phoenix-cli — Отладка и анализ LLM приложений

--- name: phoenix-cli description: Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, review experiments, inspect datasets, and query the GraphQL API. Use when debugging AI/LLM applications, analyzing trace data, working with Phoenix observability, or investigating LLM performance issues. license: Apache-2.0 metadata: author: arize-ai version: "2.0.0" --- # Phoenix CLI ## Invocation ```bash 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`: ```bash px trace list px trace get <trace-id> px span list px dataset list px dataset get <name> ``` ## Setup ```bash export PHOENIX_HOST=http://localhost:6006 export PHOENIX_PROJECT=my-project export PHOENIX_API_KEY=your-api-key # if auth is enabled ``` Always use `--format raw --no-progress` when piping to `jq`. ## Traces ```bash 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 --format raw --no-progress | jq 'sort_by(-.duration) | .[0:5]' px trace get <trace-id> --format raw | jq . px trace get <trace-id> --format raw | jq '.spans[] | select(.status_code != "OK")' ``` ## Spans ```bash 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 --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 --include-annotations --limit 10 # include annotation scores px span list output.json --limit 100 # save to JSON file px span list --format raw --no-progress | jq '.[] | select(.status_code == "ERROR")' ``` ### 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 (same as trace span attributes above) annotations[] (with --include-annotations) name, result { score, label, explanation } ``` ### Trace JSON shape ``` Trace traceId, status ("OK"|"ERROR"), duration (ms), startTime, endTime rootSpan — top-level span (parent_id: null) spans[] name, span_kind ("LLM"|"CHAIN"|"TOOL"|"RETRIEVER"|"EMBEDDING"|"AGENT") status_code ("OK"|"ERROR"), parent_id, context.span_id 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 ``` ## Sessions ```bash px session list --limit 10 --format raw --no-progress | jq . px session list --order asc --format raw --no-progress | jq '.[].session_id' px session get <session-id> --format raw | jq . px session get <session-id> --include-annotations --format raw | jq '.annotations' ``` ### Session JSON shape ``` SessionData id, session_id, project_id start_time, end_time traces[] id, trace_id, start_time, end_time SessionAnnotation (with --include-annotations) id, name, annotator_kind ("LLM"|"CODE"|"HUMAN"), session_id result { label, score, explanation } metadata, identifier, source, created_at, updated_at ``` ## Datasets / Experiments / Prompts ```bash px dataset list --format raw --no-progress | jq '.[].name' px dataset get <name> --format raw | jq '.examples[] | {input, output: .expected_output}' 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 ``` ## GraphQL For ad-hoc queries not covered by the commands above. Output is `{"data": {...}}`. ```bash 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' # 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. ```bash 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).