Monitor and optimize LLM costs using Langfuse analytics and dashboards. Use when tracking LLM spending, identifying cost anomalies, or implementing cost controls for AI applications. Trigger with phrases like "langfuse costs", "LLM spending", "track AI costs", "langfuse token usage", "optimize LLM budget".
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Low
Low-risk findings worth noting
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tessl review fix ./plugins/saas-packs/langfuse-pack/skills/langfuse-cost-tuning/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The workflow reads cost/token data by calling Langfuse Metrics API endpoints like `langfuse.api.traces.list(...)` and `langfuse.api.observations.list(...)`, which return prior generation/observation text and metadata from the user’s Langfuse project; an outsider who can post arbitrary traces/observations into that project can poison the free text that the LLM ingests during report/dashboard runs.
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