Query the Onyx knowledge base using the onyx-cli command. Use when the user wants to search company documents, ask questions about internal knowledge, query connected data sources, or look up information stored in Onyx.
Resources
1Install
npx skillscat add onyx-dot-app/onyx/onyx-cli Install via the SkillsCat registry.
Onyx CLI — Agent Tool
onyx-cli is an agent's interface to the Onyx enterprise knowledge platform. It connects to company documents, apps, and people. Use it to answer questions that require internal knowledge — policies, docs, processes, data from connected sources (Confluence, Google Drive, Slack, etc.).
Prerequisites
1. Check if installed
which onyx-cli2. Install (if needed)
pip install onyx-cli3. Check if configured
If a human has already run onyx-cli chat (which includes first-time setup), the CLI is ready — no additional setup needed. The config file at ~/.config/onyx-cli/config.json (or $XDG_CONFIG_HOME/onyx-cli/config.json if set) is read automatically.
Environment variables override the config file and can be used as an alternative when no config file exists:
export ONYX_SERVER_URL="https://your-onyx-server.com" # default: https://cloud.onyx.app
export ONYX_PAT="your-pat"| Variable | Required | Description |
|---|---|---|
ONYX_SERVER_URL |
No | Server origin or already-prefixed API base (default: https://cloud.onyx.app) |
ONYX_API_PREFIX |
No | API path prefix (default: /api); empty for direct backend access |
ONYX_PAT |
Yes | Personal access token for authentication (unless config file exists) |
ONYX_PERSONA_ID |
No | Default agent/persona ID |
ONYX_STREAM_MARKDOWN |
No | Enable/disable progressive markdown rendering (true/false) |
If neither a config file nor environment variables are set, tell the user that onyx-cli needs to be configured and ask them to either:
- Run
onyx-cli chatto complete first-time setup interactively, or - Set
ONYX_SERVER_URLandONYX_PATenvironment variables (ONYX_PAT holds your PAT)
4. Verify configuration
onyx-cli validate-configExit code 0 on success. Non-zero with a descriptive error on failure (see exit codes below).
Commands
Search documents
onyx-cli search "What is our deployment process?"Returns ranked, cited documents from the Onyx knowledge base as JSON. Default output is a lean shape: {"results": [{title, url, source_type, content, updated_at}, ...]}. Results contain only documents the LLM judged relevant, ordered by relevance; content is the full chunk text of each. Use --raw for the full API response — printed bare for one query (adds per-result citation_id), and as {"searches": [{query, response}, ...]} for several.
Each query is a full search pass that takes tens of seconds. Multiple queries passed in one invocation (up to 3) run concurrently — batch independent questions into a single call instead of running them sequentially. Multi-query output is {"searches": [{query, results}, ...]} in argument order; a failed query has an error field and null results, and partial failures still exit 0, so check per-query error fields. Write search output to files and parse it in a separate shell call — a parsing script (e.g. a Python heredoc) chained after a search can hang, hit your shell timeout, and throw away the completed searches.
Stdout is always valid JSON. If the response exceeds --max-output bytes (default 50000 for non-TTY), lowest-ranked results are dropped and a truncation object is added: {truncated, total_results, shown_results, total_bytes, content_truncated, full_response_path, hint}. The complete response — shaped like the printed output (results for one query, searches for several) — is saved to full_response_path; read that file for the dropped results. With multiple queries, per-query result counts are capped uniformly until the combined output fits, so small result sets pass through whole.
# Batch independent questions (concurrent)
onyx-cli search "Q3 roadmap" "hiring plan" "incident postmortem template"
# Filter by source
onyx-cli search --source slack,google_drive "auth migration status"
# Recent results only
onyx-cli search --days 30 "recent production incidents"
# Use a specific agent for scoped search
onyx-cli search --agent-id 5 "engineering roadmap"
# Full API response for programmatic use
onyx-cli search --raw "API documentation" | jq '.results[].title'
# Skip query expansion for exact matching
onyx-cli search --no-query-expansion "exact error message text"| Flag | Type | Description |
|---|---|---|
--source |
string | Filter by source type (comma-separated: slack,google_drive) |
--days |
int | Only return results from the last N days |
--agent-id |
int | Agent ID for scoped search (inherits filters, document sets) |
--raw |
bool | Output full API response (adds per-result citation_id) |
--no-query-expansion |
bool | Skip LLM query expansion — faster, but only safe when the query is already precise (exact names, titles, quoted phrases) |
--max-output |
int | Max bytes to print before truncating (0 to disable, default 50000 for non-TTY, ignored with --raw) |
Ask a question
onyx-cli ask "What is our company's PTO policy?"Streams an LLM-generated answer as plain text to stdout. Use search instead when you need the source documents rather than a synthesized answer. When stdout is not a TTY, output is truncated to 50000 bytes and the full response is saved to a temp file (path printed at the end). Use --max-output 0 to disable truncation.
# Use a specific agent
onyx-cli ask --agent-id 5 "Summarize our Q4 roadmap"
# Pipe context in with the question
cat error.log | onyx-cli ask --prompt "Find the root cause"
# Structured NDJSON output
onyx-cli ask --json "List all active API integrations"| Flag | Type | Description |
|---|---|---|
--agent-id |
int | Agent ID to use (overrides default) |
--json |
bool | Output NDJSON stream events instead of plain text (bypasses truncation) |
--quiet |
bool | Buffer output and print once at end (no streaming) |
--prompt |
str | Question text (use with piped stdin context) |
--max-output |
int | Max bytes to print before truncating (0 to disable, default 50000 for non-TTY) |
List available agents
onyx-cli agents
onyx-cli agents --jsonPrints a table of agent IDs, names, and descriptions. Use --json for structured JSON output. Use agent IDs with search --agent-id or ask --agent-id.
Validate configuration
onyx-cli validate-configChecks config exists, PAT is present, server is reachable, and credentials are valid. Use before search, ask, or agents to confirm the CLI is properly set up.
Output Conventions
- stdout: Results only (answer text, agent list, status)
- stderr: Progress indicators, warnings, errors
- Non-TTY: No ANSI escape codes, no interactive prompts
- Truncation: When stdout is not a TTY,
searchandaskoutput is limited to 50000 bytes and the full response is saved to a temp file.searchstays valid JSON — whole results are dropped and atruncationobject carries the temp file path.ask(plain text) is cut at the byte limit with the temp file path printed at the end.
Exit Codes
| Code | Name | Meaning |
|---|---|---|
| 0 | Success | Command completed successfully |
| 1 | General | Unknown or unclassified error |
| 2 | BadRequest | Invalid arguments |
| 3 | NotConfigured | Missing config or PAT |
| 4 | AuthFailure | Invalid PAT (401/403) |
| 5 | Unreachable | Server unreachable |
| 6 | RateLimited | Server returned 429 |
| 7 | Timeout | Request timed out |
| 8 | ServerError | Server returned 5xx |
| 9 | NotAvailable | Feature/endpoint does not exist |
Statelessness
Each invocation is independent. search does not create a chat session. ask creates a one-shot chat session. There is no way to chain context across multiple invocations — every call starts fresh.
When to Use
Use onyx-cli search when:
- You need to find specific documents or gather context for a task
- You want to reason over multiple source documents yourself
- The user asks you to look up or find information in company knowledge
- You need cited, structured results (document IDs, source types, content)
Use onyx-cli ask when:
- The user wants a direct answer, summarization, or synthesis
- A human-readable response is more useful than raw documents
- You need the LLM to reason across sources and produce an answer
Do NOT use either when:
- The question is about general programming knowledge (use your own knowledge)
- The user is asking about code in the current repository (use grep/read tools)
- The user hasn't mentioned Onyx and the question doesn't require internal company data
Examples
# Search for documents
onyx-cli search "What is our deployment process?"
onyx-cli search --source slack "auth migration status"
onyx-cli search --raw "API documentation" | jq '.results[].title'
# Ask for an answer
onyx-cli ask "What are the steps to deploy to production?"
onyx-cli ask --agent-id 3 "What were the action items from last week's standup?"
cat error.log | onyx-cli ask --prompt "What does this error mean?"