autourgos-preiteration 1.0.1

Pre-iteration middleware for Autourgos agents — run callbacks and inject files before each agent iteration.

autourgos-preiteration

Pre-iteration middleware for Autourgos agents.

Run any sync or async callback — and inject files like screenshots — before every agent iteration. Built-in image compression keeps vision LLM costs low.

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Why use this?

Some agent tasks need fresh context every iteration:

• Computer-use agents — take a screenshot before each step so the LLM sees the current screen state
• Live data agents — refresh a price feed, sensor reading, or API response before each reasoning step
• Monitoring agents — ping a health endpoint or log iteration metrics before the LLM call

PreIterationMiddleware handles all of this cleanly, with zero boilerplate inside your agent.

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Install

pip install autourgos-preiteration

For image resize/compression support (Pillow):

pip install 'autourgos-preiteration[images]'

Zero required dependencies. Works with any Autourgos agent.

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Quick Start

from autourgos_preiteration import PreIterationMiddleware
from autourgos_react_agent import ReactAgent

SCREENSHOT = "/tmp/screen.png"

def capture(iteration: int) -> None:
    take_screenshot(SCREENSHOT)  # your screenshot function

middleware = PreIterationMiddleware(
    callback=capture,
    files=SCREENSHOT,
    image_quality="low",  # ~85 tokens flat — great for computer-use agents
)

agent = ReactAgent(llm=my_llm, middleware=[middleware])
result = agent.invoke("Open the browser and search for Python 3.13 release notes")
print(result)

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Run multiple callbacks

SEQUENTIAL — one after another

from autourgos_preiteration import PreIterationMiddleware, SEQUENTIAL

def capture_screen(iteration: int) -> None:
    take_screenshot("/tmp/screen.png")

def log_step(iteration: int) -> None:
    print(f"Starting iteration {iteration}")

middleware = PreIterationMiddleware(
    callback=SEQUENTIAL[capture_screen, log_step]
)

PARALLEL — all at the same time

from autourgos_preiteration import PreIterationMiddleware, PARALLEL

def capture_screen(iteration: int) -> None:
    take_screenshot("/tmp/screen.png")

def refresh_cache(iteration: int) -> None:
    cache.clear()

def ping_health(iteration: int) -> None:
    requests.get("https://api.example.com/health")

middleware = PreIterationMiddleware(
    callback=PARALLEL[capture_screen, refresh_cache, ping_health]
)

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Async callbacks

import asyncio
from autourgos_preiteration import PreIterationMiddleware

async def async_capture(iteration: int) -> None:
    await asyncio.sleep(0)  # non-blocking
    take_screenshot("/tmp/screen.png")

middleware = PreIterationMiddleware(callback=async_capture)

Works inside both agent.invoke() (sync) and agent.ainvoke() (async).

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Dynamic file injection

Pass a callable for files to generate paths per iteration:

def get_screenshot_path(iteration: int) -> str:
    path = f"/tmp/screen_{iteration}.png"
    take_screenshot(path)
    return path

middleware = PreIterationMiddleware(files=get_screenshot_path, image_quality="medium")

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Image quality

Control how much each screenshot costs in LLM tokens:

Value	Max size	JPEG quality	OpenAI detail	Approx tokens
"auto" (default)	No resize	No change	"auto"	Varies
"high"	No resize	No change	"high"	~1000+
"medium"	768 px	70	"auto"	~300–500
"low"	512 px	60	"low"	~85 (flat)
int 1–100	512 px if ≤512	That value	"low" / "auto"	Varies

Resize requires Pillow: pip install 'autourgos-preiteration[images]'

If Pillow is not installed, the image_detail hint is still applied (token savings from the detail flag alone), but no resize/recompress happens.

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Parameters

Parameter	Type	Default	Description
callback	callable or None	None	Sync/async function (iteration: int). Wrap with SEQUENTIAL or PARALLEL for multiple hooks.
files	str, list, callable, or None	None	File path(s) to inject into LLM. Callable receives iteration number.
image_quality	str or int	"auto"	Image compression level. See table above.

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Combine with other middleware

from autourgos_preiteration import PreIterationMiddleware
from autourgos_history import AgentHistoryMiddleware
from autourgos_summarizer import AutoSummarizeMiddleware

middleware = [
    PreIterationMiddleware(callback=capture, files="/tmp/screen.png", image_quality="low"),
    AutoSummarizeMiddleware(summarize_every=5),
    AgentHistoryMiddleware(),
]
agent = ReactAgent(llm=my_llm, middleware=middleware)

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Requirements

• Python 3.9+
• Pillow (optional) — for image resize: pip install 'autourgos-preiteration[images]'

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Links

• PyPI: https://pypi.org/project/autourgos-preiteration/
• GitHub: https://github.com/devxjitin/autourgos-preiteration
• Issues: https://github.com/devxjitin/autourgos-preiteration/issues

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License

MIT — see LICENSE