BerriAI · 2026-09-06 · major
LiteLLM v1.100.0 — Vertex AI Interactions API and shared team budgets
LiteLLM v1.100.0 adds native Vertex AI Interactions API support, Bing Search grounding, day-0 Gemini transcription models, and shared budgets across model access groups. It references 398 pull requests and deletes prompt_token_calculator.
The LLM gateway's newest release widens provider coverage and moves budget enforcement from single keys to shared groups.
Quick facts
| Maker | BerriAI |
|---|---|
| Version | v1.100.0, released 6 September 2026 |
| Previous stable | v1.99.0 |
| Pull requests referenced | 398 |
| Breaking change | prompt_token_calculator deleted from utils |
| New providers | Vertex AI Interactions API, Bing Search grounding, gemini-3.5-transcribe |
| Docker image | ghcr.io/berriai/litellm:v1.100.0, cosign-signed |
What is it?
Native Vertex AI Interactions API support is the headline in LiteLLM v1.100.0, alongside Grounding with Bing Search as a search provider and day-0 routing for Google's gemini-3.5-transcribe and transcribe-live models. LiteLLM is the open-source gateway that puts 100-plus model APIs behind one OpenAI-shaped interface, with cost tracking, guardrails, load balancing and logging.
How does it work?
Budgets are the structural change. A new LiteLLM_BudgetWindowSpend table records spend per budget window, so a shared budget can be enforced across a model access group instead of only per key, and an opt-in setting rolls an overage into the next window. The auto-router gains operator-defined tier sets that can be previewed and dry-run against the backend before saving. On the security side the MCP gateway adds RS256 session-token signing and RFC 7662 introspection, and /v1/rag/ingest now enforces vector-store upload controls.
Why does it matter?
Teams that put every model call through one gateway have had to approximate group-level spend limits with per-key budgets, which drift as keys are added. Enforcing a budget on the model access group, with per-window rows behind it, makes the number the finance team sees match the number the proxy enforces. The one deletion, prompt_token_calculator, is the only thing to check before upgrading.
Who is it for?
platform teams running a shared LLM proxy
Frequently asked questions
- What breaks when upgrading to LiteLLM v1.100.0?
- LiteLLM v1.100.0 carries one marked breaking change: prompt_token_calculator has been deleted from utils. Code that imported that helper directly needs to move to LiteLLM's current token-counting path. Everything else in the release is additive or opt-in, including the new budget-rollover and fallback-authorization flags, which stay off until an operator enables them.
- How do LiteLLM's shared budgets work?
- LiteLLM v1.100.0 lets a budget be enforced across a model access group rather than per key, and adds a LiteLLM_BudgetWindowSpend table so spend is tracked per budget window instead of only as a running total. An opt-in rollover setting carries an overage into the next window. Admins can set a group's shared budget from the dashboard.
- Which new models and providers does LiteLLM v1.100.0 reach?
- LiteLLM v1.100.0 adds native Vertex AI Interactions API support, Grounding with Bing Search as a search provider, and day-0 routing for gemini-3.5-transcribe and transcribe-live, including on Vertex AI's /v1/audio/transcriptions. It also registers zai-org/GLM-5.3-Flash on Together AI, qwen-image-3.0 image generation on DashScope, and Veo 3.1 Lite metadata.
- What changed for MCP users in LiteLLM v1.100.0?
- The LiteLLM MCP gateway gains asymmetric RS256 signing for session tokens and RFC 7662 token introspection, so an external service can validate a gateway session. Anthropic MCP connectors can now be bulk-imported through the API or the admin UI, and a resolved OAuth token can be sent in a custom upstream header instead of the default one.
Try it
docker pull ghcr.io/berriai/litellm:v1.100.0