pentest-ai

Issue #12 follow-up. A 0.16.1 user (poeylizn) was pointing ptai at DeepSeek deployed in the cloud and still hit a failure because the OpenAI provider hardcoded gpt-4o regardless of what their endpoint actually served. Two changes plus a new docs page close the loop.

Fixed

• PENTEST_AI_MODEL env var now honoured across all four providers (engine/llm/factory.py). Previously only the LiteLLM path read it; the openai / anthropic / ollama paths used hardcoded defaults. A user with OPENAI_BASE_URL=https://api.deepseek.com/v1 and a DeepSeek key got a 404 because the factory still asked for gpt-4o. Now setting PENTEST_AI_MODEL=deepseek-chat (or any model your endpoint actually serves) routes through cleanly. Same env var works for pinning Claude / Llama / Qwen variants on the other paths. Closes the silent-mismatch class for the OpenAI-compatible-endpoint case.

Added

• docs/llm-providers.md — concrete configuration recipes for every supported path: Anthropic, OpenAI, OpenAI-compatible third-parties (DeepSeek cloud, Groq, Together AI, local llama.cpp/vLLM/LM Studio), Ollama, and LiteLLM (Azure, Bedrock, Vertex, OpenRouter). Each recipe is a copy-pasteable env block. Also covers troubleshooting (gpt-4o 404s, Ollama hangs, 401s, LiteLLM ImportErrors) and the --no-llm escape hatch. Linked from the README's Path 3 section.