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docs: mention AI observability (#10903)

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The change adds `AI observability` section to `AI tools` documentation.
It mentions excellent @Amper articles describing these integrations in
all details.

The doc change doesn't repeat the articles, but rather helps users to
discover them.

Signed-off-by: hagen1778 <roman@victoriametrics.com>
This commit is contained in:
Roman Khavronenko
2026-04-29 20:00:49 +02:00
committed by GitHub
parent ed8ebb8314
commit 403d32f57f
1 changed files with 22 additions and 5 deletions
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27
docs/ai-tools/README.md
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@@ -1,6 +1,11 @@
VictoriaMetrics Observability Stack integrates with AI assistants through MCP servers and agent skills.
These integrations allow AI agents and automation tools to query metrics, logs, and traces, analyze telemetry data,
and assist engineers with debugging and observability tasks.
VictoriaMetrics Observability Stack integrates with AI assistants through [MCP servers](https://docs.victoriametrics.com/ai-tools/#mcp-servers)
and [agent skills](https://docs.victoriametrics.com/ai-tools/#agent-skills).
The integrations allow AI agents and automation tools to query Metrics, Logs, and Traces, analyze telemetry data,
and assist engineers with debugging, observability tasks, root cause analysis, anomaly detection, etc.
Support of [OpenTelemetry](https://docs.victoriametrics.com/opentelemetry/) for Metrics, Logs, and Traces
makes VictoriaMetrics Observability Stack optimal for [AI observability](https://docs.victoriametrics.com/ai-tools/#ai-observability).
Any SDK or AI assistant that can emit telemetry signals in OpenTelemetry format can be integrated with VictoriaMetrics.
# MCP Servers
@@ -72,7 +77,6 @@ Capabilities include:
See more details at [VictoriaMetrics/mcp-vmanomaly](https://github.com/VictoriaMetrics/mcp-vmanomaly).
# Agent Skills
[Agent skills](https://github.com/VictoriaMetrics/skills) help AI agents and automation tools understand, operate,
@@ -90,4 +94,17 @@ To install the available skills for AI agents, run:
npx skills add VictoriaMetrics/skills
```
See more details at [VictoriaMetrics/skills](https://github.com/VictoriaMetrics/skills).
See more details at [VictoriaMetrics/skills](https://github.com/VictoriaMetrics/skills).
# AI observability
VictoriaMetrics Observability Stack is optimal for monitoring AI agents using auto-instrumentation libraries
like [OpenLLMetry](https://github.com/traceloop/openllmetry), [OpenInference](https://github.com/Arize-ai/openinference),
[OpenLIT](https://victoriametrics.com/blog/ai-agents-observability/#using-openlit).
Please see more details in [AI Agents Observability with OpenTelemetry and the VictoriaMetrics Stack](https://victoriametrics.com/blog/ai-agents-observability).
AI code assistants like Claude Code, OpenAI Codex, Gemini CLI, Qwen Code, and OpenCode expose internal telemetry that
helps to monitor cost usage, analytics, performance, compliance and improves troubleshooting experience. All major
AI coding tools support OpenTelemetry and can be easily integrated into VictoriaMetrics Observability Stack.
Please see more details in [Vibe coding tools observability with VictoriaMetrics Stack and OpenTelemetry
](https://victoriametrics.com/blog/vibe-coding-observability/).