Files
AstrBot/tests/test_anthropic_kimi_code_provider.py
Pink YuDeer 1f9c2c2b50 fix(provider): fix Anthropic custom headers and system prompt compatibility (#7587)
* fix(provider): fix Anthropic custom headers and system prompt compatibility

- Pass custom_headers via AsyncAnthropic's `default_headers` parameter
  instead of creating a separate httpx.AsyncClient. This avoids
  `isinstance` check failures when multiple httpx installations exist
  on sys.path (e.g. bundled Python + system Python).

- Use list format for the `system` parameter (`[{"type": "text", ...}]`)
  instead of a plain string. The list format is supported by the official
  Anthropic API and is also compatible with third-party API proxies that
  reject the string format.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix(provider): fix Anthropic custom headers and system prompt compatibility

- Pass custom_headers via AsyncAnthropic's `default_headers` parameter
  instead of creating a separate httpx.AsyncClient. This avoids
  `isinstance` check failures when multiple httpx installations exist
  on sys.path (e.g. bundled Python + system Python).

- Use list format for the `system` parameter (`[{"type": "text", ...}]`)
  instead of a plain string. The list format is supported by the official
  Anthropic API and is also compatible with third-party API proxies that
  reject the string format.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* Add test unit

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-02 12:46:34 +08:00

419 lines
13 KiB
Python

import builtins
import pytest
import astrbot.core.provider.sources.anthropic_source as anthropic_source
import astrbot.core.provider.sources.kimi_code_source as kimi_code_source
from astrbot.core.exceptions import EmptyModelOutputError
from astrbot.core.provider.entities import LLMResponse
class _FakeAsyncAnthropic:
def __init__(self, **kwargs):
self.kwargs = kwargs
async def close(self):
return None
def test_anthropic_provider_passes_custom_headers_via_default_headers(monkeypatch):
monkeypatch.setattr(anthropic_source, "AsyncAnthropic", _FakeAsyncAnthropic)
provider = anthropic_source.ProviderAnthropic(
provider_config={
"id": "anthropic-test",
"type": "anthropic_chat_completion",
"model": "claude-test",
"key": ["test-key"],
"custom_headers": {
"User-Agent": "custom-agent/1.0",
"X-Test-Header": 123,
},
},
provider_settings={},
)
assert provider.custom_headers == {
"User-Agent": "custom-agent/1.0",
"X-Test-Header": "123",
}
# Custom headers are forwarded via the SDK's `default_headers` parameter,
# not via a custom http_client (which is reserved for proxy configuration).
assert provider.client.kwargs["default_headers"] == {
"User-Agent": "custom-agent/1.0",
"X-Test-Header": "123",
}
assert provider.client.kwargs["http_client"] is None
def test_kimi_code_provider_sets_defaults_and_preserves_custom_headers(monkeypatch):
monkeypatch.setattr(anthropic_source, "AsyncAnthropic", _FakeAsyncAnthropic)
provider = kimi_code_source.ProviderKimiCode(
provider_config={
"id": "kimi-code",
"type": "kimi_code_chat_completion",
"key": ["test-key"],
"custom_headers": {"X-Trace-Id": "trace-1"},
},
provider_settings={},
)
assert provider.base_url == kimi_code_source.KIMI_CODE_API_BASE
assert provider.get_model() == kimi_code_source.KIMI_CODE_DEFAULT_MODEL
assert provider.custom_headers == {
"User-Agent": kimi_code_source.KIMI_CODE_USER_AGENT,
"X-Trace-Id": "trace-1",
}
assert provider.client.kwargs["default_headers"] == {
"User-Agent": kimi_code_source.KIMI_CODE_USER_AGENT,
"X-Trace-Id": "trace-1",
}
def test_kimi_code_provider_restores_required_user_agent_when_blank(monkeypatch):
monkeypatch.setattr(anthropic_source, "AsyncAnthropic", _FakeAsyncAnthropic)
provider = kimi_code_source.ProviderKimiCode(
provider_config={
"id": "kimi-code",
"type": "kimi_code_chat_completion",
"key": ["test-key"],
"custom_headers": {"User-Agent": " "},
},
provider_settings={},
)
assert provider.custom_headers == {
"User-Agent": kimi_code_source.KIMI_CODE_USER_AGENT,
}
def test_create_http_client_returns_none_when_no_proxy(monkeypatch):
def fail_if_called(*args, **kwargs):
raise AssertionError("create_proxy_client should not be called without a proxy")
monkeypatch.setattr(anthropic_source, "create_proxy_client", fail_if_called)
provider = anthropic_source.ProviderAnthropic.__new__(
anthropic_source.ProviderAnthropic
)
provider.custom_headers = {"X-Trace-Id": "abc"}
assert provider._create_http_client({"proxy": ""}) is None
def test_create_http_client_uses_anthropic_httpx_module(monkeypatch):
captured: dict[str, object] = {}
def fake_create_proxy_client(
provider_label: str,
proxy: str | None = None,
headers: dict[str, str] | None = None,
verify=None,
httpx_module=None,
):
captured["provider_label"] = provider_label
captured["proxy"] = proxy
captured["headers"] = headers
captured["httpx_module"] = httpx_module
return object()
monkeypatch.setattr(
anthropic_source, "create_proxy_client", fake_create_proxy_client
)
provider = anthropic_source.ProviderAnthropic.__new__(
anthropic_source.ProviderAnthropic
)
provider.custom_headers = {"X-Trace-Id": "trace-1"}
provider._create_http_client({"proxy": "http://127.0.0.1:7890"})
from anthropic import _base_client as anthropic_base_client
assert captured["provider_label"] == "Anthropic"
assert captured["proxy"] == "http://127.0.0.1:7890"
assert captured["headers"] == {"X-Trace-Id": "trace-1"}
assert captured["httpx_module"] is anthropic_base_client.httpx
def test_create_http_client_falls_back_to_global_httpx_module(monkeypatch):
captured: dict[str, object] = {}
def fake_create_proxy_client(
provider_label: str,
proxy: str | None = None,
headers: dict[str, str] | None = None,
verify=None,
httpx_module=None,
):
captured["httpx_module"] = httpx_module
return object()
real_import = builtins.__import__
def fake_import(name, globals=None, locals=None, fromlist=(), level=0):
if name == "anthropic" and fromlist:
raise ImportError("missing anthropic._base_client")
return real_import(name, globals, locals, fromlist, level)
monkeypatch.setattr(
anthropic_source, "create_proxy_client", fake_create_proxy_client
)
monkeypatch.setattr(builtins, "__import__", fake_import)
provider = anthropic_source.ProviderAnthropic.__new__(
anthropic_source.ProviderAnthropic
)
provider.custom_headers = None
provider._create_http_client({"proxy": "http://127.0.0.1:7890"})
assert captured["httpx_module"] is anthropic_source.httpx
@pytest.mark.asyncio
async def test_text_chat_wraps_string_system_prompt_as_list(monkeypatch):
monkeypatch.setattr(anthropic_source, "AsyncAnthropic", _FakeAsyncAnthropic)
provider = anthropic_source.ProviderAnthropic(
provider_config={
"id": "anthropic-test",
"type": "anthropic_chat_completion",
"model": "claude-test",
"key": ["test-key"],
},
provider_settings={},
)
captured_payloads: dict[str, object] = {}
async def fake_query(payloads, tools):
captured_payloads.update(payloads)
return LLMResponse(role="assistant", completion_text="ok")
monkeypatch.setattr(provider, "_query", fake_query)
await provider.text_chat(prompt="hello", system_prompt="You are helpful.")
assert captured_payloads["system"] == [{"type": "text", "text": "You are helpful."}]
@pytest.mark.asyncio
async def test_text_chat_passes_through_list_system_prompt(monkeypatch):
monkeypatch.setattr(anthropic_source, "AsyncAnthropic", _FakeAsyncAnthropic)
provider = anthropic_source.ProviderAnthropic(
provider_config={
"id": "anthropic-test",
"type": "anthropic_chat_completion",
"model": "claude-test",
"key": ["test-key"],
},
provider_settings={},
)
captured_payloads: dict[str, object] = {}
async def fake_query(payloads, tools):
captured_payloads.update(payloads)
return LLMResponse(role="assistant", completion_text="ok")
monkeypatch.setattr(provider, "_query", fake_query)
structured_system = [
{"type": "text", "text": "Persona block."},
{"type": "text", "text": "Style guide."},
]
await provider.text_chat(prompt="hello", system_prompt=structured_system)
assert captured_payloads["system"] == structured_system
def test_anthropic_empty_output_raises_empty_model_output_error():
llm_response = LLMResponse(role="assistant")
with pytest.raises(EmptyModelOutputError):
anthropic_source.ProviderAnthropic._ensure_usable_response(
llm_response,
completion_id="msg_empty",
stop_reason="end_turn",
)
def _make_anthropic_provider_for_payload_tests() -> anthropic_source.ProviderAnthropic:
return anthropic_source.ProviderAnthropic(
provider_config={"model": "claude-test"},
provider_settings={},
use_api_key=False,
)
def test_prepare_payload_merges_consecutive_tool_results_into_single_user_message():
provider = _make_anthropic_provider_for_payload_tests()
_, new_messages = provider._prepare_payload(
[
{
"role": "assistant",
"content": [{"type": "text", "text": "Reading files"}],
"tool_calls": [
{
"type": "function",
"id": "call_00",
"function": {
"name": "astrbot_file_read_tool",
"arguments": '{"path": "/tmp/one.txt"}',
},
},
{
"type": "function",
"id": "call_01",
"function": {
"name": "astrbot_file_read_tool",
"arguments": '{"path": "/tmp/two.txt"}',
},
},
],
},
{
"role": "tool",
"tool_call_id": "call_00",
"content": "one",
},
{
"role": "tool",
"tool_call_id": "call_01",
"content": "two",
},
]
)
assert len(new_messages) == 2
assert new_messages[1]["role"] == "user"
assert new_messages[1]["content"] == [
{"type": "tool_result", "tool_use_id": "call_00", "content": "one"},
{"type": "tool_result", "tool_use_id": "call_01", "content": "two"},
]
def test_prepare_payload_keeps_single_tool_result_as_single_user_message():
provider = _make_anthropic_provider_for_payload_tests()
_, new_messages = provider._prepare_payload(
[
{
"role": "assistant",
"content": [{"type": "text", "text": "Reading file"}],
"tool_calls": [
{
"type": "function",
"id": "call_00",
"function": {
"name": "astrbot_file_read_tool",
"arguments": '{"path": "/tmp/one.txt"}',
},
}
],
},
{
"role": "tool",
"tool_call_id": "call_00",
"content": "one",
},
]
)
assert len(new_messages) == 2
assert new_messages[1] == {
"role": "user",
"content": [
{"type": "tool_result", "tool_use_id": "call_00", "content": "one"}
],
}
def test_prepare_payload_does_not_merge_non_consecutive_tool_results():
provider = _make_anthropic_provider_for_payload_tests()
_, new_messages = provider._prepare_payload(
[
{
"role": "assistant",
"content": [{"type": "text", "text": "First tool"}],
"tool_calls": [
{
"type": "function",
"id": "call_00",
"function": {
"name": "astrbot_file_read_tool",
"arguments": '{"path": "/tmp/one.txt"}',
},
}
],
},
{
"role": "tool",
"tool_call_id": "call_00",
"content": "one",
},
{
"role": "assistant",
"content": [{"type": "text", "text": "Second tool"}],
"tool_calls": [
{
"type": "function",
"id": "call_01",
"function": {
"name": "astrbot_file_read_tool",
"arguments": '{"path": "/tmp/two.txt"}',
},
}
],
},
{
"role": "tool",
"tool_call_id": "call_01",
"content": "two",
},
]
)
assert new_messages == [
{
"role": "assistant",
"content": [
{"type": "text", "text": "First tool"},
{
"type": "tool_use",
"name": "astrbot_file_read_tool",
"input": {"path": "/tmp/one.txt"},
"id": "call_00",
},
],
},
{
"role": "user",
"content": [
{"type": "tool_result", "tool_use_id": "call_00", "content": "one"}
],
},
{
"role": "assistant",
"content": [
{"type": "text", "text": "Second tool"},
{
"type": "tool_use",
"name": "astrbot_file_read_tool",
"input": {"path": "/tmp/two.txt"},
"id": "call_01",
},
],
},
{
"role": "user",
"content": [
{"type": "tool_result", "tool_use_id": "call_01", "content": "two"}
],
},
]