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Summary
Total Spend
—
last 30 days
Spend by Model
| Model |
Requests |
Input |
Output |
Cost |
% of total |
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Cache Performance
| Pattern Hash |
Hits |
Tokens Saved |
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DISTILL document conversion
Token impact of converting documents to clean Markdown before the model
sees them. Honest accounting: deterministic-tier savings are a real
saving; vision-OCR is a real COST, shown distinctly; the net is savings
minus that cost (negative when OCR outweighs savings in a window). Cache
hit-rate is a separate avoided-reconversion saving — not blended in.
Tokens Saved
—
deterministic tiers
Vision-OCR Cost
—
the expensive path
Net Token Impact
—
saved − vision cost
Cache Hit Rate
—
avoided reconversions
—
Cluster · high availability
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Circuit Breakers
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Local Model Status
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Local model endpoints
Multi-endpoint registry powered by internal/localrouter.
Health checks run every 30 seconds; load + latency stats feed the
routing strategies (round-robin, least-loaded, lowest-latency,
priority). Configure at boot via LENS_LOCAL_ENDPOINTS
or manage at runtime:
- GET /v1/local/endpoints — list registered endpoints with health + EMA latency + error rate
- POST /v1/local/endpoints — register a new endpoint dynamically
- DELETE /v1/local/endpoints/<id> — remove an endpoint
- POST /v1/local/endpoints/<id>/check — trigger an immediate health probe
Budgets
Per-workspace / team / sprint spend governance. Enforcement is
off (track only), alert (default), or
hard_block (reject over the limit). Manage via
/v1/workspaces/<id>/budgets.
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Cost forecast projection
Projected period spend at the current pace — estimates, not
actual spend. Linear run-rate (spend-so-far ÷ elapsed fraction)
with a trailing-window daily rate + trend. Low-data periods are
flagged. Projected figures shown in italic with “≈”.
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Challenges PoVI proof-of-retention
Random Merkle-path challenges. A node that can't prove sampled positions
(bad path or no answer) is slashed.
Security is economic + probabilistic: expected cost of cheating
= P(challenge) × slash > gain — not an absolute proof of honest
computation.
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Staking PoVI collateral
Node-registration collateral (LENS locked). A node must stake ≥ the
minimum to be minting-eligible; collateral is slashable while
active or unbonding (the anti-yank property). Slashed
collateral is burned. Minting itself stays
OFF until challenge-and-slash (Part 3).
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Evaluation golden datasets
Recent eval runs — pass rate against the 80% gate. Runs below the gate
are flagged ⚠. Per-case regressions
(vs the prior run on the same dataset) and A/B significance verdicts —
with an honest “inconclusive” when the sample is too small to
call a winner — are served on demand by the eval API.
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Anomalies (over time)
Temporal — a unit's spend vs its own recent history (the
cross-sectional peer view is Cost outliers below).
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Cost outliers (vs peers) statistical flag
Units of work whose cost is far above the median of comparable units
(same workspace, trailing window) by robust statistics (median +
MAD). These are statistical flags, not judgments — "4× the
median" is a fact, not a verdict that anything is wrong. Hidden when
the baseline is too small to judge.
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Executive summary CFO-ready
Headline AI-cost summary for the budget-holder. Engineer-level
breakdown is hidden unless explicitly enabled (it's a cost
attribution, not a performance judgment).
View full report (HTML).
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LXC credit balance fiat
Prepaid usage credit (LXC) for this workspace, valued at the fixed peg of
$0.10 per LXC. Top up via Stripe billing; shown regardless of the
token-economy switch — LXC is the fiat usage credit.
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Routing intelligence data-driven
Best quality-per-dollar model per feature category, learned from the
opted-in pattern network. Data-driven suggestions — applied
only to requests that cede the model choice (model "auto" /
X-Talyvor-Auto-Route), within the workspace's allowed models, and
only above the sample floor. Hidden when disabled.
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Model capabilities multimodal
Which models can serve which modalities. A multimodal request is
routed to a capable model (or fails fast with a clear error) — never
silently answered from text. Unknown models are treated as text-only.
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Model catalog single source
The authoritative model registry — provider, pricing ($/1M tokens),
capabilities, and context limits. Cost attribution, capability
routing, and introspection all read from here.
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Guardrails safety
Per-workspace input + output safety rules (PII, prompt-injection,
content policy, output validation). Block fails fast with a clear
error; redact masks and continues; flag observes. Output guardrails
don't apply to streamed responses unless the workspace opts into
buffering. Hidden when the output stage is disabled.
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Git attribution
Workspace-scoped Git rollups (branch, PR, commit, author, repo)
recorded automatically when callers send the X-Talyvor-* headers.
Per-workspace dashboards consume these endpoints directly:
- GET /v1/workspaces/<wsID>/attribution/branches ?since=…&limit=20
- GET /v1/workspaces/<wsID>/attribution/branches/<branch>
- GET /v1/workspaces/<wsID>/attribution/prs/<prNumber>
- GET /v1/workspaces/<wsID>/attribution/summary ?days=30