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Added LiteLLM to the stack

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---
title: v1.59.8-stable
slug: v1.59.8-stable
date: 2025-01-31T10:00:00
authors:
- name: Krrish Dholakia
title: CEO, LiteLLM
url: https://www.linkedin.com/in/krish-d/
image_url: https://media.licdn.com/dms/image/v2/D4D03AQGrlsJ3aqpHmQ/profile-displayphoto-shrink_400_400/B4DZSAzgP7HYAg-/0/1737327772964?e=1749686400&v=beta&t=Hkl3U8Ps0VtvNxX0BNNq24b4dtX5wQaPFp6oiKCIHD8
- name: Ishaan Jaffer
title: CTO, LiteLLM
url: https://www.linkedin.com/in/reffajnaahsi/
image_url: https://media.licdn.com/dms/image/v2/D4D03AQGiM7ZrUwqu_Q/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1675971026692?e=1741824000&v=beta&t=eQnRdXPJo4eiINWTZARoYTfqh064pgZ-E21pQTSy8jc
tags: [admin ui, logging, db schema]
hide_table_of_contents: false
---
import Image from '@theme/IdealImage';
# v1.59.8-stable
:::info
Get a 7 day free trial for LiteLLM Enterprise [here](https://litellm.ai/#trial).
**no call needed**
:::
## New Models / Updated Models
1. New OpenAI `/image/variations` endpoint BETA support [Docs](../../docs/image_variations)
2. Topaz API support on OpenAI `/image/variations` BETA endpoint [Docs](../../docs/providers/topaz)
3. Deepseek - r1 support w/ reasoning_content ([Deepseek API](../../docs/providers/deepseek#reasoning-models), [Vertex AI](../../docs/providers/vertex#model-garden), [Bedrock](../../docs/providers/bedrock#deepseek))
4. Azure - Add azure o1 pricing [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L952)
5. Anthropic - handle `-latest` tag in model for cost calculation
6. Gemini-2.0-flash-thinking - add model pricing (it’s 0.0) [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L3393)
7. Bedrock - add stability sd3 model pricing [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L6814) (s/o [Marty Sullivan](https://github.com/marty-sullivan))
8. Bedrock - add us.amazon.nova-lite-v1:0 to model cost map [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L5619)
9. TogetherAI - add new together_ai llama3.3 models [See Here](https://github.com/BerriAI/litellm/blob/b8b927f23bc336862dacb89f59c784a8d62aaa15/model_prices_and_context_window.json#L6985)
## LLM Translation
1. LM Studio -> fix async embedding call
2. Gpt 4o models - fix response_format translation
3. Bedrock nova - expand supported document types to include .md, .csv, etc. [Start Here](../../docs/providers/bedrock#usage---pdf--document-understanding)
4. Bedrock - docs on IAM role based access for bedrock - [Start Here](https://docs.litellm.ai/docs/providers/bedrock#sts-role-based-auth)
5. Bedrock - cache IAM role credentials when used
6. Google AI Studio (`gemini/`) - support gemini 'frequency_penalty' and 'presence_penalty'
7. Azure O1 - fix model name check
8. WatsonX - ZenAPIKey support for WatsonX [Docs](../../docs/providers/watsonx)
9. Ollama Chat - support json schema response format [Start Here](../../docs/providers/ollama#json-schema-support)
10. Bedrock - return correct bedrock status code and error message if error during streaming
11. Anthropic - Supported nested json schema on anthropic calls
12. OpenAI - `metadata` param preview support
1. SDK - enable via `litellm.enable_preview_features = True`
2. PROXY - enable via `litellm_settings::enable_preview_features: true`
13. Replicate - retry completion response on status=processing
## Spend Tracking Improvements
1. Bedrock - QA asserts all bedrock regional models have same `supported_` as base model
2. Bedrock - fix bedrock converse cost tracking w/ region name specified
3. Spend Logs reliability fix - when `user` passed in request body is int instead of string
4. Ensure ‘base_model’ cost tracking works across all endpoints
5. Fixes for Image generation cost tracking
6. Anthropic - fix anthropic end user cost tracking
7. JWT / OIDC Auth - add end user id tracking from jwt auth
## Management Endpoints / UI
1. allows team member to become admin post-add (ui + endpoints)
2. New edit/delete button for updating team membership on UI
3. If team admin - show all team keys
4. Model Hub - clarify cost of models is per 1m tokens
5. Invitation Links - fix invalid url generated
6. New - SpendLogs Table Viewer - allows proxy admin to view spend logs on UI
1. New spend logs - allow proxy admin to ‘opt in’ to logging request/response in spend logs table - enables easier abuse detection
2. Show country of origin in spend logs
3. Add pagination + filtering by key name/team name
7. `/key/delete` - allow team admin to delete team keys
8. Internal User ‘view’ - fix spend calculation when team selected
9. Model Analytics is now on Free
10. Usage page - shows days when spend = 0, and round spend on charts to 2 sig figs
11. Public Teams - allow admins to expose teams for new users to ‘join’ on UI - [Start Here](https://docs.litellm.ai/docs/proxy/public_teams)
12. Guardrails
1. set/edit guardrails on a virtual key
2. Allow setting guardrails on a team
3. Set guardrails on team create + edit page
13. Support temporary budget increases on `/key/update` - new `temp_budget_increase` and `temp_budget_expiry` fields - [Start Here](../../docs/proxy/virtual_keys#temporary-budget-increase)
14. Support writing new key alias to AWS Secret Manager - on key rotation [Start Here](../../docs/secret#aws-secret-manager)
## Helm
1. add securityContext and pull policy values to migration job (s/o https://github.com/Hexoplon)
2. allow specifying envVars on values.yaml
3. new helm lint test
## Logging / Guardrail Integrations
1. Log the used prompt when prompt management used. [Start Here](../../docs/proxy/prompt_management)
2. Support s3 logging with team alias prefixes - [Start Here](https://docs.litellm.ai/docs/proxy/logging#team-alias-prefix-in-object-key)
3. Prometheus [Start Here](../../docs/proxy/prometheus)
1. fix litellm_llm_api_time_to_first_token_metric not populating for bedrock models
2. emit remaining team budget metric on regular basis (even when call isn’t made) - allows for more stable metrics on Grafana/etc.
3. add key and team level budget metrics
4. emit `litellm_overhead_latency_metric`
5. Emit `litellm_team_budget_reset_at_metric` and `litellm_api_key_budget_remaining_hours_metric`
4. Datadog - support logging spend tags to Datadog. [Start Here](../../docs/proxy/enterprise#tracking-spend-for-custom-tags)
5. Langfuse - fix logging request tags, read from standard logging payload
6. GCS - don’t truncate payload on logging
7. New GCS Pub/Sub logging support [Start Here](https://docs.litellm.ai/docs/proxy/logging#google-cloud-storage---pubsub-topic)
8. Add AIM Guardrails support [Start Here](../../docs/proxy/guardrails/aim_security)
## Security
1. New Enterprise SLA for patching security vulnerabilities. [See Here](../../docs/enterprise#slas--professional-support)
2. Hashicorp - support using vault namespace for TLS auth. [Start Here](../../docs/secret#hashicorp-vault)
3. Azure - DefaultAzureCredential support
## Health Checks
1. Cleanup pricing-only model names from wildcard route list - prevent bad health checks
2. Allow specifying a health check model for wildcard routes - https://docs.litellm.ai/docs/proxy/health#wildcard-routes
3. New ‘health_check_timeout ‘ param with default 1min upperbound to prevent bad model from health check to hang and cause pod restarts. [Start Here](../../docs/proxy/health#health-check-timeout)
4. Datadog - add data dog service health check + expose new `/health/services` endpoint. [Start Here](../../docs/proxy/health#healthservices)
## Performance / Reliability improvements
1. 3x increase in RPS - moving to orjson for reading request body
2. LLM Routing speedup - using cached get model group info
3. SDK speedup - using cached get model info helper - reduces CPU work to get model info
4. Proxy speedup - only read request body 1 time per request
5. Infinite loop detection scripts added to codebase
6. Bedrock - pure async image transformation requests
7. Cooldowns - single deployment model group if 100% calls fail in high traffic - prevents an o1 outage from impacting other calls
8. Response Headers - return
1. `x-litellm-timeout`
2. `x-litellm-attempted-retries`
3. `x-litellm-overhead-duration-ms`
4. `x-litellm-response-duration-ms`
9. ensure duplicate callbacks are not added to proxy
10. Requirements.txt - bump certifi version
## General Proxy Improvements
1. JWT / OIDC Auth - new `enforce_rbac` param,allows proxy admin to prevent any unmapped yet authenticated jwt tokens from calling proxy. [Start Here](../../docs/proxy/token_auth#enforce-role-based-access-control-rbac)
2. fix custom openapi schema generation for customized swagger’s
3. Request Headers - support reading `x-litellm-timeout` param from request headers. Enables model timeout control when using Vercel’s AI SDK + LiteLLM Proxy. [Start Here](../../docs/proxy/request_headers#litellm-headers)
4. JWT / OIDC Auth - new `role` based permissions for model authentication. [See Here](https://docs.litellm.ai/docs/proxy/jwt_auth_arch)
## Complete Git Diff
This is the diff between v1.57.8-stable and v1.59.8-stable.
Use this to see the changes in the codebase.
[**Git Diff**](https://github.com/BerriAI/litellm/compare/v1.57.8-stable...v1.59.8-stable)