base on Access large language models from the command-line <!-- [[[cog # README.md is generated from docs/index.md using sphinx_markdown_builder import tempfile import subprocess from pathlib import Path readme_markdown = '' with tempfile.TemporaryDirectory() as tmpdir: tmp_path = Path(tmpdir) # Run: sphinx-build -M markdown ./docs ./tmpdir subprocess.run([ "sphinx-build", "-M", "markdown", "./docs", str(tmp_path) ], check=True) index_file = tmp_path / "markdown" / "index.md" readme_markdown = index_file.read_text(encoding="utf-8") cog.out(readme_markdown) ]]] --> # LLM [](https://github.com/simonw/llm) [](https://pypi.org/project/llm/) [](https://llm.datasette.io/en/stable/changelog.html) [](https://github.com/simonw/llm/actions?query=workflow%3ATest) [](https://github.com/simonw/llm/blob/main/LICENSE) [](https://datasette.io/discord-llm) [](https://formulae.brew.sh/formula/llm) A CLI tool and Python library for interacting with **OpenAI**, **Anthropic’s Claude**, **Google’s Gemini**, **Meta’s Llama** and dozens of other Large Language Models, both via remote APIs and with models that can be installed and run on your own machine. Watch **[Language models on the command-line](https://www.youtube.com/watch?v=QUXQNi6jQ30)** on YouTube for a demo or [read the accompanying detailed notes](https://simonwillison.net/2024/Jun/17/cli-language-models/). With LLM you can: - [Run prompts from the command-line](https://llm.datasette.io/en/stable/usage.html#usage-executing-prompts) - [Store prompts and responses in SQLite](https://llm.datasette.io/en/stable/logging.html#logging) - [Generate and store embeddings](https://llm.datasette.io/en/stable/embeddings/index.html#embeddings) - [Extract structured content from text and images](https://llm.datasette.io/en/stable/schemas.html#schemas) - [Grant models the ability to execute tools](https://llm.datasette.io/en/stable/tools.html#tools) - … and much, much more ## Quick start First, install LLM using `pip` or Homebrew or `pipx` or `uv`: ```bash pip install llm ``` Or with Homebrew (see [warning note](https://llm.datasette.io/en/stable/setup.html#homebrew-warning)): ```bash brew install llm ``` Or with [pipx](https://pypa.github.io/pipx/): ```bash pipx install llm ``` Or with [uv](https://docs.astral.sh/uv/guides/tools/) ```bash uv tool install llm ``` If you have an [OpenAI API key](https://platform.openai.com/api-keys) key you can run this: ```bash # Paste your OpenAI API key into this llm keys set openai # Run a prompt (with the default gpt-4o-mini model) llm "Ten fun names for a pet pelican" # Extract text from an image llm "extract text" -a scanned-document.jpg # Use a system prompt against a file cat myfile.py | llm -s "Explain this code" ``` Run prompts against [Gemini](https://aistudio.google.com/apikey) or [Anthropic](https://console.anthropic.com/) with their respective plugins: ```bash llm install llm-gemini llm keys set gemini # Paste Gemini API key here llm -m gemini-2.0-flash 'Tell me fun facts about Mountain View' llm install llm-anthropic llm keys set anthropic # Paste Anthropic API key here llm -m claude-4-opus 'Impress me with wild facts about turnips' ``` You can also [install a plugin](https://llm.datasette.io/en/stable/plugins/installing-plugins.html#installing-plugins) to access models that can run on your local device. If you use [Ollama](https://ollama.com/): ```bash # Install the plugin llm install llm-ollama # Download and run a prompt against the Orca Mini 7B model ollama pull llama3.2:latest llm -m llama3.2:latest 'What is the capital of France?' ``` To start [an interactive chat](https://llm.datasette.io/en/stable/usage.html#usage-chat) with a model, use `llm chat`: ```bash llm chat -m gpt-4.1 ``` ```default Chatting with gpt-4.1 Type 'exit' or 'quit' to exit Type '!multi' to enter multiple lines, then '!end' to finish Type '!edit' to open your default editor and modify the prompt. Type '!fragment <my_fragment> [<another_fragment> ...]' to insert one or more fragments > Tell me a joke about a pelican Why don't pelicans like to tip waiters? Because they always have a big bill! ``` More background on this project: - [llm, ttok and strip-tags—CLI tools for working with ChatGPT and other LLMs](https://simonwillison.net/2023/May/18/cli-tools-for-llms/) - [The LLM CLI tool now supports self-hosted language models via plugins](https://simonwillison.net/2023/Jul/12/llm/) - [LLM now provides tools for working with embeddings](https://simonwillison.net/2023/Sep/4/llm-embeddings/) - [Build an image search engine with llm-clip, chat with models with llm chat](https://simonwillison.net/2023/Sep/12/llm-clip-and-chat/) - [You can now run prompts against images, audio and video in your terminal using LLM](https://simonwillison.net/2024/Oct/29/llm-multi-modal/) - [Structured data extraction from unstructured content using LLM schemas](https://simonwillison.net/2025/Feb/28/llm-schemas/) - [Long context support in LLM 0.24 using fragments and template plugins](https://simonwillison.net/2025/Apr/7/long-context-llm/) See also [the llm tag](https://simonwillison.net/tags/llm/) on my blog. ## Contents * [Setup](https://llm.datasette.io/en/stable/setup.html) * [Installation](https://llm.datasette.io/en/stable/setup.html#installation) * [Upgrading to the latest version](https://llm.datasette.io/en/stable/setup.html#upgrading-to-the-latest-version) * [Using uvx](https://llm.datasette.io/en/stable/setup.html#using-uvx) * [A note about Homebrew and PyTorch](https://llm.datasette.io/en/stable/setup.html#a-note-about-homebrew-and-pytorch) * [Installing plugins](https://llm.datasette.io/en/stable/setup.html#installing-plugins) * [API key management](https://llm.datasette.io/en/stable/setup.html#api-key-management) * [Saving and using stored keys](https://llm.datasette.io/en/stable/setup.html#saving-and-using-stored-keys) * [Passing keys using the –key option](https://llm.datasette.io/en/stable/setup.html#passing-keys-using-the-key-option) * [Keys in environment variables](https://llm.datasette.io/en/stable/setup.html#keys-in-environment-variables) * [Configuration](https://llm.datasette.io/en/stable/setup.html#configuration) * [Setting a custom default model](https://llm.datasette.io/en/stable/setup.html#setting-a-custom-default-model) * [Setting a custom directory location](https://llm.datasette.io/en/stable/setup.html#setting-a-custom-directory-location) * [Turning SQLite logging on and off](https://llm.datasette.io/en/stable/setup.html#turning-sqlite-logging-on-and-off) * [Usage](https://llm.datasette.io/en/stable/usage.html) * [Executing a prompt](https://llm.datasette.io/en/stable/usage.html#executing-a-prompt) * [Model options](https://llm.datasette.io/en/stable/usage.html#model-options) * [Attachments](https://llm.datasette.io/en/stable/usage.html#attachments) * [System prompts](https://llm.datasette.io/en/stable/usage.html#system-prompts) * [Tools](https://llm.datasette.io/en/stable/usage.html#tools) * [Extracting fenced code blocks](https://llm.datasette.io/en/stable/usage.html#extracting-fenced-code-blocks) * [Schemas](https://llm.datasette.io/en/stable/usage.html#schemas) * [Fragments](https://llm.datasette.io/en/stable/usage.html#fragments) * [Continuing a conversation](https://llm.datasette.io/en/stable/usage.html#continuing-a-conversation) * [Tips for using LLM with Bash or Zsh](https://llm.datasette.io/en/stable/usage.html#tips-for-using-llm-with-bash-or-zsh) * [Completion prompts](https://llm.datasette.io/en/stable/usage.html#completion-prompts) * [Starting an interactive chat](https://llm.datasette.io/en/stable/usage.html#starting-an-interactive-chat) * [Listing available models](https://llm.datasette.io/en/stable/usage.html#listing-available-models) * [Setting default options for models](https://llm.datasette.io/en/stable/usage.html#setting-default-options-for-models) * [OpenAI models](https://llm.datasette.io/en/stable/openai-models.html) * [Configuration](https://llm.datasette.io/en/stable/openai-models.html#configuration) * [OpenAI language models](https://llm.datasette.io/en/stable/openai-models.html#openai-language-models) * [Model features](https://llm.datasette.io/en/stable/openai-models.html#model-features) * [OpenAI embedding models](https://llm.datasette.io/en/stable/openai-models.html#openai-embedding-models) * [OpenAI completion models](https://llm.datasette.io/en/stable/openai-models.html#openai-completion-models) * [Adding more OpenAI models](https://llm.datasette.io/en/stable/openai-models.html#adding-more-openai-models) * [Other models](https://llm.datasette.io/en/stable/other-models.html) * [Installing and using a local model](https://llm.datasette.io/en/stable/other-models.html#installing-and-using-a-local-model) * [OpenAI-compatible models](https://llm.datasette.io/en/stable/other-models.html#openai-compatible-models) * [Extra HTTP headers](https://llm.datasette.io/en/stable/other-models.html#extra-http-headers) * [Tools](https://llm.datasette.io/en/stable/tools.html) * [How tools work](https://llm.datasette.io/en/stable/tools.html#how-tools-work) * [Trying out tools](https://llm.datasette.io/en/stable/tools.html#trying-out-tools) * [LLM’s implementation of tools](https://llm.datasette.io/en/stable/tools.html#llm-s-implementation-of-tools) * [Default tools](https://llm.datasette.io/en/stable/tools.html#default-tools) * [Tips for implementing tools](https://llm.datasette.io/en/stable/tools.html#tips-for-implementing-tools) * [Schemas](https://llm.datasette.io/en/stable/schemas.html) * [Schemas tutorial](https://llm.datasette.io/en/stable/schemas.html#schemas-tutorial) * [Getting started with dogs](https://llm.datasette.io/en/stable/schemas.html#getting-started-with-dogs) * [Extracting people from a news articles](https://llm.datasette.io/en/stable/schemas.html#extracting-people-from-a-news-articles) * [Using JSON schemas](https://llm.datasette.io/en/stable/schemas.html#using-json-schemas) * [Ways to specify a schema](https://llm.datasette.io/en/stable/schemas.html#ways-to-specify-a-schema) * [Concise LLM schema syntax](https://llm.datasette.io/en/stable/schemas.html#concise-llm-schema-syntax) * [Saving reusable schemas in templates](https://llm.datasette.io/en/stable/schemas.html#saving-reusable-schemas-in-templates) * [Browsing logged JSON objects created using schemas](https://llm.datasette.io/en/stable/schemas.html#browsing-logged-json-objects-created-using-schemas) * [Templates](https://llm.datasette.io/en/stable/templates.html) * [Getting started with <code>–save</code>](https://llm.datasette.io/en/stable/templates.html#getting-started-with-save) * [Using a template](https://llm.datasette.io/en/stable/templates.html#using-a-template) * [Listing available templates](https://llm.datasette.io/en/stable/templates.html#listing-available-templates) * [Templates as YAML files](https://llm.datasette.io/en/stable/templates.html#templates-as-yaml-files) * [System prompts](https://llm.datasette.io/en/stable/templates.html#system-prompts) * [Fragments](https://llm.datasette.io/en/stable/templates.html#fragments) * [Options](https://llm.datasette.io/en/stable/templates.html#options) * [Tools](https://llm.datasette.io/en/stable/templates.html#tools) * [Schemas](https://llm.datasette.io/en/stable/templates.html#schemas) * [Additional template variables](https://llm.datasette.io/en/stable/templates.html#additional-template-variables) * [Specifying default parameters](https://llm.datasette.io/en/stable/templates.html#specifying-default-parameters) * [Configuring code extraction](https://llm.datasette.io/en/stable/templates.html#configuring-code-extraction) * [Setting a default model for a template](https://llm.datasette.io/en/stable/templates.html#setting-a-default-model-for-a-template) * [Template loaders from plugins](https://llm.datasette.io/en/stable/templates.html#template-loaders-from-plugins) * [Fragments](https://llm.datasette.io/en/stable/fragments.html) * [Using fragments in a prompt](https://llm.datasette.io/en/stable/fragments.html#using-fragments-in-a-prompt) * [Using fragments in chat](https://llm.datasette.io/en/stable/fragments.html#using-fragments-in-chat) * [Browsing fragments](https://llm.datasette.io/en/stable/fragments.html#browsing-fragments) * [Setting aliases for fragments](https://llm.datasette.io/en/stable/fragments.html#setting-aliases-for-fragments) * [Viewing fragments in your logs](https://llm.datasette.io/en/stable/fragments.html#viewing-fragments-in-your-logs) * [Using fragments from plugins](https://llm.datasette.io/en/stable/fragments.html#using-fragments-from-plugins) * [Listing available fragment prefixes](https://llm.datasette.io/en/stable/fragments.html#listing-available-fragment-prefixes) * [Model aliases](https://llm.datasette.io/en/stable/aliases.html) * [Listing aliases](https://llm.datasette.io/en/stable/aliases.html#listing-aliases) * [Adding a new alias](https://llm.datasette.io/en/stable/aliases.html#adding-a-new-alias) * [Removing an alias](https://llm.datasette.io/en/stable/aliases.html#removing-an-alias) * [Viewing the aliases file](https://llm.datasette.io/en/stable/aliases.html#viewing-the-aliases-file) * [Embeddings](https://llm.datasette.io/en/stable/embeddings/index.html) * [Embedding with the CLI](https://llm.datasette.io/en/stable/embeddings/cli.html) * [llm embed](https://llm.datasette.io/en/stable/embeddings/cli.html#llm-embed) * [llm embed-multi](https://llm.datasette.io/en/stable/embeddings/cli.html#llm-embed-multi) * [llm similar](https://llm.datasette.io/en/stable/embeddings/cli.html#llm-similar) * [llm embed-models](https://llm.datasette.io/en/stable/embeddings/cli.html#llm-embed-models) * [llm collections list](https://llm.datasette.io/en/stable/embeddings/cli.html#llm-collections-list) * [llm collections delete](https://llm.datasette.io/en/stable/embeddings/cli.html#llm-collections-delete) * [Using embeddings from Python](https://llm.datasette.io/en/stable/embeddings/python-api.html) * [Working with collections](https://llm.datasette.io/en/stable/embeddings/python-api.html#working-with-collections) * [Retrieving similar items](https://llm.datasette.io/en/stable/embeddings/python-api.html#retrieving-similar-items) * [SQL schema](https://llm.datasette.io/en/stable/embeddings/python-api.html#sql-schema) * [Writing plugins to add new embedding models](https://llm.datasette.io/en/stable/embeddings/writing-plugins.html) * [Embedding binary content](https://llm.datasette.io/en/stable/embeddings/writing-plugins.html#embedding-binary-content) * [Embedding storage format](https://llm.datasette.io/en/stable/embeddings/storage.html) * [Plugins](https://llm.datasette.io/en/stable/plugins/index.html) * [Installing plugins](https://llm.datasette.io/en/stable/plugins/installing-plugins.html) * [Listing installed plugins](https://llm.datasette.io/en/stable/plugins/installing-plugins.html#listing-installed-plugins) * [Running with a subset of plugins](https://llm.datasette.io/en/stable/plugins/installing-plugins.html#running-with-a-subset-of-plugins) * [Plugin directory](https://llm.datasette.io/en/stable/plugins/directory.html) * [Local models](https://llm.datasette.io/en/stable/plugins/directory.html#local-models) * [Remote APIs](https://llm.datasette.io/en/stable/plugins/directory.html#remote-apis) * [Tools](https://llm.datasette.io/en/stable/plugins/directory.html#tools) * [Fragments and template loaders](https://llm.datasette.io/en/stable/plugins/directory.html#fragments-and-template-loaders) * [Embedding models](https://llm.datasette.io/en/stable/plugins/directory.html#embedding-models) * [Extra commands](https://llm.datasette.io/en/stable/plugins/directory.html#extra-commands) * [Just for fun](https://llm.datasette.io/en/stable/plugins/directory.html#just-for-fun) * [Plugin hooks](https://llm.datasette.io/en/stable/plugins/plugin-hooks.html) * [register_commands(cli)](https://llm.datasette.io/en/stable/plugins/plugin-hooks.html#register-commands-cli) * [register_models(register)](https://llm.datasette.io/en/stable/plugins/plugin-hooks.html#register-models-register) * [register_embedding_models(register)](https://llm.datasette.io/en/stable/plugins/plugin-hooks.html#register-embedding-models-register) * [register_tools(register)](https://llm.datasette.io/en/stable/plugins/plugin-hooks.html#register-tools-register) * [register_template_loaders(register)](https://llm.datasette.io/en/stable/plugins/plugin-hooks.html#register-template-loaders-register) * [register_fragment_loaders(register)](https://llm.datasette.io/en/stable/plugins/plugin-hooks.html#register-fragment-loaders-register) * [Developing a model plugin](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html) * [The initial structure of the plugin](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#the-initial-structure-of-the-plugin) * [Installing your plugin to try it out](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#installing-your-plugin-to-try-it-out) * [Building the Markov chain](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#building-the-markov-chain) * [Executing the Markov chain](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#executing-the-markov-chain) * [Adding that to the plugin](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#adding-that-to-the-plugin) * [Understanding execute()](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#understanding-execute) * [Prompts and responses are logged to the database](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#prompts-and-responses-are-logged-to-the-database) * [Adding options](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#adding-options) * [Distributing your plugin](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#distributing-your-plugin) * [GitHub repositories](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#github-repositories) * [Publishing plugins to PyPI](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#publishing-plugins-to-pypi) * [Adding metadata](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#adding-metadata) * [What to do if it breaks](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#what-to-do-if-it-breaks) * [Advanced model plugins](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html) * [Tip: lazily load expensive dependencies](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#tip-lazily-load-expensive-dependencies) * [Models that accept API keys](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#models-that-accept-api-keys) * [Async models](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#async-models) * [Supporting schemas](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#supporting-schemas) * [Supporting tools](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#supporting-tools) * [Attachments for multi-modal models](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#attachments-for-multi-modal-models) * [Tracking token usage](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#tracking-token-usage) * [Tracking resolved model names](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#tracking-resolved-model-names) * [LLM_RAISE_ERRORS](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#llm-raise-errors) * [Utility functions for plugins](https://llm.datasette.io/en/stable/plugins/plugin-utilities.html) * [llm.get_key()](https://llm.datasette.io/en/stable/plugins/plugin-utilities.html#llm-get-key) * [llm.user_dir()](https://llm.datasette.io/en/stable/plugins/plugin-utilities.html#llm-user-dir) * [llm.ModelError](https://llm.datasette.io/en/stable/plugins/plugin-utilities.html#llm-modelerror) * [Response.fake()](https://llm.datasette.io/en/stable/plugins/plugin-utilities.html#response-fake) * [Python API](https://llm.datasette.io/en/stable/python-api.html) * [Basic prompt execution](https://llm.datasette.io/en/stable/python-api.html#basic-prompt-execution) * [System prompts](https://llm.datasette.io/en/stable/python-api.html#system-prompts) * [Attachments](https://llm.datasette.io/en/stable/python-api.html#attachments) * [Tools](https://llm.datasette.io/en/stable/python-api.html#tools) * [Schemas](https://llm.datasette.io/en/stable/python-api.html#schemas) * [Fragments](https://llm.datasette.io/en/stable/python-api.html#fragments) * [Model options](https://llm.datasette.io/en/stable/python-api.html#model-options) * [Passing an API key](https://llm.datasette.io/en/stable/python-api.html#passing-an-api-key) * [Models from plugins](https://llm.datasette.io/en/stable/python-api.html#models-from-plugins) * [Accessing the underlying JSON](https://llm.datasette.io/en/stable/python-api.html#accessing-the-underlying-json) * [Token usage](https://llm.datasette.io/en/stable/python-api.html#token-usage) * [Streaming responses](https://llm.datasette.io/en/stable/python-api.html#streaming-responses) * [Async models](https://llm.datasette.io/en/stable/python-api.html#async-models) * [Tool functions can be sync or async](https://llm.datasette.io/en/stable/python-api.html#tool-functions-can-be-sync-or-async) * [Tool use for async models](https://llm.datasette.io/en/stable/python-api.html#tool-use-for-async-models) * [Conversations](https://llm.datasette.io/en/stable/python-api.html#conversations) * [Conversations using tools](https://llm.datasette.io/en/stable/python-api.html#conversations-using-tools) * [Listing models](https://llm.datasette.io/en/stable/python-api.html#listing-models) * [Running code when a response has completed](https://llm.datasette.io/en/stable/python-api.html#running-code-when-a-response-has-completed) * [Other functions](https://llm.datasette.io/en/stable/python-api.html#other-functions) * [set_alias(alias, model_id)](https://llm.datasette.io/en/stable/python-api.html#set-alias-alias-model-id) * [remove_alias(alias)](https://llm.datasette.io/en/stable/python-api.html#remove-alias-alias) * [set_default_model(alias)](https://llm.datasette.io/en/stable/python-api.html#set-default-model-alias) * [get_default_model()](https://llm.datasette.io/en/stable/python-api.html#get-default-model) * [set_default_embedding_model(alias) and get_default_embedding_model()](https://llm.datasette.io/en/stable/python-api.html#set-default-embedding-model-alias-and-get-default-embedding-model) * [Logging to SQLite](https://llm.datasette.io/en/stable/logging.html) * [Viewing the logs](https://llm.datasette.io/en/stable/logging.html#viewing-the-logs) * [-s/–short mode](https://llm.datasette.io/en/stable/logging.html#s-short-mode) * [Logs for a conversation](https://llm.datasette.io/en/stable/logging.html#logs-for-a-conversation) * [Searching the logs](https://llm.datasette.io/en/stable/logging.html#searching-the-logs) * [Filtering past a specific ID](https://llm.datasette.io/en/stable/logging.html#filtering-past-a-specific-id) * [Filtering by model](https://llm.datasette.io/en/stable/logging.html#filtering-by-model) * [Filtering by prompts that used specific fragments](https://llm.datasette.io/en/stable/logging.html#filtering-by-prompts-that-used-specific-fragments) * [Filtering by prompts that used specific tools](https://llm.datasette.io/en/stable/logging.html#filtering-by-prompts-that-used-specific-tools) * [Browsing data collected using schemas](https://llm.datasette.io/en/stable/logging.html#browsing-data-collected-using-schemas) * [Browsing logs using Datasette](https://llm.datasette.io/en/stable/logging.html#browsing-logs-using-datasette) * [Backing up your database](https://llm.datasette.io/en/stable/logging.html#backing-up-your-database) * [SQL schema](https://llm.datasette.io/en/stable/logging.html#sql-schema) * [Related tools](https://llm.datasette.io/en/stable/related-tools.html) * [strip-tags](https://llm.datasette.io/en/stable/related-tools.html#strip-tags) * [ttok](https://llm.datasette.io/en/stable/related-tools.html#ttok) * [Symbex](https://llm.datasette.io/en/stable/related-tools.html#symbex) * [CLI reference](https://llm.datasette.io/en/stable/help.html) * [llm –help](https://llm.datasette.io/en/stable/help.html#llm-help) * [llm prompt –help](https://llm.datasette.io/en/stable/help.html#llm-prompt-help) * [llm chat –help](https://llm.datasette.io/en/stable/help.html#llm-chat-help) * [llm keys –help](https://llm.datasette.io/en/stable/help.html#llm-keys-help) * [llm logs –help](https://llm.datasette.io/en/stable/help.html#llm-logs-help) * [llm models –help](https://llm.datasette.io/en/stable/help.html#llm-models-help) * [llm templates –help](https://llm.datasette.io/en/stable/help.html#llm-templates-help) * [llm schemas –help](https://llm.datasette.io/en/stable/help.html#llm-schemas-help) * [llm tools –help](https://llm.datasette.io/en/stable/help.html#llm-tools-help) * [llm aliases –help](https://llm.datasette.io/en/stable/help.html#llm-aliases-help) * [llm fragments –help](https://llm.datasette.io/en/stable/help.html#llm-fragments-help) * [llm plugins –help](https://llm.datasette.io/en/stable/help.html#llm-plugins-help) * [llm install –help](https://llm.datasette.io/en/stable/help.html#llm-install-help) * [llm uninstall –help](https://llm.datasette.io/en/stable/help.html#llm-uninstall-help) * [llm embed –help](https://llm.datasette.io/en/stable/help.html#llm-embed-help) * [llm embed-multi –help](https://llm.datasette.io/en/stable/help.html#llm-embed-multi-help) * [llm similar –help](https://llm.datasette.io/en/stable/help.html#llm-similar-help) * [llm embed-models –help](https://llm.datasette.io/en/stable/help.html#llm-embed-models-help) * [llm collections –help](https://llm.datasette.io/en/stable/help.html#llm-collections-help) * [llm openai –help](https://llm.datasette.io/en/stable/help.html#llm-openai-help) * [Contributing](https://llm.datasette.io/en/stable/contributing.html) * [Updating recorded HTTP API interactions and associated snapshots](https://llm.datasette.io/en/stable/contributing.html#updating-recorded-http-api-interactions-and-associated-snapshots) * [Debugging tricks](https://llm.datasette.io/en/stable/contributing.html#debugging-tricks) * [Documentation](https://llm.datasette.io/en/stable/contributing.html#documentation) * [Release process](https://llm.datasette.io/en/stable/contributing.html#release-process) * [Changelog](https://llm.datasette.io/en/stable/changelog.html) <!-- [[[end]]] --> ", Assign "at most 3 tags" to the expected json: {"id":"7327","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"