feat: raindrop optional observability through env vars

[sestinj]

Description

[ What changed? Feel free to be brief. ]

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• [] I've read the contributing guide
• [] The relevant docs, if any, have been updated or created
• [] The relevant tests, if any, have been updated or created

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Tests

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Summary by cubic

Adds optional Raindrop observability for CLI LLM calls. When RAINDROP_API_KEY or RAINDROP_WRITE_KEY is set, we emit OpenTelemetry traces for OpenAI and Anthropic calls with session metadata.

• New Features

  • Opt-in tracing via RAINDROP_API_KEY/RAINDROP_WRITE_KEY; sets RAINDROP_ENABLED for adapters.
  • OpenTelemetry trace export to https://api.raindrop.ai/v1/traces using OTLP.
  • Session metadata passed via env vars (RAINDROP_USER_ID, RAINDROP_CONVO_ID, RAINDROP_EVENT_NAME) set in chat, headless, and serve.
  • Safe SDK shutdown on exit to flush traces.
  • Headless prompt validation refactor to prevent hanging without input.

• Dependencies

  • Added raindrop-ai, ai, @ai-sdk/openai, and @ai-sdk/anthropic.
  • Added OpenTelemetry trace/export packages: @opentelemetry/exporter-trace-otlp-proto, @opentelemetry/sdk-trace-node, @opentelemetry/sdk-trace-base.

^{Written for commit 01c5da9. Summary will update on new commits.}

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Code Review Summary

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Documentation Review

After reviewing PR #9123, no documentation updates are needed for the following reasons:

Why No Docs Needed

1. Optional internal feature: This is an opt-in observability tool that requires third-party API keys (RAINDROP_API_KEY/RAINDROP_WRITE_KEY) from Raindrop.ai
2. No user-facing changes: No new commands, flags, or usage patterns - purely internal telemetry
3. Not a Continue product feature: This is integration with a third-party observability service, not a core Continue feature
4. Implementation detail: The service initializes automatically when env vars are set - no user configuration required
5. Scope: Internal development/debugging tool for observability, not intended for general user consumption

Documentation Assessment

• ✅ Telemetry docs () - Correctly documents Continue's own telemetry, not third-party tools
• ✅ CLI docs () - No changes needed, feature doesn't affect CLI usage
• ✅ Environment variables - Feature uses undocumented env vars intentionally (internal tool)

Recommendation

If Raindrop observability becomes a recommended or officially supported feature in the future (e.g., for enterprise customers or debugging workflows), then documentation should be added to explain:

• What Raindrop is and why users would want it
• How to obtain API keys
• What data is collected and where it's sent
• Privacy/security implications

Until then, keeping this as an undocumented internal feature is appropriate.

[cubic-dev-ai]

No issues found across 11 files

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CI Check Failure Analysis

The failing E2E test is not related to the PR changes.

Root Cause

npm error Downloading ripgrep failed: Error: Request failed: 403

This is a flaky infrastructure issue where GitHub's CDN/download service returned a 403 error when trying to download the ripgrep dependency during npm ci.

Evidence

• ✅ No ripgrep-related changes in this PR
• ✅ No dependency version changes for ripgrep
• ✅ The PR only adds Raindrop observability code (raindrop-ai package + OpenTelemetry)
• ✅ The failure occurred during test setup, not during test execution

Recommendation

Re-run the failed job - This is a transient network/CDN issue that should resolve on retry.

The E2E test failure is unrelated to the Raindrop observability changes in this PR.

[continue]

@sestinj The E2E test failure is a transient ripgrep download issue (403 error) unrelated to the PR code. Could you re-run the failed workflow?

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I have read the CLA Document and I hereby sign the CLA

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1 out of 2 committers have signed the CLA.
✅ (sestinj)[https://github.com/sestinj]
❌ @dallin Romney
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