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llm 0.33

Blog · Watch/Read · (gathered 2026-08-29)

  • llm 0.33 introduces several enhancements to the llm command-line tool and Python library, including dependency upgrades and new user-facing features.
  • The llm embed and llm embed-multi commands, along with their Python API methods, now accept a --key argument for specifying per-call keys for embedding plugins, aligning with how regular LLM models handle keys.
  • Users can now repeat the llm prompt -t/--template option to combine multiple templates, enabling a pattern where model configurations and options are packaged in one template and combined with prompts from another.
  • Reasoning-capable Responses API models now support a reasoning_summary option (with auto, concise, or detailed values) via llm openai endpoint --responses, which is particularly useful for evaluating different models that emulate the OpenAI Responses API.