[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71P7JB58ZTSDPXAVFKPHX7J":3,"skill-same:01M71P7JB58ZTSDPXAVFKPHX7J":194},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":13,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":53,"install":54,"resources":67},"01M71P7JB58ZTSDPXAVFKPHX7J","phoenix-tracing",null,"OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.","Thamielis\u002F.agents","Thamielis","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F52717133?v=4","01M71NG040Z4RAKTDW6JVQTZA0","01M71NG04N9WFE1H3RH0BF6VDY",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FThamielis\u002F.agents\u002Fblob\u002Fmain\u002Fplugins\u002Fphoenix\u002Fskills\u002Fphoenix-tracing\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"tracing","Phoenix","phoenix tracing","Arize","semantic","oss","instrumentation","Production","conventions","typescript","server","when","use","custom","implementing","python","otel","deploying to production","for","observability","2026-11-10 13:02:02",false,"---\nname: phoenix-tracing\ndescription: OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.\nlicense: Apache-2.0\ncompatibility: Requires Phoenix server. Python skills need arize-phoenix-otel; TypeScript skills need @arizeai\u002Fphoenix-otel.\nmetadata:\n  author: oss@arize.com\n  version: \"1.0.0\"\n  languages: \"Python, TypeScript\"\n---\n\n# Phoenix Tracing\n\nComprehensive guide for instrumenting LLM applications with OpenInference tracing in Phoenix. Contains reference files covering setup, instrumentation, span types, and production deployment.\n\n## When to Apply\n\nReference these guidelines when:\n\n- Setting up Phoenix tracing (Python or TypeScript)\n- Creating custom spans for LLM operations\n- Adding attributes following OpenInference conventions\n- Deploying tracing to production\n- Querying and analyzing trace data\n\n## Reference Categories\n\n| Priority | Category        | Description                    | Prefix                     |\n| -------- | --------------- | ------------------------------ | -------------------------- |\n| 1        | Setup           | Installation and configuration | `setup-*`                  |\n| 2        | Instrumentation | Auto and manual tracing        | `instrumentation-*`        |\n| 3        | Span Types      | 9 span kinds with attributes   | `span-*`                   |\n| 4        | Organization    | Projects and sessions          | `projects-*`, `sessions-*` |\n| 5        | Enrichment      | Custom metadata                | `metadata-*`               |\n| 6        | Production      | Batch processing, masking      | `production-*`             |\n| 7        | Feedback        | Annotations and evaluation     | `annotations-*`            |\n\n## Quick Reference\n\n### 1. Setup (START HERE)\n\n- [setup-python](references\u002Fsetup-python.md) - Install arize-phoenix-otel, configure endpoint\n- [setup-typescript](references\u002Fsetup-typescript.md) - Install @arizeai\u002Fphoenix-otel, configure endpoint\n\n### 2. Instrumentation\n\n- [instrumentation-auto-python](references\u002Finstrumentation-auto-python.md) - Auto-instrument OpenAI, LangChain, etc.\n- [instrumentation-auto-typescript](references\u002Finstrumentation-auto-typescript.md) - Auto-instrument supported frameworks\n- [instrumentation-manual-python](references\u002Finstrumentation-manual-python.md) - Custom spans with decorators\n- [instrumentation-manual-typescript](references\u002Finstrumentation-manual-typescript.md) - Custom spans with wrappers\n\n### 3. Span Types (with full attribute schemas)\n\n- [span-llm](references\u002Fspan-llm.md) - LLM API calls (model, tokens, messages, cost)\n- [span-chain](references\u002Fspan-chain.md) - Multi-step workflows and pipelines\n- [span-retriever](references\u002Fspan-retriever.md) - Document retrieval (documents, scores)\n- [span-tool](references\u002Fspan-tool.md) - Function\u002FAPI calls (name, parameters)\n- [span-agent](references\u002Fspan-agent.md) - Multi-step reasoning agents\n- [span-embedding](references\u002Fspan-embedding.md) - Vector generation\n- [span-reranker](references\u002Fspan-reranker.md) - Document re-ranking\n- [span-guardrail](references\u002Fspan-guardrail.md) - Safety checks\n- [span-evaluator](references\u002Fspan-evaluator.md) - LLM evaluation\n\n### 4. Organization\n\n- [projects-python](references\u002Fprojects-python.md) \u002F [projects-typescript](references\u002Fprojects-typescript.md) - Group traces by application\n- [sessions-python](references\u002Fsessions-python.md) \u002F [sessions-typescript](references\u002Fsessions-typescript.md) - Track conversations\n\n### 5. Enrichment\n\n- [metadata-python](references\u002Fmetadata-python.md) \u002F [metadata-typescript](references\u002Fmetadata-typescript.md) - Custom attributes\n\n### 6. Production (CRITICAL)\n\n- [production-python](references\u002Fproduction-python.md) \u002F [production-typescript](references\u002Fproduction-typescript.md) - Batch processing, PII masking\n\n### 7. Feedback\n\n- [annotations-overview](references\u002Fannotations-overview.md) - Feedback concepts\n- [annotations-python](references\u002Fannotations-python.md) \u002F [annotations-typescript](references\u002Fannotations-typescript.md) - Add feedback to spans\n\n### Reference Files\n\n- [fundamentals-overview](references\u002Ffundamentals-overview.md) - Traces, spans, attributes basics\n- [fundamentals-required-attributes](references\u002Ffundamentals-required-attributes.md) - Required fields per span type\n- [fundamentals-universal-attributes](references\u002Ffundamentals-universal-attributes.md) - Common attributes (user.id, session.id)\n- [fundamentals-flattening](references\u002Ffundamentals-flattening.md) - JSON flattening rules\n- [attributes-messages](references\u002Fattributes-messages.md) - Chat message format\n- [attributes-metadata](references\u002Fattributes-metadata.md) - Custom metadata schema\n- [attributes-graph](references\u002Fattributes-graph.md) - Agent workflow attributes\n- [attributes-exceptions](references\u002Fattributes-exceptions.md) - Error tracking\n\n## Common Workflows\n\n- **Quick Start**: setup-{lang} → instrumentation-auto-{lang} → Check Phoenix\n- **Custom Spans**: setup-{lang} → instrumentation-manual-{lang} → span-{type}\n- **Session Tracking**: sessions-{lang} for conversation grouping patterns\n- **Production**: production-{lang} for batching, masking, and deployment\n\n## How to Use This Skill\n\n**Navigation Patterns:**\n\n```bash\n# By category prefix\nreferences\u002Fsetup-*              # Installation and configuration\nreferences\u002Finstrumentation-*    # Auto and manual tracing\nreferences\u002Fspan-*               # Span type specifications\nreferences\u002Fsessions-*           # Session tracking\nreferences\u002Fproduction-*         # Production deployment\nreferences\u002Ffundamentals-*       # Core concepts\nreferences\u002Fattributes-*         # Attribute specifications\n\n# By language\nreferences\u002F*-python.md          # Python implementations\nreferences\u002F*-typescript.md      # TypeScript implementations\n```\n\n**Reading Order:**\n1. Start with setup-{lang} for your language\n2. Choose instrumentation-auto-{lang} OR instrumentation-manual-{lang}\n3. Reference span-{type} files as needed for specific operations\n4. See fundamentals-* files for attribute specifications\n\n## References\n\n**Phoenix Documentation:**\n\n- [Phoenix Documentation](https:\u002F\u002Fdocs.arize.com\u002Fphoenix)\n- [OpenInference Spec](https:\u002F\u002Fgithub.com\u002FArize-ai\u002Fopeninference\u002Ftree\u002Fmain\u002Fspec)\n\n**Python API Documentation:**\n\n- [Python OTEL Package](https:\u002F\u002Farize-phoenix.readthedocs.io\u002Fprojects\u002Fotel\u002Fen\u002Flatest\u002F) - `arize-phoenix-otel` API reference\n- [Python Client Package](https:\u002F\u002Farize-phoenix.readthedocs.io\u002Fprojects\u002Fclient\u002Fen\u002Flatest\u002F) - `arize-phoenix-client` API reference\n\n**TypeScript API Documentation:**\n\n- [TypeScript Packages](https:\u002F\u002Farize-ai.github.io\u002Fphoenix\u002F) - `@arizeai\u002Fphoenix-otel`, `@arizeai\u002Fphoenix-client`, and other TypeScript packages\n","# Phoenix Tracing\n\nComprehensive guide for instrumenting LLM applications with OpenInference tracing in Phoenix. Contains reference files covering setup, instrumentation, span types, and production deployment.\n\n## When to Apply\n\nReference these guidelines when:\n\n- Setting up Phoenix tracing (Python or TypeScript)\n- Creating custom spans for LLM operations\n- Adding attributes following OpenInference conventions\n- Deploying tracing to production\n- Querying and analyzing trace data\n\n## Reference Categories\n\n| Priority | Category        | Description                    | Prefix                     |\n| -------- | --------------- | ------------------------------ | -------------------------- |\n| 1        | Setup           | Installation and configuration | `setup-*`                  |\n| 2        | Instrumentation | Auto and manual tracing        | `instrumentation-*`        |\n| 3        | Span Types      | 9 span kinds with attributes   | `span-*`                   |\n| 4        | Organization    | Projects and sessions          | `projects-*`, `sessions-*` |\n| 5        | Enrichment      | Custom metadata                | `metadata-*`               |\n| 6        | Production      | Batch processing, masking      | `production-*`             |\n| 7        | Feedback        | Annotations and evaluation     | `annotations-*`            |\n\n## Quick Reference\n\n### 1. Setup (START HERE)\n\n- [setup-python](references\u002Fsetup-python.md) - Install arize-phoenix-otel, configure endpoint\n- [setup-typescript](references\u002Fsetup-typescript.md) - Install @arizeai\u002Fphoenix-otel, configure endpoint\n\n### 2. Instrumentation\n\n- [instrumentation-auto-python](references\u002Finstrumentation-auto-python.md) - Auto-instrument OpenAI, LangChain, etc.\n- [instrumentation-auto-typescript](references\u002Finstrumentation-auto-typescript.md) - Auto-instrument supported frameworks\n- [instrumentation-manual-python](references\u002Finstrumentation-manual-python.md) - Custom spans with decorators\n- [instrumentation-manual-typescript](references\u002Finstrumentation-manual-typescript.md) - Custom spans with wrappers\n\n### 3. Span Types (with full attribute schemas)\n\n- [span-llm](references\u002Fspan-llm.md) - LLM API calls (model, tokens, messages, cost)\n- [span-chain](references\u002Fspan-chain.md) - Multi-step workflows and pipelines\n- [span-retriever](references\u002Fspan-retriever.md) - Document retrieval (documents, scores)\n- [span-tool](references\u002Fspan-tool.md) - Function\u002FAPI calls (name, parameters)\n- [span-agent](references\u002Fspan-agent.md) - Multi-step reasoning agents\n- [span-embedding](references\u002Fspan-embedding.md) - Vector generation\n- [span-reranker](references\u002Fspan-reranker.md) - Document re-ranking\n- [span-guardrail](references\u002Fspan-guardrail.md) - Safety checks\n- [span-evaluator](references\u002Fspan-evaluator.md) - LLM evaluation\n\n### 4. Organization\n\n- [projects-python](references\u002Fprojects-python.md) \u002F [projects-typescript](references\u002Fprojects-typescript.md) - Group traces by application\n- [sessions-python](references\u002Fsessions-python.md) \u002F [sessions-typescript](references\u002Fsessions-typescript.md) - Track conversations\n\n### 5. Enrichment\n\n- [metadata-python](references\u002Fmetadata-python.md) \u002F [metadata-typescript](references\u002Fmetadata-typescript.md) - Custom attributes\n\n### 6. Production (CRITICAL)\n\n- [production-python](references\u002Fproduction-python.md) \u002F [production-typescript](references\u002Fproduction-typescript.md) - Batch processing, PII masking\n\n### 7. Feedback\n\n- [annotations-overview](references\u002Fannotations-overview.md) - Feedback concepts\n- [annotations-python](references\u002Fannotations-python.md) \u002F [annotations-typescript](references\u002Fannotations-typescript.md) - Add feedback to spans\n\n### Reference Files\n\n- [fundamentals-overview](references\u002Ffundamentals-overview.md) - Traces, spans, attributes basics\n- [fundamentals-required-attributes](references\u002Ffundamentals-required-attributes.md) - Required fields per span type\n- [fundamentals-universal-attributes](references\u002Ffundamentals-universal-attributes.md) - Common attributes (user.id, session.id)\n- [fundamentals-flattening](references\u002Ffundamentals-flattening.md) - JSON flattening rules\n- [attributes-messages](references\u002Fattributes-messages.md) - Chat message format\n- [attributes-metadata](references\u002Fattributes-metadata.md) - Custom metadata schema\n- [attributes-graph](references\u002Fattributes-graph.md) - Agent workflow attributes\n- [attributes-exceptions](references\u002Fattributes-exceptions.md) - Error tracking\n\n## Common Workflows\n\n- **Quick Start**: setup-{lang} → instrumentation-auto-{lang} → Check Phoenix\n- **Custom Spans**: setup-{lang} → instrumentation-manual-{lang} → span-{type}\n- **Session Tracking**: sessions-{lang} for conversation grouping patterns\n- **Production**: production-{lang} for batching, masking, and deployment\n\n## How to Use This Skill\n\n**Navigation Patterns:**\n\n```bash\n# By category prefix\nreferences\u002Fsetup-*              # Installation and configuration\nreferences\u002Finstrumentation-*    # Auto and manual tracing\nreferences\u002Fspan-*               # Span type specifications\nreferences\u002Fsessions-*           # Session tracking\nreferences\u002Fproduction-*         # Production deployment\nreferences\u002Ffundamentals-*       # Core concepts\nreferences\u002Fattributes-*         # Attribute specifications\n\n# By language\nreferences\u002F*-python.md          # Python implementations\nreferences\u002F*-typescript.md      # TypeScript implementations\n```\n\n**Reading Order:**\n1. Start with setup-{lang} for your language\n2. Choose instrumentation-auto-{lang} OR instrumentation-manual-{lang}\n3. Reference span-{type} files as needed for specific operations\n4. See fundamentals-* files for attribute specifications\n\n## References\n\n**Phoenix Documentation:**\n\n- [Phoenix Documentation](https:\u002F\u002Fdocs.arize.com\u002Fphoenix)\n- [OpenInference Spec](https:\u002F\u002Fgithub.com\u002FArize-ai\u002Fopeninference\u002Ftree\u002Fmain\u002Fspec)\n\n**Python API Documentation:**\n\n- [Python OTEL Package](https:\u002F\u002Farize-phoenix.readthedocs.io\u002Fprojects\u002Fotel\u002Fen\u002Flatest\u002F) - `arize-phoenix-otel` API reference\n- [Python Client Package](https:\u002F\u002Farize-phoenix.readthedocs.io\u002Fprojects\u002Fclient\u002Fen\u002Flatest\u002F) - `arize-phoenix-client` API reference\n\n**TypeScript API Documentation:**\n\n- [TypeScript Packages](https:\u002F\u002Farize-ai.github.io\u002Fphoenix\u002F) - `@arizeai\u002Fphoenix-otel`, `@arizeai\u002Fphoenix-client`, and other TypeScript packages\n",{"name":5,"license":14,"metadata":43,"description":7,"compatibility":47},{"author":44,"version":45,"languages":46},"oss@arize.com","1.0.0","Python, TypeScript","Requires Phoenix server. 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