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Agents tracked: 493 Releases (7d): 785 Agent status: 2 with issuesSince last limit reset: Claude 3d · Codex 1d For AI agents: Markdown Updated Nov 14, 2026
Release GitHub Releases

LiteLLM 1.106.8 released

A patch release fixing transcription cost calculation for FLAC files and updating how per-second transcriptions are billed.

What changed in 1.106.8

  • Fixed incorrect transcription cost for some FLAC files that could cause keys to exceed their budget
  • Per-second transcriptions now bill based on the provider's reported usage.seconds instead of measured length

Summarised by AgentGid from BerriAI's official release notes on GitHub, as reported there; read the original before relying on it. Price, status and release dates come from our daily data.

LiteLLM at a glance

What it isAn AI gateway and Python SDK that calls 100+ model APIs through one OpenAI-style interface, with spend tracking, budgets, rate limits, fallbacks, guardrails and logging. The same gateway also serves A2A agents and MCP t…
Latest version1.106.10, Nov 14, 2026. This page is about an earlier release.
Release pace41 stable releases in the last 30 days; 1.106.8 came the same day as the previous one
PriceFree (OSS). The SDK and proxy are open source and free. An enterprise edition with SSO, audit logs and support is sold separately. Official pricing ↗ (checked Nov 5, 2026)
Downloads, last 7 days23.8M up 5.3%
Gid Score76 #1 in Agent tooling for cost, context and memory

LiteLLM releases around 1.106.8

  1. 1.109.1 notes ↗
  2. 1.108.6 notes ↗
  3. 1.106.9 notes ↗
  4. 1.106.8 this page
  5. 1.109.0 notes ↗
  6. 1.108.5 notes ↗
  7. 1.104.9 notes ↗

Every LiteLLM release by month →

More about LiteLLM

  1. Release GitHub Releases

    LiteLLM 1.106.10 released

  2. Official AWS Machine Learning

    Route coding agent requests to the right model on Amazon Bedrock with NVIDIA NeMo Switchyard

  3. Release GitHub Releases

    LiteLLM 1.108.8 released

  4. Release GitHub Releases

    LiteLLM 1.108.7 released

  5. Official AWS Machine Learning

    Building a self-service LLM gateway with Amazon Bedrock and LiteLLM