From de4f32762a2130e462dcd22fd5133a1a21383bd3 Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Wed, 2 Jul 2025 20:39:38 -0700
Subject: [PATCH] v1.73.6.rc (#12146)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* fix - using on python 3.9

* [⚡️ Python SDK Import] - 2 second faster import times (#12135)

* speedup - move wb logger to conditional

* fix import path

* docs(index.md): initial pre-release note

* 🧹 Refactor init.py to use a model registry (#12138)

* fix - refactor init to use a registry

* # noqa: PLR0915

* fix import loc

* test whitelisted models

* Revert "🧹 Refactor init.py to use a model registry (#12138)" (#12141)

This reverts commit f93326a214f4de914f5ffbbf8ab2a7bf0a2ea1de.

* [⚡️ Python SDK import] - reduce python sdk import time by .3s  (#12140)

* use 1 file for KeyManagementSystem

* move key management settings

* fix import locs

* test_proxy_types_not_imported

* test the import loc

* fix import item

* fix imports

* fix import loc

* fix imports

* fix imports

* fix - revert list team changes

* fix for o-series param checks

* bump poetry

* docs(index.md): update release note with cleaner table for updated models

* `/v1/messages` - Remove hardcoded model name on streaming + Tags - enable setting custom header tags (#12131)

* fix(anthropic/experimental_pass_through): use given model name when returning streaming chunks

don't harcode model name on streaming

confusing for user

* fix(anthropic/streaming_iterator.py): remove scope of import

* feat(litellm_logging.py): allow admin to specify additional headers for using as spend tags

Closes https://github.com/BerriAI/litellm/issues/12129

* test(test_litellm_logging.py): add unit tests

* feat(openweb_ui.md): add custom tag tutorial to docs

* docs(cost_tracking.md): add tag based usage UI screenshot

* test: update test

* fix: fix import

* docs - update release notes

* Benefits of using gemini-cli with LiteLLM

* UI QA Fixes - prevent team model reset on model add + return team-only models on /v2/model/info + render team member budget correctly (#12144)

* fix(team_endpoints.py): prevent overwriting current list of team models on new model add

* fix(networking.tsx): fix default proxy base url

* fix(proxy_server.py): include team only models when retrieving all deployments on `/v2/model/info` helper util

ensures team only models are shown to user

* fix(router.py): check model name by team public model name when team id given

Fixes issue where team member could not see team only models when clicking into that team on `Models + Endpoints`

* fix(team_member_view.tsx): fix rendering team member budget, when budget is set

* test: update tests

* test: update unit test

* docs gemini cli x litellm

* docs: index.md

release note cleanup

* docs(index.md): add more hyperlinks to docs

* docs(index.md): add batch api cost tracking to docs

* docs(index.md): update docs

* VertexAI Anthropic - streaming cost tracking w/ prompt caching fixes (#12188)

* fix(rebuild-usage-object---ensure-cache_tokens-is-set): Ensures cache tokens is correctly set

Fixes https://github.com/BerriAI/litellm/issues/12149

* test(test_stream_chunk_builder_utils.py): add unit test to ensure cached tokens is part of stream chunk builder

Ensures standardized values are used

* Fix rendering ui on non-root images (#12226)

* fix(proxy_server.py): only rewrite server_root_path if path set

Fixes UI rendering issue on non-root images

* docs(custom_root_ui.md): clarify custom root path doesn't work on non-root images

* build(pyproject.toml): version rc2

* fix(streaming_handler.py): store finish reason, even if is_finished is false - allows storing early gemini finish reasons (#12250)

Fixes https://github.com/BerriAI/litellm/issues/12249

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
---
 .circleci/config.yml                          |   1 +
 docs/my-website/docs/proxy/cost_tracking.md   | 198 +++++++++-
 docs/my-website/docs/proxy/custom_root_ui.md  |   3 +
 docs/my-website/docs/proxy/enterprise.md      | 169 --------
 .../docs/proxy/guardrails/panw_prisma_airs.md |   1 -
 .../docs/tutorials/litellm_gemini_cli.md      | 108 ++++-
 docs/my-website/docs/tutorials/openweb_ui.md  |  15 +
 docs/my-website/img/claude_cli_tag_usage.png  | Bin 0 -> 272720 bytes
 docs/my-website/img/custom_tag_headers.png    | Bin 0 -> 297314 bytes
 .../release_notes/batch_api_cost_tracking.jpg | Bin 0 -> 502939 bytes
 .../img/release_notes/gemini_cli.png          | Bin 0 -> 585092 bytes
 .../release_notes/v1.73.6-stable/index.md     | 277 +++++++++++++
 ...litellm_enterprise-0.1.10-py3-none-any.whl | Bin 0 -> 102017 bytes
 .../dist/litellm_enterprise-0.1.10.tar.gz     | Bin 0 -> 41632 bytes
 enterprise/poetry.lock                        |   4 +-
 enterprise/pyproject.toml                     |   4 +-
 litellm/__init__.py                           |  17 +-
 litellm/_service_logger.py                    |   4 +-
 .../google_genai/adapters/transformation.py   | 358 +++++++++--------
 litellm/integrations/custom_logger.py         |   3 +-
 litellm/litellm_core_utils/litellm_logging.py |  31 +-
 .../llm_cost_calc/tool_call_cost_tracking.py  |   2 +-
 .../streaming_chunk_builder_utils.py          |   8 +-
 .../litellm_core_utils/streaming_handler.py   |   3 +-
 .../adapters/handler.py                       |   6 +-
 .../adapters/streaming_iterator.py            |  13 +-
 .../adapters/transformation.py                |   6 +-
 .../azure/chat/o_series_transformation.py     |  31 +-
 .../anthropic_messages/transformation.py      |   1 +
 .../vertex_and_google_ai_studio_gemini.py     |   4 +-
 .../static/chunks/250-b776bd9ac8911291.js     |   2 +-
 .../static/chunks/webpack-a426aae3231a8df1.js |   2 +-
 .../out/_next/static/css/31b7f215e119031e.css |   2 +-
 .../_experimental/out/assets/logos/aws.svg    |  68 ++--
 .../out/assets/logos/cerebras.svg             | 178 ++++-----
 .../out/assets/logos/deepseek.svg             |  50 +--
 .../out/assets/logos/perplexity-ai.svg        |  30 +-
 litellm/proxy/_experimental/out/index.html    |   2 +-
 litellm/proxy/_experimental/out/index.txt     |   2 +-
 litellm/proxy/_experimental/out/model_hub.txt |   2 +-
 .../proxy/_experimental/out/onboarding.html   |   1 -
 .../proxy/_experimental/out/onboarding.txt    |   2 +-
 litellm/proxy/_types.py                       |  56 +--
 .../management_endpoints/team_endpoints.py    |  71 ++--
 litellm/proxy/proxy_server.py                 |  97 +++--
 litellm/router.py                             |  38 +-
 litellm/secret_managers/main.py               |   2 +-
 litellm/types/llms/base.py                    |  25 +-
 .../proxy/management_endpoints/ui_sso.py      |  22 +-
 litellm/types/secret_managers/main.py         |  38 ++
 litellm/types/utils.py                        |  27 +-
 poetry.lock                                   | 372 +++++++++++++++---
 pyproject.toml                                |   6 +-
 requirements.txt                              |   2 +-
 .../test_proxy_types_import.py                |  98 +++++
 .../test_secret_manager.py                    |   4 +-
 tests/litellm_utils_tests/test_utils.py       |  22 ++
 tests/llm_translation/test_gemini.py          | 236 +++++++++--
 tests/local_testing/test_get_model_info.py    |  20 -
 .../test_key_management.py                    |   2 +-
 .../test_usage_endpoints.py                   |   2 +-
 .../test_e2e_pod_lock_manager.py              |   2 +-
 .../test_key_generate_prisma.py               |   4 +-
 .../llm_cost_calc/test_llm_cost_calc_utils.py |  32 ++
 .../test_litellm_logging.py                   |  95 +++++
 .../test_streaming_chunk_builder_utils.py     |   1 +
 ...erimental_pass_through_messages_handler.py |  29 +-
 .../messages/test_sse_wrapper.py              |  12 +-
 .../test_team_endpoints.py                    |  94 +++--
 tests/test_litellm/proxy/test_proxy_server.py |  16 +-
 tests/test_litellm/test_router.py             | 121 ++++++
 .../src/components/networking.tsx             |   2 +-
 .../src/components/team/team_member_view.tsx  |   6 +-
 73 files changed, 2299 insertions(+), 863 deletions(-)
 create mode 100644 docs/my-website/img/claude_cli_tag_usage.png
 create mode 100644 docs/my-website/img/custom_tag_headers.png
 create mode 100644 docs/my-website/img/release_notes/batch_api_cost_tracking.jpg
 create mode 100644 docs/my-website/img/release_notes/gemini_cli.png
 create mode 100644 docs/my-website/release_notes/v1.73.6-stable/index.md
 create mode 100644 enterprise/dist/litellm_enterprise-0.1.10-py3-none-any.whl
 create mode 100644 enterprise/dist/litellm_enterprise-0.1.10.tar.gz
 delete mode 100644 litellm/proxy/_experimental/out/onboarding.html
 create mode 100644 litellm/types/secret_managers/main.py
 create mode 100644 tests/code_coverage_tests/test_proxy_types_import.py

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 3294845bd92..52c2115bf5f 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -1358,6 +1358,7 @@ jobs:
       # - run: python ./tests/documentation_tests/test_general_setting_keys.py
       - run: python ./tests/code_coverage_tests/check_licenses.py
       - run: python ./tests/code_coverage_tests/router_code_coverage.py
+      - run: python ./tests/code_coverage_tests/test_proxy_types_import.py
       - run: python ./tests/code_coverage_tests/callback_manager_test.py
       - run: python ./tests/code_coverage_tests/recursive_detector.py
       - run: python ./tests/code_coverage_tests/test_router_strategy_async.py
diff --git a/docs/my-website/docs/proxy/cost_tracking.md b/docs/my-website/docs/proxy/cost_tracking.md
index 58a6b1f27e6..019ca3da125 100644
--- a/docs/my-website/docs/proxy/cost_tracking.md
+++ b/docs/my-website/docs/proxy/cost_tracking.md
@@ -255,6 +255,198 @@ curl -L -X GET 'http://localhost:4000/user/daily/activity?start_date=2025-03-20&
 
 See our [Swagger API](https://litellm-api.up.railway.app/#/Budget%20%26%20Spend%20Tracking/get_user_daily_activity_user_daily_activity_get) for more details on the `/user/daily/activity` endpoint
 
+## Custom Tags
+
+Requirements: 
+
+- Virtual Keys & a database should be set up, see [virtual keys](https://docs.litellm.ai/docs/proxy/virtual_keys)
+
+**Note:** By default, LiteLLM will track `User-Agent` as a custom tag for cost tracking. This enables viewing usage for tools like Claude Code, Gemini CLI, etc. 
+
+
+<Image img={require('../../img/claude_cli_tag_usage.png')} />
+
+
+### Client-side spend tag
+
+<Tabs>
+<TabItem value="key" label="Set on Key">
+
+```bash
+curl -L -X POST 'http://0.0.0.0:4000/key/generate' \
+-H 'Authorization: Bearer sk-1234' \
+-H 'Content-Type: application/json' \
+-d '{
+    "metadata": {
+        "tags": ["tag1", "tag2", "tag3"]
+    }
+}
+
+'
+```
+
+</TabItem>
+<TabItem value="team" label="Set on Team">
+
+```bash
+curl -L -X POST 'http://0.0.0.0:4000/team/new' \
+-H 'Authorization: Bearer sk-1234' \
+-H 'Content-Type: application/json' \
+-d '{
+    "metadata": {
+        "tags": ["tag1", "tag2", "tag3"]
+    }
+}
+
+'
+```
+
+</TabItem>
+<TabItem value="openai" label="OpenAI Python v1.0.0+">
+
+Set `extra_body={"metadata": { }}` to `metadata` you want to pass
+
+```python
+import openai
+client = openai.OpenAI(
+    api_key="anything",
+    base_url="http://0.0.0.0:4000"
+)
+
+
+response = client.chat.completions.create(
+    model="gpt-3.5-turbo",
+    messages = [
+        {
+            "role": "user",
+            "content": "this is a test request, write a short poem"
+        }
+    ],
+    extra_body={
+        "metadata": {
+            "tags": ["model-anthropic-claude-v2.1", "app-ishaan-prod"] # 👈 Key Change
+        }
+    }
+)
+
+print(response)
+```
+</TabItem>
+
+
+<TabItem value="openai js" label="OpenAI JS">
+
+```js
+const openai = require('openai');
+
+async function runOpenAI() {
+  const client = new openai.OpenAI({
+    apiKey: 'sk-1234',
+    baseURL: 'http://0.0.0.0:4000'
+  });
+
+  try {
+    const response = await client.chat.completions.create({
+      model: 'gpt-3.5-turbo',
+      messages: [
+        {
+          role: 'user',
+          content: "this is a test request, write a short poem"
+        },
+      ],
+      metadata: {
+        tags: ["model-anthropic-claude-v2.1", "app-ishaan-prod"] // 👈 Key Change
+      }
+    });
+    console.log(response);
+  } catch (error) {
+    console.log("got this exception from server");
+    console.error(error);
+  }
+}
+
+// Call the asynchronous function
+runOpenAI();
+```
+</TabItem>
+
+<TabItem value="Curl" label="Curl Request">
+
+Pass `metadata` as part of the request body
+
+```shell
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+    --header 'Content-Type: application/json' \
+    --data '{
+    "model": "gpt-3.5-turbo",
+    "messages": [
+        {
+        "role": "user",
+        "content": "what llm are you"
+        }
+    ],
+    "metadata": {"tags": ["model-anthropic-claude-v2.1", "app-ishaan-prod"]}
+}'
+```
+</TabItem>
+<TabItem value="langchain" label="Langchain">
+
+```python
+from langchain.chat_models import ChatOpenAI
+from langchain.prompts.chat import (
+    ChatPromptTemplate,
+    HumanMessagePromptTemplate,
+    SystemMessagePromptTemplate,
+)
+from langchain.schema import HumanMessage, SystemMessage
+
+chat = ChatOpenAI(
+    openai_api_base="http://0.0.0.0:4000",
+    model = "gpt-3.5-turbo",
+    temperature=0.1,
+    extra_body={
+        "metadata": {
+            "tags": ["model-anthropic-claude-v2.1", "app-ishaan-prod"]
+        }
+    }
+)
+
+messages = [
+    SystemMessage(
+        content="You are a helpful assistant that im using to make a test request to."
+    ),
+    HumanMessage(
+        content="test from litellm. tell me why it's amazing in 1 sentence"
+    ),
+]
+response = chat(messages)
+
+print(response)
+```
+
+</TabItem>
+</Tabs>
+
+
+
+### Add custom headers to spend tracking
+
+You can add custom headers to the request to track spend and usage.
+
+```yaml
+litellm_settings:
+  extra_spend_tag_headers:
+    - "x-custom-header"
+```
+
+### Disable user-agent tracking
+
+You can disable user-agent tracking by setting `litellm_settings.disable_user_agent_tracking` to `true`.
+
+```yaml
+litellm_settings:
+  disable_user_agent_tracking: true
+```
 ## ✨ (Enterprise) Generate Spend Reports 
 
 Use this to charge other teams, customers, users
@@ -617,11 +809,5 @@ Logging specific key,value pairs in spend logs metadata is an enterprise feature
 :::
 
 
-## ✨ Custom Tags
 
-:::info 
-
-Tracking spend with Custom tags is an enterprise feature. [See here](./enterprise.md#tracking-spend-for-custom-tags)
-
-:::
 
diff --git a/docs/my-website/docs/proxy/custom_root_ui.md b/docs/my-website/docs/proxy/custom_root_ui.md
index 1bab9431474..28ef57d81a4 100644
--- a/docs/my-website/docs/proxy/custom_root_ui.md
+++ b/docs/my-website/docs/proxy/custom_root_ui.md
@@ -12,6 +12,9 @@ Requires v1.72.3 or higher.
 
 :::
 
+Limitations:
+- This does not work in [litellm non-root](./deploy#non-root---without-internet-connection) images, as it requires write access to the UI files.
+
 ## Usage
 
 ### 1. Set `SERVER_ROOT_PATH` in your .env
diff --git a/docs/my-website/docs/proxy/enterprise.md b/docs/my-website/docs/proxy/enterprise.md
index 8ea8e748e94..d5ba3fc7f53 100644
--- a/docs/my-website/docs/proxy/enterprise.md
+++ b/docs/my-website/docs/proxy/enterprise.md
@@ -29,7 +29,6 @@ Features:
     - ✅ [Team Based Logging](./team_logging.md) - Allow each team to use their own Langfuse Project / custom callbacks
     - ✅ [Disable Logging for a Team](./team_logging.md#disable-logging-for-a-team) - Switch off all logging for a team/project (GDPR Compliance)
 - **Spend Tracking & Data Exports**
-    - ✅ [Tracking Spend for Custom Tags](#tracking-spend-for-custom-tags)
     - ✅ [Set USD Budgets Spend for Custom Tags](./provider_budget_routing#-tag-budgets)
     - ✅ [Set Model budgets for Virtual Keys](./users#-virtual-key-model-specific)
     - ✅ [Exporting LLM Logs to GCS Bucket, Azure Blob Storage](./proxy/bucket#🪣-logging-gcs-s3-buckets)
@@ -332,174 +331,6 @@ curl --location 'http://0.0.0.0:4000/embeddings' \
 
 ## Spend Tracking
 
-### Custom Tags
-
-Requirements: 
-
-- Virtual Keys & a database should be set up, see [virtual keys](https://docs.litellm.ai/docs/proxy/virtual_keys)
-
-#### Usage - /chat/completions requests with request tags 
-
-
-<Tabs>
-<TabItem value="key" label="Set on Key">
-
-```bash
-curl -L -X POST 'http://0.0.0.0:4000/key/generate' \
--H 'Authorization: Bearer sk-1234' \
--H 'Content-Type: application/json' \
--d '{
-    "metadata": {
-        "tags": ["tag1", "tag2", "tag3"]
-    }
-}
-
-'
-```
-
-</TabItem>
-<TabItem value="team" label="Set on Team">
-
-```bash
-curl -L -X POST 'http://0.0.0.0:4000/team/new' \
--H 'Authorization: Bearer sk-1234' \
--H 'Content-Type: application/json' \
--d '{
-    "metadata": {
-        "tags": ["tag1", "tag2", "tag3"]
-    }
-}
-
-'
-```
-
-</TabItem>
-<TabItem value="openai" label="OpenAI Python v1.0.0+">
-
-Set `extra_body={"metadata": { }}` to `metadata` you want to pass
-
-```python
-import openai
-client = openai.OpenAI(
-    api_key="anything",
-    base_url="http://0.0.0.0:4000"
-)
-
-
-response = client.chat.completions.create(
-    model="gpt-3.5-turbo",
-    messages = [
-        {
-            "role": "user",
-            "content": "this is a test request, write a short poem"
-        }
-    ],
-    extra_body={
-        "metadata": {
-            "tags": ["model-anthropic-claude-v2.1", "app-ishaan-prod"] # 👈 Key Change
-        }
-    }
-)
-
-print(response)
-```
-</TabItem>
-
-
-<TabItem value="openai js" label="OpenAI JS">
-
-```js
-const openai = require('openai');
-
-async function runOpenAI() {
-  const client = new openai.OpenAI({
-    apiKey: 'sk-1234',
-    baseURL: 'http://0.0.0.0:4000'
-  });
-
-  try {
-    const response = await client.chat.completions.create({
-      model: 'gpt-3.5-turbo',
-      messages: [
-        {
-          role: 'user',
-          content: "this is a test request, write a short poem"
-        },
-      ],
-      metadata: {
-        tags: ["model-anthropic-claude-v2.1", "app-ishaan-prod"] // 👈 Key Change
-      }
-    });
-    console.log(response);
-  } catch (error) {
-    console.log("got this exception from server");
-    console.error(error);
-  }
-}
-
-// Call the asynchronous function
-runOpenAI();
-```
-</TabItem>
-
-<TabItem value="Curl" label="Curl Request">
-
-Pass `metadata` as part of the request body
-
-```shell
-curl --location 'http://0.0.0.0:4000/chat/completions' \
-    --header 'Content-Type: application/json' \
-    --data '{
-    "model": "gpt-3.5-turbo",
-    "messages": [
-        {
-        "role": "user",
-        "content": "what llm are you"
-        }
-    ],
-    "metadata": {"tags": ["model-anthropic-claude-v2.1", "app-ishaan-prod"]}
-}'
-```
-</TabItem>
-<TabItem value="langchain" label="Langchain">
-
-```python
-from langchain.chat_models import ChatOpenAI
-from langchain.prompts.chat import (
-    ChatPromptTemplate,
-    HumanMessagePromptTemplate,
-    SystemMessagePromptTemplate,
-)
-from langchain.schema import HumanMessage, SystemMessage
-
-chat = ChatOpenAI(
-    openai_api_base="http://0.0.0.0:4000",
-    model = "gpt-3.5-turbo",
-    temperature=0.1,
-    extra_body={
-        "metadata": {
-            "tags": ["model-anthropic-claude-v2.1", "app-ishaan-prod"]
-        }
-    }
-)
-
-messages = [
-    SystemMessage(
-        content="You are a helpful assistant that im using to make a test request to."
-    ),
-    HumanMessage(
-        content="test from litellm. tell me why it's amazing in 1 sentence"
-    ),
-]
-response = chat(messages)
-
-print(response)
-```
-
-</TabItem>
-</Tabs>
-
-
 #### Viewing Spend per tag
 
 #### `/spend/tags` Request Format 
diff --git a/docs/my-website/docs/proxy/guardrails/panw_prisma_airs.md b/docs/my-website/docs/proxy/guardrails/panw_prisma_airs.md
index 6e38214e565..20cbc60a3e9 100644
--- a/docs/my-website/docs/proxy/guardrails/panw_prisma_airs.md
+++ b/docs/my-website/docs/proxy/guardrails/panw_prisma_airs.md
@@ -124,7 +124,6 @@ Expected response on failure:
 ```
 
 </TabItem>
-
 <TabItem label="Successful Call" value="allowed">
 
 ```shell
diff --git a/docs/my-website/docs/tutorials/litellm_gemini_cli.md b/docs/my-website/docs/tutorials/litellm_gemini_cli.md
index 6c37c47c206..bf8e2cb44cb 100644
--- a/docs/my-website/docs/tutorials/litellm_gemini_cli.md
+++ b/docs/my-website/docs/tutorials/litellm_gemini_cli.md
@@ -5,7 +5,7 @@ This tutorial shows you how to integrate the Gemini CLI with LiteLLM Proxy, allo
 
 :::info 
 
-This integration is supported from LiteLLMv1.73.3-nightly and above.
+This integration is supported from LiteLLM v1.73.3-nightly and above.
 
 :::
 
@@ -13,6 +13,19 @@ This integration is supported from LiteLLMv1.73.3-nightly and above.
 
 <iframe width="840" height="500" src="https://www.loom.com/embed/d5dadd811ae64c70b29a16ecd558d4ba" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>
 
+## Benefits of using gemini-cli with LiteLLM
+
+When you use gemini-cli with LiteLLM you get the following benefits:
+
+**Developer Benefits:**
+- Universal Model Access: Use any LiteLLM supported model (Anthropic, OpenAI, Vertex AI, Bedrock, etc.) through the gemini-cli interface.
+- Higher Rate Limits & Reliability: Load balance across multiple models and providers to avoid hitting individual provider limits, with fallbacks to ensure you get responses even if one provider fails.
+
+**Proxy Admin Benefits:**
+- Centralized Management: Control access to all models through a single LiteLLM proxy instance without giving your developers API Keys to each provider.
+- Budget Controls: Set spending limits and track costs across all gemini-cli usage.
+
+
 
 ## Prerequisites
 
@@ -63,6 +76,99 @@ The CLI will now use LiteLLM Proxy as the backend, giving you access to LiteLLM'
 - Cost tracking
 - Model routing and fallbacks
 
+
+## Advanced
+
+### Use Anthropic, OpenAI, Bedrock, etc. models on gemini-cli
+
+In order to use non-gemini models on gemini-cli, you need to set a `model_group_alias` in the LiteLLM Proxy config. This tells LiteLLM that requests with model = `gemini-2.5-pro` should be routed to your desired model from any provider.
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+<Tabs>
+<TabItem value="anthropic" label="Anthropic">
+
+Route `gemini-2.5-pro` requests to Claude Sonnet:
+
+```yaml showLineNumbers title="proxy_config.yaml"
+model_list:
+  - model_name: claude-sonnet-4-20250514
+    litellm_params:
+      model: anthropic/claude-3-5-sonnet-20241022
+      api_key: os.environ/ANTHROPIC_API_KEY
+
+router_settings:
+  model_group_alias: {"gemini-2.5-pro": "claude-sonnet-4-20250514"}
+```
+
+</TabItem>
+<TabItem value="openai" label="OpenAI">
+
+Route `gemini-2.5-pro` requests to GPT-4o:
+
+```yaml showLineNumbers title="proxy_config.yaml"
+model_list:
+  - model_name: gpt-4o-model
+    litellm_params:
+      model: gpt-4o
+      api_key: os.environ/OPENAI_API_KEY
+
+router_settings:
+  model_group_alias: {"gemini-2.5-pro": "gpt-4o-model"}
+```
+
+</TabItem>
+<TabItem value="bedrock" label="Bedrock">
+
+Route `gemini-2.5-pro` requests to Claude on Bedrock:
+
+```yaml showLineNumbers title="proxy_config.yaml"
+model_list:
+  - model_name: bedrock-claude
+    litellm_params:
+      model: bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0
+      aws_access_key_id: os.environ/AWS_ACCESS_KEY_ID
+      aws_secret_access_key: os.environ/AWS_SECRET_ACCESS_KEY
+      aws_region_name: us-east-1
+
+router_settings:
+  model_group_alias: {"gemini-2.5-pro": "bedrock-claude"}
+```
+
+</TabItem>
+<TabItem value="multi-provider" label="Multi-Provider Load Balancing">
+
+All deployments with model_name=`anthropic-claude` will be load balanced. In this example we load balance between Anthropic and Bedrock.
+
+```yaml showLineNumbers title="proxy_config.yaml"
+model_list:
+  - model_name: anthropic-claude
+    litellm_params:
+      model: anthropic/claude-3-5-sonnet-20241022
+      api_key: os.environ/ANTHROPIC_API_KEY  
+  - model_name: anthropic-claude
+    litellm_params:
+      model: bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0
+      aws_access_key_id: os.environ/AWS_ACCESS_KEY_ID
+      aws_secret_access_key: os.environ/AWS_SECRET_ACCESS_KEY
+      aws_region_name: us-east-1
+
+router_settings:
+  model_group_alias: {"gemini-2.5-pro": "anthropic-claude"}
+```
+
+</TabItem>
+</Tabs>
+
+With this configuration, when you use `gemini-2.5-pro` in the CLI, LiteLLM will automatically route your requests to the configured provider(s) with load balancing and fallbacks.
+
+
+
+
+
+
+
 ## Troubleshooting
 
 If you encounter issues:
diff --git a/docs/my-website/docs/tutorials/openweb_ui.md b/docs/my-website/docs/tutorials/openweb_ui.md
index 82ff475add9..1744366b477 100644
--- a/docs/my-website/docs/tutorials/openweb_ui.md
+++ b/docs/my-website/docs/tutorials/openweb_ui.md
@@ -135,3 +135,18 @@ On the models dropdown select `thinking-anthropic-claude-3-7-sonnet`
 
 ## Additional Resources
 - Running LiteLLM and Open WebUI on Windows Localhost: A Comprehensive Guide [https://www.tanyongsheng.com/note/running-litellm-and-openwebui-on-windows-localhost-a-comprehensive-guide/](https://www.tanyongsheng.com/note/running-litellm-and-openwebui-on-windows-localhost-a-comprehensive-guide/)
+
+
+## Add Custom Headers to Spend Tracking
+
+You can add custom headers to the request to track spend and usage.
+
+```yaml
+litellm_settings:
+  extra_spend_tag_headers:
+    - "x-custom-header"
+```
+
+You can add custom headers to the request to track spend and usage.
+
+<Image img={require('../../img/custom_tag_headers.png')} />
\ No newline at end of file
diff --git a/docs/my-website/img/claude_cli_tag_usage.png b/docs/my-website/img/claude_cli_tag_usage.png
new file mode 100644
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diff --git a/docs/my-website/release_notes/v1.73.6-stable/index.md b/docs/my-website/release_notes/v1.73.6-stable/index.md
new file mode 100644
index 00000000000..76c51ddbf35
--- /dev/null
+++ b/docs/my-website/release_notes/v1.73.6-stable/index.md
@@ -0,0 +1,277 @@
+---
+title: "[PRE-RELEASE] v1.73.6-stable"
+slug: "v1-73-6-stable"
+date: 2025-06-28T10:00:00
+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';
+
+
+:::warning
+
+## Known Issues
+
+The `non-root` docker image has a known issue around the UI not loading. If you use the `non-root` docker image we recommend waiting before upgrading to this version. We will post a patch fix for this.
+
+:::
+
+## 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:v1.73.6.rc.1
+```
+</TabItem>
+
+<TabItem value="pip" label="Pip">
+
+The pip package is not yet available.
+
+</TabItem>
+</Tabs>
+
+---
+
+## Key Highlights 
+
+
+### Claude on gemini-cli
+
+
+<Image img={require('../../img/release_notes/gemini_cli.png')} />
+
+<br/>
+
+This release brings support for using gemini-cli with LiteLLM. 
+
+You can use claude-sonnet-4, gemini-2.5-flash (Vertex AI & Google AI Studio), gpt-4.1 and any LiteLLM supported model on gemini-cli.
+
+When you use gemini-cli with LiteLLM you get the following benefits:
+
+**Developer Benefits:**
+- Universal Model Access: Use any LiteLLM supported model (Anthropic, OpenAI, Vertex AI, Bedrock, etc.) through the gemini-cli interface.
+- Higher Rate Limits & Reliability: Load balance across multiple models and providers to avoid hitting individual provider limits, with fallbacks to ensure you get responses even if one provider fails.
+
+**Proxy Admin Benefits:**
+- Centralized Management: Control access to all models through a single LiteLLM proxy instance without giving your developers API Keys to each provider.
+- Budget Controls: Set spending limits and track costs across all gemini-cli usage.
+
+[Get Started](../../docs/tutorials/litellm_gemini_cli)
+
+<br/>
+
+### Batch API Cost Tracking
+
+<Image img={require('../../img/release_notes/batch_api_cost_tracking.jpg')}/>
+
+<br/>
+
+v1.73.6 brings cost tracking for [LiteLLM Managed Batch API](../../docs/proxy/managed_batches) calls to LiteLLM. Previously, this was not being done for Batch API calls using LiteLLM Managed Files. Now, LiteLLM will store the status of each batch call in the DB and poll incomplete batch jobs in the background, emitting a spend log for cost tracking once the batch is complete.
+
+There is no new flag / change needed on your end. Over the next few weeks we hope to extend this to cover batch cost tracking for the Anthropic passthrough as well. 
+
+
+[Get Started](../../docs/proxy/managed_batches)
+
+---
+
+## New Models / Updated Models
+
+### Pricing / Context Window Updates
+
+| Provider    | Model                                  | Context Window | Input ($/1M tokens) | Output ($/1M tokens) | Type |
+| ----------- | -------------------------------------- | -------------- | ------------------- | -------------------- | ---- |
+| Azure OpenAI | `azure/o3-pro` | 200k | $20.00 | $80.00 | New |
+| OpenRouter | `openrouter/mistralai/mistral-small-3.2-24b-instruct` | 32k | $0.1 | $0.3 | New |
+| OpenAI | `o3-deep-research` | 200k | $10.00 | $40.00 | New |
+| OpenAI | `o3-deep-research-2025-06-26` | 200k | $10.00 | $40.00 | New |
+| OpenAI | `o4-mini-deep-research` | 200k | $2.00 | $8.00 | New |
+| OpenAI | `o4-mini-deep-research-2025-06-26` | 200k | $2.00 | $8.00 | New |
+| Deepseek | `deepseek-r1` | 65k | $0.55 | $2.19 | New |
+| Deepseek | `deepseek-v3` | 65k | $0.27 | $0.07 | New |
+
+
+### Updated Models
+#### Bugs
+    - **[Sambanova](../../docs/providers/sambanova)**
+        - Handle float timestamps - [PR](https://github.com/BerriAI/litellm/pull/11971) s/o [@neubig](https://github.com/neubig)
+    - **[Azure](../../docs/providers/azure)**
+        - support Azure Authentication method (azure ad token, api keys) on Responses API - [PR](https://github.com/BerriAI/litellm/pull/11941) s/o [@hsuyuming](https://github.com/hsuyuming)
+        - Map ‘image_url’ str as nested dict - [PR](https://github.com/BerriAI/litellm/pull/12075) s/o [@davis-featherstone](https://github.com/davis-featherstone)
+    - **[Watsonx](../../docs/providers/watsonx)**
+        - Set ‘model’ field to None when model is part of a custom deployment - fixes error raised by WatsonX in those cases - [PR](https://github.com/BerriAI/litellm/pull/11854) s/o [@cbjuan](https://github.com/cbjuan)
+    - **[Perplexity](../../docs/providers/perplexity)**
+        - Support web_search_options - [PR](https://github.com/BerriAI/litellm/pull/11983)
+        - Support citation token and search queries cost calculation - [PR](https://github.com/BerriAI/litellm/pull/11938)
+    - **[Anthropic](../../docs/providers/anthropic)**
+        - Null value in usage block handling - [PR](https://github.com/BerriAI/litellm/pull/12068)
+    - **Gemini ([Google AI Studio](../../docs/providers/gemini) + [VertexAI](../../docs/providers/vertex))**
+        - Only use accepted format values (enum and datetime) - else gemini raises errors - [PR](https://github.com/BerriAI/litellm/pull/11989) 
+        - Cache tools if passed alongside cached content (else gemini raises an error) - [PR](https://github.com/BerriAI/litellm/pull/11989)
+        - Json schema translation improvement: Fix unpack_def handling of nested $ref inside anyof items - [PR](https://github.com/BerriAI/litellm/pull/11964)
+    - **[Mistral](../../docs/providers/mistral)**
+        - Fix thinking prompt to match hugging face recommendation - [PR](https://github.com/BerriAI/litellm/pull/12007)
+        - Add `supports_response_schema: true` for all mistral models except codestral-mamba - [PR](https://github.com/BerriAI/litellm/pull/12024)
+    - **[Ollama](../../docs/providers/ollama)**
+        - Fix unnecessary await on embedding calls - [PR](https://github.com/BerriAI/litellm/pull/12024)
+#### Features
+    - **[Azure OpenAI](../../docs/providers/azure)**
+        - Check if o-series model supports reasoning effort (enables drop_params to work for o1 models) 
+        - Assistant + tool use cost tracking - [PR](https://github.com/BerriAI/litellm/pull/12045)
+    - **[Nvidia Nim](../../docs/providers/nvidia_nim)**
+        - Add ‘response_format’ param support - [PR](https://github.com/BerriAI/litellm/pull/12003) @shagunb-acn 
+    - **[ElevenLabs](../../docs/providers/elevenlabs)**
+        - New STT provider - [PR](https://github.com/BerriAI/litellm/pull/12119)
+
+---
+## LLM API Endpoints
+
+#### Features
+    - [**/mcp**](../../docs/mcp)
+        - Send appropriate auth string value to `/tool/call` endpoint with `x-mcp-auth` - [PR](https://github.com/BerriAI/litellm/pull/11968) s/o [@wagnerjt](https://github.com/wagnerjt)
+    - [**/v1/messages**](../../docs/anthropic_unified)
+        - [Custom LLM](../../docs/providers/custom_llm_server#anthropic-v1messages) support - [PR](https://github.com/BerriAI/litellm/pull/12016)
+    - [**/chat/completions**](../../docs/completion/input)
+        - Azure Responses API via chat completion support - [PR](https://github.com/BerriAI/litellm/pull/12016)
+    - [**/responses**](../../docs/response_api)
+        - Add reasoning content support for non-openai providers - [PR](https://github.com/BerriAI/litellm/pull/12055)
+    - **[NEW] /generateContent**
+        - New endpoints for gemini cli support - [PR](https://github.com/BerriAI/litellm/pull/12040)
+        - Support calling Google AI Studio / VertexAI Gemini models in their native format - [PR](https://github.com/BerriAI/litellm/pull/12046)
+        - Add logging + cost tracking for stream + non-stream vertex/google ai studio routes - [PR](https://github.com/BerriAI/litellm/pull/12058)
+        - Add Bridge from generateContent to /chat/completions - [PR](https://github.com/BerriAI/litellm/pull/12081)
+    - [**/batches**](../../docs/batches)
+        - Filter deployments to only those where managed file was written to - [PR](https://github.com/BerriAI/litellm/pull/12048)
+        - Save all model / file id mappings in db (previously it was just the first one) - enables ‘true’ loadbalancing - [PR](https://github.com/BerriAI/litellm/pull/12048)
+        - Support List Batches with target model name specified - [PR](https://github.com/BerriAI/litellm/pull/12049)
+
+---
+## Spend Tracking / Budget Improvements
+
+#### Features
+    - [**Passthrough**](../../docs/pass_through)
+        - [Bedrock](../../docs/pass_through/bedrock) - cost tracking (`/invoke` + `/converse` routes) on streaming + non-streaming - [PR](https://github.com/BerriAI/litellm/pull/12123)
+        - [VertexAI](../../docs/pass_through/vertex_ai) - anthropic cost calculation support - [PR](https://github.com/BerriAI/litellm/pull/11992)
+    - [**Batches**](../../docs/batches)
+        - Background job for cost tracking LiteLLM Managed batches - [PR](https://github.com/BerriAI/litellm/pull/12125)
+
+---
+## Management Endpoints / UI
+
+#### Bugs
+    - **General UI**
+        - Fix today selector date mutation in dashboard components - [PR](https://github.com/BerriAI/litellm/pull/12042)
+    - **Usage**
+        - Aggregate usage data across all pages of paginated endpoint - [PR](https://github.com/BerriAI/litellm/pull/12033)
+    - **Teams**
+        - De-duplicate models in team settings dropdown - [PR](https://github.com/BerriAI/litellm/pull/12074)
+    - **Models**
+        - Preserve public model name when selecting ‘test connect’ with azure model (previously would reset) - [PR](https://github.com/BerriAI/litellm/pull/11713)
+    - **Invitation Links**
+        - Ensure Invite links email contain the correct invite id when using tf provider - [PR](https://github.com/BerriAI/litellm/pull/12130)
+#### Features
+    - **Models**
+        - Add ‘last success’ column to health check table - [PR](https://github.com/BerriAI/litellm/pull/11903)
+    - **MCP**
+        - New UI component to support auth types: api key, bearer token, basic auth - [PR](https://github.com/BerriAI/litellm/pull/11968) s/o [@wagnerjt](https://github.com/wagnerjt)
+        - Ensure internal users can access /mcp and /mcp/ routes - [PR](https://github.com/BerriAI/litellm/pull/12106)
+    - **SCIM**
+        - Ensure default_internal_user_params are applied for new users - [PR](https://github.com/BerriAI/litellm/pull/12015)
+    - **Team**
+        - Support default key expiry for team member keys - [PR](https://github.com/BerriAI/litellm/pull/12023)
+        - Expand team member add check to cover user email - [PR](https://github.com/BerriAI/litellm/pull/12082)
+    - **UI**
+        - Restrict UI access by SSO group - [PR](https://github.com/BerriAI/litellm/pull/12023)
+    - **Keys**
+        - Add new new_key param for regenerating key - [PR](https://github.com/BerriAI/litellm/pull/12087)
+    - **Test Keys**
+        - New ‘get code’ button for getting runnable python code snippet based on ui configuration - [PR](https://github.com/BerriAI/litellm/pull/11629)
+
+--- 
+
+## Logging / Guardrail Integrations
+
+#### Bugs
+    - **Braintrust**
+        - Adds model to metadata to enable braintrust cost estimation - [PR](https://github.com/BerriAI/litellm/pull/12022)
+#### Features
+    - **Callbacks**
+        - (Enterprise) - disable logging callbacks in request headers - [PR](https://github.com/BerriAI/litellm/pull/11985)
+        - Add List Callbacks API Endpoint - [PR](https://github.com/BerriAI/litellm/pull/11987)
+    - **Bedrock Guardrail**
+        - Don't raise exception on intervene action - [PR](https://github.com/BerriAI/litellm/pull/11875)
+        - Ensure PII Masking is applied on response streaming or non streaming content when using post call - [PR](https://github.com/BerriAI/litellm/pull/12086)
+    - **[NEW] Palo Alto Networks Prisma AIRS Guardrail**
+        - [PR](https://github.com/BerriAI/litellm/pull/12116)
+    - **ElasticSearch**
+        - New Elasticsearch Logging Tutorial - [PR](https://github.com/BerriAI/litellm/pull/11761)
+    - **Message Redaction**
+        - Preserve usage / model information  for Embedding redaction - [PR](https://github.com/BerriAI/litellm/pull/12088)
+
+---
+
+## Performance / Loadbalancing / Reliability improvements
+
+#### Bugs
+    - **Team-only models**
+        - Filter team-only models from routing logic for non-team calls
+    - **Context Window Exceeded error**
+        - Catch anthropic exceptions - [PR](https://github.com/BerriAI/litellm/pull/12113)
+#### Features
+    - **Router**
+        - allow using dynamic cooldown time for a specific deployment - [PR](https://github.com/BerriAI/litellm/pull/12037)
+        - handle cooldown_time = 0 for deployments - [PR](https://github.com/BerriAI/litellm/pull/12108)
+    - **Redis**
+        - Add better debugging to see what variables are set - [PR](https://github.com/BerriAI/litellm/pull/12073)
+
+---
+
+## General Proxy Improvements
+
+#### Bugs
+    - **aiohttp**
+        - Check HTTP_PROXY vars in networking requests
+        - Allow using HTTP_ Proxy settings with trust_env
+
+#### Features
+    - **Docs**
+        - Add recommended spec - [PR](https://github.com/BerriAI/litellm/pull/11980)
+    - **Swagger**
+        - Introduce new environment variable NO_REDOC to opt-out Redoc - [PR](https://github.com/BerriAI/litellm/pull/12092)
+
+
+---
+
+## New Contributors
+* @mukesh-dream11 made their first contribution in https://github.com/BerriAI/litellm/pull/11969
+* @cbjuan made their first contribution in https://github.com/BerriAI/litellm/pull/11854
+* @ryan-castner made their first contribution in https://github.com/BerriAI/litellm/pull/12055
+* @davis-featherstone made their first contribution in https://github.com/BerriAI/litellm/pull/12075
+* @Gum-Joe made their first contribution in https://github.com/BerriAI/litellm/pull/12068
+* @jroberts2600 made their first contribution in https://github.com/BerriAI/litellm/pull/12116
+* @ohmeow made their first contribution in https://github.com/BerriAI/litellm/pull/12022
+* @amarrella made their first contribution in https://github.com/BerriAI/litellm/pull/11942
+* @zhangyoufu made their first contribution in https://github.com/BerriAI/litellm/pull/12092
+* @bougou made their first contribution in https://github.com/BerriAI/litellm/pull/12088
+* @codeugar made their first contribution in https://github.com/BerriAI/litellm/pull/11972
+* @glgh made their first contribution in https://github.com/BerriAI/litellm/pull/12133
+
+## **[Git Diff](https://github.com/BerriAI/litellm/compare/v1.73.0-stable...v1.73.6.rc-draft)**
diff --git a/enterprise/dist/litellm_enterprise-0.1.10-py3-none-any.whl b/enterprise/dist/litellm_enterprise-0.1.10-py3-none-any.whl
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D>J&UL

literal 0
HcmV?d00001

diff --git a/enterprise/poetry.lock b/enterprise/poetry.lock
index f526fec8da0..bb436a168cd 100644
--- a/enterprise/poetry.lock
+++ b/enterprise/poetry.lock
@@ -1,7 +1,7 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
 package = []
 
 [metadata]
-lock-version = "2.0"
+lock-version = "2.1"
 python-versions = ">=3.8.1,<4.0, !=3.9.7"
 content-hash = "2cf39473e67ff0615f0a61c9d2ac9f02b38cc08cbb1bdb893d89bee002646623"
diff --git a/enterprise/pyproject.toml b/enterprise/pyproject.toml
index a650eda22b1..3095245c6c7 100644
--- a/enterprise/pyproject.toml
+++ b/enterprise/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "litellm-enterprise"
-version = "0.1.9"
+version = "0.1.10"
 description = "Package for LiteLLM Enterprise features"
 authors = ["BerriAI"]
 readme = "README.md"
@@ -22,7 +22,7 @@ requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.commitizen]
-version = "0.1.9"
+version = "0.1.10"
 version_files = [
     "pyproject.toml:version",
     "../requirements.txt:litellm-enterprise==",
diff --git a/litellm/__init__.py b/litellm/__init__.py
index fc8b8e6f44b..0ec8a1e01b5 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -61,12 +61,8 @@ from litellm.constants import (
     DEFAULT_ALLOWED_FAILS,
 )
 from litellm.types.guardrails import GuardrailItem
-from litellm.proxy._types import (
-    KeyManagementSystem,
-    KeyManagementSettings,
-    LiteLLM_UpperboundKeyGenerateParams,
-)
-from litellm.types.proxy.management_endpoints.ui_sso import DefaultTeamSSOParams
+from litellm.types.secret_managers.main import KeyManagementSystem, KeyManagementSettings
+from litellm.types.proxy.management_endpoints.ui_sso import DefaultTeamSSOParams, LiteLLM_UpperboundKeyGenerateParams
 from litellm.types.utils import StandardKeyGenerationConfig, LlmProviders
 from litellm.integrations.custom_logger import CustomLogger
 from litellm.litellm_core_utils.logging_callback_manager import LoggingCallbackManager
@@ -76,6 +72,7 @@ import dotenv
 litellm_mode = os.getenv("LITELLM_MODE", "DEV")  # "PRODUCTION", "DEV"
 if litellm_mode == "DEV":
     dotenv.load_dotenv()
+
 ##################################################
 if set_verbose == True:
     _turn_on_debug()
@@ -221,6 +218,7 @@ disable_streaming_logging: bool = False
 disable_token_counter: bool = False
 disable_add_transform_inline_image_block: bool = False
 disable_add_user_agent_to_request_tags: bool = False
+extra_spend_tag_headers: Optional[List[str]] = None
 in_memory_llm_clients_cache: LLMClientCache = LLMClientCache()
 safe_memory_mode: bool = False
 enable_azure_ad_token_refresh: Optional[bool] = False
@@ -323,9 +321,11 @@ priority_reservation: Optional[Dict[str, float]] = None
 use_aiohttp_transport: bool = (
     True  # Older variable, aiohttp is now the default. use disable_aiohttp_transport instead.
 )
-aiohttp_trust_env: bool = False # set to true to use HTTP_ Proxy settings
+aiohttp_trust_env: bool = False  # set to true to use HTTP_ Proxy settings
 disable_aiohttp_transport: bool = False  # Set this to true to use httpx instead
-disable_aiohttp_trust_env: bool = False  # When False, aiohttp will respect HTTP(S)_PROXY env vars
+disable_aiohttp_trust_env: bool = (
+    False  # When False, aiohttp will respect HTTP(S)_PROXY env vars
+)
 force_ipv4: bool = (
     False  # when True, litellm will force ipv4 for all LLM requests. Some users have seen httpx ConnectionError when using ipv6.
 )
@@ -1157,6 +1157,7 @@ from .fine_tuning.main import *
 from .files.main import *
 from .scheduler import *
 from .cost_calculator import response_cost_calculator, cost_per_token
+
 ### ADAPTERS ###
 from .types.adapter import AdapterItem
 import litellm.anthropic_interface as anthropic
diff --git a/litellm/_service_logger.py b/litellm/_service_logger.py
index 969a9ef1483..3128f02f409 100644
--- a/litellm/_service_logger.py
+++ b/litellm/_service_logger.py
@@ -4,7 +4,6 @@ from typing import TYPE_CHECKING, Any, Optional, Union
 
 import litellm
 from litellm._logging import verbose_logger
-from litellm.proxy._types import UserAPIKeyAuth
 
 from .integrations.custom_logger import CustomLogger
 from .integrations.datadog.datadog import DataDogLogger
@@ -15,11 +14,14 @@ from .types.services import ServiceLoggerPayload, ServiceTypes
 if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
+    from litellm.proxy._types import UserAPIKeyAuth
+
     Span = Union[_Span, Any]
     OTELClass = OpenTelemetry
 else:
     Span = Any
     OTELClass = Any
+    UserAPIKeyAuth = Any
 
 
 class ServiceLogging(CustomLogger):
diff --git a/litellm/google_genai/adapters/transformation.py b/litellm/google_genai/adapters/transformation.py
index 915e436b216..e80da47d5ea 100644
--- a/litellm/google_genai/adapters/transformation.py
+++ b/litellm/google_genai/adapters/transformation.py
@@ -26,50 +26,53 @@ class GoogleGenAIStreamWrapper(AdapterCompletionStreamWrapper):
     Wrapper for streaming Google GenAI generate_content responses.
     Transforms OpenAI streaming chunks to Google GenAI format.
     """
-    
+
     sent_first_chunk: bool = False
     # State tracking for accumulating partial tool calls
     accumulated_tool_calls: Dict[str, Dict[str, Any]]
-    
+
     def __init__(self, completion_stream: Any):
-        super().__init__(completion_stream)
         self.sent_first_chunk = False
         self.accumulated_tool_calls = {}
-    
+
     def __next__(self):
         try:
             for chunk in self.completion_stream:
                 if chunk == "None" or chunk is None:
                     continue
-                    
+
                 # Transform OpenAI streaming chunk to Google GenAI format
-                transformed_chunk = GoogleGenAIAdapter().translate_streaming_completion_to_generate_content(chunk, self)
+                transformed_chunk = GoogleGenAIAdapter().translate_streaming_completion_to_generate_content(
+                    chunk, self
+                )
                 if transformed_chunk:  # Only return non-empty chunks
                     return transformed_chunk
-                
+
             raise StopIteration
         except StopIteration:
             raise StopIteration
         except Exception:
             raise StopIteration
-    
+
     async def __anext__(self):
         try:
             async for chunk in self.completion_stream:
                 if chunk == "None" or chunk is None:
                     continue
-                    
-                # Transform OpenAI streaming chunk to Google GenAI format  
-                transformed_chunk = GoogleGenAIAdapter().translate_streaming_completion_to_generate_content(chunk, self)
+
+                # Transform OpenAI streaming chunk to Google GenAI format
+                transformed_chunk = GoogleGenAIAdapter().translate_streaming_completion_to_generate_content(
+                    chunk, self
+                )
                 if transformed_chunk:  # Only return non-empty chunks
                     return transformed_chunk
-                
+
             raise StopAsyncIteration
         except StopAsyncIteration:
             raise StopAsyncIteration
         except Exception:
             raise StopAsyncIteration
-    
+
     def google_genai_sse_wrapper(self) -> Iterator[bytes]:
         """
         Convert Google GenAI streaming chunks to Server-Sent Events format.
@@ -80,7 +83,7 @@ class GoogleGenAIStreamWrapper(AdapterCompletionStreamWrapper):
                 yield payload.encode()
             else:
                 yield chunk
-    
+
     async def async_google_genai_sse_wrapper(self) -> AsyncIterator[bytes]:
         """
         Async version of google_genai_sse_wrapper.
@@ -95,40 +98,39 @@ class GoogleGenAIStreamWrapper(AdapterCompletionStreamWrapper):
 
 class GoogleGenAIAdapter:
     """Adapter for transforming Google GenAI generate_content requests to/from litellm.completion format"""
-    
+
     def __init__(self) -> None:
         pass
-    
 
     def translate_generate_content_to_completion(
         self,
         model: str,
         contents: Union[List[Dict[str, Any]], Dict[str, Any]],
         config: Optional[Dict[str, Any]] = None,
-        **kwargs
+        **kwargs,
     ) -> ChatCompletionRequest:
         """
         Transform generate_content request to litellm completion format
-        
+
         Args:
             model: The model name
             contents: Generate content contents (can be list or single dict)
             config: Optional config parameters
             **kwargs: Additional parameters
-            
+
         Returns:
             ChatCompletionRequest in OpenAI format
         """
-        
+
         # Normalize contents to list format
         if isinstance(contents, dict):
             contents_list = [contents]
         else:
             contents_list = contents
-            
+
         # Transform contents to OpenAI messages format
         messages = self._transform_contents_to_messages(contents_list)
-        
+
         # Create base request
         completion_request: ChatCompletionRequest = ChatCompletionRequest(
             model=model,
@@ -146,7 +148,7 @@ class GoogleGenAIAdapter:
         # - tools
         # - tool_choice
         #########################################################
-        
+
         # Add config parameters if provided
         if config:
             # Map common Google GenAI config parameters to OpenAI equivalents
@@ -161,89 +163,91 @@ class GoogleGenAIAdapter:
                 pass
             if "stopSequences" in config:
                 completion_request["stop"] = config["stopSequences"]
-                
+
         # Handle tools transformation
         if "tools" in kwargs:
             tools = kwargs["tools"]
-            
+
             # Check if tools are already in OpenAI format or Google GenAI format
             if isinstance(tools, list) and len(tools) > 0:
                 # Tools are in Google GenAI format, transform them
                 openai_tools = self._transform_google_genai_tools_to_openai(tools)
                 if openai_tools:
                     completion_request["tools"] = openai_tools
-                
+
         # Handle tool_config (tool choice)
         if "tool_config" in kwargs:
-            tool_choice = self._transform_google_genai_tool_config_to_openai(kwargs["tool_config"])
+            tool_choice = self._transform_google_genai_tool_config_to_openai(
+                kwargs["tool_config"]
+            )
             if tool_choice:
                 completion_request["tool_choice"] = tool_choice
-                                
+
         return completion_request
 
     def translate_completion_output_params_streaming(
         self, completion_stream: Any
     ) -> Union[AsyncIterator[bytes], None]:
         """Transform streaming completion output to Google GenAI format"""
-        google_genai_wrapper = GoogleGenAIStreamWrapper(completion_stream=completion_stream)
+        google_genai_wrapper = GoogleGenAIStreamWrapper(
+            completion_stream=completion_stream
+        )
         # Return the SSE-wrapped version for proper event formatting
         return google_genai_wrapper.async_google_genai_sse_wrapper()
 
-    def _transform_google_genai_tools_to_openai(self, tools: List[Dict[str, Any]]) -> List[ChatCompletionToolParam]:
+    def _transform_google_genai_tools_to_openai(
+        self, tools: List[Dict[str, Any]]
+    ) -> List[ChatCompletionToolParam]:
         """Transform Google GenAI tools to OpenAI tools format"""
         openai_tools: List[Dict[str, Any]] = []
-        
+
         for tool in tools:
             if "functionDeclarations" in tool:
                 for func_decl in tool["functionDeclarations"]:
                     function_chunk: Dict[str, Any] = {
                         "name": func_decl.get("name", ""),
                     }
-                    
+
                     if "description" in func_decl:
                         function_chunk["description"] = func_decl["description"]
                     if "parameters" in func_decl:
                         function_chunk["parameters"] = func_decl["parameters"]
-                        
-                    openai_tool = {
-                        "type": "function",
-                        "function": function_chunk
-                    }
+
+                    openai_tool = {"type": "function", "function": function_chunk}
                     openai_tools.append(openai_tool)
-        
 
         # normalize the tool schemas
         normalized_tools = [normalize_tool_schema(tool) for tool in openai_tools]
-                    
+
         return cast(List[ChatCompletionToolParam], normalized_tools)
 
-    def _transform_google_genai_tool_config_to_openai(self, tool_config: Dict[str, Any]) -> Optional[ChatCompletionToolChoiceValues]:
+    def _transform_google_genai_tool_config_to_openai(
+        self, tool_config: Dict[str, Any]
+    ) -> Optional[ChatCompletionToolChoiceValues]:
         """Transform Google GenAI tool_config to OpenAI tool_choice"""
         function_calling_config = tool_config.get("functionCallingConfig", {})
         mode = function_calling_config.get("mode", "AUTO")
-        
-        mode_mapping = {
-            "AUTO": "auto",
-            "ANY": "required", 
-            "NONE": "none"
-        }
-        
+
+        mode_mapping = {"AUTO": "auto", "ANY": "required", "NONE": "none"}
+
         tool_choice = mode_mapping.get(mode, "auto")
         return cast(ChatCompletionToolChoiceValues, tool_choice)
 
-    def _transform_contents_to_messages(self, contents: List[Dict[str, Any]]) -> List[AllMessageValues]:
+    def _transform_contents_to_messages(
+        self, contents: List[Dict[str, Any]]
+    ) -> List[AllMessageValues]:
         """Transform Google GenAI contents to OpenAI messages format"""
         messages: List[AllMessageValues] = []
-        
+
         for content in contents:
             role = content.get("role", "user")
             parts = content.get("parts", [])
-            
+
             if role == "user":
                 # Handle user messages with potential function responses
                 combined_text = ""
                 tool_messages: List[ChatCompletionToolMessage] = []
-                
+
                 for part in parts:
                     if isinstance(part, dict):
                         if "text" in part:
@@ -254,27 +258,26 @@ class GoogleGenAIAdapter:
                             tool_message = ChatCompletionToolMessage(
                                 role="tool",
                                 tool_call_id=f"call_{func_response.get('name', 'unknown')}",
-                                content=json.dumps(func_response.get("response", {}))
+                                content=json.dumps(func_response.get("response", {})),
                             )
                             tool_messages.append(tool_message)
                     elif isinstance(part, str):
                         combined_text += part
-                        
+
                 # Add user message if there's text content
                 if combined_text:
-                    messages.append(ChatCompletionUserMessage(
-                        role="user",
-                        content=combined_text
-                    ))
-                    
+                    messages.append(
+                        ChatCompletionUserMessage(role="user", content=combined_text)
+                    )
+
                 # Add tool messages
                 messages.extend(tool_messages)
-                    
+
             elif role == "model":
                 # Handle assistant messages with potential function calls
                 combined_text = ""
                 tool_calls: List[ChatCompletionAssistantToolCall] = []
-                
+
                 for part in parts:
                     if isinstance(part, dict):
                         if "text" in part:
@@ -287,28 +290,28 @@ class GoogleGenAIAdapter:
                                 type="function",
                                 function=ChatCompletionToolCallFunctionChunk(
                                     name=func_call.get("name", ""),
-                                    arguments=json.dumps(func_call.get("args", {}))
-                                )
+                                    arguments=json.dumps(func_call.get("args", {})),
+                                ),
                             )
                             tool_calls.append(tool_call)
                     elif isinstance(part, str):
                         combined_text += part
-                        
+
                 # Create assistant message
                 if tool_calls:
                     assistant_message = ChatCompletionAssistantMessage(
                         role="assistant",
                         content=combined_text if combined_text else None,
-                        tool_calls=tool_calls
+                        tool_calls=tool_calls,
                     )
                 else:
                     assistant_message = ChatCompletionAssistantMessage(
                         role="assistant",
-                        content=combined_text if combined_text else None
+                        content=combined_text if combined_text else None,
                     )
-                    
+
                 messages.append(assistant_message)
-                    
+
         return messages
 
     def translate_completion_to_generate_content(
@@ -316,57 +319,62 @@ class GoogleGenAIAdapter:
     ) -> Dict[str, Any]:
         """
         Transform litellm completion response to Google GenAI generate_content format
-        
+
         Args:
             response: ModelResponse from litellm.completion
-            
+
         Returns:
             Dict in Google GenAI generate_content response format
         """
-        
+
         # Extract the main response content
         choice = response.choices[0] if response.choices else None
         if not choice:
             raise ValueError("Invalid completion response: no choices found")
-            
+
         # Handle different choice types (Choices vs StreamingChoices)
         if isinstance(choice, Choices):
             if not choice.message:
-                raise ValueError("Invalid completion response: no message found in choice")
+                raise ValueError(
+                    "Invalid completion response: no message found in choice"
+                )
             parts = self._transform_openai_message_to_google_genai_parts(choice.message)
         elif isinstance(choice, StreamingChoices):
             if not choice.delta:
-                raise ValueError("Invalid completion response: no delta found in streaming choice")
+                raise ValueError(
+                    "Invalid completion response: no delta found in streaming choice"
+                )
             parts = self._transform_openai_delta_to_google_genai_parts(choice.delta)
         else:
             # Fallback for generic choice objects
-            message_content = getattr(choice, 'message', {}).get('content', '') or getattr(choice, 'delta', {}).get('content', '')
+            message_content = getattr(choice, "message", {}).get(
+                "content", ""
+            ) or getattr(choice, "delta", {}).get("content", "")
             parts = [{"text": message_content}] if message_content else []
-        
+
         # Create Google GenAI format response
         generate_content_response: Dict[str, Any] = {
             "candidates": [
                 {
-                    "content": {
-                        "parts": parts,
-                        "role": "model"
-                    },
-                    "finishReason": self._map_finish_reason(getattr(choice, 'finish_reason', None)),
+                    "content": {"parts": parts, "role": "model"},
+                    "finishReason": self._map_finish_reason(
+                        getattr(choice, "finish_reason", None)
+                    ),
                     "index": 0,
-                    "safetyRatings": []
+                    "safetyRatings": [],
                 }
             ],
             "usageMetadata": (
-                self._map_usage(getattr(response, 'usage', None)) 
-                if hasattr(response, 'usage') and getattr(response, 'usage', None) 
+                self._map_usage(getattr(response, "usage", None))
+                if hasattr(response, "usage") and getattr(response, "usage", None)
                 else {
                     "promptTokenCount": 0,
                     "candidatesTokenCount": 0,
-                    "totalTokenCount": 0
+                    "totalTokenCount": 0,
                 }
-            )
+            ),
         }
-        
+
         # Add text field for convenience (common in Google GenAI responses)
         text_content = ""
         for part in parts:
@@ -374,7 +382,7 @@ class GoogleGenAIAdapter:
                 text_content += part["text"]
         if text_content:
             generate_content_response["text"] = text_content
-            
+
         return generate_content_response
 
     def translate_streaming_completion_to_generate_content(
@@ -382,62 +390,69 @@ class GoogleGenAIAdapter:
     ) -> Dict[str, Any]:
         """
         Transform streaming litellm completion chunk to Google GenAI generate_content format
-        
+
         Args:
             response: Streaming ModelResponse chunk from litellm.completion
             wrapper: GoogleGenAIStreamWrapper instance
-            
+
         Returns:
             Dict in Google GenAI streaming generate_content response format
         """
-        
+
         # Extract the main response content from streaming chunk
         choice = response.choices[0] if response.choices else None
         if not choice:
             # Return empty chunk if no choices
             return {}
-            
+
         # Handle streaming choice
         if isinstance(choice, StreamingChoices):
             if choice.delta:
-                parts = self._transform_openai_delta_to_google_genai_parts_with_accumulation(choice.delta, wrapper)
+                parts = self._transform_openai_delta_to_google_genai_parts_with_accumulation(
+                    choice.delta, wrapper
+                )
             else:
                 parts = []
-            finish_reason = getattr(choice, 'finish_reason', None)
+            finish_reason = getattr(choice, "finish_reason", None)
         else:
             # Fallback for generic choice objects
-            message_content = getattr(choice, 'delta', {}).get('content', '')
+            message_content = getattr(choice, "delta", {}).get("content", "")
             parts = [{"text": message_content}] if message_content else []
-            finish_reason = getattr(choice, 'finish_reason', None)
-        
+            finish_reason = getattr(choice, "finish_reason", None)
+
         # Only create response chunk if we have parts or it's the final chunk
         if not parts and not finish_reason:
             return {}
-        
+
         # Create Google GenAI streaming format response
         streaming_chunk: Dict[str, Any] = {
             "candidates": [
                 {
-                    "content": {
-                        "parts": parts,
-                        "role": "model"
-                    },
-                    "finishReason": self._map_finish_reason(finish_reason) if finish_reason else None,
+                    "content": {"parts": parts, "role": "model"},
+                    "finishReason": (
+                        self._map_finish_reason(finish_reason)
+                        if finish_reason
+                        else None
+                    ),
                     "index": 0,
-                    "safetyRatings": []
+                    "safetyRatings": [],
                 }
             ]
         }
-        
+
         # Add usage metadata only in the final chunk (when finish_reason is present)
         if finish_reason:
-            usage_metadata = self._map_usage(getattr(response, 'usage', None)) if hasattr(response, 'usage') and getattr(response, 'usage', None) else {
-                "promptTokenCount": 0,
-                "candidatesTokenCount": 0,
-                "totalTokenCount": 0
-            }
+            usage_metadata = (
+                self._map_usage(getattr(response, "usage", None))
+                if hasattr(response, "usage") and getattr(response, "usage", None)
+                else {
+                    "promptTokenCount": 0,
+                    "candidatesTokenCount": 0,
+                    "totalTokenCount": 0,
+                }
+            )
             streaming_chunk["usageMetadata"] = usage_metadata
-        
+
         # Add text field for convenience (common in Google GenAI responses)
         text_content = ""
         for part in parts:
@@ -445,64 +460,69 @@ class GoogleGenAIAdapter:
                 text_content += part["text"]
         if text_content:
             streaming_chunk["text"] = text_content
-            
+
         return streaming_chunk
 
-    def _transform_openai_message_to_google_genai_parts(self, message: Any) -> List[Dict[str, Any]]:
+    def _transform_openai_message_to_google_genai_parts(
+        self, message: Any
+    ) -> List[Dict[str, Any]]:
         """Transform OpenAI message to Google GenAI parts format"""
         parts: List[Dict[str, Any]] = []
-        
+
         # Add text content if present
-        if hasattr(message, 'content') and message.content:
+        if hasattr(message, "content") and message.content:
             parts.append({"text": message.content})
-            
+
         # Add tool calls if present
-        if hasattr(message, 'tool_calls') and message.tool_calls:
+        if hasattr(message, "tool_calls") and message.tool_calls:
             for tool_call in message.tool_calls:
-                if hasattr(tool_call, 'function') and tool_call.function:
+                if hasattr(tool_call, "function") and tool_call.function:
                     try:
-                        args = json.loads(tool_call.function.arguments) if tool_call.function.arguments else {}
+                        args = (
+                            json.loads(tool_call.function.arguments)
+                            if tool_call.function.arguments
+                            else {}
+                        )
                     except json.JSONDecodeError:
                         args = {}
-                        
+
                     function_call_part = {
-                        "functionCall": {
-                            "name": tool_call.function.name,
-                            "args": args
-                        }
+                        "functionCall": {"name": tool_call.function.name, "args": args}
                     }
                     parts.append(function_call_part)
-                    
+
         return parts if parts else [{"text": ""}]
 
-    def _transform_openai_delta_to_google_genai_parts(self, delta: Any) -> List[Dict[str, Any]]:
+    def _transform_openai_delta_to_google_genai_parts(
+        self, delta: Any
+    ) -> List[Dict[str, Any]]:
         """Transform OpenAI delta to Google GenAI parts format for streaming"""
         parts: List[Dict[str, Any]] = []
-        
+
         # Add text content if present
-        if hasattr(delta, 'content') and delta.content:
+        if hasattr(delta, "content") and delta.content:
             parts.append({"text": delta.content})
-            
+
         # Add tool calls if present (for streaming tool calls)
-        if hasattr(delta, 'tool_calls') and delta.tool_calls:
+        if hasattr(delta, "tool_calls") and delta.tool_calls:
             for tool_call in delta.tool_calls:
-                if hasattr(tool_call, 'function') and tool_call.function:
+                if hasattr(tool_call, "function") and tool_call.function:
                     # For streaming, we might get partial function arguments
-                    args_str = getattr(tool_call.function, 'arguments', '') or ''
+                    args_str = getattr(tool_call.function, "arguments", "") or ""
                     try:
                         args = json.loads(args_str) if args_str else {}
                     except json.JSONDecodeError:
                         # For partial JSON in streaming, return as text for now
                         args = {"partial": args_str}
-                        
+
                     function_call_part = {
                         "functionCall": {
-                            "name": getattr(tool_call.function, 'name', '') or '',
-                            "args": args
+                            "name": getattr(tool_call.function, "name", "") or "",
+                            "args": args,
                         }
                     }
                     parts.append(function_call_part)
-                    
+
         return parts
 
     def _transform_openai_delta_to_google_genai_parts_with_accumulation(
@@ -510,74 +530,84 @@ class GoogleGenAIAdapter:
     ) -> List[Dict[str, Any]]:
         """Transform OpenAI delta to Google GenAI parts format with tool call accumulation"""
         parts: List[Dict[str, Any]] = []
-        
+
         # Add text content if present
-        if hasattr(delta, 'content') and delta.content:
+        if hasattr(delta, "content") and delta.content:
             parts.append({"text": delta.content})
-            
+
         # Handle tool calls with accumulation for streaming
-        if hasattr(delta, 'tool_calls') and delta.tool_calls:
+        if hasattr(delta, "tool_calls") and delta.tool_calls:
             for tool_call in delta.tool_calls:
-                if hasattr(tool_call, 'function') and tool_call.function:
-                    tool_call_id = getattr(tool_call, 'id', '') or 'call_unknown'
-                    function_name = getattr(tool_call.function, 'name', '') or ''
-                    args_str = getattr(tool_call.function, 'arguments', '') or ''
-                    
+                if hasattr(tool_call, "function") and tool_call.function:
+                    tool_call_id = getattr(tool_call, "id", "") or "call_unknown"
+                    function_name = getattr(tool_call.function, "name", "") or ""
+                    args_str = getattr(tool_call.function, "arguments", "") or ""
+
                     # Initialize accumulation for this tool call if not exists
                     if tool_call_id not in wrapper.accumulated_tool_calls:
                         wrapper.accumulated_tool_calls[tool_call_id] = {
-                            'name': '',
-                            'arguments': '',
-                            'complete': False
+                            "name": "",
+                            "arguments": "",
+                            "complete": False,
                         }
-                    
+
                     # Accumulate function name if provided
                     if function_name:
-                        wrapper.accumulated_tool_calls[tool_call_id]['name'] = function_name
-                    
+                        wrapper.accumulated_tool_calls[tool_call_id][
+                            "name"
+                        ] = function_name
+
                     # Accumulate arguments if provided
                     if args_str:
-                        wrapper.accumulated_tool_calls[tool_call_id]['arguments'] += args_str
-                    
+                        wrapper.accumulated_tool_calls[tool_call_id][
+                            "arguments"
+                        ] += args_str
+
                     # Try to parse the accumulated arguments as JSON
-                    accumulated_args = wrapper.accumulated_tool_calls[tool_call_id]['arguments']
+                    accumulated_args = wrapper.accumulated_tool_calls[tool_call_id][
+                        "arguments"
+                    ]
                     try:
                         if accumulated_args:
                             parsed_args = json.loads(accumulated_args)
                             # JSON is valid, mark as complete and create function call part
-                            wrapper.accumulated_tool_calls[tool_call_id]['complete'] = True
-                            
+                            wrapper.accumulated_tool_calls[tool_call_id][
+                                "complete"
+                            ] = True
+
                             function_call_part = {
                                 "functionCall": {
-                                    "name": wrapper.accumulated_tool_calls[tool_call_id]['name'],
-                                    "args": parsed_args
+                                    "name": wrapper.accumulated_tool_calls[
+                                        tool_call_id
+                                    ]["name"],
+                                    "args": parsed_args,
                                 }
                             }
                             parts.append(function_call_part)
-                            
+
                             # Clean up completed tool call
                             del wrapper.accumulated_tool_calls[tool_call_id]
-                            
+
                     except json.JSONDecodeError:
                         # JSON is still incomplete, continue accumulating
                         # Don't add to parts yet
                         pass
-                    
+
         return parts
 
     def _map_finish_reason(self, finish_reason: Optional[str]) -> str:
         """Map OpenAI finish reasons to Google GenAI finish reasons"""
         if not finish_reason:
             return "STOP"
-            
+
         mapping = {
             "stop": "STOP",
-            "length": "MAX_TOKENS", 
+            "length": "MAX_TOKENS",
             "content_filter": "SAFETY",
             "tool_calls": "STOP",
             "function_call": "STOP",
         }
-        
+
         return mapping.get(finish_reason, "STOP")
 
     def _map_usage(self, usage: Any) -> Dict[str, int]:
@@ -586,4 +616,4 @@ class GoogleGenAIAdapter:
             "promptTokenCount": getattr(usage, "prompt_tokens", 0) or 0,
             "candidatesTokenCount": getattr(usage, "completion_tokens", 0) or 0,
             "totalTokenCount": getattr(usage, "total_tokens", 0) or 0,
-        } 
\ No newline at end of file
+        }
diff --git a/litellm/integrations/custom_logger.py b/litellm/integrations/custom_logger.py
index ce97b9a292d..1cbcd360ce9 100644
--- a/litellm/integrations/custom_logger.py
+++ b/litellm/integrations/custom_logger.py
@@ -16,7 +16,6 @@ from typing import (
 from pydantic import BaseModel
 
 from litellm.caching.caching import DualCache
-from litellm.proxy._types import UserAPIKeyAuth
 from litellm.types.integrations.argilla import ArgillaItem
 from litellm.types.llms.openai import AllMessageValues, ChatCompletionRequest
 from litellm.types.utils import (
@@ -33,11 +32,13 @@ if TYPE_CHECKING:
     from opentelemetry.trace import Span as _Span
 
     from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
+    from litellm.proxy._types import UserAPIKeyAuth
 
     Span = Union[_Span, Any]
 else:
     Span = Any
     LiteLLMLoggingObj = Any
+    UserAPIKeyAuth = Any
 
 
 class CustomLogger:  # https://docs.litellm.ai/docs/observability/custom_callback#callback-class
diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index ddbbce96462..f7aa59db973 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -116,7 +116,6 @@ from ..integrations.argilla import ArgillaLogger
 from ..integrations.arize.arize_phoenix import ArizePhoenixLogger
 from ..integrations.athina import AthinaLogger
 from ..integrations.azure_storage.azure_storage import AzureBlobStorageLogger
-from ..integrations.braintrust_logging import BraintrustLogger
 from ..integrations.custom_prompt_management import CustomPromptManagement
 from ..integrations.datadog.datadog import DataDogLogger
 from ..integrations.datadog.datadog_llm_obs import DataDogLLMObsLogger
@@ -144,7 +143,6 @@ from ..integrations.s3 import S3Logger
 from ..integrations.s3_v2 import S3Logger as S3V2Logger
 from ..integrations.supabase import Supabase
 from ..integrations.traceloop import TraceloopLogger
-from ..integrations.weights_biases import WeightsBiasesLogger
 from .exception_mapping_utils import _get_response_headers
 from .initialize_dynamic_callback_params import (
     initialize_standard_callback_dynamic_params as _initialize_standard_callback_dynamic_params,
@@ -3022,6 +3020,7 @@ def set_callbacks(callback_list, function_id=None):  # noqa: PLR0915
             elif callback == "s3":
                 s3Logger = S3Logger()
             elif callback == "wandb":
+                from litellm.integrations.weights_biases import WeightsBiasesLogger
                 weightsBiasesLogger = WeightsBiasesLogger()
             elif callback == "logfire":
                 logfireLogger = LogfireLogger()
@@ -3075,6 +3074,7 @@ def _init_custom_logger_compatible_class(  # noqa: PLR0915
             _in_memory_loggers.append(_openmeter_logger)
             return _openmeter_logger  # type: ignore
         elif logging_integration == "braintrust":
+            from litellm.integrations.braintrust_logging import BraintrustLogger
             for callback in _in_memory_loggers:
                 if isinstance(callback, BraintrustLogger):
                     return callback  # type: ignore
@@ -3432,6 +3432,7 @@ def get_custom_logger_compatible_class(  # noqa: PLR0915
                 if isinstance(callback, OpenMeterLogger):
                     return callback
         elif logging_integration == "braintrust":
+            from litellm.integrations.braintrust_logging import BraintrustLogger
             for callback in _in_memory_loggers:
                 if isinstance(callback, BraintrustLogger):
                     return callback
@@ -4023,6 +4024,27 @@ class StandardLoggingPayloadSetup:
                         user_agent_tags.append("User-Agent: " + user_agent)
         return user_agent_tags
 
+    @staticmethod
+    def _get_extra_header_tags(proxy_server_request: dict) -> Optional[List[str]]:
+        """
+        Extract additional header tags for spend tracking based on config.
+        """
+        extra_headers: List[str] = litellm.extra_spend_tag_headers or []
+        if not extra_headers:
+            return None
+
+        headers = proxy_server_request.get("headers", {})
+        if not isinstance(headers, dict):
+            return None
+
+        header_tags = []
+        for header_name in extra_headers:
+            header_value = headers.get(header_name)
+            if header_value:
+                header_tags.append(f"{header_name}: {header_value}")
+
+        return header_tags if header_tags else None
+
     @staticmethod
     def _get_request_tags(metadata: dict, proxy_server_request: dict) -> List[str]:
         request_tags = (
@@ -4033,8 +4055,13 @@ class StandardLoggingPayloadSetup:
         user_agent_tags = StandardLoggingPayloadSetup._get_user_agent_tags(
             proxy_server_request
         )
+        additional_header_tags = StandardLoggingPayloadSetup._get_extra_header_tags(
+            proxy_server_request
+        )
         if user_agent_tags is not None:
             request_tags.extend(user_agent_tags)
+        if additional_header_tags is not None:
+            request_tags.extend(additional_header_tags)
         return request_tags
 
 
diff --git a/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py b/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py
index 4ecc4a33702..75bb699292e 100644
--- a/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py
+++ b/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py
@@ -248,7 +248,7 @@ class StandardBuiltInToolCostTracking:
         )
 
     @staticmethod
-    def _extract_token_counts(computer_use_usage: Any) -> tuple[Optional[int], Optional[int]]:
+    def _extract_token_counts(computer_use_usage: Any) -> Tuple[Optional[int], Optional[int]]:
         """Extract and convert token counts safely."""
         input_tokens = None
         output_tokens = None
diff --git a/litellm/litellm_core_utils/streaming_chunk_builder_utils.py b/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
index 4068d2e043c..0517d27e299 100644
--- a/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
+++ b/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
@@ -107,9 +107,9 @@ class ChunkProcessor:
         self, tool_call_chunks: List[Dict[str, Any]]
     ) -> List[ChatCompletionMessageToolCall]:
         tool_calls_list: List[ChatCompletionMessageToolCall] = []
-        tool_call_map: Dict[
-            int, Dict[str, Any]
-        ] = {}  # Map to store tool calls by index
+        tool_call_map: Dict[int, Dict[str, Any]] = (
+            {}
+        )  # Map to store tool calls by index
 
         for chunk in tool_call_chunks:
             choices = chunk["choices"]
@@ -415,6 +415,8 @@ class ChunkProcessor:
         if prompt_tokens_details is not None:
             returned_usage.prompt_tokens_details = prompt_tokens_details
 
+        # Return a new usage object with the new values
+        returned_usage = Usage(**returned_usage.model_dump())
         return returned_usage
 
 
diff --git a/litellm/litellm_core_utils/streaming_handler.py b/litellm/litellm_core_utils/streaming_handler.py
index 98fb94922f3..eeccfe53335 100644
--- a/litellm/litellm_core_utils/streaming_handler.py
+++ b/litellm/litellm_core_utils/streaming_handler.py
@@ -758,6 +758,7 @@ class CustomStreamWrapper:
         is_chunk_non_empty = self.is_chunk_non_empty(
             completion_obj, model_response, response_obj
         )
+
         if (
             is_chunk_non_empty
         ):  # cannot set content of an OpenAI Object to be an empty string
@@ -1203,6 +1204,7 @@ class CustomStreamWrapper:
                 if response_obj is None:
                     return
                 completion_obj["content"] = response_obj["text"]
+                self.received_finish_reason = response_obj.get("finish_reason", None)
                 if response_obj["is_finished"]:
                     if response_obj["finish_reason"] == "error":
                         raise Exception(
@@ -1210,7 +1212,6 @@ class CustomStreamWrapper:
                                 self.custom_llm_provider, response_obj
                             )
                         )
-                    self.received_finish_reason = response_obj["finish_reason"]
                 if response_obj.get("original_chunk", None) is not None:
                     if hasattr(response_obj["original_chunk"], "id"):
                         model_response = self.set_model_id(
diff --git a/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py b/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py
index 3c85f5327e8..fad895a6253 100644
--- a/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py
+++ b/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py
@@ -153,7 +153,8 @@ class LiteLLMMessagesToCompletionTransformationHandler:
             if stream:
                 transformed_stream = (
                     ANTHROPIC_ADAPTER.translate_completion_output_params_streaming(
-                        completion_response
+                        completion_response,
+                        model=model,
                     )
                 )
                 if transformed_stream is not None:
@@ -239,7 +240,8 @@ class LiteLLMMessagesToCompletionTransformationHandler:
             if stream:
                 transformed_stream = (
                     ANTHROPIC_ADAPTER.translate_completion_output_params_streaming(
-                        completion_response
+                        completion_response,
+                        model=model,
                     )
                 )
                 if transformed_stream is not None:
diff --git a/litellm/llms/anthropic/experimental_pass_through/adapters/streaming_iterator.py b/litellm/llms/anthropic/experimental_pass_through/adapters/streaming_iterator.py
index 070069988c2..662c42f0d7e 100644
--- a/litellm/llms/anthropic/experimental_pass_through/adapters/streaming_iterator.py
+++ b/litellm/llms/anthropic/experimental_pass_through/adapters/streaming_iterator.py
@@ -2,6 +2,7 @@
 ## Translates OpenAI call to Anthropic `/v1/messages` format
 import json
 import traceback
+import uuid
 from typing import Any, AsyncIterator, Iterator, Optional
 
 from litellm import verbose_logger
@@ -16,6 +17,10 @@ class AnthropicStreamWrapper(AdapterCompletionStreamWrapper):
     - finish_reason must map exactly to anthropic reason, else anthropic client won't be able to parse it.
     """
 
+    def __init__(self, completion_stream: Any, model: str):
+        super().__init__(completion_stream)
+        self.model = model
+
     sent_first_chunk: bool = False
     sent_content_block_start: bool = False
     sent_content_block_finish: bool = False
@@ -31,11 +36,11 @@ class AnthropicStreamWrapper(AdapterCompletionStreamWrapper):
                 return {
                     "type": "message_start",
                     "message": {
-                        "id": "msg_1nZdL29xx5MUA1yADyHTEsnR8uuvGzszyY",
+                        "id": "msg_{}".format(uuid.uuid4()),
                         "type": "message",
                         "role": "assistant",
                         "content": [],
-                        "model": "claude-3-5-sonnet-20240620",
+                        "model": self.model,
                         "stop_reason": None,
                         "stop_sequence": None,
                         "usage": UsageDelta(input_tokens=0, output_tokens=0),
@@ -100,11 +105,11 @@ class AnthropicStreamWrapper(AdapterCompletionStreamWrapper):
                 return {
                     "type": "message_start",
                     "message": {
-                        "id": "msg_1nZdL29xx5MUA1yADyHTEsnR8uuvGzszyY",
+                        "id": "msg_{}".format(uuid.uuid4()),
                         "type": "message",
                         "role": "assistant",
                         "content": [],
-                        "model": "claude-3-5-sonnet-20240620",
+                        "model": self.model,
                         "stop_reason": None,
                         "stop_sequence": None,
                         "usage": UsageDelta(input_tokens=0, output_tokens=0),
diff --git a/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py b/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py
index 0cddb65ddc4..369c668234f 100644
--- a/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py
+++ b/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py
@@ -96,9 +96,11 @@ class AnthropicAdapter:
         )
 
     def translate_completion_output_params_streaming(
-        self, completion_stream: Any
+        self, completion_stream: Any, model: str
     ) -> Union[AsyncIterator[bytes], None]:
-        anthropic_wrapper = AnthropicStreamWrapper(completion_stream=completion_stream)
+        anthropic_wrapper = AnthropicStreamWrapper(
+            completion_stream=completion_stream, model=model
+        )
         # Return the SSE-wrapped version for proper event formatting
         return anthropic_wrapper.async_anthropic_sse_wrapper()
 
diff --git a/litellm/llms/azure/chat/o_series_transformation.py b/litellm/llms/azure/chat/o_series_transformation.py
index 767f2d46df3..778ec5f6dea 100644
--- a/litellm/llms/azure/chat/o_series_transformation.py
+++ b/litellm/llms/azure/chat/o_series_transformation.py
@@ -38,13 +38,38 @@ class AzureOpenAIO1Config(OpenAIOSeriesConfig):
             "top_logprobs",
         ]
 
-        o_series_only_param = []
-        if supports_reasoning(model):
-            o_series_only_param.append("reasoning_effort")
+        o_series_only_param = self._get_o_series_only_params(model)
+
         all_openai_params.extend(o_series_only_param)
         return [
             param for param in all_openai_params if param not in non_supported_params
         ]
+    
+    def _get_o_series_only_params(self, model: str) -> list:
+        """
+        Helper function to get the o-series only params for the model
+
+        - reasoning_effort
+        """
+        o_series_only_param = []
+        
+
+        #########################################################
+        # Case 1: If the model is recognized and in litellm model cost map
+        # then check if it supports reasoning
+        #########################################################
+        if model in litellm.model_list_set:
+            if supports_reasoning(model):
+                o_series_only_param.append("reasoning_effort")
+        #########################################################
+        # Case 2: If the model is not recognized, then we assume it supports reasoning
+        # This is critical because several users tend to use custom deployment names 
+        # for azure o-series models.
+        #########################################################
+        else:
+            o_series_only_param.append("reasoning_effort")
+        
+        return o_series_only_param
 
     def should_fake_stream(
         self,
diff --git a/litellm/llms/base_llm/anthropic_messages/transformation.py b/litellm/llms/base_llm/anthropic_messages/transformation.py
index d0728580076..63f4f230034 100644
--- a/litellm/llms/base_llm/anthropic_messages/transformation.py
+++ b/litellm/llms/base_llm/anthropic_messages/transformation.py
@@ -115,6 +115,7 @@ class BaseAnthropicMessagesConfig(ABC):
         self, error_message: str, status_code: int, headers: Union[dict, httpx.Headers]
     ) -> "BaseLLMException":
         from litellm.llms.base_llm.chat.transformation import BaseLLMException
+
         return BaseLLMException(
             message=error_message, status_code=status_code, headers=headers
         )
diff --git a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
index 20cf076d415..bc8844bdcb0 100644
--- a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
+++ b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
@@ -1077,8 +1077,10 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
         elif (
             finish_reason and finish_reason in mapped_finish_reason.keys()
         ):  # vertex ai
+
             return mapped_finish_reason[finish_reason]
         else:
+
             return "stop"
 
     @staticmethod
@@ -1261,7 +1263,6 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
                 status_code=422,
                 headers=raw_response.headers,
             )
-        
 
         return self._transform_google_generate_content_to_openai_model_response(
             completion_response=completion_response,
@@ -1270,7 +1271,6 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
             logging_obj=logging_obj,
             raw_response=raw_response,
         )
-    
 
     def _transform_google_generate_content_to_openai_model_response(
         self,
diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/250-b776bd9ac8911291.js b/litellm/proxy/_experimental/out/_next/static/chunks/250-b776bd9ac8911291.js
index f0438132c4c..adac15afa67 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/250-b776bd9ac8911291.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/250-b776bd9ac8911291.js
@@ -1 +1 @@
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diff --git a/litellm/proxy/_experimental/out/_next/static/css/31b7f215e119031e.css b/litellm/proxy/_experimental/out/_next/static/css/31b7f215e119031e.css
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diff --git a/litellm/proxy/_experimental/out/assets/logos/cerebras.svg b/litellm/proxy/_experimental/out/assets/logos/cerebras.svg
index 426f6430c23..1ff347220c5 100644
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\ No newline at end of file
diff --git a/litellm/proxy/_experimental/out/onboarding.txt b/litellm/proxy/_experimental/out/onboarding.txt
index 0b659c1070c..c8c5e4540fb 100644
--- a/litellm/proxy/_experimental/out/onboarding.txt
+++ b/litellm/proxy/_experimental/out/onboarding.txt
@@ -2,6 +2,6 @@
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 4:I[4707,[],""]
 5:I[36423,[],""]
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diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index bc0332b33a5..98156a5ad67 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -25,6 +25,7 @@ from litellm.types.mcp import (
     MCPTransportType,
 )
 from litellm.types.router import RouterErrors, UpdateRouterConfig
+from litellm.types.secret_managers.main import KeyManagementSystem
 from litellm.types.utils import (
     CallTypes,
     EmbeddingResponse,
@@ -185,27 +186,6 @@ def hash_token(token: str):
     return hashed_token
 
 
-class LiteLLM_UpperboundKeyGenerateParams(LiteLLMPydanticObjectBase):
-    """
-    Set default upperbound to max budget a key called via `/key/generate` can be.
-
-    Args:
-        max_budget (Optional[float], optional): Max budget a key can be. Defaults to None.
-        budget_duration (Optional[str], optional): Duration of the budget. Defaults to None.
-        duration (Optional[str], optional): Duration of the key. Defaults to None.
-        max_parallel_requests (Optional[int], optional): Max number of requests that can be made in parallel. Defaults to None.
-        tpm_limit (Optional[int], optional): Tpm limit. Defaults to None.
-        rpm_limit (Optional[int], optional): Rpm limit. Defaults to None.
-    """
-
-    max_budget: Optional[float] = None
-    budget_duration: Optional[str] = None
-    duration: Optional[str] = None
-    max_parallel_requests: Optional[int] = None
-    tpm_limit: Optional[int] = None
-    rpm_limit: Optional[int] = None
-
-
 class KeyManagementRoutes(str, enum.Enum):
     """
     Enum for key management routes
@@ -1398,40 +1378,6 @@ class DeleteOrganizationRequest(LiteLLMPydanticObjectBase):
     organization_ids: List[str]  # required
 
 
-class KeyManagementSystem(enum.Enum):
-    GOOGLE_KMS = "google_kms"
-    AZURE_KEY_VAULT = "azure_key_vault"
-    AWS_SECRET_MANAGER = "aws_secret_manager"
-    GOOGLE_SECRET_MANAGER = "google_secret_manager"
-    HASHICORP_VAULT = "hashicorp_vault"
-    LOCAL = "local"
-    AWS_KMS = "aws_kms"
-
-
-class KeyManagementSettings(LiteLLMPydanticObjectBase):
-    hosted_keys: Optional[List] = None
-    store_virtual_keys: Optional[bool] = False
-    """
-    If True, virtual keys created by litellm will be stored in the secret manager
-    """
-    prefix_for_stored_virtual_keys: str = "litellm/"
-    """
-    If set, this prefix will be used for stored virtual keys in the secret manager
-    """
-
-    access_mode: Literal["read_only", "write_only", "read_and_write"] = "read_only"
-    """
-    Access mode for the secret manager, when write_only will only use for writing secrets
-    """
-
-    primary_secret_name: Optional[str] = None
-    """
-    If set, will read secrets from this primary secret in the secret manager
-
-    eg. on AWS you can store multiple secret values as K/V pairs in a single secret
-    """
-
-
 class TeamDefaultSettings(LiteLLMPydanticObjectBase):
     team_id: str
 
diff --git a/litellm/proxy/management_endpoints/team_endpoints.py b/litellm/proxy/management_endpoints/team_endpoints.py
index 7dec4b78e6a..3f5431c3ef4 100644
--- a/litellm/proxy/management_endpoints/team_endpoints.py
+++ b/litellm/proxy/management_endpoints/team_endpoints.py
@@ -947,6 +947,7 @@ def team_member_add_duplication_check(
     This check is done BEFORE we create/fetch the user, so it only prevents
     obvious duplicates where both user_id and user_email match exactly.
     """
+
     def _check_member_duplication(member: Member):
         # Check by user_id if provided
         if member.user_id is not None:
@@ -958,7 +959,7 @@ def team_member_add_duplication_check(
                         param="user_id",
                         code="400",
                     )
-        
+
         # Check by user_email if provided
         if member.user_email is not None:
             for existing_member in existing_team_row.members_with_roles:
@@ -1014,13 +1015,13 @@ async def _process_team_members(
     """Process and add new team members."""
     updated_users: List[LiteLLM_UserTable] = []
     updated_team_memberships: List[LiteLLM_TeamMembership] = []
-    
+
     default_team_budget_id = (
         complete_team_data.metadata.get("team_member_budget_id")
         if complete_team_data.metadata is not None
         else None
     )
-    
+
     if isinstance(data.member, Member):
         try:
             updated_user, updated_tm = await add_new_member(
@@ -1068,7 +1069,7 @@ async def _process_team_members(
             updated_users.append(updated_user)
             if updated_tm is not None:
                 updated_team_memberships.append(updated_tm)
-    
+
     return updated_users, updated_team_memberships
 
 
@@ -1080,7 +1081,7 @@ async def _update_team_members_list(
     """Update the team's members_with_roles list."""
     if isinstance(data.member, Member):
         new_member = data.member.model_copy()
-        
+
         # get user id
         if new_member.user_id is None and new_member.user_email is not None:
             for user in updated_users:
@@ -1089,33 +1090,42 @@ async def _update_team_members_list(
                     and user.user_email == new_member.user_email
                 ):
                     new_member.user_id = user.user_id
-        
+
         # Check if member already exists in team before adding
         member_already_exists = False
         for existing_member in complete_team_data.members_with_roles:
-            if (new_member.user_id is not None and existing_member.user_id == new_member.user_id) or \
-               (new_member.user_email is not None and existing_member.user_email == new_member.user_email):
+            if (
+                new_member.user_id is not None
+                and existing_member.user_id == new_member.user_id
+            ) or (
+                new_member.user_email is not None
+                and existing_member.user_email == new_member.user_email
+            ):
                 member_already_exists = True
                 break
-        
+
         if not member_already_exists:
             complete_team_data.members_with_roles.append(new_member)
-    
+
     elif isinstance(data.member, List):
         for nm in data.member:
             if nm.user_id is None and nm.user_email is not None:
                 for user in updated_users:
                     if user.user_email is not None and user.user_email == nm.user_email:
                         nm.user_id = user.user_id
-            
+
             # Check if member already exists in team before adding
             member_already_exists = False
             for existing_member in complete_team_data.members_with_roles:
-                if (nm.user_id is not None and existing_member.user_id == nm.user_id) or \
-                   (nm.user_email is not None and existing_member.user_email == nm.user_email):
+                if (
+                    nm.user_id is not None and existing_member.user_id == nm.user_id
+                ) or (
+                    nm.user_email is not None
+                    and existing_member.user_email == nm.user_email
+                ):
                     member_already_exists = True
                     break
-            
+
             if not member_already_exists:
                 complete_team_data.members_with_roles.append(nm)
 
@@ -2174,30 +2184,15 @@ async def list_team(
     filtered_response = []
     if user_id:
         # Get user object to access their teams array
-        try:
-            user_object = await prisma_client.db.litellm_usertable.find_unique(
-                where={"user_id": user_id}
-            )
-            if user_object and user_object.teams:
-                # Filter teams based on user's teams array
-                for team in response:
-                    if team.team_id in user_object.teams:
+        for team in response:
+            if team.members_with_roles:
+                for member in team.members_with_roles:
+                    if (
+                        "user_id" in member
+                        and member["user_id"] is not None
+                        and member["user_id"] == user_id
+                    ):
                         filtered_response.append(team)
-        except Exception as e:
-            verbose_proxy_logger.debug(
-                f"Error fetching user for team filtering: {str(e)}"
-            )
-            # Fall back to checking members_with_roles if user lookup fails
-            for team in response:
-                if team.members_with_roles:
-                    for member in team.members_with_roles:
-                        if (
-                            "user_id" in member
-                            and member["user_id"] is not None
-                            and member["user_id"] == user_id
-                        ):
-                            filtered_response.append(team)
-
     else:
         filtered_response = response
 
@@ -2396,7 +2391,7 @@ def add_new_models_to_team(
     ):  # implies all model access
         current_models = [SpecialModelNames.all_proxy_models.value]
     else:
-        current_models = []
+        current_models = team_obj.models
     updated_models = list(set(current_models + new_models))
     return updated_models
 
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 1aa914585e8..136fb292df7 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -353,10 +353,18 @@ from litellm.types.llms.anthropic import (
     AnthropicResponseUsageBlock,
 )
 from litellm.types.llms.openai import HttpxBinaryResponseContent
+from litellm.types.proxy.management_endpoints.ui_sso import (
+    DefaultTeamSSOParams,
+    LiteLLM_UpperboundKeyGenerateParams,
+)
 from litellm.types.router import DeploymentTypedDict
 from litellm.types.router import ModelInfo as RouterModelInfo
 from litellm.types.router import RouterGeneralSettings, updateDeployment
 from litellm.types.scheduler import DefaultPriorities
+from litellm.types.secret_managers.main import (
+    KeyManagementSettings,
+    KeyManagementSystem,
+)
 from litellm.types.utils import CredentialItem, CustomHuggingfaceTokenizer
 from litellm.types.utils import ModelInfo as ModelMapInfo
 from litellm.types.utils import RawRequestTypedDict, StandardLoggingPayload
@@ -759,46 +767,49 @@ try:
     current_dir = os.path.dirname(os.path.abspath(__file__))
     ui_path = os.path.join(current_dir, "_experimental", "out")
     litellm_asset_prefix = "/litellm-asset-prefix"
-    # Iterate through files in the UI directory
-    for root, dirs, files in os.walk(ui_path):
-        for filename in files:
-            file_path = os.path.join(root, filename)
-            # Skip binary files and files that don't need path replacement
-            if filename.endswith(
-                (
-                    ".png",
-                    ".jpg",
-                    ".jpeg",
-                    ".gif",
-                    ".ico",
-                    ".woff",
-                    ".woff2",
-                    ".ttf",
-                    ".eot",
-                )
-            ):
-                continue
-            try:
-                with open(file_path, "r", encoding="utf-8") as f:
-                    content = f.read()
 
-                # Replace the asset prefix with the server root path
-                modified_content = content.replace(
-                    f"{litellm_asset_prefix}",
-                    f"{server_root_path}",
-                )
+    # Only modify files if a custom server root path is set
+    if server_root_path and server_root_path != "/":
+        # Iterate through files in the UI directory
+        for root, dirs, files in os.walk(ui_path):
+            for filename in files:
+                file_path = os.path.join(root, filename)
+                # Skip binary files and files that don't need path replacement
+                if filename.endswith(
+                    (
+                        ".png",
+                        ".jpg",
+                        ".jpeg",
+                        ".gif",
+                        ".ico",
+                        ".woff",
+                        ".woff2",
+                        ".ttf",
+                        ".eot",
+                    )
+                ):
+                    continue
+                try:
+                    with open(file_path, "r", encoding="utf-8") as f:
+                        content = f.read()
 
-                # Replace the /.well-known/litellm-ui-config with the server root path
-                modified_content = modified_content.replace(
-                    "/litellm/.well-known/litellm-ui-config",
-                    f"{server_root_path}/.well-known/litellm-ui-config",
-                )
+                    # Replace the asset prefix with the server root path
+                    modified_content = content.replace(
+                        f"{litellm_asset_prefix}",
+                        f"{server_root_path}",
+                    )
 
-                with open(file_path, "w", encoding="utf-8") as f:
-                    f.write(modified_content)
-            except UnicodeDecodeError:
-                # Skip binary files that can't be decoded
-                continue
+                    # Replace the /.well-known/litellm-ui-config with the server root path
+                    modified_content = modified_content.replace(
+                        "/litellm/.well-known/litellm-ui-config",
+                        f"{server_root_path}/.well-known/litellm-ui-config",
+                    )
+
+                    with open(file_path, "w", encoding="utf-8") as f:
+                        f.write(modified_content)
+                except UnicodeDecodeError:
+                    # Skip binary files that can't be decoded
+                    continue
 
     # # Mount the _next directory at the root level
     app.mount(
@@ -5600,7 +5611,9 @@ def _add_team_models_to_all_models(
                         team_models.setdefault(model_id, set()).add(team_object.team_id)
         else:
             for model_name in team_object.models:
-                _models = llm_router.get_model_list(model_name=model_name)
+                _models = llm_router.get_model_list(
+                    model_name=model_name, team_id=team_object.team_id
+                )
                 if _models is not None:
                     for model in _models:
                         model_id = model.get("model_info", {}).get("id", None)
@@ -5636,6 +5649,7 @@ async def get_all_team_models(
         team_db_objects = await prisma_client.db.litellm_teamtable.find_many(
             where={"team_id": {"in": user_teams}}
         )
+
         team_db_objects_typed = [
             LiteLLM_TeamTable(**team_db_object.model_dump())
             for team_db_object in team_db_objects
@@ -5706,6 +5720,7 @@ async def get_all_team_and_direct_access_models(
             prisma_client=prisma_client,
             llm_router=llm_router,
         )
+
         for _model in all_models:
             model_id = _model.get("model_info", {}).get("id", None)
             team_only_model_id = _model.get("model_info", {}).get("team_id", None)
@@ -5721,9 +5736,11 @@ async def get_all_team_and_direct_access_models(
                     )
 
     ## ADD DIRECT_ACCESS TO RELEVANT MODELS
+
     for _model in all_models:
         model_id = _model.get("model_info", {}).get("id", None)
         if model_id is not None and model_id in direct_access_models:
+
             _model["model_info"]["direct_access"] = True
 
     ## FILTER OUT MODELS THAT ARE NOT IN DIRECT_ACCESS_MODELS OR ACCESS_VIA_TEAM_IDS - only show user models they can call
@@ -7515,6 +7532,7 @@ async def new_invitation(
         from litellm.proxy.management_helpers.user_invitation import (
             create_invitation_for_user,
         )
+
         global prisma_client
 
         if prisma_client is None:
@@ -7533,7 +7551,7 @@ async def new_invitation(
                     )
                 },
             )
-        
+
         response = await create_invitation_for_user(
             data=data,
             user_api_key_dict=user_api_key_dict,
@@ -7543,7 +7561,6 @@ async def new_invitation(
         raise handle_exception_on_proxy(e)
 
 
-
 @router.get(
     "/invitation/info",
     tags=["Invite Links"],
diff --git a/litellm/router.py b/litellm/router.py
index 77f99ea84b1..dc12b924ff7 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -3643,7 +3643,10 @@ class Router:
             litellm.ContentPolicyViolationError: when `mock_testing_content_policy_fallbacks=True` passed in request params
         """
         mock_testing_params = MockRouterTestingParams.from_kwargs(kwargs)
-        if mock_testing_params.mock_testing_fallbacks is not None and mock_testing_params.mock_testing_fallbacks is True:
+        if (
+            mock_testing_params.mock_testing_fallbacks is not None
+            and mock_testing_params.mock_testing_fallbacks is True
+        ):
             raise litellm.InternalServerError(
                 model=model_group,
                 llm_provider="",
@@ -5584,8 +5587,27 @@ class Router:
                 return model["model_name"]
         return None
 
+    def should_include_deployment(
+        self, model_name: str, model: dict, team_id: Optional[str] = None
+    ) -> bool:
+        """
+        Get the team-specific model name if team_id matches the deployment.
+        """
+        if (
+            team_id is not None
+            and model["model_info"].get("team_id") == team_id
+            and model_name == model["model_info"].get("team_public_model_name")
+        ):
+            return True
+        elif model_name is not None and model["model_name"] == model_name:
+            return True
+        return False
+
     def _get_all_deployments(
-        self, model_name: str, model_alias: Optional[str] = None
+        self,
+        model_name: str,
+        model_alias: Optional[str] = None,
+        team_id: Optional[str] = None,
     ) -> List[DeploymentTypedDict]:
         """
         Return all deployments of a model name
@@ -5594,7 +5616,9 @@ class Router:
         """
         returned_models: List[DeploymentTypedDict] = []
         for model in self.model_list:
-            if model_name is not None and model["model_name"] == model_name:
+            if self.should_include_deployment(
+                model_name=model_name, model=model, team_id=team_id
+            ):
                 if model_alias is not None:
                     alias_model = copy.deepcopy(model)
                     alias_model["model_name"] = model_alias
@@ -5692,16 +5716,20 @@ class Router:
         return returned_models
 
     def get_model_list(
-        self, model_name: Optional[str] = None
+        self, model_name: Optional[str] = None, team_id: Optional[str] = None
     ) -> Optional[List[DeploymentTypedDict]]:
         """
         Includes router model_group_alias'es as well
+
+        if team_id specified, returns matching team-specific models
         """
         if hasattr(self, "model_list"):
             returned_models: List[DeploymentTypedDict] = []
 
             if model_name is not None:
-                returned_models.extend(self._get_all_deployments(model_name=model_name))
+                returned_models.extend(
+                    self._get_all_deployments(model_name=model_name, team_id=team_id)
+                )
 
             if hasattr(self, "model_group_alias"):
                 returned_models.extend(
diff --git a/litellm/secret_managers/main.py b/litellm/secret_managers/main.py
index b8b0cb2b517..6ecf5e370f5 100644
--- a/litellm/secret_managers/main.py
+++ b/litellm/secret_managers/main.py
@@ -11,10 +11,10 @@ import litellm
 from litellm._logging import print_verbose, verbose_logger
 from litellm.caching.caching import DualCache
 from litellm.llms.custom_httpx.http_handler import HTTPHandler
-from litellm.proxy._types import KeyManagementSystem
 from litellm.secret_managers.get_azure_ad_token_provider import (
     get_azure_ad_token_provider,
 )
+from litellm.types.secret_managers.main import KeyManagementSystem
 
 oidc_cache = DualCache()
 
diff --git a/litellm/types/llms/base.py b/litellm/types/llms/base.py
index aec1438c486..29c8b049fbf 100644
--- a/litellm/types/llms/base.py
+++ b/litellm/types/llms/base.py
@@ -1,4 +1,27 @@
-from pydantic import BaseModel
+from pydantic import BaseModel, ConfigDict
+
+
+class LiteLLMPydanticObjectBase(BaseModel):
+    """
+    Implements default functions, all pydantic objects should have.
+    """
+
+    def json(self, **kwargs):  # type: ignore
+        try:
+            return self.model_dump(**kwargs)  # noqa
+        except Exception:
+            # if using pydantic v1
+            return self.dict(**kwargs)
+
+    def fields_set(self):
+        try:
+            return self.model_fields_set  # noqa
+        except Exception:
+            # if using pydantic v1
+            return self.__fields_set__
+
+    model_config = ConfigDict(protected_namespaces=())
+
 
 
 class BaseLiteLLMOpenAIResponseObject(BaseModel):
diff --git a/litellm/types/proxy/management_endpoints/ui_sso.py b/litellm/types/proxy/management_endpoints/ui_sso.py
index 3cdb5cb6398..fe6d7569b23 100644
--- a/litellm/types/proxy/management_endpoints/ui_sso.py
+++ b/litellm/types/proxy/management_endpoints/ui_sso.py
@@ -2,9 +2,29 @@ from typing import List, Literal, Optional, TypedDict, Union
 
 from pydantic import Field
 
-from litellm.proxy._types import LiteLLMPydanticObjectBase, LitellmUserRoles
+from litellm.types.utils import LiteLLMPydanticObjectBase
 
 
+class LiteLLM_UpperboundKeyGenerateParams(LiteLLMPydanticObjectBase):
+    """
+    Set default upperbound to max budget a key called via `/key/generate` can be.
+
+    Args:
+        max_budget (Optional[float], optional): Max budget a key can be. Defaults to None.
+        budget_duration (Optional[str], optional): Duration of the budget. Defaults to None.
+        duration (Optional[str], optional): Duration of the key. Defaults to None.
+        max_parallel_requests (Optional[int], optional): Max number of requests that can be made in parallel. Defaults to None.
+        tpm_limit (Optional[int], optional): Tpm limit. Defaults to None.
+        rpm_limit (Optional[int], optional): Rpm limit. Defaults to None.
+    """
+
+    max_budget: Optional[float] = None
+    budget_duration: Optional[str] = None
+    duration: Optional[str] = None
+    max_parallel_requests: Optional[int] = None
+    tpm_limit: Optional[int] = None
+    rpm_limit: Optional[int] = None
+
 class MicrosoftGraphAPIUserGroupDirectoryObject(TypedDict, total=False):
     """Model for Microsoft Graph API directory object"""
 
diff --git a/litellm/types/secret_managers/main.py b/litellm/types/secret_managers/main.py
new file mode 100644
index 00000000000..e582df47df9
--- /dev/null
+++ b/litellm/types/secret_managers/main.py
@@ -0,0 +1,38 @@
+import enum
+from typing import List, Literal, Optional
+
+from litellm.types.llms.base import LiteLLMPydanticObjectBase
+
+
+class KeyManagementSystem(enum.Enum):
+    GOOGLE_KMS = "google_kms"
+    AZURE_KEY_VAULT = "azure_key_vault"
+    AWS_SECRET_MANAGER = "aws_secret_manager"
+    GOOGLE_SECRET_MANAGER = "google_secret_manager"
+    HASHICORP_VAULT = "hashicorp_vault"
+    LOCAL = "local"
+    AWS_KMS = "aws_kms"
+
+
+class KeyManagementSettings(LiteLLMPydanticObjectBase):
+    hosted_keys: Optional[List] = None
+    store_virtual_keys: Optional[bool] = False
+    """
+    If True, virtual keys created by litellm will be stored in the secret manager
+    """
+    prefix_for_stored_virtual_keys: str = "litellm/"
+    """
+    If set, this prefix will be used for stored virtual keys in the secret manager
+    """
+
+    access_mode: Literal["read_only", "write_only", "read_and_write"] = "read_only"
+    """
+    Access mode for the secret manager, when write_only will only use for writing secrets
+    """
+
+    primary_secret_name: Optional[str] = None
+    """
+    If set, will read secrets from this primary secret in the secret manager
+
+    eg. on AWS you can store multiple secret values as K/V pairs in a single secret
+    """
\ No newline at end of file
diff --git a/litellm/types/utils.py b/litellm/types/utils.py
index 9d76f04d97f..a3e49d0b4d8 100644
--- a/litellm/types/utils.py
+++ b/litellm/types/utils.py
@@ -33,7 +33,10 @@ from pydantic import BaseModel, ConfigDict, Field, PrivateAttr, model_validator
 from typing_extensions import Callable, Dict, Required, TypedDict, override
 
 import litellm
-from litellm.types.llms.base import BaseLiteLLMOpenAIResponseObject
+from litellm.types.llms.base import (
+    BaseLiteLLMOpenAIResponseObject,
+    LiteLLMPydanticObjectBase,
+)
 
 from ..litellm_core_utils.core_helpers import map_finish_reason
 from .guardrails import GuardrailEventHooks
@@ -63,28 +66,6 @@ def _generate_id():  # private helper function
     return "chatcmpl-" + str(uuid.uuid4())
 
 
-class LiteLLMPydanticObjectBase(BaseModel):
-    """
-    Implements default functions, all pydantic objects should have.
-    """
-
-    def json(self, **kwargs):  # type: ignore
-        try:
-            return self.model_dump(**kwargs)  # noqa
-        except Exception:
-            # if using pydantic v1
-            return self.dict(**kwargs)
-
-    def fields_set(self):
-        try:
-            return self.model_fields_set  # noqa
-        except Exception:
-            # if using pydantic v1
-            return self.__fields_set__
-
-    model_config = ConfigDict(protected_namespaces=())
-
-
 class LiteLLMCommonStrings(Enum):
     redacted_by_litellm = "redacted by litellm. 'litellm.turn_off_message_logging=True'"
     llm_provider_not_provided = "Unmapped LLM provider for this endpoint. You passed model={model}, custom_llm_provider={custom_llm_provider}. Check supported provider and route: https://docs.litellm.ai/docs/providers"
diff --git a/poetry.lock b/poetry.lock
index abc8d4a7056..c1fbe6f0df8 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -6,6 +6,7 @@ version = "2.4.4"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"},
     {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"},
@@ -17,6 +18,7 @@ version = "3.10.11"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "aiohttp-3.10.11-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5077b1a5f40ffa3ba1f40d537d3bec4383988ee51fbba6b74aa8fb1bc466599e"},
     {file = "aiohttp-3.10.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8d6a14a4d93b5b3c2891fca94fa9d41b2322a68194422bef0dd5ec1e57d7d298"},
@@ -121,7 +123,7 @@ multidict = ">=4.5,<7.0"
 yarl = ">=1.12.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 
 [[package]]
 name = "aiosignal"
@@ -129,6 +131,7 @@ version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
     {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
@@ -143,6 +146,8 @@ version = "0.7.13"
 description = "A configurable sidebar-enabled Sphinx theme"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"utils\""
 files = [
     {file = "alabaster-0.7.13-py3-none-any.whl", hash = "sha256:1ee19aca801bbabb5ba3f5f258e4422dfa86f82f3e9cefb0859b283cdd7f62a3"},
     {file = "alabaster-0.7.13.tar.gz", hash = "sha256:a27a4a084d5e690e16e01e03ad2b2e552c61a65469419b907243193de1a84ae2"},
@@ -154,6 +159,7 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -168,6 +174,7 @@ version = "4.5.2"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "anyio-4.5.2-py3-none-any.whl", hash = "sha256:c011ee36bc1e8ba40e5a81cb9df91925c218fe9b778554e0b56a21e1b5d4716f"},
     {file = "anyio-4.5.2.tar.gz", hash = "sha256:23009af4ed04ce05991845451e11ef02fc7c5ed29179ac9a420e5ad0ac7ddc5b"},
@@ -181,7 +188,7 @@ typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21.0b1) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\""]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -190,6 +197,8 @@ version = "3.11.0"
 description = "In-process task scheduler with Cron-like capabilities"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "APScheduler-3.11.0-py3-none-any.whl", hash = "sha256:fc134ca32e50f5eadcc4938e3a4545ab19131435e851abb40b34d63d5141c6da"},
     {file = "apscheduler-3.11.0.tar.gz", hash = "sha256:4c622d250b0955a65d5d0eb91c33e6d43fd879834bf541e0a18661ae60460133"},
@@ -207,7 +216,7 @@ mongodb = ["pymongo (>=3.0)"]
 redis = ["redis (>=3.0)"]
 rethinkdb = ["rethinkdb (>=2.4.0)"]
 sqlalchemy = ["sqlalchemy (>=1.4)"]
-test = ["APScheduler[etcd,mongodb,redis,rethinkdb,sqlalchemy,tornado,zookeeper]", "PySide6", "anyio (>=4.5.2)", "gevent", "pytest", "pytz", "twisted"]
+test = ["APScheduler[etcd,mongodb,redis,rethinkdb,sqlalchemy,tornado,zookeeper]", "PySide6 ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "anyio (>=4.5.2)", "gevent ; python_version < \"3.14\"", "pytest", "pytz", "twisted ; python_version < \"3.14\""]
 tornado = ["tornado (>=4.3)"]
 twisted = ["twisted"]
 zookeeper = ["kazoo"]
@@ -216,8 +225,10 @@ zookeeper = ["kazoo"]
 name = "async-timeout"
 version = "5.0.1"
 description = "Timeout context manager for asyncio programs"
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_full_version < \"3.11.3\" and (extra == \"extra-proxy\" or extra == \"proxy\") or python_version <= \"3.10\""
 files = [
     {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
     {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
@@ -229,18 +240,19 @@ version = "25.3.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"},
     {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"},
 ]
 
 [package.extras]
-benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
 docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"]
-tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
+tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
 
 [[package]]
 name = "azure-core"
@@ -248,6 +260,7 @@ version = "1.33.0"
 description = "Microsoft Azure Core Library for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "proxy-dev"]
 files = [
     {file = "azure_core-1.33.0-py3-none-any.whl", hash = "sha256:9b5b6d0223a1d38c37500e6971118c1e0f13f54951e6893968b38910bc9cda8f"},
     {file = "azure_core-1.33.0.tar.gz", hash = "sha256:f367aa07b5e3005fec2c1e184b882b0b039910733907d001c20fb08ebb8c0eb9"},
@@ -268,6 +281,7 @@ version = "1.21.0"
 description = "Microsoft Azure Identity Library for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "proxy-dev"]
 files = [
     {file = "azure_identity-1.21.0-py3-none-any.whl", hash = "sha256:258ea6325537352440f71b35c3dffe9d240eae4a5126c1b7ce5efd5766bd9fd9"},
     {file = "azure_identity-1.21.0.tar.gz", hash = "sha256:ea22ce6e6b0f429bc1b8d9212d5b9f9877bd4c82f1724bfa910760612c07a9a6"},
@@ -286,6 +300,8 @@ version = "4.9.0"
 description = "Microsoft Azure Key Vault Secrets Client Library for Python"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"extra-proxy\""
 files = [
     {file = "azure_keyvault_secrets-4.9.0-py3-none-any.whl", hash = "sha256:33c7e2aca2cc2092cebc8c6e96eca36a5cc30c767e16ea429c5fa21270e9fba6"},
     {file = "azure_keyvault_secrets-4.9.0.tar.gz", hash = "sha256:2a03bb2ffd9a0d6c8ad1c330d9d0310113985a9de06607ece378fd72a5889fe1"},
@@ -302,6 +318,8 @@ version = "2.17.0"
 description = "Internationalization utilities"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"utils\""
 files = [
     {file = "babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2"},
     {file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"},
@@ -311,7 +329,7 @@ files = [
 pytz = {version = ">=2015.7", markers = "python_version < \"3.9\""}
 
 [package.extras]
-dev = ["backports.zoneinfo", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata"]
+dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""]
 
 [[package]]
 name = "backoff"
@@ -319,10 +337,12 @@ version = "2.2.1"
 description = "Function decoration for backoff and retry"
 optional = false
 python-versions = ">=3.7,<4.0"
+groups = ["main", "dev"]
 files = [
     {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
 ]
+markers = {main = "extra == \"proxy\""}
 
 [[package]]
 name = "backports-zoneinfo"
@@ -330,6 +350,8 @@ version = "0.2.1"
 description = "Backport of the standard library zoneinfo module"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"proxy\" and python_version < \"3.9\""
 files = [
     {file = "backports.zoneinfo-0.2.1-cp36-cp36m-macosx_10_14_x86_64.whl", hash = "sha256:da6013fd84a690242c310d77ddb8441a559e9cb3d3d59ebac9aca1a57b2e18bc"},
     {file = "backports.zoneinfo-0.2.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:89a48c0d158a3cc3f654da4c2de1ceba85263fafb861b98b59040a5086259722"},
@@ -358,6 +380,7 @@ version = "23.12.1"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "black-23.12.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e0aaf6041986767a5e0ce663c7a2f0e9eaf21e6ff87a5f95cbf3675bfd4c41d2"},
     {file = "black-23.12.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c88b3711d12905b74206227109272673edce0cb29f27e1385f33b0163c414bba"},
@@ -394,7 +417,7 @@ typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
+d = ["aiohttp (>=3.7.4) ; sys_platform != \"win32\" or implementation_name != \"pypy\"", "aiohttp (>=3.7.4,!=3.9.0) ; sys_platform == \"win32\" and implementation_name == \"pypy\""]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
@@ -404,6 +427,8 @@ version = "1.34.34"
 description = "The AWS SDK for Python"
 optional = true
 python-versions = ">= 3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "boto3-1.34.34-py3-none-any.whl", hash = "sha256:33a8b6d9136fa7427160edb92d2e50f2035f04e9d63a2d1027349053e12626aa"},
     {file = "boto3-1.34.34.tar.gz", hash = "sha256:b2f321e20966f021ec800b7f2c01287a3dd04fc5965acdfbaa9c505a24ca45d1"},
@@ -423,6 +448,8 @@ version = "1.34.162"
 description = "Low-level, data-driven core of boto 3."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "botocore-1.34.162-py3-none-any.whl", hash = "sha256:2d918b02db88d27a75b48275e6fb2506e9adaaddbec1ffa6a8a0898b34e769be"},
     {file = "botocore-1.34.162.tar.gz", hash = "sha256:adc23be4fb99ad31961236342b7cbf3c0bfc62532cd02852196032e8c0d682f3"},
@@ -432,8 +459,8 @@ files = [
 jmespath = ">=0.7.1,<2.0.0"
 python-dateutil = ">=2.1,<3.0.0"
 urllib3 = [
-    {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""},
     {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""},
+    {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""},
 ]
 
 [package.extras]
@@ -445,6 +472,8 @@ version = "5.5.2"
 description = "Extensible memoizing collections and decorators"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"extra-proxy\""
 files = [
     {file = "cachetools-5.5.2-py3-none-any.whl", hash = "sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a"},
     {file = "cachetools-5.5.2.tar.gz", hash = "sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4"},
@@ -456,6 +485,7 @@ version = "2025.6.15"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057"},
     {file = "certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b"},
@@ -467,6 +497,7 @@ version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
     {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
@@ -536,6 +567,7 @@ files = [
     {file = "cffi-1.17.1-cp39-cp39-win_amd64.whl", hash = "sha256:d016c76bdd850f3c626af19b0542c9677ba156e4ee4fccfdd7848803533ef662"},
     {file = "cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824"},
 ]
+markers = {main = "platform_python_implementation != \"PyPy\" or extra == \"proxy\"", dev = "platform_python_implementation != \"PyPy\"", proxy-dev = "platform_python_implementation != \"PyPy\""}
 
 [package.dependencies]
 pycparser = "*"
@@ -546,6 +578,7 @@ version = "3.4.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "charset_normalizer-3.4.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7c48ed483eb946e6c04ccbe02c6b4d1d48e51944b6db70f697e089c193404941"},
     {file = "charset_normalizer-3.4.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b2d318c11350e10662026ad0eb71bb51c7812fc8590825304ae0bdd4ac283acd"},
@@ -647,6 +680,7 @@ version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"},
     {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"},
@@ -661,10 +695,12 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
+markers = {main = "extra == \"utils\" and sys_platform == \"win32\" or platform_system == \"Windows\"", dev = "platform_system == \"Windows\" or sys_platform == \"win32\"", proxy-dev = "platform_system == \"Windows\""}
 
 [[package]]
 name = "coloredlogs"
@@ -672,6 +708,8 @@ version = "15.0.1"
 description = "Colored terminal output for Python's logging module"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
     {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
@@ -689,6 +727,7 @@ version = "43.0.3"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "cryptography-43.0.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:bf7a1932ac4176486eab36a19ed4c0492da5d97123f1406cf15e41b05e787d2e"},
     {file = "cryptography-43.0.3-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63efa177ff54aec6e1c0aefaa1a241232dcd37413835a9b674b6e3f0ae2bfd3e"},
@@ -738,6 +777,7 @@ version = "1.2.18"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+groups = ["dev", "proxy-dev"]
 files = [
     {file = "Deprecated-1.2.18-py2.py3-none-any.whl", hash = "sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec"},
     {file = "deprecated-1.2.18.tar.gz", hash = "sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d"},
@@ -747,7 +787,7 @@ files = [
 wrapt = ">=1.10,<2"
 
 [package.extras]
-dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "setuptools", "tox"]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "setuptools ; python_version >= \"3.12\"", "tox"]
 
 [[package]]
 name = "diskcache"
@@ -755,6 +795,8 @@ version = "5.6.3"
 description = "Disk Cache -- Disk and file backed persistent cache."
 optional = true
 python-versions = ">=3"
+groups = ["main"]
+markers = "extra == \"caching\""
 files = [
     {file = "diskcache-5.6.3-py3-none-any.whl", hash = "sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19"},
     {file = "diskcache-5.6.3.tar.gz", hash = "sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc"},
@@ -766,6 +808,7 @@ version = "1.9.0"
 description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
@@ -777,6 +820,8 @@ version = "2.6.1"
 description = "DNS toolkit"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "dnspython-2.6.1-py3-none-any.whl", hash = "sha256:5ef3b9680161f6fa89daf8ad451b5f1a33b18ae8a1c6778cdf4b43f08c0a6e50"},
     {file = "dnspython-2.6.1.tar.gz", hash = "sha256:e8f0f9c23a7b7cb99ded64e6c3a6f3e701d78f50c55e002b839dea7225cff7cc"},
@@ -797,6 +842,8 @@ version = "0.20.1"
 description = "Docutils -- Python Documentation Utilities"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"utils\""
 files = [
     {file = "docutils-0.20.1-py3-none-any.whl", hash = "sha256:96f387a2c5562db4476f09f13bbab2192e764cac08ebbf3a34a95d9b1e4a59d6"},
     {file = "docutils-0.20.1.tar.gz", hash = "sha256:f08a4e276c3a1583a86dce3e34aba3fe04d02bba2dd51ed16106244e8a923e3b"},
@@ -808,6 +855,8 @@ version = "2.2.0"
 description = "A robust email address syntax and deliverability validation library."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "email_validator-2.2.0-py3-none-any.whl", hash = "sha256:561977c2d73ce3611850a06fa56b414621e0c8faa9d66f2611407d87465da631"},
     {file = "email_validator-2.2.0.tar.gz", hash = "sha256:cb690f344c617a714f22e66ae771445a1ceb46821152df8e165c5f9a364582b7"},
@@ -823,6 +872,8 @@ version = "1.3.0"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "proxy-dev"]
+markers = "python_version <= \"3.10\""
 files = [
     {file = "exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10"},
     {file = "exceptiongroup-1.3.0.tar.gz", hash = "sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88"},
@@ -840,6 +891,8 @@ version = "0.115.13"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "fastapi-0.115.13-py3-none-any.whl", hash = "sha256:0a0cab59afa7bab22f5eb347f8c9864b681558c278395e94035a741fc10cd865"},
     {file = "fastapi-0.115.13.tar.gz", hash = "sha256:55d1d25c2e1e0a0a50aceb1c8705cd932def273c102bff0b1c1da88b3c6eb307"},
@@ -860,6 +913,8 @@ version = "0.16.0"
 description = "FastAPI plugin to enable SSO to most common providers (such as Facebook login, Google login and login via Microsoft Office 365 Account)"
 optional = true
 python-versions = "<4.0,>=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "fastapi_sso-0.16.0-py3-none-any.whl", hash = "sha256:3a66a942474ef9756d3a9d8b945d55bd9faf99781facdb9b87a40b73d6d6b0c3"},
     {file = "fastapi_sso-0.16.0.tar.gz", hash = "sha256:f3941f986347566b7d3747c710cf474a907f581bfb6697ff3bb3e44eb76b438c"},
@@ -878,6 +933,7 @@ version = "3.16.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
     {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
@@ -886,7 +942,7 @@ files = [
 [package.extras]
 docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"]
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
-typing = ["typing-extensions (>=4.12.2)"]
+typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
 
 [[package]]
 name = "flake8"
@@ -894,6 +950,7 @@ version = "6.1.0"
 description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
 python-versions = ">=3.8.1"
+groups = ["dev"]
 files = [
     {file = "flake8-6.1.0-py2.py3-none-any.whl", hash = "sha256:ffdfce58ea94c6580c77888a86506937f9a1a227dfcd15f245d694ae20a6b6e5"},
     {file = "flake8-6.1.0.tar.gz", hash = "sha256:d5b3857f07c030bdb5bf41c7f53799571d75c4491748a3adcd47de929e34cd23"},
@@ -910,6 +967,7 @@ version = "1.5.0"
 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5b6a66c18b5b9dd261ca98dffcb826a525334b2f29e7caa54e182255c5f6a65a"},
     {file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d1b3eb7b05ea246510b43a7e53ed1653e55c2121019a97e60cad7efb881a97bb"},
@@ -1011,6 +1069,7 @@ version = "2025.3.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "fsspec-2025.3.0-py3-none-any.whl", hash = "sha256:efb87af3efa9103f94ca91a7f8cb7a4df91af9f74fc106c9c7ea0efd7277c1b3"},
     {file = "fsspec-2025.3.0.tar.gz", hash = "sha256:a935fd1ea872591f2b5148907d103488fc523295e6c64b835cfad8c3eca44972"},
@@ -1050,6 +1109,8 @@ version = "2.25.1"
 description = "Google API client core library"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"extra-proxy\""
 files = [
     {file = "google_api_core-2.25.1-py3-none-any.whl", hash = "sha256:8a2a56c1fef82987a524371f99f3bd0143702fecc670c72e600c1cda6bf8dbb7"},
     {file = "google_api_core-2.25.1.tar.gz", hash = "sha256:d2aaa0b13c78c61cb3f4282c464c046e45fbd75755683c9c525e6e8f7ed0a5e8"},
@@ -1059,15 +1120,15 @@ files = [
 google-auth = ">=2.14.1,<3.0.0"
 googleapis-common-protos = ">=1.56.2,<2.0.0"
 grpcio = [
-    {version = ">=1.33.2,<2.0.0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
     {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0.0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
 ]
 grpcio-status = [
-    {version = ">=1.33.2,<2.0.0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
     {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0.0", optional = true, markers = "extra == \"grpc\""},
 ]
 proto-plus = [
-    {version = ">=1.22.3,<2.0.0", markers = "python_version < \"3.13\""},
+    {version = ">=1.22.3,<2.0.0"},
     {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
 ]
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
@@ -1075,7 +1136,7 @@ requests = ">=2.18.0,<3.0.0"
 
 [package.extras]
 async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.0)"]
-grpc = ["grpcio (>=1.33.2,<2.0.0)", "grpcio (>=1.49.1,<2.0.0)", "grpcio-status (>=1.33.2,<2.0.0)", "grpcio-status (>=1.49.1,<2.0.0)"]
+grpc = ["grpcio (>=1.33.2,<2.0.0)", "grpcio (>=1.49.1,<2.0.0) ; python_version >= \"3.11\"", "grpcio-status (>=1.33.2,<2.0.0)", "grpcio-status (>=1.49.1,<2.0.0) ; python_version >= \"3.11\""]
 grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"]
 grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"]
 
@@ -1085,6 +1146,8 @@ version = "2.40.3"
 description = "Google Authentication Library"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"extra-proxy\""
 files = [
     {file = "google_auth-2.40.3-py2.py3-none-any.whl", hash = "sha256:1370d4593e86213563547f97a92752fc658456fe4514c809544f330fed45a7ca"},
     {file = "google_auth-2.40.3.tar.gz", hash = "sha256:500c3a29adedeb36ea9cf24b8d10858e152f2412e3ca37829b3fa18e33d63b77"},
@@ -1098,11 +1161,11 @@ rsa = ">=3.1.4,<5"
 [package.extras]
 aiohttp = ["aiohttp (>=3.6.2,<4.0.0)", "requests (>=2.20.0,<3.0.0)"]
 enterprise-cert = ["cryptography", "pyopenssl"]
-pyjwt = ["cryptography (<39.0.0)", "cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
-pyopenssl = ["cryptography (<39.0.0)", "cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
+pyjwt = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
+pyopenssl = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
 requests = ["requests (>=2.20.0,<3.0.0)"]
-testing = ["aiohttp (<3.10.0)", "aiohttp (>=3.6.2,<4.0.0)", "aioresponses", "cryptography (<39.0.0)", "cryptography (>=38.0.3)", "flask", "freezegun", "grpcio", "mock", "oauth2client", "packaging", "pyjwt (>=2.0)", "pyopenssl (<24.3.0)", "pyopenssl (>=20.0.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.20.0,<3.0.0)", "responses", "urllib3"]
+testing = ["aiohttp (<3.10.0)", "aiohttp (>=3.6.2,<4.0.0)", "aioresponses", "cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "flask", "freezegun", "grpcio", "mock", "oauth2client", "packaging", "pyjwt (>=2.0)", "pyopenssl (<24.3.0)", "pyopenssl (>=20.0.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.20.0,<3.0.0)", "responses", "urllib3"]
 urllib3 = ["packaging", "urllib3"]
 
 [[package]]
@@ -1111,6 +1174,8 @@ version = "2.24.2"
 description = "Google Cloud Kms API client library"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"extra-proxy\""
 files = [
     {file = "google_cloud_kms-2.24.2-py2.py3-none-any.whl", hash = "sha256:368209b035dfac691a467c1cf50986d8b1b26cac1166bdfbaa25d738df91ff7b"},
     {file = "google_cloud_kms-2.24.2.tar.gz", hash = "sha256:e9e18bbfafd1a4035c76c03fb5ff03f4f57f596d08e1a9ede7e69ec0151b27a1"},
@@ -1129,10 +1194,12 @@ version = "1.70.0"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "googleapis_common_protos-1.70.0-py3-none-any.whl", hash = "sha256:b8bfcca8c25a2bb253e0e0b0adaf8c00773e5e6af6fd92397576680b807e0fd8"},
     {file = "googleapis_common_protos-1.70.0.tar.gz", hash = "sha256:0e1b44e0ea153e6594f9f394fef15193a68aaaea2d843f83e2742717ca753257"},
 ]
+markers = {main = "extra == \"extra-proxy\""}
 
 [package.dependencies]
 grpcio = {version = ">=1.44.0,<2.0.0", optional = true, markers = "extra == \"grpc\""}
@@ -1147,6 +1214,8 @@ version = "0.14.2"
 description = "IAM API client library"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"extra-proxy\""
 files = [
     {file = "grpc_google_iam_v1-0.14.2-py3-none-any.whl", hash = "sha256:a3171468459770907926d56a440b2bb643eec1d7ba215f48f3ecece42b4d8351"},
     {file = "grpc_google_iam_v1-0.14.2.tar.gz", hash = "sha256:b3e1fc387a1a329e41672197d0ace9de22c78dd7d215048c4c78712073f7bd20"},
@@ -1163,6 +1232,7 @@ version = "1.70.0"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "grpcio-1.70.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:95469d1977429f45fe7df441f586521361e235982a0b39e33841549143ae2851"},
     {file = "grpcio-1.70.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:ed9718f17fbdb472e33b869c77a16d0b55e166b100ec57b016dc7de9c8d236bf"},
@@ -1220,6 +1290,7 @@ files = [
     {file = "grpcio-1.70.0-cp39-cp39-win_amd64.whl", hash = "sha256:a31d7e3b529c94e930a117b2175b2efd179d96eb3c7a21ccb0289a8ab05b645c"},
     {file = "grpcio-1.70.0.tar.gz", hash = "sha256:8d1584a68d5922330025881e63a6c1b54cc8117291d382e4fa69339b6d914c56"},
 ]
+markers = {main = "extra == \"extra-proxy\""}
 
 [package.extras]
 protobuf = ["grpcio-tools (>=1.70.0)"]
@@ -1230,6 +1301,8 @@ version = "1.62.3"
 description = "Status proto mapping for gRPC"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"extra-proxy\""
 files = [
     {file = "grpcio-status-1.62.3.tar.gz", hash = "sha256:289bdd7b2459794a12cf95dc0cb727bd4a1742c37bd823f760236c937e53a485"},
     {file = "grpcio_status-1.62.3-py3-none-any.whl", hash = "sha256:f9049b762ba8de6b1086789d8315846e094edac2c50beaf462338b301a8fd4b8"},
@@ -1246,6 +1319,8 @@ version = "23.0.0"
 description = "WSGI HTTP Server for UNIX"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "gunicorn-23.0.0-py3-none-any.whl", hash = "sha256:ec400d38950de4dfd418cff8328b2c8faed0edb0d517d3394e457c317908ca4d"},
     {file = "gunicorn-23.0.0.tar.gz", hash = "sha256:f014447a0101dc57e294f6c18ca6b40227a4c90e9bdb586042628030cba004ec"},
@@ -1267,6 +1342,7 @@ version = "0.16.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"},
     {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
@@ -1278,6 +1354,7 @@ version = "4.1.0"
 description = "HTTP/2 State-Machine based protocol implementation"
 optional = false
 python-versions = ">=3.6.1"
+groups = ["proxy-dev"]
 files = [
     {file = "h2-4.1.0-py3-none-any.whl", hash = "sha256:03a46bcf682256c95b5fd9e9a99c1323584c3eec6440d379b9903d709476bc6d"},
     {file = "h2-4.1.0.tar.gz", hash = "sha256:a83aca08fbe7aacb79fec788c9c0bac936343560ed9ec18b82a13a12c28d2abb"},
@@ -1293,6 +1370,8 @@ version = "1.1.5"
 description = "Fast transfer of large files with the Hugging Face Hub."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""
 files = [
     {file = "hf_xet-1.1.5-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:f52c2fa3635b8c37c7764d8796dfa72706cc4eded19d638331161e82b0792e23"},
     {file = "hf_xet-1.1.5-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:9fa6e3ee5d61912c4a113e0708eaaef987047616465ac7aa30f7121a48fc1af8"},
@@ -1313,6 +1392,7 @@ version = "4.0.0"
 description = "Pure-Python HPACK header compression"
 optional = false
 python-versions = ">=3.6.1"
+groups = ["proxy-dev"]
 files = [
     {file = "hpack-4.0.0-py3-none-any.whl", hash = "sha256:84a076fad3dc9a9f8063ccb8041ef100867b1878b25ef0ee63847a5d53818a6c"},
     {file = "hpack-4.0.0.tar.gz", hash = "sha256:fc41de0c63e687ebffde81187a948221294896f6bdc0ae2312708df339430095"},
@@ -1324,6 +1404,7 @@ version = "1.0.9"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"},
     {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"},
@@ -1345,6 +1426,7 @@ version = "0.28.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
     {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
@@ -1357,7 +1439,7 @@ httpcore = "==1.*"
 idna = "*"
 
 [package.extras]
-brotli = ["brotli", "brotlicffi"]
+brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
@@ -1369,6 +1451,8 @@ version = "0.4.1"
 description = "Consume Server-Sent Event (SSE) messages with HTTPX."
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version >= \"3.10\" and extra == \"proxy\""
 files = [
     {file = "httpx_sse-0.4.1-py3-none-any.whl", hash = "sha256:cba42174344c3a5b06f255ce65b350880f962d99ead85e776f23c6618a377a37"},
     {file = "httpx_sse-0.4.1.tar.gz", hash = "sha256:8f44d34414bc7b21bf3602713005c5df4917884f76072479b21f68befa4ea26e"},
@@ -1380,6 +1464,7 @@ version = "0.33.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
 files = [
     {file = "huggingface_hub-0.33.1-py3-none-any.whl", hash = "sha256:ec8d7444628210c0ba27e968e3c4c973032d44dcea59ca0d78ef3f612196f095"},
     {file = "huggingface_hub-0.33.1.tar.gz", hash = "sha256:589b634f979da3ea4b8bdb3d79f97f547840dc83715918daf0b64209c0844c7b"},
@@ -1396,16 +1481,16 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (==1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (==1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (==1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (==1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
 hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"]
 inference = ["aiohttp"]
 mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"]
 oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"]
-quality = ["libcst (==1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "ruff (>=0.9.0)"]
+quality = ["libcst (==1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
 testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
@@ -1418,6 +1503,8 @@ version = "10.0"
 description = "Human friendly output for text interfaces using Python"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
     {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
@@ -1432,6 +1519,7 @@ version = "0.15.0"
 description = "A ASGI Server based on Hyper libraries and inspired by Gunicorn"
 optional = false
 python-versions = ">=3.7"
+groups = ["proxy-dev"]
 files = [
     {file = "hypercorn-0.15.0-py3-none-any.whl", hash = "sha256:5008944999612fd188d7a1ca02e89d20065642b89503020ac392dfed11840730"},
     {file = "hypercorn-0.15.0.tar.gz", hash = "sha256:d517f68d5dc7afa9a9d50ecefb0f769f466ebe8c1c18d2c2f447a24e763c9a63"},
@@ -1449,7 +1537,7 @@ wsproto = ">=0.14.0"
 docs = ["pydata_sphinx_theme", "sphinxcontrib_mermaid"]
 h3 = ["aioquic (>=0.9.0,<1.0)"]
 trio = ["exceptiongroup (>=1.1.0)", "trio (>=0.22.0)"]
-uvloop = ["uvloop"]
+uvloop = ["uvloop ; platform_system != \"Windows\""]
 
 [[package]]
 name = "hyperframe"
@@ -1457,6 +1545,7 @@ version = "6.0.1"
 description = "HTTP/2 framing layer for Python"
 optional = false
 python-versions = ">=3.6.1"
+groups = ["proxy-dev"]
 files = [
     {file = "hyperframe-6.0.1-py3-none-any.whl", hash = "sha256:0ec6bafd80d8ad2195c4f03aacba3a8265e57bc4cff261e802bf39970ed02a15"},
     {file = "hyperframe-6.0.1.tar.gz", hash = "sha256:ae510046231dc8e9ecb1a6586f63d2347bf4c8905914aa84ba585ae85f28a914"},
@@ -1468,6 +1557,7 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -1482,6 +1572,8 @@ version = "1.4.1"
 description = "Getting image size from png/jpeg/jpeg2000/gif file"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
+markers = "extra == \"utils\""
 files = [
     {file = "imagesize-1.4.1-py2.py3-none-any.whl", hash = "sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b"},
     {file = "imagesize-1.4.1.tar.gz", hash = "sha256:69150444affb9cb0d5cc5a92b3676f0b2fb7cd9ae39e947a5e11a36b4497cd4a"},
@@ -1493,6 +1585,7 @@ version = "7.1.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "importlib_metadata-7.1.0-py3-none-any.whl", hash = "sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570"},
     {file = "importlib_metadata-7.1.0.tar.gz", hash = "sha256:b78938b926ee8d5f020fc4772d487045805a55ddbad2ecf21c6d60938dc7fcd2"},
@@ -1504,7 +1597,7 @@ zipp = ">=0.5"
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy ; platform_python_implementation != \"PyPy\"", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "importlib-resources"
@@ -1512,6 +1605,8 @@ version = "6.4.5"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version < \"3.9\""
 files = [
     {file = "importlib_resources-6.4.5-py3-none-any.whl", hash = "sha256:ac29d5f956f01d5e4bb63102a5a19957f1b9175e45649977264a1416783bb717"},
     {file = "importlib_resources-6.4.5.tar.gz", hash = "sha256:980862a1d16c9e147a59603677fa2aa5fd82b87f223b6cb870695bcfce830065"},
@@ -1521,7 +1616,7 @@ files = [
 zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
@@ -1534,6 +1629,7 @@ version = "2.1.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"},
     {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"},
@@ -1545,6 +1641,8 @@ version = "0.7.2"
 description = "An ISO 8601 date/time/duration parser and formatter"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"extra-proxy\""
 files = [
     {file = "isodate-0.7.2-py3-none-any.whl", hash = "sha256:28009937d8031054830160fce6d409ed342816b543597cece116d966c6d99e15"},
     {file = "isodate-0.7.2.tar.gz", hash = "sha256:4cd1aa0f43ca76f4a6c6c0292a85f40b35ec2e43e315b59f06e6d32171a953e6"},
@@ -1556,6 +1654,7 @@ version = "3.1.6"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "proxy-dev"]
 files = [
     {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
     {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"},
@@ -1573,6 +1672,7 @@ version = "0.9.1"
 description = "Fast iterable JSON parser."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "jiter-0.9.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:c0163baa7ee85860fdc14cc39263014500df901eeffdf94c1eab9a2d713b2a9d"},
     {file = "jiter-0.9.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:514d4dd845e0af4da15112502e6fcb952f0721f27f17e530454e379472b90c14"},
@@ -1658,6 +1758,8 @@ version = "1.0.1"
 description = "JSON Matching Expressions"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "jmespath-1.0.1-py3-none-any.whl", hash = "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980"},
     {file = "jmespath-1.0.1.tar.gz", hash = "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"},
@@ -1669,6 +1771,7 @@ version = "4.23.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
     {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
@@ -1692,6 +1795,7 @@ version = "2023.12.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"},
     {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"},
@@ -1707,6 +1811,7 @@ version = "2.54.1"
 description = "A client library for accessing langfuse"
 optional = false
 python-versions = "<4.0,>=3.8.1"
+groups = ["dev"]
 files = [
     {file = "langfuse-2.54.1-py3-none-any.whl", hash = "sha256:1f1261cf763886758c70e192133340ff296169cc0930cde725eee52d467eb661"},
     {file = "langfuse-2.54.1.tar.gz", hash = "sha256:7efc70799740ffa0ac7e04066e0596fb6433e8e501fc850c6a4e7967de6de8a7"},
@@ -1728,12 +1833,14 @@ openai = ["openai (>=0.27.8)"]
 
 [[package]]
 name = "litellm-enterprise"
-version = "0.1.9"
+version = "0.1.10"
 description = "Package for LiteLLM Enterprise features"
 optional = true
 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
-    {file = "litellm_enterprise-0.1.9.tar.gz", hash = "sha256:2bdf629cf8bd36805bad70acb609bfa0c00eaf72d3b42f6e17c54c5b50758c4a"},
+    {file = "litellm_enterprise-0.1.10.tar.gz", hash = "sha256:bcdd10a2d10a7452e2b1802cc398517596ad5e8abac55a7f841e92388e7e6a6a"},
 ]
 
 [[package]]
@@ -1742,6 +1849,8 @@ version = "0.2.6"
 description = "Additional files for the LiteLLM Proxy. Reduces the size of the main litellm package."
 optional = true
 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "litellm_proxy_extras-0.2.6-py3-none-any.whl", hash = "sha256:ed5560f97f9bef69464ab3c1d54c90dc7e210c7ad3c05d1f3beb04e326764878"},
     {file = "litellm_proxy_extras-0.2.6.tar.gz", hash = "sha256:ef10577433d1c862bcbe54d28ace65111c8474fb7618d6f25f8e66ddb8ae4a32"},
@@ -1753,6 +1862,8 @@ version = "3.0.0"
 description = "Python port of markdown-it. Markdown parsing, done right!"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
     {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
@@ -1777,6 +1888,7 @@ version = "2.1.5"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "proxy-dev"]
 files = [
     {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"},
     {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"},
@@ -1846,6 +1958,7 @@ version = "0.7.0"
 description = "McCabe checker, plugin for flake8"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
 files = [
     {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
@@ -1857,6 +1970,8 @@ version = "1.9.3"
 description = "Model Context Protocol SDK"
 optional = true
 python-versions = ">=3.10"
+groups = ["main"]
+markers = "python_version >= \"3.10\" and extra == \"proxy\""
 files = [
     {file = "mcp-1.9.3-py3-none-any.whl", hash = "sha256:69b0136d1ac9927402ed4cf221d4b8ff875e7132b0b06edd446448766f34f9b9"},
     {file = "mcp-1.9.3.tar.gz", hash = "sha256:587ba38448e81885e5d1b84055cfcc0ca56d35cd0c58f50941cab01109405388"},
@@ -1884,6 +1999,8 @@ version = "0.1.2"
 description = "Markdown URL utilities"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
@@ -1895,6 +2012,8 @@ version = "0.4.1"
 description = ""
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "ml_dtypes-0.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1fe8b5b5e70cd67211db94b05cfd58dace592f24489b038dc6f9fe347d2e07d5"},
     {file = "ml_dtypes-0.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c09a6d11d8475c2a9fd2bc0695628aec105f97cab3b3a3fb7c9660348ff7d24"},
@@ -1917,10 +2036,10 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">1.20", markers = "python_version < \"3.10\""},
+    {version = ">=1.23.3", markers = "python_version >= \"3.11\""},
+    {version = ">1.20"},
+    {version = ">=1.21.2", markers = "python_version >= \"3.10\""},
     {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
-    {version = ">=1.23.3", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
-    {version = ">=1.21.2", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
 ]
 
 [package.extras]
@@ -1932,6 +2051,7 @@ version = "1.32.3"
 description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "proxy-dev"]
 files = [
     {file = "msal-1.32.3-py3-none-any.whl", hash = "sha256:b2798db57760b1961b142f027ffb7c8169536bf77316e99a0df5c4aaebb11569"},
     {file = "msal-1.32.3.tar.gz", hash = "sha256:5eea038689c78a5a70ca8ecbe1245458b55a857bd096efb6989c69ba15985d35"},
@@ -1943,7 +2063,7 @@ PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]}
 requests = ">=2.0.0,<3"
 
 [package.extras]
-broker = ["pymsalruntime (>=0.14,<0.18)", "pymsalruntime (>=0.17,<0.18)"]
+broker = ["pymsalruntime (>=0.14,<0.18) ; python_version >= \"3.6\" and platform_system == \"Windows\"", "pymsalruntime (>=0.17,<0.18) ; python_version >= \"3.8\" and platform_system == \"Darwin\""]
 
 [[package]]
 name = "msal-extensions"
@@ -1951,6 +2071,7 @@ version = "1.3.0"
 description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "proxy-dev"]
 files = [
     {file = "msal_extensions-1.3.0-py3-none-any.whl", hash = "sha256:105328ddcbdd342016c9949d8f89e3917554740c8ab26669c0fa0e069e730a0e"},
     {file = "msal_extensions-1.3.0.tar.gz", hash = "sha256:96918996642b38c78cd59b55efa0f06fd1373c90e0949be8615697c048fba62c"},
@@ -1968,6 +2089,7 @@ version = "6.1.0"
 description = "multidict implementation"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"},
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99f826cbf970077383d7de805c0681799491cb939c25450b9b5b3ced03ca99f1"},
@@ -2072,6 +2194,7 @@ version = "1.14.1"
 description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "mypy-1.14.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:52686e37cf13d559f668aa398dd7ddf1f92c5d613e4f8cb262be2fb4fedb0fcb"},
     {file = "mypy-1.14.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1fb545ca340537d4b45d3eecdb3def05e913299ca72c290326be19b3804b39c0"},
@@ -2131,6 +2254,7 @@ version = "1.1.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505"},
     {file = "mypy_extensions-1.1.0.tar.gz", hash = "sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558"},
@@ -2142,6 +2266,7 @@ version = "1.9.1"
 description = "Node.js virtual environment builder"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main", "proxy-dev"]
 files = [
     {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"},
     {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"},
@@ -2153,6 +2278,8 @@ version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.12\""
 files = [
     {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
     {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
@@ -2198,6 +2325,8 @@ version = "2.3.1"
 description = "Fundamental package for array computing in Python"
 optional = true
 python-versions = ">=3.11"
+groups = ["main"]
+markers = "python_version < \"3.14\" and extra == \"extra-proxy\" and python_version >= \"3.12\""
 files = [
     {file = "numpy-2.3.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6ea9e48336a402551f52cd8f593343699003d2353daa4b72ce8d34f66b722070"},
     {file = "numpy-2.3.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5ccb7336eaf0e77c1635b232c141846493a588ec9ea777a7c24d7166bb8533ae"},
@@ -2258,6 +2387,8 @@ version = "1.7.0"
 description = "Sphinx extension to support docstrings in Numpy format"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"utils\""
 files = [
     {file = "numpydoc-1.7.0-py3-none-any.whl", hash = "sha256:5a56419d931310d79a06cfc2a126d1558700feeb9b4f3d8dcae1a8134be829c9"},
     {file = "numpydoc-1.7.0.tar.gz", hash = "sha256:866e5ae5b6509dcf873fc6381120f5c31acf13b135636c1a81d68c166a95f921"},
@@ -2269,7 +2400,7 @@ tabulate = ">=0.8.10"
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
-developer = ["pre-commit (>=3.3)", "tomli"]
+developer = ["pre-commit (>=3.3)", "tomli ; python_version < \"3.11\""]
 doc = ["matplotlib (>=3.5)", "numpy (>=1.22)", "pydata-sphinx-theme (>=0.13.3)", "sphinx (>=7)"]
 test = ["matplotlib", "pytest", "pytest-cov"]
 
@@ -2279,6 +2410,8 @@ version = "3.3.1"
 description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "oauthlib-3.3.1-py3-none-any.whl", hash = "sha256:88119c938d2b8fb88561af5f6ee0eec8cc8d552b7bb1f712743136eb7523b7a1"},
     {file = "oauthlib-3.3.1.tar.gz", hash = "sha256:0f0f8aa759826a193cf66c12ea1af1637f87b9b4622d46e866952bb022e538c9"},
@@ -2295,6 +2428,7 @@ version = "1.91.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "openai-1.91.0-py3-none-any.whl", hash = "sha256:207f87aa3bc49365e014fac2f7e291b99929f4fe126c4654143440e0ad446a5f"},
     {file = "openai-1.91.0.tar.gz", hash = "sha256:d6b07730d2f7c6745d0991997c16f85cddfc90ddcde8d569c862c30716b9fc90"},
@@ -2322,6 +2456,7 @@ version = "1.25.0"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "proxy-dev"]
 files = [
     {file = "opentelemetry_api-1.25.0-py3-none-any.whl", hash = "sha256:757fa1aa020a0f8fa139f8959e53dec2051cc26b832e76fa839a6d76ecefd737"},
     {file = "opentelemetry_api-1.25.0.tar.gz", hash = "sha256:77c4985f62f2614e42ce77ee4c9da5fa5f0bc1e1821085e9a47533a9323ae869"},
@@ -2337,6 +2472,7 @@ version = "1.25.0"
 description = "OpenTelemetry Collector Exporters"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "proxy-dev"]
 files = [
     {file = "opentelemetry_exporter_otlp-1.25.0-py3-none-any.whl", hash = "sha256:d67a831757014a3bc3174e4cd629ae1493b7ba8d189e8a007003cacb9f1a6b60"},
     {file = "opentelemetry_exporter_otlp-1.25.0.tar.gz", hash = "sha256:ce03199c1680a845f82e12c0a6a8f61036048c07ec7a0bd943142aca8fa6ced0"},
@@ -2352,6 +2488,7 @@ version = "1.25.0"
 description = "OpenTelemetry Protobuf encoding"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "proxy-dev"]
 files = [
     {file = "opentelemetry_exporter_otlp_proto_common-1.25.0-py3-none-any.whl", hash = "sha256:15637b7d580c2675f70246563363775b4e6de947871e01d0f4e3881d1848d693"},
     {file = "opentelemetry_exporter_otlp_proto_common-1.25.0.tar.gz", hash = "sha256:c93f4e30da4eee02bacd1e004eb82ce4da143a2f8e15b987a9f603e0a85407d3"},
@@ -2366,6 +2503,7 @@ version = "1.25.0"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "proxy-dev"]
 files = [
     {file = "opentelemetry_exporter_otlp_proto_grpc-1.25.0-py3-none-any.whl", hash = "sha256:3131028f0c0a155a64c430ca600fd658e8e37043cb13209f0109db5c1a3e4eb4"},
     {file = "opentelemetry_exporter_otlp_proto_grpc-1.25.0.tar.gz", hash = "sha256:c0b1661415acec5af87625587efa1ccab68b873745ca0ee96b69bb1042087eac"},
@@ -2386,6 +2524,7 @@ version = "1.25.0"
 description = "OpenTelemetry Collector Protobuf over HTTP Exporter"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "proxy-dev"]
 files = [
     {file = "opentelemetry_exporter_otlp_proto_http-1.25.0-py3-none-any.whl", hash = "sha256:2eca686ee11b27acd28198b3ea5e5863a53d1266b91cda47c839d95d5e0541a6"},
     {file = "opentelemetry_exporter_otlp_proto_http-1.25.0.tar.gz", hash = "sha256:9f8723859e37c75183ea7afa73a3542f01d0fd274a5b97487ea24cb683d7d684"},
@@ -2406,6 +2545,7 @@ version = "1.25.0"
 description = "OpenTelemetry Python Proto"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "proxy-dev"]
 files = [
     {file = "opentelemetry_proto-1.25.0-py3-none-any.whl", hash = "sha256:f07e3341c78d835d9b86665903b199893befa5e98866f63d22b00d0b7ca4972f"},
     {file = "opentelemetry_proto-1.25.0.tar.gz", hash = "sha256:35b6ef9dc4a9f7853ecc5006738ad40443701e52c26099e197895cbda8b815a3"},
@@ -2420,6 +2560,7 @@ version = "1.25.0"
 description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "proxy-dev"]
 files = [
     {file = "opentelemetry_sdk-1.25.0-py3-none-any.whl", hash = "sha256:d97ff7ec4b351692e9d5a15af570c693b8715ad78b8aafbec5c7100fe966b4c9"},
     {file = "opentelemetry_sdk-1.25.0.tar.gz", hash = "sha256:ce7fc319c57707ef5bf8b74fb9f8ebdb8bfafbe11898410e0d2a761d08a98ec7"},
@@ -2436,6 +2577,7 @@ version = "0.46b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "proxy-dev"]
 files = [
     {file = "opentelemetry_semantic_conventions-0.46b0-py3-none-any.whl", hash = "sha256:6daef4ef9fa51d51855d9f8e0ccd3a1bd59e0e545abe99ac6203804e36ab3e07"},
     {file = "opentelemetry_semantic_conventions-0.46b0.tar.gz", hash = "sha256:fbc982ecbb6a6e90869b15c1673be90bd18c8a56ff1cffc0864e38e2edffaefa"},
@@ -2450,6 +2592,8 @@ version = "3.10.15"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "orjson-3.10.15-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:552c883d03ad185f720d0c09583ebde257e41b9521b74ff40e08b7dec4559c04"},
     {file = "orjson-3.10.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:616e3e8d438d02e4854f70bfdc03a6bcdb697358dbaa6bcd19cbe24d24ece1f8"},
@@ -2538,6 +2682,7 @@ version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
     {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
@@ -2549,6 +2694,7 @@ version = "0.12.1"
 description = "Utility library for gitignore style pattern matching of file paths."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08"},
     {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
@@ -2560,6 +2706,8 @@ version = "1.3.10"
 description = "Resolve a name to an object."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "python_version < \"3.9\""
 files = [
     {file = "pkgutil_resolve_name-1.3.10-py3-none-any.whl", hash = "sha256:ca27cc078d25c5ad71a9de0a7a330146c4e014c2462d9af19c6b828280649c5e"},
     {file = "pkgutil_resolve_name-1.3.10.tar.gz", hash = "sha256:357d6c9e6a755653cfd78893817c0853af365dd51ec97f3d358a819373bbd174"},
@@ -2571,6 +2719,7 @@ version = "4.3.6"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "platformdirs-4.3.6-py3-none-any.whl", hash = "sha256:73e575e1408ab8103900836b97580d5307456908a03e92031bab39e4554cc3fb"},
     {file = "platformdirs-4.3.6.tar.gz", hash = "sha256:357fb2acbc885b0419afd3ce3ed34564c13c9b95c89360cd9563f73aa5e2b907"},
@@ -2587,6 +2736,7 @@ version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
     {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
@@ -2602,6 +2752,7 @@ version = "2.0.0"
 description = "A pure-Python implementation of the HTTP/2 priority tree"
 optional = false
 python-versions = ">=3.6.1"
+groups = ["proxy-dev"]
 files = [
     {file = "priority-2.0.0-py3-none-any.whl", hash = "sha256:6f8eefce5f3ad59baf2c080a664037bb4725cd0a790d53d59ab4059288faf6aa"},
     {file = "priority-2.0.0.tar.gz", hash = "sha256:c965d54f1b8d0d0b19479db3924c7c36cf672dbf2aec92d43fbdaf4492ba18c0"},
@@ -2613,6 +2764,7 @@ version = "0.11.0"
 description = "Prisma Client Python is an auto-generated and fully type-safe database client"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main", "proxy-dev"]
 files = [
     {file = "prisma-0.11.0-py3-none-any.whl", hash = "sha256:22bb869e59a2968b99f3483bb417717273ffbc569fd1e9ceed95e5614cbaf53a"},
     {file = "prisma-0.11.0.tar.gz", hash = "sha256:3f2f2fd2361e1ec5ff655f2a04c7860c2f2a5bc4c91f78ca9c5c6349735bf693"},
@@ -2638,6 +2790,7 @@ version = "0.20.0"
 description = "Python client for the Prometheus monitoring system."
 optional = false
 python-versions = ">=3.8"
+groups = ["proxy-dev"]
 files = [
     {file = "prometheus_client-0.20.0-py3-none-any.whl", hash = "sha256:cde524a85bce83ca359cc837f28b8c0db5cac7aa653a588fd7e84ba061c329e7"},
     {file = "prometheus_client-0.20.0.tar.gz", hash = "sha256:287629d00b147a32dcb2be0b9df905da599b2d82f80377083ec8463309a4bb89"},
@@ -2652,6 +2805,7 @@ version = "0.2.0"
 description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "propcache-0.2.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c5869b8fd70b81835a6f187c5fdbe67917a04d7e52b6e7cc4e5fe39d55c39d58"},
     {file = "propcache-0.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:952e0d9d07609d9c5be361f33b0d6d650cd2bae393aabb11d9b719364521984b"},
@@ -2759,6 +2913,8 @@ version = "1.26.1"
 description = "Beautiful, Pythonic protocol buffers"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"extra-proxy\""
 files = [
     {file = "proto_plus-1.26.1-py3-none-any.whl", hash = "sha256:13285478c2dcf2abb829db158e1047e2f1e8d63a077d94263c2b88b043c75a66"},
     {file = "proto_plus-1.26.1.tar.gz", hash = "sha256:21a515a4c4c0088a773899e23c7bbade3d18f9c66c73edd4c7ee3816bc96a012"},
@@ -2776,6 +2932,7 @@ version = "4.25.8"
 description = ""
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "protobuf-4.25.8-cp310-abi3-win32.whl", hash = "sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0"},
     {file = "protobuf-4.25.8-cp310-abi3-win_amd64.whl", hash = "sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9"},
@@ -2789,6 +2946,7 @@ files = [
     {file = "protobuf-4.25.8-py3-none-any.whl", hash = "sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59"},
     {file = "protobuf-4.25.8.tar.gz", hash = "sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd"},
 ]
+markers = {main = "extra == \"extra-proxy\""}
 
 [[package]]
 name = "pyasn1"
@@ -2796,6 +2954,8 @@ version = "0.6.1"
 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"extra-proxy\""
 files = [
     {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"},
     {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"},
@@ -2807,6 +2967,8 @@ version = "0.4.2"
 description = "A collection of ASN.1-based protocols modules"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"extra-proxy\""
 files = [
     {file = "pyasn1_modules-0.4.2-py3-none-any.whl", hash = "sha256:29253a9207ce32b64c3ac6600edc75368f98473906e8fd1043bd6b5b1de2c14a"},
     {file = "pyasn1_modules-0.4.2.tar.gz", hash = "sha256:677091de870a80aae844b1ca6134f54652fa2c8c5a52aa396440ac3106e941e6"},
@@ -2821,6 +2983,7 @@ version = "2.11.1"
 description = "Python style guide checker"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pycodestyle-2.11.1-py2.py3-none-any.whl", hash = "sha256:44fe31000b2d866f2e41841b18528a505fbd7fef9017b04eff4e2648a0fadc67"},
     {file = "pycodestyle-2.11.1.tar.gz", hash = "sha256:41ba0e7afc9752dfb53ced5489e89f8186be00e599e712660695b7a75ff2663f"},
@@ -2832,10 +2995,12 @@ version = "2.22"
 description = "C parser in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
 ]
+markers = {main = "platform_python_implementation != \"PyPy\" or extra == \"proxy\"", dev = "platform_python_implementation != \"PyPy\"", proxy-dev = "platform_python_implementation != \"PyPy\""}
 
 [[package]]
 name = "pydantic"
@@ -2843,6 +3008,7 @@ version = "2.10.6"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "pydantic-2.10.6-py3-none-any.whl", hash = "sha256:427d664bf0b8a2b34ff5dd0f5a18df00591adcee7198fbd71981054cef37b584"},
     {file = "pydantic-2.10.6.tar.gz", hash = "sha256:ca5daa827cce33de7a42be142548b0096bf05a7e7b365aebfa5f8eeec7128236"},
@@ -2856,7 +3022,7 @@ typing-extensions = ">=4.12.2"
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
-timezone = ["tzdata"]
+timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""]
 
 [[package]]
 name = "pydantic-core"
@@ -2864,6 +3030,7 @@ version = "2.27.2"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "pydantic_core-2.27.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2d367ca20b2f14095a8f4fa1210f5a7b78b8a20009ecced6b12818f455b1e9fa"},
     {file = "pydantic_core-2.27.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:491a2b73db93fab69731eaee494f320faa4e093dbed776be1a829c2eb222c34c"},
@@ -2976,6 +3143,8 @@ version = "2.10.1"
 description = "Settings management using Pydantic"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version >= \"3.10\" and extra == \"proxy\""
 files = [
     {file = "pydantic_settings-2.10.1-py3-none-any.whl", hash = "sha256:a60952460b99cf661dc25c29c0ef171721f98bfcb52ef8d9ea4c943d7c8cc796"},
     {file = "pydantic_settings-2.10.1.tar.gz", hash = "sha256:06f0062169818d0f5524420a360d632d5857b83cffd4d42fe29597807a1614ee"},
@@ -2999,6 +3168,7 @@ version = "3.1.0"
 description = "passive checker of Python programs"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pyflakes-3.1.0-py2.py3-none-any.whl", hash = "sha256:4132f6d49cb4dae6819e5379898f2b8cce3c5f23994194c24b77d5da2e36f774"},
     {file = "pyflakes-3.1.0.tar.gz", hash = "sha256:a0aae034c444db0071aa077972ba4768d40c830d9539fd45bf4cd3f8f6992efc"},
@@ -3010,6 +3180,8 @@ version = "2.19.2"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"utils\" or extra == \"proxy\""
 files = [
     {file = "pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b"},
     {file = "pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887"},
@@ -3024,6 +3196,7 @@ version = "2.9.0"
 description = "JSON Web Token implementation in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "proxy-dev"]
 files = [
     {file = "PyJWT-2.9.0-py3-none-any.whl", hash = "sha256:3b02fb0f44517787776cf48f2ae25d8e14f300e6d7545a4315cee571a415e850"},
     {file = "pyjwt-2.9.0.tar.gz", hash = "sha256:7e1e5b56cc735432a7369cbfa0efe50fa113ebecdc04ae6922deba8b84582d0c"},
@@ -3044,6 +3217,8 @@ version = "1.5.0"
 description = "Python binding to the Networking and Cryptography (NaCl) library"
 optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "PyNaCl-1.5.0-cp36-abi3-macosx_10_10_universal2.whl", hash = "sha256:401002a4aaa07c9414132aaed7f6836ff98f59277a234704ff66878c2ee4a0d1"},
     {file = "PyNaCl-1.5.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:52cb72a79269189d4e0dc537556f4740f7f0a9ec41c1322598799b0bdad4ef92"},
@@ -3070,6 +3245,8 @@ version = "3.5.4"
 description = "A python implementation of GNU readline."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version >= \"3.9\" and sys_platform == \"win32\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "pyreadline3-3.5.4-py3-none-any.whl", hash = "sha256:eaf8e6cc3c49bcccf145fc6067ba8643d1df34d604a1ec0eccbf7a18e6d3fae6"},
     {file = "pyreadline3-3.5.4.tar.gz", hash = "sha256:8d57d53039a1c75adba8e50dd3d992b28143480816187ea5efbd5c78e6c885b7"},
@@ -3084,6 +3261,7 @@ version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
     {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
@@ -3106,6 +3284,7 @@ version = "0.21.2"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "pytest_asyncio-0.21.2-py3-none-any.whl", hash = "sha256:ab664c88bb7998f711d8039cacd4884da6430886ae8bbd4eded552ed2004f16b"},
     {file = "pytest_asyncio-0.21.2.tar.gz", hash = "sha256:d67738fc232b94b326b9d060750beb16e0074210b98dd8b58a5239fa2a154f45"},
@@ -3124,6 +3303,7 @@ version = "3.14.1"
 description = "Thin-wrapper around the mock package for easier use with pytest"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pytest_mock-3.14.1-py3-none-any.whl", hash = "sha256:178aefcd11307d874b4cd3100344e7e2d888d9791a6a1d9bfe90fbc1b74fd1d0"},
     {file = "pytest_mock-3.14.1.tar.gz", hash = "sha256:159e9edac4c451ce77a5cdb9fc5d1100708d2dd4ba3c3df572f14097351af80e"},
@@ -3141,6 +3321,8 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = true
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -3155,6 +3337,7 @@ version = "1.0.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "proxy-dev"]
 files = [
     {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"},
     {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
@@ -3169,6 +3352,8 @@ version = "0.0.18"
 description = "A streaming multipart parser for Python"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "python_multipart-0.0.18-py3-none-any.whl", hash = "sha256:efe91480f485f6a361427a541db4796f9e1591afc0fb8e7a4ba06bfbc6708996"},
     {file = "python_multipart-0.0.18.tar.gz", hash = "sha256:7a68db60c8bfb82e460637fa4750727b45af1d5e2ed215593f917f64694d34fe"},
@@ -3180,6 +3365,8 @@ version = "3.0.0"
 description = "Universally unique lexicographically sortable identifier"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "python_ulid-3.0.0-py3-none-any.whl", hash = "sha256:e4c4942ff50dbd79167ad01ac725ec58f924b4018025ce22c858bfcff99a5e31"},
     {file = "python_ulid-3.0.0.tar.gz", hash = "sha256:e50296a47dc8209d28629a22fc81ca26c00982c78934bd7766377ba37ea49a9f"},
@@ -3194,6 +3381,8 @@ version = "2025.2"
 description = "World timezone definitions, modern and historical"
 optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "extra == \"utils\" and python_version < \"3.9\""
 files = [
     {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"},
     {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"},
@@ -3205,6 +3394,7 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
@@ -3267,6 +3457,8 @@ version = "5.3.0"
 description = "Python client for Redis database and key-value store"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version >= \"3.9\" and (extra == \"extra-proxy\" or extra == \"proxy\") and python_version < \"3.14\" or extra == \"proxy\""
 files = [
     {file = "redis-5.3.0-py3-none-any.whl", hash = "sha256:f1deeca1ea2ef25c1e4e46b07f4ea1275140526b1feea4c6459c0ec27a10ef83"},
     {file = "redis-5.3.0.tar.gz", hash = "sha256:8d69d2dde11a12dc85d0dbf5c45577a5af048e2456f7077d87ad35c1c81c310e"},
@@ -3286,6 +3478,8 @@ version = "0.4.1"
 description = "Python client library and CLI for using Redis as a vector database"
 optional = true
 python-versions = "<3.14,>=3.9"
+groups = ["main"]
+markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "redisvl-0.4.1-py3-none-any.whl", hash = "sha256:6db5d5bc95b1fe8032a1cdae74ce1c65bc7fe9054e5429b5d34d5a91d28bae5f"},
     {file = "redisvl-0.4.1.tar.gz", hash = "sha256:fd6a36426ba94792c0efca20915c31232d4ee3cc58eb23794a62c142696401e6"},
@@ -3310,7 +3504,7 @@ bedrock = ["boto3[bedrock] (>=1.36.0,<2.0.0)"]
 cohere = ["cohere (>=4.44)"]
 mistralai = ["mistralai (>=1.0.0)"]
 openai = ["openai (>=1.13.0,<2.0.0)"]
-sentence-transformers = ["scipy (<1.15)", "scipy (>=1.15,<2.0)", "sentence-transformers (>=3.4.0,<4.0.0)"]
+sentence-transformers = ["scipy (<1.15) ; python_version < \"3.10\"", "scipy (>=1.15,<2.0) ; python_version >= \"3.10\"", "sentence-transformers (>=3.4.0,<4.0.0)"]
 vertexai = ["google-cloud-aiplatform (>=1.26,<2.0)", "protobuf (>=5.29.1,<6.0.0)"]
 voyageai = ["voyageai (>=0.2.2)"]
 
@@ -3320,6 +3514,7 @@ version = "0.35.1"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "referencing-0.35.1-py3-none-any.whl", hash = "sha256:eda6d3234d62814d1c64e305c1331c9a3a6132da475ab6382eaa997b21ee75de"},
     {file = "referencing-0.35.1.tar.gz", hash = "sha256:25b42124a6c8b632a425174f24087783efb348a6f1e0008e63cd4466fedf703c"},
@@ -3335,6 +3530,7 @@ version = "2024.11.6"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91"},
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:658f90550f38270639e83ce492f27d2c8d2cd63805c65a13a14d36ca126753f0"},
@@ -3438,6 +3634,7 @@ version = "2.31.0"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"},
     {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"},
@@ -3459,6 +3656,7 @@ version = "1.12.1"
 description = "Mock out responses from the requests package"
 optional = false
 python-versions = ">=3.5"
+groups = ["dev"]
 files = [
     {file = "requests-mock-1.12.1.tar.gz", hash = "sha256:e9e12e333b525156e82a3c852f22016b9158220d2f47454de9cae8a77d371401"},
     {file = "requests_mock-1.12.1-py2.py3-none-any.whl", hash = "sha256:b1e37054004cdd5e56c84454cc7df12b25f90f382159087f4b6915aaeef39563"},
@@ -3476,6 +3674,8 @@ version = "0.8.0"
 description = "Resend Python SDK"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"extra-proxy\""
 files = [
     {file = "resend-0.8.0-py2.py3-none-any.whl", hash = "sha256:adc1515dadf4f4fc6b90db55a237f0f37fc56fd74287a986519a8a187fdb661d"},
     {file = "resend-0.8.0.tar.gz", hash = "sha256:94142394701724dbcfcd8f760f675c662a1025013e741dd7cc773ca885526257"},
@@ -3490,6 +3690,7 @@ version = "0.25.7"
 description = "A utility library for mocking out the `requests` Python library."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "responses-0.25.7-py3-none-any.whl", hash = "sha256:92ca17416c90fe6b35921f52179bff29332076bb32694c0df02dcac2c6bc043c"},
     {file = "responses-0.25.7.tar.gz", hash = "sha256:8ebae11405d7a5df79ab6fd54277f6f2bc29b2d002d0dd2d5c632594d1ddcedb"},
@@ -3501,7 +3702,7 @@ requests = ">=2.30.0,<3.0"
 urllib3 = ">=1.25.10,<3.0"
 
 [package.extras]
-tests = ["coverage (>=6.0.0)", "flake8", "mypy", "pytest (>=7.0.0)", "pytest-asyncio", "pytest-cov", "pytest-httpserver", "tomli", "tomli-w", "types-PyYAML", "types-requests"]
+tests = ["coverage (>=6.0.0)", "flake8", "mypy", "pytest (>=7.0.0)", "pytest-asyncio", "pytest-cov", "pytest-httpserver", "tomli ; python_version < \"3.11\"", "tomli-w", "types-PyYAML", "types-requests"]
 
 [[package]]
 name = "respx"
@@ -3509,6 +3710,7 @@ version = "0.22.0"
 description = "A utility for mocking out the Python HTTPX and HTTP Core libraries."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "respx-0.22.0-py2.py3-none-any.whl", hash = "sha256:631128d4c9aba15e56903fb5f66fb1eff412ce28dd387ca3a81339e52dbd3ad0"},
     {file = "respx-0.22.0.tar.gz", hash = "sha256:3c8924caa2a50bd71aefc07aa812f2466ff489f1848c96e954a5362d17095d91"},
@@ -3523,6 +3725,8 @@ version = "13.7.1"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = true
 python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "rich-13.7.1-py3-none-any.whl", hash = "sha256:4edbae314f59eb482f54e9e30bf00d33350aaa94f4bfcd4e9e3110e64d0d7222"},
     {file = "rich-13.7.1.tar.gz", hash = "sha256:9be308cb1fe2f1f57d67ce99e95af38a1e2bc71ad9813b0e247cf7ffbcc3a432"},
@@ -3542,6 +3746,7 @@ version = "0.20.1"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "rpds_py-0.20.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:a649dfd735fff086e8a9d0503a9f0c7d01b7912a333c7ae77e1515c08c146dad"},
     {file = "rpds_py-0.20.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f16bc1334853e91ddaaa1217045dd7be166170beec337576818461268a3de67f"},
@@ -3654,6 +3859,8 @@ version = "2.3.3"
 description = "RQ is a simple, lightweight, library for creating background jobs, and processing them."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "rq-2.3.3-py3-none-any.whl", hash = "sha256:2202c4409c4c527ac4bee409867d6c02515dd110030499eb0de54c7374aee0ce"},
     {file = "rq-2.3.3.tar.gz", hash = "sha256:20c41c977b6f27c852a41bd855893717402bae7b8d9607dca21fe9dd55453e22"},
@@ -3669,6 +3876,8 @@ version = "4.9.1"
 description = "Pure-Python RSA implementation"
 optional = true
 python-versions = "<4,>=3.6"
+groups = ["main"]
+markers = "extra == \"extra-proxy\""
 files = [
     {file = "rsa-4.9.1-py3-none-any.whl", hash = "sha256:68635866661c6836b8d39430f97a996acbd61bfa49406748ea243539fe239762"},
     {file = "rsa-4.9.1.tar.gz", hash = "sha256:e7bdbfdb5497da4c07dfd35530e1a902659db6ff241e39d9953cad06ebd0ae75"},
@@ -3683,6 +3892,7 @@ version = "0.1.15"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "ruff-0.1.15-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:5fe8d54df166ecc24106db7dd6a68d44852d14eb0729ea4672bb4d96c320b7df"},
     {file = "ruff-0.1.15-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:6f0bfbb53c4b4de117ac4d6ddfd33aa5fc31beeaa21d23c45c6dd249faf9126f"},
@@ -3709,6 +3919,8 @@ version = "0.10.4"
 description = "An Amazon S3 Transfer Manager"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "s3transfer-0.10.4-py3-none-any.whl", hash = "sha256:244a76a24355363a68164241438de1b72f8781664920260c48465896b712a41e"},
     {file = "s3transfer-0.10.4.tar.gz", hash = "sha256:29edc09801743c21eb5ecbc617a152df41d3c287f67b615f73e5f750583666a7"},
@@ -3726,6 +3938,7 @@ version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main", "proxy-dev"]
 files = [
     {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
@@ -3737,6 +3950,7 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
@@ -3748,6 +3962,8 @@ version = "3.0.1"
 description = "This package provides 32 stemmers for 30 languages generated from Snowball algorithms."
 optional = true
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*"
+groups = ["main"]
+markers = "extra == \"utils\""
 files = [
     {file = "snowballstemmer-3.0.1-py3-none-any.whl", hash = "sha256:6cd7b3897da8d6c9ffb968a6781fa6532dce9c3618a4b127d920dab764a19064"},
     {file = "snowballstemmer-3.0.1.tar.gz", hash = "sha256:6d5eeeec8e9f84d4d56b847692bacf79bc2c8e90c7f80ca4444ff8b6f2e52895"},
@@ -3759,6 +3975,8 @@ version = "7.1.2"
 description = "Python documentation generator"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"utils\""
 files = [
     {file = "sphinx-7.1.2-py3-none-any.whl", hash = "sha256:d170a81825b2fcacb6dfd5a0d7f578a053e45d3f2b153fecc948c37344eb4cbe"},
     {file = "sphinx-7.1.2.tar.gz", hash = "sha256:780f4d32f1d7d1126576e0e5ecc19dc32ab76cd24e950228dcf7b1f6d3d9e22f"},
@@ -3794,6 +4012,8 @@ version = "1.0.4"
 description = "sphinxcontrib-applehelp is a Sphinx extension which outputs Apple help books"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"utils\""
 files = [
     {file = "sphinxcontrib-applehelp-1.0.4.tar.gz", hash = "sha256:828f867945bbe39817c210a1abfd1bc4895c8b73fcaade56d45357a348a07d7e"},
     {file = "sphinxcontrib_applehelp-1.0.4-py3-none-any.whl", hash = "sha256:29d341f67fb0f6f586b23ad80e072c8e6ad0b48417db2bde114a4c9746feb228"},
@@ -3809,6 +4029,8 @@ version = "1.0.2"
 description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp document."
 optional = true
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "extra == \"utils\""
 files = [
     {file = "sphinxcontrib-devhelp-1.0.2.tar.gz", hash = "sha256:ff7f1afa7b9642e7060379360a67e9c41e8f3121f2ce9164266f61b9f4b338e4"},
     {file = "sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl", hash = "sha256:8165223f9a335cc1af7ffe1ed31d2871f325254c0423bc0c4c7cd1c1e4734a2e"},
@@ -3824,6 +4046,8 @@ version = "2.0.1"
 description = "sphinxcontrib-htmlhelp is a sphinx extension which renders HTML help files"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"utils\""
 files = [
     {file = "sphinxcontrib-htmlhelp-2.0.1.tar.gz", hash = "sha256:0cbdd302815330058422b98a113195c9249825d681e18f11e8b1f78a2f11efff"},
     {file = "sphinxcontrib_htmlhelp-2.0.1-py3-none-any.whl", hash = "sha256:c38cb46dccf316c79de6e5515e1770414b797162b23cd3d06e67020e1d2a6903"},
@@ -3839,6 +4063,8 @@ version = "1.0.1"
 description = "A sphinx extension which renders display math in HTML via JavaScript"
 optional = true
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "extra == \"utils\""
 files = [
     {file = "sphinxcontrib-jsmath-1.0.1.tar.gz", hash = "sha256:a9925e4a4587247ed2191a22df5f6970656cb8ca2bd6284309578f2153e0c4b8"},
     {file = "sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl", hash = "sha256:2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178"},
@@ -3853,6 +4079,8 @@ version = "1.0.3"
 description = "sphinxcontrib-qthelp is a sphinx extension which outputs QtHelp document."
 optional = true
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "extra == \"utils\""
 files = [
     {file = "sphinxcontrib-qthelp-1.0.3.tar.gz", hash = "sha256:4c33767ee058b70dba89a6fc5c1892c0d57a54be67ddd3e7875a18d14cba5a72"},
     {file = "sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl", hash = "sha256:bd9fc24bcb748a8d51fd4ecaade681350aa63009a347a8c14e637895444dfab6"},
@@ -3868,6 +4096,8 @@ version = "1.1.5"
 description = "sphinxcontrib-serializinghtml is a sphinx extension which outputs \"serialized\" HTML files (json and pickle)."
 optional = true
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "extra == \"utils\""
 files = [
     {file = "sphinxcontrib-serializinghtml-1.1.5.tar.gz", hash = "sha256:aa5f6de5dfdf809ef505c4895e51ef5c9eac17d0f287933eb49ec495280b6952"},
     {file = "sphinxcontrib_serializinghtml-1.1.5-py2.py3-none-any.whl", hash = "sha256:352a9a00ae864471d3a7ead8d7d79f5fc0b57e8b3f95e9867eb9eb28999b92fd"},
@@ -3883,6 +4113,8 @@ version = "2.1.3"
 description = "SSE plugin for Starlette"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version >= \"3.10\" and extra == \"proxy\""
 files = [
     {file = "sse_starlette-2.1.3-py3-none-any.whl", hash = "sha256:8ec846438b4665b9e8c560fcdea6bc8081a3abf7942faa95e5a744999d219772"},
     {file = "sse_starlette-2.1.3.tar.gz", hash = "sha256:9cd27eb35319e1414e3d2558ee7414487f9529ce3b3cf9b21434fd110e017169"},
@@ -3902,6 +4134,8 @@ version = "0.44.0"
 description = "The little ASGI library that shines."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "starlette-0.44.0-py3-none-any.whl", hash = "sha256:19edeb75844c16dcd4f9dd72f22f9108c1539f3fc9c4c88885654fef64f85aea"},
     {file = "starlette-0.44.0.tar.gz", hash = "sha256:e35166950a3ccccc701962fe0711db0bc14f2ecd37c6f9fe5e3eae0cbaea8715"},
@@ -3920,6 +4154,8 @@ version = "0.9.0"
 description = "Pretty-print tabular data"
 optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version >= \"3.9\" and (extra == \"extra-proxy\" or extra == \"utils\") and python_version < \"3.14\" or extra == \"utils\""
 files = [
     {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
     {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
@@ -3934,6 +4170,8 @@ version = "0.2.2"
 description = "backport of asyncio.TaskGroup, asyncio.Runner and asyncio.timeout"
 optional = false
 python-versions = "*"
+groups = ["proxy-dev"]
+markers = "python_version <= \"3.10\""
 files = [
     {file = "taskgroup-0.2.2-py2.py3-none-any.whl", hash = "sha256:e2c53121609f4ae97303e9ea1524304b4de6faf9eb2c9280c7f87976479a52fb"},
     {file = "taskgroup-0.2.2.tar.gz", hash = "sha256:078483ac3e78f2e3f973e2edbf6941374fbea81b9c5d0a96f51d297717f4752d"},
@@ -3949,6 +4187,8 @@ version = "9.1.2"
 description = "Retry code until it succeeds"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version >= \"3.9\" and extra == \"extra-proxy\" and python_version < \"3.14\""
 files = [
     {file = "tenacity-9.1.2-py3-none-any.whl", hash = "sha256:f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138"},
     {file = "tenacity-9.1.2.tar.gz", hash = "sha256:1169d376c297e7de388d18b4481760d478b0e99a777cad3a9c86e556f4b697cb"},
@@ -3964,6 +4204,7 @@ version = "0.7.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "tiktoken-0.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:485f3cc6aba7c6b6ce388ba634fbba656d9ee27f766216f45146beb4ac18b25f"},
     {file = "tiktoken-0.7.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e54be9a2cd2f6d6ffa3517b064983fb695c9a9d8aa7d574d1ef3c3f931a99225"},
@@ -4016,6 +4257,7 @@ version = "0.21.0"
 description = ""
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "tokenizers-0.21.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:3c4c93eae637e7d2aaae3d376f06085164e1660f89304c0ab2b1d08a406636b2"},
     {file = "tokenizers-0.21.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:f53ea537c925422a2e0e92a24cce96f6bc5046bbef24a1652a5edc8ba975f62e"},
@@ -4048,6 +4290,7 @@ version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
     {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
@@ -4082,6 +4325,7 @@ files = [
     {file = "tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc"},
     {file = "tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff"},
 ]
+markers = {main = "extra == \"utils\" and python_version <= \"3.10\"", dev = "python_version <= \"3.10\"", proxy-dev = "python_version <= \"3.10\""}
 
 [[package]]
 name = "tomlkit"
@@ -4089,6 +4333,7 @@ version = "0.13.3"
 description = "Style preserving TOML library"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "proxy-dev"]
 files = [
     {file = "tomlkit-0.13.3-py3-none-any.whl", hash = "sha256:c89c649d79ee40629a9fda55f8ace8c6a1b42deb912b2a8fd8d942ddadb606b0"},
     {file = "tomlkit-0.13.3.tar.gz", hash = "sha256:430cf247ee57df2b94ee3fbe588e71d362a941ebb545dec29b53961d61add2a1"},
@@ -4100,6 +4345,7 @@ version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
     {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
@@ -4121,6 +4367,7 @@ version = "1.16.0.20241221"
 description = "Typing stubs for cffi"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "types_cffi-1.16.0.20241221-py3-none-any.whl", hash = "sha256:e5b76b4211d7a9185f6ab8d06a106d56c7eb80af7cdb8bfcb4186ade10fb112f"},
     {file = "types_cffi-1.16.0.20241221.tar.gz", hash = "sha256:1c96649618f4b6145f58231acb976e0b448be6b847f7ab733dabe62dfbff6591"},
@@ -4135,6 +4382,7 @@ version = "24.1.0.20240722"
 description = "Typing stubs for pyOpenSSL"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "types-pyOpenSSL-24.1.0.20240722.tar.gz", hash = "sha256:47913b4678a01d879f503a12044468221ed8576263c1540dcb0484ca21b08c39"},
     {file = "types_pyOpenSSL-24.1.0.20240722-py3-none-any.whl", hash = "sha256:6a7a5d2ec042537934cfb4c9d4deb0e16c4c6250b09358df1f083682fe6fda54"},
@@ -4150,6 +4398,7 @@ version = "6.0.12.20241230"
 description = "Typing stubs for PyYAML"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "types_PyYAML-6.0.12.20241230-py3-none-any.whl", hash = "sha256:fa4d32565219b68e6dee5f67534c722e53c00d1cfc09c435ef04d7353e1e96e6"},
     {file = "types_pyyaml-6.0.12.20241230.tar.gz", hash = "sha256:7f07622dbd34bb9c8b264fe860a17e0efcad00d50b5f27e93984909d9363498c"},
@@ -4161,6 +4410,7 @@ version = "4.6.0.20241004"
 description = "Typing stubs for redis"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "types-redis-4.6.0.20241004.tar.gz", hash = "sha256:5f17d2b3f9091ab75384153bfa276619ffa1cf6a38da60e10d5e6749cc5b902e"},
     {file = "types_redis-4.6.0.20241004-py3-none-any.whl", hash = "sha256:ef5da68cb827e5f606c8f9c0b49eeee4c2669d6d97122f301d3a55dc6a63f6ed"},
@@ -4176,6 +4426,8 @@ version = "2.31.0.6"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
+markers = "python_version < \"3.10\""
 files = [
     {file = "types-requests-2.31.0.6.tar.gz", hash = "sha256:cd74ce3b53c461f1228a9b783929ac73a666658f223e28ed29753771477b3bd0"},
     {file = "types_requests-2.31.0.6-py3-none-any.whl", hash = "sha256:a2db9cb228a81da8348b49ad6db3f5519452dd20a9c1e1a868c83c5fe88fd1a9"},
@@ -4190,6 +4442,8 @@ version = "2.32.0.20241016"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version >= \"3.10\""
 files = [
     {file = "types-requests-2.32.0.20241016.tar.gz", hash = "sha256:0d9cad2f27515d0e3e3da7134a1b6f28fb97129d86b867f24d9c726452634d95"},
     {file = "types_requests-2.32.0.20241016-py3-none-any.whl", hash = "sha256:4195d62d6d3e043a4eaaf08ff8a62184584d2e8684e9d2aa178c7915a7da3747"},
@@ -4204,6 +4458,7 @@ version = "75.8.0.20250110"
 description = "Typing stubs for setuptools"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "types_setuptools-75.8.0.20250110-py3-none-any.whl", hash = "sha256:a9f12980bbf9bcdc23ecd80755789085bad6bfce4060c2275bc2b4ca9f2bc480"},
     {file = "types_setuptools-75.8.0.20250110.tar.gz", hash = "sha256:96f7ec8bbd6e0a54ea180d66ad68ad7a1d7954e7281a710ea2de75e355545271"},
@@ -4215,6 +4470,8 @@ version = "1.26.25.14"
 description = "Typing stubs for urllib3"
 optional = false
 python-versions = "*"
+groups = ["dev"]
+markers = "python_version < \"3.10\""
 files = [
     {file = "types-urllib3-1.26.25.14.tar.gz", hash = "sha256:229b7f577c951b8c1b92c1bc2b2fdb0b49847bd2af6d1cc2a2e3dd340f3bda8f"},
     {file = "types_urllib3-1.26.25.14-py3-none-any.whl", hash = "sha256:9683bbb7fb72e32bfe9d2be6e04875fbe1b3eeec3cbb4ea231435aa7fd6b4f0e"},
@@ -4226,6 +4483,7 @@ version = "4.13.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c"},
     {file = "typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef"},
@@ -4237,6 +4495,8 @@ version = "0.4.1"
 description = "Runtime typing introspection tools"
 optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version >= \"3.10\" and extra == \"proxy\""
 files = [
     {file = "typing_inspection-0.4.1-py3-none-any.whl", hash = "sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51"},
     {file = "typing_inspection-0.4.1.tar.gz", hash = "sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28"},
@@ -4251,6 +4511,8 @@ version = "2025.2"
 description = "Provider of IANA time zone data"
 optional = true
 python-versions = ">=2"
+groups = ["main"]
+markers = "extra == \"proxy\" and platform_system == \"Windows\""
 files = [
     {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"},
     {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"},
@@ -4262,6 +4524,8 @@ version = "5.2"
 description = "tzinfo object for the local timezone"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "tzlocal-5.2-py3-none-any.whl", hash = "sha256:49816ef2fe65ea8ac19d19aa7a1ae0551c834303d5014c6d5a62e4cbda8047b8"},
     {file = "tzlocal-5.2.tar.gz", hash = "sha256:8d399205578f1a9342816409cc1e46a93ebd5755e39ea2d85334bea911bf0e6e"},
@@ -4280,14 +4544,16 @@ version = "1.26.20"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+groups = ["main", "dev", "proxy-dev"]
+markers = "python_version < \"3.10\""
 files = [
     {file = "urllib3-1.26.20-py2.py3-none-any.whl", hash = "sha256:0ed14ccfbf1c30a9072c7ca157e4319b70d65f623e91e7b32fadb2853431016e"},
     {file = "urllib3-1.26.20.tar.gz", hash = "sha256:40c2dc0c681e47eb8f90e7e27bf6ff7df2e677421fd46756da1161c39ca70d32"},
 ]
 
 [package.extras]
-brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
+brotli = ["brotli (==1.0.9) ; os_name != \"nt\" and python_version < \"3\" and platform_python_implementation == \"CPython\"", "brotli (>=1.0.9) ; python_version >= \"3\" and platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; (os_name != \"nt\" or python_version >= \"3\") and platform_python_implementation != \"CPython\"", "brotlipy (>=0.6.0) ; os_name == \"nt\" and python_version < \"3\""]
+secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress ; python_version == \"2.7\"", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
 [[package]]
@@ -4296,13 +4562,15 @@ version = "2.2.3"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "proxy-dev"]
+markers = "python_version >= \"3.10\""
 files = [
     {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
     {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
@@ -4313,6 +4581,8 @@ version = "0.29.0"
 description = "The lightning-fast ASGI server."
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "uvicorn-0.29.0-py3-none-any.whl", hash = "sha256:2c2aac7ff4f4365c206fd773a39bf4ebd1047c238f8b8268ad996829323473de"},
     {file = "uvicorn-0.29.0.tar.gz", hash = "sha256:6a69214c0b6a087462412670b3ef21224fa48cae0e452b5883e8e8bdfdd11dd0"},
@@ -4324,7 +4594,7 @@ h11 = ">=0.8"
 typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
-standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
+standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"]
 
 [[package]]
 name = "uvloop"
@@ -4332,6 +4602,8 @@ version = "0.21.0"
 description = "Fast implementation of asyncio event loop on top of libuv"
 optional = true
 python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "sys_platform != \"win32\" and extra == \"proxy\""
 files = [
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f"},
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d"},
@@ -4383,6 +4655,8 @@ version = "13.1"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"proxy\""
 files = [
     {file = "websockets-13.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f48c749857f8fb598fb890a75f540e3221d0976ed0bf879cf3c7eef34151acee"},
     {file = "websockets-13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c7e72ce6bda6fb9409cc1e8164dd41d7c91466fb599eb047cfda72fe758a34a7"},
@@ -4478,6 +4752,7 @@ version = "1.17.2"
 description = "Module for decorators, wrappers and monkey patching."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev", "proxy-dev"]
 files = [
     {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3d57c572081fed831ad2d26fd430d565b76aa277ed1d30ff4d40670b1c0dd984"},
     {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b5e251054542ae57ac7f3fba5d10bfff615b6c2fb09abeb37d2f1463f841ae22"},
@@ -4566,6 +4841,7 @@ version = "1.2.0"
 description = "WebSockets state-machine based protocol implementation"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["proxy-dev"]
 files = [
     {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
     {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
@@ -4580,6 +4856,7 @@ version = "1.15.2"
 description = "Yet another URL library"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "yarl-1.15.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e4ee8b8639070ff246ad3649294336b06db37a94bdea0d09ea491603e0be73b8"},
     {file = "yarl-1.15.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a7cf963a357c5f00cb55b1955df8bbe68d2f2f65de065160a1c26b85a1e44172"},
@@ -4692,17 +4969,18 @@ version = "3.20.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "proxy-dev"]
 files = [
     {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
     {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]
 
 [extras]
@@ -4712,6 +4990,6 @@ proxy = ["PyJWT", "apscheduler", "backoff", "boto3", "cryptography", "fastapi",
 utils = ["numpydoc"]
 
 [metadata]
-lock-version = "2.0"
+lock-version = "2.1"
 python-versions = ">=3.8.1,<4.0, !=3.9.7"
-content-hash = "49b9a951a4fa45aed575ebaf36d7158b63b7d23665f83344a11dd4d954ac881a"
+content-hash = "3af0b1a75c3328caee0941f01bcc82f917149d412bce0783728fe3910c48f962"
diff --git a/pyproject.toml b/pyproject.toml
index a39d3ab7420..373d911e41c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "litellm"
-version = "1.73.6"
+version = "1.73.6.rc.2"
 description = "Library to easily interface with LLM API providers"
 authors = ["BerriAI"]
 license = "MIT"
@@ -58,7 +58,7 @@ redisvl = {version = "^0.4.1", optional = true, markers = "python_version >= '3.
 mcp = {version = "1.9.3", optional = true, python = ">=3.10"}
 litellm-proxy-extras = {version = "0.2.6", optional = true}
 rich = {version = "13.7.1", optional = true}
-litellm-enterprise = {version = "0.1.9", optional = true}
+litellm-enterprise = {version = "0.1.10", optional = true}
 diskcache = {version = "^5.6.1", optional = true}
 
 [tool.poetry.extras]
@@ -141,7 +141,7 @@ requires = ["poetry-core", "wheel"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.commitizen]
-version = "1.73.6"
+version = "1.73.6.rc.2"
 version_files = [
     "pyproject.toml:^version"
 ]
diff --git a/requirements.txt b/requirements.txt
index b50ad713c33..105edb03db3 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -57,4 +57,4 @@ websockets==13.1.0 # for realtime API
 ########################
 # LITELLM ENTERPRISE DEPENDENCIES
 ########################
-litellm-enterprise==0.1.9
+litellm-enterprise==0.1.10
diff --git a/tests/code_coverage_tests/test_proxy_types_import.py b/tests/code_coverage_tests/test_proxy_types_import.py
new file mode 100644
index 00000000000..f0027d8870b
--- /dev/null
+++ b/tests/code_coverage_tests/test_proxy_types_import.py
@@ -0,0 +1,98 @@
+import ast
+import os
+import sys
+
+
+def test_proxy_types_not_imported():
+    """
+    Test that proxy._types is not directly imported in litellm/__init__.py
+    by examining the source code using AST parsing.
+    """
+    # Read the litellm/__init__.py file
+    # local_init_file = "../litellm/"
+    init_file_path = os.path.join("./litellm", "__init__.py")
+    if not os.path.exists(init_file_path):
+        raise Exception(f"Could not find {init_file_path}")
+    
+    with open(init_file_path, "r") as f:
+        content = f.read()
+        lines = content.splitlines()  # Get lines for line number reporting
+    
+    try:
+        tree = ast.parse(content)
+    except SyntaxError as e:
+        raise Exception(f"Could not parse {init_file_path}: {e}")
+    
+    # Check for direct imports of proxy._types
+    found_imports = []
+    
+    for node in ast.walk(tree):
+        if isinstance(node, ast.Import):
+            for alias in node.names:
+                if "proxy._types" in alias.name or "proxy/_types" in alias.name:
+                    line_num = node.lineno
+                    line_content = lines[line_num - 1] if line_num <= len(lines) else "Unknown"
+                    import_statement = f"import {alias.name}"
+                    found_imports.append({
+                        'type': 'import',
+                        'line': line_num,
+                        'content': line_content.strip(),
+                        'statement': import_statement,
+                        'module': alias.name
+                    })
+                    
+        elif isinstance(node, ast.ImportFrom):
+            if node.module and ("proxy._types" in node.module or "proxy/_types" in node.module):
+                line_num = node.lineno
+                line_content = lines[line_num - 1] if line_num <= len(lines) else "Unknown"
+                import_names = [alias.name for alias in node.names]
+                import_statement = f"from {node.module} import {', '.join(import_names)}"
+                found_imports.append({
+                    'type': 'from_import',
+                    'line': line_num,
+                    'content': line_content.strip(),
+                    'statement': import_statement,
+                    'module': node.module
+                })
+    
+    if found_imports:
+        print("❌ BAD, this can import time to import litellm. Found direct imports of proxy._types in litellm/__init__.py:")
+        print("=" * 80)
+        for imp in found_imports:
+            print(f"Line {imp['line']}: {imp['content']}")
+            print(f"  Type: {imp['type']}")
+            print(f"  Statement: {imp['statement']}")
+            print(f"  Module: {imp['module']}")
+            print("-" * 80)
+        print("To fix this, please conditionally import this TYPE using TYPE_CHECKING")
+        
+        raise Exception(
+            f"Found {len(found_imports)} direct import(s) of proxy._types in litellm/__init__.py"
+        )
+    
+    print("✓ No direct imports of proxy._types found in litellm/__init__.py")
+    return True
+
+
+def main():
+    """
+    Main function to run the import test
+    """
+    print("=" * 60)
+    print("Testing litellm import performance")
+    print("Checking that proxy._types is not directly imported from litellm/__init__.py")
+    print("=" * 60)
+    
+    try:
+        test_proxy_types_not_imported()
+        print("\n" + "=" * 60)
+        print("✓ Test passed! proxy._types is not directly imported from litellm/__init__.py")
+        print("=" * 60)
+    except Exception as e:
+        print(f"\n❌ Test failed: {e}")
+        print("=" * 60)
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main() 
\ No newline at end of file
diff --git a/tests/litellm_utils_tests/test_secret_manager.py b/tests/litellm_utils_tests/test_secret_manager.py
index cd9230d937e..cc0977cc519 100644
--- a/tests/litellm_utils_tests/test_secret_manager.py
+++ b/tests/litellm_utils_tests/test_secret_manager.py
@@ -296,7 +296,7 @@ def test_should_read_secret_from_secret_manager():
     """
     Test that _should_read_secret_from_secret_manager returns correct values based on access mode
     """
-    from litellm.proxy._types import KeyManagementSettings
+    from litellm.types.secret_managers.main import KeyManagementSettings
 
     # Test when secret manager client is None
     litellm.secret_manager_client = None
@@ -327,7 +327,7 @@ def test_get_secret_with_access_mode():
     """
     Test that get_secret respects access mode settings
     """
-    from litellm.proxy._types import KeyManagementSettings
+    from litellm.types.secret_managers.main import KeyManagementSettings
 
     # Set up test environment
     test_secret_name = "TEST_SECRET_KEY"
diff --git a/tests/litellm_utils_tests/test_utils.py b/tests/litellm_utils_tests/test_utils.py
index b59b95d3f54..fe5ab1d4dee 100644
--- a/tests/litellm_utils_tests/test_utils.py
+++ b/tests/litellm_utils_tests/test_utils.py
@@ -2230,3 +2230,25 @@ def test_get_valid_models_from_dynamic_api_key():
     valid_models = get_valid_models(custom_llm_provider="anthropic", litellm_params=creds, check_provider_endpoint=True)
     assert len(valid_models) > 0
     assert "anthropic/claude-3-7-sonnet-20250219" in valid_models
+
+
+
+def test_get_whitelisted_models():
+    """
+    Snapshot of all bedrock models as of 12/24/2024.
+
+    Enforce any new bedrock chat model to be added as `bedrock_converse` unless explicitly whitelisted.
+
+    Create whitelist to prevent naming regressions for older litellm versions.
+    """
+    whitelisted_models = []
+    for model, info in litellm.model_cost.items():
+        if info["litellm_provider"] == "bedrock" and info["mode"] == "chat":
+            whitelisted_models.append(model)
+
+        # Write to a local file
+    with open("whitelisted_bedrock_models.txt", "w") as file:
+        for model in whitelisted_models:
+            file.write(f"{model}\n")
+
+    print("whitelisted_models written to whitelisted_bedrock_models.txt")
\ No newline at end of file
diff --git a/tests/llm_translation/test_gemini.py b/tests/llm_translation/test_gemini.py
index 0f094552820..1ce43f1c273 100644
--- a/tests/llm_translation/test_gemini.py
+++ b/tests/llm_translation/test_gemini.py
@@ -16,10 +16,11 @@ from litellm.llms.vertex_ai.context_caching.transformation import (
 import litellm
 from litellm import completion
 
+
 class TestGoogleAIStudioGemini(BaseLLMChatTest):
     def get_base_completion_call_args(self) -> dict:
         return {"model": "gemini/gemini-2.0-flash"}
-    
+
     def get_base_completion_call_args_with_reasoning_model(self) -> dict:
         return {"model": "gemini/gemini-2.5-flash-preview-04-17"}
 
@@ -34,6 +35,7 @@ class TestGoogleAIStudioGemini(BaseLLMChatTest):
 
     def test_url_context(self):
         from litellm.utils import supports_url_context
+
         os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
         litellm.model_cost = litellm.get_model_cost_map(url="")
 
@@ -46,14 +48,22 @@ class TestGoogleAIStudioGemini(BaseLLMChatTest):
 
         response = self.completion_function(
             **base_completion_call_args,
-            messages=[{"role": "user", "content": "Summarize the content of this URL: https://en.wikipedia.org/wiki/Artificial_intelligence"}],
+            messages=[
+                {
+                    "role": "user",
+                    "content": "Summarize the content of this URL: https://en.wikipedia.org/wiki/Artificial_intelligence",
+                }
+            ],
             tools=[{"urlContext": {}}],
         )
 
         assert response is not None
-        assert response.model_extra['vertex_ai_url_context_metadata'] is not None, "URL context metadata should be present"
+        assert (
+            response.model_extra["vertex_ai_url_context_metadata"] is not None
+        ), "URL context metadata should be present"
         print(f"response={response}")
 
+
 def test_gemini_context_caching_separate_messages():
     messages = [
         # System Message
@@ -111,7 +121,6 @@ def test_gemini_image_generation():
     assert response.choices[0].message.content is not None
 
 
-
 def test_gemini_thinking():
     litellm._turn_on_debug()
     from litellm.types.utils import Message, CallTypes
@@ -119,10 +128,20 @@ def test_gemini_thinking():
     import json
 
     messages = [
-        {"role": "user", "content": "Explain the concept of Occam's Razor and provide a simple, everyday example"}
+        {
+            "role": "user",
+            "content": "Explain the concept of Occam's Razor and provide a simple, everyday example",
+        }
     ]
     reasoning_content = "I'm thinking about Occam's Razor."
-    assistant_message = Message(content='Okay, let\'s break down Occam\'s Razor.', reasoning_content=reasoning_content, role='assistant', tool_calls=None, function_call=None, provider_specific_fields=None)
+    assistant_message = Message(
+        content="Okay, let's break down Occam's Razor.",
+        reasoning_content=reasoning_content,
+        role="assistant",
+        tool_calls=None,
+        function_call=None,
+        provider_specific_fields=None,
+    )
 
     messages.append(assistant_message)
 
@@ -131,12 +150,12 @@ def test_gemini_thinking():
         kwargs={
             "model": "gemini/gemini-2.5-flash-preview-04-17",
             "messages": messages,
-        }
+        },
     )
     assert reasoning_content in json.dumps(raw_request)
     response = completion(
         model="gemini/gemini-2.5-flash-preview-04-17",
-        messages=messages, # make sure call works
+        messages=messages,  # make sure call works
     )
     print(response.choices[0].message)
     assert response.choices[0].message.content is not None
@@ -152,9 +171,14 @@ def test_gemini_thinking_budget_0():
         endpoint=CallTypes.completion,
         kwargs={
             "model": "gemini/gemini-2.5-flash-preview-04-17",
-            "messages": [{"role": "user", "content": "Explain the concept of Occam's Razor and provide a simple, everyday example"}],
-            "thinking": {"type": "enabled", "budget_tokens": 0}
-        }
+            "messages": [
+                {
+                    "role": "user",
+                    "content": "Explain the concept of Occam's Razor and provide a simple, everyday example",
+                }
+            ],
+            "thinking": {"type": "enabled", "budget_tokens": 0},
+        },
     )
     print(raw_request)
     assert "0" in json.dumps(raw_request["raw_request_body"])
@@ -163,8 +187,13 @@ def test_gemini_thinking_budget_0():
 def test_gemini_finish_reason():
     import os
     from litellm import completion
+
     litellm._turn_on_debug()
-    response = completion(model="gemini/gemini-1.5-pro", messages=[{"role": "user", "content": "give me 3 random words"}], max_tokens=2)
+    response = completion(
+        model="gemini/gemini-1.5-pro",
+        messages=[{"role": "user", "content": "give me 3 random words"}],
+        max_tokens=2,
+    )
     print(response)
     assert response.choices[0].finish_reason is not None
     assert response.choices[0].finish_reason == "length"
@@ -172,6 +201,7 @@ def test_gemini_finish_reason():
 
 def test_gemini_url_context():
     from litellm import completion
+
     litellm._turn_on_debug()
 
     url = "https://ai.google.dev/gemini-api/docs/models"
@@ -180,23 +210,24 @@ def test_gemini_url_context():
     {url}
     """
     response = completion(
-            model="gemini/gemini-2.0-flash",
-            messages=[{"role": "user", "content": prompt}],
-            tools=[{"urlContext": {}}],
-        )
+        model="gemini/gemini-2.0-flash",
+        messages=[{"role": "user", "content": prompt}],
+        tools=[{"urlContext": {}}],
+    )
     print(response)
     message = response.choices[0].message.content
     assert message is not None
-    url_context_metadata = response.model_extra['vertex_ai_url_context_metadata']
+    url_context_metadata = response.model_extra["vertex_ai_url_context_metadata"]
     assert url_context_metadata is not None
-    urlMetadata = url_context_metadata[0]['urlMetadata'][0]
-    assert urlMetadata['retrievedUrl'] == url
-    assert urlMetadata['urlRetrievalStatus'] == 'URL_RETRIEVAL_STATUS_SUCCESS'
+    urlMetadata = url_context_metadata[0]["urlMetadata"][0]
+    assert urlMetadata["retrievedUrl"] == url
+    assert urlMetadata["urlRetrievalStatus"] == "URL_RETRIEVAL_STATUS_SUCCESS"
 
 
 @pytest.mark.flaky(retries=3, delay=2)
 def test_gemini_with_grounding():
     from litellm import completion, Usage, stream_chunk_builder
+
     litellm._turn_on_debug()
     litellm.set_verbose = True
     tools = [{"googleSearch": {}}]
@@ -207,10 +238,15 @@ def test_gemini_with_grounding():
     # assert usage.prompt_tokens_details.web_search_requests is not None
     # assert usage.prompt_tokens_details.web_search_requests > 0
 
-
     ## Check streaming
 
-    response = completion(model="gemini/gemini-2.0-flash", messages=[{"role": "user", "content": "What is the capital of France?"}], tools=tools, stream=True, stream_options={"include_usage": True})
+    response = completion(
+        model="gemini/gemini-2.0-flash",
+        messages=[{"role": "user", "content": "What is the capital of France?"}],
+        tools=tools,
+        stream=True,
+        stream_options={"include_usage": True},
+    )
     chunks = []
     for chunk in response:
         chunks.append(chunk)
@@ -226,6 +262,7 @@ def test_gemini_with_grounding():
 
 def test_gemini_with_empty_function_call_arguments():
     from litellm import completion
+
     litellm._turn_on_debug()
     tools = [
         {
@@ -236,6 +273,157 @@ def test_gemini_with_empty_function_call_arguments():
             },
         }
     ]
-    response = completion(model="gemini/gemini-2.0-flash", messages=[{"role": "user", "content": "What is the capital of France?"}], tools=tools)
+    response = completion(
+        model="gemini/gemini-2.0-flash",
+        messages=[{"role": "user", "content": "What is the capital of France?"}],
+        tools=tools,
+    )
     print(response)
-    assert response.choices[0].message.content is not None
\ No newline at end of file
+    assert response.choices[0].message.content is not None
+
+
+@pytest.mark.asyncio
+async def test_claude_tool_use_with_gemini():
+    response = await litellm.anthropic.messages.acreate(
+        messages=[
+            {"role": "user", "content": "Hello, can you tell me the weather in Boston?"}
+        ],
+        model="gemini/gemini-2.5-flash",
+        stream=True,
+        max_tokens=100,
+        tools=[
+            {
+                "name": "get_weather",
+                "description": "Get current weather information for a specific location",
+                "input_schema": {
+                    "type": "object",
+                    "properties": {"location": {"type": "string"}},
+                },
+            }
+        ],
+    )
+
+    is_content_block_tool_use = False
+    is_partial_json = False
+    has_usage_in_message_delta = False
+    is_content_block_stop = False
+
+    async for chunk in response:
+        print(chunk)
+        if "content_block_stop" in str(chunk):
+            is_content_block_stop = True
+
+        # Handle bytes chunks (SSE format)
+        if isinstance(chunk, bytes):
+            chunk_str = chunk.decode("utf-8")
+
+            # Parse SSE format: event: <type>\ndata: <json>\n\n
+            if "data: " in chunk_str:
+                try:
+                    # Extract JSON from data line
+                    data_line = [
+                        line
+                        for line in chunk_str.split("\n")
+                        if line.startswith("data: ")
+                    ][0]
+                    json_str = data_line[6:]  # Remove 'data: ' prefix
+                    chunk_data = json.loads(json_str)
+
+                    # Check for tool_use
+                    if "tool_use" in json_str:
+                        is_content_block_tool_use = True
+                    if "partial_json" in json_str:
+                        is_partial_json = True
+                    if "content_block_stop" in json_str:
+                        is_content_block_stop = True
+
+                    # Check for usage in message_delta with stop_reason
+                    if (
+                        chunk_data.get("type") == "message_delta"
+                        and chunk_data.get("delta", {}).get("stop_reason") is not None
+                        and "usage" in chunk_data
+                    ):
+                        has_usage_in_message_delta = True
+                        # Verify usage has the expected structure
+                        usage = chunk_data["usage"]
+                        assert (
+                            "input_tokens" in usage
+                        ), "input_tokens should be present in usage"
+                        assert (
+                            "output_tokens" in usage
+                        ), "output_tokens should be present in usage"
+                        assert isinstance(
+                            usage["input_tokens"], int
+                        ), "input_tokens should be an integer"
+                        assert isinstance(
+                            usage["output_tokens"], int
+                        ), "output_tokens should be an integer"
+                        print(f"Found usage in message_delta: {usage}")
+
+                except (json.JSONDecodeError, IndexError) as e:
+                    # Skip chunks that aren't valid JSON
+                    pass
+        else:
+            # Handle dict chunks (fallback)
+            if "tool_use" in str(chunk):
+                is_content_block_tool_use = True
+            if "partial_json" in str(chunk):
+                is_partial_json = True
+            if "content_block_stop" in str(chunk):
+                is_content_block_stop = True
+
+    assert is_content_block_tool_use, "content_block_tool_use should be present"
+    assert is_partial_json, "partial_json should be present"
+    assert (
+        has_usage_in_message_delta
+    ), "Usage should be present in message_delta with stop_reason"
+    assert is_content_block_stop, "is_content_block_stop should be present"
+
+
+def test_gemini_tool_use():
+    data = {
+        "max_tokens": 8192,
+        "stream": True,
+        "temperature": 0.3,
+        "messages": [
+            {"role": "system", "content": "You are a helpful assistant."},
+            {"role": "user", "content": "What's the weather like in Lima, Peru today?"},
+        ],
+        "model": "gemini/gemini-2.0-flash",
+        "tools": [
+            {
+                "type": "function",
+                "function": {
+                    "name": "get_weather",
+                    "description": "Retrieve current weather for a specific location",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "location": {
+                                "type": "string",
+                                "description": "City and country, e.g., Lima, Peru",
+                            },
+                            "unit": {
+                                "type": "string",
+                                "enum": ["celsius", "fahrenheit"],
+                                "description": "Temperature unit",
+                            },
+                        },
+                        "required": ["location"],
+                    },
+                },
+            }
+        ],
+        "stream_options": {"include_usage": True},
+    }
+
+    response = litellm.completion(**data)
+    print(response)
+
+    stop_reason = None
+    for chunk in response:
+        print(chunk)
+        if chunk.choices[0].finish_reason:
+            stop_reason = chunk.choices[0].finish_reason
+    assert stop_reason is not None
+    assert stop_reason == "tool_calls"
diff --git a/tests/local_testing/test_get_model_info.py b/tests/local_testing/test_get_model_info.py
index 40e52c8173b..823f03185d5 100644
--- a/tests/local_testing/test_get_model_info.py
+++ b/tests/local_testing/test_get_model_info.py
@@ -158,26 +158,6 @@ def test_get_model_info_ft_model_with_provider_prefix():
     assert info["key"] == "ft:gpt-3.5-turbo"
 
 
-def test_get_whitelisted_models():
-    """
-    Snapshot of all bedrock models as of 12/24/2024.
-
-    Enforce any new bedrock chat model to be added as `bedrock_converse` unless explicitly whitelisted.
-
-    Create whitelist to prevent naming regressions for older litellm versions.
-    """
-    whitelisted_models = []
-    for model, info in litellm.model_cost.items():
-        if info["litellm_provider"] == "bedrock" and info["mode"] == "chat":
-            whitelisted_models.append(model)
-
-        # Write to a local file
-    with open("whitelisted_bedrock_models.txt", "w") as file:
-        for model in whitelisted_models:
-            file.write(f"{model}\n")
-
-    print("whitelisted_models written to whitelisted_bedrock_models.txt")
-
 
 def _enforce_bedrock_converse_models(
     model_cost: List[Dict[str, Any]], whitelist_models: List[str]
diff --git a/tests/proxy_admin_ui_tests/test_key_management.py b/tests/proxy_admin_ui_tests/test_key_management.py
index 766d4835b3a..b3522c88164 100644
--- a/tests/proxy_admin_ui_tests/test_key_management.py
+++ b/tests/proxy_admin_ui_tests/test_key_management.py
@@ -80,7 +80,6 @@ from litellm.proxy._types import (
     DynamoDBArgs,
     GenerateKeyRequest,
     KeyRequest,
-    LiteLLM_UpperboundKeyGenerateParams,
     NewCustomerRequest,
     NewTeamRequest,
     NewUserRequest,
@@ -92,6 +91,7 @@ from litellm.proxy._types import (
     UpdateUserRequest,
     UserAPIKeyAuth,
 )
+from litellm.types.proxy.management_endpoints.ui_sso import LiteLLM_UpperboundKeyGenerateParams
 
 proxy_logging_obj = ProxyLogging(user_api_key_cache=DualCache())
 
diff --git a/tests/proxy_admin_ui_tests/test_usage_endpoints.py b/tests/proxy_admin_ui_tests/test_usage_endpoints.py
index ab5e5fb834c..61d4e944936 100644
--- a/tests/proxy_admin_ui_tests/test_usage_endpoints.py
+++ b/tests/proxy_admin_ui_tests/test_usage_endpoints.py
@@ -87,12 +87,12 @@ verbose_proxy_logger.setLevel(level=logging.DEBUG)
 from starlette.datastructures import URL
 
 from litellm.caching.caching import DualCache
+from litellm.types.proxy.management_endpoints.ui_sso import LiteLLM_UpperboundKeyGenerateParams
 from litellm.proxy._types import (
     DynamoDBArgs,
     GenerateKeyRequest,
     RegenerateKeyRequest,
     KeyRequest,
-    LiteLLM_UpperboundKeyGenerateParams,
     NewCustomerRequest,
     NewTeamRequest,
     NewUserRequest,
diff --git a/tests/proxy_unit_tests/test_e2e_pod_lock_manager.py b/tests/proxy_unit_tests/test_e2e_pod_lock_manager.py
index a9bede34986..5f4a16f4a0e 100644
--- a/tests/proxy_unit_tests/test_e2e_pod_lock_manager.py
+++ b/tests/proxy_unit_tests/test_e2e_pod_lock_manager.py
@@ -75,11 +75,11 @@ verbose_proxy_logger.setLevel(level=logging.DEBUG)
 from starlette.datastructures import URL
 
 from litellm.caching.caching import DualCache, RedisCache
+from litellm.types.proxy.management_endpoints.ui_sso import LiteLLM_UpperboundKeyGenerateParams
 from litellm.proxy._types import (
     DynamoDBArgs,
     GenerateKeyRequest,
     KeyRequest,
-    LiteLLM_UpperboundKeyGenerateParams,
     NewCustomerRequest,
     NewTeamRequest,
     NewUserRequest,
diff --git a/tests/proxy_unit_tests/test_key_generate_prisma.py b/tests/proxy_unit_tests/test_key_generate_prisma.py
index 4b0df3e0f3a..d8b826a3876 100644
--- a/tests/proxy_unit_tests/test_key_generate_prisma.py
+++ b/tests/proxy_unit_tests/test_key_generate_prisma.py
@@ -94,11 +94,11 @@ verbose_proxy_logger.setLevel(level=logging.DEBUG)
 from starlette.datastructures import URL
 
 from litellm.caching.caching import DualCache
+from litellm.types.proxy.management_endpoints.ui_sso import LiteLLM_UpperboundKeyGenerateParams
 from litellm.proxy._types import (
     DynamoDBArgs,
     GenerateKeyRequest,
     KeyRequest,
-    LiteLLM_UpperboundKeyGenerateParams,
     NewCustomerRequest,
     NewTeamRequest,
     NewUserRequest,
@@ -3608,7 +3608,7 @@ async def test_key_generate_with_secret_manager_call(prisma_client):
     assert it is deleted from the secret manager
     """
     from litellm.secret_managers.aws_secret_manager_v2 import AWSSecretsManagerV2
-    from litellm.proxy._types import KeyManagementSystem, KeyManagementSettings
+    from litellm.types.secret_managers.main import KeyManagementSystem, KeyManagementSettings
 
     from litellm.proxy.hooks.key_management_event_hooks import (
         LITELLM_PREFIX_STORED_VIRTUAL_KEYS,
diff --git a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
index 7df783e719d..c988a99f851 100644
--- a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
+++ b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
@@ -140,3 +140,35 @@ def test_generic_cost_per_token_above_200k_tokens():
         * usage.completion_tokens,
         10,
     )
+
+
+def test_generic_cost_per_token_anthropic_prompt_caching():
+    model = "claude-sonnet-4@20250514"
+    usage = Usage(
+        completion_tokens=90,
+        prompt_tokens=28436,
+        total_tokens=28526,
+        completion_tokens_details=CompletionTokensDetailsWrapper(
+            accepted_prediction_tokens=None,
+            audio_tokens=None,
+            reasoning_tokens=0,
+            rejected_prediction_tokens=None,
+            text_tokens=None,
+        ),
+        prompt_tokens_details=PromptTokensDetailsWrapper(
+            audio_tokens=None, cached_tokens=0, text_tokens=None, image_tokens=None
+        ),
+        cache_creation_input_tokens=118,
+        cache_read_input_tokens=28432,
+    )
+
+    custom_llm_provider = "vertex_ai"
+
+    prompt_cost, completion_cost = generic_cost_per_token(
+        model=model,
+        usage=usage,
+        custom_llm_provider=custom_llm_provider,
+    )
+
+    print(f"prompt_cost: {prompt_cost}")
+    assert prompt_cost < 0.085
diff --git a/tests/test_litellm/litellm_core_utils/test_litellm_logging.py b/tests/test_litellm/litellm_core_utils/test_litellm_logging.py
index 6687fbd0c17..be51a1cce7a 100644
--- a/tests/test_litellm/litellm_core_utils/test_litellm_logging.py
+++ b/tests/test_litellm/litellm_core_utils/test_litellm_logging.py
@@ -180,6 +180,101 @@ def test_get_request_tags():
     assert "User-Agent: litellm/0.1.0" in tags
 
 
+def test_get_extra_header_tags():
+    """Test the _get_extra_header_tags method with various scenarios."""
+    import litellm
+    from litellm.litellm_core_utils.litellm_logging import StandardLoggingPayloadSetup
+
+    # Store original value to restore later
+    original_extra_headers = getattr(litellm, "extra_spend_tag_headers", None)
+
+    try:
+        # Test case 1: No extra headers configured
+        litellm.extra_spend_tag_headers = None
+        result = StandardLoggingPayloadSetup._get_extra_header_tags(
+            proxy_server_request={"headers": {"x-custom": "value"}}
+        )
+        assert result is None
+
+        # Test case 2: Empty extra headers list
+        litellm.extra_spend_tag_headers = []
+        result = StandardLoggingPayloadSetup._get_extra_header_tags(
+            proxy_server_request={"headers": {"x-custom": "value"}}
+        )
+        assert result is None
+
+        # Test case 3: Extra headers configured but request has no headers dict
+        litellm.extra_spend_tag_headers = ["x-custom", "x-tenant"]
+        result = StandardLoggingPayloadSetup._get_extra_header_tags(
+            proxy_server_request={"headers": "not-a-dict"}
+        )
+        assert result is None
+
+        # Test case 4: Extra headers configured but none match request headers
+        litellm.extra_spend_tag_headers = ["x-custom", "x-tenant"]
+        result = StandardLoggingPayloadSetup._get_extra_header_tags(
+            proxy_server_request={
+                "headers": {
+                    "content-type": "application/json",
+                    "authorization": "Bearer token",
+                }
+            }
+        )
+        assert result is None
+
+        # Test case 5: Some extra headers match request headers
+        litellm.extra_spend_tag_headers = ["x-custom", "x-tenant", "x-missing"]
+        result = StandardLoggingPayloadSetup._get_extra_header_tags(
+            proxy_server_request={
+                "headers": {
+                    "x-custom": "my-custom-value",
+                    "x-tenant": "tenant-123",
+                    "content-type": "application/json",
+                }
+            }
+        )
+        assert result is not None
+        assert len(result) == 2
+        assert "x-custom: my-custom-value" in result
+        assert "x-tenant: tenant-123" in result
+        assert "x-missing: " not in str(result)
+
+        # Test case 6: All extra headers match request headers
+        litellm.extra_spend_tag_headers = ["x-custom", "x-tenant"]
+        result = StandardLoggingPayloadSetup._get_extra_header_tags(
+            proxy_server_request={
+                "headers": {
+                    "x-custom": "my-custom-value",
+                    "x-tenant": "tenant-123",
+                    "content-type": "application/json",
+                }
+            }
+        )
+        assert result is not None
+        assert len(result) == 2
+        assert "x-custom: my-custom-value" in result
+        assert "x-tenant: tenant-123" in result
+
+        # Test case 7: Headers with empty values should not be included
+        litellm.extra_spend_tag_headers = ["x-custom", "x-empty"]
+        result = StandardLoggingPayloadSetup._get_extra_header_tags(
+            proxy_server_request={"headers": {"x-custom": "my-value", "x-empty": ""}}
+        )
+        assert result is not None
+        assert len(result) == 1
+        assert "x-custom: my-value" in result
+        assert "x-empty:" not in str(result)
+
+    finally:
+        # Restore original value
+        if original_extra_headers is not None:
+            litellm.extra_spend_tag_headers = original_extra_headers
+        else:
+            # Remove the attribute if it didn't exist before
+            if hasattr(litellm, "extra_spend_tag_headers"):
+                delattr(litellm, "extra_spend_tag_headers")
+
+
 def test_response_cost_calculator_with_response_cost_in_hidden_params(logging_obj):
     from litellm import Router
     from litellm.litellm_core_utils.litellm_logging import Logging
diff --git a/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py b/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py
index dfc3f01d112..facb5cef3cd 100644
--- a/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py
+++ b/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py
@@ -242,3 +242,4 @@ def test_cache_read_input_tokens_retained():
 
     assert usage.cache_creation_input_tokens == 4
     assert usage.cache_read_input_tokens == 11775
+    assert usage.prompt_tokens_details.cached_tokens == 11775
diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_anthropic_experimental_pass_through_messages_handler.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_anthropic_experimental_pass_through_messages_handler.py
index 7f97d208460..653f9e8e31e 100644
--- a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_anthropic_experimental_pass_through_messages_handler.py
+++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_anthropic_experimental_pass_through_messages_handler.py
@@ -8,9 +8,6 @@ sys.path.insert(0, os.path.abspath("../../../../.."))
 
 from unittest.mock import MagicMock, patch
 
-from litellm.llms.anthropic.experimental_pass_through.adapters.streaming_iterator import (
-    AnthropicStreamWrapper,
-)
 from litellm.types.utils import Delta, ModelResponse, StreamingChoices
 
 
@@ -36,6 +33,32 @@ def test_anthropic_experimental_pass_through_messages_handler():
         mock_completion.call_args.kwargs["api_key"] == "test-api-key"
 
 
+def test_anthropic_experimental_pass_through_messages_handler_dynamic_api_key_and_api_base_and_custom_values():
+    """
+    Test that api key is passed to litellm.completion
+    """
+    from litellm.llms.anthropic.experimental_pass_through.messages.handler import (
+        anthropic_messages_handler,
+    )
+
+    with patch("litellm.completion", return_value="test-response") as mock_completion:
+        try:
+            anthropic_messages_handler(
+                max_tokens=100,
+                messages=[{"role": "user", "content": "Hello, how are you?"}],
+                model="azure/o1",
+                api_key="test-api-key",
+                api_base="test-api-base",
+                custom_key="custom_value",
+            )
+        except Exception as e:
+            print(f"Error: {e}")
+        mock_completion.assert_called_once()
+        mock_completion.call_args.kwargs["api_key"] == "test-api-key"
+        mock_completion.call_args.kwargs["api_base"] == "test-api-base"
+        mock_completion.call_args.kwargs["custom_key"] == "custom_value"
+
+
 def test_anthropic_experimental_pass_through_messages_handler_custom_llm_provider():
     """
     Test that litellm.completion is called when a custom LLM provider is given
diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_sse_wrapper.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_sse_wrapper.py
index 40c40c6ab62..dfcb9b3eb74 100644
--- a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_sse_wrapper.py
+++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_sse_wrapper.py
@@ -56,7 +56,9 @@ class MockCompletionStream:
 
 def test_anthropic_sse_wrapper_format():
     """Test that the SSE wrapper produces proper event and data formatting"""
-    wrapper = AnthropicStreamWrapper(completion_stream=MockCompletionStream())
+    wrapper = AnthropicStreamWrapper(
+        completion_stream=MockCompletionStream(), model="claude-3"
+    )
 
     # Get the first chunk from the SSE wrapper
     first_chunk = next(wrapper.anthropic_sse_wrapper())
@@ -77,7 +79,9 @@ def test_anthropic_sse_wrapper_format():
 
 def test_anthropic_sse_wrapper_event_types():
     """Test that different chunk types produce correct event types"""
-    wrapper = AnthropicStreamWrapper(completion_stream=MockCompletionStream())
+    wrapper = AnthropicStreamWrapper(
+        completion_stream=MockCompletionStream(), model="claude-3"
+    )
 
     chunks = []
     for chunk in wrapper.anthropic_sse_wrapper():
@@ -134,7 +138,9 @@ async def test_async_anthropic_sse_wrapper():
             self.index += 1
             return response
 
-    wrapper = AnthropicStreamWrapper(completion_stream=AsyncMockCompletionStream())
+    wrapper = AnthropicStreamWrapper(
+        completion_stream=AsyncMockCompletionStream(), model="claude-3"
+    )
 
     # Get the first chunk from the async SSE wrapper
     first_chunk = None
diff --git a/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py
index 67e4966f985..ec455a54176 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py
@@ -751,11 +751,11 @@ async def test_validate_team_member_add_permissions_admin():
 
     # Create admin user
     admin_user = UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN.value)
-    
+
     # Create mock team
     team = MagicMock(spec=LiteLLM_TeamTable)
     team.team_id = "test-team-123"
-    
+
     # Should not raise any exception for admin
     await _validate_team_member_add_permissions(
         user_api_key_dict=admin_user,
@@ -776,21 +776,21 @@ async def test_validate_team_member_add_permissions_non_admin():
     regular_user = UserAPIKeyAuth(
         user_id="regular-user",
         user_role=LitellmUserRoles.INTERNAL_USER.value,
-        team_id="different-team"
+        team_id="different-team",
     )
-    
+
     # Create mock team
     team = MagicMock(spec=LiteLLM_TeamTable)
     team.team_id = "test-team-123"
     team.members_with_roles = []
-    
+
     # Mock the helper functions to return False
     with patch(
         "litellm.proxy.management_endpoints.team_endpoints._is_user_team_admin",
-        return_value=False
+        return_value=False,
     ), patch(
         "litellm.proxy.management_endpoints.team_endpoints._is_available_team",
-        return_value=False
+        return_value=False,
     ):
         # Should raise HTTPException for non-admin
         with pytest.raises(HTTPException) as exc_info:
@@ -798,7 +798,7 @@ async def test_validate_team_member_add_permissions_non_admin():
                 user_api_key_dict=regular_user,
                 complete_team_data=team,
             )
-        
+
         assert exc_info.value.status_code == 403
         assert "not proxy admin OR team admin" in str(exc_info.value.detail)
 
@@ -808,30 +808,30 @@ async def test_process_team_members_single_member():
     """
     Test _process_team_members with a single member
     """
+    from litellm.proxy._types import LiteLLM_TeamMembership, LiteLLM_UserTable
     from litellm.proxy.management_endpoints.team_endpoints import _process_team_members
-    from litellm.proxy._types import LiteLLM_UserTable, LiteLLM_TeamMembership
 
     # Mock dependencies
     mock_prisma_client = MagicMock()
     mock_team = MagicMock(spec=LiteLLM_TeamTable)
     mock_team.metadata = {"team_member_budget_id": "budget-123"}
-    
+
     # Mock user and membership objects
     mock_user = MagicMock(spec=LiteLLM_UserTable)
     mock_user.user_id = "new-user-123"
     mock_membership = MagicMock(spec=LiteLLM_TeamMembership)
-    
+
     # Create request with single member
     single_member = Member(user_email="new@example.com", role="user")
     request_data = TeamMemberAddRequest(
         team_id="test-team-123",
         member=single_member,
     )
-    
+
     with patch(
         "litellm.proxy.management_endpoints.team_endpoints.add_new_member",
         new_callable=AsyncMock,
-        return_value=(mock_user, mock_membership)
+        return_value=(mock_user, mock_membership),
     ) as mock_add_member:
         users, memberships = await _process_team_members(
             data=request_data,
@@ -840,13 +840,13 @@ async def test_process_team_members_single_member():
             user_api_key_dict=UserAPIKeyAuth(),
             litellm_proxy_admin_name="admin",
         )
-        
+
         # Verify results
         assert len(users) == 1
         assert len(memberships) == 1
         assert users[0] == mock_user
         assert memberships[0] == mock_membership
-        
+
         # Verify add_new_member was called correctly
         mock_add_member.assert_called_once_with(
             new_member=single_member,
@@ -864,14 +864,14 @@ async def test_process_team_members_multiple_members():
     """
     Test _process_team_members with multiple members
     """
+    from litellm.proxy._types import LiteLLM_TeamMembership, LiteLLM_UserTable
     from litellm.proxy.management_endpoints.team_endpoints import _process_team_members
-    from litellm.proxy._types import LiteLLM_UserTable, LiteLLM_TeamMembership
 
     # Mock dependencies
     mock_prisma_client = MagicMock()
     mock_team = MagicMock(spec=LiteLLM_TeamTable)
     mock_team.metadata = None
-    
+
     # Create multiple members as dictionaries (they will be converted to Member objects)
     members = [
         {"user_email": "user1@example.com", "role": "user"},
@@ -882,15 +882,18 @@ async def test_process_team_members_multiple_members():
         member=members,
         max_budget_in_team=100.0,
     )
-    
+
     # Mock different users and memberships for each call
     mock_users = [MagicMock(spec=LiteLLM_UserTable) for _ in range(2)]
     mock_memberships = [MagicMock(spec=LiteLLM_TeamMembership) for _ in range(2)]
-    
+
     with patch(
         "litellm.proxy.management_endpoints.team_endpoints.add_new_member",
         new_callable=AsyncMock,
-        side_effect=[(mock_users[0], mock_memberships[0]), (mock_users[1], mock_memberships[1])]
+        side_effect=[
+            (mock_users[0], mock_memberships[0]),
+            (mock_users[1], mock_memberships[1]),
+        ],
     ) as mock_add_member:
         users, memberships = await _process_team_members(
             data=request_data,
@@ -899,13 +902,13 @@ async def test_process_team_members_multiple_members():
             user_api_key_dict=UserAPIKeyAuth(),
             litellm_proxy_admin_name="admin",
         )
-        
+
         # Verify results
         assert len(users) == 2
         assert len(memberships) == 2
         assert users == mock_users
         assert memberships == mock_memberships
-        
+
         # Verify add_new_member was called for each member
         assert mock_add_member.call_count == 2
 
@@ -915,33 +918,33 @@ async def test_update_team_members_list_single_member():
     """
     Test _update_team_members_list with a single member
     """
-    from litellm.proxy.management_endpoints.team_endpoints import _update_team_members_list
     from litellm.proxy._types import LiteLLM_UserTable
+    from litellm.proxy.management_endpoints.team_endpoints import (
+        _update_team_members_list,
+    )
 
     # Create mock team with existing members
     mock_team = MagicMock(spec=LiteLLM_TeamTable)
-    mock_team.members_with_roles = [
-        Member(user_id="existing-user", role="admin")
-    ]
-    
+    mock_team.members_with_roles = [Member(user_id="existing-user", role="admin")]
+
     # Create new member without user_id
     new_member = Member(user_email="new@example.com", role="user")
     request_data = TeamMemberAddRequest(
         team_id="test-team-123",
         member=new_member,
     )
-    
+
     # Create mock user with matching email
     mock_user = MagicMock(spec=LiteLLM_UserTable)
     mock_user.user_id = "new-user-123"
     mock_user.user_email = "new@example.com"
-    
+
     await _update_team_members_list(
         data=request_data,
         complete_team_data=mock_team,
         updated_users=[mock_user],
     )
-    
+
     # Verify member was added
     assert len(mock_team.members_with_roles) == 2
     added_member = mock_team.members_with_roles[1]
@@ -955,32 +958,53 @@ async def test_update_team_members_list_duplicate_prevention():
     """
     Test _update_team_members_list prevents duplicate members
     """
-    from litellm.proxy.management_endpoints.team_endpoints import _update_team_members_list
     from litellm.proxy._types import LiteLLM_UserTable
+    from litellm.proxy.management_endpoints.team_endpoints import (
+        _update_team_members_list,
+    )
 
     # Create mock team with existing members
     mock_team = MagicMock(spec=LiteLLM_TeamTable)
     mock_team.members_with_roles = [
         Member(user_id="existing-user", user_email="existing@example.com", role="admin")
     ]
-    
+
     # Try to add the same member again
     duplicate_member = Member(user_id="existing-user", role="user")
     request_data = TeamMemberAddRequest(
         team_id="test-team-123",
         member=duplicate_member,
     )
-    
+
     # Create mock user
     mock_user = MagicMock(spec=LiteLLM_UserTable)
     mock_user.user_id = "existing-user"
     mock_user.user_email = "existing@example.com"
-    
+
     await _update_team_members_list(
         data=request_data,
         complete_team_data=mock_team,
         updated_users=[mock_user],
     )
-    
+
     # Verify member was NOT added (still only 1 member)
     assert len(mock_team.members_with_roles) == 1
+
+
+def test_add_new_models_to_team_with_existing_models():
+    """
+    Test add_new_models_to_team function with existing models
+    """
+    from litellm.proxy._types import SpecialModelNames
+    from litellm.proxy.management_endpoints.team_endpoints import add_new_models_to_team
+
+    team_obj = MagicMock(spec=LiteLLM_TeamTable)
+    team_obj.models = ["model1", "model2"]
+    new_models = ["model3", "model4"]
+
+    updated_models = add_new_models_to_team(
+        team_obj=team_obj,
+        new_models=new_models,
+    )
+
+    assert updated_models.sort() == ["model1", "model2", "model3", "model4"].sort()
diff --git a/tests/test_litellm/proxy/test_proxy_server.py b/tests/test_litellm/proxy/test_proxy_server.py
index 8688d08ee49..056228ac0a9 100644
--- a/tests/test_litellm/proxy/test_proxy_server.py
+++ b/tests/test_litellm/proxy/test_proxy_server.py
@@ -320,7 +320,7 @@ async def test_get_all_team_models():
     # Mock router
     mock_router = MagicMock()
 
-    def mock_get_model_list(model_name):
+    def mock_get_model_list(model_name, team_id=None):
         if model_name == "gpt-4":
             return mock_models_gpt4
         elif model_name == "gpt-3.5-turbo":
@@ -355,10 +355,10 @@ async def test_get_all_team_models():
 
         # Verify router.get_model_list was called for each model
         expected_calls = [
-            mock.call(model_name="gpt-4"),
-            mock.call(model_name="gpt-3.5-turbo"),
-            mock.call(model_name="claude-3"),
-            mock.call(model_name="gpt-4"),  # Called again for team2
+            mock.call(model_name="gpt-4", team_id="team1"),
+            mock.call(model_name="gpt-3.5-turbo", team_id="team1"),
+            mock.call(model_name="claude-3", team_id="team2"),
+            mock.call(model_name="gpt-4", team_id="team2"),
         ]
         mock_router.get_model_list.assert_has_calls(expected_calls, any_order=True)
 
@@ -386,8 +386,8 @@ async def test_get_all_team_models():
 
         # Verify router.get_model_list was called only for team1 models
         expected_calls = [
-            mock.call(model_name="gpt-4"),
-            mock.call(model_name="gpt-3.5-turbo"),
+            mock.call(model_name="gpt-4", team_id="team1"),
+            mock.call(model_name="gpt-3.5-turbo", team_id="team1"),
         ]
         mock_router.get_model_list.assert_has_calls(expected_calls, any_order=True)
 
@@ -413,7 +413,7 @@ async def test_get_all_team_models():
     mock_router.reset_mock()
     mock_litellm_teamtable.find_many.return_value = [mock_team1]
 
-    def mock_get_model_list_with_none(model_name):
+    def mock_get_model_list_with_none(model_name, team_id=None):
         if model_name == "gpt-4":
             return mock_models_gpt4
         # Return None for gpt-3.5-turbo to test None handling
diff --git a/tests/test_litellm/test_router.py b/tests/test_litellm/test_router.py
index 6752d79224f..ee637e810b0 100644
--- a/tests/test_litellm/test_router.py
+++ b/tests/test_litellm/test_router.py
@@ -481,3 +481,124 @@ async def test_router_filter_team_based_models():
     )
 
     assert result is not None
+
+
+def test_router_should_include_deployment():
+    """
+    Test the should_include_deployment method with various scenarios
+
+    The method logic:
+    1. Returns True if: team_id matches AND model_name matches team_public_model_name
+    2. Returns True if: model_name matches AND deployment has no team_id
+    3. Otherwise returns False
+    """
+    router = litellm.Router(
+        model_list=[
+            {
+                "model_name": "gpt-3.5-turbo",
+                "litellm_params": {"model": "gpt-3.5-turbo"},
+                "model_info": {
+                    "team_id": "test-team",
+                },
+            },
+        ],
+    )
+
+    # Test deployment structures
+    deployment_with_team_and_public_name = {
+        "model_name": "gpt-3.5-turbo",
+        "model_info": {
+            "team_id": "test-team",
+            "team_public_model_name": "team-gpt-model",
+        },
+    }
+
+    deployment_with_team_no_public_name = {
+        "model_name": "gpt-3.5-turbo",
+        "model_info": {
+            "team_id": "test-team",
+        },
+    }
+
+    deployment_without_team = {
+        "model_name": "gpt-4",
+        "model_info": {},
+    }
+
+    deployment_different_team = {
+        "model_name": "claude-3",
+        "model_info": {
+            "team_id": "other-team",
+            "team_public_model_name": "team-claude-model",
+        },
+    }
+
+    # Test Case 1: Team-specific deployment - team_id and team_public_model_name match
+    result = router.should_include_deployment(
+        model_name="team-gpt-model",
+        model=deployment_with_team_and_public_name,
+        team_id="test-team",
+    )
+    assert (
+        result is True
+    ), "Should return True when team_id and team_public_model_name match"
+
+    # Test Case 2: Team-specific deployment - team_id matches but model_name doesn't match team_public_model_name
+    result = router.should_include_deployment(
+        model_name="different-model",
+        model=deployment_with_team_and_public_name,
+        team_id="test-team",
+    )
+    assert (
+        result is False
+    ), "Should return False when team_id matches but model_name doesn't match team_public_model_name"
+
+    # Test Case 3: Team-specific deployment - team_id doesn't match
+    result = router.should_include_deployment(
+        model_name="team-gpt-model",
+        model=deployment_with_team_and_public_name,
+        team_id="different-team",
+    )
+    assert result is False, "Should return False when team_id doesn't match"
+
+    # Test Case 4: Team-specific deployment with no team_public_model_name - should fail
+    result = router.should_include_deployment(
+        model_name="gpt-3.5-turbo",
+        model=deployment_with_team_no_public_name,
+        team_id="test-team",
+    )
+    assert (
+        result is True
+    ), "Should return True when team deployment has no team_public_model_name to match"
+
+    # Test Case 5: Non-team deployment - model_name matches and no team_id
+    result = router.should_include_deployment(
+        model_name="gpt-4", model=deployment_without_team, team_id=None
+    )
+    assert (
+        result is True
+    ), "Should return True when model_name matches and deployment has no team_id"
+
+    # Test Case 6: Non-team deployment - model_name matches but team_id provided (should still work)
+    result = router.should_include_deployment(
+        model_name="gpt-4", model=deployment_without_team, team_id="any-team"
+    )
+    assert (
+        result is True
+    ), "Should return True when model_name matches non-team deployment, regardless of team_id param"
+
+    # Test Case 7: Non-team deployment - model_name doesn't match
+    result = router.should_include_deployment(
+        model_name="different-model", model=deployment_without_team, team_id=None
+    )
+    assert result is False, "Should return False when model_name doesn't match"
+
+    # Test Case 8: Team deployment accessed without matching team_id
+    result = router.should_include_deployment(
+        model_name="gpt-3.5-turbo",
+        model=deployment_with_team_and_public_name,
+        team_id=None,
+    )
+    assert (
+        result is True
+    ), "Should return True when matching model with exact model_name"
diff --git a/ui/litellm-dashboard/src/components/networking.tsx b/ui/litellm-dashboard/src/components/networking.tsx
index 085fe5cfe9b..21c2ea02ef8 100644
--- a/ui/litellm-dashboard/src/components/networking.tsx
+++ b/ui/litellm-dashboard/src/components/networking.tsx
@@ -19,7 +19,7 @@ import {
 } from "./email_events/types";
 
 const isLocal = process.env.NODE_ENV === "development";
-export const defaultProxyBaseUrl = isLocal ? "http://localhost:43845" : null;
+export const defaultProxyBaseUrl = isLocal ? "http://localhost:4000" : null;
 const defaultServerRootPath = "/";
 export let serverRootPath = defaultServerRootPath;
 export let proxyBaseUrl = defaultProxyBaseUrl;
diff --git a/ui/litellm-dashboard/src/components/team/team_member_view.tsx b/ui/litellm-dashboard/src/components/team/team_member_view.tsx
index e435411aa7a..5699edb3e12 100644
--- a/ui/litellm-dashboard/src/components/team/team_member_view.tsx
+++ b/ui/litellm-dashboard/src/components/team/team_member_view.tsx
@@ -67,7 +67,11 @@ const TeamMembersComponent: React.FC<TeamMembersComponentProps> = ({
     if (!userId) return null;
     const membership = teamData.team_memberships.find(tm => tm.user_id === userId);
     console.log(`membership=${membership}`);
-    return formatNumber(membership?.litellm_budget_table?.max_budget || null);
+    const maxBudget = membership?.litellm_budget_table?.max_budget;
+    if (maxBudget === null || maxBudget === undefined) {
+      return null;
+    }
+    return formatNumber(maxBudget);
   };
 
   return (