diff --git a/litellm/litellm_core_utils/prompt_templates/factory.py b/litellm/litellm_core_utils/prompt_templates/factory.py
index a694cec7d66..5e905da2230 100644
--- a/litellm/litellm_core_utils/prompt_templates/factory.py
+++ b/litellm/litellm_core_utils/prompt_templates/factory.py
@@ -2221,6 +2221,11 @@ def sanitize_messages_for_tool_calling(
     Case C: Empty text content
     - Replace empty or whitespace-only text content with a placeholder message.
     
+    Case D: Duplicate tool_result for same tool_use (duplicate results)
+    - If multiple tool messages reference the same tool_call_id, keep only the last
+      occurrence. Anthropic requires exactly one tool_result per tool_use and rejects
+      with: "each tool_use must have a single result".
+    
     This function operates on OpenAI format messages before they are converted to
     provider-specific formats.
     """
@@ -2256,6 +2261,49 @@ def sanitize_messages_for_tool_calling(
         sanitized_messages.append(current_message)
         i += 1
     
+    # Case D: Deduplicate tool results with the same tool_call_id.
+    # Anthropic requires exactly one tool_result per tool_use. Session history
+    # (e.g. from conversation resume) can contain duplicate tool_result messages
+    # for the same tool_call_id. Keep only the last occurrence *within each
+    # contiguous block of tool results following an assistant message*. This
+    # avoids dropping results from earlier turns if a tool_call_id is reused.
+    #
+    # NOTE: This intentionally keeps the *last* occurrence (most complete for
+    # session-resume duplicates), unlike _deduplicate_bedrock_content_blocks
+    # which keeps the *first*. The Bedrock case handles provider-side content
+    # block duplication where the first is authoritative; here the duplicate
+    # arises from history replay where the last entry is the final state.
+    duplicates_to_remove: Set[int] = set()
+    seen_in_block: Dict[str, int] = {}  # tool_call_id -> index (reset per block)
+    for idx, msg in enumerate(sanitized_messages):
+        role = msg.get("role")
+        tcid = msg.get("tool_call_id") if role in ["tool", "function"] else None
+        if tcid:
+            if tcid in seen_in_block:
+                # Mark the earlier occurrence for removal (keep latest)
+                duplicates_to_remove.add(seen_in_block[tcid])
+                verbose_logger.warning(
+                    "sanitize_messages_for_tool_calling: dropping duplicate "
+                    "tool_result with tool_call_id=%s. This may indicate "
+                    "duplicate tool messages in conversation history.",
+                    tcid,
+                )
+            seen_in_block[tcid] = idx
+        elif role not in ("tool", "function"):
+            # Non-tool message (user, assistant, system) marks a
+            # conversational-turn boundary — reset tracking.
+            # Tool/function messages with no tool_call_id are malformed;
+            # they should NOT reset the block because they don't represent
+            # a turn boundary and would mask real within-block duplicates.
+            seen_in_block = {}
+
+    if duplicates_to_remove:
+        sanitized_messages = [
+            msg
+            for idx, msg in enumerate(sanitized_messages)
+            if idx not in duplicates_to_remove
+        ]
+
     return sanitized_messages
 
 
diff --git a/tests/test_litellm/litellm_core_utils/prompt_templates/test_litellm_core_utils_prompt_templates_factory.py b/tests/test_litellm/litellm_core_utils/prompt_templates/test_litellm_core_utils_prompt_templates_factory.py
index 707b5bdc777..8d68539564c 100644
--- a/tests/test_litellm/litellm_core_utils/prompt_templates/test_litellm_core_utils_prompt_templates_factory.py
+++ b/tests/test_litellm/litellm_core_utils/prompt_templates/test_litellm_core_utils_prompt_templates_factory.py
@@ -10,6 +10,7 @@ from litellm.litellm_core_utils.prompt_templates.factory import (
     BedrockImageProcessor,
     _convert_to_bedrock_tool_call_invoke,
     ollama_pt,
+    sanitize_messages_for_tool_calling,
 )
 
 
@@ -1179,7 +1180,7 @@ def test_bedrock_tools_pt_does_not_handle_system_tool():
     System tools (nova_grounding) should be added via web_search_options,
     not via the tools parameter directly.
     """
-    
+
     from litellm.litellm_core_utils.prompt_templates.factory import _bedrock_tools_pt
 
     # Regular function tools should still work
@@ -1741,3 +1742,288 @@ def test_bedrock_tool_call_invoke_multiple_normal_tools():
     assert len(result) == 2
     assert result[0]["toolUse"]["toolUseId"] == "call_1"
     assert result[1]["toolUse"]["toolUseId"] == "call_2"
+
+
+# ========================================================================
+# Tool result deduplication tests (Case D in sanitize_messages_for_tool_calling)
+# ========================================================================
+
+
+def test_sanitize_messages_deduplicates_tool_results():
+    """
+    Anthropic requires exactly one tool_result per tool_use. When conversation
+    history (e.g. from session resume) contains duplicate tool result messages
+    with the same tool_call_id, sanitize_messages_for_tool_calling should keep
+    only the last occurrence.
+
+    Without this fix, Anthropic rejects with:
+        each tool_use must have a single result. Found multiple tool_result
+        blocks with id: <id>
+    """
+    original = litellm.modify_params
+    litellm.modify_params = True
+    try:
+        messages = [
+            {"role": "user", "content": "What's the weather?"},
+            {
+                "role": "assistant",
+                "content": None,
+                "tool_calls": [
+                    {
+                        "id": "call_abc123",
+                        "type": "function",
+                        "function": {
+                            "name": "get_weather",
+                            "arguments": '{"city": "NYC"}',
+                        },
+                    }
+                ],
+            },
+            # First tool result (stale/duplicate)
+            {
+                "role": "tool",
+                "tool_call_id": "call_abc123",
+                "content": "Partial result...",
+            },
+            # Second tool result (final/complete — should be kept)
+            {
+                "role": "tool",
+                "tool_call_id": "call_abc123",
+                "content": '{"temperature": 72, "condition": "sunny"}',
+            },
+        ]
+
+        result = sanitize_messages_for_tool_calling(messages)
+
+        # Count tool messages with this ID — should be exactly 1
+        tool_results = [
+            m for m in result if m.get("role") == "tool" and m.get("tool_call_id") == "call_abc123"
+        ]
+        assert len(tool_results) == 1
+        # Should keep the LAST occurrence (most complete)
+        assert tool_results[0]["content"] == '{"temperature": 72, "condition": "sunny"}'
+    finally:
+        litellm.modify_params = original
+
+
+def test_sanitize_messages_preserves_unique_tool_results():
+    """
+    When each tool_call_id has exactly one tool_result, no deduplication should
+    occur. Messages should pass through unchanged.
+    """
+    original = litellm.modify_params
+    litellm.modify_params = True
+    try:
+        messages = [
+            {"role": "user", "content": "Get weather for two cities"},
+            {
+                "role": "assistant",
+                "content": None,
+                "tool_calls": [
+                    {
+                        "id": "call_1",
+                        "type": "function",
+                        "function": {
+                            "name": "get_weather",
+                            "arguments": '{"city": "NYC"}',
+                        },
+                    },
+                    {
+                        "id": "call_2",
+                        "type": "function",
+                        "function": {
+                            "name": "get_weather",
+                            "arguments": '{"city": "LA"}',
+                        },
+                    },
+                ],
+            },
+            {"role": "tool", "tool_call_id": "call_1", "content": "72F"},
+            {"role": "tool", "tool_call_id": "call_2", "content": "85F"},
+        ]
+
+        result = sanitize_messages_for_tool_calling(messages)
+
+        tool_results = [m for m in result if m.get("role") == "tool"]
+        assert len(tool_results) == 2
+        assert tool_results[0]["tool_call_id"] == "call_1"
+        assert tool_results[0]["content"] == "72F"
+        assert tool_results[1]["tool_call_id"] == "call_2"
+        assert tool_results[1]["content"] == "85F"
+    finally:
+        litellm.modify_params = original
+
+
+def test_sanitize_messages_dedup_disabled_when_modify_params_false():
+    """
+    When litellm.modify_params is False, messages should be returned as-is
+    even if they contain duplicate tool results.
+    """
+    original = litellm.modify_params
+    litellm.modify_params = False
+    try:
+        messages = [
+            {"role": "user", "content": "Test"},
+            {
+                "role": "assistant",
+                "content": None,
+                "tool_calls": [
+                    {
+                        "id": "call_dup",
+                        "type": "function",
+                        "function": {"name": "test", "arguments": "{}"},
+                    }
+                ],
+            },
+            {"role": "tool", "tool_call_id": "call_dup", "content": "first"},
+            {"role": "tool", "tool_call_id": "call_dup", "content": "second"},
+        ]
+
+        result = sanitize_messages_for_tool_calling(messages)
+
+        # Should be unchanged — no sanitization when modify_params=False
+        assert result == messages
+    finally:
+        litellm.modify_params = original
+
+
+def test_sanitize_messages_dedup_scoped_per_turn_preserves_cross_turn():
+    """
+    When the same tool_call_id appears in two different assistant turns
+    (separated by a user message), both tool results must be preserved.
+    Deduplication should only apply within a single contiguous tool-result
+    block, not globally across the conversation.
+
+    Without per-turn scoping this would incorrectly drop the first tool result,
+    leaving the first assistant message without its required result (which
+    Anthropic would reject).
+    """
+    original = litellm.modify_params
+    litellm.modify_params = True
+    try:
+        messages = [
+            {"role": "user", "content": "First question"},
+            {
+                "role": "assistant",
+                "content": None,
+                "tool_calls": [
+                    {
+                        "id": "call_X",
+                        "type": "function",
+                        "function": {"name": "lookup", "arguments": '{"q": "a"}'},
+                    }
+                ],
+            },
+            {"role": "tool", "tool_call_id": "call_X", "content": "result_turn_1"},
+            {"role": "user", "content": "Second question"},
+            {
+                "role": "assistant",
+                "content": None,
+                "tool_calls": [
+                    {
+                        "id": "call_X",
+                        "type": "function",
+                        "function": {"name": "lookup", "arguments": '{"q": "b"}'},
+                    }
+                ],
+            },
+            {"role": "tool", "tool_call_id": "call_X", "content": "result_turn_2"},
+        ]
+
+        result = sanitize_messages_for_tool_calling(messages)
+
+        # Both tool results must survive — one per turn
+        tool_results = [
+            m for m in result
+            if m.get("role") == "tool" and m.get("tool_call_id") == "call_X"
+        ]
+        assert len(tool_results) == 2, (
+            f"Expected 2 tool results (one per turn), got {len(tool_results)}. "
+            "Dedup may be global instead of per-turn scoped."
+        )
+        assert tool_results[0]["content"] == "result_turn_1"
+        assert tool_results[1]["content"] == "result_turn_2"
+    finally:
+        litellm.modify_params = original
+
+
+def test_sanitize_messages_combined_case_a_and_case_d():
+    """
+    Combined Case A + Case D: an assistant message has two tool_calls —
+    one with a missing result (Case A should inject a dummy) and one with
+    duplicate results (Case D should deduplicate to keep only the last).
+
+    This validates that both sanitization passes compose correctly without
+    interfering with each other.
+    """
+    original = litellm.modify_params
+    litellm.modify_params = True
+    try:
+        messages = [
+            {"role": "user", "content": "Do two things"},
+            {
+                "role": "assistant",
+                "content": None,
+                "tool_calls": [
+                    {
+                        "id": "call_missing",
+                        "type": "function",
+                        "function": {"name": "tool_a", "arguments": "{}"},
+                    },
+                    {
+                        "id": "call_duped",
+                        "type": "function",
+                        "function": {"name": "tool_b", "arguments": '{"q": "x"}'},
+                    },
+                ],
+            },
+            # No result for call_missing — Case A should inject a dummy
+            # Duplicate results for call_duped — Case D should keep last
+            {"role": "tool", "tool_call_id": "call_duped", "content": "stale_result"},
+            {"role": "tool", "tool_call_id": "call_duped", "content": "fresh_result"},
+            {"role": "user", "content": "Now summarize"},
+        ]
+
+        result = sanitize_messages_for_tool_calling(messages)
+
+        # Collect tool results from the output
+        tool_results = [m for m in result if m.get("role") in ("tool", "function")]
+
+        # Case A: call_missing should have a dummy result injected
+        missing_results = [
+            m for m in tool_results if m.get("tool_call_id") == "call_missing"
+        ]
+        assert len(missing_results) == 1, (
+            f"Expected 1 dummy result for call_missing (Case A), got {len(missing_results)}"
+        )
+
+        # Case D: call_duped should have exactly 1 result (the fresh one)
+        duped_results = [
+            m for m in tool_results if m.get("tool_call_id") == "call_duped"
+        ]
+        assert len(duped_results) == 1, (
+            f"Expected 1 result for call_duped after dedup (Case D), got {len(duped_results)}"
+        )
+        assert duped_results[0]["content"] == "fresh_result", (
+            f"Expected last-wins 'fresh_result', got '{duped_results[0]['content']}'"
+        )
+
+        # Verify tool results immediately follow the assistant message
+        asst_idx = next(
+            i for i, m in enumerate(result) if m.get("role") == "assistant"
+        )
+        tool_msgs_after_asst = [
+            m
+            for m in result[asst_idx + 1 :]
+            if m.get("role") in ("tool", "function")
+        ]
+        assert len(tool_msgs_after_asst) == 2, (
+            f"Expected 2 tool results after assistant, got {len(tool_msgs_after_asst)}"
+        )
+        # Both tool_call_ids should be present (order may vary)
+        tool_ids = {m["tool_call_id"] for m in tool_msgs_after_asst}
+        assert tool_ids == {"call_missing", "call_duped"}, (
+            f"Expected tool_call_ids {{call_missing, call_duped}}, got {tool_ids}"
+        )
+    finally:
+        litellm.modify_params = original