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honcho/tests/live_llm/README.md

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Live LLM Tests

These tests call real provider APIs and are disabled by default.

Run them with:

uv run pytest tests/live_llm -n 0 --live-llm --no-header -q

Required API key env vars:

  • LLM_ANTHROPIC_API_KEY
  • LLM_OPENAI_API_KEY
  • LLM_GEMINI_API_KEY

Model-family env vars:

  • LIVE_LLM_ANTHROPIC_45_PLUS_MODELS
  • LIVE_LLM_OPENAI_GPT4_MODELS
  • LIVE_LLM_OPENAI_GPT5_MODELS
  • LIVE_LLM_OPENAI_OPENROUTER_NON_REASONING_MODELS (OpenAI-transport → OpenRouter-served non-reasoning models)
  • LIVE_LLM_GEMINI_25_MODELS
  • LIVE_LLM_GEMINI_30_MODELS
  • LIVE_LLM_GEMINI_31_MODELS

Each model env var accepts a comma-separated list of bare model ids or provider-qualified ids.

Examples:

export LIVE_LLM_ANTHROPIC_45_PLUS_MODELS="claude-sonnet-4-5,claude-sonnet-4-6"
export LIVE_LLM_OPENAI_GPT4_MODELS="gpt-4.1"
export LIVE_LLM_OPENAI_GPT5_MODELS="gpt-5,gpt-5.4,gpt-5.4-mini"
export LIVE_LLM_OPENAI_OPENROUTER_NON_REASONING_MODELS="inception/mercury-2"
export LIVE_LLM_GEMINI_25_MODELS="gemini-2.5-flash,gemini-2.5-pro"
export LIVE_LLM_GEMINI_30_MODELS="gemini-3-flash-preview"
export LIVE_LLM_GEMINI_31_MODELS="gemini-3.1-pro-preview"

OpenRouter-routed models require additional env for the proxy endpoint:

export OPENROUTER_API_KEY="sk-or-v1-..."
# Per-feature config example:
#   DERIVER_MODEL_CONFIG__TRANSPORT=openai
#   DERIVER_MODEL_CONFIG__MODEL=inception/mercury-2
#   DERIVER_MODEL_CONFIG__OVERRIDES__BASE_URL=https://openrouter.ai/api/v1
#   DERIVER_MODEL_CONFIG__OVERRIDES__API_KEY_ENV=OPENROUTER_API_KEY

Coverage by provider:

  • Anthropic: structured output path, prompt caching metrics, thinking blocks, multi-turn tool replay
  • OpenAI GPT-4 class: structured outputs, prompt caching
  • OpenAI GPT-5 class (incl. gpt-5.x point-releases): structured outputs, prompt caching, reasoning_effort, max_completion_tokens routing
  • OpenAI transport → OpenRouter non-reasoning models (e.g. inception/mercury-2): non-chat / diffusion architectures must stay on max_tokens, no reasoning_effort, tool-calling parameter-schema compatibility is the canary for exotic OR-served providers
  • Gemini 2.5/3.0 classes: structured outputs, cached-content reuse, thought signatures, multi-turn tool replay
  • Gemini 3.1 class: thinking and tool replay coverage by default; structured-output/caching coverage should only be added once Google documents support for that path