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feat: route nofxos data requests through claw402 x402 payment

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When CLAW402_WALLET_KEY env var is set, all nofxos.ai data API calls
(AI500, OI rankings, NetFlow, price rankings, etc.) are automatically
routed through claw402.ai with x402 USDC payment instead of direct
free access.

- New Claw402DataClient for GET requests with x402 payment flow
- Endpoint mapping: /api/xxx -> /api/v1/nofx/xxx
- MakeClaw402SignFunc helper for reusable payment signing
- Auto-detection: if CLAW402_WALLET_KEY is set, claw402 mode activates
- Fallback: without wallet key, direct nofxos.ai access (backward compatible)

Env vars:
  CLAW402_WALLET_KEY=0x...  # wallet private key for payment
  CLAW402_URL=https://claw402.ai  # optional, defaults to claw402.ai
This commit is contained in:
shinchan-zhai
2026-03-25 01:05:31 +08:00
parent cd6fe62e16
commit f1a0725130
12 changed files with 1812 additions and 48 deletions
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27
agent/agent.go
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@@ -388,7 +388,7 @@ func (a *Agent) thinkAndActStream(ctx context.Context, userID int64, lang, text
return a.noAIFallback(lang, text)
}
// No tool calls → done with tool loop
// No tool calls → LLM is done deciding, produce final response
if len(resp.ToolCalls) == 0 {
if !toolsUsed {
// No tools were ever called — the non-streaming probe already has the answer.
@@ -397,8 +397,10 @@ func (a *Agent) thinkAndActStream(ctx context.Context, userID int64, lang, text
a.history.Add(userID, "assistant", resp.Content)
return resp.Content, nil
}
// Tools were used in previous rounds, LLM gave final answer without streaming.
// This shouldn't normally happen (we break and stream below), but handle it.
// Tools were used in previous rounds. Stream the final response
// for better UX (the non-streaming probe gave us text, but for
// consistency with the streaming contract, re-request with streaming).
// However, resp.Content already has the answer so just emit it.
onEvent(StreamEventDelta, resp.Content)
a.history.Add(userID, "assistant", resp.Content)
return resp.Content, nil
@@ -420,20 +422,17 @@ func (a *Agent) thinkAndActStream(ctx context.Context, userID int64, lang, text
messages = append(messages, mcp.Message{Role: "tool", Content: result, ToolCallID: tc.ID})
}
// After tool execution, stream the next LLM response for real-time UX.
// Omit tools so LLM can't start another tool round — it must produce text.
streamReq := &mcp.Request{Messages: messages, Ctx: ctx}
streamText, streamErr := a.aiClient.CallWithRequestStream(streamReq, func(chunk string) {
onEvent(StreamEventDelta, chunk)
})
if streamErr != nil {
a.logger.Error("stream post-tool response failed", "error", streamErr, "round", round)
return a.noAIFallback(lang, text)
// If this is the last allowed round, break to stream the final response below.
// Otherwise, continue loop — next iteration's CallWithRequestFull will check
// if LLM wants more tools.
if round == maxToolRounds-1 {
break
}
a.history.Add(userID, "assistant", streamText)
return streamText, nil
}
// Stream the final response after all tool rounds are complete.
// Omit tools so LLM produces text, not more tool calls.
// Exhausted all tool rounds — stream the final synthesis response
finalReq := &mcp.Request{Messages: messages, Ctx: ctx}
finalText, err := a.aiClient.CallWithRequestStream(finalReq, func(chunk string) {