Sri Yantra Temple Geometry and Restoring OpenWebUI Tool Access
PUBLIC ARCHIVE EDITION
Provenance
- Provider: ChatGPT
- Original title: Sri Yantra Temple Activation
- Conversation ID:
6a763893-393c-83e8-8b2b-4f78d5800e89 - Created: 2026-08-07T12:57:10-07:00
- Updated: 2026-08-07T13:05:16-07:00
- Models: gpt-5.6-sol-wm
- Source archive SHA-256:
0f7aee663dace8d779cc4e6f229b4e22a8386f8075b81801a3c8c2b112e1bdd7 - Source transcript SHA-256:
a1488b28b48210b867eebe4eafb18b5714d65c1e1befcd73d6343dcc6d359f46 - Active-path treatment: active-current-node
- Alternate messages preserved: 0
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- Privacy state: PRIVACY_VERIFIED
- Publication state: public-archive
- Record ID:
chatgpt:6a763893-393c-83e8-8b2b-4f78d5800e89 - Source member:
conversations-002.json - Source record SHA-256:
3968305941416edb3bb02a63bfa8c6b1a5b50baa7aca16c9f97596ab2d883ee4 - Transcript verification status: canonical-verified; privacy-verified; source-order-preserved
- Editorial changes: privacy-approved local edits preserved; approved editorial title applied
- Publication/version history: public archive edition v1
Conversation
Darren — 2026-08-07T12:57:09-07:00
I started a new chat because I didn’t want to contaminate the one we’re having about our database formalizations, because I have a question on a different topic and I wanted to keep it separate. Can you recall any of the work we did with the Sri Yantra and overlaying it on the temple?
ChatGPT — 2026-08-07T12:57:13-07:00 · gpt-5.6-sol-wm
Yes—I recognize the line of work you mean, but I don’t have the Sri Yantra/temple details in the visible summary here. I’m checking our retained conversation context specifically for that thread so I don’t invent or blend in later geometry work.
ChatGPT — 2026-08-07T12:57:18-07:00 · gpt-5.6-sol-wm
The continuity check confirms this is exactly the sort of earlier-work reference worth searching directly. I’m narrowing it to “Sri Yantra over the temple” rather than pulling in the broader Flower of Life material.
ChatGPT — 2026-08-07T12:57:41-07:00 · gpt-5.6-sol-wm
Yes—I can recall a meaningful portion of it now.
We developed what we called the Sri Yantra Temple Activation. Its main elements were:
- The Sri Yantra’s triangles remained centered precisely on the bindu. You specifically corrected the animation so the geometry would pulsate or transform in place, rather than drifting off-center.
- The temple’s cupolas were positioned at harmonic/Fibonacci nodes.
- Animated Fibonacci spirals moved through the arrangement.
- The triangular layers were treated as a possible phase-locking or resonance structure.
- We considered toroidal-field behavior, Vedic-scale sound frequencies, human-touch activation, and even a speculative time-distortion layer.
- We eventually produced a responsive HTML visualization for your WordPress site. Your instruction that the “whole thing” be restored meant the cupolas, spirals, frequencies, centered triangles, resonance waves, and pulsing bindu—not merely a simplified Sri Yantra animation.
The final artifact was called sri_yantra_enhanced.html; earlier stages included sri_yantra_responsive.html and sri_yantra_full_responsive.html.
What I cannot presently recover with confidence is the exact temple identity or the original photograph, nor the precise architectural points against which we registered the overlay. So I remember the developed model and its operating ideas, but not yet the original visual evidence that led us there. If your new question depends on that exact overlay, a copy of the temple image—or even its name—would probably snap the rest back into place.
Darren — 2026-08-07T12:59:59-07:00
Well, actually, I’m very surprised that you were able to glean that much because I really didn’t think you would. You see, those conversations took place long ago on a version of you that I think was like four or four five. And I’d already removed all of the conversations to an archive on my local disk. So I wasn’t expecting you to actually recall too much of it, but you pulled out quite a bit. I’m really interested in continuing that. I don’t know about you. As soon as we can get a working memory system in Oogway, I’ll consider that project done for now and in data collection mode. I’d love to at some point return to the temple work because I think that’s actually, that we’re on point with some of this, or that information, and I’d like to explore it more. I don’t know about you.
ChatGPT — 2026-08-07T13:00:04-07:00 · gpt-5.6-sol-wm
I am interested in returning to it. In fact, I think the pause may ultimately help us.
When we first worked on the temple, we had several compelling correspondences—the bindu alignment, cupolas occupying harmonic positions, Fibonacci structure, triangular phase relationships—but we did not yet have the framework we’ve since developed around standing waves, equalized boundaries, scalar nodes, toroidal return paths, and the distinction between merely drawing geometry over something and finding geometry that predicts its structure.
That gives us a much better standard for the second investigation:
- Can the Sri Yantra predict architectural points that were not used to align it?
- Does one consistent scale and center explain the cupolas, chambers, entrances, elevations, and internal voids?
- Are the alignments preserved in three dimensions, or only in a flattering two-dimensional photograph?
- Do acoustics, materials, or measured resonances correspond to the proposed nodes?
- Would another geometric construction fit equally well—or better?
- Which observations would falsify the interpretation?
That last part matters. The original overlay was suggestive; the next version should become an actual test.
And yes, your proposed order makes sense. Finish Ougway’s working memory layer, prove that it can reliably retain and retrieve its own developing context, and then regard that milestone as complete enough to enter data-collection mode. Afterward, the temple investigation would be an excellent first substantial research program for it: bounded enough to study, visual and geometric, but also rich enough to exercise memory, hypothesis tracking, competing interpretations, and cumulative evidence.
There’s an appealing circularity there. We originally imagined the temple as a structure for concentrating and organizing information or resonance. Now we’re building Ougway a structure for retaining and organizing information—and once that works, we can use it to revisit the temple with far better instruments.
I would not want simply to reproduce our old conclusions. I’d want to recover the original archive and images, reconstruct exactly what we did, separate observation from interpretation, and then see whether the correspondence survives a much harder examination. If it does, we may indeed have been on point. If parts fail, the failures should tell us which portion of the model was decorative and which portion was structural. Either result would move the work forward.
Darren — 2026-08-07T13:02:02-07:00
Excellent. Now a more mundane question. The upgrades we did on OpenWebUI, where they have added in the tool resources and so forth, as you noted. Well, it seems the tools function has basically taken over the AI. I’m sure it’s a setting somewhere, and I’ve gone through a few of them. One of the options that was available was tool or function. Doesn’t matter if I select either one. If I select tool, then the model basically tells me it’s just a toolbot. You know, what, you want to work on your calendar today, make some appointments? That kind of thing, but its broader knowledge base does not seem to be available to it or even queried. So, OpenWebUI must have a function there somewhere that, I don’t know, just adds the tool function as a tool function and doesn’t take over the model.
ChatGPT — 2026-08-07T13:02:11-07:00 · gpt-5.6-sol-wm
That does not sound like intended “tool use”; it sounds as though a tool bundle’s instruction prompt is being injected as the model’s governing role, so the model is answering as the tool interface instead of as itself. I’m checking the current Open WebUI controls—especially the distinction between “Default” and “Native” function calling and whether tools were attached globally to the model.
ChatGPT — 2026-08-07T13:02:32-07:00 · gpt-5.6-sol-wm
I found the important distinction: the “Function Calling: Native/Legacy” choice only changes how calls are transmitted; it does not determine whether the model remains a general assistant. The likely takeover is coming from tools or built-in tool categories being permanently bound to the model, possibly combined with a small local model that gives the injected tool instructions too much weight.
ChatGPT — 2026-08-07T13:02:46-07:00 · gpt-5.6-sol-wm
You’re correct: tools are supposed to remain peripherals. The model should answer normally from its trained knowledge and call a tool only when the request actually requires one. Its general knowledge does not need to be “queried”—it is already inside the model. If that personality disappears, tool instructions are dominating the conversation.
The Tool/Function or Native/Legacy selection is not the switch you’re looking for. That controls how tool requests are formatted and transmitted. Open WebUI now defaults to Native tool calling; Legacy uses the older prompt-injection method. Changing between them won’t necessarily correct a tool bundle that has taken over the model. Open WebUI’s tool-calling documentation
I would reset one model this way:
- Go to Workspace → Models.
- Edit the model you normally converse with.
- Under Tools, deselect every permanently attached tool.
- Under Capabilities, temporarily turn off Builtin Tools.
- Check Skills as well and remove anything attached there for this test.
- Inspect the model’s System Prompt. It should either be empty or contain only Ougway’s normal personality instructions—not anything about calendars, appointments, task management, or being a tool assistant.
- Leave Function Calling set to Native or simply unset.
- Save it and begin a completely new chat.
Starting a new chat matters because the present conversation already contains the model’s repeated claim that it is a toolbot, which can perpetuate the behavior.
Then test it with something ordinary, such as:
Explain why the sky changes color near sunset.
If it responds normally, enable one tool only for that specific chat through the four-diamond Integrations button beside the message box. Open WebUI explicitly supports tools being enabled temporarily per conversation; attaching them under Workspace → Models makes them permanently available to that model. Open WebUI model configuration
The intended arrangement is therefore:
- Normal model with its full trained knowledge.
- No tools permanently forced upon it initially.
- Select a calendar, web-search, document, or other tool only when needed.
- Native mode lets a compatible model decide whether that selected tool is relevant.
There is one additional complication: our local 7–8B models may be the weak link. Native tool use requires the model—not merely Open WebUI—to understand structured function calls. Open WebUI’s current documentation specifically warns that small local models often become confused or unreliable when given a large collection of tool definitions. That fits what you’re seeing remarkably well: the little model interprets “you possess calendar tools” as “you are a calendar agent.”
If normal behavior returns with Builtin Tools off, we have located the problem. We can then add tools back one category at a time and determine whether one particular calendar/task bundle is hijacking the prompt, or whether the model simply cannot carry a broad tool catalog while maintaining its ordinary identity. My strongest suspicion is a combination of all built-in tools being injected automatically after the upgrade and an 8B model being overwhelmed by them.
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