LiteLLM Minor Fixes & Improvement (11/14/2024) (#6730)

* fix(ollama.py): fix get model info request

Fixes https://github.com/BerriAI/litellm/issues/6703

* feat(anthropic/chat/transformation.py): support passing user id to anthropic via openai 'user' param

* docs(anthropic.md): document all supported openai params for anthropic

* test: fix tests

* fix: fix tests

* feat(jina_ai/): add rerank support

Closes https://github.com/BerriAI/litellm/issues/6691

* test: handle service unavailable error

* fix(handler.py): refactor together ai rerank call

* test: update test to handle overloaded error

* test: fix test

* Litellm router trace (#6742)

* feat(router.py): add trace_id to parent functions - allows tracking retry/fallbacks

* feat(router.py): log trace id across retry/fallback logic

allows grouping llm logs for the same request

* test: fix tests

* fix: fix test

* fix(transformation.py): only set non-none stop_sequences

* Litellm router disable fallbacks (#6743)

* bump: version 1.52.6 → 1.52.7

* feat(router.py): enable dynamically disabling fallbacks

Allows for enabling/disabling fallbacks per key

* feat(litellm_pre_call_utils.py): support setting 'disable_fallbacks' on litellm key

* test: fix test

* fix(exception_mapping_utils.py): map 'model is overloaded' to internal server error

* test: handle gemini error

* test: fix test

* fix: new run

tests/local_testing/test_router_fallbacks.py

@@ -1455,3 +1455,46 @@ async def test_router_fallbacks_default_and_model_specific_fallbacks(sync_mode):
     assert isinstance(
         exc_info.value, litellm.AuthenticationError
     ), f"Expected AuthenticationError, but got {type(exc_info.value).__name__}"
+
+
+@pytest.mark.asyncio
+async def test_router_disable_fallbacks_dynamically():
+    from litellm.router import run_async_fallback
+
+    router = Router(
+        model_list=[
+            {
+                "model_name": "bad-model",
+                "litellm_params": {
+                    "model": "openai/my-bad-model",
+                    "api_key": "my-bad-api-key",
+                },
+            },
+            {
+                "model_name": "good-model",
+                "litellm_params": {
+                    "model": "gpt-4o",
+                    "api_key": os.getenv("OPENAI_API_KEY"),
+                },
+            },
+        ],
+        fallbacks=[{"bad-model": ["good-model"]}],
+        default_fallbacks=["good-model"],
+    )
+
+    with patch.object(
+        router,
+        "log_retry",
+        new=MagicMock(return_value=None),
+    ) as mock_client:
+        try:
+            resp = await router.acompletion(
+                model="bad-model",
+                messages=[{"role": "user", "content": "Hey, how's it going?"}],
+                disable_fallbacks=True,
+            )
+            print(resp)
+        except Exception as e:
+            print(e)
+
+        mock_client.assert_not_called()