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Complete AI-powered personal brand automation for Sami Assiri.\n\n7 agents: LinkedIn, Email, Social Media, WhatsApp, CV Optimizer, Content Strategist, Opportunity Scout.\nInfra: FastAPI + APScheduler + Docker + Ollama/Groq LLM + GitHub Pages landing page.\n83 files, ~10K lines. Cost: $0-5/month.
35 lines
1.0 KiB
Python
35 lines
1.0 KiB
Python
"""Tests for LLM client."""
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
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def test_llm_client_init():
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"""LLM client should initialize with defaults."""
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from llm.client import LLMClient
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client = LLMClient()
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assert client.ollama_model == "qwen2.5:7b"
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assert client.groq_model == "llama-3.1-70b-versatile"
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assert client.openai_model == "gpt-4o-mini"
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def test_llm_response_dataclass():
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"""LLMResponse should hold data correctly."""
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from llm.client import LLMResponse
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resp = LLMResponse(text="Hello", model="test", provider="ollama", tokens_used=10)
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assert resp.text == "Hello"
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assert resp.provider == "ollama"
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assert resp.tokens_used == 10
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def test_rate_limiter():
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"""Rate limiter should track and enforce limits."""
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from utils.rate_limiter import RateLimiter
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rl = RateLimiter()
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# LinkedIn default is 50/day
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assert rl.remaining("linkedin") == 50
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assert rl.allow("linkedin") is True
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assert rl.remaining("linkedin") == 49
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