Add LLM cost change analysis to CI#737
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Adds a CI workflow that runs tokentoll on pull requests to detect changes in LLM API calls (model swaps, new call sites, removed endpoints) and posts the cost impact as a PR comment. The action is pinned to SHA 753ca4d1150c74169b52a843439049b65e256d2b (v0.6.1) and installs tokentoll==v0.6.1 from PyPI. Zero runtime dependencies.
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Summary
Add tokentoll GitHub Action to analyze LLM API cost changes on pull requests.
When a PR modifies code that makes LLM API calls (model swaps, max_tokens changes, new call sites), tokentoll posts a comment showing the projected cost impact. It stays silent on PRs that don't touch LLM code.
What it detects
tokentoll uses Python AST analysis (zero runtime dependencies) to find calls to:
chat.completions.create,responses.create,embeddings.create)messages.create)generate_content)completion,embedding)ChatOpenAI,ChatAnthropic,init_chat_model)ZhipuAiClient,ZhipuAI)Current scan of this project
tokentoll Scan Report
api/agent/core/llm_utils.pyapi/agent/core/llm_utils.pyapi/agent/tools/outbound_duplicate_guard.pyconsole/api_views.pyscripts/marketing/email-campaign.pyscripts/prototype/agent.pyTotal estimated monthly cost: $232.16
Assumptions
Generated by tokentoll
How it works
Changes
.github/workflows/llm-costs.yml(17 lines)