WPIntelliChat
LLM Governance
Governance Overview
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Total LLM Calls
in selected period
Total Tokens
prompt + completion
Total Cost (USD)
based on model pricing
Avg Latency
seconds per call
Daily Calls & Cost Trend
Top Models by Usage
Calls by Type
WPIntelliChat LLM Governance — Live Use Case
6-step governance pipeline running inside WPIntelliChat
Prompt Lifecycle Status
Eval Scores by Prompt
Prompt Catalog — Current State
PromptCategoryStatusRelevancyCoherenceCompletenessOverallAction
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LLM Audit Log
Complete record of every LLM call — who, what model, tokens, cost
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Sr. No. Timestamp User Model Type Request ID User Prompt Prompt Tok Completion Tok Latency Cost USD
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Model Registry
Registry as a planetarium — distance = cost, size = context, colour = kind, ring = guardrail profile, green = the active API key's model. Click a planet to open its model card.
Active API key: checking…
LLM RAG Tool active key distance = cost · size = context · ring = guardrail profile · click a planet to view
Prompt Experiments
A/B test prompt variants — compare quality, latency, and cost
Run ID Experiment Name Variants Best Time (s) Min Cost ($) Date
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Prompt Catalog
Engineer, evaluate, and promote prompts through a governed lifecycle (Draft → Approved → Production)
NameCategoryStatusUse CaseRating (1-5) Eval ScoreGradeModel HintUpdatedActions
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Review Queue
Regulation comparisons, gap reports, and AI-drafted PPM clauses awaiting review.
TitleKindStateSeverity QualityCreated byUpdated
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LLM Orchestration & Governance
WPIntelliChat governance pipeline: guardrails → prompt resolve → model resolve → LLM → evaluate → audit. Toggle with env ORCHESTRATOR_V2_ENABLED=1.
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Initializing…
Connecting to orchestrator
Guardrail reflex ribbon · recent decisions · click a bar for detail allow warn block redact
Chat Playground
Last Request Trace
No request yet. Send a message to see the trace.
Recent Guardrail Decisions
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Cost Estimator
Estimate LLM call cost before you run — compare models side by side
Estimate Parameters
Counted at 50% of input price (provider prompt-cache hits).
Estimated Cost
Per Request
Per Day
Per Month
Compare All Models
ModelProviderPer RequestPer DayPer MonthContext
Guardrail Rules
Database-backed rules per profile. Each chat call uses the rules of its model's guardrail_profile.
IDProfileNameTypeAction StagePriorityActiveOperations
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Orchestrator Metrics
Live rollup from /api/orchestrator/metrics: all LLM activity — blocked rate, fallback rate, answer relevancy, hallucination, latency.
Total runs
Completed
Blocked
Blocked rate
Fallback
Fallback rate
Avg answer relevancy
Avg hallucination
Latency avg (s)
Latency max (s)
Total cost (USD)
Guardrail breakdown
Decision Tables
Rule tables that map input records to outcomes — used by the Decision Table workflow node.
NameDescriptionColumnsRulesCreated
A/B Experiments
Champion/Challenger experiments that route traffic between two decision strategies.
NameStatusSplitVariant AVariant BCreated
Policy Watch
Tracked regulations as a living garden — each drift check waters a plant, each detected amendment blooms. Backed by /api/policy-watch.
healthy amendment pending amendment resolved stale (30d+) seedling (new)
Register Regulation
An anchor PDF is required — it is the snapshot future drift checks compare against.
New Decision Table
New Rule
Conditions (all must be true — leave empty for catch-all)
Combine conditions with all must match
Test Record Against Table
Paste a JSON record and see which rule matches.
New A/B Experiment
Remainder goes to Variant B
Variant A (Champion)
Variant B (Challenger)
Audit Log Detail
Experiment Run