33488fd634
Backend: - FastAPI WebSocket /ws endpoint with streaming via LangGraph astream - LangGraph Supervisor connecting 3 mock agents (order_lookup, order_actions, fallback) - YAML Agent Registry with Pydantic validation and immutable configs - PostgresSaver checkpoint persistence via langgraph-checkpoint-postgres - Session TTL with 30-min sliding window and interrupt extension - LLM provider abstraction (Anthropic/OpenAI/Google) - Token usage + cost tracking callback handler - Input validation: message size cap, thread_id format, content length - Security: no hardcoded defaults, startup API key validation, no input reflection Frontend: - React 19 + TypeScript + Vite chat UI - WebSocket hook with reconnect + exponential backoff - Streaming token display with agent attribution - Interrupt approval/reject UI for write operations - Collapsible tool call viewer Testing: - 87 unit tests, 87% coverage (exceeds 80% requirement) - Ruff lint + format clean Infrastructure: - Docker Compose (PostgreSQL 16 + backend) - pyproject.toml with full dependency management
42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
"""Tests for app.llm module."""
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from __future__ import annotations
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import pytest
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from app.config import Settings
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from app.llm import create_llm
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@pytest.mark.unit
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class TestCreateLlm:
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def test_anthropic_provider(self) -> None:
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settings = Settings(
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database_url="postgresql://x:x@localhost/db",
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llm_provider="anthropic",
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llm_model="claude-sonnet-4-6",
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anthropic_api_key="test-key",
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)
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llm = create_llm(settings)
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assert type(llm).__name__ == "ChatAnthropic"
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def test_openai_provider(self) -> None:
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settings = Settings(
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database_url="postgresql://x:x@localhost/db",
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llm_provider="openai",
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llm_model="gpt-4o",
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openai_api_key="sk-test",
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)
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llm = create_llm(settings)
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assert type(llm).__name__ == "ChatOpenAI"
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def test_google_provider(self) -> None:
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settings = Settings(
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database_url="postgresql://x:x@localhost/db",
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llm_provider="google",
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llm_model="gemini-pro",
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google_api_key="test-key",
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)
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llm = create_llm(settings)
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assert type(llm).__name__ == "ChatGoogleGenerativeAI"
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