OpenLLMetry is an observability toolkit that adds OpenTelemetry-based tracing and measurements to applications using large language models. Developers use it to monitor LLM providers and vector databases through existing observability systems.
Borrowing it
Nothing to install: this file belongs to traceloop/openllmetry. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/traceloop/openllmetry/main/CLAUDE.mdgit clone --depth 1 https://github.com/traceloop/openllmetryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/traceloop/openllmetry/claude-md)<a href="https://agentmods.dev/instructions/traceloop/openllmetry/claude-md"><img src="https://agentmods.dev/badge/instructions/traceloop/openllmetry/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/traceloop/openllmetry/claude-md"><img src="https://agentmods.dev/badge/instructions/traceloop/openllmetry/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00636 | $0.00636 |
| Opus 5.5 | $0.00254 | $0.00254 |
| Sonnet 5.5 | $0.00127 | $0.00127 |
| Haiku 4.5 | $0.00064 | $0.00064 |
Grade A, and why
openllmetry CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenLLMetry Repository Guide
Repository Structure
This repository contains multiple PyPI-publishable packages organized and orchestrated using Nx workspace management.
Nx Workspace Commands
# Run tests across all packages
nx run-many -t test
# Run linting across all packages
nx run-many -t lint
# Update lock files across all packages
nx run-many -t lock
# Run specific targets on specific packages
nx run <package-name>:test
nx run <package-name>:lint
# Show project graph
nx graph
# Show what's affected by changes
nx affected:test
nx affected:lint
Package Management
All packages use uv as the package manager. Always execute commands through uv:
uv run <command>
Testing with VCR Cassettes
Tests utilize VCR cassettes for API calls.
Commands
# Run tests normally (uses existing cassettes)
uv run pytest tests/
# Re-record all cassettes (requires API keys)
uv run pytest tests/ --record-mode=all
# Record only new test episodes
uv run pytest tests/ --record-mode=new_episodes
# Record cassettes once (if they don't exist)
uv run pytest tests/ --record-mode=once
# Run tests without recording (fails if cassettes missing)
uv run pytest tests/ --record-mode=none
# Run specific test files
uv run pytest tests/test_agents.py --record-mode=once
Guidance
Re-record cassettes when API interactions change to ensure test accuracy. Never commit secrets or PII. Scrub them using VCR filters (e.g., filter_headers, before_record) or your test framework's equivalent. Store API keys only in environment variables/secure vaults; never in code or cassettes. Typical record modes you may use: once, new_episodes, all, none (choose per test needs). Creating new cassettes requires valid API keys (OpenAI, Anthropic, etc.); ask the user to provide them if needed.
Debugging with Console Span Exporter
For debugging OpenTelemetry spans and hierarchy issues, use the console exporter:
from opentelemetry.sdk.trace.export import ConsoleSpanExporter
from traceloop.sdk import Traceloop
Traceloop.init(
app_name="debug-app",
exporter=ConsoleSpanExporter(),
# other config...
)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 90 lines · 636 tokens per session scan A ffc80cec3877
openllmetry CLAUDE.md is an instructions file published in the GitHub repository traceloop/openllmetry (7,523 stars, last pushed yesterday), licensed Apache-2.0. It adds 636 tokens to every session, about $0.0025 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
openllmetry CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| openllmetry CLAUDE.mdtraceloop/openllmetry | Instructions file | 7.5k | yesterday | Apache-2.0 | A | 636 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |