hermes-agent/tests/agent/transports/test_bedrock_transport.py

182 lines
6.2 KiB
Python

"""Tests for the BedrockTransport."""
import json
import pytest
from types import SimpleNamespace
from agent.transports import get_transport
from agent.transports.types import NormalizedResponse, ToolCall
@pytest.fixture
def transport():
import agent.transports.bedrock # noqa: F401
return get_transport("bedrock_converse")
class TestBedrockBasic:
def test_api_mode(self, transport):
assert transport.api_mode == "bedrock_converse"
def test_registered(self, transport):
assert transport is not None
class TestBedrockBuildKwargs:
def test_basic_kwargs(self, transport):
msgs = [{"role": "user", "content": "Hello"}]
kw = transport.build_kwargs(model="anthropic.claude-3-5-sonnet-20241022-v2:0", messages=msgs)
assert kw["modelId"] == "anthropic.claude-3-5-sonnet-20241022-v2:0"
assert kw["__bedrock_converse__"] is True
assert kw["__bedrock_region__"] == "us-east-1"
assert "messages" in kw
def test_custom_region(self, transport):
msgs = [{"role": "user", "content": "Hi"}]
kw = transport.build_kwargs(
model="anthropic.claude-3-5-sonnet-20241022-v2:0",
messages=msgs,
region="eu-west-1",
)
assert kw["__bedrock_region__"] == "eu-west-1"
def test_max_tokens(self, transport):
msgs = [{"role": "user", "content": "Hi"}]
kw = transport.build_kwargs(
model="anthropic.claude-3-5-sonnet-20241022-v2:0",
messages=msgs,
max_tokens=8192,
)
assert kw["inferenceConfig"]["maxTokens"] == 8192
class TestBedrockConvertTools:
def test_convert_tools(self, transport):
tools = [{
"type": "function",
"function": {
"name": "terminal",
"description": "Run commands",
"parameters": {"type": "object", "properties": {"command": {"type": "string"}}},
}
}]
result = transport.convert_tools(tools)
assert len(result) == 1
assert result[0]["toolSpec"]["name"] == "terminal"
class TestBedrockValidate:
def test_none(self, transport):
assert transport.validate_response(None) is False
def test_raw_dict_valid(self, transport):
assert transport.validate_response({"output": {"message": {}}}) is True
def test_raw_dict_invalid(self, transport):
assert transport.validate_response({"error": "fail"}) is False
def test_normalized_valid(self, transport):
r = SimpleNamespace(choices=[SimpleNamespace(message=SimpleNamespace(content="hi"))])
assert transport.validate_response(r) is True
class TestBedrockMapFinishReason:
def test_end_turn(self, transport):
assert transport.map_finish_reason("end_turn") == "stop"
def test_tool_use(self, transport):
assert transport.map_finish_reason("tool_use") == "tool_calls"
def test_max_tokens(self, transport):
assert transport.map_finish_reason("max_tokens") == "length"
def test_guardrail(self, transport):
assert transport.map_finish_reason("guardrail_intervened") == "content_filter"
def test_unknown(self, transport):
assert transport.map_finish_reason("unknown") == "stop"
class TestBedrockNormalize:
def _make_bedrock_response(self, text="Hello", tool_calls=None, stop_reason="end_turn"):
"""Build a raw Bedrock converse response dict."""
content = []
if text:
content.append({"text": text})
if tool_calls:
for tc in tool_calls:
content.append({
"toolUse": {
"toolUseId": tc["id"],
"name": tc["name"],
"input": tc["input"],
}
})
return {
"output": {"message": {"role": "assistant", "content": content}},
"stopReason": stop_reason,
"usage": {"inputTokens": 10, "outputTokens": 5, "totalTokens": 15},
}
def test_text_response(self, transport):
raw = self._make_bedrock_response(text="Hello world")
nr = transport.normalize_response(raw)
assert isinstance(nr, NormalizedResponse)
assert nr.content == "Hello world"
assert nr.finish_reason == "stop"
def test_tool_call_response(self, transport):
raw = self._make_bedrock_response(
text=None,
tool_calls=[{"id": "tool_1", "name": "terminal", "input": {"command": "ls"}}],
stop_reason="tool_use",
)
nr = transport.normalize_response(raw)
assert nr.finish_reason == "tool_calls"
assert len(nr.tool_calls) == 1
assert nr.tool_calls[0].name == "terminal"
def test_raw_reasoning_content_response(self, transport):
raw = {
"output": {
"message": {
"role": "assistant",
"content": [
{"reasoningContent": {"text": "Let me think..."}},
{"text": "Answer."},
],
}
},
"stopReason": "end_turn",
"usage": {"inputTokens": 10, "outputTokens": 5, "totalTokens": 15},
}
nr = transport.normalize_response(raw)
assert nr.reasoning == "Let me think..."
assert nr.content == "Answer."
def test_already_normalized_response(self, transport):
"""Test normalize_response handles already-normalized SimpleNamespace (from dispatch site)."""
pre_normalized = SimpleNamespace(
choices=[SimpleNamespace(
message=SimpleNamespace(
content="Hello from Bedrock",
tool_calls=None,
reasoning=None,
reasoning_content=None,
),
finish_reason="stop",
)],
usage=SimpleNamespace(prompt_tokens=10, completion_tokens=5, total_tokens=15),
)
nr = transport.normalize_response(pre_normalized)
assert isinstance(nr, NormalizedResponse)
assert nr.content == "Hello from Bedrock"
assert nr.finish_reason == "stop"
assert nr.usage is not None
assert nr.usage.prompt_tokens == 10