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phoenix-server

Phoenix-server is a Claude Code skill for developing the backend of Phoenix, an AI observability platform built with FastAPI, Strawberry GraphQL, and SQLAlchemy ORM. Use this skill when setting up the development environment, running tests, modifying GraphQL mutations and types, writing database migrations, or implementing REST API endpoints for the Phoenix observability backend.

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git clone --depth 1 https://github.com/Arize-ai/phoenix /tmp/phoenix-server && cp -r /tmp/phoenix-server/.agents/skills/phoenix-server ~/.claude/skills/phoenix-server
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# Phoenix Backend Development

Phoenix is an AI observability platform. The backend is Python: FastAPI serving a REST API and Strawberry
GraphQL API over an async SQLAlchemy ORM (PostgreSQL + SQLite).

## Development Guide Index

Read `DEVELOPMENT.md` (env setup, `uv`, tests, debugpy, pre-commit, REST API conventions) and `CONTRIBUTING.md` (PR format, conventional commits, code review expectations) if you have not already.

### Everyday Commands

```bash
make dev-backend                        # backend only, no frontend build needed
uv run pytest path/to/test -n auto      # run specific tests in parallel
make test-python                        # full test suite
make graphql                            # regenerate schema after GQL changes
make format                             # format all code
make typecheck-python                   # mypy + pyright
```

## Key Directories

```
src/phoenix/server/api/
  mutations/        Domain-specific mutation mixins, composed in __init__.py
  types/            GraphQL types with field resolvers
  input_types/      Strawberry @input classes with validation
  subscriptions.py  Async generator subscriptions (streaming)
  queries.py        Root query type
  context.py        Request context: db, dataloaders, auth, event queue
  dataloaders/      Batch loaders (prevent N+1 queries)
  auth.py           Permission classes (IsNotReadOnly, IsNotViewer, etc.)
  routers/          REST API endpoints (v1/)
src/phoenix/db/
  models.py         SQLAlchemy ORM models (single file)
  migrations/       Alembic migrations
tests/unit/server/api/
  mutations/        Mutation tests
  types/            Type resolver tests
  conftest.py       Fixtures: db, gql_client, test data factories
```

## What Are You Doing?

| Task | Reference |
|------|-----------|
| Adding or modifying a mutation, type, subscription, or input | `references/graphql-patterns.md` |
| Writing or modifying tests | `references/test-patterns.md` |
| Writing tests for code that emits OpenInference spans (VCR cassettes, span attribute assertions) | `references/llm-trace-tests.md` |
| Adding a migration or modifying database models | `references/database-patterns.md` |

## Hard Rules

- **Side effects belong on `Mutation`, not `Query`.** A resolver that makes outbound
  network calls, reads secrets, writes state, or accepts a user-supplied URL/host
  MUST be a `@strawberry.mutation` with `permission_classes=[...]`. Query fields
  bypass the `make check-graphql-permissions` CI guard and are reachable
  unauthenticated by default — this has been exploited as an SSRF vector. See
  `references/graphql-patterns.md` → "Query vs Mutation".

## Naming

- **Avoid acronyms and single/double-letter abbreviations for local variables.**
  Prefer the full noun: `session` / `project_session` over `ps`, `trace` over `t`,
  `example` / `dataset_example` over `de`. The cost of a longer identifier is trivial; the
  cost of having to mentally expand an acronym while reading unfamiliar code is
  not.
- Established domain acronyms used in the codebase (`db`, `gql`, `otel`, `llm`)
  are fine — they're vocabulary, not abbreviations of local nouns.

## Docstrings

The project rule of "default to no comments" is about **inline comments**, not
docstrings. Public APIs should be documented.

- **Document parameters and return values on public methods of reusable classes**
  (clients, services, factories, builders). Use Google-style `Args:` / `Returns:`
  /  `Raises:` blocks when the meaning isn't fully recoverable from the type
  signature. Do not strip these during refactors — semantics outlive file moves.
- **Describe behavior, not implementation.** A method on a docs-search client
  says "Invoke a backend tool and return its text result", not "Invoke a tool
  on the MCP server" — the underlying transport is an implementation detail and
  the docstring should survive a transport swap. Internal helpers (leading `_`)
  may reference the transport directly since their scope is bounded.
- **One-liner docstrings are fine** when the name and types fully convey intent
  (`close()`, `is_backend_tool(name)`). Don't pad them with restated signatures.
- **Module docstrings** belong at the top of any file that exposes public
  surface (a client class, a router, a service module). One sentence on what
  the module is for is enough.
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mintlifySkill

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phoenix-cliSkill

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.

phoenix-designSkill

Design system conventions for the Phoenix frontend — layout, dialogs, error display, BEM CSS class naming, and CSS design tokens. Use when building UI, naming CSS classes, creating or consuming tokens, handling errors, or designing dialog interactions in app/src/.

phoenix-docs-gap-auditSkill

>

phoenix-evals-new-metricSkill

>-

phoenix-evalsSkill

Build and run evaluators for AI/LLM applications using Phoenix.

phoenix-frontendSkill

Frontend development guidelines for the Phoenix AI observability platform. Use when writing, reviewing, or modifying React components, TypeScript code, styles, or UI features in the app/ directory. Triggers on any frontend task — new components, UI changes, styling, accessibility fixes, form handling, or component refactoring. Also use when the user asks about frontend conventions or component patterns for this project. For design system rules (error display, layout, dialogs, tokens), use the phoenix-design skill.