From e0ad538de1c4966ba5cc9c43b7bd06c4e5036bba Mon Sep 17 00:00:00 2001 From: Ishaan Jaffer Date: Sat, 21 Feb 2026 14:56:27 -0800 Subject: [PATCH] docs(release-notes): update v1.81.14 key highlights and section placement --- docs/my-website/release_notes/v1.81.14.md | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/docs/my-website/release_notes/v1.81.14.md b/docs/my-website/release_notes/v1.81.14.md index 765b730c1aa..2dd83b8a754 100644 --- a/docs/my-website/release_notes/v1.81.14.md +++ b/docs/my-website/release_notes/v1.81.14.md @@ -43,10 +43,10 @@ pip install litellm==1.81.14 ## Key Highlights - **Use Claude Sonnet 4.6 on day 0** — [reasoning, computer use, prompt caching, and 200K context, working across Anthropic and Vertex AI from the moment it launched](../../docs/providers/anthropic) -- **Deploy guardrails without writing code** — [Guardrail Garden lets you browse a marketplace of pre-built policies (competitor blockers, GDPR PII, EU AI Act, prompt injection) and deploy in one click](../../docs/proxy/guardrails/policy_templates) +- **Guardrail Model Garden** — [Easily browse available guardrails — competitor blockers, GDPR PII, EU AI Act, prompt injection, and more — and deploy in one click](../../docs/proxy/guardrails/policy_templates) +- **3 new built-in LiteLLM guardrails** — [competitor name blocker, topic blocker, and insults filter — all configurable, no external API required](../../docs/proxy/guardrails) - **Test guardrail policies before shipping** — [upload a CSV dataset to the compliance playground and validate policies against real traffic; get AI-generated policy suggestions with latency overhead estimates](../../docs/proxy/guardrails/policy_templates) - **Turn any OpenAPI spec into an MCP server** — [paste a spec and get a working MCP server instantly, via API or UI](../../docs/mcp) -- **Call any prompt management system from a single API** — [the new Prompt Management API works with Langfuse, LangSmith, and others without requiring per-integration code](../../docs/proxy/prompt_management) - **Major performance batch** — 20+ targeted optimizations across router algorithms, logging overhead, cost calculator, and connection management — meaningfully lower latency and CPU overhead on every request --- @@ -108,7 +108,6 @@ This release includes the largest single batch of performance work since v1.74. - Native structured outputs API support (`outputConfig.textFormat`) - [PR #21222](https://github.com/BerriAI/litellm/pull/21222) - Support `nova/` and `nova-2/` spec prefixes for custom imported models - [PR #21359](https://github.com/BerriAI/litellm/pull/21359) - Broaden Nova 2 model detection to support all `nova-2-*` variants - [PR #21358](https://github.com/BerriAI/litellm/pull/21358) - - Add Accept header for AgentCore MCP server requests - [PR #21551](https://github.com/BerriAI/litellm/pull/21551) - Clamp `thinking.budget_tokens` to minimum 1024 - [PR #21306](https://github.com/BerriAI/litellm/pull/21306) - Fix `parallel_tool_calls` mapping for Bedrock Converse - [PR #21659](https://github.com/BerriAI/litellm/pull/21659) @@ -330,6 +329,10 @@ This release includes the largest single batch of performance work since v1.74. - **[LakeraAI](../../docs/proxy/guardrails)** - Avoid `KeyError` on missing `LAKERA_API_KEY` during initialization - [PR #21422](https://github.com/BerriAI/litellm/pull/21422) +### Auto Routing + +- **Complexity-based auto routing** — new router strategy that scores requests across 7 dimensions (token count, code presence, reasoning markers, technical terms, etc.) and routes to the appropriate model tier — no embeddings or API calls required - [PR #21789](https://github.com/BerriAI/litellm/pull/21789), [Docs](../../docs/proxy/auto_routing) + ### Prompt Management - **Prompt Management API** @@ -386,7 +389,6 @@ This release includes the largest single batch of performance work since v1.74. - Increase default LRU cache size to reduce multi-model cache thrash - [PR #21139](https://github.com/BerriAI/litellm/pull/21139) - Cache `get_model_access_groups()` no-args result on Router - [PR #20374](https://github.com/BerriAI/litellm/pull/20374) - Deployment affinity routing callback — route to the same deployment for a session - [PR #19143](https://github.com/BerriAI/litellm/pull/19143) -- Complexity-based auto routing — new router strategy that routes based on request complexity - [PR #21789](https://github.com/BerriAI/litellm/pull/21789) - Session-ID-based routing — use `session_id` for consistent routing within a session - [PR #21763](https://github.com/BerriAI/litellm/pull/21763) **Connection management & reliability**