Lago Open-source SDK: Bill on top of your LLM token cost with no middleware
The Lago Open-source SDK allows users to instrument LLM clients for billing without changing application code. It extracts usage data from responses and sends it to Lago's API in batches, ensuring minimal overhead. The SDK supports multiple providers and offers a flexible subscription management system.
- ▪Lago's SDK wraps existing LLM clients, enabling usage tracking without altering application code.
- ▪It buffers usage events in memory and sends them to Lago's API, surviving outages with exponential backoff.
- ▪The SDK supports various providers, including AWS Bedrock and Mistral, and allows for multi-tenant subscription management.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/getlago/lago-agent-sdk-python |
| Publication time | Wed, 27 May 2026 00:17:38 +0000 |
| Retrieval time | 2026-05-27T00:22:55.253Z |
| Last seen | 2026-05-27T00:22:55.253Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Lbo3qKa2fBqe |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
lago-agent-sdk Instrument LLM clients and emit usage events to Lago for billing. ┌──────────────┐ your code ──────► │ wrapped client│ ──► provider (Bedrock / Mistral / …) └──────┬───────┘ │ (extract usage) ▼ ┌──────────────┐ │ Lago events │ ──► api.getlago.com └──────────────┘ What it does Wraps your existing LLM client in place — no API surface change for your application code. Extracts usage from each response into a normalized shape (CanonicalUsage). Buffers events in memory, flushes them in batches to Lago's /events/batch endpoint. Survives provider/Lago outages with exponential backoff and a bounded buffer. p99 wrap-overhead under 5 ms — your call is never blocked on Lago. Install pip install lago-agent-sdk For Bedrock support: pip install 'lago-agent-sdk[bedrock]' (adds boto3).
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.