Product updates you can trust

Workflow tracing, cost per completed outcome, a pre-deployment analyser, and classification-workload detection

• • Added workflow tracing to the SDK: wrap a multi-step run in track_costs.workflow() and its calls in step() or tool(), and every event records where it sat in that run. Works across OpenAI, Anthropic, Gemini and LangChain, including streamed calls.
• • New Workflows page showing cost per run rather than per call, cost per step and per tool, and a distribution chart of what a single run actually costs — with the most expensive 5% of runs and their share of spend called out, because an average hides the runs worth finding.
• • Repeated-work detection: identical calls made more than once inside a single run. This is distinct from the duplicate calls a cache fixes — within one run it usually means the control flow is looping.
• • Added cost per completed outcome. Call track_costs.outcome(success, label=...) and the dashboard reports what a result costs, charging failed runs to the successes they were paid for. Runs that report nothing are counted as unreported, never as failures.
• • New agentcost analyze command estimates what an agent will cost before it has spent anything: it token-counts your prompt and skill files, projects a recorded local-mode test run to production volume, and flags looping steps, repeated calls, oversized prompts and duplicated context. It runs entirely on your machine and transmits nothing — use --fail-on high to block a deploy in CI.
• • Optimizations now detect classification-shaped workloads: agents whose responses are always short and whose inputs repeat are doing work a smaller model, a trained classifier, or a lookup would do far more cheaply. Detected from token counts alone, without reading any prompt.
• • Documented the full trace and outcome payloads on the Data & Privacy Architecture page, including that workflow, step, tool and label names are strings you write and are transmitted as written.
• • Every workflow endpoint is documented in the API Reference, and none of this changes existing events: without a workflow() the SDK emits exactly what it did before.

Hosted-cloud positioning, instant onboarding, OpenAI & Anthropic spend import, and corrected integration snippets

• • Clarified positioning across the site: AgentCost is a free hosted cloud (api.agentcost.tech + this dashboard), and the same MIT-licensed stack remains fully self-hostable — claims like 'your data never leaves your infrastructure' are now correctly scoped to the self-hosted option.
• • Instant onboarding: signing up now auto-creates a project with an API key, so you can go from register to tracked calls without any manual setup.
• • Added OpenAI 30-day spend import so new accounts see real historical spend immediately after connecting.
• • Corrected every integration snippet on the site: API keys use the real sk_ prefix and init() examples include the required project_id (a UUID you copy from Settings).
• • Fixed an analytics error on the Models page.
• • Unified the public model count (3,500+) across the landing page, pricing page, FAQ, docs, and metadata — it previously varied between pages.
• • Added a real favicon.ico (previously only an SVG icon was declared, so /favicon.ico returned 404).

Executive Reports with PDF/CSV export, a redesigned Pricing page, and reliability fixes

• • Added Executive Reports — a new Reports page that pairs a one-glance executive summary (spend, calls, tokens, success rate, latency, projected run-rate, each with period-over-period deltas) with deep breakdowns: latency percentiles (p50/p95/p99), model cost concentration (Pareto), token efficiency, per-model error analysis, usage cadence (busiest day/hour), budget status, and an optimization-savings rollup.
• • Reports run over standard ranges, month-to-date, or a fully custom start/end date window — deltas always compare against the immediately preceding window of equal length.
• • Added a one-click PDF export that renders a purpose-built, letterheaded document (its own typography, KPI grid, tables, and inline SVG charts) instead of printing the dashboard — consistent output on every machine.
• • Added CSV export of the raw breakdown tables (models, agents, errors, cadence) with a UTF-8 byte-order mark and CRLF line endings, so currency symbols and accented text open correctly in Excel.
• • Backed the report with a new /v1/analytics/report endpoint and ReportService that compose the existing analytics, budget, and optimization services — no duplicated aggregation logic.
• • Reports work end-to-end in the no-signup demo, generated entirely client-side from the same sample dataset as the rest of the demo.
• • Redesigned the Pricing page: the header link now opens a dedicated page with an interactive savings estimator and an honest, single 'Free forever' open-source plan — replacing the old anchor jump to the metrics section.
• • Added a Back-to-home link and a featured-post layout to the Blog index.
• • Fixed the test suite's in-memory database setup (shared connection + commit-on-success) and aligned auth fixtures with the dual-auth model, restoring full green coverage; corrected the soft-delete test to reflect intentional grace-period reactivation.

Interactive no-signup demo, a redesigned analytics dashboard, and broader model coverage

• • Added Live Demo mode — explore a fully populated workspace (sample data from a fictional AI-support company) with no signup. It runs entirely client-side, so the demo works even when the API is unavailable.
• • Reachable from the landing hero, the navbar, and the sign-in page, the demo is read-only: any write action invites you to create a free account, and signups originating in the demo are attributed for conversion reporting.
• • Added a Demo Funnel page to the admin control plane: sessions over time, entry sources, most-explored pages, signup click-through, and demo-to-account conversion rate.
• • Redesigned the dashboard with hero metric cards (inline sparklines and period-over-period deltas) and a new operational snapshot: projected monthly spend at the current run rate, blended cost per 1K tokens, and failed-call/error-rate tracking.
• • Added a new activity chart with a Spend / Calls / Tokens switcher and a period-average reference line, an interactive cost-by-model donut, and a ranked agent cost list with per-agent calls, success rate, and latency.
• • Reworked the Agents and Models pages with provider tags, cost-share bars, call-volume-weighted success rates, and input/output token-split visualizations.
• • Updated model coverage to reflect 2,900+ supported models, synced from LiteLLM's pricing database.
• • Refined the visual language across the app — flat, single-color data fills replace cross-color gradient treatments for a cleaner, more professional look.
• • Fixed a reliability issue on the registration page where an unreachable policy-versions endpoint surfaced a console error instead of silently falling back to the built-in defaults.

INR currency support, clearer Budget Guardrails UX, and stability fixes

• • Added per-project currency selection for Budget Guardrails — USD and INR are supported, with live ECB-sourced FX rates fetched and cached for 6 hours via frankfurter.app.
• • Budget evaluation now converts USD cost events into the project's chosen currency before comparing against thresholds and the hard-cap budget, so a ₹4,000 budget behaves natively in INR.
• • Email and in-app budget alerts now render amounts with the project's currency symbol (₹ or $).
• • Redesigned the Enforcement Mode dropdown with a dark-theme custom selector and clearer wording (Tracking only / Notify on thresholds / Block when budget is reached).
• • Widened the threshold input so the helper text is no longer clipped.
• • Fixed a TypeError on /v1/auth/me caused by legacy naive timestamps in last_active_at.
• • Auto-migration now also adds events.cost_source and events.input_hash so analytics queries succeed on first deploy.
• • Logout now clears the project-scoped API key from local storage to prevent a previous account's key from leaking into a new account session.
• • Team page detects when a stored API key points to a project the current user can't access and offers a one-click recovery action.

Budget Guardrails: monthly caps, threshold alerts, and notifications

• • Added per-project monthly budget configuration with enforcement modes: off, warn, and hard_cap.
• • Added configurable alert thresholds (defaults: 50%, 80%, 100%) with strict 1–100% validation and automatic deduplication.
• • Added deduplicated threshold crossing records via a new budget_threshold_alerts table — guaranteed at most one alert per project, per month, per threshold.
• • Added in-app notification system: per-user notification feed with unread counts, severity levels (info / warning / critical), mark-read, and mark-all-read endpoints.
• • Added budget alert email template — branded HTML email dispatched via Resend to project owners and admin members on every newly crossed threshold.
• • Added a notification bell to the dashboard layout with a live unread badge that polls every 60 seconds.
• • Added the Budget Guardrails settings card with month-to-date utilization, color-coded progress bar, and threshold chip editor.
• • Hardened the ingestion endpoint: returns HTTP 429 when projected spend exceeds the budget in hard_cap mode, with a clear, actionable error message.
• • Added 13 unit + integration tests covering threshold normalization, month-window math, year-rollover, evaluation across all enforcement modes, dedup, and owner/admin fan-out.

Branding and SEO coverage for multi-provider support

• • Updated site metadata to explicitly include OpenAI and Anthropic alongside LangChain across title, description, Open Graph, and Twitter cards.
• • Updated landing-page copy and SDK snippets to reflect multi-provider support.
• • Standardized icon metadata (shortcut + apple touch icon) for consistent favicon rendering across browsers.