Add Responses API with streaming, history, and advanced features
Implements Phases 2, 3, and 6: Complete Responses API implementation Core API (Phase 2): - OpenAI Responses API format with structured output items - Streaming and non-streaming support via SSE-Starlette - Reasoning items (thinking summaries) - Function call items (tool execution) - Message items (assistant responses) - Router, schemas, service, and streaming coordinator Conversation History (Phase 3): - Hybrid client/server approach - Auto-generated deterministic conversation IDs - Configurable max turns with automatic trimming - Context window management with token counting - Token usage statistics - Placeholder for future vector memory integration Advanced Features (Phase 6): - Parameter validation with Pydantic field validators: - Temperature: 0.0-2.0 range enforcement - Reasoning effort: 6 levels (none to xhigh) - Max output tokens: positive integer enforcement - Stop sequences: up to 4, non-empty strings - Real-time stop sequence detection during streaming - Real-time max tokens enforcement with token counting - Graceful error handling and OpenAI-compatible error format Testing: - 9 unit tests for API endpoints and streaming - 11 unit tests for error handling - 13 unit tests for conversation history and context - 12 unit tests for advanced features and validation - Total: 45 tests with comprehensive coverage 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Claude
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"""Tests for Responses API implementation."""
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"""
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Tests for Phase 6 advanced features.
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Tests:
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- Parameter validation (reasoning effort, max_output_tokens, stop sequences)
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- Stop sequence detection and enforcement
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- Max tokens enforcement
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"""
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import json
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import pytest
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from fastapi.testclient import TestClient
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from httpx import AsyncClient
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from pydantic import ValidationError
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from src.responses.schemas import ResponseRequest
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from src.responses.streaming import StreamingCoordinator
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# ============================================================================
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# Parameter Validation Tests
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# ============================================================================
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@pytest.mark.unit
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def test_temperature_validation():
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"""Test temperature parameter validation."""
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# Valid temperatures
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valid_temps = [0.0, 0.5, 1.0, 1.5, 2.0]
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for temp in valid_temps:
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request = ResponseRequest(
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model="lorem-tester",
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input=[{"role": "user", "content": "Hello"}],
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temperature=temp
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)
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assert request.temperature == temp
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# Invalid temperatures
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with pytest.raises(ValidationError) as exc_info:
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ResponseRequest(
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model="lorem-tester",
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input=[{"role": "user", "content": "Hello"}],
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temperature=-0.1 # Too low
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)
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assert "temperature" in str(exc_info.value).lower()
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with pytest.raises(ValidationError) as exc_info:
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ResponseRequest(
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model="lorem-tester",
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input=[{"role": "user", "content": "Hello"}],
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temperature=2.1 # Too high
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)
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assert "temperature" in str(exc_info.value).lower()
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@pytest.mark.unit
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def test_reasoning_effort_validation():
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"""Test reasoning.effort parameter validation."""
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# Valid effort levels
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valid_efforts = ['none', 'minimal', 'low', 'medium', 'high', 'xhigh']
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for effort in valid_efforts:
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request = ResponseRequest(
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model="lorem-tester",
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input=[{"role": "user", "content": "Hello"}],
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reasoning={"effort": effort, "summary": "auto"}
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)
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assert request.reasoning["effort"] == effort
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# Invalid effort level
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with pytest.raises(ValidationError) as exc_info:
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ResponseRequest(
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model="lorem-tester",
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input=[{"role": "user", "content": "Hello"}],
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reasoning={"effort": "invalid", "summary": "auto"}
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)
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assert "reasoning.effort" in str(exc_info.value)
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@pytest.mark.unit
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def test_reasoning_summary_validation():
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"""Test reasoning.summary parameter validation."""
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# Valid summary values
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valid_summaries = ['auto', 'off']
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for summary in valid_summaries:
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request = ResponseRequest(
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model="lorem-tester",
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input=[{"role": "user", "content": "Hello"}],
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reasoning={"effort": "medium", "summary": summary}
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)
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assert request.reasoning["summary"] == summary
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# Invalid summary value
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with pytest.raises(ValidationError) as exc_info:
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ResponseRequest(
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model="lorem-tester",
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input=[{"role": "user", "content": "Hello"}],
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reasoning={"effort": "medium", "summary": "invalid"}
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)
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assert "reasoning.summary" in str(exc_info.value)
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@pytest.mark.unit
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def test_max_output_tokens_validation():
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"""Test max_output_tokens parameter validation."""
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# Valid values
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request = ResponseRequest(
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model="lorem-tester",
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input=[{"role": "user", "content": "Hello"}],
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max_output_tokens=100
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)
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assert request.max_output_tokens == 100
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# None is valid (unlimited)
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request = ResponseRequest(
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model="lorem-tester",
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input=[{"role": "user", "content": "Hello"}],
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max_output_tokens=None
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)
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assert request.max_output_tokens is None
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# Invalid: zero or negative
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with pytest.raises(ValidationError) as exc_info:
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ResponseRequest(
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model="lorem-tester",
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input=[{"role": "user", "content": "Hello"}],
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max_output_tokens=0
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)
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assert "max_output_tokens" in str(exc_info.value)
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with pytest.raises(ValidationError) as exc_info:
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ResponseRequest(
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model="lorem-tester",
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input=[{"role": "user", "content": "Hello"}],
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max_output_tokens=-10
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)
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assert "max_output_tokens" in str(exc_info.value)
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@pytest.mark.unit
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def test_stop_sequences_validation():
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"""Test stop sequences parameter validation."""
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# Valid: up to 4 stop sequences
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for num_seqs in range(1, 5):
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stop_seqs = [f"stop{i}" for i in range(num_seqs)]
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request = ResponseRequest(
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model="lorem-tester",
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input=[{"role": "user", "content": "Hello"}],
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stop=stop_seqs
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)
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assert request.stop == stop_seqs
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# Invalid: more than 4 stop sequences
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with pytest.raises(ValidationError) as exc_info:
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ResponseRequest(
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model="lorem-tester",
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input=[{"role": "user", "content": "Hello"}],
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stop=["stop1", "stop2", "stop3", "stop4", "stop5"] # 5 sequences
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)
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assert "4 stop sequences" in str(exc_info.value)
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# Invalid: empty string in stop sequences
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with pytest.raises(ValidationError) as exc_info:
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ResponseRequest(
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model="lorem-tester",
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input=[{"role": "user", "content": "Hello"}],
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stop=["stop1", ""] # Empty string
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)
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assert "non-empty" in str(exc_info.value).lower()
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# ============================================================================
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# Stop Sequence Enforcement Tests
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# ============================================================================
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@pytest.mark.unit
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def test_stop_sequence_detection_helper():
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"""Test stop sequence detection helper method."""
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coordinator = StreamingCoordinator()
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# No stop sequences
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found, text = coordinator._check_stop_sequence("Hello world", None)
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assert found is False
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assert text == "Hello world"
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# Stop sequence not present
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found, text = coordinator._check_stop_sequence(
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"Hello world",
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["STOP", "END"]
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)
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assert found is False
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assert text == "Hello world"
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# Stop sequence found
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found, text = coordinator._check_stop_sequence(
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"Hello STOP this should not appear",
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["STOP"]
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)
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assert found is True
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assert text == "Hello "
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# Multiple stop sequences, first one wins
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found, text = coordinator._check_stop_sequence(
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"Hello STOP this END that",
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["STOP", "END"]
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)
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assert found is True
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assert text == "Hello "
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@pytest.mark.unit
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@pytest.mark.asyncio
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async def test_stop_sequence_in_streaming(async_client: AsyncClient):
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"""Test stop sequence enforcement during streaming."""
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# We'll use lorem-tester which generates predictable text
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# The agent generates lorem ipsum text, so we use a stop sequence
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# that's likely to appear
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request_data = {
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"model": "lorem-tester",
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"input": [{"role": "user", "content": "Generate long text"}],
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"stop": ["dolor"], # Common word in lorem ipsum
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"stream": True
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}
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chunks_received = []
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async with async_client.stream(
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"POST",
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"/v1/responses",
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json=request_data,
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timeout=20.0,
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) as response:
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assert response.status_code == 200
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async for line in response.aiter_lines():
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if not line.strip():
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continue
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if line.startswith("data: "):
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data_str = line[6:].strip()
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if data_str != "[DONE]":
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try:
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chunk = json.loads(data_str)
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chunks_received.append(chunk)
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except json.JSONDecodeError:
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pass
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# Should have received chunks and stopped early
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# (Can't verify exact stop behavior with random lorem ipsum,
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# but test ensures no errors occur)
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assert len(chunks_received) > 0
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# ============================================================================
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# Max Tokens Enforcement Tests
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# ============================================================================
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@pytest.mark.unit
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def test_max_tokens_check_helper():
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"""Test max tokens check helper method."""
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coordinator = StreamingCoordinator()
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# No limit
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assert coordinator._check_max_tokens(100, None) is False
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# Under limit
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assert coordinator._check_max_tokens(50, 100) is False
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# At limit
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assert coordinator._check_max_tokens(100, 100) is True
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# Over limit
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assert coordinator._check_max_tokens(150, 100) is True
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@pytest.mark.unit
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def test_token_counting_helper():
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"""Test approximate token counting."""
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coordinator = StreamingCoordinator()
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# Empty string
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assert coordinator._count_tokens_approx("") == 0
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# ~4 chars per token
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text = "Hello world" # 11 chars
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tokens = coordinator._count_tokens_approx(text)
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assert tokens == 2 # 11 // 4 = 2
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text = "A" * 100 # 100 chars
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tokens = coordinator._count_tokens_approx(text)
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assert tokens == 25 # 100 // 4 = 25
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@pytest.mark.unit
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@pytest.mark.asyncio
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async def test_max_tokens_in_streaming(async_client: AsyncClient):
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"""Test max tokens enforcement during streaming."""
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# Set very low max_output_tokens to force early stop
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request_data = {
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"model": "lorem-tester",
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"input": [{"role": "user", "content": "Generate text"}],
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"max_output_tokens": 5, # Very low limit
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"stream": True
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}
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chunks_received = []
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text_chunks = []
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async with async_client.stream(
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"POST",
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"/v1/responses",
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json=request_data,
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timeout=20.0,
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) as response:
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assert response.status_code == 200
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async for line in response.aiter_lines():
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if not line.strip():
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continue
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if line.startswith("event: "):
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event_type = line[7:].strip()
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elif line.startswith("data: "):
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data_str = line[6:].strip()
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if data_str != "[DONE]":
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try:
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chunk = json.loads(data_str)
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chunks_received.append(chunk)
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# Collect text deltas
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if "delta" in chunk:
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text_chunks.append(chunk["delta"])
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except json.JSONDecodeError:
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pass
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# Should have stopped early due to token limit
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total_text = "".join(text_chunks)
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# With max_output_tokens=5, total text should be small
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# (Approximate: 5 tokens * 4 chars ≈ 20 chars)
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assert len(total_text) < 100 # Reasonable upper bound
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# ============================================================================
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# Combined Features Test
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# ============================================================================
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@pytest.mark.unit
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def test_combined_validation(client: TestClient):
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"""Test combined parameter validation in actual request."""
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# Valid request with all advanced features
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request_data = {
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"model": "lorem-tester",
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"input": [{"role": "user", "content": "Hello"}],
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"temperature": 0.7,
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"max_output_tokens": 100,
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"stop": ["STOP", "END"],
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"reasoning": {"effort": "high", "summary": "auto"},
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"stream": False
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}
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response = client.post("/v1/responses", json=request_data)
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assert response.status_code == 200
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data = response.json()
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assert data["status"] == "completed"
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@pytest.mark.unit
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def test_invalid_combined_parameters(client: TestClient):
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"""Test that invalid parameters are rejected."""
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# Invalid temperature
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request_data = {
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"model": "lorem-tester",
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"input": [{"role": "user", "content": "Hello"}],
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"temperature": 3.0, # Too high
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"stream": False
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}
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response = client.post("/v1/responses", json=request_data)
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assert response.status_code == 422
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data = response.json()
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assert "error" in data
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assert data["error"]["type"] == "invalid_request_error"
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@@ -0,0 +1,281 @@
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"""
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Tests for error handling in Responses API.
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"""
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import json
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import pytest
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from fastapi.testclient import TestClient
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from httpx import AsyncClient
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@pytest.mark.unit
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def test_model_not_found_error(client: TestClient) -> None:
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"""Test response when model doesn't exist."""
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request_data = {
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"model": "nonexistent-model-12345",
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"input": [
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{"role": "user", "content": "Hello"}
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],
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"stream": False
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}
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response = client.post("/v1/responses", json=request_data)
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assert response.status_code == 404
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data = response.json()
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assert "detail" in data
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assert "not found" in data["detail"].lower()
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@pytest.mark.unit
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def test_validation_error_missing_model(client: TestClient) -> None:
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"""Test validation error when model field is missing."""
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request_data = {
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"input": [
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{"role": "user", "content": "Hello"}
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]
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}
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response = client.post("/v1/responses", json=request_data)
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assert response.status_code == 422
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@pytest.mark.unit
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def test_validation_error_invalid_temperature(client: TestClient) -> None:
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"""Test validation error for out-of-range temperature."""
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request_data = {
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"model": "lorem-tester",
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"input": [
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{"role": "user", "content": "Hello"}
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],
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"temperature": 3.0 # Max is 2.0
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}
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response = client.post("/v1/responses", json=request_data)
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assert response.status_code == 422
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@pytest.mark.unit
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def test_rate_limit_error(client: TestClient) -> None:
|
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"""Test rate limit error trigger."""
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request_data = {
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"model": "lorem-tester",
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"input": [
|
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{"role": "user", "content": "trigger_rate_limit"}
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],
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"stream": False
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}
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response = client.post("/v1/responses", json=request_data)
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# Should get an error response
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assert response.status_code in [429, 500] # Rate limit or internal error
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|
||||
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@pytest.mark.unit
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||||
def test_context_overflow_error(client: TestClient) -> None:
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"""Test context length overflow error trigger."""
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request_data = {
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"model": "lorem-tester",
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"input": [
|
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{"role": "user", "content": "trigger_context_overflow"}
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],
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"stream": False
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}
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response = client.post("/v1/responses", json=request_data)
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||||
# Should get an error response
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assert response.status_code in [400, 500] # Bad request or internal error
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@pytest.mark.unit
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@pytest.mark.asyncio
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||||
async def test_streaming_model_not_found(async_client: AsyncClient) -> None:
|
||||
"""Test streaming response with nonexistent model."""
|
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request_data = {
|
||||
"model": "nonexistent-streaming-model",
|
||||
"input": [
|
||||
{"role": "user", "content": "Hello"}
|
||||
],
|
||||
"stream": True
|
||||
}
|
||||
|
||||
async with async_client.stream(
|
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"POST",
|
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"/v1/responses",
|
||||
json=request_data,
|
||||
timeout=20.0,
|
||||
) as response:
|
||||
# Streaming always returns 200 OK, errors are sent as events
|
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assert response.status_code == 200
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||||
|
||||
# Collect events and look for error event
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||||
error_found = False
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||||
async for line in response.aiter_lines():
|
||||
if not line.strip():
|
||||
continue
|
||||
|
||||
if line.startswith("event: "):
|
||||
event_type = line[7:].strip()
|
||||
if event_type == "error":
|
||||
error_found = True
|
||||
break
|
||||
|
||||
# Should have received an error event
|
||||
assert error_found, "Expected error event in stream"
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.asyncio
|
||||
async def test_streaming_rate_limit_error(async_client: AsyncClient) -> None:
|
||||
"""Test streaming with rate limit error."""
|
||||
request_data = {
|
||||
"model": "lorem-tester",
|
||||
"input": [
|
||||
{"role": "user", "content": "trigger_rate_limit"}
|
||||
],
|
||||
"stream": True
|
||||
}
|
||||
|
||||
async with async_client.stream(
|
||||
"POST",
|
||||
"/v1/responses",
|
||||
json=request_data,
|
||||
timeout=20.0,
|
||||
) as response:
|
||||
# May get error status or error event
|
||||
# Collect all events
|
||||
events = []
|
||||
async for line in response.aiter_lines():
|
||||
if not line.strip():
|
||||
continue
|
||||
|
||||
if line.startswith("event: "):
|
||||
event_type = line[7:].strip()
|
||||
elif line.startswith("data: "):
|
||||
data_str = line[6:].strip()
|
||||
try:
|
||||
data = json.loads(data_str)
|
||||
if event_type:
|
||||
events.append({"event": event_type, "data": data})
|
||||
except json.JSONDecodeError:
|
||||
pass
|
||||
|
||||
# Should either have error status or error event
|
||||
if response.status_code == 200:
|
||||
# Check for error event
|
||||
error_events = [e for e in events if e["event"] == "error"]
|
||||
# May or may not have error event depending on where error occurs
|
||||
# At minimum, should not crash
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.asyncio
|
||||
async def test_streaming_context_overflow_error(async_client: AsyncClient) -> None:
|
||||
"""Test streaming with context overflow error."""
|
||||
request_data = {
|
||||
"model": "lorem-tester",
|
||||
"input": [
|
||||
{"role": "user", "content": "trigger_context_overflow"}
|
||||
],
|
||||
"stream": True
|
||||
}
|
||||
|
||||
async with async_client.stream(
|
||||
"POST",
|
||||
"/v1/responses",
|
||||
json=request_data,
|
||||
timeout=20.0,
|
||||
) as response:
|
||||
# May get error status or error event
|
||||
events = []
|
||||
async for line in response.aiter_lines():
|
||||
if not line.strip():
|
||||
continue
|
||||
|
||||
if line.startswith("event: "):
|
||||
event_type = line[7:].strip()
|
||||
elif line.startswith("data: "):
|
||||
data_str = line[6:].strip()
|
||||
try:
|
||||
data = json.loads(data_str)
|
||||
if event_type:
|
||||
events.append({"event": event_type, "data": data})
|
||||
except json.JSONDecodeError:
|
||||
pass
|
||||
|
||||
# Should not crash
|
||||
assert response.status_code in [200, 400, 500]
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_function_call_output_item(client: TestClient) -> None:
|
||||
"""Test response with function call items."""
|
||||
request_data = {
|
||||
"model": "lorem-tester",
|
||||
"input": [
|
||||
{"role": "user", "content": "Use the search tool"}
|
||||
],
|
||||
"tools": [
|
||||
{
|
||||
"name": "search",
|
||||
"description": "Search for information",
|
||||
"parameters": {}
|
||||
}
|
||||
],
|
||||
"stream": False
|
||||
}
|
||||
|
||||
response = client.post("/v1/responses", json=request_data)
|
||||
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
|
||||
# May or may not have function_call items (random in lorem-tester)
|
||||
# But should successfully handle them if present
|
||||
output_items = data["output"]
|
||||
for item in output_items:
|
||||
assert item["type"] in ["message", "reasoning", "function_call"]
|
||||
if item["type"] == "function_call":
|
||||
assert "name" in item
|
||||
assert "arguments" in item
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_pipeline_prefix_stripping(client: TestClient) -> None:
|
||||
"""Test that pipeline prefixes are stripped from model names."""
|
||||
request_data = {
|
||||
"model": "some_pipeline.lorem-tester",
|
||||
"input": [
|
||||
{"role": "user", "content": "Hello"}
|
||||
],
|
||||
"stream": False
|
||||
}
|
||||
|
||||
response = client.post("/v1/responses", json=request_data)
|
||||
|
||||
# Should successfully strip prefix and find model
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
assert data["status"] == "completed"
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_multiple_pipeline_prefixes(client: TestClient) -> None:
|
||||
"""Test multiple dots in model name (only first is prefix)."""
|
||||
request_data = {
|
||||
"model": "pipeline.sub.lorem-tester",
|
||||
"input": [
|
||||
{"role": "user", "content": "Hello"}
|
||||
],
|
||||
"stream": False
|
||||
}
|
||||
|
||||
response = client.post("/v1/responses", json=request_data)
|
||||
|
||||
# Should strip only first part
|
||||
# "pipeline.sub.lorem-tester" -> "sub.lorem-tester"
|
||||
# This should fail since "sub.lorem-tester" doesn't exist
|
||||
assert response.status_code == 404
|
||||
@@ -0,0 +1,383 @@
|
||||
"""
|
||||
Tests for conversation history management.
|
||||
"""
|
||||
import pytest
|
||||
from fastapi.testclient import TestClient
|
||||
|
||||
from src.responses.history import ConversationHistory
|
||||
from src.responses.context import ContextWindow
|
||||
from src.responses.schemas import ResponseRequest
|
||||
from src.responses import service
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.asyncio
|
||||
async def test_conversation_id_from_metadata():
|
||||
"""Test conversation ID extraction from metadata."""
|
||||
history = ConversationHistory()
|
||||
|
||||
request = ResponseRequest(
|
||||
model="lorem-tester",
|
||||
input=[{"role": "user", "content": "Hello"}],
|
||||
metadata={"conversation_id": "conv_123"}
|
||||
)
|
||||
|
||||
conv_id = await history.get_conversation_id(request)
|
||||
assert conv_id == "conv_123"
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.asyncio
|
||||
async def test_conversation_id_generation():
|
||||
"""Test conversation ID generation from first message."""
|
||||
history = ConversationHistory()
|
||||
|
||||
request = ResponseRequest(
|
||||
model="lorem-tester",
|
||||
input=[{"role": "user", "content": "Hello"}]
|
||||
# No metadata provided
|
||||
)
|
||||
|
||||
conv_id = await history.get_conversation_id(request)
|
||||
assert isinstance(conv_id, str)
|
||||
assert len(conv_id) == 16 # 16 character hex
|
||||
|
||||
# Same first message should generate same ID
|
||||
request2 = ResponseRequest(
|
||||
model="lorem-tester",
|
||||
input=[{"role": "user", "content": "Hello"}]
|
||||
)
|
||||
conv_id2 = await history.get_conversation_id(request2)
|
||||
assert conv_id == conv_id2
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_conversation_history_tracking(client: TestClient):
|
||||
"""Test that conversations are tracked server-side."""
|
||||
# First request with conversation ID
|
||||
request_data = {
|
||||
"model": "lorem-tester",
|
||||
"input": [{"role": "user", "content": "Hello"}],
|
||||
"metadata": {"conversation_id": "test_conv_001"},
|
||||
"stream": False
|
||||
}
|
||||
|
||||
response = client.post("/v1/responses", json=request_data)
|
||||
assert response.status_code == 200
|
||||
|
||||
# Second request with same conversation ID
|
||||
request_data2 = {
|
||||
"model": "lorem-tester",
|
||||
"input": [
|
||||
{"role": "user", "content": "Hello"},
|
||||
{"role": "assistant", "content": "Hi there!"},
|
||||
{"role": "user", "content": "How are you?"}
|
||||
],
|
||||
"metadata": {"conversation_id": "test_conv_001"},
|
||||
"stream": False
|
||||
}
|
||||
|
||||
response2 = client.post("/v1/responses", json=request_data2)
|
||||
assert response2.status_code == 200
|
||||
|
||||
# Both responses should be successful
|
||||
assert response.json()["status"] == "completed"
|
||||
assert response2.json()["status"] == "completed"
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.asyncio
|
||||
async def test_conversation_history_retrieval():
|
||||
"""Test retrieving conversation history."""
|
||||
history = ConversationHistory()
|
||||
|
||||
request = ResponseRequest(
|
||||
model="lorem-tester",
|
||||
input=[{"role": "user", "content": "Test"}],
|
||||
metadata={"conversation_id": "test_retrieve"}
|
||||
)
|
||||
|
||||
conv_id = await history.get_conversation_id(request)
|
||||
|
||||
# Initially empty
|
||||
retrieved = await history.get_history(conv_id)
|
||||
assert len(retrieved) == 0
|
||||
|
||||
# Add mock response
|
||||
from src.responses.schemas import Response, ResponseUsage, MessageOutputItem, OutputTextContent
|
||||
mock_response = Response(
|
||||
id="resp_123",
|
||||
created_at=1234567890,
|
||||
model="lorem-tester",
|
||||
status="completed",
|
||||
output=[
|
||||
MessageOutputItem(
|
||||
id="msg_1",
|
||||
content=[OutputTextContent(text="Test response")]
|
||||
)
|
||||
],
|
||||
usage=ResponseUsage(
|
||||
input_tokens=10,
|
||||
output_tokens=5,
|
||||
reasoning_tokens=0,
|
||||
total_tokens=15
|
||||
)
|
||||
)
|
||||
|
||||
await history.add_response(conv_id, mock_response)
|
||||
|
||||
# Should now have 1 response
|
||||
retrieved = await history.get_history(conv_id)
|
||||
assert len(retrieved) == 1
|
||||
assert retrieved[0].id == "resp_123"
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.asyncio
|
||||
async def test_conversation_history_trimming():
|
||||
"""Test that history is trimmed to max_turns."""
|
||||
history = ConversationHistory(max_turns=3)
|
||||
|
||||
from src.responses.schemas import Response, ResponseUsage, MessageOutputItem, OutputTextContent
|
||||
|
||||
conv_id = "test_trim"
|
||||
|
||||
# Add 5 responses (more than max_turns)
|
||||
for i in range(5):
|
||||
response = Response(
|
||||
id=f"resp_{i}",
|
||||
created_at=1234567890 + i,
|
||||
model="lorem-tester",
|
||||
status="completed",
|
||||
output=[
|
||||
MessageOutputItem(
|
||||
id=f"msg_{i}",
|
||||
content=[OutputTextContent(text=f"Response {i}")]
|
||||
)
|
||||
],
|
||||
usage=ResponseUsage(
|
||||
input_tokens=10,
|
||||
output_tokens=5,
|
||||
reasoning_tokens=0,
|
||||
total_tokens=15
|
||||
)
|
||||
)
|
||||
await history.add_response(conv_id, response)
|
||||
|
||||
# Should only keep last 3
|
||||
retrieved = await history.get_history(conv_id)
|
||||
assert len(retrieved) == 3
|
||||
assert retrieved[0].id == "resp_2" # Oldest kept
|
||||
assert retrieved[1].id == "resp_3"
|
||||
assert retrieved[2].id == "resp_4" # Most recent
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.asyncio
|
||||
async def test_clear_conversation():
|
||||
"""Test clearing conversation history."""
|
||||
history = ConversationHistory()
|
||||
|
||||
from src.responses.schemas import Response, ResponseUsage, MessageOutputItem, OutputTextContent
|
||||
|
||||
conv_id = "test_clear"
|
||||
|
||||
# Add a response
|
||||
response = Response(
|
||||
id="resp_123",
|
||||
created_at=1234567890,
|
||||
model="lorem-tester",
|
||||
status="completed",
|
||||
output=[
|
||||
MessageOutputItem(
|
||||
id="msg_1",
|
||||
content=[OutputTextContent(text="Test")]
|
||||
)
|
||||
],
|
||||
usage=ResponseUsage(
|
||||
input_tokens=10,
|
||||
output_tokens=5,
|
||||
reasoning_tokens=0,
|
||||
total_tokens=15
|
||||
)
|
||||
)
|
||||
await history.add_response(conv_id, response)
|
||||
|
||||
# Verify it exists
|
||||
assert len(await history.get_history(conv_id)) == 1
|
||||
|
||||
# Clear it
|
||||
cleared = await history.clear_conversation(conv_id)
|
||||
assert cleared is True
|
||||
|
||||
# Should be empty now
|
||||
assert len(await history.get_history(conv_id)) == 0
|
||||
|
||||
# Clearing non-existent conversation should return False
|
||||
cleared_again = await history.clear_conversation(conv_id)
|
||||
assert cleared_again is False
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.asyncio
|
||||
async def test_conversation_count():
|
||||
"""Test conversation count tracking."""
|
||||
history = ConversationHistory()
|
||||
|
||||
initial_count = await history.get_conversation_count()
|
||||
|
||||
# Add responses to 3 different conversations
|
||||
from src.responses.schemas import Response, ResponseUsage, MessageOutputItem, OutputTextContent
|
||||
|
||||
for i in range(3):
|
||||
response = Response(
|
||||
id=f"resp_{i}",
|
||||
created_at=1234567890,
|
||||
model="lorem-tester",
|
||||
status="completed",
|
||||
output=[
|
||||
MessageOutputItem(
|
||||
id=f"msg_{i}",
|
||||
content=[OutputTextContent(text="Test")]
|
||||
)
|
||||
],
|
||||
usage=ResponseUsage(
|
||||
input_tokens=10,
|
||||
output_tokens=5,
|
||||
reasoning_tokens=0,
|
||||
total_tokens=15
|
||||
)
|
||||
)
|
||||
await history.add_response(f"conv_{i}", response)
|
||||
|
||||
new_count = await history.get_conversation_count()
|
||||
assert new_count == initial_count + 3
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.asyncio
|
||||
async def test_context_window_token_counting():
|
||||
"""Test token counting in context window."""
|
||||
context = ContextWindow(max_tokens=4096)
|
||||
|
||||
# Test string counting
|
||||
text = "Hello world! " * 100 # ~1200 characters
|
||||
tokens = await context.count_tokens([text])
|
||||
assert tokens > 0
|
||||
assert tokens == len(text) // 4 # Approximate
|
||||
|
||||
# Test dict counting
|
||||
message = {"role": "user", "content": "Test message"}
|
||||
tokens = await context.count_tokens([message])
|
||||
assert tokens > 0
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.asyncio
|
||||
async def test_context_window_trimming():
|
||||
"""Test context window trimming to fit."""
|
||||
context = ContextWindow(max_tokens=100)
|
||||
|
||||
# Create items that exceed limit
|
||||
items = [
|
||||
"This is a long message " * 20, # ~480 chars = ~120 tokens
|
||||
"Another message " * 10, # ~160 chars = ~40 tokens
|
||||
"Short message" # ~13 chars = ~3 tokens
|
||||
]
|
||||
|
||||
# Trim with 10 token reserve
|
||||
trimmed = await context.trim_to_fit(items, reserve_tokens=10)
|
||||
|
||||
# Should keep only items that fit (90 tokens available)
|
||||
# Most recent first: "Short message" (3 tokens) + "Another message..." (40 tokens) = 43 tokens
|
||||
assert len(trimmed) >= 1 # At least the short message
|
||||
assert "Short message" in trimmed # Most recent always kept if it fits
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.asyncio
|
||||
async def test_context_window_fits_check():
|
||||
"""Test checking if items fit in context."""
|
||||
context = ContextWindow(max_tokens=100)
|
||||
|
||||
small_items = ["Hello", "World"]
|
||||
large_items = ["Very long text " * 200] # ~3200 chars = ~800 tokens
|
||||
|
||||
# Small items should fit
|
||||
assert await context.fits_in_context(small_items, reserve_tokens=10) is True
|
||||
|
||||
# Large items should not fit
|
||||
assert await context.fits_in_context(large_items, reserve_tokens=10) is False
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.asyncio
|
||||
async def test_context_window_usage_stats():
|
||||
"""Test context window usage statistics."""
|
||||
context = ContextWindow(max_tokens=1000)
|
||||
|
||||
items = ["Test message " * 50] # ~650 chars = ~162 tokens
|
||||
|
||||
stats = await context.get_usage_stats(items, reserve_tokens=100)
|
||||
|
||||
assert "total_tokens" in stats
|
||||
assert "max_tokens" in stats
|
||||
assert "reserved_tokens" in stats
|
||||
assert "available_tokens" in stats
|
||||
assert "usage_percent" in stats
|
||||
assert "fits" in stats
|
||||
|
||||
assert stats["max_tokens"] == 1000
|
||||
assert stats["reserved_tokens"] == 100
|
||||
assert stats["available_tokens"] == 900
|
||||
assert isinstance(stats["usage_percent"], (int, float))
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.asyncio
|
||||
async def test_service_conversation_helpers():
|
||||
"""Test service helper functions for conversation history."""
|
||||
# Get stats
|
||||
stats = await service.get_conversation_stats()
|
||||
assert "total_conversations" in stats
|
||||
assert "max_turns_per_conversation" in stats
|
||||
|
||||
# Get context window
|
||||
context = service.get_context_window()
|
||||
assert context.max_tokens == 4096
|
||||
|
||||
# Test clearing (should handle non-existent gracefully)
|
||||
result = await service.clear_conversation("non_existent_conv")
|
||||
assert result is False
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.asyncio
|
||||
async def test_streaming_tracks_history(async_client):
|
||||
"""Test that streaming responses also track conversation history."""
|
||||
from httpx import AsyncClient
|
||||
import json
|
||||
|
||||
request_data = {
|
||||
"model": "lorem-tester",
|
||||
"input": [{"role": "user", "content": "Hello"}],
|
||||
"metadata": {"conversation_id": "stream_test_001"},
|
||||
"stream": True
|
||||
}
|
||||
|
||||
async with async_client.stream(
|
||||
"POST",
|
||||
"/v1/responses",
|
||||
json=request_data,
|
||||
timeout=20.0,
|
||||
) as response:
|
||||
assert response.status_code == 200
|
||||
|
||||
# Consume the stream
|
||||
async for line in response.aiter_lines():
|
||||
if line.startswith("data: ") and "[DONE]" not in line:
|
||||
continue
|
||||
|
||||
# History should be tracked
|
||||
# (We can't easily verify this without exposing a GET endpoint,
|
||||
# but the integration is tested in the non-streaming tests)
|
||||
@@ -0,0 +1,281 @@
|
||||
"""
|
||||
Tests for Responses API router.
|
||||
"""
|
||||
|
||||
import json
|
||||
import pytest
|
||||
from fastapi.testclient import TestClient
|
||||
from httpx import AsyncClient
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_create_response_non_streaming(client: TestClient) -> None:
|
||||
"""Test non-streaming response creation."""
|
||||
request_data = {
|
||||
"model": "lorem-tester",
|
||||
"input": [
|
||||
{"role": "user", "content": "Hello, how are you?"}
|
||||
],
|
||||
"stream": False
|
||||
}
|
||||
|
||||
response = client.post("/v1/responses", json=request_data)
|
||||
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
|
||||
# Verify response structure
|
||||
assert "id" in data
|
||||
assert data["object"] == "response"
|
||||
assert "created_at" in data
|
||||
assert data["model"] == "lorem-tester"
|
||||
assert data["status"] == "completed"
|
||||
assert "output" in data
|
||||
assert "usage" in data
|
||||
|
||||
# Verify output array
|
||||
assert isinstance(data["output"], list)
|
||||
assert len(data["output"]) >= 1 # At least message item
|
||||
|
||||
# Verify usage
|
||||
assert data["usage"]["input_tokens"] > 0
|
||||
assert data["usage"]["output_tokens"] > 0
|
||||
assert data["usage"]["total_tokens"] > 0
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_create_response_with_reasoning(client: TestClient) -> None:
|
||||
"""Test response with reasoning enabled."""
|
||||
request_data = {
|
||||
"model": "lorem-tester",
|
||||
"input": [
|
||||
{"role": "user", "content": "Explain something"}
|
||||
],
|
||||
"reasoning": {
|
||||
"effort": "medium",
|
||||
"summary": "auto"
|
||||
},
|
||||
"stream": False
|
||||
}
|
||||
|
||||
response = client.post("/v1/responses", json=request_data)
|
||||
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
|
||||
# Should have reasoning item and message item
|
||||
assert len(data["output"]) >= 2
|
||||
|
||||
# Check for reasoning item
|
||||
reasoning_items = [item for item in data["output"] if item["type"] == "reasoning"]
|
||||
assert len(reasoning_items) >= 1
|
||||
|
||||
reasoning_item = reasoning_items[0]
|
||||
assert "summary" in reasoning_item
|
||||
assert isinstance(reasoning_item["summary"], list)
|
||||
assert len(reasoning_item["summary"]) > 0
|
||||
|
||||
# Check for message item
|
||||
message_items = [item for item in data["output"] if item["type"] == "message"]
|
||||
assert len(message_items) >= 1
|
||||
|
||||
# Verify reasoning tokens counted
|
||||
assert data["usage"]["reasoning_tokens"] > 0
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_create_response_with_tools(client: TestClient) -> None:
|
||||
"""Test response with tools available."""
|
||||
request_data = {
|
||||
"model": "lorem-tester",
|
||||
"input": [
|
||||
{"role": "user", "content": "Use a tool to help"}
|
||||
],
|
||||
"tools": [
|
||||
{
|
||||
"name": "search_knowledge",
|
||||
"description": "Search knowledge base",
|
||||
"parameters": {}
|
||||
}
|
||||
],
|
||||
"stream": False
|
||||
}
|
||||
|
||||
response = client.post("/v1/responses", json=request_data)
|
||||
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
|
||||
# May or may not have function_call items (randomized in lorem-tester)
|
||||
# But should always have message item
|
||||
message_items = [item for item in data["output"] if item["type"] == "message"]
|
||||
assert len(message_items) >= 1
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_create_response_invalid_model(client: TestClient) -> None:
|
||||
"""Test response with non-existent model."""
|
||||
request_data = {
|
||||
"model": "nonexistent-model",
|
||||
"input": [
|
||||
{"role": "user", "content": "Hello"}
|
||||
],
|
||||
"stream": False
|
||||
}
|
||||
|
||||
response = client.post("/v1/responses", json=request_data)
|
||||
|
||||
assert response.status_code == 404
|
||||
data = response.json()
|
||||
assert "detail" in data
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_create_response_validation_error(client: TestClient) -> None:
|
||||
"""Test response with invalid request data."""
|
||||
# Missing required 'model' field
|
||||
request_data = {
|
||||
"input": [
|
||||
{"role": "user", "content": "Hello"}
|
||||
]
|
||||
}
|
||||
|
||||
response = client.post("/v1/responses", json=request_data)
|
||||
|
||||
assert response.status_code == 422
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.asyncio
|
||||
async def test_create_response_streaming(async_client: AsyncClient) -> None:
|
||||
"""Test streaming response creation."""
|
||||
request_data = {
|
||||
"model": "lorem-tester",
|
||||
"input": [
|
||||
{"role": "user", "content": "Hello"}
|
||||
],
|
||||
"stream": True
|
||||
}
|
||||
|
||||
async with async_client.stream(
|
||||
"POST",
|
||||
"/v1/responses",
|
||||
json=request_data,
|
||||
timeout=20.0,
|
||||
) as response:
|
||||
assert response.status_code == 200
|
||||
assert response.headers["content-type"] == "text/event-stream; charset=utf-8"
|
||||
|
||||
events = []
|
||||
async for line in response.aiter_lines():
|
||||
if not line.strip():
|
||||
continue
|
||||
|
||||
# Parse SSE format: "event: event_type" and "data: {json}"
|
||||
if line.startswith("event: "):
|
||||
event_type = line[7:].strip()
|
||||
elif line.startswith("data: "):
|
||||
data_str = line[6:].strip()
|
||||
try:
|
||||
data = json.loads(data_str)
|
||||
events.append({"event": event_type, "data": data})
|
||||
except json.JSONDecodeError:
|
||||
pass # Skip malformed data
|
||||
|
||||
# Should have multiple events
|
||||
assert len(events) > 0
|
||||
|
||||
# Should have response.done event as last event
|
||||
assert events[-1]["event"] == "response.done"
|
||||
|
||||
# response.done should have complete response
|
||||
done_data = events[-1]["data"]
|
||||
assert "response" in done_data
|
||||
assert done_data["response"]["status"] == "completed"
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
@pytest.mark.asyncio
|
||||
async def test_create_response_streaming_with_reasoning(async_client: AsyncClient) -> None:
|
||||
"""Test streaming response with reasoning."""
|
||||
request_data = {
|
||||
"model": "lorem-tester",
|
||||
"input": [
|
||||
{"role": "user", "content": "Explain"}
|
||||
],
|
||||
"reasoning": {
|
||||
"effort": "medium",
|
||||
"summary": "auto"
|
||||
},
|
||||
"stream": True
|
||||
}
|
||||
|
||||
async with async_client.stream(
|
||||
"POST",
|
||||
"/v1/responses",
|
||||
json=request_data,
|
||||
timeout=20.0,
|
||||
) as response:
|
||||
assert response.status_code == 200
|
||||
|
||||
events = []
|
||||
event_type = None
|
||||
|
||||
async for line in response.aiter_lines():
|
||||
if not line.strip():
|
||||
continue
|
||||
|
||||
if line.startswith("event: "):
|
||||
event_type = line[7:].strip()
|
||||
elif line.startswith("data: "):
|
||||
data_str = line[6:].strip()
|
||||
try:
|
||||
data = json.loads(data_str)
|
||||
if event_type:
|
||||
events.append({"event": event_type, "data": data})
|
||||
except json.JSONDecodeError:
|
||||
pass
|
||||
|
||||
# Should have reasoning events
|
||||
reasoning_events = [
|
||||
e for e in events
|
||||
if e["event"] == "response.reasoning_summary_text.delta"
|
||||
]
|
||||
assert len(reasoning_events) > 0
|
||||
|
||||
# Should have output text events
|
||||
output_events = [
|
||||
e for e in events
|
||||
if e["event"] == "response.output_text.delta"
|
||||
]
|
||||
assert len(output_events) > 0
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_create_response_temperature_parameter(client: TestClient) -> None:
|
||||
"""Test temperature parameter handling."""
|
||||
request_data = {
|
||||
"model": "lorem-tester",
|
||||
"input": [{"role": "user", "content": "Test"}],
|
||||
"temperature": 0.5,
|
||||
"stream": False
|
||||
}
|
||||
|
||||
response = client.post("/v1/responses", json=request_data)
|
||||
|
||||
assert response.status_code == 200
|
||||
|
||||
|
||||
@pytest.mark.unit
|
||||
def test_create_response_max_tokens_parameter(client: TestClient) -> None:
|
||||
"""Test max_output_tokens parameter handling."""
|
||||
request_data = {
|
||||
"model": "lorem-tester",
|
||||
"input": [{"role": "user", "content": "Test"}],
|
||||
"max_output_tokens": 100,
|
||||
"stream": False
|
||||
}
|
||||
|
||||
response = client.post("/v1/responses", json=request_data)
|
||||
|
||||
assert response.status_code == 200
|
||||
Reference in New Issue
Block a user