From 4c3adb31db65794502f4f6c36fad48b093564ab9 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Fri, 25 Jul 2025 12:35:01 -0400 Subject: [PATCH] renamed agent2 to agent --- docs/content/docs/home/agent-sdk/agent-loops.mdx | 2 +- .../content/docs/home/agent-sdk/callbacks/cost-saving.mdx | 4 ++-- docs/content/docs/home/agent-sdk/callbacks/logging.mdx | 4 ++-- .../docs/home/agent-sdk/callbacks/trajectories.mdx | 2 +- docs/content/docs/home/agent-sdk/sandboxed-tools.mdx | 2 +- docs/content/docs/home/libraries/agent/index.mdx | 8 ++++---- 6 files changed, 11 insertions(+), 11 deletions(-) diff --git a/docs/content/docs/home/agent-sdk/agent-loops.mdx b/docs/content/docs/home/agent-sdk/agent-loops.mdx index 8c2237c7..9503a3e4 100644 --- a/docs/content/docs/home/agent-sdk/agent-loops.mdx +++ b/docs/content/docs/home/agent-sdk/agent-loops.mdx @@ -12,7 +12,7 @@ An agent can be thought of as a loop - it generates actions, executes them, and To run an agent loop simply do: ```python -from agent2 import ComputerAgent +from agent import ComputerAgent from computer import Computer computer = Computer() # Connect to a c/ua container diff --git a/docs/content/docs/home/agent-sdk/callbacks/cost-saving.mdx b/docs/content/docs/home/agent-sdk/callbacks/cost-saving.mdx index 9ea79c49..9a543dc1 100644 --- a/docs/content/docs/home/agent-sdk/callbacks/cost-saving.mdx +++ b/docs/content/docs/home/agent-sdk/callbacks/cost-saving.mdx @@ -10,7 +10,7 @@ Optimize agent costs with budget management and image retention callbacks. ## Budget Manager Callbacks Example ```python -from agent2.callbacks import BudgetManagerCallback +from agent.callbacks import BudgetManagerCallback agent = ComputerAgent( model="anthropic/claude-3-5-sonnet-20241022", @@ -47,7 +47,7 @@ agent = ComputerAgent( ## Image Retention Callbacks Example ```python -from agent2.callbacks import ImageRetentionCallback +from agent.callbacks import ImageRetentionCallback agent = ComputerAgent( model="anthropic/claude-3-5-sonnet-20241022", diff --git a/docs/content/docs/home/agent-sdk/callbacks/logging.mdx b/docs/content/docs/home/agent-sdk/callbacks/logging.mdx index 5cbaf048..8ab9b2e6 100644 --- a/docs/content/docs/home/agent-sdk/callbacks/logging.mdx +++ b/docs/content/docs/home/agent-sdk/callbacks/logging.mdx @@ -10,7 +10,7 @@ Built-in logging callback and custom logger creation for agent monitoring. ## Callbacks Example ```python -from agent2.callbacks import LoggingCallback +from agent.callbacks import LoggingCallback import logging agent = ComputerAgent( @@ -40,7 +40,7 @@ agent = ComputerAgent( Create custom loggers by extending AsyncCallbackHandler: ```python -from agent2.callbacks.base import AsyncCallbackHandler +from agent.callbacks.base import AsyncCallbackHandler import logging class CustomLogger(AsyncCallbackHandler): diff --git a/docs/content/docs/home/agent-sdk/callbacks/trajectories.mdx b/docs/content/docs/home/agent-sdk/callbacks/trajectories.mdx index a985b181..8799c5eb 100644 --- a/docs/content/docs/home/agent-sdk/callbacks/trajectories.mdx +++ b/docs/content/docs/home/agent-sdk/callbacks/trajectories.mdx @@ -10,7 +10,7 @@ The TrajectorySaverCallback records complete agent conversations including messa ## Callbacks Example ```python -from agent2.callbacks import TrajectorySaverCallback +from agent.callbacks import TrajectorySaverCallback agent = ComputerAgent( model="anthropic/claude-3-5-sonnet-20241022", diff --git a/docs/content/docs/home/agent-sdk/sandboxed-tools.mdx b/docs/content/docs/home/agent-sdk/sandboxed-tools.mdx index 504b0400..809693f3 100644 --- a/docs/content/docs/home/agent-sdk/sandboxed-tools.mdx +++ b/docs/content/docs/home/agent-sdk/sandboxed-tools.mdx @@ -20,7 +20,7 @@ def read_file(location: str) -> str: You can then register this as a tool for your agent: ```python -from agent2 import ComputerAgent +from agent import ComputerAgent from computer import Computer computer = Computer(...) diff --git a/docs/content/docs/home/libraries/agent/index.mdx b/docs/content/docs/home/libraries/agent/index.mdx index 222cd32f..dd49018d 100644 --- a/docs/content/docs/home/libraries/agent/index.mdx +++ b/docs/content/docs/home/libraries/agent/index.mdx @@ -12,7 +12,7 @@ The Agent library provides the ComputerAgent class and tools for building AI age ### Basic Usage ```python -from agent2 import ComputerAgent +from agent import ComputerAgent from computer import Computer computer = Computer() # Connect to a c/ua container @@ -66,9 +66,9 @@ The `ComputerAgent` constructor provides a wide range of options for customizing **Example with advanced options:** ```python -from agent2 import ComputerAgent +from agent import ComputerAgent from computer import Computer -from agent2.callbacks import ImageRetentionCallback +from agent.callbacks import ImageRetentionCallback agent = ComputerAgent( model="anthropic/claude-3-5-sonnet-20241022", @@ -113,7 +113,7 @@ See [Agent Loops](../../agent-sdk/agent-loops) for supported models and details. You can add preprocessing and postprocessing hooks using callbacks, or write your own by subclassing `AsyncCallbackHandler`: ```python -from agent2.callbacks import ImageRetentionCallback, PIIAnonymizationCallback +from agent.callbacks import ImageRetentionCallback, PIIAnonymizationCallback agent = ComputerAgent( model="anthropic/claude-3-5-sonnet-20241022",