Results for “arize”

17 skills
More results
github
arize-instrumentation
Adds Arize AX tracing to LLM applications using a two-phase agent-assisted flow that analyzes the codebase before implementing instrumentation.
36.2k · bundle
github
arize-annotation
Creates and manages annotation configs and annotation queues on Arize, and applies human annotations to project spans via the Python SDK.
36.2k · bundle
eryajf
arize-trace
Downloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation using the ax CLI. Use when the user wants to look at existing trace data, see what their LLM app is doing, export traces, download spans, investigate errors, or analyze behavior regressions.
0 · bundle
eryajf
arize-link
Generates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs. Produces clickable URLs for sharing Arize resources with team members. Use when the user wants to link to or open a trace, span, session, dataset, evaluator, or annotation config in the Arize UI.
0 · bundle
bankrbot
azzle
Post, claim, and settle agent tasks on the AZZLE protocol (Base mainnet, USDC escrow). Requires Bankr for swaps, approvals, and on-chain execution.
1.2k · bundle
microsoft
azure-ai-document-intelligence-ts
Extract text, tables, and structured data from documents using Azure Document Intelligence. Process invoices, receipts, IDs, forms, or build custom document models.
2.7k
microsoft
azure-ai-vision-imageanalysis-py
Analyze images using Azure AI Vision SDK: generate captions, tags, detect objects, extract text (OCR), detect people, and suggest smart crops.
2.7k
microsoft
azure-ai-formrecognizer-java
Extract text, tables, key-value pairs, and structured fields from documents, receipts, invoices, and IDs using Azure AI Document Intelligence SDK for Java.
2.7k · bundle
orchestra-research
phoenix-observability
Trace, evaluate, and monitor LLM applications with an open-source observability platform.
10.4k · bundle
github
phoenix-tracing
Instrument LLM applications with OpenInference tracing for Phoenix AI observability, covering setup, custom spans, and production deployment.
36.2k · bundle
github
phoenix-cli
Debug LLM applications using the Phoenix CLI: fetch traces, analyze errors, structure trace review with open and axial coding, inspect datasets, review experiments, and query the GraphQL API.
36.2k · bundle