القائمة
Route model calls through Helicone, inspect costs, latency, traces, prompts, and evaluations, then review changes before they ship.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Use Vocode to compose transcription, LLM, speech synthesis, and telephony components into reviewable real-time voice-agent workflows.
Use Claude Legal Skill to guide an agent through contract risk review, CUAD-style clause checks, market benchmarks, and lawyer-ready redline suggestions.
Use SWE-ReX when a coding agent needs a consistent runtime interface for local, containerized, or remote shell sessions with command output, exit codes, interactive tools, and parallel execution.
Use Text Extract API when an agent needs to turn PDFs, Office files, or images into Markdown or structured JSON with local OCR, optional Ollama models, PII removal, and queued batch processing.
Launch an OpenAI-compatible OpenLLM server for a chosen open model, point an agent runtime at it, and compare behavior before production use.
Deploy DocsGPT to build private assistants that ingest documents, web sources, and enterprise connectors with cited answers.
| name | Monitor and evaluate LLM agent traffic with Helicone |
| slug | monitor-and-evaluate-llm-agent-traffic-with-helicone |
| description | Route model calls through Helicone, inspect costs, latency, traces, prompts, and evaluations, then review changes before they ship. |
| github_stars | 5779 |
| verification | security_reviewed |
| source | https://github.com/Helicone/helicone |
| author | Helicone |
| publisher_type | organization |
| category | Monitoring & Alerts |
| framework | Multi-Framework |
| tool_ecosystem | {"github_repo":"Helicone/helicone","github_stars":5779,"npm_package":"helicone","npm_weekly_downloads":49} |
Route model calls through Helicone, inspect costs, latency, traces, prompts, and evaluations, then review changes before they ship.
Helicone account or self-hosted Helicone deployment, LLM application or agent using an OpenAI-compatible client, configured HELICONE_API_KEY or self-hosted environment.
Use the upstream install or setup path that matches your environment:
Requirements and caveats from upstream:
Basic usage or getting-started notes:
Get your API key by signing up here and add credits at helicone.ai/credits
Update the baseURL in your code and add your API key.
typescript
Extracted from upstream docs: https://raw.githubusercontent.com/Helicone/helicone/HEAD/README.md
