OpenAI and Anthropic integrations record no output or usage for with_raw_response and with_streaming_response calls #7948

import httpx2, anthropic, sentry_sdk
from sentry_sdk.integrations.anthropic import AnthropicIntegration

BODY = {"id": "msg_01", "type": "message", "role": "assistant", "model": "claude-sonnet-4-5",
        "content": [{"type": "text", "text": "hi there"}], "stop_reason": "end_turn",
        "stop_sequence": None, "usage": {"input_tokens": 7, "output_tokens": 3}}
events = []
sentry_sdk.init(dsn="https://k@o0.ingest.sentry.io/0", traces_sample_rate=1.0, send_default_pii=True,
                integrations=[AnthropicIntegration(include_prompts=True)],
                before_send_transaction=lambda e, h: (events.append(e), None)[1])
client = anthropic.Anthropic(api_key="x", http_client=httpx2.Client(transport=httpx2.MockTransport(lambda r: httpx2.Response(200, json=BODY))))
kw = dict(model="claude-sonnet-4-5", max_tokens=10, messages=[{"role": "user", "content": "hello"}])

for label in ("create", "with_raw_response", "with_streaming_response"):
    with sentry_sdk.start_transaction(name=label):
        if label == "create":
            client.messages.create(**kw)
        elif label == "with_raw_response":
            client.messages.with_raw_response.create(**kw).parse()
        else:
            with client.messages.with_streaming_response.create(**kw) as r:
                r.parse()

KEYS = ("gen_ai.response.id", "gen_ai.response.finish_reasons", "gen_ai.usage.input_tokens", "gen_ai.usage.output_tokens", "gen_ai.response.text")
for e in events:
    for s in e["spans"]:
        if s["op"] == "gen_ai.chat":
            d = s.get("data", {})
            print(f"{e['transaction']:24}", {k: k in d for k in KEYS}, "unknown_response" if d.get("unknown_response") else "")