0.8

• The output format for llm logs has changed. Previously it was JSON - it's now a much more readable Markdown format suitable for pasting into other documents. #160
  • The new llm logs --json option can be used to get the old JSON format.
  • Pass llm logs --conversation ID or --cid ID to see the full logs for a specific conversation.
• You can now combine piped input and a prompt in a single command: cat script.py | llm 'explain this code'. This works even for models that do not support system prompts. #153
• Additional OpenAI-compatible models can now be configured with custom HTTP headers. This enables platforms such as openrouter.ai to be used with LLM, which can provide Claude access even without an Anthropic API key.
• Keys set in keys.json are now used in preference to environment variables. #158
• The documentation now includes a plugin directory listing all available plugins for LLM. #173
• New related tools section in the documentation describing ttok, strip-tags and symbex. #111
• The llm models, llm aliases and llm templates commands now default to running the same command as llm models list and llm aliases list and llm templates list. #167
• New llm keys (aka llm keys list) command for listing the names of all configured keys. #174
• Two new Python API functions, llm.set_alias(alias, model_id) and llm.remove_alias(alias) can be used to configure aliases from within Python code. #154
• LLM is now compatible with both Pydantic 1 and Pydantic 2. This means you can install llm as a Python dependency in a project that depends on Pydantic 1 without running into dependency conflicts. Thanks, Chris Mungall. #147
• llm.get_model(model_id) is now documented as raising llm.UnknownModelError if the requested model does not exist. #155