Phoenix Tracing

Comprehensive guide for instrumenting LLM applications with OpenInference tracing in Phoenix. Contains rule files covering setup, instrumentation, span types, and production deployment.

When to Apply

Reference these guidelines when:

•Setting up Phoenix tracing (Python or TypeScript)
•Creating custom spans for LLM operations
•Adding attributes following OpenInference conventions
•Deploying tracing to production
•Querying and analyzing trace data

Rule Categories

Priority	Category	Description	Prefix
1	Setup	Installation and configuration	`setup-*`
2	Instrumentation	Auto and manual tracing	`instrumentation-*`
3	Span Types	9 span kinds with attributes	`span-*`
4	Organization	Projects and sessions	`projects-`, `sessions-`
5	Enrichment	Custom metadata	`metadata-*`
6	Production	Batch processing, masking	`production-*`
7	Feedback	Annotations and evaluation	`annotations-*`

Quick Reference

1. Setup (START HERE)

•setup-python - Install arize-phoenix-otel, configure endpoint
•setup-typescript - Install @arizeai/phoenix-otel, configure endpoint

2. Instrumentation

•instrumentation-auto-python - Auto-instrument OpenAI, LangChain, etc.
•instrumentation-auto-typescript - Auto-instrument supported frameworks
•instrumentation-manual-python - Custom spans with decorators
•instrumentation-manual-typescript - Custom spans with wrappers

3. Span Types (with full attribute schemas)

•span-llm - LLM API calls (model, tokens, messages, cost)
•span-chain - Multi-step workflows and pipelines
•span-retriever - Document retrieval (documents, scores)
•span-tool - Function/API calls (name, parameters)
•span-agent - Multi-step reasoning agents
•span-embedding - Vector generation
•span-reranker - Document re-ranking
•span-guardrail - Safety checks
•span-evaluator - LLM evaluation

4. Organization

•projects-python / projects-typescript - Group traces by application
•sessions-python / sessions-typescript - Track conversations

5. Enrichment

•metadata-python / metadata-typescript - Custom attributes

6. Production (CRITICAL)

•production-python / production-typescript - Batch processing, PII masking

7. Feedback

•annotations-overview - Feedback concepts
•annotations-python / annotations-typescript - Add feedback to spans

Reference Files

•fundamentals-overview - Traces, spans, attributes basics
•fundamentals-required-attributes - Required fields per span type
•fundamentals-universal-attributes - Common attributes (user.id, session.id)
•fundamentals-flattening - JSON flattening rules
•attributes-messages - Chat message format
•attributes-metadata - Custom metadata schema
•attributes-graph - Agent workflow attributes
•attributes-exceptions - Error tracking

Common Attributes

Attribute	Purpose	Example
`openinference.span.kind`	Span type (required)	`"LLM"`, `"RETRIEVER"`
`input.value`	Operation input	JSON or text
`output.value`	Operation output	JSON or text
`user.id`	User identifier	`"user_123"`
`session.id`	Conversation ID	`"session_abc"`
`llm.model_name`	Model identifier	`"gpt-4"`
`llm.token_count.total`	Token usage	`1500`
`tool.name`	Tool/function name	`"get_weather"`

Common Workflows

Quick Start:

•setup-{lang} → Install and configure
•instrumentation-auto-{lang} → Enable auto-instrumentation
•Check Phoenix for traces

Custom Spans:

•setup-{lang} → Install
•instrumentation-manual-{lang} → Add decorators/wrappers
•span-{type} → Reference attributes

Production: production-{lang} → Configure batching and masking

How to Use

Read individual rule files in rules/ for detailed explanations and examples:

code

rules/setup-python.md
rules/instrumentation-manual-typescript.md
rules/span-llm.md

Use file prefixes to find what you need:

bash

ls rules/span-*           # Span type specifications
ls rules/*-python.md      # Python guides
ls rules/*-typescript.md  # TypeScript guides

References

Phoenix Documentation:

•Phoenix Documentation
•OpenInference Spec

Python API Documentation:

•Python OTEL Package - arize-phoenix-otel API reference
•Python Client Package - arize-phoenix-client API reference

TypeScript API Documentation:

•TypeScript Packages - @arizeai/phoenix-otel, @arizeai/phoenix-client, and other TypeScript packages