Merge pull request #234 from bsatapat-jpg/dev_vers

[LEADS-369] Updating litellm version to 1.83.7

Author: asamal4

lsc_agent_eval/pyproject.toml

@@ -14,7 +14,7 @@ dependencies = [
     "httpx>=0.27.2,<=0.28.1",
     "tqdm>=4.67.1,<=4.67.3",
     "pyyaml>=6.0,<=6.0.3",
-    "litellm>=1.0.0,<=1.82.6",
+    "litellm>=1.83.7,<=1.83.14",
 ]
 
 [dependency-groups]

lsc_agent_eval/requirements.txt

@@ -26,7 +26,7 @@ certifi==2026.2.25
     #   requests
 charset-normalizer==3.4.6
     # via requests
-click==8.3.1
+click==8.1.8
     # via
     #   litellm
     #   typer
@@ -66,17 +66,17 @@ idna==3.11
     #   httpx
     #   requests
     #   yarl
-importlib-metadata==9.0.0
+importlib-metadata==8.5.0
     # via litellm
 jinja2==3.1.6
     # via litellm
 jiter==0.13.0
     # via openai
-jsonschema==4.26.0
+jsonschema==4.23.0
     # via litellm
 jsonschema-specifications==2025.9.1
     # via jsonschema
-litellm==1.82.6
+litellm==1.83.14
     # via lsc-agent-eval
 markdown-it-py==4.0.0
     # via rich
@@ -90,7 +90,7 @@ multidict==6.7.1
     #   yarl
 numpy==2.4.4
     # via pandas
-openai==2.30.0
+openai==2.24.0
     # via litellm
 packaging==26.0
     # via huggingface-hub
@@ -145,7 +145,7 @@ tqdm==4.67.3
     #   huggingface-hub
     #   lsc-agent-eval
     #   openai
-typer==0.24.1
+typer==0.23.1
     # via huggingface-hub
 typing-extensions==4.15.0
     # via

lsc_agent_eval/uv.lock

@@ -10,8 +10,8 @@ license = {text = "Apache"}
 dependencies = [
     "ragas>=0.4.0,<=0.4.3",
     "deepeval>=3.9.0,<=3.9.1",
-    "litellm>=1.80.0,<=1.82.4",
-    "pydantic>=2.10.0,<=2.11.7",
+    "litellm>=1.83.7,<=1.83.14",
+    "pydantic>=2.10.0,<=2.12.5",
     "pyyaml>=6.0,<=6.0.2",
     "pandas>=2.2.0,<=2.3.2",
     "datasets>=3.0.0,<=4.0.0",
@@ -112,7 +112,6 @@ packages = ["src/lightspeed_evaluation"]
 
 # UV configuration for CPU-only PyTorch (reduces package size from ~6GB to ~2GB)
 [tool.uv]
-
 [[tool.uv.index]]
 name = "pytorch-cpu"
 url = "https://download.pytorch.org/whl/cpu"