一覧へ戻る
jina-ai/cli（新しいタブで開きます）
主要言語: Python
All Jina AI APIs as Unix CLI commands. Search, read, embed, rerank - with pipes.
- star 数
- 182
- watcher 数
- 2
- fork 数
- 7
- issue 数
- 1
- 最終更新
- 2026/08/03
gem-hunter主要言語: Python
All Jina AI APIs as Unix CLI commands. Search, read, embed, rerank - with pipes.
All Jina AI APIs as Unix commands. Search, read, embed, rerank - with pipes.
This CLI is designed for both humans and AI agents. An agent with shell access needs only run(command="jina search ...") instead of managing 20 separate tool definitions. The CLI supports pipes, chaining (&&, ||, ;), and --help for self-discovery.
pip install jina-cli
# or
uv pip install jina-cliSet your API key:
export JINA_API_KEY=your-key-here # Get one at https://jina.ai/?sui=apikey
| Command | Description |
|---|---|
jina read URL |
Extract clean markdown from web pages |
jina search QUERY |
Web search (also --arxiv, --ssrn, --images, --blog) |
jina embed TEXT |
Generate embeddings |
jina rerank QUERY |
Rerank documents from stdin by relevance |
jina classify TEXT |
Classify text into labels |
jina dedup |
Deduplicate text from stdin |
jina screenshot URL |
Capture screenshot of a URL |
jina bibtex QUERY |
Search BibTeX citations (DBLP + Semantic Scholar) |
jina expand QUERY |
Expand a query into related queries |
jina pdf URL |
Extract figures/tables/equations from PDFs |
jina datetime URL |
Guess publish/update date of a URL |
jina primer |
Context info (time, location, network) |
jina grep PATTERN |
Semantic grep (requires pip install jina-grep) |
The point of a CLI is composability. Every command reads from stdin and writes to stdout.
# Search and rerank jina search "transformer models" | jina rerank "efficient inference" # Read multiple URLs cat urls.txt | jina read # Search, deduplicate results jina search "attention mechanism" | jina dedup # Chain searches jina expand "climate change" | head -1 | xargs -I {} jina search "{}" # Get BibTeX for arXiv results jina search --arxiv "BERT" --json | jq -r '.results[].title' | head -3
jina read https://example.com jina read https://example.com --links --images echo "https://example.com" | jina read
jina search "what is BERT" jina search --arxiv "attention mechanism" -n 10 jina search --ssrn "corporate governance" jina search --images "neural network diagram" jina search --blog "embeddings" jina search "AI news" --time d # past day jina search "LLMs" --gl us --hl en # US, English
jina embed "hello world" jina embed "text1" "text2" "text3" cat texts.txt | jina embed jina embed "hello" --model jina-embeddings-v5-text-small --task retrieval.query jina embed "hello" --model jina-embeddings-v5-omni-small --task retrieval.query
cat docs.txt | jina rerank "machine learning" jina search "AI" | jina rerank "embeddings" --top-n 5
jina classify "I love this product" --labels positive,negative,neutral echo "stock prices rose sharply" | jina classify --labels business,sports,tech cat texts.txt | jina classify --labels cat1,cat2,cat3 --json
cat items.txt | jina dedup cat items.txt | jina dedup -k 10
jina screenshot https://example.com # prints screenshot URL jina screenshot https://example.com -o page.png # saves to file jina screenshot https://example.com --full-page -o page.jpg
jina bibtex "attention is all you need" jina bibtex "transformer" --author Vaswani --year 2017
jina pdf https://arxiv.org/pdf/2301.12345
jina pdf 2301.12345 # arXiv ID shorthand
jina pdf https://example.com/paper.pdf --type figure,tableEvery command supports --json for structured output, useful for piping to jq:
jina search "BERT" --json | jq '.results[0].url' jina read https://example.com --json | jq '.data.content'
| Code | Meaning |
|---|---|
| 0 | Success |
| 1 | User/input error (missing args, bad input, missing API key) |
| 2 | API/server error (network, timeout, server error) |
| 130 | Interrupted (Ctrl+C) |
Useful for scripting and agent workflows:
jina search "query" && echo "success" || echo "failed with $?"
| Variable | Description |
|---|---|
JINA_API_KEY |
API key for Jina services (required for most commands) |
An agent with shell access can use this CLI directly:
result = run(command="jina search 'transformer architecture'") result = run(command="jina read https://arxiv.org/abs/2301.12345") result = run(command="jina search 'AI' | jina rerank 'embeddings'")
No tool catalog needed. The agent discovers capabilities via jina --help and jina search --help. Errors include actionable guidance.
jina grep provides semantic search over files using local Jina embeddings on MLX. It requires a separate install:
pip install jina-grep
jina grep "error handling" src/ jina grep -r --threshold 0.3 "database connection" . grep -rn "error" src/ | jina grep "retry logic"
Supports most GNU grep flags (-r, -n, -l, -c, -A/-B/-C, --include, --exclude) plus semantic flags (--threshold, --top-k, --model). Run jina grep --help for full options.
For repeated queries, start a persistent embedding server to avoid model reload:
jina grep serve start # background server, model stays in GPU memory jina grep serve stop # stop when done
jina embed, jina rerank, jina classify, and jina dedup support --local to run on Apple Silicon via the jina-grep embedding server instead of the Jina API. No API key needed.
# Start the local server first jina grep serve start # Local embeddings jina embed --local "hello world" cat texts.txt | jina embed --local --json # Local reranking (cosine similarity on local embeddings) cat docs.txt | jina rerank --local "machine learning" # Local classification (cosine similarity on local embeddings) jina classify --local "this is great" --labels positive,negative # Local deduplication cat items.txt | jina dedup --local
Local mode uses jina-embeddings-v5-nano by default. Override with --model jina-embeddings-v5-small, jina-embeddings-v5-omni-small, or jina-embeddings-v5-omni-nano.
Requires pip install jina-grep and jina grep serve start.
Inspired by CLI is All Agents Need:
run(command="jina search ...") replaces a sprawling tool catalog. Less tool selection overhead, more problem solving.stdout is data, stderr is diagnostics. Commands chain with |, &&, ||. No SDK needed.--help for self-discovery. Layer 0: command list. Layer 1: usage + examples. Layer 2: full options. The agent fetches only what it needs, saving context budget.stderr is the agent's most important channel. When a command fails, stderr carries the fix. Never discard it. Never mix it with data.--json for structured, plain text for pipes.0 success, 1 user error, 2 API error, 130 interrupted. Scripts and agents branch on these, not on parsing error strings.Apache-2.0