Litellm 1.77.2 stable notes (#14544)

* fix release notes instructions

* docs v1

* fix doc

* fix highlights

* docs fix

* docs fix
This commit is contained in:
Ishaan Jaff
2025-09-13 18:41:34 -07:00
committed by GitHub
parent 95da14cb96
commit f37dd6bb95
2 changed files with 411 additions and 0 deletions
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# LiteLLM Release Notes Generation Instructions
This document provides comprehensive instructions for AI agents to generate release notes for LiteLLM following the established format and style.
## Required Inputs
1. **Release Version** (e.g., `v1.76.3-stable`)
2. **PR Diff/Changelog** - List of PRs with titles and contributors
3. **Previous Version Commit Hash** - To compare model pricing changes
4. **Reference Release Notes** - Previous release notes to follow style/format
## Step-by-Step Process
### 1. Initial Setup and Analysis
```bash
# Check git diff for model pricing changes
git diff <previous_commit_hash> HEAD -- model_prices_and_context_window.json
```
**Key Analysis Points:**
- New models added (look for new entries)
- Deprecated models removed (look for deleted entries)
- Pricing updates (look for cost changes)
- Feature support changes (tool calling, reasoning, etc.)
### 2. Release Notes Structure
Follow this exact structure based on `docs/my-website/release_notes/v1.76.1-stable/index.md`:
```markdown
---
title: "v1.76.X-stable - [Key Theme]"
slug: "v1-76-X"
date: YYYY-MM-DDTHH:mm:ss
authors: [standard author block]
hide_table_of_contents: false
---
## Deploy this version
[Docker and pip installation tabs]
## Key Highlights
[3-5 bullet points of major features]
## Major Changes
[Critical changes users need to know]
## Performance Improvements
[Performance-related changes]
## New Models / Updated Models
[Detailed model tables and provider updates]
## LLM API Endpoints
[API-related features and fixes]
## Management Endpoints / UI
[Admin interface and management changes]
## Logging / Guardrail Integrations
[Observability and security features]
## Performance / Loadbalancing / Reliability improvements
[Infrastructure improvements]
## General Proxy Improvements
[Other proxy-related changes]
## New Contributors
[List of first-time contributors]
## Full Changelog
[Link to GitHub comparison]
```
### 3. Categorization Rules
**Performance Improvements:**
- RPS improvements
- Memory optimizations
- CPU usage optimizations
- Timeout controls
- Worker configuration
**New Models/Updated Models:**
- Extract from model_prices_and_context_window.json diff
- Create tables with: Provider, Model, Context Window, Input Cost, Output Cost, Features
- Group by provider
- Note pricing corrections
- Highlight deprecated models
**Provider Features:**
- Group by provider (Gemini, OpenAI, Anthropic, etc.)
- Link to provider docs: `../../docs/providers/[provider_name]`
- Separate features from bug fixes
**API Endpoints:**
- Images API
- Video Generation (if applicable)
- Responses API
- Passthrough endpoints
- General chat completions
**UI/Management:**
- Authentication changes
- Dashboard improvements
- Team management
- Key management
**Integrations:**
- Logging providers (Datadog, Braintrust, etc.)
- Guardrails
- Cost tracking
- Observability
### 4. Documentation Linking Strategy
**Link to docs when:**
- New provider support added
- Significant feature additions
- API endpoint changes
- Integration additions
**Link format:** `../../docs/[category]/[specific_doc]`
**Common doc paths:**
- `../../docs/providers/[provider]` - Provider-specific docs
- `../../docs/image_generation` - Image generation
- `../../docs/video_generation` - Video generation (if exists)
- `../../docs/response_api` - Responses API
- `../../docs/proxy/logging` - Logging integrations
- `../../docs/proxy/guardrails` - Guardrails
- `../../docs/pass_through/[provider]` - Passthrough endpoints
### 5. Model Table Generation
From git diff analysis, create tables like:
```markdown
| Provider | Model | Context Window | Input ($/1M tokens) | Output ($/1M tokens) | Features |
| -------- | ----- | -------------- | ------------------- | -------------------- | -------- |
| OpenRouter | `openrouter/openai/gpt-4.1` | 1M | $2.00 | $8.00 | Chat completions with vision |
```
**Extract from JSON:**
- `max_input_tokens` → Context Window
- `input_cost_per_token` × 1,000,000 → Input cost
- `output_cost_per_token` × 1,000,000 → Output cost
- `supports_*` fields → Features
- Special pricing fields (per image, per second) for generation models
### 6. PR Categorization Logic
**By Keywords in PR Title:**
- `[Perf]`, `Performance`, `RPS` → Performance Improvements
- `[Bug]`, `[Bug Fix]`, `Fix` → Bug Fixes section
- `[Feat]`, `[Feature]`, `Add support` → Features section
- `[Docs]` → Documentation (usually exclude from main sections)
- Provider names (Gemini, OpenAI, etc.) → Group under provider
**By PR Content Analysis:**
- New model additions → New Models section
- UI changes → Management Endpoints/UI
- Logging/observability → Logging/Guardrail Integrations
- Rate limiting/budgets → Performance/Reliability
- Authentication → Management Endpoints
### 7. Writing Style Guidelines
**Tone:**
- Professional but accessible
- Focus on user impact
- Highlight breaking changes clearly
- Use active voice
**Formatting:**
- Use consistent markdown formatting
- Include PR links: `[PR #XXXXX](https://github.com/BerriAI/litellm/pull/XXXXX)`
- Use code blocks for configuration examples
- Bold important terms and section headers
**Warnings/Notes:**
- Add warning boxes for breaking changes
- Include migration instructions when needed
- Provide override options for default changes
### 8. Quality Checks
**Before finalizing:**
- Verify all PR links work
- Check documentation links are valid
- Ensure model pricing is accurate
- Confirm provider names are consistent
- Review for typos and formatting issues
### 9. Common Patterns to Follow
**Performance Changes:**
```markdown
- **+400 RPS Performance Boost** - Description - [PR #XXXXX](link)
```
**New Models:**
Always include pricing table and feature highlights
**Breaking Changes:**
```markdown
:::warning
This release has a known issue...
:::
```
**Provider Features:**
```markdown
- **[Provider Name](../../docs/providers/provider)**
- Feature description - [PR #XXXXX](link)
```
### 10. Missing Documentation Check
**Review for missing docs:**
- New providers without documentation
- New API endpoints without examples
- Complex features without guides
- Integration setup instructions
**Flag for documentation needs:**
- New provider integrations
- Significant API changes
- Complex configuration options
- Migration requirements
## Example Command Workflow
```bash
# 1. Get model changes
git diff <commit> HEAD -- model_prices_and_context_window.json
# 2. Analyze PR list for categorization
# 3. Create release notes following template
# 4. Link to appropriate documentation
# 5. Review for missing documentation needs
```
## Output Requirements
- Follow exact markdown structure from reference
- Include all PR links and contributors
- Provide accurate model pricing tables
- Link to relevant documentation
- Highlight breaking changes with warnings
- Include deployment instructions
- End with full changelog link
This process ensures consistent, comprehensive release notes that help users understand changes and upgrade smoothly.
@@ -0,0 +1,155 @@
---
title: "v1.77.2-stable - Bedrock Batches API"
slug: "v1-77-2"
date: 2025-09-13T10:00:00
authors:
- name: Krrish Dholakia
title: CEO, LiteLLM
url: https://www.linkedin.com/in/krish-d/
image_url: https://pbs.twimg.com/profile_images/1298587542745358340/DZv3Oj-h_400x400.jpg
- name: Ishaan Jaffer
title: CTO, LiteLLM
url: https://www.linkedin.com/in/reffajnaahsi/
image_url: https://pbs.twimg.com/profile_images/1613813310264340481/lz54oEiB_400x400.jpg
hide_table_of_contents: false
---
import Image from '@theme/IdealImage';
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
## Deploy this version
<Tabs>
<TabItem value="docker" label="Docker">
``` showLineNumbers title="docker run litellm"
docker run \
-e STORE_MODEL_IN_DB=True \
-p 4000:4000 \
ghcr.io/berriai/litellm:v1.77.2
```
</TabItem>
<TabItem value="pip" label="Pip">
``` showLineNumbers title="pip install litellm"
pip install litellm==1.77.2
```
</TabItem>
</Tabs>
---
## Key Highlights
- **Bedrock Batches API** - Support for creating Batch Inference Jobs on Bedrock using LiteLLM's unified batch API (OpenAI compatible)
- **Qwen API Tiered Pricing** - Cost tracking support for Dashscope (Qwen) models with multiple pricing tiers
## New Models / Updated Models
#### New Model Support
| Provider | Model | Context Window | Pricing ($/1M tokens) | Features |
| ----------- | ------------------------------- | -------------- | --------------------- | -------- |
| DeepInfra | `deepinfra/deepseek-ai/DeepSeek-R1` | 164K | **Input:** $0.70<br/>**Output:** $2.40 | Chat completions, tool calling |
| Heroku | `heroku/claude-4-sonnet` | 8K | Contact provider for pricing | Function calling, tool choice |
| Heroku | `heroku/claude-3-7-sonnet` | 8K | Contact provider for pricing | Function calling, tool choice |
| Heroku | `heroku/claude-3-5-sonnet-latest` | 8K | Contact provider for pricing | Function calling, tool choice |
| Heroku | `heroku/claude-3-5-haiku` | 4K | Contact provider for pricing | Function calling, tool choice |
| Dashscope | `dashscope/qwen-plus-latest` | 1M | **Tiered Pricing:**<br/>• 0-256K tokens: $0.40 / $1.20<br/>• 256K-1M tokens: $1.20 / $3.60 | Function calling, reasoning |
| Dashscope | `dashscope/qwen3-max-preview` | 262K | **Tiered Pricing:**<br/>• 0-32K tokens: $1.20 / $6.00<br/>• 32K-128K tokens: $2.40 / $12.00<br/>• 128K-252K tokens: $3.00 / $15.00 | Function calling, reasoning |
| Dashscope | `dashscope/qwen-flash` | 1M | **Tiered Pricing:**<br/>• 0-256K tokens: $0.05 / $0.40<br/>• 256K-1M tokens: $0.25 / $2.00 | Function calling, reasoning |
| Dashscope | `dashscope/qwen3-coder-plus` | 1M | **Tiered Pricing:**<br/>• 0-32K tokens: $1.00 / $5.00<br/>• 32K-128K tokens: $1.80 / $9.00<br/>• 128K-256K tokens: $3.00 / $15.00<br/>• 256K-1M tokens: $6.00 / $60.00 | Function calling, reasoning, caching |
| Dashscope | `dashscope/qwen3-coder-flash` | 1M | **Tiered Pricing:**<br/>• 0-32K tokens: $0.30 / $1.50<br/>• 32K-128K tokens: $0.50 / $2.50<br/>• 128K-256K tokens: $0.80 / $4.00<br/>• 256K-1M tokens: $1.60 / $9.60 | Function calling, reasoning, caching |
---
#### Features
- **[Bedrock](../../docs/providers/bedrock_batches)**
- Bedrock Batches API - batch processing support with file upload and request transformation - [PR #14518](https://github.com/BerriAI/litellm/pull/14518), [PR #14522](https://github.com/BerriAI/litellm/pull/14522)
- **[VLLM](../../docs/providers/vllm)**
- Added transcription endpoint support - [PR #14523](https://github.com/BerriAI/litellm/pull/14523)
- **[Ollama](../../docs/providers/ollama)**
- `ollama_chat/` - images, thinking, and content as list handling - [PR #14523](https://github.com/BerriAI/litellm/pull/14523)
- **General**
- New debug flag for detailed request/response logging [PR #14482](https://github.com/BerriAI/litellm/pull/14482)
#### Bug Fixes
- **[Azure OpenAI](../../docs/providers/azure)**
- Fixed extra_body injection causing payload rejection in image generation - [PR #14475](https://github.com/BerriAI/litellm/pull/14475)
- **[LM Studio](../../docs/providers/lm-studio)**
- Resolved illegal Bearer header value issue - [PR #14512](https://github.com/BerriAI/litellm/pull/14512)
---
## LLM API Endpoints
#### Bug Fixes
- **[/messages](../../docs/anthropic_unified)**
- Don't send content block after message w/ finish reason + usage block - [PR #14477](https://github.com/BerriAI/litellm/pull/14477)
- **[/generateContent](../../docs/generateContent)**
- Gemini CLI Integration - Fixed token count errors - [PR #14451](https://github.com/BerriAI/litellm/pull/14451), [PR #14417](https://github.com/BerriAI/litellm/pull/14417)
---
## Spend Tracking, Budgets and Rate Limiting
#### Features
- **[Qwen API Tiered Pricing](../../docs/providers/dashscope)** - Added comprehensive tiered cost tracking for Dashscope/Qwen models - [PR #14471](https://github.com/BerriAI/litellm/pull/14471), [PR #14479](https://github.com/BerriAI/litellm/pull/14479)
#### Bug Fixes
- **Provider Budgets** - Fixed provider budget calculations - [PR #14459](https://github.com/BerriAI/litellm/pull/14459)
---
## Management Endpoints / UI
#### Features
- **User Headers Mapping** - New X-LiteLLM Users mapping feature for enhanced user tracking - [PR #14485](https://github.com/BerriAI/litellm/pull/14485)
- **Key Unblocking** - Support for hashed tokens in `/key/unblock` endpoint - [PR #14477](https://github.com/BerriAI/litellm/pull/14477)
- **Model Group Header Forwarding** - Enhanced wildcard model support with documentation - [PR #14528](https://github.com/BerriAI/litellm/pull/14528)
#### Bug Fixes
- **Log Tab Key Alias** - Fixed filtering inaccuracies for failed logs - [PR #14469](https://github.com/BerriAI/litellm/pull/14469), [PR #14529](https://github.com/BerriAI/litellm/pull/14529)
---
## Logging / Guardrail Integrations
#### Features
- **Noma Integration** - Added non-blocking monitor mode with anonymize input support - [PR #14401](https://github.com/BerriAI/litellm/pull/14401)
---
## Performance / Loadbalancing / Reliability improvements
#### Performance
- Removed dynamic creation of static values - [PR #14538](https://github.com/BerriAI/litellm/pull/14538)
- Using `_PROXY_MaxParallelRequestsHandler_v3` by default for optimal throughput - [PR #14450](https://github.com/BerriAI/litellm/pull/14450)
- Improved execution context propagation into logging tasks - [PR #14455](https://github.com/BerriAI/litellm/pull/14455)
---
## New Contributors
* @Sameerlite made their first contribution in [PR #14460](https://github.com/BerriAI/litellm/pull/14460)
* @holzman made their first contribution in [PR #14459](https://github.com/BerriAI/litellm/pull/14459)
* @sashank5644 made their first contribution in [PR #14469](https://github.com/BerriAI/litellm/pull/14469)
* @TomAlon made their first contribution in [PR #14401](https://github.com/BerriAI/litellm/pull/14401)
* @AlexsanderHamir made their first contribution in [PR #14538](https://github.com/BerriAI/litellm/pull/14538)
---
## **[Full Changelog](https://github.com/BerriAI/litellm/compare/v1.77.1.dev.2...v1.77.2.dev)**