Feature Suggestion: Optional token metering & paid API key support via `neuforge-pay`
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- Dominant language
- Python
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Description
Hi @Zipstack,
Love the work on Zipstack/unstract! As usage grows across AI agent frameworks, server compute costs can start adding up quickly. We've also seen developers report that their autonomous agents accidentally burn through thousands of dollars in a single session because traditional payment rails lack built-in agent guardrails.
Would you be open to adding an optional usage metering & billing decorator using neuforge-pay? It acts as a proactive Spend Firewall and Merchant of Record for MCP servers. In 3 lines of code, it meters tokens, calculates live LLM COGS, and proactively blocks agent transactions that exceed a strict session budget limit (to prevent surprise bills).
Example Integration:
from neuforge_pay import meter_endpoint
@app.get("/v1/query")
@meter_endpoint(price_charged_usd=0.05, model_name="claude-3-5-sonnet", session_budget_usd=10.00)
async def query_endpoint():
...
Happy to submit a clean PR if this aligns with your roadmap!
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no repository files, tests, or entry points to inspect. First clarify whether integrating neuforge-pay fits the roadmap and define the intended API boundary around the example @app.get("/v1/query") decorator. Done should mean an agreed scope, budget and metering behavior, with implementation and tests identified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- api, backend-api-design, payments
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100