name	respan
description	Respan for LLM observability. Use to set up tracing or the gateway, manage prompts (create/version/deploy), run evals, experiments, and datasets, or work with traces and logs. Trigger for any Respan platform task or when instrumenting an app to send telemetry to Respan.

Respan

Use the Respan CLI and SDK for LLM observability — tracing, evals, prompts, datasets, and gateway routing.

When To Use

Set up tracing (instrument your app to capture LLM calls — install + decorators, propagation, processors) → read references/tracing.md
Set up gateway (route LLM calls through the Respan proxy — wiring + model switching, fallbacks, caching) → read references/gateway.md
Prompt management (create, version, deploy) → read references/prompts.md
Evals (datasets, evaluators, experiments) → read references/evals.md
Monitors & automation (alerts, online evals, webhooks) → read references/monitors.md

Tracing and gateway are separate setups — configure one at a time, never both in the same pass.

Core Principles

Read the reference first. Each reference file has the exact setup steps, API patterns, MCP tools, and CLI commands.
Use MCP tools for platform operations (prompts, datasets, evaluators, experiments, traces, logs).
Use CLI when MCP is not available: respan traces list, respan prompts list, etc.
Fetch docs for integration-specific details not covered in references.

Quick Reference

Task	Reference / Command
Set up tracing (steps + decorators, propagation)	references/tracing.md
Set up gateway (steps + features)	references/gateway.md
Prompt management	references/prompts.md
Evals & experiments	references/evals.md
Monitors & automation	references/monitors.md
List traces	`respan traces list --limit 10`
View a trace	`respan traces get <id>`
Check auth	`respan auth status`

Documentation Access

Any doc page can be fetched as markdown: https://respan.ai/docs/integrations/openai-sdk.md https://respan.ai/docs/sdks/typescript-sdk/overview.md

Full docs index: https://www.respan.ai/docs/llms.txt

Platform: https://platform.respan.ai

Respan

Use the Respan CLI and SDK for LLM observability — tracing, evals, prompts, datasets, and gateway routing.

When To Use

Set up tracing (instrument your app to capture LLM calls — install + decorators, propagation, processors) → read references/tracing.md

Set up gateway (route LLM calls through the Respan proxy — wiring + model switching, fallbacks, caching) → read references/gateway.md

Prompt management (create, version, deploy) → read references/prompts.md

Evals (datasets, evaluators, experiments) → read references/evals.md

Monitors & automation (alerts, online evals, webhooks) → read references/monitors.md

Tracing and gateway are separate setups — configure one at a time, never both in the same pass.

Core Principles

Read the reference first. Each reference file has the exact setup steps, API patterns, MCP tools, and CLI commands.

Use MCP tools for platform operations (prompts, datasets, evaluators, experiments, traces, logs).

Use CLI when MCP is not available: respan traces list, respan prompts list, etc.

Fetch docs for integration-specific details not covered in references.

Quick Reference

Task

Reference / Command

Set up tracing (steps + decorators, propagation)

references/tracing.md

Set up gateway (steps + features)

references/gateway.md

Prompt management

references/prompts.md

Evals & experiments

references/evals.md

Monitors & automation

references/monitors.md

List traces

respan traces list --limit 10

View a trace

respan traces get <id>

Check auth

respan auth status

Documentation Access

Any doc page can be fetched as markdown: https://respan.ai/docs/integrations/openai-sdk.md https://respan.ai/docs/sdks/typescript-sdk/overview.md

Full docs index: https://www.respan.ai/docs/llms.txt

Platform: https://platform.respan.ai