{"id":29251658,"url":"https://github.com/macrat/llawk","last_synced_at":"2025-07-04T01:08:10.600Z","repository":{"id":290198619,"uuid":"917592833","full_name":"macrat/llawk","owner":"macrat","description":"AWK-like simple text processor but working with LLM (Large Language Model).","archived":false,"fork":false,"pushed_at":"2025-04-27T13:47:32.000Z","size":23,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-27T14:33:27.820Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Go","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/macrat.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-01-16T09:31:23.000Z","updated_at":"2025-04-27T13:46:28.000Z","dependencies_parsed_at":"2025-04-27T14:43:40.652Z","dependency_job_id":null,"html_url":"https://github.com/macrat/llawk","commit_stats":null,"previous_names":["macrat/llawk"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/macrat/llawk","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/macrat%2Fllawk","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/macrat%2Fllawk/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/macrat%2Fllawk/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/macrat%2Fllawk/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/macrat","download_url":"https://codeload.github.com/macrat/llawk/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/macrat%2Fllawk/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263427318,"owners_count":23464845,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-07-04T01:08:09.996Z","updated_at":"2025-07-04T01:08:10.582Z","avatar_url":"https://github.com/macrat.png","language":"Go","funding_links":[],"categories":[],"sub_categories":[],"readme":"# llawk\n\nAWK-like simple text processor but working with LLM (Large Language Model).\nIt allows you to easily perform text conversion, extraction, translation, and any other text processing tasks.\n\nFor example:\n\n```shell\n$ ls -l | llawk -f json \"Extract file names and sizes\"\n{\n  \"files\": [\n    {\n      \"name\": \"LICENSE\",\n      \"size\": 1079\n    },\n    {\n      \"name\": \"README.md\",\n      \"size\": 3358\n    },\n    .\n    .\n    .\n  ]\n}\n```\n\n## Supported LLMs\n\n- OpenAI\n    - GPT-4.1\n    - GPT-4.1-mini\n    - GPT-4.1-nano\n    - GPT-4o\n    - GPT-4o-mini\n    - o3\n    - o4-mini\n- Google\n    - gemini-2.0-flash\n    - gemini-2.0-flash-lite\n    - gemini-1.5-pro\n- Anthropic\n    - claude-3.7-sonnet\n    - claude-3.5-haiku\n- Ollama\n    - any models which supports chat completion\n\n\n## Installation\n\nTo install `llawk`, use the following command:\n\n```shell\n$ go install github.com/llawk/llawk@latest\n```\n\n## Usage\n\nllawk takes an instruction from the command line, and an input text from stdin or a file.\n\n```shell\n$ echo hello | llawk \"Translate to Japanese\"\n       ^^^^^         ^^^^^^^^^^^^^^^^^^^^^^^\n       Input         Instruction\n\n$ llawk -i input.txt \"Translate to Japanese\"\n           ^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^\n           InputFile Instruction\n```\n\nIt supports a JSON output format using the `-f json` option:\n\n```shell\n$ ls -l | llawk -f json \"Extract file names and sizes\"\n```\n\nYou can also specify a JSON Schema for the output:\n\n```shell\n$ echo hello | llawk -f '{\"type\":\"object\",\"properties\":{\"japanese\":{\"type\":\"string\"},\"french\":{\"type\":\"string\"}}}' \"Translate to Japanese\"\n```\n\nYou can specify the model using the `-m` option or the `LLAWK_MODEL` environment variable:\n\n```shell\n$ echo hello | llawk -m gemini-2.0-flash \"Translate to Japanese\"\n```\n\nTo see the list of supported models, run `llawk -m list`.\n\n### OpenAI models\n\nOpenAI models require an API key to access.\nPlease set `OPENAI_API_KEY` environment variable before using OpenAI models.\n\n```shell\n$ export OPENAI_API_KEY=sk-xxxxxx\n$ echo hello | llawk -m gpt-4o \"Translate to Japanese\"\n```\n\nYou can specify the OpenAI API organization using the `OPENAI_ORG_ID` environment variable.\n\n### Google models\n\nGoogle models require an API key to access.\nPlease set `GEMINI_API_KEY` environment variable before using Google models.\n\n```shell\n$ export GEMINI_API_KEY=xxxxxx\n$ echo hello | llawk -m gemini-2.0-flash \"Translate to Japanese\"\n```\n\n### Anthropic models\n\nAnthropic models require an API key to access.\nPlease set `ANTHROPIC_API_KEY` environment variable before using Anthropic models.\n\n```shell\n$ export ANTHROPIC_API_KEY=xxxxxx\n$ echo hello | llawk -m claude-3.5-haiku \"Translate to Japanese\"\n```\n\n### Ollama models\n\nYou can use Ollama models without any special settings because Ollama does not require an API key.\n\nAny model supported by Ollama that offers chat completion can be used.\n\n```shell\n$ echo hello | llawk -m ollama:llama3.2 \"Translate to Japanese\"\n$ echo hello | llawk -m ollama:hf.co/elyza/Llama-3-ELYZA-JP-8B-GGUF \"Translate to Japanese\"\n```\n\nIf you want to connect to a specific Ollama server, you can specify the server URL with the `OLLAMA_HOST` environment variable.\n\n```shell\n$ export OLLAMA_HOST=https://192.168.1.123:11434\n$ echo hello | llawk -m ollama:llama3.2 \"Translate to Japanese\"\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmacrat%2Fllawk","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmacrat%2Fllawk","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmacrat%2Fllawk/lists"}