Roles
3+
User · Admin · Owner — distinct privilege envelopes.
Gated Proxy SDK Config
Per-role, per-provider, capability-limited SDK configuration for the LiteLLM universal gateway — the same gating model commercial assistants use, made explicit and inspectable.
Providers
4
OpenAI-compat · DeepSeek · Anthropic · Azure.
Limiters
9
Capability switches enforced server-side per request.
Shared gates
7
Patterns ChatGPT, Claude & Grok all apply.
01 The gap
A universal gateway routes to any provider — but “any provider, any role” is not a policy. The proposal pins four axes that must vary together.
◈
Role & privilege
Who may call which endpoint, with which parameters.
◆
Provider SDK
Divergent wire formats behind one compatible surface.
◇
Capability
tool_calls, vision, streaming, JSON mode — on or off.
◉
Output budget
Min / max output tuning per tier and task.
02 Pipeline — request to validated answer
Every request passes the same gates. The dot connectors animate the flow; each node is a place a policy can refuse.
03 Role & privilege profiles
User
- Chat + completions
- tool_calls: allowlisted
- max output capped
- no model switching
Admin
- + embeddings · vision
- + custom tools
- raised budget
- models: subset
Owner
- all endpoints
- all tools / agents
- max budget
- full model routing
04 Provider SDK variation
One compatible surface, four dialects. Azure is the detailed reference (screenshot below).
OpenAI-compat
/chat/completionsDeepSeek
deepseek-chatAnthropic
messages APIAzure
deployment + api-version
05 Capability limiters
LimiterUserAdminOwner
tool_calls / function callingallowallowallow
Vision / image inputoffallowallow
Streamingallowallowallow
JSON / structured outputallowallowallow
Embeddingsoffallowallow
Model switchingoffsubsetall
Parallel tool callsofflimitedallow
Sandboxed execoffoffallow
Max output budgetcappedraisedmax
06 How the big three gate the same proxy
The model is not invented — ChatGPT, Claude and Grok all gate a shared proxy with the same seven levers, tiered by plan.
- Free · Plus · Pro · Team · Enterprise
- Tools & browsing gated by tier
- Reasoning budget by plan
- Pro · Max 5× · Max 20×
- Projects / MCP connectors gated
- Usage windows per tier
- Free · Premium · Heavy
- DeepSearch / tools by tier
- Context & priority scaled
Maps to KD tiers → Standard · Agentic · Universal · Enterprise.
07 Documents & references
Full proposalPDF · this issue, complete
Claude SDK config (agentic)PDF · source reference
LiteLLM DeepSWE whitepaperPDF · ctaxnagomi
KD ADE kit architecturePDF · agentic exec stack
→ Form Fix
Sticky Validation Fix
The project-submission form leaves a stale “at least 10 characters” error on a field that already holds far more. Root cause: flat sibling [data-slot=form-item] nodes sharing one validation context.
Symptom
Sticky error
Error persists past valid input length.
Cause
Flat siblings
Shared form-item validation scope.
Fix
Nest fields
Isolated context per field + DB-safe IDs.
01 Root cause — flat vs nested
02 The fix
<div data-slot="form-item">
<Label /><Input name="title" />
</div>
<div data-slot="form-item">
<Label /><Textarea name="description" />
</div> // ← siblings, one context<FormItem>
<FormLabel /><FormControl><Input /></FormControl>
<FormMessage /> // ← bound to THIS field
</FormItem>03 Test matrix
ScenarioInputExpectedResult
Empty title“”error shownpass
Title 5 chars“hello”error (min)pass
Title 11 chars“hello world”clearspass
Summary valid≥ minlengthclearspass
Description 71 charslong textclears ⚠pass
Blur after validrefocusno stale errorpass
Reproduced and verified under a DevTools simulation of the live form; maintainers should confirm against the production build.
04 Database-layer advice
Single table, hashed IDs
Keep one submissions table (SQLite/D1); use opaque hashed IDs rather than sequential integers to avoid enumeration and collisions.
Keep the hybrid runtime
Workers + Workers AI remains a sound fit — no need to split storage across services for this fix.
→ Penzine
KD Penzine Pipeline
An autonomous agentic pipeline — not API-to-API automation. Worker AI + Cron ingest and classify; Gradio + HuggingFace run the learning loop; everything compiles into one Collective Penzine.
Pages
89
Classified & published rows.
Volumes
8
Compiled issues to date.
Datasets
2
HF · pages + volumes · gated.
Marginal load
~0
Beyond caching; humans only curate.
01 Pipeline
02 Stack
Workers AIclassify · summarise
Cronscheduled ingest
Gradiolearning UI
HuggingFacedatasets + models
03 Ambassador monitoring
Example: watch @ctaxnagomi with keywords AI · KD · KrackedDevs · xSolla, merged into the shared feed.
AmbassadorHandleSurfacesStatus
ctaxnagomi@ctaxnagomiX · Instagram · Threadstracked
adibM04@adibM04—to confirm
strdst7@strdst7—to confirm
…11 ambassadors scrapedsee CSV+ official @KrackedDevs—
Full registry in kd-ambassador-social-media.csv (14 rows).
← Gated Proxy