From 1fb7a26184beb0b6975a0832a546f54f3e19cc8c Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Tue, 22 Sep 2026 20:47:00 +0000
Subject: [PATCH] test(integration): bedrock hidden thinking tokens are not
 reported as text tokens (Pylon #7067)

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 .../test_bedrock_thinking_tokens_wire.py      | 94 +++++++++++++++++++
 1 file changed, 94 insertions(+)
 create mode 100644 tests/integration/providers/test_bedrock_thinking_tokens_wire.py

diff --git a/tests/integration/providers/test_bedrock_thinking_tokens_wire.py b/tests/integration/providers/test_bedrock_thinking_tokens_wire.py
new file mode 100644
index 00000000000..074adeb41f6
--- /dev/null
+++ b/tests/integration/providers/test_bedrock_thinking_tokens_wire.py
@@ -0,0 +1,94 @@
+import json
+from typing import Final
+
+import pytest
+from integration._support.client import Gateway
+from integration._support.wire import Reply, Request, wire_server
+from pydantic import JsonValue, TypeAdapter
+
+MODEL: Final = "bedrock/converse/global.anthropic.claude-opus-4-8"
+TOKEN: Final = "synthetic-bedrock-bearer"
+PROMPT: Final = "How many prime numbers are less than 30? Think it through, then answer with just the number."
+RESPONSES_PROMPT: Final = "How many prime numbers are less than 30? Answer with just the number."
+REDACTED_DATA: Final = "RWRhY3RlZC1ieS1CZWRyb2Nr"
+INPUT_TOKENS: Final = 31
+OUTPUT_TOKENS: Final = 257
+RESPONSE: Final = json.dumps(
+    {
+        "output": {
+            "message": {
+                "role": "assistant",
+                "content": [{"reasoningContent": {"redactedContent": REDACTED_DATA}}, {"text": "10"}],
+            }
+        },
+        "stopReason": "end_turn",
+        "usage": {
+            "inputTokens": INPUT_TOKENS,
+            "outputTokens": OUTPUT_TOKENS,
+            "totalTokens": INPUT_TOKENS + OUTPUT_TOKENS,
+        },
+        "metrics": {"latencyMs": 1},
+    }
+).encode()
+_JSON_OBJECT: Final = TypeAdapter(dict[str, JsonValue])
+_JSON_LIST: Final = TypeAdapter(list[dict[str, JsonValue]])
+
+
+def redacted_thinking_peer(request: Request) -> Reply:
+    assert request.method == "POST" and request.target == "/model/global.anthropic.claude-opus-4-8/converse"
+    assert request.headers["authorization"] == f"Bearer {TOKEN}"
+    body: Final = json.loads(request.body)
+    assert body["messages"] in (
+        [{"role": "user", "content": [{"text": PROMPT}]}],
+        [{"role": "user", "content": [{"text": RESPONSES_PROMPT}]}],
+    ), body
+    assert body["additionalModelRequestFields"]["thinking"]["type"] == "adaptive", body
+    return Reply(body=RESPONSE)
+
+
+@pytest.mark.covers("other.provider_wire.bedrock.hidden_thinking_tokens_are_not_reported_as_text")
+def test_bedrock_redacted_thinking_is_not_reported_as_zero_reasoning_tokens(gateway: Gateway) -> None:
+    with wire_server(redacted_thinking_peer) as wire, gateway.scenario() as scenario:
+        model: Final = scenario.model(
+            model=MODEL, api_key=TOKEN, aws_region_name="us-east-1", aws_bedrock_runtime_endpoint=wire.url
+        )
+        chat: Final = gateway.request(
+            "POST",
+            "/v1/chat/completions",
+            {
+                "model": model,
+                "messages": [{"role": "user", "content": PROMPT}],
+                "max_tokens": 4000,
+                "reasoning_effort": "max",
+            },
+        )
+        assert chat.status_code == 200, chat.text
+        chat_body: Final = _JSON_OBJECT.validate_json(chat.content)
+        message: Final = _JSON_OBJECT.validate_python(_JSON_LIST.validate_python(chat_body["choices"])[0]["message"])
+        assert message["content"] == "10", chat.text
+        assert message["thinking_blocks"] == [{"type": "redacted_thinking", "data": REDACTED_DATA}], chat.text
+        usage: Final = _JSON_OBJECT.validate_python(chat_body["usage"])
+        assert usage["completion_tokens"] == OUTPUT_TOKENS, chat.text
+        details: Final = _JSON_OBJECT.validate_python(usage["completion_tokens_details"])
+        assert details == {}, chat.text
+        assert len(wire.drain()) == 1
+
+        responses: Final = gateway.request(
+            "POST",
+            "/v1/responses",
+            {"model": model, "input": RESPONSES_PROMPT, "max_output_tokens": 4000, "reasoning": {"effort": "max"}},
+        )
+        assert responses.status_code == 200, responses.text
+        responses_body: Final = _JSON_OBJECT.validate_json(responses.content)
+        output: Final = _JSON_LIST.validate_python(responses_body["output"])
+        reasoning_items: Final = tuple(item for item in output if item["type"] == "reasoning")
+        assert len(reasoning_items) == 1, responses.text
+        assert reasoning_items[0]["encrypted_content"] == json.dumps(
+            [{"type": "redacted_thinking", "data": REDACTED_DATA}], separators=(",", ":")
+        ), responses.text
+        responses_usage: Final = _JSON_OBJECT.validate_python(responses_body["usage"])
+        assert responses_usage["output_tokens"] == OUTPUT_TOKENS, responses.text
+        assert _JSON_OBJECT.validate_python(responses_usage["output_tokens_details"])["reasoning_tokens"] == 0, (
+            responses.text
+        )
+        assert len(wire.drain()) == 1