litellm/tests/e2e/claude_code/pdf_input/test_anthropic.py
devin-ai-integration[bot] 56f4dbf60a
test(claude_code): move the Claude Code compatibility matrix under tests/e2e (#32548)
* test(claude_code): move the Claude Code compatibility matrix under tests/e2e

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* ci(claude_code): drop the CircleCI compat PR gate; the matrix runs in the scheduled e2e suite instead

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* ci: restore the upload-coverage job dropped by mistake with the compat gate

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(e2e/claude_code): print rate-limit summary on failed compat runs and fix stale run_daily.sh header comments

* test(claude_code): assert fine-grained tool streaming via input_json_delta instead of an event-count floor

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: mateo <mateo@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-07-14 19:19:03 -07:00

176 lines
6.2 KiB
Python

"""pdf_input x Anthropic.
Drive the real `claude` CLI against a running LiteLLM proxy that routes
to Anthropic, write a tiny valid PDF to disk, allow the built-in `Read`
tool, and ask Claude to read the PDF and report what it contains.
The Read tool inlines the PDF bytes as `document` content blocks on the
next assistant turn, which is exactly the gateway path we want to
exercise: it's distinct from image content blocks (which are tested in
`vision/`) and uses a different transformation in LiteLLM's Anthropic
provider. We assert the upstream produces a non-empty reply that
references the contents of the PDF — proving the proxy preserved the
document content block end-to-end.
The (feature, provider) for this cell is inferred from the file path by
`tests/e2e/claude_code/conftest.py`:
tests/e2e/claude_code/pdf_input/test_anthropic.py
^^^^^^^^^ ^^^^^^^^^
feature_id provider
"""
from __future__ import annotations
import os
import pytest
from claude_code.cli_driver import (
ClaudeCLIError,
failure_diagnostic,
run_claude_models_parallel,
)
PROXY_BASE_URL_ENV = "LITELLM_PROXY_BASE_URL"
PROXY_API_KEY_ENV = "LITELLM_PROXY_API_KEY"
ANTHROPIC_MODELS = [
"claude-haiku-4-5",
"claude-sonnet-4-6",
"claude-opus-4-7",
]
# Smallest valid PDF that renders a single visible word ("PONG"). Built
# inline rather than checked in as a binary fixture so the test stays
# self-contained and the marker word is easy to grep for in CI logs.
# The structure is a hand-crafted single-page PDF with one Helvetica
# text show; offsets are computed at write time so the xref table
# stays consistent regardless of platform line endings.
PDF_MARKER = "PONG"
def _build_minimal_pdf(marker: str) -> bytes:
"""Return a single-page PDF whose only visible text is `marker`.
We construct the PDF imperatively because `pypdf`/`reportlab` are
not in the test deps and we want the cell to work in a clean
environment. The xref offsets are recomputed for each `marker`
length so the file stays well-formed.
"""
objects = [
b"<< /Type /Catalog /Pages 2 0 R >>",
b"<< /Type /Pages /Kids [3 0 R] /Count 1 >>",
(
b"<< /Type /Page /Parent 2 0 R /MediaBox [0 0 200 200] "
b"/Contents 4 0 R /Resources << /Font << /F1 5 0 R >> >> >>"
),
# Page content stream: position the text and show the marker.
# `BT ... ET` is a text object; `Tf` selects font, `Td` moves
# the cursor, `Tj` paints a string.
(
b"<< /Length %d >>\nstream\nBT /F1 24 Tf 50 100 Td ("
+ marker.encode("ascii")
+ b") Tj ET\nendstream"
),
b"<< /Type /Font /Subtype /Type1 /BaseFont /Helvetica >>",
]
# Fix up the /Length on the content stream to match its body.
body_open = objects[3].index(b"\nstream\n") + len(b"\nstream\n")
body_close = objects[3].index(b"\nendstream")
body_len = body_close - body_open
objects[3] = (
b"<< /Length "
+ str(body_len).encode("ascii")
+ b" >>\nstream\n"
+ objects[3][body_open:body_close]
+ b"\nendstream"
)
out = bytearray(b"%PDF-1.4\n")
offsets = []
for i, obj in enumerate(objects, start=1):
offsets.append(len(out))
out += f"{i} 0 obj\n".encode("ascii") + obj + b"\nendobj\n"
xref_offset = len(out)
out += b"xref\n0 %d\n" % (len(objects) + 1)
out += b"0000000000 65535 f \n"
for off in offsets:
out += f"{off:010d} 00000 n \n".encode("ascii")
out += (
b"trailer\n<< /Size "
+ str(len(objects) + 1).encode("ascii")
+ b" /Root 1 0 R >>\nstartxref\n"
+ str(xref_offset).encode("ascii")
+ b"\n%%EOF\n"
)
return bytes(out)
def test_pdf_input_anthropic(compat_result, tmp_path):
"""Drive the `claude` CLI against the LiteLLM proxy with a PDF
attached via the Read tool and assert the reply references it."""
base_url = os.environ.get(PROXY_BASE_URL_ENV)
api_key = os.environ.get(PROXY_API_KEY_ENV)
if not base_url or not api_key:
compat_result.set(
{
"status": "fail",
"error": (
f"missing required env: set {PROXY_BASE_URL_ENV} and "
f"{PROXY_API_KEY_ENV} to point at a running LiteLLM proxy"
),
}
)
pytest.fail(
f"{PROXY_BASE_URL_ENV} / {PROXY_API_KEY_ENV} not configured", pytrace=False
)
pdf_path = tmp_path / "marker.pdf"
pdf_path.write_bytes(_build_minimal_pdf(PDF_MARKER))
outcomes = run_claude_models_parallel(
models=ANTHROPIC_MODELS,
prompt=(
f"Use the Read tool to read the file at {pdf_path}. "
"Report the single word that appears in the document."
),
base_url=base_url,
api_key=api_key,
extra_args=["--allowed-tools", "Read"],
)
failures = []
for model in ANTHROPIC_MODELS:
outcome = outcomes[model]
if isinstance(outcome, ClaudeCLIError):
error = f"[{model}] {outcome}"
compat_result.add({"status": "fail", "error": error})
failures.append(error)
continue
if outcome.exit_code != 0:
error = f"[{model}] claude CLI failed: {failure_diagnostic(outcome)}"
compat_result.add({"status": "fail", "error": error})
failures.append(error)
continue
# The strongest gateway-level signal we can assert without
# parsing every event type: the model's final user-visible
# reply names the marker word that only the PDF carries.
# If the proxy dropped the `document` content block, the
# model has no way to produce this token.
if PDF_MARKER not in outcome.text.upper():
error = (
f"[{model}] reply did not reference the PDF marker {PDF_MARKER!r}; "
f"got: {outcome.text.strip()!r}"
)
compat_result.add({"status": "fail", "error": error})
failures.append(error)
continue
compat_result.add({"status": "pass"})
if failures:
pytest.fail("; ".join(failures), pytrace=False)