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Fix tag management to preserve encrypted fields in litellm_params (#17484)
The _add_tag_to_deployment function was directly modifying the deployment's litellm_params in memory and writing it back to the database, which caused encrypted API keys and other sensitive fields to be lost. This fix retrieves the model from the database first, preserves all existing fields including encrypted ones, adds only the new tag to the tags array, and updates the database with the modified params while keeping encrypted fields intact. Added comprehensive unit tests covering preservation of encrypted fields, handling of both string and dict litellm_params formats, duplicate tag prevention, and error handling for missing models. Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude <noreply@anthropic.com>
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Claude
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@@ -201,15 +201,36 @@ async def _add_tag_to_deployment(deployment: "Deployment", tag: str):
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if prisma_client is None:
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raise HTTPException(status_code=500, detail="Database not connected")
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litellm_params = deployment.litellm_params
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if "tags" not in litellm_params:
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litellm_params["tags"] = []
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litellm_params["tags"].append(tag)
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try:
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# Get current model from database to preserve encrypted fields
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db_model = await prisma_client.db.litellm_proxymodeltable.find_unique(
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where={"model_id": deployment.model_info.id}
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)
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if db_model is None:
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raise HTTPException(
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status_code=404,
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detail=f"Model {deployment.model_info.id} not found in database"
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)
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# Prisma returns litellm_params as dict (already parsed from JSON)
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existing_params = db_model.litellm_params
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if isinstance(existing_params, str):
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# If it's a string, parse it
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existing_params = json.loads(existing_params)
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elif not isinstance(existing_params, dict):
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raise Exception(f"Unexpected litellm_params type: {type(existing_params)}")
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# Add tag to tags array (preserve encryption of other fields)
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if "tags" not in existing_params:
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existing_params["tags"] = []
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if tag not in existing_params["tags"]:
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existing_params["tags"].append(tag)
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# Update database with modified params (keeps encrypted fields encrypted)
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await prisma_client.db.litellm_proxymodeltable.update(
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where={"model_id": deployment.model_info.id},
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data={"litellm_params": safe_dumps(litellm_params)},
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data={"litellm_params": json.dumps(existing_params)},
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)
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except Exception as e:
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verbose_proxy_logger.exception(f"Error adding tag to deployment: {str(e)}")
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@@ -4,6 +4,7 @@ import sys
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from typing import Any, Dict, Optional
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import pytest
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from fastapi import HTTPException
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from fastapi.testclient import TestClient
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sys.path.insert(
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@@ -331,3 +332,207 @@ async def test_get_deployments_by_model_not_found():
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assert result == []
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mock_router.get_deployment.assert_called_once_with(model_id="nonexistent-model")
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mock_router.get_model_list.assert_called_once_with(model_name="nonexistent-model")
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@pytest.mark.asyncio
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async def test_add_tag_to_deployment_preserves_encrypted_fields():
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"""
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Test that _add_tag_to_deployment preserves encrypted fields when adding tags
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"""
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from unittest.mock import AsyncMock, Mock
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from litellm.proxy.management_endpoints.tag_management_endpoints import (
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_add_tag_to_deployment,
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)
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from litellm.types.router import Deployment, LiteLLM_Params, ModelInfo
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with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma:
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# Setup prisma mocks
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mock_db = Mock()
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mock_prisma.db = mock_db
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# Mock the database model with encrypted fields
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db_model = Mock()
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db_model.model_id = "model-123"
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db_model.litellm_params = {
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"model": "gpt-3.5-turbo",
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"api_key": "encrypted_api_key_value", # This should be preserved
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"api_base": "https://api.openai.com",
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"other_encrypted_field": "encrypted_value",
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}
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# Mock find_unique to return the db model
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mock_db.litellm_proxymodeltable.find_unique = AsyncMock(return_value=db_model)
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# Mock update
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mock_db.litellm_proxymodeltable.update = AsyncMock(return_value=db_model)
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# Create deployment
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deployment = Deployment(
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model_name="gpt-3.5-turbo",
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litellm_params=LiteLLM_Params(model="gpt-3.5-turbo"),
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model_info=ModelInfo(id="model-123"),
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)
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# Call the function
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await _add_tag_to_deployment(deployment, "test-tag")
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# Verify find_unique was called
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mock_db.litellm_proxymodeltable.find_unique.assert_called_once_with(
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where={"model_id": "model-123"}
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)
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# Verify update was called with preserved encrypted fields
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update_call = mock_db.litellm_proxymodeltable.update.call_args
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assert update_call[1]["where"] == {"model_id": "model-123"}
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# Parse the updated litellm_params
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updated_params = json.loads(update_call[1]["data"]["litellm_params"])
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# Verify tag was added
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assert "tags" in updated_params
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assert "test-tag" in updated_params["tags"]
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# Verify encrypted fields were preserved
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assert updated_params["api_key"] == "encrypted_api_key_value"
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assert updated_params["other_encrypted_field"] == "encrypted_value"
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assert updated_params["model"] == "gpt-3.5-turbo"
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assert updated_params["api_base"] == "https://api.openai.com"
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@pytest.mark.asyncio
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async def test_add_tag_to_deployment_with_string_params():
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"""
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Test that _add_tag_to_deployment handles string litellm_params correctly
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"""
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from unittest.mock import AsyncMock, Mock
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from litellm.proxy.management_endpoints.tag_management_endpoints import (
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_add_tag_to_deployment,
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)
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from litellm.types.router import Deployment, LiteLLM_Params, ModelInfo
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with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma:
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# Setup prisma mocks
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mock_db = Mock()
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mock_prisma.db = mock_db
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# Mock the database model with litellm_params as string
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db_model = Mock()
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db_model.model_id = "model-456"
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db_model.litellm_params = json.dumps({
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"model": "claude-3",
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"api_key": "encrypted_claude_key",
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})
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# Mock find_unique to return the db model
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mock_db.litellm_proxymodeltable.find_unique = AsyncMock(return_value=db_model)
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# Mock update
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mock_db.litellm_proxymodeltable.update = AsyncMock(return_value=db_model)
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# Create deployment
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deployment = Deployment(
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model_name="claude-3",
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litellm_params=LiteLLM_Params(model="claude-3"),
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model_info=ModelInfo(id="model-456"),
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)
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# Call the function
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await _add_tag_to_deployment(deployment, "test-tag-2")
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# Verify update was called
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update_call = mock_db.litellm_proxymodeltable.update.call_args
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updated_params = json.loads(update_call[1]["data"]["litellm_params"])
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# Verify tag was added and encrypted field preserved
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assert "tags" in updated_params
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assert "test-tag-2" in updated_params["tags"]
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assert updated_params["api_key"] == "encrypted_claude_key"
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@pytest.mark.asyncio
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async def test_add_tag_to_deployment_no_duplicate_tags():
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"""
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Test that _add_tag_to_deployment doesn't add duplicate tags
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"""
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from unittest.mock import AsyncMock, Mock
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from litellm.proxy.management_endpoints.tag_management_endpoints import (
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_add_tag_to_deployment,
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)
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from litellm.types.router import Deployment, LiteLLM_Params, ModelInfo
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with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma:
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# Setup prisma mocks
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mock_db = Mock()
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mock_prisma.db = mock_db
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# Mock the database model with existing tags
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db_model = Mock()
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db_model.model_id = "model-789"
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db_model.litellm_params = {
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"model": "gpt-4",
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"api_key": "encrypted_key",
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"tags": ["existing-tag", "another-tag"],
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}
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# Mock find_unique to return the db model
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mock_db.litellm_proxymodeltable.find_unique = AsyncMock(return_value=db_model)
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# Mock update
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mock_db.litellm_proxymodeltable.update = AsyncMock(return_value=db_model)
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# Create deployment
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deployment = Deployment(
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model_name="gpt-4",
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litellm_params=LiteLLM_Params(model="gpt-4"),
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model_info=ModelInfo(id="model-789"),
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)
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# Try to add an existing tag
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await _add_tag_to_deployment(deployment, "existing-tag")
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# Verify update was called
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update_call = mock_db.litellm_proxymodeltable.update.call_args
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updated_params = json.loads(update_call[1]["data"]["litellm_params"])
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# Verify no duplicate tags
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assert updated_params["tags"].count("existing-tag") == 1
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assert len(updated_params["tags"]) == 2
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assert "another-tag" in updated_params["tags"]
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@pytest.mark.asyncio
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async def test_add_tag_to_deployment_model_not_found():
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"""
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Test that _add_tag_to_deployment raises HTTPException when model not found
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"""
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from unittest.mock import AsyncMock, Mock
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from litellm.proxy.management_endpoints.tag_management_endpoints import (
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_add_tag_to_deployment,
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)
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from litellm.types.router import Deployment, LiteLLM_Params, ModelInfo
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with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma:
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# Setup prisma mocks
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mock_db = Mock()
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mock_prisma.db = mock_db
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# Mock find_unique to return None (model not found)
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mock_db.litellm_proxymodeltable.find_unique = AsyncMock(return_value=None)
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# Create deployment
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deployment = Deployment(
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model_name="nonexistent-model",
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litellm_params=LiteLLM_Params(model="nonexistent-model"),
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model_info=ModelInfo(id="model-999"),
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)
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# Call should raise HTTPException (wrapped as 500 by the exception handler)
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with pytest.raises(HTTPException) as exc_info:
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await _add_tag_to_deployment(deployment, "test-tag")
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assert exc_info.value.status_code == 500
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assert "not found in database" in str(exc_info.value.detail)
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