phoenix-cli

Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review experiments, query annotation configs, and use the GraphQL API. Use whenever the user is analyzing traces or spans, investigating LLM/agent failures, deciding what to do after instrumenting an app, building failure taxonomies, choosing what evals to write, or asking "what's going wrong", "what kinds of mistakes", or "where do I focus" — even without naming a technique.

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Phoenix CLI

Invocation

px <resource> <action>                          # if installed globally
npx @arizeai/phoenix-cli <resource> <action>    # no install required

The CLI uses singular resource commands with subcommands like list and get:

px trace list
px trace get <trace-id>
px trace annotate <trace-id>
px trace add-note <trace-id>
px trace-annotations delete
px span list
px span annotate <span-id>
px span add-note <span-id>
px span-annotations delete
px session list
px session get <session-id>
px session annotate <session-id>
px session add-note <session-id>
px session-annotations delete
px dataset list
px dataset get <name>
px project list
px project get <name>
px annotation-config list
px annotation-config get <identifier>
px annotation-config create
px annotation-config update <identifier>
px annotation-config delete <id>
px auth login
px auth logout
px auth status
px profile list
px profile show [name]
px profile create <name>
px profile use <name>
px profile edit <name>
px profile delete <name>

Setup

export PHOENIX_HOST=http://localhost:6006
export PHOENIX_PROJECT=my-project
export PHOENIX_API_KEY=your-api-key  # if auth is enabled

For interactive local use, px auth login stores an OAuth session in the selected profile; the session acts with the permissions of the user who logged in. API keys take precedence over OAuth tokens when both are configured. OAuth access tokens are refreshed automatically for REST, GraphQL, and PXI requests, and rotated tokens are persisted to the selected profile.

Always use --format raw --no-progress when piping to jq.

`px setup` — onboarding

px setup connects the app in the current directory to a Phoenix deployment and writes .env.phoenix (mode 0600, gitignored). The interactive flow is for humans — it prompts, launches coding agents, and polls for traces. From an agent, always pass --no-input:

# Register only: connection + .env.phoenix, no source changes.
px setup --no-input --endpoint http://localhost:6006 --project my-app --format raw

Headless requires a clean git repo and, by default, stops after writing the files — it will not touch source unless you ask. If auth is enabled, also set PHOENIX_API_KEY. The project doesn't need to exist — Phoenix creates it on first trace. Missing inputs exit 3 with exact remediation; cancel exits 2.

To also instrument the app, name the lane — headless has no prompt to pick one from, so --instrument requires --agent:

px setup --no-input --instrument --agent claude --yolo --format raw

--yolo matters: a background agent has no terminal to approve its edits on, so without it the run stalls until trace verification times out. --language python skips the agent's language detection. --docs-mcp connects the Phoenix docs MCP server to the hand-off agent (claude mcp add for claude, config-file merge for cursor/opencode; codex unsupported) and skips the .px/docs download — the agent searches docs on demand instead; any failure falls back to the download. --no-docs-mcp suppresses the interactive offer. --format raw prints {"endpoint","project","files","instrumentation","tracesVerified","tracesUrl"} — check tracesVerified, which is set only when the API confirmed a trace arriving, not when the agent claims it finished.

Re-runnable slices, so an already-registered repo skips the questions:

px setup instrument --agent claude   # instrument + verify only
px setup skills                      # install the Phoenix coding-agent skills

`px setup mcp` — register the remote MCP server

Wire the Phoenix remote MCP server (<endpoint>/mcp) into a coding agent so it can query Phoenix data. The endpoint is inferred from --endpoint, the active profile, or PHOENIX_HOST. Bare command prompts for scope (global default) then agent; --agent skips both prompts.

px setup mcp --agent codex --no-input --format raw
px setup mcp --agent claude --local            # write this repo's .mcp.json

Agents: claude, codex, gemini, cursor, opencode, vscode. Scope is --global (default) or --local (repo; Codex is global-only). Auth is OAuth by default (URL-only config, browser login on first use); pass --header "Name: value" (repeatable) for an API-key bearer fallback — for Codex a Authorization: Bearer ${VAR} header becomes bearer_token_env_var. --format raw prints {"endpoint","url","serverName","agent","scope","auth","file?"}.

Quick Reference

Task	Files
Look at sampled traces, spans, or sessions and write specific notes about what went wrong (no taxonomy yet)	references/open-coding
Group those notes into a structured failure taxonomy and quantify what matters	references/axial-coding

Both stages tag every artifact with one shared coding annotation identifier (descriptive shape, e.g. coding-run:chatbot-context-loss-2026-05-06) so the run is queryable, reversible, and viewable as a unit. Pass --identifier <value> explicitly on every px call — shell inheritance is unreliable across agent harnesses. Open coding writes notes via px ... add-note and records a small local JSONL sidecar at .px/coding/<sanitized-identifier>.jsonl; axial coding reads that sidecar as the deterministic handoff and records labels in .px/coding/<sanitized-identifier>-axial.jsonl. Pick the identifier once per run (see references/open-coding.md), then share the Phoenix UI link from the wrap-up section. Revert is opt-in and runs three identifier-bound DELETEs only after explicit user confirmation.

Workflow term vs. server annotation name. The skill prose calls this value the coding annotation identifier (shell-variable hint: CODING_ANNOTATION_IDENTIFIER). The server-side annotation NAME used for the UI filter is unchanged — coding_session_id — for data compatibility with rows already written by previous runs. Don't try to rename the server-side annotation; treat the asymmetry as load-bearing.

Workflows

"What do I do after instrumenting?" / "Where do I focus?" / "What's going wrong?" open-coding → axial-coding → build evals for the top categories.

Reference Categories

Prefix	Description
`references/open-coding`	Free-form notes against sampled traces, spans, or sessions — reach for it whenever the user wants to make sense of LLM traffic but has no failure categories yet. Includes a unit-of-analysis diagnostic so the workflow runs at the level the failure modes actually live at (trace for stateless single-shot calls, session for multi-turn agents, span for mechanical/in-isolation failures).
`references/axial-coding`	Inductive grouping of notes into a MECE taxonomy with counts — reach for it whenever the user has observations and needs categories or eval targets

Auth

px auth login                                 # browser-based OAuth login
px auth login --no-browser                    # print URL for SSH/headless use
px auth logout                                # clear OAuth tokens; leaves API keys
px auth status                                # check connection and authentication
px auth status --endpoint http://other:6006   # check a specific endpoint
px auth status --profile staging              # check a named profile's connection
px auth status --format raw                   # machine-readable credential source

auth status reports the credential source (flag, env, profile-key, oauth, or none). OAuth status includes the token expiry.

When the stored credential source is oauth and the authenticated probe fails, auth status retries once without credentials and reports anonymous access only if the server explicitly says access is anonymous. This keeps a stale or expired profile token from being reported as an auth failure against a deployment that has since switched from OAuth to anonymous access.

Profiles

Named profiles let you switch between multiple Phoenix instances (local, staging, cloud) without juggling environment variables. Profiles are stored in ~/.px/settings.json (or $XDG_CONFIG_HOME/px/settings.json).

Configuration priority (highest to lowest): CLI flags > env vars > active profile > nearest .env.phoenix file > built-in defaults.

The CLI also discovers the nearest .env.phoenix file at or above the current working directory (the same file px setup writes). Credentials are resolved as one group, so a process API key is never combined with file-provided headers. Set PHOENIX_DISCOVER_CONFIG=false to disable discovery.

px profile list                              # list all profiles (shows active profile)
px profile show                              # show the active profile's settings
px profile show staging                      # show a named profile's settings
px profile create prod --endpoint https://app.phoenix.arize.com --api-key <key> --activate
px profile create local --endpoint http://localhost:6006 --project my-app
px profile use prod                          # switch the active profile
px profile edit prod                         # open profile JSON in $EDITOR (validates on save)
px profile delete prod --yes                 # delete a profile (--yes skips confirmation)

Use --profile <name> on any command to target a specific profile without changing the active one:

px trace list --profile staging --limit 10 --format raw --no-progress | jq .
px auth status --profile prod

px profile create options: --endpoint <url>, --project <name>, --api-key <key>, --header <key=value> (repeatable), --activate.

Projects

px project list                                            # list all projects (table view)
px project list --format raw --no-progress | jq '.[].name' # project names as JSON
px project list --name-contains prod                       # filter by name substring (case-insensitive)
px project get my-project --format raw --no-progress       # single record by exact name
px project get my-project --format raw --no-progress | jq -r '.id'  # extract project id

project list accepts --limit <n> (projects fetched per page) and --name-contains <filter>, which filters server-side on a case-insensitive name substring. Use it instead of piping list through grep when you only know part of a project's name.

project get exits with ExitCode.FAILURE (1) on a name miss and writes a StructuredError {error, code: "FAILURE", hint} to stderr in --format json|raw.

Traces

px trace list --limit 20 --format raw --no-progress | jq .
px trace list --last-n-minutes 60 --limit 20 --format raw --no-progress | jq '.[] | select(.status == "ERROR")'
px trace list --since 2025-01-15T00:00:00Z --limit 50 --format raw --no-progress | jq .
px trace list --since 2025-01-15T00:00:00Z --until 2025-01-16T00:00:00Z --limit 50 --format raw --no-progress | jq .  # time range (until is exclusive)
px trace list --format raw --no-progress | jq 'sort_by(-.duration) | .[0:5]'
px trace list --include-notes --format raw --no-progress | jq '.[].notes'
px trace get <trace-id> --format raw | jq .
px trace get <trace-id> --format raw | jq '.spans[] | select(.status_code != "OK")'
px trace get <trace-id> --include-notes --format raw | jq '.notes'
px trace annotate <trace-id> --name reviewer --label pass
px trace annotate <trace-id> --name reviewer --score 0.9 --format raw --no-progress
px trace annotate <trace-id> --name reviewer --label pass --identifier "<coding-annotation-id>"  # tag with a coding annotation identifier
px trace add-note <trace-id> --text "needs follow-up"
px trace add-note <trace-id> --text "needs follow-up" --identifier "<coding-annotation-id>"  # tag + upsert on identifier
px trace-annotations delete --identifier "<coding-annotation-id>" --all -y            # nuke every annotation tied to this coding annotation identifier

px <entity>-annotations delete requires --all or both --start-time and --end-time and emits {deleted: true, target, filter} on success.

Trace JSON shape

Trace
  traceId, status ("OK"|"ERROR"), duration (ms), startTime, endTime
  annotations[] (with --include-annotations, excludes note)
    name, result { score, label, explanation }
  notes[] (with --include-notes)
    name="note", result { explanation }
  rootSpan  — top-level span (parent_id: null)
  spans[]
    name, span_kind ("LLM"|"CHAIN"|"TOOL"|"RETRIEVER"|"EMBEDDING"|"AGENT"|"RERANKER"|"GUARDRAIL"|"EVALUATOR"|"UNKNOWN")
    status_code ("OK"|"ERROR"|"UNSET"), parent_id, context.span_id
    notes[] (with --include-notes)
      name="note", result { explanation }
    attributes
      input.value, output.value          — raw input/output
      llm.model_name, llm.provider
      llm.token_count.prompt/completion/total
      llm.token_count.prompt_details.cache_read
      llm.token_count.completion_details.reasoning
      llm.input_messages.{N}.message.role/content
      llm.output_messages.{N}.message.role/content
      llm.invocation_parameters          — JSON string (temperature, etc.)
      exception.message                  — set if span errored

Spans

px span list --limit 20                                    # recent spans (table view)
px span list --last-n-minutes 60 --limit 50                # spans from last hour
px span list --since 2025-01-15T00:00:00Z --limit 50       # spans since a timestamp
px span list --since 2025-01-15T00:00:00Z --until 2025-01-16T00:00:00Z --limit 50  # time range (until is exclusive)
px span list --span-kind LLM --limit 10                    # only LLM spans
px span list --status-code ERROR --limit 20                # only errored spans
px span list --name chat_completion --limit 10             # filter by span name
px span list --trace-id <id> --format raw --no-progress | jq .   # all spans for a trace
px span list --span-id <id> <id> --format raw --no-progress | jq .  # fetch specific spans by ID (server >= 19.6.0)
px span list --parent-id null --limit 10                   # only root spans
px span list --parent-id <span-id> --limit 10              # only children of a span
px span list --include-annotations --limit 10              # include annotation scores
px span list --include-notes --limit 10                    # include span notes
px span list --attribute llm.model_name:gpt-4 --limit 10  # filter by string attribute
px span list --attribute llm.token_count.total:500 --limit 10  # filter by numeric attribute
px span list --attribute 'user.id:"12345"' --limit 10     # force string match for numeric-looking value
px span list --attribute session.id:sess:abc:123 --limit 20  # colon in value OK (split on first colon only)
px span list --attribute llm.model_name:gpt-4 --attribute session.id:abc --limit 10  # AND multiple filters
px span list output.json --limit 100                       # save to JSON file
px span list --format raw --no-progress | jq '.[] | select(.status_code == "ERROR")'
px span annotate <span-id> --name reviewer --label pass
px span annotate <span-id> --name checker --score 1 --annotator-kind CODE
px span annotate <span-id> --name reviewer --label pass --identifier "<coding-annotation-id>"  # tag with a coding annotation identifier
px span add-note <span-id> --text "verified by agent"
px span add-note <span-id> --text "verified by agent" --identifier "<coding-annotation-id>"  # tag + upsert on identifier
px span-annotations delete --identifier "<coding-annotation-id>" --all -y           # nuke every annotation tied to this coding annotation identifier

Span JSON shape

Span
  name, span_kind ("LLM"|"CHAIN"|"TOOL"|"RETRIEVER"|"EMBEDDING"|"AGENT"|"RERANKER"|"GUARDRAIL"|"EVALUATOR"|"UNKNOWN")
  status_code ("OK"|"ERROR"|"UNSET"), status_message
  context.span_id, context.trace_id, parent_id
  start_time, end_time
  attributes
    input.value, output.value          — raw input/output
    llm.model_name, llm.provider
    llm.token_count.prompt/completion/total
    llm.input_messages.{N}.message.role/content
    llm.output_messages.{N}.message.role/content
    llm.invocation_parameters          — JSON string (temperature, etc.)
    exception.message                  — set if span errored
  annotations[] (with --include-annotations, excludes note)
    name, result { score, label, explanation }
  notes[] (with --include-notes)
    name="note", result { explanation }

Sessions

px session list --limit 10 --format raw --no-progress | jq .
px session list --order asc --format raw --no-progress | jq '.[].session_id'
px session list --include-annotations --include-notes --format raw --no-progress | jq '.[].notes'
px session get <session-id> --format raw | jq .
px session get <session-id> --include-annotations --format raw | jq '.session.annotations'
px session get <session-id> --include-notes --format raw | jq '.session.notes'
px session annotate <session-id> --name reviewer --label pass
px session annotate <session-id> --name reviewer --score 0.9 --format raw --no-progress
px session annotate <session-id> --name reviewer --label pass --identifier "<coding-annotation-id>"  # tag with a coding annotation identifier
px session add-note <session-id> --text "verified by agent"
px session add-note <session-id> --text "verified by agent" --identifier "<coding-annotation-id>"  # tag + upsert on identifier
px session-annotations delete --identifier "<coding-annotation-id>" --all -y              # nuke every annotation tied to this coding annotation identifier

Session JSON shape

SessionData
  id, session_id, project_id
  start_time, end_time
  token_count_prompt, token_count_completion, token_count_total  — cumulative across all LLM spans in the session (int, default 0)
  annotations[] (with --include-annotations, excludes note)
    name, result { score, label, explanation }
  notes[] (with --include-notes)
    name="note", result { explanation }
  traces[]
    id, trace_id, start_time, end_time

Datasets / Experiments / Prompts

px dataset list --format raw --no-progress | jq '.[].name'
px dataset get <name> --format raw | jq '.examples[] | {input, output: .expected_output}'
px dataset get <name> --split train --format raw | jq .    # filter by split
px dataset get <name> --version <version-id> --format raw | jq .
px experiment list --dataset <name> --format raw --no-progress | jq '.[] | {id, name, failed_run_count}'
px experiment get <id> --format raw --no-progress | jq '.[] | select(.error != null) | {input, error}'
px prompt list --format raw --no-progress | jq '.[].name'
px prompt get <name> --format text --no-progress   # plain text, ideal for piping to AI

Annotation Configs

Full CRUD: list, get, create, update, delete. Types are CATEGORICAL (labels + optional scores), CONTINUOUS (numeric range), FREEFORM (free text).

px annotation-config list                                                # all configs (table view)
px annotation-config list --format raw --no-progress | jq -r '.[].name' # config names as JSON
px annotation-config get response-quality --format raw --no-progress     # one config by name or ID

# create — categorical (scored labels), continuous (numeric range), or freeform (free text)
px annotation-config create --type CATEGORICAL --name response-quality --value good=1 --value bad=0
px annotation-config create --type CONTINUOUS --name confidence --lower-bound 0 --upper-bound 1
px annotation-config create --type FREEFORM --name reviewer-notes --description 'Free-form reviewer feedback'

# update by name or ID — only the fields you pass change; type is immutable
px annotation-config update response-quality --name answer-quality --optimization-direction MAXIMIZE
px annotation-config update response-quality --value good=1 --value acceptable=0.5 --value bad=0
px annotation-config update response-quality --description "Updated" --format raw --no-progress | jq -r '.id'

# delete by ID — requires PHOENIX_CLI_DANGEROUSLY_ENABLE_DELETES=true; --yes skips the prompt
px annotation-config delete QW5ub3RhdGlvbkNvbmZpZzoxMjM= --yes

Categorical values are specified the same way in create and update: repeatable --value label[=score] (score optional), or a single --values '<json>' payload — mutually exclusive. update fetches the existing config, merges your flags, and writes the full body back via PUT /v1/annotation_configs/{id}; it requires at least one field flag. Other type-specific flags: --lower-bound/--upper-bound (CONTINUOUS/FREEFORM), --threshold (FREEFORM). Invalid input (bad flags, type mismatches, malformed values) exits 3 (INVALID_ARGUMENT) with a {error, code, hint?} JSON envelope on stderr in raw/json mode. get/create/update output the config object (single object in raw/json, not an array).

GraphQL

For ad-hoc queries not covered by the commands above. Output is {"data": {...}}.

px api graphql '{ projectCount datasetCount promptCount evaluatorCount }'
px api graphql '{ projects { edges { node { name traceCount tokenCountTotal } } } }' | jq '.data.projects.edges[].node'
px api graphql '{ datasets { edges { node { name exampleCount experimentCount } } } }' | jq '.data.datasets.edges[].node'
px api graphql '{ evaluators { edges { node { name kind } } } }' | jq '.data.evaluators.edges[].node'
# evaluator kind values: "LLM" | "CODE" | "BUILTIN"
# CODE = server-side code evaluator running in a sandbox; BUILTIN = pre-built server evaluator

# Introspect any type
px api graphql '{ __type(name: "Project") { fields { name type { name } } } }' | jq '.data.__type.fields[]'

Key root fields: projects, datasets, prompts, evaluators, projectCount, datasetCount, promptCount, evaluatorCount, viewer.

Docs

Download Phoenix documentation markdown for local use by coding agents.

px docs fetch                                # fetch default workflow docs to .px/docs
px docs fetch --workflow tracing             # fetch only tracing docs
px docs fetch --workflow tracing --workflow evaluation
px docs fetch --dry-run                      # preview what would be downloaded
px docs fetch --refresh                      # clear .px/docs and re-download
px docs fetch --output-dir ./my-docs         # custom output directory

Key options: --workflow (repeatable, values: tracing, evaluation, datasets, prompts, integrations, sdk, self-hosting, all), --dry-run, --refresh, --output-dir (default .px/docs), --workers (default 10).

Repository: Arize-ai/phoenix
Path: .agents/skills/phoenix-cli/SKILL.md
Commit: d9421a4

Last updated: about 7 hours ago
First committed: 3 months ago

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