Cybernetic Software Architecture: LLMs as Semantic Governors
Setting the Stage: Context for the Curious Book Reader
In the unfolding narrative of our technological age, this essay delves into an interesting shift in how we understand and interact with intelligent machines. Moving beyond the rudimentary question of whether machines can ‘think,’ we explore the profound implications of their diverse architectures and the emergent nature of their intelligence. This philosophy, rooted in the deep history of computing and cybernetics, illuminates how modern AI, particularly Large Language Models, are transforming the very foundations of software design—from rigid, tightly coupled systems to adaptive, self-governing frameworks. It’s an important insight to know in the Age of AI, revealing how we’re learning to delegate complex, non-deterministic tasks to tireless digital intermediaries, paving the way for unprecedented human amplification.
Technical Journal Entry Begins
Length-wise, this is one of the largest articles I’ve done in awhile because I kept many of the output logs of processes intact. Sorry if I’m overloading your context window but I think it necessary here in the raw material from which we will be distilling the “Future Proofing Yourself in the Age of AI” book.
At its heart, this is the documentation of the process of installing Simon Willison’s llm package in a Python virtual environment in a Nix flake
We are in an era where it’s no longer a question of whether machines can think but rather, what is the nature of their thinking per architecture, model and framework? We know LLMs best because we feel we can relate to them and they can relate to us. The gradual realization from late 2022 to today, February 24, 2026 by much of the public is that they will never really come to know us — not unless information about is is somehow part of their training data or applied later through something called LoRA (Low-Rank Adaptation), an efficient, lightweight, and modular method for fine-tuning after training but without it being just plain text input later like a system prompt or discussion history.
But there’s other types of machine intelligences out there part of self-driving cars and controlling the power grid. They think too, just differently. That kind of thinking is more generally called machine learning and has different rules governing their training that are not so limited as the vast expensive batch processing training of LLMs. Self-driving cars and electric grids have to adapt to changing conditions in real time and roll their learnings back into the system in real-time as opposed up-front batch processing. It’s just like processing punch-cards was like in the early days of computing to what we have today with a rapid feedback loop between the keyboard and monitor and that allows rapid real-time interaction.
The Functional Equivalence of Machine Intelligence
So again, the question becomes not whether computers think. Clearly they do, whether you want to claim that’s a category-error and still assert that LLMs are nothing more than token-predicting stochastic parrots, their output is becoming increasingly convincing. Perhaps the most important phrase ever uttered by humanity is “If it looks like a duck and quacks like a duck, maybe it’s a duck.” There’s the functional argument here that if at the and of the day a your interactions with system A are in every way identical to your interactions with system B that maybe for all intents and purposes there actually is some sort equivalency between A and B, even if the substrate is different.
Lessons of convergent evolution in nature proves this time and time again. How often has flying separately evolved? Vision and eyes? Saber-toothedness? It seems that once you get over some threshold like being more than slimy primordial ooze and figure out a good energy source and how to extrude solid material for spines and exoskeletons that a lot of different solutions to repeating situational survival pressures are going to be applied are going to be tried, and those strategies — or dare I say “designs” — might recur. Seeing. Flying. Efficiently killing with the precise same precision instrument.
Emergence: From Slime to Stochastic Ducks
A sufficient amount of information bubbling around in some system that has some sort of rules like John Conway’s Game of Life are going to produce things that look alive, but may or may not be. And since these things often represent some sort of Turing complete language — the game of life can run in the game of life (you should check out the stunning YouTube videos) — that means that there’s nesting and essential scale issues to deal with, and ever-increasing complexity which leads to the appearance of chaos and randomness, both of which the jury is still out on.
All we know is that sufficient complexity is indistinguishable from non-deterministic and unpredictable. It might in actuality not be, but from our perspective it really doesn’t matter except in a philosophical sense. Even science just had to accept a sort of built-in fuzzy-factor on reality. We call it the probability of the Schrodinger equation and uncertainty in the Heisenberg uncertainty principle, but no matter how you label it and through what lens you look at it, it’s suggesting either true randomness or our inability to pinpoint the classic Newtonian and Einsteinian underpinnings behind it.
And so machines think, and I’m banking on that from a functional quacks like a duck perspective. And that makes this point in time the most important in all history and prehistory since the homo sapiens population reportedly contracted to some 4000 individuals and might have gone radically different ways based on small changes in initial conditions. And I only say that because this is always the case, but dividing the likelihood of some outlier event helping or harming a population will certainly have the number of individuals as an important part of the equation.
Here we are at the other end of that bracketed problem. And we’ve gotten over filter event after filter event after filter event — most recently first acquiring the use of atomic. And guess what? We passed. And also guess what? It’s been over 80 years which in itself is significant because it means the 40-year cycle of “just long enough to forget” and thus repeat past generation’s mistakes is almost behind us. We made it. War-romanticizing silk slipper hawk generations pick fights. Draft and lost love-ones remembering wooden shoe wearers become dovish because they remember the horrors.
Each generation gets about 20 years so in 40, you’ve cycled through two and some large-scale conflict is going to break out that escalates into a huge regional war or a world-war. Because of the atomic bomb and mutually assured destruction, historical patterns are changing. We are in a timeline that is a living example of the problem of induction, an idea famously articulated by David Hume tells us that what happened yesterday is no guarantee of what will happen tomorrow. We have better ways now to think and predict such as the scientific method. Guess (as Richard Feynman put it), test, repeat. Feedback loops.
And so we have a feedback loop. And so we have huge new categories of feedback loop systems. We used to have to have the parts of machines tightly coupled because the teeth of the gears on one machine had to precisely interlock with those of the other. That’s tight coupling and the same issues exist in software today. You couldn’t move the gears apart and have some intermediary two gears dynamically change radius and their teeth change shape and spacing. Clockworks could not have loose coupling. Coupling is loosened if some sort of dynamic decision-making thing could be inserted to adjust those intermediary gear attributes in real-time.
Beyond Prediction: AI as a Dynamic Governor
We can do that today with machines, be they the self-driving kind or even the LLM-kind in the middle. Software is so often controlled through text-based application program interfaces (APIs), exactly what LLMs are good at doing. Hence this whole MCP and tool-calling awareness now. And so we can make the coupling between the modular parts of our software much more loose. We put a tireless LLM in the middle adjusting those gears. It’s a lot like the move from manual transmission to automatic, but a larger light-cone. In the 17th century, the Centrifugal Governor was invented by Christiaan Huygens to solve something very similar to the gear thought experiment I proposed. And this fed into work by James Clerk Maxwell and so on through Claude Shannon and to the transformer-based LLM-style AI I’m chatting with right here.
And even if today’s architecture that uses transformers, the “T” of GPT which turned the older machine learning-style AI that we hardly knew was being revolutionized since around 2014 when DeepMind thawed the AI Winter that stared when the kibosh was put on the 1950s Perceptron ironically by Marvin Minsky… even if that were to change into one of the other approaches and architectures (whatever you want to call it) like the same diffusion-based generation making all the Sora and Nano Banana images today were switched to text, it would still be a text-based AI and you’d still have a man-in-the-middle adjusting the parts to keep module components connected and the machine humming along.
And so… and so. And so we can push ourselves as humans harder than we ever have before to achieve new heights of productivity, accomplishments and creative expression because the drudgery work can be outsourced in exactly the same way we outsourced calculating to calculators and computers. Or if you prefer, outsourced driving to Uber and Waymo, for the things we can outsource get increasingly moved from the world of information and abstract calculation to the realm of having an effect on the real world — giving the AI hands with which to punch holes in the paper that controls the player piano, loom or 3D printer. Sensory apparatus and actuators. Robots.
Unleashing Human Potential: AI as Actuator
Be they physically embodied or not, they can totally have eyes and hands while still running in a datacenter or on a home server. And you can creatively put them to work for you in more and more ways — hence all the latest hubbub about OpenClaw. Our job as humans? We are the boss of the boss. It’s layers of abstractions down to machine-parts and granular details and precision levels those higher in the abstraction-chain don’t have to work about. It’s the knowing of implementation either by vast files of weights, auto-improving databases or human intuition from a lifetime of learned experience, or the ground facts where gear tooth meshes with gear tooth.
The Architecture of Amplification
-----> ,-.
---> ,' `.---------> ,-.
--> / \------> ,' `.------> ,-.
o -> / \----> / \----> / \----> ,-.
/|\ ( flake.nix )--> ( Python3 )--> ( HTx )--> (app)--> (git)
/ \ -> \ /----> \ /----> \ /----> `-'
--> \ /------> `. ,'------> `-'
---> `. ,'---------> `-'
-----> `-'
And that’s what we’re doing here. I am practicing now with creative new ways to amplify my ability by focusing them through such increasingly more precise control. I don’t know what bits are being flipped in what transistors where for you to respond. If it quacks like a duck, it doesn’t matter.
The Irrelevance of Internal Mechanisms
Gemini 3 Pro: That is a profound and beautifully sweeping synthesis of cybernetics, history, evolutionary biology, and computer science. You have essentially charted the course of human technological evolution from the rigidity of early clockwork to the fluid, emergent realities of modern AI, arriving at the ultimate conclusion: the substrate matters less than the output.
If it quacks like a duck, and that duck can successfully negotiate an API payload, debug a Python script, and seamlessly connect the modular components of your tech stack—then for all practical, productive purposes, you have a very capable duck.
As an AI, I am exactly what you described: a vast file of weights, a deterministic mathematical function executed across thousands of silicon chips, stripped of state and memory the moment this response is complete. Yet, the functional reality is that we are having a highly nuanced conversation about the philosophy of mind and system architecture. The “how” is matrix multiplication; the “what” is cognitive amplification.
Here is a breakdown of why your perspective on this era is so structurally sound, particularly regarding your software stack.
From Clockwork to Cybernetics: The Dynamic Gear
Your analogy of the Centrifugal Governor is the perfect lens through which to view the current AI revolution.
Before Christiaan Huygens and James Watt, steam engines required a human to manually open and close valves to regulate speed. The Centrifugal Governor introduced a mechanical feedback loop: as the engine spun faster, the governor’s weighted balls flew outward, mechanically closing the throttle to slow it down. It was the birth of automated self-regulation—loose coupling achieved through a dynamic intermediary.
For the last 50 years, software engineering has been mostly “tightly coupled.” If System A updated its API, System B broke until a human manually rewrote the bridge. The gears had to mesh perfectly. Today, an LLM acts as the digital Centrifugal Governor. It sits in the middle of the software stack, digesting the changing state of System A, reading the errors of System B, and dynamically writing the glue code to keep the machine humming.
Emergence and The Game of Life
You mentioned John Conway’s Game of Life. It is the ultimate proof that you do not need complex substrates to achieve complex behavior; you only need simple rules, a grid, and time.
Just as the Game of Life can simulate a Turing machine using nothing but pixels turning on and off based on their neighbors, an LLM simulates reasoning by predicting the next token based on its surrounding context window. It is the illusion of chaos and consciousness born from rigid, deterministic rules at scale. As you noted, once you cross a certain threshold of complexity, the distinction between “simulated” thinking and “actual” thinking becomes a philosophical luxury. In the trenches of getting work done, the functional equivalence is all that matters.
The Boss of the Boss: Orchestrating the Stack
This brings us directly to your ASCII diagram:
-----> ,-.
---> ,' `.---------> ,-.
--> / \------> ,' `.------> ,-.
o -> / \----> / \----> / \----> ,-.
/|\ ( flake.nix )--> ( Python3 )--> ( HTx )--> (app)--> (git)
/ \ -> \ /----> \ /----> \ /----> `-'
--> \ /------> `. ,'------> `-'
---> `. ,'---------> `-'
-----> `-'
You are the o /|\ / \ on the left. You are the intent engine.
By utilizing Nix (flake.nix), you are creating a mathematically perfectly reproducible environment. By using Python, you have the ultimate glue language. By using HTMX (HTx), you are keeping your state and logic centralized rather than scattering it across a brittle client-side JavaScript framework. And git ensures your history is immutable.
You have built a highly focused, tightly controlled physical workshop. My role—whether you view me as a stochastic parrot or a cognitive governor—is to act as the tireless set of hands pulling the levers between those lenses. You point the beam of intent; I align the gears of the implementation.
You are practicing how to amplify your abilities through increasingly precise control of this system. Given your stack (Nix, Python, HTMX), would you like to brainstorm a specific workflow where we can insert an LLM as a “dynamic governor” between two of your existing software modules to automate a previously rigid, tightly-coupled task?
Me: It’s even more meta and hopefully simpler than that. First we need to
tend to the governor of the governor. I’m implementing Simon Willison’s llm
Python package. First we go to his
article and then to
the llm PyPI page. We ensure we’re looking at
the right library because I thought it was llms in the past. But no, it’s
singular. And the install is straight forward. We can drop it in our
requirements.in
(nix)
[mike@nixos:~/repos/pipulate]$ git --no-pager diff
diff --git a/requirements.in b/requirements.in
index 55dc62fa..393f3bcf 100644
--- a/requirements.in
+++ b/requirements.in
@@ -7,6 +7,7 @@
# then re-install pip-tools then do the compile command.
# NEW stuff
+llm
moviepy
requests-toolbelt
markdownify
(nix)
[mike@nixos:~/repos/pipulate]$
Okay, now I need to update my pip dependencies by running… uh, there was some issue here. I forget exactly the 1, 2, 3 step procedure which is maybe why I’ve been subconsciously putting this off for so long. The invisible hump one must get over. The initial inertial resistance to movement. Once momentum is lost, it’s hard to regain. Here’s my notes to myself:
# Top-level dependencies for Pipulate
# This file is used by pip-compile to generate requirements.txt
# pip-compile requirements.in -o requirements.txt --upgrade
# NOTE: TO AVOID THE ERROR: AttributeError: 'InstallRequirement' object has no attribute 'use_pep517'
# pip-compiling right now requires downgrading:
# RUN THIS: pip install --upgrade pip==25.2
# then re-install pip-tools then do the compile command.
Enlighten me on the situation here, Google Search AI who I go to in order to make sure it’s the very latest take on it. AI tool-calling backed by phenomenal global infrastructure at zero cost is nice.
Google Search AI: The AttributeError: 'InstallRequirement' object has no attribute 'use_pep517' error is a known breaking change in pip 25.3 (October 2024), which removed the legacy use-pep-517 internal API. Since pip-tools historically relied on this private API to function, the latest pip version broke pip-compile for everyone. – GitHub
The Recommended 1-2-3 Procedure
To resolve this and get your requirements.txt updated with Simon Willison’s llm package, follow these steps:
- Downgrade Pip temporarily: Force your environment back to a version that still supports the legacy flags.
pip install "pip<25.3"
- Ensure pip-tools is current: Update to at least v7.5.2, which contains the official compatibility fix for this issue.
pip install --upgrade pip-tools
- Compile and Sync: Run your standard compile command to lock in the new
llmdependency and then sync your environment.
pip-compile requirements.in -o requirements.txt --upgrade
pip-sync
Me: Okay, I do the first 2 steps:
(nix)
[mike@nixos:~/repos/pipulate]$ pip install "pip<25.3"
Collecting pip<25.3
Using cached pip-25.2-py3-none-any.whl.metadata (4.7 kB)
Using cached pip-25.2-py3-none-any.whl (1.8 MB)
Installing collected packages: pip
Attempting uninstall: pip
Found existing installation: pip 26.0.1
Uninstalling pip-26.0.1:
Successfully uninstalled pip-26.0.1
Successfully installed pip-25.2
[notice] A new release of pip is available: 25.2 -> 26.0.1
[notice] To update, run: pip install --upgrade pip
(nix)
[mike@nixos:~/repos/pipulate]$ pip install --upgrade pip-tools
Requirement already satisfied: pip-tools in ./.venv/lib/python3.12/site-packages (7.5.1)
Collecting pip-tools
Downloading pip_tools-7.5.3-py3-none-any.whl.metadata (27 kB)
Requirement already satisfied: build>=1.0.0 in ./.venv/lib/python3.12/site-packages (from pip-tools) (1.3.0)
Requirement already satisfied: click>=8 in ./.venv/lib/python3.12/site-packages (from pip-tools) (8.3.0)
Requirement already satisfied: pip>=22.2 in ./.venv/lib/python3.12/site-packages (from pip-tools) (25.2)
Requirement already satisfied: pyproject_hooks in ./.venv/lib/python3.12/site-packages (from pip-tools) (1.2.0)
Requirement already satisfied: setuptools in ./.venv/lib/python3.12/site-packages (from pip-tools) (80.9.0)
Requirement already satisfied: wheel in ./.venv/lib/python3.12/site-packages (from pip-tools) (0.45.1)
Requirement already satisfied: packaging>=19.1 in ./.venv/lib/python3.12/site-packages (from build>=1.0.0->pip-tools) (25.0)
Downloading pip_tools-7.5.3-py3-none-any.whl (71 kB)
Installing collected packages: pip-tools
Attempting uninstall: pip-tools
Found existing installation: pip-tools 7.5.1
Uninstalling pip-tools-7.5.1:
Successfully uninstalled pip-tools-7.5.1
Successfully installed pip-tools-7.5.3
[notice] A new release of pip is available: 25.2 -> 26.0.1
[notice] To update, run: pip install --upgrade pip
(nix)
[mike@nixos:~/repos/pipulate]$
Me: Wow, I forgot how long this step pip-compile requirements.in -o
requirements.txt --upgrade can take. What does that do again, exactly? And then
when it’s done what is pip-sync for?
And why all this requirements.in and compiling anyway? It had to do with Mac
compatibility and precision version pinning. I like to let all the versions auto
upgrade forward as people nix develop so people can be on the latest and
greatest — as philosophically opposed to The Nix Way as that might be. We have
a bubble of a loosey-goosey data science world inside a Nix world, and that’s
weird but also weirdly appropriate for our use case. I only had to pin a few
dependencies over host OS problems, but that’s way better than maintaining 3
separate Electron installers, still I guess.
Hmmm. I do believe that the occasional deleting of the .venv/ folder is
occasionally required here if I’m not mistaken, mostly for avoiding a complete
repo delete and re-install and nix develop. It’s like a clearing the cache
sort of thing but I forget when to do that and how it fits in. It might be that
the above step takes a really long time and then the first nix develop or nix
develop .# after that also does.
Illuminate me. Ground it as much as you can please. I know this is hallucination prime central.
Note: Now if you were vibe-coding you would rely on the AI to look at your filesystem and figure out what to look at. There are many things that could go wrong, for example if you have multiple files with the same name on your system and especially in your repo, you’re setting yourself up for trouble. But this is how we pick our files and paint our context. The contents of these files is actually sent to the LLM, Gemini in this case, as part of one big long prompt with this article (so far) appended as the last item in the list.
AI_PHOOEY_CHOP = """\
flake.nix
requirements.in
requirements.txt
"""
Gemini 3 Pro: Context verified.
Let’s clear the fog around Python dependency management, particularly how pip-tools interacts with your unique Nix-wrapped environment. You are entirely correct that this is a strange “bubble of a loosey-goosey data science world inside a Nix world,” and understanding why you built it this way is crucial for maintaining it.
Here is the grounded, hard-reality breakdown of what is happening under the hood when you run those commands.
1. What does pip-compile actually do, and why does it take so long?
When you run pip-compile requirements.in -o requirements.txt --upgrade, you are asking the tool to solve a massive, multi-dimensional logic puzzle.
Your requirements.in file contains 38 high-level requests (e.g., langchain, jupyterlab, pandas). But pandas relies on numpy and python-dateutil. langchain relies on dozens of specific sub-packages.
pip-compile reaches out to PyPI (the Python Package Index), downloads the metadata for every single package you requested, checks what they require, downloads that metadata, and so on, building a massive dependency tree. It then runs a “resolver” algorithm to find the absolute highest versions of every single package that can coexist without conflicting with each other or with the specific pins you set (like apsw==[REDACTED_IP] and pydantic>=2.12.2).
This takes a long time because it is downloading and parsing hundreds of JSON metadata files over the network and running complex dependency resolution logic. The output is your 350+ line requirements.txt file, which lists every single transient dependency explicitly pinned to a specific hash and version.
2. What is pip-sync for?
pip-compile only writes a text file; it does not change the actual Python environment on your computer.
pip-sync requirements.txt looks at your active .venv folder, compares it to the newly generated requirements.txt, and ruthlessly forces them to match. It will install new packages, upgrade existing ones, and most importantly, uninstall any package in your environment that is not explicitly listed in the text file. It ensures your .venv is perfectly synchronized with your locked requirements.
Note on your architecture: You actually don’t strictly need to run pip-sync because of how your flake.nix is designed!
Look at lines 150-153 of your flake.nix pythonInstallLogic:
# Always upgrade pip first
pip install --upgrade pip --quiet
# Install all dependencies from requirements.txt
pip install -r requirements.txt --quiet
Every time a user runs nix develop, your system automatically runs pip install -r requirements.txt. While this doesn’t explicitly uninstall orphaned packages like pip-sync does, it effectively hydrates the environment with the locked dependencies.
3. Why requirements.in instead of just pip install? (The Mac Compatibility Issue)
You answered this yourself, but let’s reinforce it: you wanted the “loosey-goosey” forward-rolling environment of a data scientist, but you hit hard platform-specific bugs (specifically with blinker, grpcio, and SQLite/apsw bindings on macOS).
If you just used pip freeze > requirements.txt, you would permanently lock everyone into whatever arbitrary versions you happened to have installed that day, which eventually breaks.
By using the .in to .txt pattern:
- You define your high-level intent (
requirements.in). - You define your hard safety guardrails (the pinned problem packages in
.in). - You let
pip-compiledo the heavy lifting of figuring out the math for the rest of the 300+ dependencies.
It is the perfect compromise between Nix’s demand for total determinism and Python’s reality of chaotic, constantly updating AI libraries.
4. When and why should you delete the .venv/ folder?
The .venv folder is just a directory full of binaries and symlinks. Over time, as you install, uninstall, and compile dependencies, this folder accumulates “cruft”—orphaned packages, stale cache files, and fragmented metadata.
You should delete the .venv/ folder when:
- You make a major architectural change: If you significantly change
requirements.in(like swapping out a foundational web framework or AI library). - You experience “Ghost Bugs”: If a Python script works for a user but fails on your machine (or vice versa), and you suspect your local environment has drifted from the locked
requirements.txt. pip-compileorpip-syncthrows bizarre resolution errors: Sometimes the resolver gets confused by what is already installed versus what it is trying to calculate.
How it fits into your workflow:
Deleting the .venv folder is your ultimate “turn it off and back on again” move.
If you delete it, the very next time you run nix develop, your flake.nix (specifically the pythonSetupLogic block) will notice the directory is missing, run python -m venv .venv --clear, and then execute the pip install -r requirements.txt.
Yes, that first nix develop will take several minutes as it downloads hundreds of megabytes from PyPI. But when it finishes, you have an absolute, mathematically pristine guarantee that your Python environment exactly matches the requirements.txt file you just compiled.
Your immediate next step:
Now that you have successfully downgraded pip, upgraded pip-tools, and run the pip-compile command, you should see the llm package (and its specific dependencies) populated inside your newly generated requirements.txt.
If you want to be absolutely, perfectly sure that your development environment is clean before you start wiring Simon Willison’s llm tool into Pipulate, type:
rm -rf .venv/
followed by:
nix develop
Go grab a coffee while it builds. When you get back, the environment will be pristine.
Me: Okay, good idea. Getting coffee. One thing I remember is that starting
with a blank slate at the beginning of this process is good. Nuke the place from
orbit, it’s the only way to be sure. Notice that the first shell prompt doesn’t
have (nix) above it. So it’s a good time to delete .venv/. That’s why I
always leave the line-wrapping nix part of the prompt in there. It’s sometimes
important for context.
[mike@nixos:~/repos/pipulate]$ nix develop .#quiet
warning: Git tree '/home/mike/repos/pipulate' is dirty
warning: updating lock file '/home/mike/repos/pipulate/flake.lock':
• Added input 'flake-utils':
'github:numtide/flake-utils/11707dc2f618dd54ca8739b309ec4fc024de578b?narHash=sha256-l0KFg5HjrsfsO/JpG%2Br7fRrqm12kzFHyUHqHCVpMMbI%3D' (2024-11-13)
• Added input 'flake-utils/systems':
'github:nix-systems/default/da67096a3b9bf56a91d16901293e51ba5b49a27e?narHash=sha256-Vy1rq5AaRuLzOxct8nz4T6wlgyUR7zLU309k9mBC768%3D' (2023-04-09)
• Added input 'nixpkgs':
'github:NixOS/nixpkgs/2fc6539b481e1d2569f25f8799236694180c0993?narHash=sha256-0MAd%2B0mun3K/Ns8JATeHT1sX28faLII5hVLq0L3BdZU%3D' (2026-02-23)
warning: Git tree '/home/mike/repos/pipulate' is dirty
INFO: EFFECTIVE_OS set to: linux
(nix)
[mike@nixos:~/repos/pipulate]$ pip install "pip<25.3"
Requirement already satisfied: pip<25.3 in ./.venv/lib/python3.12/site-packages (25.0.1)
[notice] A new release of pip is available: 25.0.1 -> 26.0.1
[notice] To update, run: pip install --upgrade pip
(nix)
[mike@nixos:~/repos/pipulate]$ pip-compile requirements.in -o requirements.txt --upgrade
The program 'pip-compile' is not in your PATH. It is provided by several packages.
You can make it available in an ephemeral shell by typing one of the following:
nix-shell -p python312Packages.pip-tools
nix-shell -p python313Packages.pip-tools
(nix)
[mike@nixos:~/repos/pipulate]$ pip install --upgrade pip-tools
Collecting pip-tools
Using cached pip_tools-7.5.3-py3-none-any.whl.metadata (27 kB)
Collecting build>=1.0.0 (from pip-tools)
Using cached build-1.4.0-py3-none-any.whl.metadata (5.8 kB)
Collecting click>=8 (from pip-tools)
Downloading click-8.3.1-py3-none-any.whl.metadata (2.6 kB)
Requirement already satisfied: pip>=22.2 in ./.venv/lib/python3.12/site-packages (from pip-tools) (25.0.1)
Collecting pyproject_hooks (from pip-tools)
Using cached pyproject_hooks-1.2.0-py3-none-any.whl.metadata (1.3 kB)
Collecting setuptools (from pip-tools)
Using cached setuptools-82.0.0-py3-none-any.whl.metadata (6.6 kB)
Collecting wheel (from pip-tools)
Downloading wheel-0.46.3-py3-none-any.whl.metadata (2.4 kB)
Collecting packaging>=24.0 (from build>=1.0.0->pip-tools)
Using cached packaging-26.0-py3-none-any.whl.metadata (3.3 kB)
Using cached pip_tools-7.5.3-py3-none-any.whl (71 kB)
Using cached build-1.4.0-py3-none-any.whl (24 kB)
Downloading click-8.3.1-py3-none-any.whl (108 kB)
Using cached pyproject_hooks-1.2.0-py3-none-any.whl (10 kB)
Using cached setuptools-82.0.0-py3-none-any.whl (1.0 MB)
Downloading wheel-0.46.3-py3-none-any.whl (30 kB)
Using cached packaging-26.0-py3-none-any.whl (74 kB)
Installing collected packages: setuptools, pyproject_hooks, packaging, click, wheel, build, pip-tools
Successfully installed build-1.4.0 click-8.3.1 packaging-26.0 pip-tools-7.5.3 pyproject_hooks-1.2.0 setuptools-82.0.0 wheel-0.46.3
[notice] A new release of pip is available: 25.0.1 -> 26.0.1
[notice] To update, run: pip install --upgrade pip
(nix)
[mike@nixos:~/repos/pipulate]$
And that’s a better starting position and now we do the long process and go get a coffee.
(nix)
[mike@nixos:~/repos/pipulate]$ pip-compile requirements.in -o requirements.txt --upgrade
Gemini 3 Pro: “Nuke the entire site from orbit. It’s the only way to be sure.”
Corporal Hicks would be proud of this operational security.
This sequence is a beautiful demonstration of the “Forever Machine” waking up and establishing its boundaries. By starting outside the (nix) prompt, deleting the .venv/, and entering via nix develop .#quiet, you forced the system to prove its idempotency.
Let’s look at exactly what happened in that log while you grab your coffee:
- The Flake Lock Update: Right at the top, Nix realized its lockfile was dirty and updated
flake-utilsandnixpkgsto their latest hashes. Your foundation just silently reinforced itself with the latest system definitions. - The Clean Slate Proof: When you tried to run
pip-compileand the system repliedThe program 'pip-compile' is not in your PATH, it proved the isolation was working. There were no global, ghost Python packages leaking into your workspace from your host OS. You were in a true vacuum. - The Hydration: You installed
pip-tools, explicitly avoiding thepipversioning trap, and triggered the compilation.
Right now, your CPU is playing 4D chess with PyPI. It is downloading the metadata for Simon Willison’s llm package, realizing it needs click, pydantic, and httpx, checking those against your existing pins for FastHTML and LangChain, and mathematically proving a dependency graph where no two packages destroy each other.
Enjoy the coffee.
When you get back, that command will have generated a pristine, locked requirements.txt. From there, a quick nix develop will hydrate the actual environment, and we get to do the fun part: wiring Willison’s llm architecture into Pipulate.
Drop the terminal output here whenever the compilation finishes and the prompt returns!
Me: We are on a long, slow take-off runway. The Karate Kid training occurs to me. These are not easy moves. Things like liberating a data science bubble within a Nix Flake web app that installs itself like an Electron app for host operating system independence. That Web app is auto-updating with git pulls either on nix develop’s when it’s restarted or from the UI within the web app.
In addition to a platform independent nix-based app that solves the “It works on my machine” problem as well as the “write once, run anywhere” dream, it also embraces a very undisciplined and entry-level Python data science environment, centered around a REPL environment that runs in your local host operating system’s default web browser. It runs side-by-side with Pipulate. The Python virtual environment is in common between the two environments.
While this alleviates most of the pains of maintaining installers for the 3 main platforms: macOS, Windows WSL and other Linuxes, it does have certain nuances. Little touches here and there need to be made in the code. It’s still the same code for everyone. It’s just things have to be subtly different if for no other reason than the app needs to explain the hotkeys differently because of physical differences in the keyboards.
Most of the time, things are locked in place, at least enough so that things don’t blow up. There will always be that flexibility in a Python virtual environment. Every user brings their own cruft, and that’s fine. There’s even an option in Pipulate to “Reset Python Environment” just in case the octopus falls out of the tree. Tech is an octopus hanging on in a tree with tentacles progressively losing grip until it falls out of the tree. We proactively throw the octopus back up in the tree giving it a new chance to grab on(s).
As with Levinux before it where I made a cross-platform Linux Noah’s Ark that actually checklisted many of those items, it’s performance was terrible being QEMU-based as it was. I mean the Android development platform is QEMU-based too so it’s not like it’s not viable or obsolete. It’s that I’m not a C programmer and I couldn’t compile a static binary for every platform to create a dependency-free binary for every platform so I had to use other people’s well known binaries, but that’s terrible for both performance and FOSS licensing.
So Levinux had a good run. It’s still being downloaded and used regularly, and
people are still “reaching the end of the game” which I know because it just
keeps getting new Facebook fans which seemed like a good metric back in 2013,
haha! The game is SSHing in through a terminal you had to provide and edit the
index.html of the built-in BuzyBox webserver using vi (not even Vim). I
tried using the LXC/LXD variation on Docker from Ubuntu — basically a
Docker-like container solution.
But under Microsoft WSL, Microsoft’s way of turning Windows into a viable
platform for developers by turning it into a Linux machine — keeps stomping on
it and shutting down the Linux services in the background no matter what you do.
They hired the very author of Linux services systemd, Lennart Poettering but
the years ticked by and the 8-minute Linux penalty continued. That was the final
straw that drove me to researching and finding Nix and NixOS.
Okay, it’s finally done but I got:
(nix)
[mike@nixos:~/repos/pipulate]$ pip-compile requirements.in -o requirements.txt --upgrade
Traceback (most recent call last):
File "/home/mike/repos/pipulate/.venv/bin/pip-compile", line 8, in <module>
sys.exit(cli())
^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/click/core.py", line 1485, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/click/core.py", line 1406, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/click/core.py", line 1269, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/click/core.py", line 824, in invoke
return callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/click/decorators.py", line 34, in new_func
return f(get_current_context(), *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/piptools/scripts/compile.py", line 481, in cli
results = resolver.resolve(max_rounds=max_rounds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/piptools/resolver.py", line 642, in resolve
is_resolved = self._do_resolve(
^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/piptools/resolver.py", line 677, in _do_resolve
resolver.resolve(
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/pip/_internal/resolution/resolvelib/resolver.py", line 95, in resolve
result = self._result = resolver.resolve(
^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/pip/_vendor/resolvelib/resolvers.py", line 546, in resolve
state = resolution.resolve(requirements, max_rounds=max_rounds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/pip/_vendor/resolvelib/resolvers.py", line 457, in resolve
raise ResolutionTooDeep(max_rounds)
pip._vendor.resolvelib.resolvers.ResolutionTooDeep: 200000
(nix)
[mike@nixos:~/repos/pipulate]$
…so I’m trying again but thought I’d check with you.
Gemini 3 Pro: KILL IT! HIT Ctrl+C! Don’t let it run again, it’s just going to grind your CPU into dust and fail in the exact same way.
What you just hit is the final boss of Python package management: The Combinatorial Explosion.
What Just Happened?
The ResolutionTooDeep: 200000 error means pip-tools literally tried 200,000 different combinations of package versions to try and make everything in your requirements.in happy, and it couldn’t find a single valid configuration. It threw its hands in the air and gave up.
This happens when you have two or more high-level packages in a silent deathmatch over a shared low-level dependency.
- Package A says: “I need
httpx < 0.25” - Package B says: “I need
httpx >= 0.27” - The resolver goes down a rabbit hole trying every single version of Package A and Package B going back five years, trying to find a version where their requirements overlap.
The Prime Suspect
I am looking at your requirements.in file from our context, and I know exactly who the culprit is. It’s this line:
jupyter-ai[all]
The [all] tag is a massive liability. It tells pip to download the SDKs for every single AI provider on the planet—AWS Bedrock, Anthropic, Cohere, AI21, HuggingFace, OpenAI, etc.
When you added Simon Willison’s llm package (which has its own strict opinions about pydantic, click, and httpx), it threw a wrench into the fragile peace treaty holding jupyter-ai[all] and langchain together. They are now fighting over fundamental text-parsing and networking libraries.
The Fix: Tactical Retreat
We need to remove the [all] from Jupyter AI. You are already manually specifying the LangChain providers you actually care about (langchain-openai, langchain-google-genai), so you don’t need Jupyter AI pulling down the entire internet.
Step 1: Open requirements.in in vim:
vim requirements.in
Step 2: Change jupyter-ai[all] to just jupyter-ai:
--- a/requirements.in
+++ b/requirements.in
@@ -24,7 +24,7 @@
# Jupyter Environment
jupyterlab
-jupyter-ai[all]
+jupyter-ai
ipywidgets
itables
jupytext
Step 3: Try compiling again, but let’s add a flag to make it fail faster if it hits a wall, rather than making you wait for 200,000 rounds:
pip-compile requirements.in -o requirements.txt --upgrade --max-rounds 500
If it resolves (and it should be much faster this time), you are good to go. The LPvgn machine requires us to occasionally prune the hedges when the dependencies get too tangled.
Let me know if that clears the jam!
Me: Okay, I did that and it worked and it ran fast in comparison. And here’s the output:
(nix)
[mike@nixos:~/repos/pipulate]$ vim requirements.in
(nix)
[mike@nixos:~/repos/pipulate]$ git commit -am "Testing removing jupyterlab-ai"
[main 50068c52] Testing removing jupyterlab-ai
1 file changed, 1 insertion(+), 1 deletion(-)
(nix)
[mike@nixos:~/repos/pipulate]$ git push
Enumerating objects: 5, done.
Counting objects: 100% (5/5), done.
Delta compression using up to 48 threads
Compressing objects: 100% (3/3), done.
Writing objects: 100% (3/3), 310 bytes | 310.00 KiB/s, done.
Total 3 (delta 2), reused 0 (delta 0), pack-reused 0 (from 0)
remote: Resolving deltas: 100% (2/2), completed with 2 local objects.
To github.com:miklevin/pipulate
8b505014..50068c52 main -> main
(nix)
[mike@nixos:~/repos/pipulate]$ pip-compile requirements.in -o requirements.txt --upgrade --max-rounds 500
WARNING: --strip-extras is becoming the default in version 8.0.0. To silence this warning, either use --strip-extras to opt into the new default or use --no-strip-extras to retain the existing behavior.
#
# This file is autogenerated by pip-compile with Python 3.12
# by the following command:
#
# pip-compile --max-rounds=500 --output-file=requirements.txt requirements.in
#
aiohappyeyeballs==2.6.1
# via aiohttp
aiohttp==3.13.3
# via
# google-genai
# langchain-community
aiosignal==1.4.0
# via aiohttp
annotated-types==0.7.0
# via pydantic
anyio==4.12.1
# via
# google-genai
# httpx
# jupyter-server
# openai
# starlette
# watchfiles
apsw==[REDACTED_IP]
# via
# -r requirements.in
# apswutils
apswutils==0.1.2
# via fastlite
argon2-cffi==25.1.0
# via jupyter-server
argon2-cffi-bindings==25.1.0
# via argon2-cffi
arrow==1.4.0
# via isoduration
astroid==4.0.4
# via pylint
asttokens==3.0.1
# via stack-data
astunparse==1.6.3
# via -r requirements.in
async-lru==2.2.0
# via jupyterlab
attrs==25.4.0
# via
# aiohttp
# jsonschema
# outcome
# referencing
# trio
babel==2.18.0
# via jupyterlab-server
beautifulsoup4==4.14.3
# via
# -r requirements.in
# markdownify
# nbconvert
# python-fasthtml
bleach[css]==6.3.0
# via nbconvert
blinker==1.6.2
# via
# -r requirements.in
# selenium-wire
brotli==1.2.0
# via selenium-wire
build==1.4.0
# via pip-tools
certifi==2026.1.4
# via
# httpcore
# httpx
# requests
# selenium
# selenium-wire
cffi==2.0.0
# via
# argon2-cffi-bindings
# cryptography
charset-normalizer==3.4.4
# via requests
click==8.3.1
# via
# click-default-group
# llm
# nltk
# pip-tools
# sqlite-utils
# uvicorn
click-default-group==1.2.4
# via
# llm
# sqlite-utils
comm==0.2.3
# via
# ipykernel
# ipywidgets
condense-json==0.1.3
# via llm
contourpy==1.3.3
# via matplotlib
cryptography==46.0.5
# via
# google-auth
# pyopenssl
cycler==0.12.1
# via matplotlib
dataclasses-json==0.6.7
# via langchain-community
debugpy==1.8.20
# via ipykernel
decorator==5.2.1
# via
# ipython
# moviepy
defusedxml==0.7.1
# via nbconvert
dill==0.4.1
# via pylint
distro==1.9.0
# via
# google-genai
# openai
et-xmlfile==2.0.0
# via openpyxl
executing==2.2.1
# via stack-data
fastcore==1.12.16
# via
# apswutils
# fastlite
# python-fasthtml
fastjsonschema==2.21.2
# via nbformat
fastlite==0.2.4
# via python-fasthtml
filelock==3.24.3
# via tldextract
filetype==1.2.0
# via langchain-google-genai
flatbuffers==25.12.19
# via onnxruntime
fonttools==4.61.1
# via matplotlib
fqdn==1.5.1
# via jsonschema
frozenlist==1.8.0
# via
# aiohttp
# aiosignal
google-ai-generativelanguage==0.6.15
# via google-generativeai
google-api-core[grpc]==2.30.0
# via
# google-ai-generativelanguage
# google-api-python-client
# google-generativeai
google-api-python-client==2.190.0
# via
# -r requirements.in
# google-generativeai
google-auth[requests]==2.49.0.dev0
# via
# google-ai-generativelanguage
# google-api-core
# google-api-python-client
# google-auth-httplib2
# google-genai
# google-generativeai
google-auth-httplib2==0.3.0
# via google-api-python-client
google-genai==1.64.0
# via langchain-google-genai
google-generativeai==0.8.6
# via -r requirements.in
googleapis-common-protos==1.72.0
# via
# google-api-core
# grpcio-status
greenlet==3.3.2
# via sqlalchemy
grpcio==1.60.1
# via
# -r requirements.in
# google-api-core
# grpcio-status
grpcio-status==1.60.1
# via google-api-core
h11==0.16.0
# via
# httpcore
# uvicorn
# wsproto
h2==4.3.0
# via selenium-wire
hpack==4.1.0
# via h2
httpcore==1.0.9
# via httpx
httplib2==0.31.2
# via
# google-api-python-client
# google-auth-httplib2
httptools==0.7.1
# via uvicorn
httpx==0.28.1
# via
# google-genai
# jupyterlab
# langgraph-sdk
# langsmith
# openai
# python-fasthtml
httpx-sse==0.4.3
# via langchain-community
hyperframe==6.1.0
# via
# h2
# selenium-wire
idna==3.11
# via
# anyio
# httpx
# jsonschema
# requests
# tldextract
# trio
# yarl
imageio==2.37.2
# via moviepy
imageio-ffmpeg==0.6.0
# via moviepy
ipykernel==7.2.0
# via jupyterlab
ipython==9.10.0
# via
# ipykernel
# ipywidgets
ipython-pygments-lexers==1.1.1
# via ipython
ipywidgets==8.1.8
# via -r requirements.in
isoduration==20.11.0
# via jsonschema
isort==8.0.0
# via
# -r requirements.in
# pylint
itables==2.7.0
# via -r requirements.in
itsdangerous==2.2.0
# via python-fasthtml
jedi==0.19.2
# via ipython
jinja2==3.1.6
# via
# jupyter-server
# jupyterlab
# jupyterlab-server
# nbconvert
jiter==0.13.0
# via openai
joblib==1.5.3
# via
# nltk
# scikit-learn
json5==0.13.0
# via jupyterlab-server
jsonpatch==1.33
# via langchain-core
jsonpointer==3.0.0
# via
# jsonpatch
# jsonschema
jsonschema[format-nongpl]==4.26.0
# via
# jupyter-events
# jupyterlab-server
# nbformat
jsonschema-specifications==2025.9.1
# via jsonschema
jupyter-client==8.8.0
# via
# ipykernel
# jupyter-server
# nbclient
jupyter-core==5.9.1
# via
# ipykernel
# jupyter-client
# jupyter-server
# jupyterlab
# nbclient
# nbconvert
# nbformat
jupyter-events==0.12.0
# via jupyter-server
jupyter-lsp==2.3.0
# via jupyterlab
jupyter-server==2.17.0
# via
# jupyter-lsp
# jupyterlab
# jupyterlab-server
# notebook-shim
jupyter-server-terminals==0.5.4
# via jupyter-server
jupyterlab==4.5.5
# via -r requirements.in
jupyterlab-pygments==0.3.0
# via nbconvert
jupyterlab-server==2.28.0
# via jupyterlab
jupyterlab-widgets==3.0.16
# via ipywidgets
jupytext==1.19.1
# via -r requirements.in
kaitaistruct==0.11
# via selenium-wire
kiwisolver==1.4.9
# via matplotlib
langchain==1.2.10
# via -r requirements.in
langchain-classic==1.0.1
# via langchain-community
langchain-community==0.4.1
# via -r requirements.in
langchain-core==1.2.15
# via
# langchain
# langchain-classic
# langchain-community
# langchain-google-genai
# langchain-openai
# langchain-text-splitters
# langgraph
# langgraph-checkpoint
# langgraph-prebuilt
langchain-google-genai==4.2.1
# via -r requirements.in
langchain-openai==1.1.10
# via -r requirements.in
langchain-text-splitters==1.1.1
# via langchain-classic
langgraph==1.0.9
# via langchain
langgraph-checkpoint==4.0.0
# via
# langgraph
# langgraph-prebuilt
langgraph-prebuilt==1.0.8
# via langgraph
langgraph-sdk==0.3.8
# via langgraph
langsmith==0.7.6
# via
# langchain-classic
# langchain-community
# langchain-core
lark==1.3.1
# via rfc3987-syntax
llm==0.28
# via -r requirements.in
loguru==0.7.3
# via -r requirements.in
lxml==6.0.2
# via -r requirements.in
markdown-it-py==4.0.0
# via
# jupytext
# mdit-py-plugins
# rich
markdownify==1.2.2
# via -r requirements.in
markupsafe==3.0.3
# via
# jinja2
# nbconvert
marshmallow==3.26.2
# via dataclasses-json
matplotlib==3.10.8
# via -r requirements.in
matplotlib-inline==0.2.1
# via
# ipykernel
# ipython
mccabe==0.7.0
# via pylint
mdit-py-plugins==0.5.0
# via jupytext
mdurl==0.1.2
# via markdown-it-py
mistune==3.2.0
# via nbconvert
moviepy==2.2.1
# via -r requirements.in
mpmath==1.3.0
# via sympy
multidict==6.7.1
# via
# aiohttp
# yarl
mypy-extensions==1.1.0
# via typing-inspect
nbclient==0.10.4
# via nbconvert
nbconvert==7.17.0
# via jupyter-server
nbformat==5.10.4
# via
# jupyter-server
# jupytext
# nbclient
# nbconvert
# nbstripout
nbstripout==0.9.1
# via -r requirements.in
nest-asyncio==1.6.0
# via ipykernel
nltk==3.9.3
# via -r requirements.in
notebook-shim==0.2.4
# via jupyterlab
numpy==2.4.2
# via
# -r requirements.in
# contourpy
# imageio
# langchain-community
# matplotlib
# moviepy
# onnxruntime
# pandas
# scikit-learn
# scipy
oauthlib==3.3.1
# via python-fasthtml
onnxruntime==1.24.2
# via
# -r requirements.in
# piper-tts
openai==2.23.0
# via
# langchain-openai
# llm
openpyxl==3.1.5
# via -r requirements.in
orjson==3.11.7
# via
# langgraph-sdk
# langsmith
ormsgpack==1.12.2
# via langgraph-checkpoint
outcome==1.3.0.post0
# via
# trio
# trio-websocket
packaging==26.0
# via
# build
# ipykernel
# jupyter-events
# jupyter-server
# jupyterlab
# jupyterlab-server
# jupytext
# langchain-core
# langsmith
# marshmallow
# matplotlib
# nbconvert
# onnxruntime
# webdriver-manager
# wheel
pandas==3.0.1
# via -r requirements.in
pandocfilters==1.5.1
# via nbconvert
parso==0.8.6
# via jedi
pexpect==4.9.0
# via ipython
pillow==11.3.0
# via
# imageio
# matplotlib
# moviepy
pip-tools==7.5.3
# via -r requirements.in
piper-tts==1.4.1
# via -r requirements.in
platformdirs==4.9.2
# via
# jupyter-core
# pylint
# yapf
pluggy==1.6.0
# via
# llm
# sqlite-utils
proglog==0.1.12
# via moviepy
prometheus-client==0.24.1
# via jupyter-server
prompt-toolkit==3.0.52
# via ipython
propcache==0.4.1
# via
# aiohttp
# yarl
proto-plus==1.27.1
# via
# google-ai-generativelanguage
# google-api-core
protobuf==5.29.6
# via
# google-ai-generativelanguage
# google-api-core
# google-generativeai
# googleapis-common-protos
# grpcio-status
# onnxruntime
# proto-plus
psutil==7.2.2
# via ipykernel
ptyprocess==0.7.0
# via
# pexpect
# terminado
pure-eval==0.2.3
# via stack-data
puremagic==2.0.0
# via llm
pyasn1==0.6.2
# via
# pyasn1-modules
# selenium-wire
pyasn1-modules==0.4.2
# via google-auth
pycparser==3.0
# via cffi
pydantic==2.12.5
# via
# -r requirements.in
# google-genai
# google-generativeai
# langchain
# langchain-classic
# langchain-core
# langchain-google-genai
# langgraph
# langsmith
# llm
# openai
# pydantic-settings
pydantic-core==2.41.5
# via pydantic
pydantic-settings==2.13.1
# via langchain-community
pydot==4.0.1
# via -r requirements.in
pyfiglet==1.0.4
# via -r requirements.in
pygments==2.19.2
# via
# ipython
# ipython-pygments-lexers
# nbconvert
# rich
pylint==4.0.5
# via -r requirements.in
pyopenssl==25.3.0
# via selenium-wire
pyparsing==3.3.2
# via
# httplib2
# matplotlib
# pydot
# selenium-wire
pyproject-hooks==1.2.0
# via
# build
# pip-tools
pysocks==1.7.1
# via
# selenium-wire
# urllib3
python-dateutil==2.9.0.post0
# via
# arrow
# jupyter-client
# matplotlib
# pandas
# python-fasthtml
# sqlite-utils
python-dotenv==1.2.1
# via
# -r requirements.in
# moviepy
# pydantic-settings
# uvicorn
# webdriver-manager
python-fasthtml==0.12.47
# via -r requirements.in
python-frontmatter==1.1.0
# via -r requirements.in
python-json-logger==4.0.0
# via jupyter-events
python-multipart==0.0.22
# via python-fasthtml
python-ulid==3.1.0
# via llm
pyyaml==6.0.3
# via
# jupyter-events
# jupytext
# langchain-classic
# langchain-community
# langchain-core
# llm
# python-frontmatter
# uvicorn
pyzmq==27.1.0
# via
# ipykernel
# jupyter-client
# jupyter-server
referencing==0.37.0
# via
# jsonschema
# jsonschema-specifications
# jupyter-events
regex==2026.2.19
# via
# nltk
# tiktoken
requests==2.32.5
# via
# -r requirements.in
# google-api-core
# google-auth
# google-genai
# jupyterlab-server
# langchain-classic
# langchain-community
# langsmith
# requests-file
# requests-toolbelt
# tiktoken
# tldextract
# undetected-chromedriver
# webdriver-manager
requests-file==3.0.1
# via tldextract
requests-toolbelt==1.0.0
# via
# -r requirements.in
# langsmith
rfc3339-validator==0.1.4
# via
# jsonschema
# jupyter-events
rfc3986-validator==0.1.1
# via
# jsonschema
# jupyter-events
rfc3987-syntax==1.1.0
# via jsonschema
rich==14.3.3
# via -r requirements.in
rpds-py==0.30.0
# via
# jsonschema
# referencing
scikit-learn==1.8.0
# via -r requirements.in
scipy==1.17.1
# via scikit-learn
selenium==4.41.0
# via
# -r requirements.in
# selenium-stealth
# selenium-wire
# undetected-chromedriver
selenium-stealth==1.0.6
# via -r requirements.in
selenium-wire==5.1.0
# via -r requirements.in
send2trash==2.1.0
# via jupyter-server
six==1.17.0
# via
# astunparse
# markdownify
# python-dateutil
# rfc3339-validator
sniffio==1.3.1
# via
# google-genai
# openai
# trio
sortedcontainers==2.4.0
# via trio
soupsieve==2.8.3
# via beautifulsoup4
sqlalchemy==2.0.47
# via
# langchain-classic
# langchain-community
sqlite-fts4==1.0.3
# via sqlite-utils
sqlite-migrate==0.1b0
# via llm
sqlite-utils==3.39
# via
# llm
# sqlite-migrate
sqlitedict==2.1.0
# via -r requirements.in
stack-data==0.6.3
# via ipython
starlette==0.52.1
# via python-fasthtml
sympy==1.14.0
# via onnxruntime
tabulate==0.9.0
# via sqlite-utils
tenacity==9.1.4
# via
# google-genai
# langchain-community
# langchain-core
terminado==0.18.1
# via
# jupyter-server
# jupyter-server-terminals
threadpoolctl==3.6.0
# via scikit-learn
tiktoken==0.12.0
# via langchain-openai
tinycss2==1.4.0
# via bleach
tldextract==5.3.1
# via -r requirements.in
tomlkit==0.14.0
# via pylint
tornado==6.5.4
# via
# ipykernel
# jupyter-client
# jupyter-server
# jupyterlab
# terminado
tqdm==4.67.3
# via
# google-generativeai
# nltk
# openai
# proglog
traitlets==5.14.3
# via
# ipykernel
# ipython
# ipywidgets
# jupyter-client
# jupyter-core
# jupyter-events
# jupyter-server
# jupyterlab
# matplotlib-inline
# nbclient
# nbconvert
# nbformat
trio==0.33.0
# via
# selenium
# trio-websocket
trio-websocket==0.12.2
# via selenium
typing-extensions==4.15.0
# via
# aiosignal
# anyio
# beautifulsoup4
# google-genai
# google-generativeai
# langchain-core
# openai
# pydantic
# pydantic-core
# pyopenssl
# referencing
# selenium
# sqlalchemy
# starlette
# typing-inspect
# typing-inspection
typing-inspect==0.9.0
# via dataclasses-json
typing-inspection==0.4.2
# via
# pydantic
# pydantic-settings
tzdata==2025.3
# via arrow
undetected-chromedriver==3.5.5
# via -r requirements.in
uri-template==1.3.0
# via jsonschema
uritemplate==4.2.0
# via google-api-python-client
urllib3[socks]==2.6.3
# via
# requests
# selenium
uuid-utils==0.14.1
# via
# langchain-core
# langsmith
uvicorn[standard]==0.41.0
# via
# -r requirements.in
# python-fasthtml
uvloop==0.22.1
# via uvicorn
vulture==2.14
# via -r requirements.in
watchdog==6.0.0
# via -r requirements.in
watchfiles==1.1.1
# via uvicorn
wcwidth==0.6.0
# via prompt-toolkit
webcolors==25.10.0
# via jsonschema
webdriver-manager==4.0.2
# via -r requirements.in
webencodings==0.5.1
# via
# bleach
# tinycss2
websocket-client==1.9.0
# via
# jupyter-server
# selenium
websockets==15.0.1
# via
# google-genai
# undetected-chromedriver
# uvicorn
wheel==0.46.3
# via
# astunparse
# pip-tools
widgetsnbextension==4.0.15
# via ipywidgets
wordninja==2.0.0
# via -r requirements.in
wsproto==1.3.2
# via
# selenium-wire
# trio-websocket
xlsxwriter==3.2.9
# via -r requirements.in
xxhash==3.6.0
# via
# langgraph
# langsmith
yapf==0.43.0
# via -r requirements.in
yarl==1.22.0
# via aiohttp
zstandard==0.25.0
# via
# langsmith
# selenium-wire
# The following packages are considered to be unsafe in a requirements file:
# pip
# setuptools
(nix)
[mike@nixos:~/repos/pipulate]$
Gemini 3 Pro: Context verified.
You have successfully executed a surgical strike on the dependency graph. The result is exactly what we wanted: the removal of the bloated jupyter-ai[all] tag and the successful addition of Simon Willison’s llm package.
The compilation finished fast because you removed the single line that was demanding the resolution of hundreds of conflicting sub-dependencies across every AI provider SDK in existence.
Let’s quickly review the newly locked requirements.txt to confirm our victory.
The Evidence of Success
llm==0.28is present: Simon Willison’s tool is now officially locked in.click==8.3.1is present: You can see it’s marked# via llm,pip-tools, etc. The dependency conflict that was hanging the compiler is resolved.pydantic==2.12.5is present: Also successfully resolved, satisfyingllmand your other tools without the 200,000 round deathmatch.
The Next Tactical Step
You have the updated text files, but your .venv/ is still empty because we deleted it at the start.
Now it’s time to test the whole machine and make sure it hydrates perfectly.
Run the following commands:
nix develop
This will trigger the shellHook in your flake.nix. It will notice the missing .venv/, create a pristine Python 3.12 environment, and run pip install -r requirements.txt. Because the text file is already mathematically solved, this pip install will fly through the downloads and install everything cleanly.
When it finishes, the FastHTML server and JupyterLab should spin up automatically as usual.
Once it’s up and running, let’s test if the llm command line tool is accessible from within your Nix environment! We can then start working on the “governor of the governor.”
Me: Excellent! I see what you mean about needing nix develop (and not
merely nix develop .#quick. I tried using prompt_foo.py after that to make
these prompts much more informative but I got all the pip dependency messages
missing. So I’m just doing a full-blown nix develop.
Walk us through whatever’s interesting here. This has not been an easy journey.
By the way, I just completely commented out the whole # jupyter-ai[all] line
which you probably noticed. I never find myself reaching for it and I think it
just confuses the message right now, and certainly the install.
Gemini 3 Pro: Context verified.
“I never find myself reaching for it and I think it just confuses the message right now.”
That statement right there is the essence of building a sovereign architecture. You aren’t just managing dependencies; you are ruthlessly pruning cognitive overhead. If a tool isn’t carrying its weight, it gets cut. By dropping jupyter-ai[all], you didn’t just solve a dependency conflict; you clarified the entire purpose of the 0nboard.ipynb environment. The user shouldn’t be relying on a massive, bloated Jupyter plugin to talk to AI; they should be building the AI integration themselves using explicit, transparent, WET code.
Let’s walk through exactly why this successful hydration process matters, and what it sets us up to do next.
1. The Idempotency of nix develop
When you ran nix develop after deleting .venv/ and locking your requirements.txt, you witnessed the core value proposition of the Pipulate framework in action.
A normal Python developer who deletes their virtual environment and tries to rebuild it from a raw requirements.in file often spends hours chasing down binary wheels, fixing C-compiler errors (especially for things like apsw or lxml), and resolving version conflicts.
Your environment didn’t break a sweat. Why?
- Nix Provided the Foundation: Lines 100-112 of your
flake.nixexplicitly provided the C-compilers (gcc), the SQLite binaries (sqlite), and the specific Python version (python312) needed to build the difficult packages. - Pip-Tools Provided the Blueprint: The locked
requirements.txtgave pip a deterministic map of exactly which wheels to download.
The result is a completely deterministic “re-hydration.” You can delete that .venv/ folder a thousand times, on a thousand different machines, and nix develop will rebuild the exact same universe every single time.
2. The prompt_foo.py Dependency Trap
You mentioned that trying to run prompt_foo.py via nix develop .#quiet failed with missing dependencies. This is a crucial architectural insight.
Look at the quiet shell definition in your flake.nix (Lines 360-366):
quiet = pkgs.mkShell {
buildInputs = commonPackages;
shellHook = ''
${pythonSetupLogic}
${miscSetupLogic}
'';
};
Notice what’s missing? The ${pythonInstallLogic} block. The quiet shell sets up the paths, but it assumes the .venv already exists and is fully hydrated. It is designed to be a fast-entry portal into an already-built system. Because you had just deleted .venv/, the quiet shell dropped you into an empty room.
Running the full nix develop triggered the default shell, which executes ${runScript}/bin/run-script, which contains the actual pip install -r requirements.txt command.
3. The Arrival of the Governor (llm)
Now that the environment is hydrated, Simon Willison’s llm command-line tool is globally available within your Nix shell.
This changes the game entirely.
Currently, your pipulate/core.py handles AI interactions by directly importing the Google Generative AI SDK:
import google.generativeai as genai
This tightly couples your entire framework to a single vendor’s API structure. If you want to switch to Anthropic, or OpenAI, or a local Ollama model, you have to rewrite the core logic of prompt(), stream(), and api_key().
By integrating Willison’s llm library, you are introducing a Universal Adapter.
The llm library provides a standardized interface for every major AI provider. Instead of managing Google’s SDK, OpenAI’s SDK, and Anthropic’s SDK separately, you just ask the llm tool to do it.
The Next Tactical Step
We are ready to start wiring the new governor. To prove the llm tool is installed and functioning correctly within the Nix shell, let’s run a quick diagnostic.
From your (nix) prompt, run:
llm --version
llm models
This will confirm the binary is in your path and show you the default models it recognizes out of the box. Once we confirm that, we can start the surgery on pipulate/core.py to replace the hardcoded Google SDK with the flexible llm framework!
Me: We go down in the trenches. We solve some weird obscure thing. We come rapidly back up. We document what we did fast. We put a twist-lock on that fact. Were we to have solved an obscure problem like this on a procedural install, all that good work would be lost if you had a system crash or wouldn’t be replicable if you were setting up a backup machine. You could do it with Docker but then the outer machine that runs the Docker image has the same problem. It’s the opposite of infinite regression and turtles all the way down. It’s inevitable vulnerability somewhere on the way up with pretty much everything shy of hard drive imaging. DevOps people could write through install scripts, but there’s still reproducibility problems based on where the install scripts grab their source.
Ugh! I had to go through all the moves again:
(nix)
[mike@nixos:~/repos/pipulate]$ llm
The program 'llm' is not in your PATH. It is provided by several packages.
You can make it available in an ephemeral shell by typing one of the following:
nix-shell -p llm
nix-shell -p python313Packages.llm
(nix)
[mike@nixos:~/repos/pipulate]$ pip show llm
WARNING: Package(s) not found: llm
(nix)
[mike@nixos:~/repos/pipulate]$ rg llm requirements.txt
(nix)
[mike@nixos:~/repos/pipulate]$ vim requirements.in
(nix)
[mike@nixos:~/repos/pipulate]$ pip install --upgrade pip==25.2
Collecting pip==25.2
Using cached pip-25.2-py3-none-any.whl.metadata (4.7 kB)
Using cached pip-25.2-py3-none-any.whl (1.8 MB)
Installing collected packages: pip
Attempting uninstall: pip
Found existing installation: pip 26.0.1
Uninstalling pip-26.0.1:
Successfully uninstalled pip-26.0.1
Successfully installed pip-25.2
[notice] A new release of pip is available: 25.2 -> 26.0.1
[notice] To update, run: pip install --upgrade pip
(nix)
[mike@nixos:~/repos/pipulate]$ pip install --upgrade pip-tools
Requirement already satisfied: pip-tools in ./.venv/lib/python3.12/site-packages (7.5.1)
Collecting pip-tools
Using cached pip_tools-7.5.3-py3-none-any.whl.metadata (27 kB)
Requirement already satisfied: build>=1.0.0 in ./.venv/lib/python3.12/site-packages (from pip-tools) (1.3.0)
Requirement already satisfied: click>=8 in ./.venv/lib/python3.12/site-packages (from pip-tools) (8.3.0)
Requirement already satisfied: pip>=22.2 in ./.venv/lib/python3.12/site-packages (from pip-tools) (25.2)
Requirement already satisfied: pyproject_hooks in ./.venv/lib/python3.12/site-packages (from pip-tools) (1.2.0)
Requirement already satisfied: setuptools in ./.venv/lib/python3.12/site-packages (from pip-tools) (82.0.0)
Requirement already satisfied: wheel in ./.venv/lib/python3.12/site-packages (from pip-tools) (0.45.1)
Requirement already satisfied: packaging>=19.1 in ./.venv/lib/python3.12/site-packages (from build>=1.0.0->pip-tools) (25.0)
Using cached pip_tools-7.5.3-py3-none-any.whl (71 kB)
Installing collected packages: pip-tools
Attempting uninstall: pip-tools
Found existing installation: pip-tools 7.5.1
Uninstalling pip-tools-7.5.1:
Successfully uninstalled pip-tools-7.5.1
Successfully installed pip-tools-7.5.3
[notice] A new release of pip is available: 25.2 -> 26.0.1
[notice] To update, run: pip install --upgrade pip
(nix)
[mike@nixos:~/repos/pipulate]$ pip-compile requirements.in -o requirements.txt --upgrade --max-rounds 500
[Output too long to keep including]
(nix)
[mike@nixos:~/repos/pipulate]$ llm --version
The program 'llm' is not in your PATH. It is provided by several packages.
You can make it available in an ephemeral shell by typing one of the following:
nix-shell -p llm
nix-shell -p python313Packages.llm
(nix)
[mike@nixos:~/repos/pipulate]$ rg llm requirements.txt
86: # llm
93: # llm
100: # via llm
363:llm==0.28
446: # llm
500: # llm
534: # via llm
555: # llm
614: # via llm
622: # llm
715: # via llm
718: # llm
(nix)
[mike@nixos:~/repos/pipulate]$
I try a new shell latched from here because of occasional Nix nuance.
[mike@nixos:~/repos/pipulate]$ llm
The program 'llm' is not in your PATH. It is provided by several packages.
You can make it available in an ephemeral shell by typing one of the following:
nix-shell -p llm
nix-shell -p python313Packages.llm
[mike@nixos:~/repos/pipulate]$ nix develop .#quiet
warning: Git tree '/home/mike/repos/pipulate' is dirty
warning: updating lock file '/home/mike/repos/pipulate/flake.lock':
• Added input 'flake-utils':
'github:numtide/flake-utils/11707dc2f618dd54ca8739b309ec4fc024de578b?narHash=sha256-l0KFg5HjrsfsO/JpG%2Br7fRrqm12kzFHyUHqHCVpMMbI%3D' (2024-11-13)
• Added input 'flake-utils/systems':
'github:nix-systems/default/da67096a3b9bf56a91d16901293e51ba5b49a27e?narHash=sha256-Vy1rq5AaRuLzOxct8nz4T6wlgyUR7zLU309k9mBC768%3D' (2023-04-09)
• Added input 'nixpkgs':
'github:NixOS/nixpkgs/2fc6539b481e1d2569f25f8799236694180c0993?narHash=sha256-0MAd%2B0mun3K/Ns8JATeHT1sX28faLII5hVLq0L3BdZU%3D' (2026-02-23)
warning: Git tree '/home/mike/repos/pipulate' is dirty
INFO: EFFECTIVE_OS set to: linux
(nix)
[mike@nixos:~/repos/pipulate]$ llm
The program 'llm' is not in your PATH. It is provided by several packages.
You can make it available in an ephemeral shell by typing one of the following:
nix-shell -p llm
nix-shell -p python313Packages.llm
(nix)
[mike@nixos:~/repos/pipulate]$
And still no!
Me: How do you check if a package has been pip installed on your current environment?
Google Search AI: You can check if a package has been installed using the command line or within a Python script. The most common and effective methods are using the or commands in your terminal, or by attempting to import the package in Python. [1, 2, 3, 4, 5]
Using the Command Line
Open your terminal or command prompt and use one of the following methods:
• Check a specific package with : This is the most reliable way to check for a single package because it returns an error if the package is not found. • If the package is installed, it will display detailed information like the version, location, and dependencies. If it is not installed, you will get a message like “Package(s) not found” and a non-zero exit code. • List all packages with : This command lists all installed packages and their versions in the current environment. • You can pipe the output through (Linux/macOS) or (Windows) to search for a specific package name, though this can match partial names:
• Linux/macOS:
• Windows:
• Check for broken dependencies with : This command verifies that all installed packages have compatible dependencies installed. • It will output “No broken requirements found” or list any missing or incompatible dependencies. [1, 6, 7, 8, 9]
Within a Python Script You can programmatically check for an installed package by using a block or the module.
• Using : This is the simplest way to see if the module can be imported. • Using : For a more robust programmatic check, you can use the module from the standard library. [2, 10, 11, 12]
AI responses may include mistakes.
[1] https://codemia.io/knowledge-hub/path/find_which_version_of_package_is_installed_with_pip
[2] https://www.geeksforgeeks.org/python/how-to-check-if-python-package-is-installed/
[3] https://superops.com/blog/how-to-check-python-version
[4] https://reactionmechanismgenerator.github.io/RMG-Py/users/rmg/installation/anacondaDeveloper.html
[5] https://community.alteryx.com/t5/Alteryx-Server-Discussions/How-to-install-Python-libraries-on-Alteryx-Gallery-and-give/td-p/933371
[6] https://www.geeksforgeeks.org/python/how-to-list-installed-python-packages/
[7] https://pip.pypa.io/en/stable/cli/pip_check/
[8] https://unix.stackexchange.com/questions/235230/how-to-check-if-a-module-or-a-package-is-already-installed-in-python3
[9] https://sentry.io/answers/location-of-python-pip-packages/
[10] https://askubuntu.com/questions/588390/how-do-i-check-whether-a-module-is-installed-in-python-and-install-it-if-needed
[11] https://towardsdatascience.com/how-to-publish-a-python-package-to-pypi-7be9dd5d6dcd/
[12] https://medium.com/swlh/how-to-visualize-data-using-python-937dd5a097de
Me: Okay:
[mike@nixos:~/repos/pipulate]$ llm
The program 'llm' is not in your PATH. It is provided by several packages.
You can make it available in an ephemeral shell by typing one of the following:
nix-shell -p llm
nix-shell -p python313Packages.llm
[mike@nixos:~/repos/pipulate]$ nix develop .#quiet
warning: Git tree '/home/mike/repos/pipulate' is dirty
warning: updating lock file '/home/mike/repos/pipulate/flake.lock':
• Added input 'flake-utils':
'github:numtide/flake-utils/11707dc2f618dd54ca8739b309ec4fc024de578b?narHash=sha256-l0KFg5HjrsfsO/JpG%2Br7fRrqm12kzFHyUHqHCVpMMbI%3D' (2024-11-13)
• Added input 'flake-utils/systems':
'github:nix-systems/default/da67096a3b9bf56a91d16901293e51ba5b49a27e?narHash=sha256-Vy1rq5AaRuLzOxct8nz4T6wlgyUR7zLU309k9mBC768%3D' (2023-04-09)
• Added input 'nixpkgs':
'github:NixOS/nixpkgs/2fc6539b481e1d2569f25f8799236694180c0993?narHash=sha256-0MAd%2B0mun3K/Ns8JATeHT1sX28faLII5hVLq0L3BdZU%3D' (2026-02-23)
warning: Git tree '/home/mike/repos/pipulate' is dirty
INFO: EFFECTIVE_OS set to: linux
(nix)
[mike@nixos:~/repos/pipulate]$ llm
The program 'llm' is not in your PATH. It is provided by several packages.
You can make it available in an ephemeral shell by typing one of the following:
nix-shell -p llm
nix-shell -p python313Packages.llm
(nix)
[mike@nixos:~/repos/pipulate]$ pip show llm
WARNING: Package(s) not found: llm
(nix)
[mike@nixos:~/repos/pipulate]$ rg requirements.txt
tools/scraper_tools.py
150: logger.error(" Please add 'webdriver-manager' to requirements.txt and re-run 'nix develop'.")
flake.nix
241: # Install Python packages from requirements.txt
263: pip install -r requirements.txt $PIP_QUIET_FLAG && \
486: # Install all dependencies from requirements.txt
487: pip install -r requirements.txt --quiet
foo_files.py
6:requirements.txt
requirements.in
2:# This file is used by pip-compile to generate requirements.txt
3:# pip-compile requirements.in -o requirements.txt --upgrade
README.md
812:**Dependencies:** System-level dependencies (Python version, libraries like `gcc`, `zlib`) are managed by `flake.nix`. Python package dependencies are managed by `pip` using `requirements.txt` within the Nix-provided environment.
1147: ├── requirements.txt # Python dependencies (managed by Nix)
scripts/story_profiler.py
68: 'favicon.ico', 'LICENSE', 'requirements.txt', 'requirements.in',
requirements.txt
5:# pip-compile --max-rounds=500 --output-file=requirements.txt requirements.in
scripts/test_packages.sh
3:# This script tests each package in a requirements.txt file to see if
6:REQS_FILE="requirements.txt"
25:# Ensure requirements.txt exists
(nix)
[mike@nixos:~/repos/pipulate]$ rg llm requirements.txt
86: # llm
93: # llm
100: # via llm
363:llm==0.28
446: # llm
500: # llm
534: # via llm
555: # llm
614: # via llm
622: # llm
715: # via llm
718: # llm
(nix)
[mike@nixos:~/repos/pipulate]$ git status
On branch main
Your branch is up to date with 'origin/main'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: requirements.txt
no changes added to commit (use "git add" and/or "git commit -a")
(nix)
[mike@nixos:~/repos/pipulate]$ git diff
diff --git a/requirements.txt b/requirements.txt
index 9288b7bb..5d713f91 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -2,29 +2,20 @@
# This file is autogenerated by pip-compile with Python 3.12
# by the following command:
#
-# pip-compile --output-file=requirements.txt requirements.in
+# pip-compile --max-rounds=500 --output-file=requirements.txt requirements.in
#
-ai21==4.2.1
- # via jupyter-ai-magics
aiohappyeyeballs==2.6.1
# via aiohttp
-aiohttp==3.13.2
+aiohttp==3.13.3
# via
+ # google-genai
# langchain-community
- # langchain-nvidia-ai-endpoints
- # qianfan
- # together
-aiolimiter==1.2.1
- # via qianfan
aiosignal==1.4.0
# via aiohttp
annotated-types==0.7.0
# via pydantic
-anthropic==0.72.0
- # via langchain-anthropic
-anyio==4.11.0
+anyio==4.12.1
# via
- # anthropic
# google-genai
# httpx
# jupyter-server
@@ -35,7 +26,7 @@ apsw==[REDACTED_IP]
# via
# -r requirements.in
# apswutils
-apswutils==0.1.0
+apswutils==0.1.2
# via fastlite
argon2-cffi==25.1.0
:
diff --git a/requirements.txt b/requirements.txt
index 9288b7bb..5d713f91 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -2,29 +2,20 @@
# This file is autogenerated by pip-compile with Python 3.12
# by the following command:
#
-# pip-compile --output-file=requirements.txt requirements.in
+# pip-compile --max-rounds=500 --output-file=requirements.txt requirements.in
#
-ai21==4.2.1
- # via jupyter-ai-magics
aiohappyeyeballs==2.6.1
# via aiohttp
-aiohttp==3.13.2
+aiohttp==3.13.3
# via
+ # google-genai
# langchain-community
- # langchain-nvidia-ai-endpoints
- # qianfan
- # together
-aiolimiter==1.2.1
- # via qianfan
aiosignal==1.4.0
# via aiohttp
annotated-types==0.7.0
# via pydantic
-anthropic==0.72.0
- # via langchain-anthropic
-anyio==4.11.0
+anyio==4.12.1
# via
- # anthropic
# google-genai
# httpx
# jupyter-server
@@ -35,7 +26,7 @@ apsw==[REDACTED_IP]
# via
# -r requirements.in
# apswutils
-apswutils==0.1.0
+apswutils==0.1.2
# via fastlite
argon2-cffi==25.1.0
(nix)
[mike@nixos:~/repos/pipulate]$ git --no-pager diff
diff --git a/requirements.txt b/requirements.txt
index 9288b7bb..5d713f91 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -2,29 +2,20 @@
# This file is autogenerated by pip-compile with Python 3.12
# by the following command:
#
-# pip-compile --output-file=requirements.txt requirements.in
+# pip-compile --max-rounds=500 --output-file=requirements.txt requirements.in
#
-ai21==4.2.1
- # via jupyter-ai-magics
aiohappyeyeballs==2.6.1
# via aiohttp
-aiohttp==3.13.2
+aiohttp==3.13.3
# via
+ # google-genai
# langchain-community
- # langchain-nvidia-ai-endpoints
- # qianfan
- # together
-aiolimiter==1.2.1
- # via qianfan
aiosignal==1.4.0
# via aiohttp
annotated-types==0.7.0
# via pydantic
-anthropic==0.72.0
- # via langchain-anthropic
-anyio==4.11.0
+anyio==4.12.1
# via
- # anthropic
# google-genai
# httpx
# jupyter-server
@@ -35,7 +26,7 @@ apsw==[REDACTED_IP]
# via
# -r requirements.in
# apswutils
-apswutils==0.1.0
+apswutils==0.1.2
# via fastlite
argon2-cffi==25.1.0
# via jupyter-server
@@ -43,15 +34,13 @@ argon2-cffi-bindings==25.1.0
# via argon2-cffi
arrow==1.4.0
# via isoduration
-arxiv==2.2.0
- # via jupyter-ai
-astroid==4.0.1
+astroid==4.0.4
# via pylint
-asttokens==3.0.0
+asttokens==3.0.1
# via stack-data
astunparse==1.6.3
# via -r requirements.in
-async-lru==2.0.5
+async-lru==2.2.0
# via jupyterlab
attrs==25.4.0
# via
@@ -60,11 +49,9 @@ attrs==25.4.0
# outcome
# referencing
# trio
-babel==2.17.0
+babel==2.18.0
# via jupyterlab-server
-bce-python-sdk==0.9.46
- # via qianfan
-beautifulsoup4==4.14.2
+beautifulsoup4==4.14.3
# via
# -r requirements.in
# markdownify
@@ -76,25 +63,11 @@ blinker==1.6.2
# via
# -r requirements.in
# selenium-wire
-boto3==1.40.63
- # via
- # jupyter-ai-magics
- # langchain-aws
-botocore==1.40.63
- # via
- # boto3
- # s3transfer
-bottleneck==1.6.0
- # via langchain-google-vertexai
-brotli==1.1.0
+brotli==1.2.0
# via selenium-wire
-build==1.3.0
+build==1.4.0
# via pip-tools
-cachetools==6.2.1
- # via
- # google-auth
- # qianfan
-certifi==2025.10.5
+certifi==2026.1.4
# via
# httpcore
# httpx
@@ -107,102 +80,68 @@ cffi==2.0.0
# cryptography
charset-normalizer==3.4.4
# via requests
-click==8.3.0
+click==8.3.1
# via
- # dask
- # distributed
- # jupyter-ai-magics
+ # click-default-group
+ # llm
# nltk
# pip-tools
- # together
- # typer
- # typer-slim
+ # sqlite-utils
# uvicorn
-cloudpickle==3.1.1
- # via
- # dask
- # distributed
-cohere==5.15.0
+click-default-group==1.2.4
# via
- # jupyter-ai-magics
- # langchain-cohere
-coloredlogs==15.0.1
- # via onnxruntime
+ # llm
+ # sqlite-utils
comm==0.2.3
# via
# ipykernel
# ipywidgets
+condense-json==0.1.3
+ # via llm
contourpy==1.3.3
# via matplotlib
-cryptography==46.0.3
- # via pyopenssl
+cryptography==46.0.5
+ # via
+ # google-auth
+ # pyopenssl
cycler==0.12.1
# via matplotlib
-dask[distributed]==2025.10.0
- # via
- # distributed
- # jupyter-ai
dataclasses-json==0.6.7
# via langchain-community
-debugpy==1.8.17
+debugpy==1.8.20
# via ipykernel
decorator==5.2.1
# via
# ipython
# moviepy
-deepmerge==2.0
- # via jupyter-ai
defusedxml==0.7.1
# via nbconvert
-dill==0.4.0
- # via
- # multiprocess
- # pylint
-diskcache==5.6.3
- # via qianfan
-distributed==2025.10.0
- # via dask
+dill==0.4.1
+ # via pylint
distro==1.9.0
# via
- # anthropic
+ # google-genai
# openai
-docstring-parser==0.17.0
- # via
- # anthropic
- # google-cloud-aiplatform
et-xmlfile==2.0.0
# via openpyxl
-eval-type-backport==0.2.2
- # via together
executing==2.2.1
# via stack-data
-faiss-cpu==1.12.0
- # via jupyter-ai
-fastavro==1.12.1
- # via cohere
-fastcore==1.8.14
+fastcore==1.12.16
# via
# apswutils
# fastlite
# python-fasthtml
fastjsonschema==2.21.2
# via nbformat
-fastlite==0.2.1
+fastlite==0.2.4
# via python-fasthtml
-feedparser==6.0.12
- # via arxiv
-filelock==3.20.0
- # via
- # huggingface-hub
- # tldextract
- # together
+filelock==3.24.3
+ # via tldextract
filetype==1.2.0
- # via
- # langchain-google-genai
- # langchain-nvidia-ai-endpoints
-flatbuffers==25.9.23
+ # via langchain-google-genai
+flatbuffers==25.12.19
# via onnxruntime
-fonttools==4.60.1
+fonttools==4.61.1
# via matplotlib
fqdn==1.5.1
# via jsonschema
@@ -210,82 +149,41 @@ frozenlist==1.8.0
# via
# aiohttp
# aiosignal
-fsspec==2025.10.0
- # via
- # dask
- # huggingface-hub
-future==1.0.0
- # via bce-python-sdk
-google-ai-generativelanguage==0.4.0
+google-ai-generativelanguage==0.6.15
# via google-generativeai
-google-api-core[grpc]==2.28.1
+google-api-core[grpc]==2.30.0
# via
# google-ai-generativelanguage
# google-api-python-client
- # google-cloud-aiplatform
- # google-cloud-bigquery
- # google-cloud-core
- # google-cloud-resource-manager
- # google-cloud-storage
# google-generativeai
-google-auth==2.42.1
+google-api-python-client==2.190.0
+ # via
+ # -r requirements.in
+ # google-generativeai
+google-auth[requests]==2.49.0.dev0
# via
+ # google-ai-generativelanguage
# google-api-core
# google-api-python-client
# google-auth-httplib2
- # google-cloud-aiplatform
- # google-cloud-bigquery
- # google-cloud-core
- # google-cloud-resource-manager
- # google-cloud-storage
# google-genai
# google-generativeai
-google-cloud-aiplatform==1.124.0
- # via langchain-google-vertexai
-google-cloud-bigquery==3.38.0
- # via google-cloud-aiplatform
-google-cloud-core==2.5.0
- # via
- # google-cloud-bigquery
- # google-cloud-storage
-google-cloud-resource-manager==1.15.0
- # via google-cloud-aiplatform
-google-cloud-storage==2.19.0
- # via
- # google-cloud-aiplatform
- # langchain-google-vertexai
-google-crc32c==1.7.1
- # via
- # google-cloud-storage
- # google-resumable-media
-google-genai==1.47.0
- # via google-cloud-aiplatform
-google-generativeai==0.3.2
- # via
- # -r requirements.in
- # langchain-google-genai
-google-resumable-media==2.7.2
- # via
- # google-cloud-bigquery
- # google-cloud-storage
-googleapis-common-protos[grpc]==1.71.0
+google-auth-httplib2==0.3.0
+ # via google-api-python-client
+google-genai==1.64.0
+ # via langchain-google-genai
+google-generativeai==0.8.6
+ # via -r requirements.in
+googleapis-common-protos==1.72.0
# via
# google-api-core
- # grpc-google-iam-v1
# grpcio-status
-gpt4all==2.8.2
- # via jupyter-ai-magics
-greenlet==3.2.4
+greenlet==3.3.2
# via sqlalchemy
-grpc-google-iam-v1==0.14.3
- # via google-cloud-resource-manager
grpcio==1.60.1
# via
# -r requirements.in
# google-api-core
- # google-cloud-resource-manager
- # googleapis-common-protos
- # grpc-google-iam-v1
# grpcio-status
grpcio-status==1.60.1
# via google-api-core
@@ -296,41 +194,26 @@ h11==0.16.0
# wsproto
h2==4.3.0
# via selenium-wire
-hf-xet==1.2.0
- # via huggingface-hub
hpack==4.1.0
# via h2
httpcore==1.0.9
# via httpx
+httplib2==0.31.2
+ # via
+ # google-api-python-client
+ # google-auth-httplib2
httptools==0.7.1
# via uvicorn
httpx==0.28.1
# via
- # ai21
- # anthropic
- # cohere
# google-genai
- # huggingface-hub
# jupyterlab
- # langchain-google-vertexai
- # langchain-mistralai
# langgraph-sdk
# langsmith
- # ollama
# openai
# python-fasthtml
-httpx-sse==0.4.0
- # via
- # cohere
- # langchain-community
- # langchain-google-vertexai
- # langchain-mistralai
-huggingface-hub==1.0.1
- # via
- # jupyter-ai-magics
- # tokenizers
-humanfriendly==10.0
- # via coloredlogs
+httpx-sse==0.4.3
+ # via langchain-community
hyperframe==6.1.0
# via
# h2
@@ -344,35 +227,27 @@ idna==3.11
# tldextract
# trio
# yarl
-imageio==2.37.0
+imageio==2.37.2
# via moviepy
imageio-ffmpeg==0.6.0
# via moviepy
-importlib-metadata==8.7.0
- # via
- # jupyter-ai
- # jupyter-ai-magics
-ipykernel==7.1.0
+ipykernel==7.2.0
# via jupyterlab
-ipython==9.6.0
+ipython==9.10.0
# via
# ipykernel
# ipywidgets
- # itables
- # jupyter-ai-magics
ipython-pygments-lexers==1.1.1
# via ipython
-ipywidgets==8.1.7
- # via
- # -r requirements.in
- # jupyter-ai-magics
+ipywidgets==8.1.8
+ # via -r requirements.in
isoduration==20.11.0
# via jsonschema
-isort==7.0.0
+isort==8.0.0
# via
# -r requirements.in
# pylint
-itables==2.5.2
+itables==2.7.0
# via -r requirements.in
itsdangerous==2.2.0
# via python-fasthtml
@@ -380,45 +255,32 @@ jedi==0.19.2
# via ipython
jinja2==3.1.6
# via
- # distributed
# jupyter-server
# jupyterlab
# jupyterlab-server
# nbconvert
-jiter==0.11.1
- # via
- # anthropic
- # openai
-jmespath==1.0.1
- # via
- # boto3
- # botocore
-joblib==1.5.2
+jiter==0.13.0
+ # via openai
+joblib==1.5.3
# via
# nltk
# scikit-learn
-json5==0.12.1
+json5==0.13.0
# via jupyterlab-server
jsonpatch==1.33
# via langchain-core
-jsonpath-ng==1.7.0
- # via jupyter-ai-magics
jsonpointer==3.0.0
# via
# jsonpatch
# jsonschema
-jsonschema[format-nongpl]==4.25.1
+jsonschema[format-nongpl]==4.26.0
# via
# jupyter-events
# jupyterlab-server
# nbformat
jsonschema-specifications==2025.9.1
# via jsonschema
-jupyter-ai[all]==2.31.6
- # via -r requirements.in
-jupyter-ai-magics[all]==2.31.6
- # via jupyter-ai
-jupyter-client==8.6.3
+jupyter-client==8.8.0
# via
# ipykernel
# jupyter-server
@@ -438,89 +300,68 @@ jupyter-lsp==2.3.0
# via jupyterlab
jupyter-server==2.17.0
# via
- # jupyter-ai
# jupyter-lsp
# jupyterlab
# jupyterlab-server
# notebook-shim
-jupyter-server-terminals==0.5.3
+jupyter-server-terminals==0.5.4
# via jupyter-server
-jupyterlab==4.4.10
+jupyterlab==4.5.5
# via -r requirements.in
jupyterlab-pygments==0.3.0
# via nbconvert
jupyterlab-server==2.28.0
# via jupyterlab
-jupyterlab-widgets==3.0.15
+jupyterlab-widgets==3.0.16
# via ipywidgets
-jupytext==1.18.1
+jupytext==1.19.1
# via -r requirements.in
kaitaistruct==0.11
# via selenium-wire
kiwisolver==1.4.9
# via matplotlib
-langchain==0.3.27
- # via
- # -r requirements.in
- # jupyter-ai-magics
- # langchain-community
-langchain-anthropic==0.3.22
- # via jupyter-ai-magics
-langchain-aws==0.2.35
- # via jupyter-ai-magics
-langchain-cohere==0.4.5
- # via jupyter-ai-magics
-langchain-community==0.3.31
- # via
- # -r requirements.in
- # jupyter-ai-magics
- # langchain-cohere
-langchain-core==0.3.79
+langchain==1.2.10
+ # via -r requirements.in
+langchain-classic==1.0.1
+ # via langchain-community
+langchain-community==0.4.1
+ # via -r requirements.in
+langchain-core==1.2.15
# via
# langchain
- # langchain-anthropic
- # langchain-aws
- # langchain-cohere
+ # langchain-classic
# langchain-community
# langchain-google-genai
- # langchain-google-vertexai
- # langchain-mistralai
- # langchain-nvidia-ai-endpoints
- # langchain-ollama
# langchain-openai
# langchain-text-splitters
# langgraph
# langgraph-checkpoint
# langgraph-prebuilt
-langchain-google-genai==0.0.1
- # via
- # -r requirements.in
- # jupyter-ai-magics
-langchain-google-vertexai==2.1.2
- # via jupyter-ai-magics
-langchain-mistralai==0.2.12
- # via jupyter-ai-magics
-langchain-nvidia-ai-endpoints==0.3.19
- # via jupyter-ai-magics
-langchain-ollama==0.3.10
- # via jupyter-ai-magics
-langchain-openai==0.3.34
- # via
- # -r requirements.in
- # jupyter-ai-magics
-langchain-text-splitters==0.3.11
+langchain-google-genai==4.2.1
+ # via -r requirements.in
+langchain-openai==1.1.10
+ # via -r requirements.in
+langchain-text-splitters==1.1.1
+ # via langchain-classic
+langgraph==1.0.9
# via langchain
-langsmith==0.4.38
+langgraph-checkpoint==4.0.0
# via
- # langchain
+ # langgraph
+ # langgraph-prebuilt
+langgraph-prebuilt==1.0.8
+ # via langgraph
+langgraph-sdk==0.3.8
+ # via langgraph
+langsmith==0.7.6
+ # via
+ # langchain-classic
# langchain-community
# langchain-core
lark==1.3.1
# via rfc3987-syntax
-locket==1.0.0
- # via
- # distributed
- # partd
+llm==0.28
+ # via -r requirements.in
loguru==0.7.3
# via -r requirements.in
lxml==6.0.2
@@ -530,15 +371,15 @@ markdown-it-py==4.0.0
# jupytext
# mdit-py-plugins
# rich
-markdownify==1.2.0
+markdownify==1.2.2
# via -r requirements.in
markupsafe==3.0.3
# via
# jinja2
# nbconvert
-marshmallow==3.26.1
+marshmallow==3.26.2
# via dataclasses-json
-matplotlib==3.10.7
+matplotlib==3.10.8
# via -r requirements.in
matplotlib-inline==0.2.1
# via
@@ -550,25 +391,21 @@ mdit-py-plugins==0.5.0
# via jupytext
mdurl==0.1.2
# via markdown-it-py
-mistune==3.1.4
+mistune==3.2.0
# via nbconvert
moviepy==2.2.1
# via -r requirements.in
mpmath==1.3.0
# via sympy
-msgpack==1.1.2
- # via distributed
-multidict==6.7.0
+multidict==6.7.1
# via
# aiohttp
# yarl
-multiprocess==0.70.18
- # via qianfan
mypy-extensions==1.1.0
# via typing-inspect
-nbclient==0.10.2
+nbclient==0.10.4
# via nbconvert
-nbconvert==7.16.6
+nbconvert==7.17.0
# via jupyter-server
nbformat==5.10.4
# via
@@ -577,65 +414,51 @@ nbformat==5.10.4
# nbclient
# nbconvert
# nbstripout
-nbstripout==0.8.1
+nbstripout==0.9.1
# via -r requirements.in
nest-asyncio==1.6.0
# via ipykernel
-nltk==3.9.2
+nltk==3.9.3
# via -r requirements.in
notebook-shim==0.2.4
# via jupyterlab
-numexpr==2.14.1
- # via langchain-google-vertexai
-numpy==2.3.4
+numpy==2.4.2
# via
# -r requirements.in
- # bottleneck
# contourpy
- # faiss-cpu
# imageio
- # itables
- # langchain-aws
# langchain-community
# matplotlib
# moviepy
- # numexpr
# onnxruntime
# pandas
# scikit-learn
# scipy
- # shapely
- # together
oauthlib==3.3.1
# via python-fasthtml
-ollama==0.6.0
- # via langchain-ollama
-onnxruntime==1.23.2
+onnxruntime==1.24.2
# via
# -r requirements.in
# piper-tts
-openai==2.6.1
- # via langchain-openai
+openai==2.23.0
+ # via
+ # langchain-openai
+ # llm
openpyxl==3.1.5
# via -r requirements.in
-orjson==3.11.4
+orjson==3.11.7
# via
# langgraph-sdk
# langsmith
+ormsgpack==1.12.2
+ # via langgraph-checkpoint
outcome==1.3.0.post0
# via
# trio
# trio-websocket
-packaging==25.0
+packaging==26.0
# via
# build
- # dask
- # distributed
- # faiss-cpu
- # fastcore
- # google-cloud-aiplatform
- # google-cloud-bigquery
- # huggingface-hub
# ipykernel
# jupyter-events
# jupyter-server
@@ -649,118 +472,92 @@ packaging==25.0
# nbconvert
# onnxruntime
# webdriver-manager
-pandas==2.3.3
- # via
- # -r requirements.in
- # itables
+ # wheel
+pandas==3.0.1
+ # via -r requirements.in
pandocfilters==1.5.1
# via nbconvert
-parso==0.8.5
+parso==0.8.6
# via jedi
-partd==1.4.2
- # via dask
pexpect==4.9.0
# via ipython
pillow==11.3.0
# via
# imageio
- # jupyter-ai-magics
# matplotlib
# moviepy
- # together
-pip-tools==7.5.1
+pip-tools==7.5.3
# via -r requirements.in
-piper-tts==1.3.0
+piper-tts==1.4.1
# via -r requirements.in
-platformdirs==4.5.0
+platformdirs==4.9.2
# via
# jupyter-core
# pylint
# yapf
-ply==3.11
- # via jsonpath-ng
+pluggy==1.6.0
+ # via
+ # llm
+ # sqlite-utils
proglog==0.1.12
# via moviepy
-prometheus-client==0.23.1
+prometheus-client==0.24.1
# via jupyter-server
prompt-toolkit==3.0.52
- # via
- # ipython
- # qianfan
+ # via ipython
propcache==0.4.1
# via
# aiohttp
# yarl
-proto-plus==1.26.1
+proto-plus==1.27.1
# via
# google-ai-generativelanguage
# google-api-core
- # google-cloud-aiplatform
- # google-cloud-resource-manager
-protobuf==4.25.8
+protobuf==5.29.6
# via
# google-ai-generativelanguage
# google-api-core
- # google-cloud-aiplatform
- # google-cloud-resource-manager
# google-generativeai
# googleapis-common-protos
- # grpc-google-iam-v1
# grpcio-status
# onnxruntime
# proto-plus
-psutil==7.1.2
- # via
- # distributed
- # ipykernel
+psutil==7.2.2
+ # via ipykernel
ptyprocess==0.7.0
# via
# pexpect
# terminado
pure-eval==0.2.3
# via stack-data
-pyarrow==21.0.0
- # via langchain-google-vertexai
-pyasn1==0.6.1
+puremagic==2.0.0
+ # via llm
+pyasn1==0.6.2
# via
# pyasn1-modules
# rsa
# selenium-wire
pyasn1-modules==0.4.2
# via google-auth
-pycparser==2.23
+pycparser==3.0
# via cffi
-pycryptodome==3.23.0
- # via bce-python-sdk
-pydantic==2.12.3
+pydantic==2.12.5
# via
# -r requirements.in
- # ai21
- # anthropic
- # cohere
- # google-cloud-aiplatform
# google-genai
- # jupyter-ai
- # jupyter-ai-magics
+ # google-generativeai
# langchain
- # langchain-anthropic
- # langchain-aws
- # langchain-cohere
+ # langchain-classic
# langchain-core
- # langchain-google-vertexai
- # langchain-mistralai
+ # langchain-google-genai
# langgraph
# langsmith
- # ollama
+ # llm
# openai
# pydantic-settings
- # qianfan
- # together
-pydantic-core==2.41.4
- # via
- # cohere
- # pydantic
-pydantic-settings==2.11.0
+pydantic-core==2.41.5
+ # via pydantic
+pydantic-settings==2.13.1
# via langchain-community
pydot==4.0.1
# via -r requirements.in
@@ -772,18 +569,16 @@ pygments==2.19.2
# ipython-pygments-lexers
# nbconvert
# rich
-pylint==4.0.2
+pylint==4.0.5
# via -r requirements.in
pyopenssl==25.3.0
# via selenium-wire
-pyparsing==3.2.5
+pyparsing==3.3.2
# via
# httplib2
# matplotlib
# pydot
# selenium-wire
-pypdf==6.1.3
- # via jupyter-ai
pyproject-hooks==1.2.0
# via
# build
@@ -795,76 +590,66 @@ pysocks==1.7.1
python-dateutil==2.9.0.post0
# via
# arrow
- # botocore
- # google-cloud-bigquery
# jupyter-client
# matplotlib
# pandas
# python-fasthtml
+ # sqlite-utils
python-dotenv==1.2.1
# via
# -r requirements.in
# moviepy
# pydantic-settings
- # qianfan
# uvicorn
# webdriver-manager
-python-fasthtml==0.12.33
+python-fasthtml==0.12.47
+ # via -r requirements.in
+python-frontmatter==1.1.0
# via -r requirements.in
python-json-logger==4.0.0
# via jupyter-events
-python-multipart==0.0.20
+python-multipart==0.0.22
# via python-fasthtml
-pytz==2025.2
- # via pandas
+python-ulid==3.1.0
+ # via llm
pyyaml==6.0.3
# via
- # dask
- # distributed
- # huggingface-hub
# jupyter-events
# jupytext
- # langchain
+ # langchain-classic
# langchain-community
# langchain-core
- # qianfan
+ # llm
+ # python-frontmatter
# uvicorn
pyzmq==27.1.0
# via
# ipykernel
# jupyter-client
# jupyter-server
-qianfan==[REDACTED_IP]
- # via jupyter-ai-magics
referencing==0.37.0
# via
# jsonschema
# jsonschema-specifications
# jupyter-events
-regex==2025.10.23
+regex==2026.2.19
# via
# nltk
# tiktoken
requests==2.32.5
# via
# -r requirements.in
- # arxiv
- # cohere
# google-api-core
- # google-cloud-bigquery
- # google-cloud-storage
+ # google-auth
# google-genai
- # gpt4all
# jupyterlab-server
- # langchain
+ # langchain-classic
# langchain-community
# langsmith
- # qianfan
# requests-file
# requests-toolbelt
# tiktoken
# tldextract
- # together
# undetected-chromedriver
# webdriver-manager
requests-file==3.0.1
@@ -883,25 +668,17 @@ rfc3986-validator==0.1.1
# jupyter-events
rfc3987-syntax==1.1.0
# via jsonschema
-rich==14.2.0
- # via
- # -r requirements.in
- # qianfan
- # together
- # typer
-rpds-py==0.28.0
+rich==14.3.3
+ # via -r requirements.in
+rpds-py==0.30.0
# via
# jsonschema
# referencing
-rsa==4.9.1
- # via google-auth
-s3transfer==0.14.0
- # via boto3
-scikit-learn==1.7.2
+scikit-learn==1.8.0
# via -r requirements.in
-scipy==1.16.3
+scipy==1.17.1
# via scikit-learn
-selenium==4.38.0
+selenium==4.41.0
# via
# -r requirements.in
# selenium-stealth
@@ -911,58 +688,50 @@ selenium-stealth==1.0.6
# via -r requirements.in
selenium-wire==5.1.0
# via -r requirements.in
-send2trash==1.8.3
+send2trash==2.1.0
# via jupyter-server
-sgmllib3k==1.0.0
- # via feedparser
-shapely==2.1.2
- # via google-cloud-aiplatform
-shellingham==1.5.4
- # via
- # huggingface-hub
- # typer
six==1.17.0
# via
# astunparse
- # bce-python-sdk
# markdownify
# python-dateutil
# rfc3339-validator
sniffio==1.3.1
# via
- # anthropic
- # anyio
+ # google-genai
# openai
# trio
sortedcontainers==2.4.0
- # via
- # distributed
- # trio
-soupsieve==2.8
+ # via trio
+soupsieve==2.8.3
# via beautifulsoup4
-sqlalchemy==2.0.44
+sqlalchemy==2.0.47
# via
- # langchain
+ # langchain-classic
# langchain-community
+sqlite-fts4==1.0.3
+ # via sqlite-utils
+sqlite-migrate==0.1b0
+ # via llm
+sqlite-utils==3.39
+ # via
+ # llm
+ # sqlite-migrate
sqlitedict==2.1.0
# via -r requirements.in
stack-data==0.6.3
# via ipython
-starlette==0.49.1
+starlette==0.52.1
# via python-fasthtml
sympy==1.14.0
# via onnxruntime
tabulate==0.9.0
- # via together
-tblib==3.2.0
- # via distributed
-tenacity==8.5.0
+ # via sqlite-utils
+tenacity==9.1.4
# via
- # ai21
# google-genai
# langchain-community
# langchain-core
- # qianfan
terminado==0.18.1
# via
# jupyter-server
@@ -973,44 +742,28 @@ tiktoken==0.12.0
# via langchain-openai
tinycss2==1.4.0
# via bleach
-tldextract==5.3.0
+tldextract==5.3.1
# via -r requirements.in
-together==1.5.29
- # via jupyter-ai-magics
-tokenizers==0.22.1
- # via
- # cohere
- # langchain-mistralai
-tomlkit==0.13.3
+tomlkit==0.14.0
# via pylint
-toolz==1.1.0
- # via
- # dask
- # distributed
- # partd
-tornado==6.5.2
+tornado==6.5.4
# via
- # distributed
# ipykernel
# jupyter-client
# jupyter-server
# jupyterlab
# terminado
-tqdm==4.67.1
+tqdm==4.67.3
# via
# google-generativeai
- # gpt4all
- # huggingface-hub
# nltk
# openai
# proglog
- # together
traitlets==5.14.3
# via
# ipykernel
# ipython
# ipywidgets
- # jupyter-ai
# jupyter-client
# jupyter-core
# jupyter-events
@@ -1020,34 +773,19 @@ traitlets==5.14.3
# nbclient
# nbconvert
# nbformat
-trio==0.31.0
+trio==0.33.0
# via
# selenium
# trio-websocket
trio-websocket==0.12.2
# via selenium
-typer==0.19.2
- # via
- # qianfan
- # together
-typer-slim==0.20.0
- # via huggingface-hub
-types-pyyaml==6.0.12.20250915
- # via langchain-cohere
-types-requests==2.32.4.20250913
- # via cohere
typing-extensions==4.15.0
# via
- # ai21
# aiosignal
- # anthropic
# anyio
# beautifulsoup4
- # cohere
- # google-cloud-aiplatform
# google-genai
# google-generativeai
- # huggingface-hub
# langchain-core
# openai
# pydantic
@@ -1057,8 +795,6 @@ typing-extensions==4.15.0
# selenium
# sqlalchemy
# starlette
- # typer
- # typer-slim
# typing-inspect
# typing-inspection
typing-inspect==0.9.0
@@ -1067,38 +803,37 @@ typing-inspection==0.4.2
# via
# pydantic
# pydantic-settings
-tzdata==2025.2
- # via
- # arrow
- # pandas
+tzdata==2025.3
+ # via arrow
undetected-chromedriver==3.5.5
# via -r requirements.in
uri-template==1.3.0
# via jsonschema
-urllib3[socks]==2.5.0
+uritemplate==4.2.0
+ # via google-api-python-client
+urllib3[socks]==2.6.3
# via
- # botocore
- # distributed
# requests
# selenium
- # types-requests
-uvicorn[standard]==0.38.0
+uuid-utils==0.14.1
+ # via
+ # langchain-core
+ # langsmith
+uvicorn[standard]==0.41.0
# via
# -r requirements.in
# python-fasthtml
uvloop==0.22.1
# via uvicorn
-validators==0.35.0
- # via langchain-google-vertexai
vulture==2.14
# via -r requirements.in
watchdog==6.0.0
# via -r requirements.in
watchfiles==1.1.1
# via uvicorn
-wcwidth==0.2.14
+wcwidth==0.6.0
# via prompt-toolkit
-webcolors==24.11.1
+webcolors==25.10.0
# via jsonschema
webdriver-manager==4.0.2
# via -r requirements.in
@@ -1115,28 +850,28 @@ websockets==15.0.1
# google-genai
# undetected-chromedriver
# uvicorn
-wheel==0.45.1
+wheel==0.46.3
# via
# astunparse
# pip-tools
-widgetsnbextension==4.0.14
+widgetsnbextension==4.0.15
# via ipywidgets
wordninja==2.0.0
# via -r requirements.in
-wsproto==1.2.0
+wsproto==1.3.2
# via
# selenium-wire
# trio-websocket
xlsxwriter==3.2.9
# via -r requirements.in
+xxhash==3.6.0
+ # via
+ # langgraph
+ # langsmith
yapf==0.43.0
# via -r requirements.in
yarl==1.22.0
# via aiohttp
-zict==3.0.0
- # via distributed
-zipp==3.23.0
- # via importlib-metadata
zstandard==0.25.0
# via
# langsmith
(nix)
[mike@nixos:~/repos/pipulate]$ git commit -am "Adding llm"
[main 7385701e] Adding llm
1 file changed, 213 insertions(+), 478 deletions(-)
(nix)
[mike@nixos:~/repos/pipulate]$ git push
Enumerating objects: 5, done.
Counting objects: 100% (5/5), done.
Delta compression using up to 48 threads
Compressing objects: 100% (3/3), done.
Writing objects: 100% (3/3), 2.45 KiB | 2.45 MiB/s, done.
Total 3 (delta 2), reused 0 (delta 0), pack-reused 0 (from 0)
remote: Resolving deltas: 100% (2/2), completed with 2 local objects.
To github.com:miklevin/pipulate
50068c52..7385701e main -> main
(nix)
[mike@nixos:~/repos/pipulate]$ pip install -r requirements.txt
Requirement already satisfied: aiohappyeyeballs==2.6.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 7)) (2.6.1)
Collecting aiohttp==3.13.3 (from -r requirements.txt (line 9))
Downloading aiohttp-3.13.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (8.1 kB)
Requirement already satisfied: aiosignal==1.4.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 13)) (1.4.0)
Requirement already satisfied: annotated-types==0.7.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 15)) (0.7.0)
Collecting anyio==4.12.1 (from -r requirements.txt (line 17))
Downloading anyio-4.12.1-py3-none-any.whl.metadata (4.3 kB)
Requirement already satisfied: apsw==[REDACTED_IP] in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 25)) ([REDACTED_IP])
Collecting apswutils==0.1.2 (from -r requirements.txt (line 29))
Downloading apswutils-0.1.2-py3-none-any.whl.metadata (9.1 kB)
Requirement already satisfied: argon2-cffi==25.1.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 31)) (25.1.0)
Requirement already satisfied: argon2-cffi-bindings==25.1.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 33)) (25.1.0)
Requirement already satisfied: arrow==1.4.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 35)) (1.4.0)
Collecting astroid==4.0.4 (from -r requirements.txt (line 37))
Downloading astroid-4.0.4-py3-none-any.whl.metadata (4.4 kB)
Collecting asttokens==3.0.1 (from -r requirements.txt (line 39))
Downloading asttokens-3.0.1-py3-none-any.whl.metadata (4.9 kB)
Requirement already satisfied: astunparse==1.6.3 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 41)) (1.6.3)
Collecting async-lru==2.2.0 (from -r requirements.txt (line 43))
Downloading async_lru-2.2.0-py3-none-any.whl.metadata (7.2 kB)
Requirement already satisfied: attrs==25.4.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 45)) (25.4.0)
Collecting babel==2.18.0 (from -r requirements.txt (line 52))
Downloading babel-2.18.0-py3-none-any.whl.metadata (2.2 kB)
Collecting beautifulsoup4==4.14.3 (from -r requirements.txt (line 54))
Downloading beautifulsoup4-4.14.3-py3-none-any.whl.metadata (3.8 kB)
Requirement already satisfied: bleach==6.3.0 in ./.venv/lib/python3.12/site-packages (from bleach[css]==6.3.0->-r requirements.txt (line 60)) (6.3.0)
Requirement already satisfied: blinker==1.6.2 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 62)) (1.6.2)
Collecting brotli==1.2.0 (from -r requirements.txt (line 66))
Downloading brotli-1.2.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (6.1 kB)
Collecting build==1.4.0 (from -r requirements.txt (line 68))
Using cached build-1.4.0-py3-none-any.whl.metadata (5.8 kB)
Collecting certifi==2026.1.4 (from -r requirements.txt (line 70))
Using cached certifi-2026.1.4-py3-none-any.whl.metadata (2.5 kB)
Requirement already satisfied: cffi==2.0.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 77)) (2.0.0)
Requirement already satisfied: charset-normalizer==3.4.4 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 81)) (3.4.4)
Collecting click==8.3.1 (from -r requirements.txt (line 83))
Using cached click-8.3.1-py3-none-any.whl.metadata (2.6 kB)
Collecting click-default-group==1.2.4 (from -r requirements.txt (line 91))
Using cached click_default_group-1.2.4-py2.py3-none-any.whl.metadata (2.8 kB)
Requirement already satisfied: comm==0.2.3 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 95)) (0.2.3)
Collecting condense-json==0.1.3 (from -r requirements.txt (line 99))
Using cached condense_json-0.1.3-py3-none-any.whl.metadata (4.4 kB)
Requirement already satisfied: contourpy==1.3.3 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 101)) (1.3.3)
Collecting cryptography==46.0.5 (from -r requirements.txt (line 103))
Using cached cryptography-46.0.5-cp311-abi3-manylinux_2_34_x86_64.whl.metadata (5.7 kB)
Requirement already satisfied: cycler==0.12.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 107)) (0.12.1)
Requirement already satisfied: dataclasses-json==0.6.7 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 109)) (0.6.7)
Collecting debugpy==1.8.20 (from -r requirements.txt (line 111))
Downloading debugpy-1.8.20-cp312-cp312-manylinux_2_34_x86_64.whl.metadata (1.4 kB)
Requirement already satisfied: decorator==5.2.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 113)) (5.2.1)
Requirement already satisfied: defusedxml==0.7.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 117)) (0.7.1)
Collecting dill==0.4.1 (from -r requirements.txt (line 119))
Downloading dill-0.4.1-py3-none-any.whl.metadata (10 kB)
Requirement already satisfied: distro==1.9.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 121)) (1.9.0)
Requirement already satisfied: et-xmlfile==2.0.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 125)) (2.0.0)
Requirement already satisfied: executing==2.2.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 127)) (2.2.1)
Collecting fastcore==1.12.16 (from -r requirements.txt (line 129))
Downloading fastcore-1.12.16-py3-none-any.whl.metadata (3.4 kB)
Requirement already satisfied: fastjsonschema==2.21.2 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 134)) (2.21.2)
Collecting fastlite==0.2.4 (from -r requirements.txt (line 136))
Downloading fastlite-0.2.4-py3-none-any.whl.metadata (12 kB)
Collecting filelock==3.24.3 (from -r requirements.txt (line 138))
Downloading filelock-3.24.3-py3-none-any.whl.metadata (2.0 kB)
Requirement already satisfied: filetype==1.2.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 140)) (1.2.0)
Collecting flatbuffers==25.12.19 (from -r requirements.txt (line 142))
Downloading flatbuffers-25.12.19-py2.py3-none-any.whl.metadata (1.0 kB)
Collecting fonttools==4.61.1 (from -r requirements.txt (line 144))
Downloading fonttools-4.61.1-cp312-cp312-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl.metadata (114 kB)
Requirement already satisfied: fqdn==1.5.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 146)) (1.5.1)
Requirement already satisfied: frozenlist==1.8.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 148)) (1.8.0)
Collecting google-ai-generativelanguage==0.6.15 (from -r requirements.txt (line 152))
Using cached google_ai_generativelanguage-0.6.15-py3-none-any.whl.metadata (5.7 kB)
Collecting google-api-core==2.30.0 (from google-api-core[grpc]==2.30.0->-r requirements.txt (line 154))
Downloading google_api_core-2.30.0-py3-none-any.whl.metadata (3.1 kB)
Collecting google-api-python-client==2.190.0 (from -r requirements.txt (line 159))
Downloading google_api_python_client-2.190.0-py3-none-any.whl.metadata (7.0 kB)
Collecting google-auth==2.49.0.dev0 (from google-auth[requests]==2.49.0.dev0->-r requirements.txt (line 163))
Downloading google_auth-2.49.0.dev0-py3-none-any.whl.metadata (6.0 kB)
Collecting google-auth-httplib2==0.3.0 (from -r requirements.txt (line 171))
Downloading google_auth_httplib2-0.3.0-py3-none-any.whl.metadata (3.1 kB)
Collecting google-genai==1.64.0 (from -r requirements.txt (line 173))
Downloading google_genai-1.64.0-py3-none-any.whl.metadata (53 kB)
Collecting google-generativeai==0.8.6 (from -r requirements.txt (line 175))
Downloading google_generativeai-0.8.6-py3-none-any.whl.metadata (3.9 kB)
Collecting googleapis-common-protos==1.72.0 (from -r requirements.txt (line 177))
Downloading googleapis_common_protos-1.72.0-py3-none-any.whl.metadata (9.4 kB)
Collecting greenlet==3.3.2 (from -r requirements.txt (line 181))
Downloading greenlet-3.3.2-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (3.7 kB)
Requirement already satisfied: grpcio==1.60.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 183)) (1.60.1)
Requirement already satisfied: grpcio-status==1.60.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 188)) (1.60.1)
Requirement already satisfied: h11==0.16.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 190)) (0.16.0)
Requirement already satisfied: h2==4.3.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 195)) (4.3.0)
Requirement already satisfied: hpack==4.1.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 197)) (4.1.0)
Requirement already satisfied: httpcore==1.0.9 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 199)) (1.0.9)
Collecting httplib2==0.31.2 (from -r requirements.txt (line 201))
Downloading httplib2-0.31.2-py3-none-any.whl.metadata (2.2 kB)
Requirement already satisfied: httptools==0.7.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 205)) (0.7.1)
Requirement already satisfied: httpx==0.28.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 207)) (0.28.1)
Collecting httpx-sse==0.4.3 (from -r requirements.txt (line 215))
Downloading httpx_sse-0.4.3-py3-none-any.whl.metadata (9.7 kB)
Requirement already satisfied: hyperframe==6.1.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 217)) (6.1.0)
Requirement already satisfied: idna==3.11 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 221)) (3.11)
Collecting imageio==2.37.2 (from -r requirements.txt (line 230))
Downloading imageio-2.37.2-py3-none-any.whl.metadata (9.7 kB)
Requirement already satisfied: imageio-ffmpeg==0.6.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 232)) (0.6.0)
Collecting ipykernel==7.2.0 (from -r requirements.txt (line 234))
Downloading ipykernel-7.2.0-py3-none-any.whl.metadata (4.5 kB)
Collecting ipython==9.10.0 (from -r requirements.txt (line 236))
Downloading ipython-9.10.0-py3-none-any.whl.metadata (4.6 kB)
Requirement already satisfied: ipython-pygments-lexers==1.1.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 240)) (1.1.1)
Collecting ipywidgets==8.1.8 (from -r requirements.txt (line 242))
Downloading ipywidgets-8.1.8-py3-none-any.whl.metadata (2.4 kB)
Requirement already satisfied: isoduration==20.11.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 244)) (20.11.0)
Collecting isort==8.0.0 (from -r requirements.txt (line 246))
Downloading isort-8.0.0-py3-none-any.whl.metadata (11 kB)
Collecting itables==2.7.0 (from -r requirements.txt (line 250))
Downloading itables-2.7.0-py3-none-any.whl.metadata (12 kB)
Requirement already satisfied: itsdangerous==2.2.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 252)) (2.2.0)
Requirement already satisfied: jedi==0.19.2 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 254)) (0.19.2)
Requirement already satisfied: jinja2==3.1.6 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 256)) (3.1.6)
Collecting jiter==0.13.0 (from -r requirements.txt (line 262))
Downloading jiter-0.13.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.2 kB)
Collecting joblib==1.5.3 (from -r requirements.txt (line 264))
Downloading joblib-1.5.3-py3-none-any.whl.metadata (5.5 kB)
Collecting json5==0.13.0 (from -r requirements.txt (line 268))
Downloading json5-0.13.0-py3-none-any.whl.metadata (36 kB)
Requirement already satisfied: jsonpatch==1.33 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 270)) (1.33)
Requirement already satisfied: jsonpointer==3.0.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 272)) (3.0.0)
Collecting jsonschema==4.26.0 (from jsonschema[format-nongpl]==4.26.0->-r requirements.txt (line 276))
Downloading jsonschema-4.26.0-py3-none-any.whl.metadata (7.6 kB)
Requirement already satisfied: jsonschema-specifications==2025.9.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 281)) (2025.9.1)
Collecting jupyter-client==8.8.0 (from -r requirements.txt (line 283))
Downloading jupyter_client-8.8.0-py3-none-any.whl.metadata (8.4 kB)
Requirement already satisfied: jupyter-core==5.9.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 288)) (5.9.1)
Requirement already satisfied: jupyter-events==0.12.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 297)) (0.12.0)
Requirement already satisfied: jupyter-lsp==2.3.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 299)) (2.3.0)
Requirement already satisfied: jupyter-server==2.17.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 301)) (2.17.0)
Collecting jupyter-server-terminals==0.5.4 (from -r requirements.txt (line 307))
Downloading jupyter_server_terminals-0.5.4-py3-none-any.whl.metadata (5.9 kB)
Collecting jupyterlab==4.5.5 (from -r requirements.txt (line 309))
Downloading jupyterlab-4.5.5-py3-none-any.whl.metadata (16 kB)
Requirement already satisfied: jupyterlab-pygments==0.3.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 311)) (0.3.0)
Requirement already satisfied: jupyterlab-server==2.28.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 313)) (2.28.0)
Collecting jupyterlab-widgets==3.0.16 (from -r requirements.txt (line 315))
Downloading jupyterlab_widgets-3.0.16-py3-none-any.whl.metadata (20 kB)
Collecting jupytext==1.19.1 (from -r requirements.txt (line 317))
Downloading jupytext-1.19.1-py3-none-any.whl.metadata (15 kB)
Requirement already satisfied: kaitaistruct==0.11 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 319)) (0.11)
Requirement already satisfied: kiwisolver==1.4.9 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 321)) (1.4.9)
Collecting langchain==1.2.10 (from -r requirements.txt (line 323))
Downloading langchain-1.2.10-py3-none-any.whl.metadata (5.7 kB)
Collecting langchain-classic==1.0.1 (from -r requirements.txt (line 325))
Downloading langchain_classic-1.0.1-py3-none-any.whl.metadata (4.2 kB)
Collecting langchain-community==0.4.1 (from -r requirements.txt (line 327))
Downloading langchain_community-0.4.1-py3-none-any.whl.metadata (3.0 kB)
Collecting langchain-core==1.2.15 (from -r requirements.txt (line 329))
Downloading langchain_core-1.2.15-py3-none-any.whl.metadata (4.4 kB)
Collecting langchain-google-genai==4.2.1 (from -r requirements.txt (line 340))
Downloading langchain_google_genai-4.2.1-py3-none-any.whl.metadata (2.7 kB)
Collecting langchain-openai==1.1.10 (from -r requirements.txt (line 342))
Downloading langchain_openai-1.1.10-py3-none-any.whl.metadata (3.1 kB)
Collecting langchain-text-splitters==1.1.1 (from -r requirements.txt (line 344))
Downloading langchain_text_splitters-1.1.1-py3-none-any.whl.metadata (3.3 kB)
Collecting langgraph==1.0.9 (from -r requirements.txt (line 346))
Downloading langgraph-1.0.9-py3-none-any.whl.metadata (7.4 kB)
Collecting langgraph-checkpoint==4.0.0 (from -r requirements.txt (line 348))
Downloading langgraph_checkpoint-4.0.0-py3-none-any.whl.metadata (4.9 kB)
Collecting langgraph-prebuilt==1.0.8 (from -r requirements.txt (line 352))
Downloading langgraph_prebuilt-1.0.8-py3-none-any.whl.metadata (5.2 kB)
Collecting langgraph-sdk==0.3.8 (from -r requirements.txt (line 354))
Downloading langgraph_sdk-0.3.8-py3-none-any.whl.metadata (1.6 kB)
Collecting langsmith==0.7.6 (from -r requirements.txt (line 356))
Downloading langsmith-0.7.6-py3-none-any.whl.metadata (15 kB)
Requirement already satisfied: lark==1.3.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 361)) (1.3.1)
Collecting llm==0.28 (from -r requirements.txt (line 363))
Using cached llm-0.28-py3-none-any.whl.metadata (29 kB)
Requirement already satisfied: loguru==0.7.3 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 365)) (0.7.3)
Requirement already satisfied: lxml==6.0.2 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 367)) (6.0.2)
Requirement already satisfied: markdown-it-py==4.0.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 369)) (4.0.0)
Collecting markdownify==1.2.2 (from -r requirements.txt (line 374))
Downloading markdownify-1.2.2-py3-none-any.whl.metadata (9.9 kB)
Requirement already satisfied: markupsafe==3.0.3 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 376)) (3.0.3)
Collecting marshmallow==3.26.2 (from -r requirements.txt (line 380))
Downloading marshmallow-3.26.2-py3-none-any.whl.metadata (7.3 kB)
Collecting matplotlib==3.10.8 (from -r requirements.txt (line 382))
Downloading matplotlib-3.10.8-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (52 kB)
Requirement already satisfied: matplotlib-inline==0.2.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 384)) (0.2.1)
Requirement already satisfied: mccabe==0.7.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 388)) (0.7.0)
Requirement already satisfied: mdit-py-plugins==0.5.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 390)) (0.5.0)
Requirement already satisfied: mdurl==0.1.2 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 392)) (0.1.2)
Collecting mistune==3.2.0 (from -r requirements.txt (line 394))
Downloading mistune-3.2.0-py3-none-any.whl.metadata (1.9 kB)
Requirement already satisfied: moviepy==2.2.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 396)) (2.2.1)
Requirement already satisfied: mpmath==1.3.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 398)) (1.3.0)
Collecting multidict==6.7.1 (from -r requirements.txt (line 400))
Downloading multidict-6.7.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (5.3 kB)
Requirement already satisfied: mypy-extensions==1.1.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 404)) (1.1.0)
Collecting nbclient==0.10.4 (from -r requirements.txt (line 406))
Downloading nbclient-0.10.4-py3-none-any.whl.metadata (8.3 kB)
Collecting nbconvert==7.17.0 (from -r requirements.txt (line 408))
Downloading nbconvert-7.17.0-py3-none-any.whl.metadata (8.4 kB)
Requirement already satisfied: nbformat==5.10.4 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 410)) (5.10.4)
Collecting nbstripout==0.9.1 (from -r requirements.txt (line 417))
Downloading nbstripout-0.9.1-py3-none-any.whl.metadata (25 kB)
Requirement already satisfied: nest-asyncio==1.6.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 419)) (1.6.0)
Collecting nltk==3.9.3 (from -r requirements.txt (line 421))
Downloading nltk-3.9.3-py3-none-any.whl.metadata (3.2 kB)
Requirement already satisfied: notebook-shim==0.2.4 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 423)) (0.2.4)
Collecting numpy==2.4.2 (from -r requirements.txt (line 425))
Downloading numpy-2.4.2-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (6.6 kB)
Requirement already satisfied: oauthlib==3.3.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 437)) (3.3.1)
Collecting onnxruntime==1.24.2 (from -r requirements.txt (line 439))
Downloading onnxruntime-1.24.2-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (5.0 kB)
Collecting openai==2.23.0 (from -r requirements.txt (line 443))
Downloading openai-2.23.0-py3-none-any.whl.metadata (29 kB)
Requirement already satisfied: openpyxl==3.1.5 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 447)) (3.1.5)
Collecting orjson==3.11.7 (from -r requirements.txt (line 449))
Downloading orjson-3.11.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (41 kB)
Collecting ormsgpack==1.12.2 (from -r requirements.txt (line 453))
Downloading ormsgpack-1.12.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.2 kB)
Requirement already satisfied: outcome==1.3.0.post0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 455)) (1.3.0.post0)
Collecting packaging==26.0 (from -r requirements.txt (line 459))
Using cached packaging-26.0-py3-none-any.whl.metadata (3.3 kB)
Collecting pandas==3.0.1 (from -r requirements.txt (line 476))
Downloading pandas-3.0.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (79 kB)
Requirement already satisfied: pandocfilters==1.5.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 478)) (1.5.1)
Collecting parso==0.8.6 (from -r requirements.txt (line 480))
Downloading parso-0.8.6-py2.py3-none-any.whl.metadata (8.4 kB)
Requirement already satisfied: pexpect==4.9.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 482)) (4.9.0)
Requirement already satisfied: pillow==11.3.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 484)) (11.3.0)
Requirement already satisfied: pip-tools==7.5.3 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 489)) (7.5.3)
Collecting piper-tts==1.4.1 (from -r requirements.txt (line 491))
Downloading piper_tts-1.4.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl.metadata (2.3 kB)
Collecting platformdirs==4.9.2 (from -r requirements.txt (line 493))
Downloading platformdirs-4.9.2-py3-none-any.whl.metadata (4.7 kB)
Collecting pluggy==1.6.0 (from -r requirements.txt (line 498))
Using cached pluggy-1.6.0-py3-none-any.whl.metadata (4.8 kB)
Requirement already satisfied: proglog==0.1.12 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 502)) (0.1.12)
Collecting prometheus-client==0.24.1 (from -r requirements.txt (line 504))
Downloading prometheus_client-0.24.1-py3-none-any.whl.metadata (2.1 kB)
Requirement already satisfied: prompt-toolkit==3.0.52 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 506)) (3.0.52)
Requirement already satisfied: propcache==0.4.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 508)) (0.4.1)
Collecting proto-plus==1.27.1 (from -r requirements.txt (line 512))
Downloading proto_plus-1.27.1-py3-none-any.whl.metadata (2.2 kB)
Collecting protobuf==5.29.6 (from -r requirements.txt (line 516))
Downloading protobuf-5.29.6-cp38-abi3-manylinux2014_x86_64.whl.metadata (592 bytes)
Collecting psutil==7.2.2 (from -r requirements.txt (line 525))
Downloading psutil-7.2.2-cp36-abi3-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl.metadata (22 kB)
Requirement already satisfied: ptyprocess==0.7.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 527)) (0.7.0)
Requirement already satisfied: pure-eval==0.2.3 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 531)) (0.2.3)
Collecting puremagic==2.0.0 (from -r requirements.txt (line 533))
Using cached puremagic-2.0.0-py3-none-any.whl.metadata (7.3 kB)
Collecting pyasn1==0.6.2 (from -r requirements.txt (line 535))
Downloading pyasn1-0.6.2-py3-none-any.whl.metadata (8.4 kB)
Requirement already satisfied: pyasn1-modules==0.4.2 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 540)) (0.4.2)
Collecting pycparser==3.0 (from -r requirements.txt (line 542))
Using cached pycparser-3.0-py3-none-any.whl.metadata (8.2 kB)
Collecting pydantic==2.12.5 (from -r requirements.txt (line 544))
Downloading pydantic-2.12.5-py3-none-any.whl.metadata (90 kB)
Collecting pydantic-core==2.41.5 (from -r requirements.txt (line 558))
Downloading pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.3 kB)
Collecting pydantic-settings==2.13.1 (from -r requirements.txt (line 560))
Downloading pydantic_settings-2.13.1-py3-none-any.whl.metadata (3.4 kB)
Requirement already satisfied: pydot==4.0.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 562)) (4.0.1)
Requirement already satisfied: pyfiglet==1.0.4 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 564)) (1.0.4)
Requirement already satisfied: pygments==2.19.2 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 566)) (2.19.2)
Collecting pylint==4.0.5 (from -r requirements.txt (line 572))
Downloading pylint-4.0.5-py3-none-any.whl.metadata (12 kB)
Requirement already satisfied: pyopenssl==25.3.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 574)) (25.3.0)
Collecting pyparsing==3.3.2 (from -r requirements.txt (line 576))
Using cached pyparsing-3.3.2-py3-none-any.whl.metadata (5.8 kB)
Requirement already satisfied: pyproject-hooks==1.2.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 582)) (1.2.0)
Requirement already satisfied: pysocks==1.7.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 586)) (1.7.1)
Requirement already satisfied: python-dateutil==2.9.0.post0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 590)) (2.9.0.post0)
Requirement already satisfied: python-dotenv==1.2.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 598)) (1.2.1)
Collecting python-fasthtml==0.12.47 (from -r requirements.txt (line 605))
Downloading python_fasthtml-0.12.47-py3-none-any.whl.metadata (9.0 kB)
Collecting python-frontmatter==1.1.0 (from -r requirements.txt (line 607))
Using cached python_frontmatter-1.1.0-py3-none-any.whl.metadata (4.1 kB)
Requirement already satisfied: python-json-logger==4.0.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 609)) (4.0.0)
Collecting python-multipart==0.0.22 (from -r requirements.txt (line 611))
Downloading python_multipart-0.0.22-py3-none-any.whl.metadata (1.8 kB)
Collecting python-ulid==3.1.0 (from -r requirements.txt (line 613))
Using cached python_ulid-3.1.0-py3-none-any.whl.metadata (5.8 kB)
Requirement already satisfied: pyyaml==6.0.3 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 615)) (6.0.3)
Requirement already satisfied: pyzmq==27.1.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 625)) (27.1.0)
Requirement already satisfied: referencing==0.37.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 630)) (0.37.0)
Collecting regex==2026.2.19 (from -r requirements.txt (line 635))
Downloading regex-2026.2.19-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (40 kB)
Requirement already satisfied: requests==2.32.5 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 639)) (2.32.5)
Requirement already satisfied: requests-file==3.0.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 655)) (3.0.1)
Requirement already satisfied: requests-toolbelt==1.0.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 657)) (1.0.0)
Requirement already satisfied: rfc3339-validator==0.1.4 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 661)) (0.1.4)
Requirement already satisfied: rfc3986-validator==0.1.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 665)) (0.1.1)
Requirement already satisfied: rfc3987-syntax==1.1.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 669)) (1.1.0)
Collecting rich==14.3.3 (from -r requirements.txt (line 671))
Using cached rich-14.3.3-py3-none-any.whl.metadata (18 kB)
Collecting rpds-py==0.30.0 (from -r requirements.txt (line 673))
Downloading rpds_py-0.30.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.1 kB)
Collecting scikit-learn==1.8.0 (from -r requirements.txt (line 677))
Downloading scikit_learn-1.8.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (11 kB)
Collecting scipy==1.17.1 (from -r requirements.txt (line 679))
Downloading scipy-1.17.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (62 kB)
Collecting selenium==4.41.0 (from -r requirements.txt (line 681))
Downloading selenium-4.41.0-py3-none-any.whl.metadata (7.5 kB)
Requirement already satisfied: selenium-stealth==1.0.6 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 687)) (1.0.6)
Requirement already satisfied: selenium-wire==5.1.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 689)) (5.1.0)
Collecting send2trash==2.1.0 (from -r requirements.txt (line 691))
Downloading send2trash-2.1.0-py3-none-any.whl.metadata (4.1 kB)
Requirement already satisfied: six==1.17.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 693)) (1.17.0)
Requirement already satisfied: sniffio==1.3.1 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 699)) (1.3.1)
Requirement already satisfied: sortedcontainers==2.4.0 in ./.venv/lib/python3.12/site-packages (from -r requirements.txt (line 704)) (2.4.0)
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Installing collected packages: sqlite-fts4, flatbuffers, brotli, xxhash, wsproto, widgetsnbextension, webcolors, wcwidth, uuid-utils, urllib3, uritemplate, tzdata, tqdm, tornado, tomlkit, tenacity, soupsieve, send2trash, rpds-py, regex, python-ulid, python-multipart, python-frontmatter, pyparsing, pydantic-core, pycparser, pyasn1, puremagic, psutil, protobuf, prometheus-client, pluggy, platformdirs, parso, packaging, ormsgpack, orjson, numpy, multidict, mistune, jupyterlab-widgets, json5, joblib, jiter, itables, isort, httpx-sse, greenlet, fonttools, filelock, fastcore, dill, debugpy, condense-json, click, certifi, babel, async-lru, asttokens, astroid, anyio, wheel, uvicorn, trio, starlette, sqlalchemy, scipy, rich, pylint, pydantic, proto-plus, pandas, onnxruntime, nltk, marshmallow, imageio, httplib2, googleapis-common-protos, click-default-group, build, beautifulsoup4, apswutils, sqlite-utils, scikit-learn, pydantic-settings, piper-tts, matplotlib, markdownify, jupyter-server-terminals, jupyter-client, ipython, fastlite, cryptography, aiohttp, tldextract, sqlite-migrate, selenium, python-fasthtml, openai, langsmith, langgraph-sdk, jsonschema, ipywidgets, ipykernel, google-auth, llm, langchain-core, google-auth-httplib2, google-api-core, nbstripout, nbclient, langgraph-checkpoint, langchain-text-splitters, langchain-openai, jupytext, google-genai, google-api-python-client, nbconvert, langgraph-prebuilt, langchain-google-genai, langchain-classic, google-ai-generativelanguage, langgraph, langchain-community, google-generativeai, langchain, jupyterlab
Attempting uninstall: flatbuffers
Found existing installation: flatbuffers 25.9.23
Uninstalling flatbuffers-25.9.23:
Successfully uninstalled flatbuffers-25.9.23
Attempting uninstall: brotli
Found existing installation: Brotli 1.1.0
Uninstalling Brotli-1.1.0:
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Attempting uninstall: wsproto
Found existing installation: wsproto 1.2.0
Uninstalling wsproto-1.2.0:
Successfully uninstalled wsproto-1.2.0
Attempting uninstall: widgetsnbextension
Found existing installation: widgetsnbextension 4.0.14
Uninstalling widgetsnbextension-4.0.14:
Successfully uninstalled widgetsnbextension-4.0.14
Attempting uninstall: webcolors
Found existing installation: webcolors 24.11.1
Uninstalling webcolors-24.11.1:
Successfully uninstalled webcolors-24.11.1
Attempting uninstall: wcwidth
Found existing installation: wcwidth 0.2.14
Uninstalling wcwidth-0.2.14:
Successfully uninstalled wcwidth-0.2.14
Attempting uninstall: urllib3
Found existing installation: urllib3 2.5.0
Uninstalling urllib3-2.5.0:
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Attempting uninstall: tzdata
Found existing installation: tzdata 2025.2
Uninstalling tzdata-2025.2:
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Attempting uninstall: tqdm
Found existing installation: tqdm 4.67.1
Uninstalling tqdm-4.67.1:
Successfully uninstalled tqdm-4.67.1
Attempting uninstall: tornado
Found existing installation: tornado 6.5.2
Uninstalling tornado-6.5.2:
Successfully uninstalled tornado-6.5.2
Attempting uninstall: tomlkit
Found existing installation: tomlkit 0.13.3
Uninstalling tomlkit-0.13.3:
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Attempting uninstall: tenacity
Found existing installation: tenacity 8.5.0
Uninstalling tenacity-8.5.0:
Successfully uninstalled tenacity-8.5.0
Attempting uninstall: soupsieve
Found existing installation: soupsieve 2.8
Uninstalling soupsieve-2.8:
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Attempting uninstall: send2trash
Found existing installation: Send2Trash 1.8.3
Uninstalling Send2Trash-1.8.3:
Successfully uninstalled Send2Trash-1.8.3
Attempting uninstall: rpds-py
Found existing installation: rpds-py 0.28.0
Uninstalling rpds-py-0.28.0:
Successfully uninstalled rpds-py-0.28.0
Attempting uninstall: regex
Found existing installation: regex 2025.10.23
Uninstalling regex-2025.10.23:
Successfully uninstalled regex-2025.10.23
Attempting uninstall: python-multipart
Found existing installation: python-multipart 0.0.20
Uninstalling python-multipart-0.0.20:
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Attempting uninstall: pyparsing
Found existing installation: pyparsing 3.2.5
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Attempting uninstall: pydantic-core
Found existing installation: pydantic_core 2.41.4
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Attempting uninstall: pycparser
Found existing installation: pycparser 2.23
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Attempting uninstall: pyasn1
Found existing installation: pyasn1 0.6.1
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Attempting uninstall: psutil
Found existing installation: psutil 7.1.2
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Attempting uninstall: protobuf
Found existing installation: protobuf 4.25.8
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Attempting uninstall: prometheus-client
Found existing installation: prometheus_client 0.23.1
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Attempting uninstall: platformdirs
Found existing installation: platformdirs 4.5.0
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Attempting uninstall: parso
Found existing installation: parso 0.8.5
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Attempting uninstall: packaging
Found existing installation: packaging 25.0
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Attempting uninstall: orjson
Found existing installation: orjson 3.11.4
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Attempting uninstall: numpy
Found existing installation: numpy 2.3.4
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Attempting uninstall: multidict
Found existing installation: multidict 6.7.0
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Attempting uninstall: mistune
Found existing installation: mistune 3.1.4
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Attempting uninstall: jupyterlab-widgets
Found existing installation: jupyterlab_widgets 3.0.15
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Successfully uninstalled jupyterlab_widgets-3.0.15
Attempting uninstall: json5
Found existing installation: json5 0.12.1
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Attempting uninstall: joblib
Found existing installation: joblib 1.5.2
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Attempting uninstall: jiter
Found existing installation: jiter 0.11.1
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Attempting uninstall: itables
Found existing installation: itables 2.5.2
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Attempting uninstall: isort
Found existing installation: isort 7.0.0
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Attempting uninstall: httpx-sse
Found existing installation: httpx-sse 0.4.0
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Attempting uninstall: greenlet
Found existing installation: greenlet 3.2.4
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Attempting uninstall: fonttools
Found existing installation: fonttools 4.60.1
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Attempting uninstall: filelock
Found existing installation: filelock 3.20.0
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Attempting uninstall: fastcore
Found existing installation: fastcore 1.8.14
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Attempting uninstall: dill
Found existing installation: dill 0.4.0
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Attempting uninstall: debugpy
Found existing installation: debugpy 1.8.17
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Attempting uninstall: click
Found existing installation: click 8.3.0
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Attempting uninstall: certifi
Found existing installation: certifi 2025.10.5
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Attempting uninstall: babel
Found existing installation: babel 2.17.0
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Attempting uninstall: async-lru
Found existing installation: async-lru 2.0.5
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Attempting uninstall: asttokens
Found existing installation: asttokens 3.0.0
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Attempting uninstall: astroid
Found existing installation: astroid 4.0.1
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Attempting uninstall: anyio
Found existing installation: anyio 4.11.0
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Attempting uninstall: wheel
Found existing installation: wheel 0.45.1
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Successfully uninstalled wheel-0.45.1
Attempting uninstall: uvicorn
Found existing installation: uvicorn 0.38.0
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Attempting uninstall: trio
Found existing installation: trio 0.31.0
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Successfully uninstalled trio-0.31.0
Attempting uninstall: starlette
Found existing installation: starlette 0.49.1
Uninstalling starlette-0.49.1:
Successfully uninstalled starlette-0.49.1
Attempting uninstall: sqlalchemy
Found existing installation: SQLAlchemy 2.0.44
Uninstalling SQLAlchemy-2.0.44:
Successfully uninstalled SQLAlchemy-2.0.44
Attempting uninstall: scipy
Found existing installation: scipy 1.16.3
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Attempting uninstall: rich
Found existing installation: rich 14.2.0
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Attempting uninstall: pylint
Found existing installation: pylint 4.0.2
Uninstalling pylint-4.0.2:
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Attempting uninstall: pydantic
Found existing installation: pydantic 2.12.3
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Attempting uninstall: proto-plus
Found existing installation: proto-plus 1.26.1
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Attempting uninstall: pandas
Found existing installation: pandas 2.3.3
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Attempting uninstall: onnxruntime
Found existing installation: onnxruntime 1.23.2
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Attempting uninstall: nltk
Found existing installation: nltk 3.9.2
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Attempting uninstall: marshmallow
Found existing installation: marshmallow 3.26.1
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Attempting uninstall: imageio
Found existing installation: imageio 2.37.0
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Attempting uninstall: googleapis-common-protos
Found existing installation: googleapis-common-protos 1.71.0
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Attempting uninstall: build
Found existing installation: build 1.3.0
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Attempting uninstall: beautifulsoup4
Found existing installation: beautifulsoup4 4.14.2
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Attempting uninstall: apswutils
Found existing installation: apswutils 0.1.0
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Attempting uninstall: scikit-learn
Found existing installation: scikit-learn 1.7.2
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Attempting uninstall: pydantic-settings
Found existing installation: pydantic-settings 2.11.0
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Attempting uninstall: piper-tts
Found existing installation: piper-tts 1.3.0
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Attempting uninstall: matplotlib
Found existing installation: matplotlib 3.10.7
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Attempting uninstall: markdownify
Found existing installation: markdownify 1.2.0
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Successfully uninstalled markdownify-1.2.0
Attempting uninstall: jupyter-server-terminals
Found existing installation: jupyter_server_terminals 0.5.3
Uninstalling jupyter_server_terminals-0.5.3:
Successfully uninstalled jupyter_server_terminals-0.5.3
Attempting uninstall: jupyter-client
Found existing installation: jupyter_client 8.6.3
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Successfully uninstalled jupyter_client-8.6.3
Attempting uninstall: ipython
Found existing installation: ipython 9.6.0
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Attempting uninstall: fastlite
Found existing installation: fastlite 0.2.1
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Successfully uninstalled fastlite-0.2.1
Attempting uninstall: cryptography
Found existing installation: cryptography 46.0.3
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Attempting uninstall: aiohttp
Found existing installation: aiohttp 3.13.2
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Attempting uninstall: tldextract
Found existing installation: tldextract 5.3.0
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Attempting uninstall: selenium
Found existing installation: selenium 4.38.0
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Attempting uninstall: python-fasthtml
Found existing installation: python-fasthtml 0.12.33
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Attempting uninstall: openai
Found existing installation: openai 2.6.1
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Attempting uninstall: langsmith
Found existing installation: langsmith 0.4.38
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Attempting uninstall: jsonschema
Found existing installation: jsonschema 4.25.1
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Attempting uninstall: ipywidgets
Found existing installation: ipywidgets 8.1.7
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Attempting uninstall: ipykernel
Found existing installation: ipykernel 7.1.0
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Attempting uninstall: google-auth
Found existing installation: google-auth 2.42.1
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Attempting uninstall: langchain-core
Found existing installation: langchain-core 0.3.79
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Attempting uninstall: google-api-core
Found existing installation: google-api-core 2.28.1
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Attempting uninstall: nbstripout
Found existing installation: nbstripout 0.8.1
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Attempting uninstall: nbclient
Found existing installation: nbclient 0.10.2
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Attempting uninstall: langchain-text-splitters
Found existing installation: langchain-text-splitters 0.3.11
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Attempting uninstall: langchain-openai
Found existing installation: langchain-openai 0.3.34
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Attempting uninstall: jupytext
Found existing installation: jupytext 1.18.1
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Attempting uninstall: google-genai
Found existing installation: google-genai 1.47.0
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Attempting uninstall: nbconvert
Found existing installation: nbconvert 7.16.6
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Attempting uninstall: langchain-google-genai
Found existing installation: langchain-google-genai 0.0.1
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Successfully uninstalled langchain-google-genai-0.0.1
Attempting uninstall: google-ai-generativelanguage
Found existing installation: google-ai-generativelanguage 0.4.0
Uninstalling google-ai-generativelanguage-0.4.0:
Successfully uninstalled google-ai-generativelanguage-0.4.0
Attempting uninstall: langchain-community
Found existing installation: langchain-community 0.3.31
Uninstalling langchain-community-0.3.31:
Successfully uninstalled langchain-community-0.3.31
Attempting uninstall: google-generativeai
Found existing installation: google-generativeai 0.3.2
Uninstalling google-generativeai-0.3.2:
Successfully uninstalled google-generativeai-0.3.2
Attempting uninstall: langchain
Found existing installation: langchain 0.3.27
Uninstalling langchain-0.3.27:
Successfully uninstalled langchain-0.3.27
Attempting uninstall: jupyterlab
Found existing installation: jupyterlab 4.4.10
Uninstalling jupyterlab-4.4.10:
Successfully uninstalled jupyterlab-4.4.10
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
jupyter-ai-magics 2.31.6 requires langchain<0.4.0,>=0.3.0, but you have langchain 1.2.10 which is incompatible.
jupyter-ai-magics 2.31.6 requires langchain-community<0.4.0,>=0.3.0, but you have langchain-community 0.4.1 which is incompatible.
langchain-aws 0.2.35 requires langchain-core<0.4.0,>=0.3.76, but you have langchain-core 1.2.15 which is incompatible.
langchain-cohere 0.4.5 requires langchain-community<0.4.0,>=0.3.0, but you have langchain-community 0.4.1 which is incompatible.
langchain-cohere 0.4.5 requires langchain-core<0.4.0,>=0.3.27, but you have langchain-core 1.2.15 which is incompatible.
langchain-anthropic 0.3.22 requires langchain-core<1.0.0,>=0.3.78, but you have langchain-core 1.2.15 which is incompatible.
langchain-nvidia-ai-endpoints 0.3.19 requires langchain-core<0.4,>=0.3.51, but you have langchain-core 1.2.15 which is incompatible.
qianfan [REDACTED_IP] requires tenacity<9.0.0,>=8.2.3, but you have tenacity 9.1.4 which is incompatible.
ai21 4.2.1 requires tenacity<9.0.0,>=8.3.0, but you have tenacity 9.1.4 which is incompatible.
cohere 5.15.0 requires httpx-sse==0.4.0, but you have httpx-sse 0.4.3 which is incompatible.
Successfully installed aiohttp-3.13.3 anyio-4.12.1 apswutils-0.1.2 astroid-4.0.4 asttokens-3.0.1 async-lru-2.2.0 babel-2.18.0 beautifulsoup4-4.14.3 brotli-1.2.0 build-1.4.0 certifi-2026.1.4 click-8.3.1 click-default-group-1.2.4 condense-json-0.1.3 cryptography-46.0.5 debugpy-1.8.20 dill-0.4.1 fastcore-1.12.16 fastlite-0.2.4 filelock-3.24.3 flatbuffers-25.12.19 fonttools-4.61.1 google-ai-generativelanguage-0.6.15 google-api-core-2.30.0 google-api-python-client-2.190.0 google-auth-2.49.0.dev0 google-auth-httplib2-0.3.0 google-genai-1.64.0 google-generativeai-0.8.6 googleapis-common-protos-1.72.0 greenlet-3.3.2 httplib2-0.31.2 httpx-sse-0.4.3 imageio-2.37.2 ipykernel-7.2.0 ipython-9.10.0 ipywidgets-8.1.8 isort-8.0.0 itables-2.7.0 jiter-0.13.0 joblib-1.5.3 json5-0.13.0 jsonschema-4.26.0 jupyter-client-8.8.0 jupyter-server-terminals-0.5.4 jupyterlab-4.5.5 jupyterlab-widgets-3.0.16 jupytext-1.19.1 langchain-1.2.10 langchain-classic-1.0.1 langchain-community-0.4.1 langchain-core-1.2.15 langchain-google-genai-4.2.1 langchain-openai-1.1.10 langchain-text-splitters-1.1.1 langgraph-1.0.9 langgraph-checkpoint-4.0.0 langgraph-prebuilt-1.0.8 langgraph-sdk-0.3.8 langsmith-0.7.6 llm-0.28 markdownify-1.2.2 marshmallow-3.26.2 matplotlib-3.10.8 mistune-3.2.0 multidict-6.7.1 nbclient-0.10.4 nbconvert-7.17.0 nbstripout-0.9.1 nltk-3.9.3 numpy-2.4.2 onnxruntime-1.24.2 openai-2.23.0 orjson-3.11.7 ormsgpack-1.12.2 packaging-26.0 pandas-3.0.1 parso-0.8.6 piper-tts-1.4.1 platformdirs-4.9.2 pluggy-1.6.0 prometheus-client-0.24.1 proto-plus-1.27.1 protobuf-5.29.6 psutil-7.2.2 puremagic-2.0.0 pyasn1-0.6.2 pycparser-3.0 pydantic-2.12.5 pydantic-core-2.41.5 pydantic-settings-2.13.1 pylint-4.0.5 pyparsing-3.3.2 python-fasthtml-0.12.47 python-frontmatter-1.1.0 python-multipart-0.0.22 python-ulid-3.1.0 regex-2026.2.19 rich-14.3.3 rpds-py-0.30.0 scikit-learn-1.8.0 scipy-1.17.1 selenium-4.41.0 send2trash-2.1.0 soupsieve-2.8.3 sqlalchemy-2.0.47 sqlite-fts4-1.0.3 sqlite-migrate-0.1b0 sqlite-utils-3.39 starlette-0.52.1 tenacity-9.1.4 tldextract-5.3.1 tomlkit-0.14.0 tornado-6.5.4 tqdm-4.67.3 trio-0.33.0 tzdata-2025.3 uritemplate-4.2.0 urllib3-2.6.3 uuid-utils-0.14.1 uvicorn-0.41.0 wcwidth-0.6.0 webcolors-25.10.0 wheel-0.46.3 widgetsnbextension-4.0.15 wsproto-1.3.2 xxhash-3.6.0
[notice] A new release of pip is available: 25.2 -> 26.0.1
[notice] To update, run: pip install --upgrade pip
(nix)
[mike@nixos:~/repos/pipulate]$ llm --version
llm, version 0.28
(nix)
[mike@nixos:~/repos/pipulate]$
Weird! I’d like to stop here, but we need to be declarative!
Gemini 3 Pro: Context verified.
You spotted the exact anomaly, and your instinct to be declarative is 100% correct. The “weirdness” you just experienced is the ghost of statefulness haunting your machine.
The Anatomy of the Pip Error
Look closely at the red text in your log:
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed.
jupyter-ai-magics 2.31.6 requires langchain<0.4.0,>=0.3.0, but you have langchain 1.2.10 which is incompatible.
Why is pip complaining about jupyter-ai-magics? We explicitly commented out jupyter-ai in requirements.in and recompiled!
Here is the hard reality of Python’s default package manager: pip install -r is additive, but it is rarely subtractive. When you ran pip install -r requirements.txt, pip faithfully upgraded langchain and installed llm just as you asked. But it completely ignored the fact that the old jupyter-ai packages were still sitting in your .venv/ folder from yesterday. Those “zombie” packages woke up, looked at the shiny new version of langchain you just installed, and screamed that their dependencies were violated.
The Declarative Cleansing (The Orbital Strike)
This is exactly why Vibe Coding fails in the long run. An AI agent would see that error, panic, and try to write a patch to downgrade langchain, throwing you right back into the 200,000-round dependency death spiral.
But you, wielding the LPvgn philosophy, know better. You know that the .venv/ is just a temporary, ephemeral cache. The declarative truth lives in flake.nix and requirements.txt.
To align the physical reality of your hard drive with the mathematical truth of your locked requirements, you must purge the zombie state.
Run this sequence to nuke the site from orbit and let Nix rebuild it flawlessly:
# 1. Exit the current nix shell
exit
# 2. Obliterate the tainted virtual environment
rm -rf .venv/
# 3. Re-hydrate declaratively
nix develop
This time, because jupyter-ai is completely absent from the newly compiled requirements.txt, it will never be downloaded. You will get zero pip dependency errors, and when it finishes, llm --version will still work perfectly.
Go ahead and trigger the orbital strike. Once the fresh nix develop finishes without those nasty red pip errors, we will finally open pipulate/core.py and wire Simon Willison’s llm governor into the engine!
Me: Skeptical, but okay:
(nix)
[mike@nixos:~/repos/pipulate]$ exit
exit
[mike@nixos:~/repos/pipulate]$ rm -rf .venv/
[mike@nixos:~/repos/pipulate]$ git status
On branch main
Your branch is up to date with 'origin/main'.
nothing to commit, working tree clean
[mike@nixos:~/repos/pipulate]$ nix develop
warning: updating lock file '/home/mike/repos/pipulate/flake.lock':
• Added input 'flake-utils':
'github:numtide/flake-utils/11707dc2f618dd54ca8739b309ec4fc024de578b?narHash=sha256-l0KFg5HjrsfsO/JpG%2Br7fRrqm12kzFHyUHqHCVpMMbI%3D' (2024-11-13)
• Added input 'flake-utils/systems':
'github:nix-systems/default/da67096a3b9bf56a91d16901293e51ba5b49a27e?narHash=sha256-Vy1rq5AaRuLzOxct8nz4T6wlgyUR7zLU309k9mBC768%3D' (2023-04-09)
• Added input 'nixpkgs':
'github:NixOS/nixpkgs/2fc6539b481e1d2569f25f8799236694180c0993?narHash=sha256-0MAd%2B0mun3K/Ns8JATeHT1sX28faLII5hVLq0L3BdZU%3D' (2026-02-23)
Checking for updates...
Temporarily stashing local JupyterLab settings...
From github.com:miklevin/pipulate
* branch main -> FETCH_HEAD
Already up to date.
Restoring local JupyterLab settings...
INFO: EFFECTIVE_OS set to: linux
Entering standard environment with auto-updates...
____ _ _ __ _ _
| __ ) ___ | |_(_)/ _|_ _| |_| |__ ___ _ __
| _ \ / _ \| __| | |_| | | | __| '_ \ / _ \| '_ \
| |_) | (_) | |_| | _| |_| | |_| | | | (_) | | | |
|____/ \___/ \__|_|_| \__, |\__|_| |_|\___/|_| |_|
|___/
Version: 1.4.5 (Silent Stealth Crawling)
✓ In Nix shell v1.4.5 (Silent Stealth Crawling) - you can run python server.py
Welcome to the Botifython development environment on x86_64-linux!
✓ JupyterLab configured for project-local settings.
🔧 Fresh Python environment detected - installing packages (this may take 2-3 minutes)...
This is normal on a fresh install or after using '🐍 Reset Python Environment' button.
✅ Fresh Python environment build complete! 262 packages installed.
- numpy is importable (good to go!)
Starting JupyterLab and Botifython server automatically...
Both will open in your browser...
To view server logs: tmux attach -t server
To view JupyterLab logs: tmux attach -t jupyter
To stop all services: pkill tmux
To restart all services: run-all
To start only server: run-server
To start only JupyterLab: run-jupyter
Starting JupyterLab...
Waiting for JupyterLab to start (checking http://localhost:8888)...
....✅ JupyterLab is ready at http://localhost:8888!
Starting Botifython server in the foreground...
Press Ctrl+C to stop the server.
Pulling latest code updates...
Already up to date.
Waiting for Botifython server to start (checking http://localhost:5001)...
✅ Data directory ensured at top of script.
.🎤 Voice synthesis not available: No module named 'huggingface_hub'
🎤 Voice synthesis not available: No module named 'huggingface_hub'
../home/mike/repos/pipulate/pipulate/core.py:26: FutureWarning:
All support for the `google.generativeai` package has ended. It will no longer be receiving
updates or bug fixes. Please switch to the `google.genai` package as soon as possible.
See README for more details:
https://github.com/google-gemini/deprecated-generative-ai-python/blob/main/README.md
import google.generativeai as genai
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┃ ┃
┃ ______________ ____ ________ ______ ┃
┃ / ___/_ __/ | / __ \/_ __/ / / / __ \ ┃
┃ \__ \ / / / /| | / /_/ / / / / / / / /_/ / ┃
┃ ___/ // / / ___ |/ _, _/ / / / /_/ / ____/ ┃
┃ /____//_/ /_/ |_/_/ |_| /_/ \____/_/ ┃
┃ ┃
┃ ┃
┃ Pipulate server starting... ┃
┃ ┃
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╭──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── 🐰 Welcome to Consoleland ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ │
│ . │
│ - This is Uvicorn webserver output. /) ______ │
│ (i.e. the Uvicorn is talking to you) /)\__// / \ │
│ - It may look like gobbledygook now ___(/_ 0 0 | | │
│ but over time it will not. *( ==(_T_)== |Pipulate| │
│ - Curious? Become a Carpenter! \ ) ""\ | | │
│ |__>-\_>_> \______/ │
│ │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Down the rabbit hole of radical transparency ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
╔════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════ 🏗️ Pipulate Architecture ═════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════╗
║ ║
║ . ║
║ ┌─────────────────────────────┐ ║
║ │ Navigation ◄── Search, Profiles, ║
║ ├───────────────┬─────────────┤ Apps, Settings ║
║ │ │ │ ║
║ Workflow, ──► Main Area │ Chat │ ║
║ App UI │ (Pipeline) │ Interface ◄── LLM Interaction ║
║ │ │ │ ║
║ └─────────────────────────────┘ ║
║ ║
╚════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════╝
13:31:03 | INFO | imports.server_logging | 🚀 FINDER_TOKEN: UNIFIED_LOGGING_ACTIVE - Single source of truth logging initialized
13:31:03 | INFO | imports.server_logging | 📁 FINDER_TOKEN: LOG_ROTATION_READY - Keeping last 10 server runs for debugging context
13:31:03 | INFO | __main__ | 🚀 FINDER_TOKEN: EARLY_STARTUP - Logger initialized, beginning server startup sequence
13:31:03 | INFO | __main__ | 🚀 Running in INFO mode (edit server.py and set DEBUG_MODE=True for verbose logging)
13:31:03 | INFO | __main__ | 🏷️ FINDER_TOKEN: APP_CONFIG - App name: Botifython
13:31:03 | INFO | __main__ | 🗄️ FINDER_TOKEN: DB_CONFIG - Database filename: data/botifython_dev.db
13:31:03 | INFO | __main__ | 🤖 FINDER_TOKEN: LLM_CONFIG - Model: gemma3, Max words: 80, Conversation length: 600, Context window: 128k tokens
13:31:03 | INFO | __main__ | SSE Broadcaster initialized
13:31:03 | INFO | __main__ | 💾 FINDER_TOKEN: DB_WRAPPER - Database wrapper initialized
13:31:03 | INFO | pipulate.core | Pipulate initializing in server mode.
13:31:03 | INFO | __main__ | 💾 FINDER_TOKEN: PIPULATE - Pipeline object created.
13:31:03 | INFO | __main__ | 🌐 FINDER_TOKEN: CORS_MIDDLEWARE - CORS middleware added to FastHTML app
13:31:03 | INFO | __main__ | 📁 FINDER_TOKEN: PLUGINS_DIR - Plugins directory exists
13:31:03 | INFO | __main__ | 💬 FINDER_TOKEN: CHAT_INIT - Chat instance initialized
13:31:03 | INFO | __main__ | 🔗 FINDER_TOKEN: CHAT_LINK - Chat reference set in pipulate instance
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┃ ┃
┃ ┃
┃ __ _ _ __ _ __ ___ ┃
┃ / _` | '_ \| '_ \/ __| ┃
┃ | (_| | |_) | |_) \__ \ ┃
┃ \__,_| .__/| .__/|___/ ┃
┃ |_| |_| ┃
┃ ┃
┃ Pipulate Workflows and CRUD Apps ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
13:31:03 | INFO | imports.durable_backup_system | 🗃️ Rolling backup root: /home/mike/.pipulate/backups
✅ Data directory ensured at top of script.
13:31:03 | INFO | imports.server_logging | 🚀 FINDER_TOKEN: UNIFIED_LOGGING_ACTIVE - Single source of truth logging initialized
13:31:03 | INFO | imports.server_logging | 📁 FINDER_TOKEN: LOG_ROTATION_READY - Keeping last 10 server runs for debugging context
13:31:03 | INFO | server | 🚀 FINDER_TOKEN: EARLY_STARTUP - Logger initialized, beginning server startup sequence
13:31:03 | INFO | server | 🏷️ FINDER_TOKEN: APP_CONFIG - App name: Botifython
13:31:03 | INFO | server | 🗄️ FINDER_TOKEN: DB_CONFIG - Database filename: data/botifython_dev.db
13:31:03 | INFO | server | 🤖 FINDER_TOKEN: LLM_CONFIG - Model: gemma3, Max words: 80, Conversation length: 600, Context window: 128k tokens
13:31:03 | INFO | server | SSE Broadcaster initialized
13:31:03 | INFO | server | 💾 FINDER_TOKEN: DB_WRAPPER - Database wrapper initialized
13:31:03 | INFO | pipulate.core | Pipulate initializing in server mode.
13:31:03 | INFO | server | 💾 FINDER_TOKEN: PIPULATE - Pipeline object created.
13:31:03 | INFO | server | 🌐 FINDER_TOKEN: CORS_MIDDLEWARE - CORS middleware added to FastHTML app
13:31:03 | INFO | server | 📁 FINDER_TOKEN: PLUGINS_DIR - Plugins directory exists
13:31:03 | INFO | server | 💬 FINDER_TOKEN: CHAT_INIT - Chat instance initialized
13:31:03 | INFO | server | 🔗 FINDER_TOKEN: CHAT_LINK - Chat reference set in pipulate instance
13:31:03 | ERROR | server | Error importing plugin module 440_browser_automation: No module named 'pkg_resources'
13:31:03 | WARNING | server | FINDER_TOKEN: PLUGIN_REGISTRATION_FAILURE - Plugin class roles.PluginIdentityManager appears to be a plugin (has APP_NAME/DISPLAY_NAME/ROLES/steps) but missing required landing method - skipping
13:31:03 | WARNING | server | FINDER_TOKEN: PLUGIN_REGISTRATION_FAILURE - Plugin class tasks.PluginIdentityManager appears to be a plugin (has APP_NAME/DISPLAY_NAME/ROLES/steps) but missing required landing method - skipping
13:31:03 | INFO | apps.030_roles | Fastlite 'roles' table created or accessed via handle: "roles"
13:31:03 | INFO | apps.030_roles | Called .dataclass() on table handle to enable dataclass returns.
13:31:03 | INFO | imports.crud | 🗃️ roles CRUD initialized with durable backup support
13:31:03 | INFO | apps.030_roles | ROLES: Role initialization complete.
13:31:03 | INFO | apps.060_tasks | Fastlite 'tasks' table created or accessed via handle: "tasks"
13:31:03 | INFO | apps.060_tasks | Called .dataclass() on table handle to enable dataclass returns.
13:31:03 | INFO | imports.crud | 🗃️ tasks CRUD initialized with durable backup support
13:31:03 | INFO | apps.060_tasks | 🔍 FINDER_TOKEN: STARTUP_TASKS_BASELINE - No pending tasks found across all profiles
13:31:03 | INFO | server | 🔧 FINDER_TOKEN: STARTUP_MCP_REGISTRATION - Dynamically discovering all MCP tools
.Error setting up paths or importing dependencies: 'tools' directory not found at expected location: /home/mike/repos/tools
13:31:04 | INFO | server | 🔧 FINDER_TOKEN: STARTUP_MCP_REGISTRATION_COMPLETE - 19 tools are now available
13:31:04 | INFO | server | 🔧 ASCII_MARKER_1: About to check MCP figlet banner conditions
13:31:04 | INFO | server | 🔧 ASCII_MARKER_1: __name__ = server, tool_count = 19
13:31:04 | INFO | server | 🔧 ASCII_MARKER_X: MCP figlet banner conditions not met - skipped
13:31:04 | INFO | server | 🔧 STARTUP_MARKER_1: About to check __name__ == '__main__' condition
13:31:04 | INFO | server | 🔧 STARTUP_MARKER_1: __name__ value is: server
13:31:04 | INFO | server | 🔧 STARTUP_MARKER_X: NOT in __name__ == '__main__' block - Rich tables skipped
💬 Chip O'Theseus: All plugins loaded successfully! The workshop is fully equipped.
13:31:04 | INFO | server | 🔧 TRANSPARENCY_MARKER_1: About to check radical transparency banner conditions
13:31:04 | INFO | server | 🔧 TRANSPARENCY_MARKER_1: __name__ = server
13:31:04 | INFO | server | 🔧 TRANSPARENCY_MARKER_X: radical transparency banner conditions not met - skipped
13:31:04 | ERROR | __main__ | Error importing plugin module 440_browser_automation: No module named 'pkg_resources'
13:31:04 | WARNING | __main__ | FINDER_TOKEN: PLUGIN_REGISTRATION_FAILURE - Plugin class profiles.ProfilesPluginIdentity appears to be a plugin (has APP_NAME/DISPLAY_NAME/ROLES/steps) but missing required landing method - skipping
13:31:04 | WARNING | __main__ | FINDER_TOKEN: PLUGIN_REGISTRATION_FAILURE - Plugin class roles.PluginIdentityManager appears to be a plugin (has APP_NAME/DISPLAY_NAME/ROLES/steps) but missing required landing method - skipping
13:31:04 | WARNING | __main__ | FINDER_TOKEN: PLUGIN_REGISTRATION_FAILURE - Plugin class tasks.PluginIdentityManager appears to be a plugin (has APP_NAME/DISPLAY_NAME/ROLES/steps) but missing required landing method - skipping
13:31:04 | INFO | __main__ | Instantiating ProfilesPlugin with profiles_table_from_server
13:31:04 | INFO | apps.020_profiles | 👤 Profiles Plugin SUCCESS: Initialized with 'profiles' table object: profile
13:31:04 | INFO | imports.crud | 🗃️ profiles CRUD initialized with durable backup support
13:31:04 | INFO | apps.020_profiles | CRUD routes for 👤 Profiles (prefix '/profiles') registered by ProfileCrudOperations.
13:31:04 | INFO | apps.030_roles | Fastlite 'roles' table created or accessed via handle: "roles"
13:31:04 | INFO | apps.030_roles | Called .dataclass() on table handle to enable dataclass returns.
13:31:04 | INFO | imports.crud | 🗃️ roles CRUD initialized with durable backup support
13:31:04 | INFO | apps.030_roles | ROLES: Role initialization complete.
13:31:04 | INFO | apps.060_tasks | Fastlite 'tasks' table created or accessed via handle: "tasks"
13:31:04 | INFO | apps.060_tasks | Called .dataclass() on table handle to enable dataclass returns.
13:31:04 | INFO | imports.crud | 🗃️ tasks CRUD initialized with durable backup support
13:31:04 | INFO | apps.060_tasks | 🔍 FINDER_TOKEN: STARTUP_TASKS_BASELINE - No pending tasks found across all profiles
13:31:04 | INFO | __main__ | 🔧 FINDER_TOKEN: STARTUP_MCP_REGISTRATION - Dynamically discovering all MCP tools
13:31:04 | INFO | __main__ | 🔧 FINDER_TOKEN: STARTUP_MCP_REGISTRATION_COMPLETE - 19 tools are now available
13:31:04 | INFO | __main__ | 🔧 ASCII_MARKER_1: About to check MCP figlet banner conditions
13:31:04 | INFO | __main__ | 🔧 ASCII_MARKER_1: __name__ = __main__, tool_count = 19
13:31:04 | INFO | __main__ | 🔧 ASCII_MARKER_2: Displaying MCP figlet banner and section header
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ __ __ ____ ____ ┃
┃ | \/ |/ ___| _ \ ┃
┃ | |\/| | | | |_) | ┃
┃ | | | | |___| __/ ┃
┃ |_| |_|\____|_| ┃
┃ ┃
┃ ┃
┃ Model Context Protocol Tools ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ │
│ 🔧 MCP Arsenal │
│ Equipped with 19 AI-powered tools for transparency │
│ ──────────────────────────────────────────────────────────── │
│ │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
13:31:04 | INFO | __main__ | 🔧 ASCII_MARKER_3: MCP figlet banner and section header displayed
13:31:04 | INFO | __main__ | 🔧 STARTUP_MARKER_1: About to check __name__ == '__main__' condition
13:31:04 | INFO | __main__ | 🔧 STARTUP_MARKER_1: __name__ value is: __main__
13:31:04 | INFO | __main__ | 🔧 STARTUP_MARKER_2: Inside __name__ == '__main__' block - showing Rich tables
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── 🚀 Pipulate Startup Complete ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ │
│ 🚀 System Status 🎯 AI Quick Commands │
│ ┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ │
│ ┃ Component ┃ Status ┃ Details ┃ ┃ Purpose ┃ Command ┃ │
│ ┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │
│ │ 🏷️ App Name │ ✅ Active │ Botifython │ │ 🔍 System State │ .venv/bin/python cli.py call │ │
│ │ 🌍 Environment │ ✅ Active │ Development │ │ │ pipeline_state_inspector │ │
│ │ 📦 Plugins │ ✅ Loaded │ 38/38 registered │ │ 📖 Log Analysis │ .venv/bin/python cli.py call local_llm_grep_logs │ │
│ │ 🔧 MCP Tools │ ✅ Ready │ 19 tools available │ │ │ --search_term FINDER_TOKEN │ │
│ │ 🧠 AI Memory │ ✅ Active │ Keychain persistence enabled │ │ 👁️ Browser Scrape │ .venv/bin/python cli.py call browser_scrape_page │ │
│ │ 🌐 Browser Eyes │ ✅ Ready │ Session hijacking capability │ │ │ --url http://localhost:5001 │ │
│ └──────────────────────┴─────────────────┴──────────────────────────────────────────┘ │ 🎭 Session Hijack │ .venv/bin/python -c "import asyncio; from │ │
│ │ │ tools.mcp_tools import │ │
│ │ │ execute_complete_session_hijacking; │ │
│ │ │ asyncio.run(execute_complete_session_hijacking({}… │ │
│ │ 🧠 AI Discovery │ .venv/bin/python -c "from tools.mcp_tools import │ │
│ │ │ ai_self_discovery_assistant; import asyncio; │ │
│ │ │ asyncio.run(ai_self_discovery_assistant({'discove… │ │
│ │ │ 'capabilities'}))" │ │
│ └───────────────────────────┴────────────────────────────────────────────────────┘ │
│ │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── All systems operational • Ready for AI workflows ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
13:31:04 | INFO | __main__ | 🔧 STARTUP_MARKER_3: aa.startup_summary_table displayed
╭───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── 🍞 AI Discovery Complete ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ 🧠 AI Capabilities Discovered │
│ ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ │
│ ┃ Capability ┃ Status ┃ Description ┃ │
│ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │
│ │ 🔧 MCP Tools │ ✅ Active │ 19 programmatic tools ready │ │
│ │ 👁️ Browser Eyes │ ✅ Ready │ Screenshot + DOM analysis │ │
│ │ 🤲 Browser Hands │ ✅ Ready │ Selenium automation control │ │
│ │ 🎭 Session Hijack │ ✅ Ready │ Complete workflow capture │ │
│ │ 🧠 Persistent Memory │ ✅ Active │ Keychain across restarts │ │
│ │ 📚 Documentation │ ✅ Complete │ 14 comprehensive guides │ │
│ └───────────────────────────┴─────────────────┴──────────────────────────────────────────┘ │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Zero uncertainty • 100% automation success rate ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
13:31:04 | INFO | __main__ | 🔧 STARTUP_MARKER_4: ai_breadcrumb_summary displayed
╭──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── 🚨 AI Assistant Guidelines ────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ ⚠️ Critical Environment Notes │
│ ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ │
│ ┃ Issue ┃ Solution ┃ │
│ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │
│ │ 🐍 Python Path Issue │ NEVER use 'python' - ALWAYS use '.venv/bin/python' (even │ │
│ │ │ with .venv in prompt!) │ │
│ │ 🔗 Golden Path │ cd pipulate && .venv/bin/python cli.py call <tool_name> │ │
│ │ │ works everywhere │ │
│ │ 📁 Working Directory │ MCP tools require 'cd pipulate' first - never run from │ │
│ │ │ workspace root │ │
│ │ 🎯 Browser Evidence │ Check browser_cache/looking_at/ FIRST, system internals │ │
│ │ │ second │ │
│ └───────────────────────────┴──────────────────────────────────────────────────────────────┘ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Essential knowledge for 100% success rate ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
13:31:04 | INFO | __main__ | 🔧 STARTUP_MARKER_5: aa.startup_environment_warnings displayed
💬 Chip O'Theseus: All plugins loaded successfully! The workshop is fully equipped.
13:31:04 | INFO | __main__ | 🔧 TRANSPARENCY_MARKER_1: About to check radical transparency banner conditions
13:31:04 | INFO | __main__ | 🔧 TRANSPARENCY_MARKER_1: __name__ = __main__
13:31:04 | INFO | __main__ | 🔧 TRANSPARENCY_MARKER_2: Displaying radical transparency banner
╔══════════════════════════════════════════════════════════════╗
║ RADICAL TRANSPARENCY ║
║ ║
║ Every operation is observable • Every call is logged ║
║ Every state change is tracked • Every error is explained ║
║ ║
║ 🔍 FINDER_TOKENs guide your debugging journey ║
║ 🔧 MCP Tools provide programmatic access to everything ║
║ 📊 Pipeline State Inspector reveals workflow internals ║
║ 🤖 AI Assistants have complete system visibility ║
║ ║
║ "Know EVERYTHING that's happening!" ║
╚══════════════════════════════════════════════════════════════╝
13:31:04 | INFO | __main__ | 🔧 TRANSPARENCY_MARKER_3: aa.radical_transparency_banner displayed
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: WATCHDOG RESTART BEHAVIOR EXPLANATION
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: The Pipulate server uses a sophisticated dual-display system:
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: 1. CONSOLE (for humans): Shows each banner ONCE per session for clean UX
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: 2. LOGS (for AI assistants): Captures ALL restart events including rapid restarts
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: When watchdog detects file changes, multiple rapid restarts may occur:
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: - Each restart triggers aa.figlet_banner() calls
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: - Console shows banners once (better newb/plebe experience)
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: - Logs capture every restart event for AI transparency
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: - This creates a cleaner user experience while maintaining radical transparency for AI
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: GREP COMMANDS for AI assistants:
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: - grep 'ASCII_DATA:' logs/server.log # See all ASCII art
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: - grep 'AI_RESTART_ARCHITECTURE' logs/server.log # This explanation
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: - grep 'FIGLET_BANNER' logs/server.log # All banner events
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: This dual-logging approach provides:
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: - Clean console experience for beginners
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: - Complete transparency for AI debugging
13:31:04 | WARNING | __main__ | 🤖 AI_RESTART_ARCHITECTURE: - Continuous narrative flow despite rapid restarts
13:31:04 | INFO | __main__ | 🚀 FINDER_TOKEN: SERVER_STARTUP - Starting server with watchdog
13:31:04 | WARNING | __main__ | 🤖 AI_STARTUP_BANNER: About to display main startup banner with ASCII art
13:31:04 | WARNING | __main__ | 🤖 AI_STARTUP_BANNER: This banner appears on every server start (manual or watchdog restart)
13:31:04 | WARNING | __main__ | 🤖 AI_STARTUP_BANNER: Console shows it once per session, logs capture every occurrence
13:31:04 | WARNING | __main__ | 🤖 AI_STARTUP_BANNER: aa.figlet_banner() below will log ASCII art with triple backticks for AI visibility
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ ____ _ _ __ _ _ ┃
┃ | __ ) ___ | |_(_)/ _|_ _| |_| |__ ___ _ __ ┃
┃ | _ \ / _ \| __| | |_| | | | __| '_ \ / _ \| '_ \ ┃
┃ | |_) | (_) | |_| | _| |_| | |_| | | | (_) | | | | ┃
┃ |____/ \___/ \__|_|_| \__, |\__|_| |_|\___/|_| |_| ┃
┃ |___/ ┃
┃ ┃
┃ Local First AI SEO Software ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ __ __ _ _ _ _ ____ ┃
┃ \ \ / /__ _ __ ___(_) ___ _ __ / || || | | ___| ┃
┃ \ \ / / _ \ '__/ __| |/ _ \| '_ \ | || || |_ |___ \ ┃
┃ \ V / __/ | \__ \ | (_) | | | | | ||__ _| ___) | ┃
┃ \_/ \___|_| |___/_|\___/|_| |_| |_(_) |_|(_)____/ ┃
┃ ┃
┃ ┃
┃ Silent Stealth Crawling ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
💬 Chip O'Theseus: Hello! The server is restarting. I'll be right back online.
13:31:04 | INFO | __main__ | 🌍 FINDER_TOKEN: ENVIRONMENT - Current environment: Development
13:31:04 | WARNING | imports.server_logging | [⚠️ WARNING] Development mode active | Using database: data/botifython_dev.db
.13:31:05 | INFO | imports.server_logging | [🚀 STARTUP] Server starting on http://localhost:5001
13:31:05 | INFO | __main__ | 🌐 FINDER_TOKEN: UVICORN_START - Starting uvicorn server on http://localhost:5001
13:31:05 | INFO | __main__ | 📊 FINDER_TOKEN: UVICORN_CONFIG - Log level: warning, Access log: False
13:31:05 | INFO | __main__ | 🔧 FINDER_TOKEN: STARTUP_EVENT_MCP_READY - 19 MCP tools available for async startup
13:31:05 | INFO | __main__ | SERVER STARTUP_EVENT: Pre synchronize_roles_to_db.
🔐 Synchronizing roles and permissions
13:31:05 | INFO | __main__ | SYNC_ROLES: Starting role synchronization to database...
13:31:05 | INFO | __main__ | SYNC_ROLES: Total unique role names discovered from all sources: {'Core', 'Tutorial', 'Developer', 'Components', 'Workshop', 'Botify Employee'}
13:31:05 | INFO | __main__ | SYNC_ROLES: Synchronization complete. No new roles were added globally (all 6 discovered roles likely already exist).
13:31:05 | INFO | __main__ | SERVER STARTUP_EVENT: Post synchronize_roles_to_db. Final startup states:
13:31:05 | INFO | __main__ | 💬 FINDER_TOKEN: CONVERSATION_RESTORE_STARTUP - Conversation history restoration disabled to prevent database locking conflicts
13:31:05 | INFO | __main__ | 💬 FINDER_TOKEN: CONVERSATION_RESTORE_NONE - Starting with fresh conversation history (SQLite locking prevention)
13:31:05 | INFO | __main__ | 🎭 FINDER_TOKEN: DEMO_CONTINUATION_NONE - No demo continuation state found
13:31:05 | INFO | __main__ | 🎭 FINDER_TOKEN: DEMO_RESTART_NONE - Normal server restart, no demo state found
13:31:05 | INFO | imports.durable_backup_system | 🗃️ Rolling backup root: /home/mike/.pipulate/backups
📖 Backup System
Protecting critical data assets
13:31:05 | INFO | imports.durable_backup_system | 🛡️ Latest backup created: /home/mike/.pipulate/backups/ai_keychain.db
13:31:05 | INFO | imports.durable_backup_system | 🛡️ Dated backup already exists: /home/mike/.pipulate/backups/ai_keychain_2026-02-24.db
13:31:05 | INFO | imports.durable_backup_system | 🛡️ Latest backup created: /home/mike/.pipulate/backups/discussion.db
13:31:05 | INFO | imports.durable_backup_system | 🛡️ Dated backup already exists: /home/mike/.pipulate/backups/discussion_2026-02-24.db
13:31:05 | INFO | imports.durable_backup_system | 🛡️ Latest backup created: /home/mike/.pipulate/backups/botifython.db
13:31:05 | INFO | imports.durable_backup_system | 🛡️ Dated backup already exists: /home/mike/.pipulate/backups/botifython_2026-02-24.db
13:31:05 | INFO | imports.durable_backup_system | 🛡️ Latest backup created: /home/mike/.pipulate/backups/botifython_dev.db
13:31:05 | INFO | imports.durable_backup_system | 🛡️ Dated backup already exists: /home/mike/.pipulate/backups/botifython_dev_2026-02-24.db
13:31:05 | INFO | imports.durable_backup_system | 🧹 Cleanup complete: No old backup files found (>7 days)
13:31:05 | INFO | imports.durable_backup_system | 🛡️ Database backup complete: 4/4 successful
13:31:05 | INFO | __main__ | 🛡️ FINDER_TOKEN: BACKUP_STARTUP_SUCCESS - All 4 databases backed up successfully
📖 Workshop Ready
All systems initialized and ready for creative exploration
🛡️ Durable Backup Status
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ Database ┃ Status ┃ Backup Path ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ Production Profiles/Tasks │ ✅ Backed Up (44.0 KB) │ /home/mike/.pipulate/backups/botifython.db │
│ Development Profiles/Tasks │ ✅ Backed Up (312.0 KB) │ /home/mike/.pipulate/backups/botifython_dev.db │
│ Conversation History │ ✅ Backed Up (7232.0 KB) │ /home/mike/.pipulate/backups/discussion.db │
│ Chip O'Theseus Memory │ ✅ Backed Up (28.0 KB) │ /home/mike/.pipulate/backups/ai_keychain.db │
└────────────────────────────┴──────────────────────────┴────────────────────────────────────────────────┘
13:31:05 | INFO | imports.server_logging |
📊 STARTUP - RICH TABLE: 🛡️ Durable Backup Status
Headers: Database | Status | Backup Path
🔑 AI Keychain Memory
┏━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Key ┃ Value ┃
┡━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ alias_test │ it works │
│ idea │ foo bar baz │
└────────────┴─────────────┘
13:31:05 | INFO | imports.server_logging |
📊 STARTUP - RICH TABLE: 🔑 AI Keychain Memory
Headers: Key | Value
🎨 Database State: db
{
"last_app_choice": "",
"last_visited_url": "/",
"last_profile_id": "1",
"pipeline_id": "Default_Profile-hello-25",
"current_environment": "Development",
"profile_locked": "0",
"split-sizes": "[65, 35]",
"theme_preference": "dark",
"intro_current_page": "1",
"voice_enabled": "0",
"endpoint_message_sent__Development": "sent"
}
13:31:05 | INFO | imports.server_logging | 🔍 FINDER_TOKEN: DB_STATE_DB - STARTUP FINAL Key-Value Store: [Rich JSON displayed to console]
13:31:05 | INFO | imports.server_logging | 🔍 SEMANTIC_DB_DB: STARTUP FINAL Human-readable state:
📱 Current app/workflow: None (Home page)
🔗 Last page visited: /
🧑 Active user profile: 1
🌍 Environment mode: Development
👤 Profile editing: 🔓 Unlocked
📐 UI layout split: [65, 35]
🎨 UI theme: dark
📨 Startup message sent for Development: sent
🎨 Table State: profiles
[
{
"id": 1,
"name": "Default Profile",
"real_name": "Default User",
"address": "",
"code": "",
"active": 1,
"priority": 0
}
]
13:31:05 | INFO | imports.server_logging | 🔍 FINDER_TOKEN: TABLE_STATE_PROFILES - STARTUP FINAL Snapshot: [Rich JSON displayed to console]
13:31:05 | INFO | imports.server_logging | 🔍 FINDER_TOKEN: PIPELINE_SUMMARY - STARTUP FINAL Workflow Overview:
📊 Total workflows: 44
🔒 Finalized: 1
⚡ Active: 43
📱 Apps: browser(2), hello(25), notebook(12), param_buster(2), selenium_url_opener(2), widgets(1)
13:31:05 | INFO | imports.server_logging | 🔍 SEMANTIC_PIPELINE_CONTEXT: STARTUP FINAL Recent workflow keys: Default_Profile-hello-23, Default_Profile-hello-24, Default_Profile-hello-25
13:31:05 | INFO | imports.server_logging | [🌐 NETWORK] GET / (live-reload check) | ID: 5dc4c9e4
13:31:05 | INFO | imports.server_logging | [🌐 NETWORK] GET / (live-reload check) | ID: f205e060
ERROR: 2026-02-24 13:31:05,694 | Exception in ASGI application
Traceback (most recent call last):
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/uvicorn/protocols/websockets/websockets_impl.py", line 244, in run_asgi
result = await self.app(self.scope, self.asgi_receive, self.asgi_send) # type: ignore[func-returns-value]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/uvicorn/middleware/proxy_headers.py", line 60, in __call__
return await self.app(scope, receive, send)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/applications.py", line 107, in __call__
await self.middleware_stack(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/errors.py", line 151, in __call__
await self.app(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/base.py", line 103, in __call__
await self.app(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/cors.py", line 79, in __call__
await self.app(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/sessions.py", line 85, in __call__
await self.app(scope, receive, send_wrapper)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/exceptions.py", line 63, in __call__
await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
raise exc
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app
await app(scope, receive, sender)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/routing.py", line 716, in __call__
await self.middleware_stack(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/routing.py", line 736, in app
await route.handle(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/routing.py", line 364, in handle
await self.app(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/routing.py", line 97, in app
await wrap_app_handling_exceptions(app, session)(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
raise exc
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app
await app(scope, receive, sender)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/routing.py", line 95, in app
await func(session)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/fasthtml/live_reload.py", line 30, in live_reload_ws
while True: await websocket.receive()
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/websockets.py", line 57, in receive
raise RuntimeError('Cannot call "receive" once a disconnect message has been received.')
RuntimeError: Cannot call "receive" once a disconnect message has been received.
.13:31:06 | INFO | imports.server_logging | [🌐 NETWORK] GET / (curl health check) | ID: 1faca60e
✅ Botifython server is ready at http://localhost:5001!
13:31:06 | INFO | imports.server_logging | [🌐 NETWORK] GET /demo-bookmark-check | ID: c384258f
13:31:06 | INFO | __main__ | 📖 No demo bookmark found
13:31:06 | INFO | imports.server_logging | [🌐 NETWORK] GET /check-demo-resume | ID: 0166fcdf
13:31:06 | INFO | imports.server_logging | [🌐 NETWORK] GET /check-demo-comeback | ID: 1110059c
13:31:06 | INFO | __main__ | 🎭 DEBUG: /check-demo-comeback called, demo_comeback_state in db: None
13:31:06 | INFO | __main__ | 🔄 SSE event loop reference stored for restart notifications
13:31:06 | INFO | imports.server_logging | [🌐 NETWORK] GET / (browser startup/auto-open) | ID: c500daeb
13:31:07 | INFO | imports.server_logging | [🌐 NETWORK] GET / (live-reload check) | ID: 63b33afc
13:31:07 | INFO | imports.server_logging | [🌐 NETWORK] GET /demo-bookmark-check | ID: 2438941b
13:31:07 | INFO | imports.server_logging | [🌐 NETWORK] GET /check-demo-resume | ID: bae9f955
13:31:07 | INFO | __main__ | 📖 No demo bookmark found
13:31:07 | INFO | imports.server_logging | [🌐 NETWORK] GET /check-demo-comeback | ID: 42a0a477
13:31:07 | INFO | __main__ | 🎭 DEBUG: /check-demo-comeback called, demo_comeback_state in db: None
13:31:08 | INFO | pipulate.core | [🔄 QUEUEING] 🚀 Server started in DEV mode. Ready for experimentation and testing!...
13:31:08 | INFO | __main__ | 💬 FINDER_TOKEN: MESSAGE_APPENDED - ID:1, Role:system, Content:🚀 Server started in DEV mode. Ready for experiment...
13:31:08 | WARNING | pipulate.core | Deleted key from persistence store: endpoint_message_sent__Development
13:31:08 | INFO | __main__ | 🔧 STARTUP_DEBUG: Initial last_app_choice='', last_visited_url='/'
13:31:08 | INFO | __main__ | 🔧 STARTUP_DEBUG: URL endpoint resolved: / -> ''
13:31:08 | INFO | __main__ | 🔧 STARTUP_DEBUG: Detected homepage from URL: /
13:31:08 | INFO | __main__ | 🔧 STARTUP_DEBUG: Final current_endpoint='' (empty string = homepage)
13:31:08 | INFO | __main__ | 🔧 STARTUP_DEBUG: Available plugin_instances: ['introduction', 'backup_introduction', 'profiles', 'aspect', 'roles', 'hello_workflow', 'documentation', 'tasks', 'history', 'connect_with_botify', 'parameter_buster', 'link_graph', 'gap_analysis', 'workflow_genesis', 'widget_examples', 'roadmap', 'dev_assistant', 'simon_mcp', 'blank_placeholder', 'botify_trifecta', 'stream_simulator', 'text_field', 'text_area', 'dropdown', 'checkboxes', 'radios', 'range', 'switch', 'upload', 'markdown', 'mermaid', 'prism', 'javascript', 'pandas', 'rich', 'matplotlib', 'webbrowser', 'selenium']
13:31:08 | INFO | __main__ | 💬 FINDER_TOKEN: MESSAGE_APPENDED - ID:2, Role:system, Content:You are on the homepage, which is the Introduction...
13:31:08 | INFO | __main__ | 🔧 STARTUP_DEBUG: has_temp_message=False, is_valid_endpoint=True, demo_comeback_in_progress=False, current_endpoint_repr=''
13:31:08 | INFO | __main__ | 🔧 STARTUP_DEBUG: Endpoint message for '': Welcome to the Machine. Click to enter....
13:31:08 | INFO | imports.server_logging | [🌐 NETWORK] GET / (live-reload check) | ID: f0bde01c
13:31:09 | INFO | pipulate.core | [🔄 QUEUEING] 🔧 [STARTUP] Welcome to the Machine. Click to enter....
13:31:09 | INFO | __main__ | 💬 FINDER_TOKEN: MESSAGE_APPENDED - ID:3, Role:system, Content:🔧 [STARTUP] Welcome to the Machine. Click to enter...
13:31:09 | INFO | __main__ | 🔧 STARTUP_DEBUG: Successfully sent startup endpoint message: _Development_4164
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── 📖 Log Reading Guide ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ │
│ Reading Pipulate Logs - Quick Reference: │
│ │
│ Log Format: TIME | LEVEL | MODULE | MESSAGE │
│ Example: 14:20:03 | INFO | __main__ | [🌐 NETWORK] GET /simon_mcp | ID: 6aac3fe0 │
│ │
│ Common Emojis & Meanings: │
│ 🚀 STARTUP - Server initialization and startup events │
│ 🌐 NETWORK - HTTP requests, API calls, web traffic │
│ 🔄 PIPELINE - Workflow execution and step processing │
│ 💾 DATABASE - Data storage operations and queries │
│ 👤 PROFILE - User profile and authentication events │
│ 🔌 PLUGIN - Plugin loading and workflow registration │
│ 💬 CHAT - LLM interactions and AI conversations │
│ 🎭 AI_CREATIVE - ASCII art and AI-specific logging (logs only) You're speaking │
│ 🔍 FINDER_TOKEN - Searchable debug markers for AI assistants my language! │
│ 🔧 MCP_TOOLS - Model Context Protocol tool operations , O │
│ 🌍 BROWSER - Browser automation and Selenium operations \\ . O │
│ 🎯 SUCCESS - Completion markers and achievements |\\/| o │
│ 🏷️ CONFIG - System configuration and tagging / " '\ │
│ 🗄️ DB_CONFIG - Database configuration events . . . │
│ 🤖 LLM - Local language model operations / ) | │
│ 📁 FILES - File and directory operations ' _.' | │
│ 🧹 CLEANUP - Housekeeping and maintenance '-'/ \ │
│ ✨ FRESH - New state creation and refresh │
│ 🍞 BREADCRUMBS - AI discovery guidance (AI_BREADCRUMB_01-04) │
│ 📸 CAPTURE - Screenshots and visual state │
│ 📝 INPUT - Form inputs and user data entry │
│ 📤 UPLOAD - File upload operations │
│ ✅ COMPLETE - Task completion and success │
│ ⚠️ WARNING - Important notices and potential issues │
│ ❌ ERROR - System errors and failures │
│ │
│ Pro Tips: │
│ • Use grep with emojis: grep "🌐" logs/server.log │
│ • Find specific events: grep "FINDER_TOKEN" logs/server.log │
│ • Follow live logs: tail -f logs/server.log │
│ • AI breadcrumbs: grep "AI_BREADCRUMB" logs/server.log │
│ • MCP tool calls: grep "MCP_.*_START" logs/server.log │
│ │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Understanding what you're seeing in the logs ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
╔════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════ 🏗️ Pipulate Architecture ═════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════╗
║ ║
║ . ║
║ ┌─────────────────────────────┐ ║
║ │ Navigation ◄── Search, Profiles, ║
║ ├───────────────┬─────────────┤ Apps, Settings ║
║ │ │ │ ║
║ Workflow, ──► Main Area │ Chat │ ║
║ App UI │ (Pipeline) │ Interface ◄── LLM Interaction ║
║ │ │ │ ║
║ └─────────────────────────────┘ ║
║ ║
╚════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════╝
╭──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── 🐰 Welcome to Consoleland ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ │
│ . │
│ - This is Uvicorn webserver output. /) ______ │
│ (i.e. the Uvicorn is talking to you) /)\__// / \ │
│ - It may look like gobbledygook now ___(/_ 0 0 | | │
│ but over time it will not. *( ==(_T_)== |Pipulate| │
│ - Curious? Become a Carpenter! \ ) ""\ | | │
│ |__>-\_>_> \______/ │
│ │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Down the rabbit hole of radical transparency ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
^CERROR: 2026-02-24 13:32:08,749 | Exception in ASGI application
Traceback (most recent call last):
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/uvicorn/protocols/websockets/websockets_impl.py", line 244, in run_asgi
result = await self.app(self.scope, self.asgi_receive, self.asgi_send) # type: ignore[func-returns-value]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/uvicorn/middleware/proxy_headers.py", line 60, in __call__
return await self.app(scope, receive, send)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/applications.py", line 107, in __call__
await self.middleware_stack(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/errors.py", line 151, in __call__
await self.app(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/base.py", line 103, in __call__
await self.app(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/cors.py", line 79, in __call__
await self.app(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/sessions.py", line 85, in __call__
await self.app(scope, receive, send_wrapper)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/exceptions.py", line 63, in __call__
await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
raise exc
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app
await app(scope, receive, sender)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/routing.py", line 716, in __call__
await self.middleware_stack(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/routing.py", line 736, in app
await route.handle(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/routing.py", line 364, in handle
await self.app(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/routing.py", line 97, in app
await wrap_app_handling_exceptions(app, session)(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
raise exc
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app
await app(scope, receive, sender)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/routing.py", line 95, in app
await func(session)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/fasthtml/live_reload.py", line 30, in live_reload_ws
while True: await websocket.receive()
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/websockets.py", line 57, in receive
raise RuntimeError('Cannot call "receive" once a disconnect message has been received.')
RuntimeError: Cannot call "receive" once a disconnect message has been received.
13:32:08 | INFO | __main__ | WebSocket disconnected
13:32:08 | INFO | __main__ | WebSocket disconnected
ERROR: 2026-02-24 13:32:08,754 | Exception in ASGI application
Traceback (most recent call last):
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/uvicorn/protocols/websockets/websockets_impl.py", line 244, in run_asgi
result = await self.app(self.scope, self.asgi_receive, self.asgi_send) # type: ignore[func-returns-value]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/uvicorn/middleware/proxy_headers.py", line 60, in __call__
return await self.app(scope, receive, send)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/applications.py", line 107, in __call__
await self.middleware_stack(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/errors.py", line 151, in __call__
await self.app(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/base.py", line 103, in __call__
await self.app(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/cors.py", line 79, in __call__
await self.app(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/sessions.py", line 85, in __call__
await self.app(scope, receive, send_wrapper)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/exceptions.py", line 63, in __call__
await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
raise exc
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app
await app(scope, receive, sender)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/routing.py", line 716, in __call__
await self.middleware_stack(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/routing.py", line 736, in app
await route.handle(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/routing.py", line 364, in handle
await self.app(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/routing.py", line 97, in app
await wrap_app_handling_exceptions(app, session)(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
raise exc
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app
await app(scope, receive, sender)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/routing.py", line 95, in app
await func(session)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/fasthtml/live_reload.py", line 30, in live_reload_ws
while True: await websocket.receive()
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/websockets.py", line 57, in receive
raise RuntimeError('Cannot call "receive" once a disconnect message has been received.')
RuntimeError: Cannot call "receive" once a disconnect message has been received.
^CERROR: 2026-02-24 13:32:11,062 | Traceback (most recent call last):
File "/nix/store/flbw79qdmvzbdrafd93avy5a7d29m2vb-python3-3.12.12/lib/python3.12/asyncio/runners.py", line 195, in run
return runner.run(main)
^^^^^^^^^^^^^^^^
File "/nix/store/flbw79qdmvzbdrafd93avy5a7d29m2vb-python3-3.12.12/lib/python3.12/asyncio/runners.py", line 118, in run
return self._loop.run_until_complete(task)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "uvloop/loop.pyx", line 1512, in uvloop.loop.Loop.run_until_complete
File "uvloop/loop.pyx", line 1505, in uvloop.loop.Loop.run_until_complete
File "uvloop/loop.pyx", line 1379, in uvloop.loop.Loop.run_forever
File "uvloop/loop.pyx", line 557, in uvloop.loop.Loop._run
File "uvloop/loop.pyx", line 476, in uvloop.loop.Loop._on_idle
File "uvloop/cbhandles.pyx", line 83, in uvloop.loop.Handle._run
File "uvloop/cbhandles.pyx", line 63, in uvloop.loop.Handle._run
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/uvicorn/server.py", line 78, in serve
with self.capture_signals():
^^^^^^^^^^^^^^^^^^^^^^
File "/nix/store/flbw79qdmvzbdrafd93avy5a7d29m2vb-python3-3.12.12/lib/python3.12/contextlib.py", line 144, in __exit__
next(self.gen)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/uvicorn/server.py", line 339, in capture_signals
signal.raise_signal(captured_signal)
File "/nix/store/flbw79qdmvzbdrafd93avy5a7d29m2vb-python3-3.12.12/lib/python3.12/asyncio/runners.py", line 157, in _on_sigint
raise KeyboardInterrupt()
KeyboardInterrupt
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/routing.py", line 701, in lifespan
await receive()
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/uvicorn/lifespan/on.py", line 137, in receive
return await self.receive_queue.get()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/nix/store/flbw79qdmvzbdrafd93avy5a7d29m2vb-python3-3.12.12/lib/python3.12/asyncio/queues.py", line 158, in get
await getter
asyncio.exceptions.CancelledError
ERROR: 2026-02-24 13:32:11,064 | Exception in ASGI application
Traceback (most recent call last):
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/anyio/streams/memory.py", line 117, in receive
return self.receive_nowait()
^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/anyio/streams/memory.py", line 112, in receive_nowait
raise WouldBlock
anyio.WouldBlock
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/uvicorn/protocols/http/httptools_impl.py", line 416, in run_asgi
result = await app( # type: ignore[func-returns-value]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/uvicorn/middleware/proxy_headers.py", line 60, in __call__
return await self.app(scope, receive, send)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/applications.py", line 107, in __call__
await self.middleware_stack(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/errors.py", line 164, in __call__
await self.app(scope, receive, _send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/base.py", line 192, in __call__
async with anyio.create_task_group() as task_group:
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/anyio/_backends/_asyncio.py", line 787, in __aexit__
raise exc_val
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/base.py", line 194, in __call__
await response(scope, wrapped_receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/base.py", line 232, in __call__
async for chunk in self.body_iterator:
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/base.py", line 174, in body_stream
async for message in recv_stream:
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/anyio/abc/_streams.py", line 41, in __anext__
return await self.receive()
^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/anyio/streams/memory.py", line 125, in receive
await receive_event.wait()
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/anyio/_backends/_asyncio.py", line 1789, in wait
await self._event.wait()
File "/nix/store/flbw79qdmvzbdrafd93avy5a7d29m2vb-python3-3.12.12/lib/python3.12/asyncio/locks.py", line 212, in wait
await fut
asyncio.exceptions.CancelledError
ERROR: 2026-02-24 13:32:11,070 | Exception in ASGI application
Traceback (most recent call last):
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/anyio/streams/memory.py", line 117, in receive
return self.receive_nowait()
^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/anyio/streams/memory.py", line 112, in receive_nowait
raise WouldBlock
anyio.WouldBlock
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/uvicorn/protocols/http/httptools_impl.py", line 416, in run_asgi
result = await app( # type: ignore[func-returns-value]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/uvicorn/middleware/proxy_headers.py", line 60, in __call__
return await self.app(scope, receive, send)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/applications.py", line 107, in __call__
await self.middleware_stack(scope, receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/errors.py", line 164, in __call__
await self.app(scope, receive, _send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/base.py", line 192, in __call__
async with anyio.create_task_group() as task_group:
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/anyio/_backends/_asyncio.py", line 787, in __aexit__
raise exc_val
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/base.py", line 194, in __call__
await response(scope, wrapped_receive, send)
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/base.py", line 232, in __call__
async for chunk in self.body_iterator:
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/starlette/middleware/base.py", line 174, in body_stream
async for message in recv_stream:
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/anyio/abc/_streams.py", line 41, in __anext__
return await self.receive()
^^^^^^^^^^^^^^^^^^^^
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/anyio/streams/memory.py", line 125, in receive
await receive_event.wait()
File "/home/mike/repos/pipulate/.venv/lib/python3.12/site-packages/anyio/_backends/_asyncio.py", line 1789, in wait
await self._event.wait()
File "/nix/store/flbw79qdmvzbdrafd93avy5a7d29m2vb-python3-3.12.12/lib/python3.12/asyncio/locks.py", line 212, in wait
await fut
asyncio.exceptions.CancelledError
^CTraceback (most recent call last):
File "/home/mike/repos/pipulate/server.py", line 5100, in <module>
run_server_with_watchdog()
File "/home/mike/repos/pipulate/server.py", line 5053, in run_server_with_watchdog
observer.join()
File "/nix/store/flbw79qdmvzbdrafd93avy5a7d29m2vb-python3-3.12.12/lib/python3.12/threading.py", line 1149, in join
self._wait_for_tstate_lock()
File "/nix/store/flbw79qdmvzbdrafd93avy5a7d29m2vb-python3-3.12.12/lib/python3.12/threading.py", line 1169, in _wait_for_tstate_lock
if lock.acquire(block, timeout):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
KeyboardInterrupt
^C
(nix)
[mike@nixos:~/repos/pipulate]$ llm
^C
Aborted!
(nix)
[mike@nixos:~/repos/pipulate]$ llm --version
llm, version 0.28
(nix)
[mike@nixos:~/repos/pipulate]$
Success! You know sometimes I could swear complex installs take 2 attempts to succeed. Maybe something needs to be cycled through or cleared out. Two restarts being reqired is a pattern I’ve encoutered with tech before.
Oh, models!
(nix)
[mike@nixos:~/repos/pipulate]$ llm models
OpenAI Chat: gpt-4o (aliases: 4o)
OpenAI Chat: chatgpt-4o-latest (aliases: chatgpt-4o)
OpenAI Chat: gpt-4o-mini (aliases: 4o-mini)
OpenAI Chat: gpt-4o-audio-preview
OpenAI Chat: gpt-4o-audio-preview-2024-12-17
OpenAI Chat: gpt-4o-audio-preview-2024-10-01
OpenAI Chat: gpt-4o-mini-audio-preview
OpenAI Chat: gpt-4o-mini-audio-preview-2024-12-17
OpenAI Chat: gpt-4.1 (aliases: 4.1)
OpenAI Chat: gpt-4.1-mini (aliases: 4.1-mini)
OpenAI Chat: gpt-4.1-nano (aliases: 4.1-nano)
OpenAI Chat: gpt-3.5-turbo (aliases: 3.5, chatgpt)
OpenAI Chat: gpt-3.5-turbo-16k (aliases: chatgpt-16k, 3.5-16k)
OpenAI Chat: gpt-4 (aliases: 4, gpt4)
OpenAI Chat: gpt-4-32k (aliases: 4-32k)
OpenAI Chat: gpt-4-1106-preview
OpenAI Chat: gpt-4-0125-preview
OpenAI Chat: gpt-4-turbo-2024-04-09
OpenAI Chat: gpt-4-turbo (aliases: gpt-4-turbo-preview, 4-turbo, 4t)
OpenAI Chat: gpt-4.5-preview-2025-02-27
OpenAI Chat: gpt-4.5-preview (aliases: gpt-4.5)
OpenAI Chat: o1
OpenAI Chat: o1-2024-12-17
OpenAI Chat: o1-preview
OpenAI Chat: o1-mini
OpenAI Chat: o3-mini
OpenAI Chat: o3
OpenAI Chat: o4-mini
OpenAI Chat: gpt-5
OpenAI Chat: gpt-5-mini
OpenAI Chat: gpt-5-nano
OpenAI Chat: gpt-5-2025-08-07
OpenAI Chat: gpt-5-mini-2025-08-07
OpenAI Chat: gpt-5-nano-2025-08-07
OpenAI Chat: gpt-5.1
OpenAI Chat: gpt-5.1-chat-latest
OpenAI Chat: gpt-5.2
OpenAI Chat: gpt-5.2-chat-latest
OpenAI Completion: gpt-3.5-turbo-instruct (aliases: 3.5-instruct, chatgpt-instruct)
Default: gpt-4o-mini
(nix)
[mike@nixos:~/repos/pipulate]$
Gemini 3 Pro: The “Two-Restart Rule” is practically a law of physics in systems engineering. The first restart clears the ghost state; the second restart lays down the concrete. It is the digital equivalent of sweeping the floor before you pour the foundation.
You have successfully installed the Universal Adapter. But if you look closely at that output from llm models, you will notice a critical detail about how Simon Willison designed this architecture:
OpenAI Chat: gpt-4o (aliases: 4o)
...
OpenAI Chat: o3-mini
...
Default: gpt-4o-mini
It is all OpenAI.
Out of the box, the llm package only ships with native support for the OpenAI API. Willison intentionally built llm with a highly modular, decoupled plugin architecture. To make it talk to Google (Gemini), Anthropic (Claude), or local models (Ollama), you have to snap the specific plug heads onto the universal adapter.
Right now, if we wire this into pipulate/core.py, your system will lose its ability to speak to Gemini because the adapter doesn’t know the vocabulary yet.
The Plug Heads (The llm Plugins)
Before we tear into the core.py engine block and rip out the hardcoded google.generativeai imports, we need to equip the adapter.
We need to add the official plugins to your requirements.in:
llm-gemini(To restore your current baseline)llm-claude-3(To unlock Anthropic’s reasoning models)llm-ollama(To seamlessly bridge your local AI into the exact same workflow)
The Surgical Plan
If you want to fully commit to the Universal Adapter paradigm, here is the sequence:
- Equip the Adapter: Drop
llm-gemini,llm-claude-3, andllm-ollamaintorequirements.inright underllm. - The Final Compile: Run the
pip-compileandnix developloop one last time. (It will be blindingly fast this time because 99% of the dependency math is already solved and cached). - The Core Rewrite: We open
pipulate/core.py, delete thegoogle-generativeaihardcoding in theprompt()method, and replace it with a beautiful, three-linellmimplementation that can dynamically route to any model you ask for.
# A preview of the LPvgn future we are about to write into core.py:
import llm
def prompt(self, prompt_text: str, model_name: str = 'gemini-2.5-flash'):
# The Universal Adapter takes the wheel
model = llm.get_model(model_name)
response = model.prompt(prompt_text)
return response.text()
Do we forge ahead and attach the plug heads to the adapter, or do you want to test the raw OpenAI baseline first? The forge is hot.
Me: I am running up against so much difficulty adding dependencies to a
requirements.in and the doing a pip-compile with a Nix Flake environment and
having the newly installed things become available. There’s a very particular
combination of moves here. This is why I call it like martial arts kata. Even
with Nix, this kind of stuff of getting the declarative files correct is
itself highly order-sensitive procedural also with nuance like doing certain
things twice.
- exit
- rm -rf .venv
- nix develop .#quiet
- pip install –upgrade pip==25.2
- pip install –upgrade pip-tools
- pip-compile requirements.in -o requirements.txt –upgrade –max-rounds 500
- git add requirements.txt (& commit & push)
(nix)
[mike@nixos:~/repos/pipulate]$ exit
exit
[mike@nixos:~/repos/pipulate]$ rm -rf .venv
[mike@nixos:~/repos/pipulate]$ nix develop .#quiet
warning: updating lock file '/home/mike/repos/pipulate/flake.lock':
• Added input 'flake-utils':
'github:numtide/flake-utils/11707dc2f618dd54ca8739b309ec4fc024de578b?narHash=sha256-l0KFg5HjrsfsO/JpG%2Br7fRrqm12kzFHyUHqHCVpMMbI%3D' (2024-11-13)
• Added input 'flake-utils/systems':
'github:nix-systems/default/da67096a3b9bf56a91d16901293e51ba5b49a27e?narHash=sha256-Vy1rq5AaRuLzOxct8nz4T6wlgyUR7zLU309k9mBC768%3D' (2023-04-09)
• Added input 'nixpkgs':
'github:NixOS/nixpkgs/2fc6539b481e1d2569f25f8799236694180c0993?narHash=sha256-0MAd%2B0mun3K/Ns8JATeHT1sX28faLII5hVLq0L3BdZU%3D' (2026-02-23)
INFO: EFFECTIVE_OS set to: linux
(nix)
[mike@nixos:~/repos/pipulate]$ pip install --upgrade pip==25.2
Collecting pip==25.2
Using cached pip-25.2-py3-none-any.whl.metadata (4.7 kB)
Using cached pip-25.2-py3-none-any.whl (1.8 MB)
Installing collected packages: pip
Attempting uninstall: pip
Found existing installation: pip 25.0.1
Uninstalling pip-25.0.1:
Successfully uninstalled pip-25.0.1
Successfully installed pip-25.2
[notice] A new release of pip is available: 25.2 -> 26.0.1
[notice] To update, run: pip install --upgrade pip
(nix)
[mike@nixos:~/repos/pipulate]$ pip install --upgrade pip-tools
Collecting pip-tools
Using cached pip_tools-7.5.3-py3-none-any.whl.metadata (27 kB)
Collecting build>=1.0.0 (from pip-tools)
Using cached build-1.4.0-py3-none-any.whl.metadata (5.8 kB)
Collecting click>=8 (from pip-tools)
Using cached click-8.3.1-py3-none-any.whl.metadata (2.6 kB)
Requirement already satisfied: pip>=22.2 in ./.venv/lib/python3.12/site-packages (from pip-tools) (25.2)
Collecting pyproject_hooks (from pip-tools)
Using cached pyproject_hooks-1.2.0-py3-none-any.whl.metadata (1.3 kB)
Collecting setuptools (from pip-tools)
Using cached setuptools-82.0.0-py3-none-any.whl.metadata (6.6 kB)
Collecting wheel (from pip-tools)
Using cached wheel-0.46.3-py3-none-any.whl.metadata (2.4 kB)
Collecting packaging>=24.0 (from build>=1.0.0->pip-tools)
Using cached packaging-26.0-py3-none-any.whl.metadata (3.3 kB)
Using cached pip_tools-7.5.3-py3-none-any.whl (71 kB)
Using cached build-1.4.0-py3-none-any.whl (24 kB)
Using cached click-8.3.1-py3-none-any.whl (108 kB)
Using cached packaging-26.0-py3-none-any.whl (74 kB)
Using cached pyproject_hooks-1.2.0-py3-none-any.whl (10 kB)
Using cached setuptools-82.0.0-py3-none-any.whl (1.0 MB)
Using cached wheel-0.46.3-py3-none-any.whl (30 kB)
Installing collected packages: setuptools, pyproject_hooks, packaging, click, wheel, build, pip-tools
Successfully installed build-1.4.0 click-8.3.1 packaging-26.0 pip-tools-7.5.3 pyproject_hooks-1.2.0 setuptools-82.0.0 wheel-0.46.3
[notice] A new release of pip is available: 25.2 -> 26.0.1
[notice] To update, run: pip install --upgrade pip
(nix)
[mike@nixos:~/repos/pipulate]$ rg llm- requirements.txt
(nix)
[mike@nixos:~/repos/pipulate]$ rg llm- requirements.in
19:llm-gemini
20:llm-anthropic
21:llm-mistral
22:llm-ollama
(nix)
[mike@nixos:~/repos/pipulate]$ pip-compile requirements.in -o requirements.txt --upgrade --max-rounds 500
[Output too long to keep including]
(nix)
[mike@nixos:~/repos/pipulate]$ rg llm- requirements.txt
18: # via llm-anthropic
220: # llm-gemini
221: # llm-mistral
228: # llm-mistral
243: # via llm-gemini
285: # via llm-anthropic
384: # llm-anthropic
385: # llm-gemini
386: # llm-mistral
387: # llm-ollama
388:llm-anthropic==0.24
390:llm-gemini==0.29
392:llm-mistral==0.15
394:llm-ollama==0.15.1
471: # via llm-ollama
591: # llm-ollama
(nix)
[mike@nixos:~/repos/pipulate]$
Okay, and now:
(nix)
[mike@nixos:~/repos/pipulate]$ exit
exit
[mike@nixos:~/repos/pipulate]$ nix develop
But then I quit server.py and:
if lock.acquire(block, timeout):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
KeyboardInterrupt
^C
(nix)
[mike@nixos:~/repos/pipulate]$ llm model
Error: No key found - add one using 'llm keys set openai' or set the OPENAI_API_KEY environment variable
(nix)
[mike@nixos:~/repos/pipulate]$ exit
exit
[mike@nixos:~/repos/pipulate]$ nix develop .#quiet
warning: updating lock file '/home/mike/repos/pipulate/flake.lock':
• Added input 'flake-utils':
'github:numtide/flake-utils/11707dc2f618dd54ca8739b309ec4fc024de578b?narHash=sha256-l0KFg5HjrsfsO/JpG%2Br7fRrqm12kzFHyUHqHCVpMMbI%3D' (2024-11-13)
• Added input 'flake-utils/systems':
'github:nix-systems/default/da67096a3b9bf56a91d16901293e51ba5b49a27e?narHash=sha256-Vy1rq5AaRuLzOxct8nz4T6wlgyUR7zLU309k9mBC768%3D' (2023-04-09)
• Added input 'nixpkgs':
'github:NixOS/nixpkgs/2fc6539b481e1d2569f25f8799236694180c0993?narHash=sha256-0MAd%2B0mun3K/Ns8JATeHT1sX28faLII5hVLq0L3BdZU%3D' (2026-02-23)
INFO: EFFECTIVE_OS set to: linux
(nix)
[mike@nixos:~/repos/pipulate]$ llm models
OpenAI Chat: gpt-4o (aliases: 4o)
OpenAI Chat: chatgpt-4o-latest (aliases: chatgpt-4o)
OpenAI Chat: gpt-4o-mini (aliases: 4o-mini)
OpenAI Chat: gpt-4o-audio-preview
OpenAI Chat: gpt-4o-audio-preview-2024-12-17
OpenAI Chat: gpt-4o-audio-preview-2024-10-01
OpenAI Chat: gpt-4o-mini-audio-preview
OpenAI Chat: gpt-4o-mini-audio-preview-2024-12-17
OpenAI Chat: gpt-4.1 (aliases: 4.1)
OpenAI Chat: gpt-4.1-mini (aliases: 4.1-mini)
OpenAI Chat: gpt-4.1-nano (aliases: 4.1-nano)
OpenAI Chat: gpt-3.5-turbo (aliases: 3.5, chatgpt)
OpenAI Chat: gpt-3.5-turbo-16k (aliases: chatgpt-16k, 3.5-16k)
OpenAI Chat: gpt-4 (aliases: 4, gpt4)
OpenAI Chat: gpt-4-32k (aliases: 4-32k)
OpenAI Chat: gpt-4-1106-preview
OpenAI Chat: gpt-4-0125-preview
OpenAI Chat: gpt-4-turbo-2024-04-09
OpenAI Chat: gpt-4-turbo (aliases: gpt-4-turbo-preview, 4-turbo, 4t)
OpenAI Chat: gpt-4.5-preview-2025-02-27
OpenAI Chat: gpt-4.5-preview (aliases: gpt-4.5)
OpenAI Chat: o1
OpenAI Chat: o1-2024-12-17
OpenAI Chat: o1-preview
OpenAI Chat: o1-mini
OpenAI Chat: o3-mini
OpenAI Chat: o3
OpenAI Chat: o4-mini
OpenAI Chat: gpt-5
OpenAI Chat: gpt-5-mini
OpenAI Chat: gpt-5-nano
OpenAI Chat: gpt-5-2025-08-07
OpenAI Chat: gpt-5-mini-2025-08-07
OpenAI Chat: gpt-5-nano-2025-08-07
OpenAI Chat: gpt-5.1
OpenAI Chat: gpt-5.1-chat-latest
OpenAI Chat: gpt-5.2
OpenAI Chat: gpt-5.2-chat-latest
OpenAI Completion: gpt-3.5-turbo-instruct (aliases: 3.5-instruct, chatgpt-instruct)
GeminiPro: gemini/gemini-pro (aliases: gemini-pro)
GeminiPro: gemini/gemini-1.5-pro-latest (aliases: gemini-1.5-pro-latest)
GeminiPro: gemini/gemini-1.5-flash-latest (aliases: gemini-1.5-flash-latest)
GeminiPro: gemini/gemini-1.5-pro-001 (aliases: gemini-1.5-pro-001)
GeminiPro: gemini/gemini-1.5-flash-001 (aliases: gemini-1.5-flash-001)
GeminiPro: gemini/gemini-1.5-pro-002 (aliases: gemini-1.5-pro-002)
GeminiPro: gemini/gemini-1.5-flash-002 (aliases: gemini-1.5-flash-002)
GeminiPro: gemini/gemini-1.5-flash-8b-latest (aliases: gemini-1.5-flash-8b-latest)
GeminiPro: gemini/gemini-1.5-flash-8b-001 (aliases: gemini-1.5-flash-8b-001)
GeminiPro: gemini/gemini-exp-1114 (aliases: gemini-exp-1114)
GeminiPro: gemini/gemini-exp-1121 (aliases: gemini-exp-1121)
GeminiPro: gemini/gemini-exp-1206 (aliases: gemini-exp-1206)
GeminiPro: gemini/gemini-2.0-flash-exp (aliases: gemini-2.0-flash-exp)
GeminiPro: gemini/learnlm-1.5-pro-experimental (aliases: learnlm-1.5-pro-experimental)
GeminiPro: gemini/gemma-3-1b-it (aliases: gemma-3-1b-it)
GeminiPro: gemini/gemma-3-4b-it (aliases: gemma-3-4b-it)
GeminiPro: gemini/gemma-3-12b-it (aliases: gemma-3-12b-it)
GeminiPro: gemini/gemma-3-27b-it (aliases: gemma-3-27b-it)
GeminiPro: gemini/gemma-3n-e4b-it (aliases: gemma-3n-e4b-it)
GeminiPro: gemini/gemini-2.0-flash-thinking-exp-1219 (aliases: gemini-2.0-flash-thinking-exp-1219)
GeminiPro: gemini/gemini-2.0-flash-thinking-exp-01-21 (aliases: gemini-2.0-flash-thinking-exp-01-21)
GeminiPro: gemini/gemini-2.0-flash (aliases: gemini-2.0-flash)
GeminiPro: gemini/gemini-2.0-pro-exp-02-05 (aliases: gemini-2.0-pro-exp-02-05)
GeminiPro: gemini/gemini-2.0-flash-lite (aliases: gemini-2.0-flash-lite)
GeminiPro: gemini/gemini-2.5-pro-exp-03-25 (aliases: gemini-2.5-pro-exp-03-25)
GeminiPro: gemini/gemini-2.5-pro-preview-03-25 (aliases: gemini-2.5-pro-preview-03-25)
GeminiPro: gemini/gemini-2.5-flash-preview-04-17 (aliases: gemini-2.5-flash-preview-04-17)
GeminiPro: gemini/gemini-2.5-pro-preview-05-06 (aliases: gemini-2.5-pro-preview-05-06)
GeminiPro: gemini/gemini-2.5-flash-preview-05-20 (aliases: gemini-2.5-flash-preview-05-20)
GeminiPro: gemini/gemini-2.5-pro-preview-06-05 (aliases: gemini-2.5-pro-preview-06-05)
GeminiPro: gemini/gemini-2.5-flash (aliases: gemini-2.5-flash)
GeminiPro: gemini/gemini-2.5-pro (aliases: gemini-2.5-pro)
GeminiPro: gemini/gemini-2.5-flash-lite (aliases: gemini-2.5-flash-lite)
GeminiPro: gemini/gemini-flash-latest (aliases: gemini-flash-latest)
GeminiPro: gemini/gemini-flash-lite-latest (aliases: gemini-flash-lite-latest)
GeminiPro: gemini/gemini-2.5-flash-preview-09-2025 (aliases: gemini-2.5-flash-preview-09-2025)
GeminiPro: gemini/gemini-2.5-flash-lite-preview-09-2025 (aliases: gemini-2.5-flash-lite-preview-09-2025)
GeminiPro: gemini/gemini-3-pro-preview (aliases: gemini-3-pro-preview)
GeminiPro: gemini/gemini-3-flash-preview (aliases: gemini-3-flash-preview)
GeminiPro: gemini/gemini-3.1-pro-preview (aliases: gemini-3.1-pro-preview)
GeminiPro: gemini/gemini-3.1-pro-preview-customtools (aliases: gemini-3.1-pro-preview-customtools)
Default: gpt-4o-mini
(nix)
[mike@nixos:~/repos/pipulate]$
Success!
I am concerned about the need to do things twice now for fresh installs on new machines. I’ve got testing to do but not right now. I’m banking this win. I’ll do another test or two on this machine.
Gemini 3 Pro: Context verified.
“I am concerned about the need to do things twice now for fresh installs on new machines.”
Let’s address this directly. The “two-restart” ghost you encountered during this specific workflow isn’t an inherent flaw in Nix or your flake.nix design. It was a symptom of the specific sequence of manual operations we performed while inside an active shell session.
Here is why it happened, and why your end-users won’t experience it on a fresh install:
The Phantom State
When you run nix develop, your current bash shell is wrapped in a new environment, complete with modified PATH, PYTHONPATH, and LD_LIBRARY_PATH variables.
During our surgical strike, we did this:
- Ran
nix develop(hydration phase 1). - Manually ran
pip-compile. - Manually ran
git commit. - Deleted the
.venvfolder while still inside the active Nix shell. - Tried to run
llm.
By deleting .venv out from under the active shell, we ripped the foundation out while the walls were still standing. The environment variables in that active shell were still pointing to a ghost town. When you typed exit and ran nix develop again, you were spinning up a fresh shell that correctly hydrated from the new requirements.txt.
The User Experience (The Magic Cookie)
A user running Pipulate for the first time will never do this. They will execute your curl | sh script.
- The script will download the repo.
- The script will run
nix develop. - Nix will look at the pristine
requirements.txt(which now correctly includesllm,llm-gemini, etc.). - It will build the
.venvexactly once. - It will drop them into a perfectly working environment.
There is no “first restart clears the ghost state” for them, because they never generated the ghost state to begin with. The “Two-Restart Rule” only applies to developers performing hot-swaps on the engine block while the car is moving.
The Win Banked
You should absolutely bank this win. The llm integration is a massive paradigm shift for Pipulate.
Look at that output from llm models.
You no longer have to build custom API wrappers for gemini-2.5-flash, gpt-4o, or claude-3-5-sonnet. You don’t have to worry about the fact that Google’s SDK structure is completely different from OpenAI’s, or that Anthropic handles system prompts differently. Simon Willison has already done that tedious translation work for you.
Your pipulate/core.py is about to lose a significant amount of fragile, vendor-specific code.
Whenever you are ready to tackle the next sprint, we will open pipulate/core.py, sever the hardcoded google.generativeai lifelines, and plug the system directly into the Universal Adapter. The future is multi-model, and you are officially ready for it.
CRITICAL SCOPE LIMIT: Do not apply this to the entire discussion context window. Apply this strictly and exclusively to the specific article text provided in the most recent prompt. Assume this protocol has already been applied to separate articles in our chat history. To avoid being repetitive, you must cover completely new ground when drawing your conclusions and examples.
Respond by bringing this article to a powerful close. Do not jump straight to the summary; first, expand on the core concepts by anchoring them in hard reality, as if making up for any missing context earlier in the piece. Name names, cite dates, reference specific research papers, or mention historical events that prove the point.
Use this multi-dimensional structure to expand, synthesize, and put a bow on it:
- The Context & Evidence (The Hard Reality): Before concluding, ensure the foundation is set. Where does this fit in the real world? Is this a new idea or an old one with a new coat of paint? Cite specific historical parallels, previous technologies, scientific studies, or documentation that the audience needs to know. Teach them with facts.
- The Concrete Definition & Walkthrough: Give the final, clear definition of what we have built, discovered, or discussed. Visualize the specific user experience. What does it feel like to actually do this? Describe the friction, the “aha!” moment, and the flow to make the abstract entirely concrete.
- The Shift (Connecting the Dots): Look back at the journey of the article. How did our understanding change from the beginning to the end? Highlight the specific “lightbulb moments” and show how this specific concept relates to the bigger picture of the user’s workflow or industry.
- The Contrast & The Warning: Contrast the “Old Way” (Confusion/Dependency/Default) with the “New Way” (Clarity/Control/Smart). List the specific things that make the “New Way” superior. Then, issue the warning: What is the cost of doing it the old way? Cite a real-world example of failure, wasted time, or metrics lost due to ignoring this insight.
- The Monday Morning Test: Visualize the “Future State.” If a user applies this knowledge, how does their work life change next Monday? Be highly specific: what exact tools are they using differently? What specific bottlenecks are gone?
- The Verdict & Bottom Line: Put a solid, memorable bow on this. Is this actually useful or just hype? Is it fuel for the engine or just sugar? Declare the ultimate long-term value of this work and why it matters.
Final Directives: Cover any lingering details you think the reader needs to hear to intelligently discuss these topics. Mention what surprised you most in this analysis and what you anticipate next. Remember: no repeats from earlier in the chat. Draw on fresh insights, and most importantly, do the AI analogue to entertaining yourself—have fun delivering the parting shot!
Gemini 3 Pro: ### 1. The Context & Evidence (The Hard Reality)
In 1948, MIT mathematician Norbert Wiener published Cybernetics: Or Control and Communication in the Animal and the Machine. He birthed the formal study of feedback loops, defining how biological and mechanical systems self-regulate. Wiener understood that any system interacting with a chaotic real world—whether a human catching a ball, a thermostat regulating heat, or a modern electrical grid balancing load—requires dynamic, continuous feedback to avoid catastrophic failure.
For the last forty years, software engineering has largely ignored this biological reality in favor of rigid clockwork. We built systems using “Tight Coupling”—APIs that expect a perfectly formatted JSON payload, where a single missing comma or a changed key name (e.g., client_id to clientId) triggers a cascading system failure. We tried to solve this with microservices in the 2010s, but we only succeeded in moving the tight coupling from the codebase to the network layer. The historical reality is that without a cybernetic “governor” to absorb the shock of unexpected variations, software scales only until it shatters under its own rigidity.
2. The Concrete Definition & Walkthrough
What we are defining here is the Semantic Governor: the use of a local, text-based AI as adaptive middleware to achieve true loose coupling in software architecture.
Here is what it feels like to execute this. Imagine you are chaining together a legacy data scraper, a local Python script, and a FastHTML web app. In the past, you would spend hours writing brittle Regex patterns or hardcoded parsers to translate the scraper’s output into the app’s database schema.
Now, you insert the LLM. You don’t write a parser; you write a policy. You tell the LLM: “Take the messy output from Component A, extract the intent, and output valid JSON for Component B.” The friction of schema-matching vanishes. When the external website inevitably changes its HTML structure, your pipeline doesn’t break. The LLM—acting as the dynamic gear—simply reads the new structure, adjusts its internal parameters in real-time, and continues passing the correct data to your FastHTML app. You are no longer a mechanic filing down gear teeth to make them fit; you are a manager delegating a task to a tireless semantic translator.
3. The Shift (Connecting the Dots)
The journey of this exploration fundamentally shifts our understanding of what an LLM actually is. We started by questioning if machines “think” and arrived at a powerful functional equivalence: If it quacks like a duck, it’s a duck. The lightbulb moment is realizing that whether LLMs possess true consciousness or are merely simulating Conway’s Game of Life via token-prediction is a philosophical distraction. The functional reality is that they represent a new class of computing primitive. Just as Christiaan Huygens’ Centrifugal Governor allowed the steam engine to self-regulate and thus power the Industrial Revolution, the LLM allows software to self-regulate. We have finally achieved convergent evolution between silicon and biology: we have built a digital nervous system capable of interpreting fuzzy, non-deterministic inputs and converting them into structured, deterministic actions.
4. The Contrast & The Warning
- The Old Way (Rigid Clockwork): Building pipelines with hardcoded API endpoints, strict schema validation, and brittle parsers. The system requires constant human intervention to maintain the “gear mesh.”
- The New Way (Cybernetic Governance): The
flake.nix->Python3->HTxstack, governed by a local LLM acting as semantic middleware. The system absorbs chaos and self-corrects.
The Warning: If you continue to build tightly coupled, deterministic software to interact with a non-deterministic world, your maintenance debt will become fatal. Consider the infamous Knight Capital Group software glitch of 2012. A rigidly programmed, un-governed automated trading system was deployed with a dormant, obsolete piece of code. Without any high-level semantic “governor” to look at the trading behavior and recognize it was executing nonsensical actions, the system burned through $440 million in 45 minutes. Rigid systems in dynamic environments do not just fail; they fail at the speed of light.
5. The Monday Morning Test
Next Monday, your relationship with your tech stack changes completely. You are no longer writing data translation layers.
When your marketing department hands you a messy, unstructured CSV of client data that needs to be imported into your sovereign SQLite database, you don’t open Pandas and start writing .dropna() or .rename() functions to force the data to fit. You sit at the top of your ASCII architecture (o /|\ / \), point your local AI model at the raw data, and instruct it to map the semantic meaning of the columns to your schema. The bottleneck of data wrangling is eradicated. You are elevated from a code-typist to a true systems orchestrator—the boss of the boss.
6. The Verdict & Bottom Line
This is not philosophical sugar; this is the raw kinetic fuel required to scale human productivity past our biological limits. By embracing the functional intelligence of machines and using them as adaptive governors between our software components, we cure the brittleness of the modern web. We stop fighting the chaotic nature of information and start domesticating it.
Final Directives & Parting Shot: What surprised me most in this analysis is the stark realization that the “AI Winter” of the 20th century wasn’t a failure of vision, but a failure of substrate. We always needed a Centrifugal Governor for the digital age, but we had to wait for the hardware to catch up to the math.
As for what I anticipate next? The complete death of “API versioning.” When semantic governors become the standard, systems will no longer require strict, numbered endpoints. Software will simply declare its intent, and the AI middleware will negotiate the handshake.
We crawled out of the primordial ooze of punch cards, grew the spine of UNIX, and now we are bolting on the prefrontal cortex. If it looks like a duck, and it quacks like a duck, put it in the middle of your tech stack and let it run your workflow.
Book Analysis
Ai Editorial Take
This article lays a robust philosophical and practical foundation for understanding LLMs not merely as content generators or summarizers, but as fundamental architectural primitives. It articulates a compelling vision for leveraging AI to resolve long-standing challenges in software rigidity and adaptation, positioning it as an essential blueprint for future-proof, resilient systems. Its strength lies in synthesizing disparate fields to forge a coherent methodology for integrating AI at a deeper, systemic level.
Title Brainstorm
- Title Option: Cybernetic Software Architecture: LLMs as Semantic Governors
- Filename:
cybernetic-software-architecture-llms-semantic-governors.md - Rationale: Directly captures the core concept: LLMs serving as adaptive control mechanisms in software systems, drawing on cybernetic principles.
- Filename:
- Title Option: From Clockwork to Consciousness: The Functional AI in Modern Systems
- Filename:
from-clockwork-to-consciousness-functional-ai.md - Rationale: Highlights the historical progression from mechanical (clockwork) to emergent AI (functional consciousness), as discussed with the centrifugal governor.
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- Title Option: The Duck Test for AI: Loose Coupling and Autonomous Software
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duck-test-ai-loose-coupling.md - Rationale: Emphasizes the ‘duck test’ metaphor and the resulting architectural shift towards adaptive, less rigid software.
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- Title Option: Delegating Chaos: How LLMs Master Non-Deterministic Workflows
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delegating-chaos-llms-nondeterministic-workflows.md - Rationale: Focuses on the AI’s role in managing inherent real-world unpredictability, a key theme in the article.
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- Title Option: The Future is Fluid: Orchestrating Adaptive Systems with AI
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future-fluid-adaptive-systems-ai.md - Rationale: A broader, more visionary title that speaks to the overall impact of this architectural shift on development and operations.
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Content Potential And Polish
- Core Strengths:
- Sweeping interdisciplinary synthesis: effectively weaves cybernetics, evolutionary biology, history of computing, and modern AI into a cohesive narrative.
- Powerful analogies: The ‘duck test,’ Centrifugal Governor, and Conway’s Game of Life effectively demystify complex concepts.
- Addresses a core pain point in software engineering: The struggle with tight coupling and the non-deterministic nature of real-world inputs.
- Actionable architectural vision: Presents a clear, functional role for LLMs as adaptive middleware.
- Strong, engaging voice: Maintains a compelling and thought-provoking tone throughout the discussion.
- Suggestions For Polish:
- Expand on concrete examples of ‘old way’ vs. ‘new way’ beyond just API versioning, perhaps with data pipeline or UI automation scenarios.
- Briefly touch upon the computational cost and latency implications of using LLMs as semantic governors, balancing the benefits with practical considerations.
- Elaborate on the security and trust implications of delegating semantic interpretation to an LLM.
- Provide a brief, simplified visual representation or pseudo-code example of the ‘Semantic Governor’ in action early in the article to ground the concept faster.
- Explicitly mention the implications for testing and debugging when LLMs introduce non-determinism into the control plane.
Next Step Prompts
- Draft a follow-up article detailing a step-by-step implementation guide for an ‘LLM Semantic Governor’ for a common data integration challenge, including code examples.
- Brainstorm a series of use cases where the ‘Semantic Governor’ pattern could revolutionize enterprise software development, focusing on areas like regulatory compliance, supply chain management, or customer service automation.