fix: correct amazon.titan-embed-text-v2 input price to $0.02/1M tokens (#29693)

* fix: correct amazon.titan-embed-text-v2 input price to $0.02/1M tokens

* test: scope local cost map env var with monkeypatch to avoid test pollution

litellm/model_prices_and_context_window_backup.json

@@ -571,7 +571,7 @@
         "output_vector_size": 1536
     },
     "amazon.titan-embed-text-v2:0": {
-        "input_cost_per_token": 2e-07,
+        "input_cost_per_token": 2e-08,
         "litellm_provider": "bedrock",
         "max_input_tokens": 8192,
         "max_tokens": 8192,

model_prices_and_context_window.json

@@ -571,7 +571,7 @@
         "output_vector_size": 1536
     },
     "amazon.titan-embed-text-v2:0": {
-        "input_cost_per_token": 2e-07,
+        "input_cost_per_token": 2e-08,
         "litellm_provider": "bedrock",
         "max_input_tokens": 8192,
         "max_tokens": 8192,

tests/llm_translation/test_bedrock_embedding_pricing.py

@@ -0,0 +1,34 @@
+"""
+Tests for AWS Bedrock embedding model pricing in the model cost map.
+
+Regression test for the Amazon Titan Text Embeddings V2 commercial price,
+which was previously set 10x too high (2e-07 instead of 2e-08).
+AWS lists Titan Text Embeddings V2 at $0.02 per 1M input tokens
+(= $0.00002 per 1K tokens = 2e-08 per token).
+"""
+
+import importlib
+
+
+class TestBedrockEmbeddingPricing:
+    """Test suite for Bedrock embedding model pricing in the cost map."""
+
+    def test_titan_embed_v2_commercial_input_cost(self, monkeypatch):
+        """Titan Text Embeddings V2 should be priced at $0.02 / 1M tokens (2e-08)."""
+        # Scope the local-cost-map flag to this test only, so it does not leak
+        # into sibling tests. monkeypatch restores the environment on teardown.
+        monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True")
+
+        import litellm.litellm_core_utils.get_model_cost_map
+        import litellm
+
+        # Reload so the cost map is re-read from the local file with the flag set.
+        importlib.reload(litellm.litellm_core_utils.get_model_cost_map)
+        importlib.reload(litellm)
+
+        model = litellm.model_cost["amazon.titan-embed-text-v2:0"]
+
+        assert model["input_cost_per_token"] == 2e-08
+        assert model["output_cost_per_token"] == 0.0
+        assert model["litellm_provider"] == "bedrock"
+        assert model["mode"] == "embedding"