
||||
python-dotenv = ">=1.0.0"
|
||||
requests = ">=2.31.0"
|
||||
rich = ">=13.7.0"
|
||||
|
||||
[package.extras]
|
||||
dev = ["black (>=23.3.0)", "isort (>=5.12.0)", "mypy (>=1.3.0)", "psutil (>=5.9.0)", "pytest (>=7.3.1)", "pytest-asyncio (>=0.21.0)", "pytest-cov (>=4.1.0)", "pytest-mock (>=3.10.0)", "ruff"]
|
||||
|
||||
[[package]]
|
||||
name = "starlette"
|
||||
version = "0.47.1"
|
||||
@@ -5860,6 +6135,39 @@ files = [
|
||||
[package.dependencies]
|
||||
requests = ">=2.32.3,<3.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "tokenizers"
|
||||
version = "0.21.4"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "tokenizers-0.21.4-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:2ccc10a7c3bcefe0f242867dc914fc1226ee44321eb618cfe3019b5df3400133"},
|
||||
{file = "tokenizers-0.21.4-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:5e2f601a8e0cd5be5cc7506b20a79112370b9b3e9cb5f13f68ab11acd6ca7d60"},
|
||||
{file = "tokenizers-0.21.4-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39b376f5a1aee67b4d29032ee85511bbd1b99007ec735f7f35c8a2eb104eade5"},
|
||||
{file = "tokenizers-0.21.4-cp39-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2107ad649e2cda4488d41dfd031469e9da3fcbfd6183e74e4958fa729ffbf9c6"},
|
||||
{file = "tokenizers-0.21.4-cp39-abi3-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3c73012da95afafdf235ba80047699df4384fdc481527448a078ffd00e45a7d9"},
|
||||
{file = "tokenizers-0.21.4-cp39-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f23186c40395fc390d27f519679a58023f368a0aad234af145e0f39ad1212732"},
|
||||
{file = "tokenizers-0.21.4-cp39-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cc88bb34e23a54cc42713d6d98af5f1bf79c07653d24fe984d2d695ba2c922a2"},
|
||||
{file = "tokenizers-0.21.4-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:51b7eabb104f46c1c50b486520555715457ae833d5aee9ff6ae853d1130506ff"},
|
||||
{file = "tokenizers-0.21.4-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:714b05b2e1af1288bd1bc56ce496c4cebb64a20d158ee802887757791191e6e2"},
|
||||
{file = "tokenizers-0.21.4-cp39-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:1340ff877ceedfa937544b7d79f5b7becf33a4cfb58f89b3b49927004ef66f78"},
|
||||
{file = "tokenizers-0.21.4-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:3c1f4317576e465ac9ef0d165b247825a2a4078bcd01cba6b54b867bdf9fdd8b"},
|
||||
{file = "tokenizers-0.21.4-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:c212aa4e45ec0bb5274b16b6f31dd3f1c41944025c2358faaa5782c754e84c24"},
|
||||
{file = "tokenizers-0.21.4-cp39-abi3-win32.whl", hash = "sha256:6c42a930bc5f4c47f4ea775c91de47d27910881902b0f20e4990ebe045a415d0"},
|
||||
{file = "tokenizers-0.21.4-cp39-abi3-win_amd64.whl", hash = "sha256:475d807a5c3eb72c59ad9b5fcdb254f6e17f53dfcbb9903233b0dfa9c943b597"},
|
||||
{file = "tokenizers-0.21.4.tar.gz", hash = "sha256:fa23f85fbc9a02ec5c6978da172cdcbac23498c3ca9f3645c5c68740ac007880"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
huggingface-hub = ">=0.16.4,<1.0"
|
||||
|
||||
[package.extras]
|
||||
dev = ["tokenizers[testing]"]
|
||||
docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
|
||||
testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
|
||||
|
||||
[[package]]
|
||||
name = "tomli"
|
||||
version = "2.2.1"
|
||||
@@ -6822,4 +7130,4 @@ cffi = ["cffi (>=1.11)"]
|
||||
[metadata]
|
||||
lock-version = "2.1"
|
||||
python-versions = ">=3.10,<3.14"
|
||||
content-hash = "e780199a6b02f5fef3f930a4f1d69443af1977b591172c3a18a299166345c37a"
|
||||
content-hash = "06ca298144a75656a31df830153013cc372f47bed0fd04c8cb02373a4f40c38b"
|
||||
|
||||
@@ -78,6 +78,7 @@ pandas = "^2.3.1"
|
||||
firecrawl-py = "^2.16.3"
|
||||
exa-py = "^1.14.20"
|
||||
croniter = "^6.0.0"
|
||||
stagehand = "^0.5.1"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
aiohappyeyeballs = "^2.6.1"
|
||||
|
||||
Reference in New Issue
Block a user