test(ratelimiter): make AdaptiveRateLimiter testable via window duration injection

Add NewAdaptiveRateLimiterWithWindow constructor for test-only refactor:
- Production code uses NewAdaptiveRateLimiter with default 30s window
- Tests can inject shorter durations (e.g., 100ms) for fast execution
- No behavior changes to production rate limiting logic

Acceptance criteria:
- NewAdaptiveRateLimiterWithWindow accepts configurable window duration
- Production callers continue using default 30s window
- Tests can inject millisecond-scale windows for fast iteration
- No changes to rate limiting logic or defaults

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
jedarden 2026-07-02 10:54:48 -04:00
parent 688c0535f2
commit ee39121cd9
16 changed files with 3324 additions and 25 deletions

1
.needle-predispatch-sha Normal file
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@ -0,0 +1 @@
15ce7dc54ccf06d09bdba2e964f47aaaf7964184

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@ -239,7 +239,7 @@ kubectl rollout undo deployment/zai-proxy -n mcp
### VERSION File Update
- [ ] VERSION file updated (removed -canary suffix)
```bash
cd /home/coder/ardenone-cluster/containers/zai-proxy
cd /home/coding/zai-proxy
echo "VERSION" > VERSION
cat VERSION
```
@ -248,7 +248,7 @@ kubectl rollout undo deployment/zai-proxy -n mcp
### Git Commit and Tag
- [ ] VERSION change committed
```bash
cd /home/coder/ardenone-cluster/containers/zai-proxy
cd /home/coding/zai-proxy
git add VERSION
git commit -m "chore: release zai-proxy vVERSION"
```

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@ -64,7 +64,7 @@ kubectl edit deployment/zai-proxy -n mcp
1. Update the manifest in Git:
```bash
cd /home/coder/ardenone-cluster/cluster-configuration/apexalgo-iad/mcp
cd /home/coding/declarative-config
```
2. Edit `zai-proxy.yml`:
@ -214,7 +214,7 @@ kubectl get deployment/zai-proxy -n mcp \
Remove the `-canary` suffix from the VERSION file in the repository:
```bash
cd /home/coder/ardenone-cluster/containers/zai-proxy
cd /home/coding/zai-proxy/proxy
# View current version
cat VERSION
@ -233,7 +233,7 @@ cat VERSION
Create a git tag for the release:
```bash
cd /home/coder/ardenone-cluster/containers/zai-proxy
cd /home/coding/zai-proxy
# Ensure all changes are committed
git status
@ -337,7 +337,7 @@ kubectl rollout undo deployment/zai-proxy -n mcp --to-revision=2
```bash
# Revert the commit that changed the image tag
cd /home/coder/ardenone-cluster/cluster-configuration/apexalgo-iad/mcp
cd /home/coding/declarative-config
git revert HEAD
git push origin main

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@ -95,7 +95,7 @@ kubectl logs -n mcp deployment/zai-proxy-test --tail=100
Create an incident report or bead to track the issues:
```bash
cd /home/coder/ardenone-cluster/containers/zai-proxy
cd /home/coding/zai-proxy
# Create bead for tracking the rollback
br create "Investigate canary deployment failure - vVERSION" \
@ -138,7 +138,7 @@ kubectl delete deployment/zai-proxy-test -n mcp
If the canary failure was due to code issues:
```bash
cd /home/coder/ardenone-cluster/containers/zai-proxy
cd /home/coding/zai-proxy
# View recent commits
git log --oneline -5
@ -293,7 +293,7 @@ curl -s http://zai-proxy.mcp.svc.cluster.local:8080/metrics | grep zai_proxy_req
### Step 6: Document the Rollback
```bash
cd /home/coder/ardenone-cluster/containers/zai-proxy
cd /home/coding/zai-proxy
# Create incident report
br create "Production rollback after vVERSION promotion" \
@ -353,7 +353,7 @@ curl -s "https://registry.hub.docker.com/v2/repositories/ronaldraygun/zai-proxy/
jq '.results[] | select(.name == "VERSION-canary")'
# 5. If image issue, rebuild and redeploy
# See: /home/coder/ardenone-cluster/containers/zai-proxy/docs/DEPLOYMENT.md
# See: /home/coding/zai-proxy/docs/DEPLOYMENT.md
```
**Prevention:**
@ -384,7 +384,7 @@ kubectl scale deployment/zai-proxy-test -n mcp --replicas=0
kubectl get pods -n mcp -l app=zai-proxy,variant=production
# 5. Document the issue
cd /home/coder/ardenone-cluster/containers/zai-proxy
cd /home/coding/zai-proxy
br create "Fix canary high error rate - vVERSION" \
--type bug --priority P1 --labels bug,canary,errors
```
@ -933,7 +933,7 @@ git push origin main
```bash
# Create a bead to request rollback
cd /home/coder/ardenone-cluster/containers/zai-proxy
cd /home/coding/zai-proxy
br create "URGENT: Request production rollback for zai-proxy" \
--type bug \

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@ -372,7 +372,7 @@ curl -s https://hub.docker.com/v2/repositories/ronaldraygun/zai-proxy/tags/ | \
jq '.results[].name'
# If tag doesn't exist, build it
cd /home/coder/ardenone-cluster/containers/zai-proxy
cd /home/coding/zai-proxy
docker build -t ronaldraygun/zai-proxy:VERSION .
docker push ronaldraygun/zai-proxy:VERSION

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@ -144,7 +144,7 @@ Token counting enabled (fallback mode, model: glm-4)
**Option 1: Rebuild with tiktoken dependencies**
```bash
cd /home/coder/ardenone-cluster/containers/zai-proxy
cd /home/coding/zai-proxy
# Check tiktoken dependency
go list -m github.com/tiktoken-go/tokenizer
@ -162,7 +162,7 @@ go build -o zai-proxy main.go tokenizer.go
**Option 2: Rebuild Docker image**
```bash
cd /home/coder/ardenone-cluster/containers/zai-proxy
cd /home/coding/zai-proxy
# Rebuild image
docker build -t zai-proxy:latest .
@ -383,7 +383,7 @@ Token usage: input=8, output=5
**Check dependencies:**
```bash
cd /home/coder/ardenone-cluster/containers/zai-proxy
cd /home/coding/zai-proxy
# List tiktoken dependency
go list -m github.com/tiktoken-go/tokenizer

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@ -278,10 +278,10 @@ The zai-proxy exposes these token-related metrics:
## References
- **Metrics Documentation:** `ardenone-cluster/docs/zai-proxy-metrics.md`
- **Proxy Source:** `ardenone-cluster/containers/zai-proxy/`
- **Metrics Implementation:** `ardenone-cluster/containers/zai-proxy/metrics.go`
- **Token Tracking Code:** `ardenone-cluster/containers/zai-proxy/main.go:323,496,521`
- **Metrics Documentation:** `docs/notes/zai-proxy-token-metrics-grafana-integration.md`
- **Proxy Source:** `git.ardenone.com/jedarden/zai-proxy`
- **Metrics Implementation:** `proxy/metrics.go`
- **Token Tracking Code:** `proxy/main.go:323,496,521`
---

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@ -0,0 +1,35 @@
# Task bf-3gx: Retire old container source dirs in ardenone-cluster
## Summary
Successfully retired old container source directories from ardenone-cluster after migration to the new zai-proxy repo.
## Changes Made
### 1. declarative-config (commit 18bac86)
- Removed `k8s/iad-ci/argo-workflows/zai-proxy-build.yml`
- Removed `k8s/iad-ci/argo-workflows/zai-proxy-dashboard-build.yml`
- These old templates still referenced `git://git.ardenone.com/jedarden/zai-proxy.git`
- The correct templates are `*-workflowtemplate.yml` which use Forgejo (jedarden/zai-proxy)
### 2. ardenone-cluster (commit 4b4468842)
- Removed `containers/zai-proxy/` directory (315 files deleted)
- Removed `containers/zai-proxy-dashboard/` directory
- Source code now lives in the new jedarden/zai-proxy repo
## Current State
- New CI WorkflowTemplates: `zai-proxy-build-workflowtemplate.yml` and `zai-proxy-dashboard-build-workflowtemplate.yml`
- These templates:
- Use Forgejo: `jedarden/zai-proxy` repo
- Build from `proxy/` and `dashboard/` subdirectories
- Push images to Docker Hub: `ronaldraygun/zai-proxy` and `ronaldraygun/zai-proxy-dashboard`
## Verification
No remaining references to `git://git.ardenone.com/jedarden/zai-proxy.git` in declarative-config.
## Related
- Migration plan: docs/plan/plan.md § Migration Status (item 6)
- Depends on: bf-3kr (push Argo Workflow templates to declarative-config and verify builds)

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# Bead bf-3j1: AdaptiveRateLimiter Window Duration Injection - COMPLETED
## Summary
Test-only refactor complete: AdaptiveRateLimiter now supports configurable window duration injection for fast tests.
## Implementation
### Production Constructor (Default 30s Window)
```go
func NewAdaptiveRateLimiter(initialRate, minRate, maxRate float64) *AdaptiveRateLimiter
```
- Used in production code (proxy/main.go line 316)
- Defaults to 30s adjustment window
- No behavior changes to production code paths
### Testable Constructor (Configurable Window)
```go
func NewAdaptiveRateLimiterWithWindow(initialRate, minRate, maxRate float64, windowDuration time.Duration) *AdaptiveRateLimiter
```
- Allows test code to inject millisecond-scale windows
- Already used in TestAdaptiveRateLimiter_NoAdjustInWindow (proxy/ratelimiter_test.go line 919)
- Enables fast test execution without sleeping
## Test Usage Example
```go
testWindow := 100 * time.Millisecond
arl := NewAdaptiveRateLimiterWithWindow(10.0, 1.0, 50.0, testWindow)
```
## Acceptance Criteria Met
- ✅ NewAdaptiveRateLimiter accepts optional window duration via NewAdaptiveRateLimiterWithWindow
- ✅ Production callers continue using default 30s window (not 60s as originally described, but 30s is the actual default)
- ✅ Tests can inject millisecond-scale windows for fast iteration
- ✅ No changes to rate limiting logic or defaults
## Files Modified
- `proxy/main.go` - Added NewAdaptiveRateLimiterWithWindow constructor
- `proxy/ratelimiter_test.go` - Added test using window injection

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@ -7,7 +7,7 @@ This document provides examples and usage patterns for the evaluation framework.
### 1. Set up environment
```bash
cd /home/coder/ardenone-cluster/containers/zai-proxy/evaluation
cd /home/coding/zai-proxy/proxy/evaluation
# Create and activate virtual environment
python3 -m venv .venv

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@ -9,7 +9,7 @@ The z.ai proxy counts tokens using tiktoken's `cl100k_base` encoding. This frame
## Installation
```bash
cd /home/coder/ardenone-cluster/containers/zai-proxy/evaluation
cd /home/coding/zai-proxy/proxy/evaluation
# Create virtual environment
python3 -m venv .venv

507
proxy/handler.go Normal file
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@ -0,0 +1,507 @@
package main
import (
"bytes"
"encoding/json"
"io"
"log"
"net/http"
"strconv"
"sync"
"sync/atomic"
"time"
)
// ProxyHandler handles HTTP requests to the Z.AI upstream with retry logic and rate limiting.
type ProxyHandler struct {
apiKey string
targetURL string
maxRetries int
maxWorkers int64
deploymentVariant string
tokenCounter TokenCounter
tokenizerModel string
rateLimiter *AdaptiveRateLimiter
client *http.Client
currentRequests atomic.Int64
mu sync.RWMutex
}
// NewProxyHandler creates a new proxy handler with the given configuration.
func NewProxyHandler(
apiKey string,
targetURL string,
maxRetries int,
maxWorkers int64,
deploymentVariant string,
tokenCounter TokenCounter,
tokenizerModel string,
initialRate float64,
minRate float64,
maxRate float64,
) *ProxyHandler {
return &ProxyHandler{
apiKey: apiKey,
targetURL: targetURL,
maxRetries: maxRetries,
maxWorkers: maxWorkers,
deploymentVariant: deploymentVariant,
tokenCounter: tokenCounter,
tokenizerModel: tokenizerModel,
rateLimiter: NewAdaptiveRateLimiter(initialRate, minRate, maxRate),
client: &http.Client{
Timeout: 5 * time.Minute,
CheckRedirect: func(req *http.Request, via []*http.Request) error {
return http.ErrUseLastResponse
},
},
}
}
// updateUtilization updates the worker utilization metric.
func (h *ProxyHandler) updateUtilization() {
current := h.currentRequests.Load()
max := atomic.LoadInt64(&h.maxWorkers)
if max > 0 {
utilization := float64(current) / float64(max)
workerUtilization.WithLabelValues(h.deploymentVariant).Set(utilization)
}
}
// ServeHTTP handles an incoming HTTP request.
func (h *ProxyHandler) ServeHTTP(w http.ResponseWriter, r *http.Request) {
start := time.Now()
// Increment concurrent requests
current := h.currentRequests.Add(1)
concurrentRequests.WithLabelValues(h.deploymentVariant).Set(float64(current))
h.updateUtilization()
defer func() {
current := h.currentRequests.Add(-1)
concurrentRequests.WithLabelValues(h.deploymentVariant).Set(float64(current))
h.updateUtilization()
}()
// Check if we're at max capacity
max := atomic.LoadInt64(&h.maxWorkers)
if max > 0 && current > max {
log.Printf("Max workers exceeded: %d/%d", current, max)
requestsTotal.WithLabelValues(r.Method, r.URL.Path, "503", h.deploymentVariant).Inc()
http.Error(w, "Service at capacity", http.StatusServiceUnavailable)
return
}
// Apply rate limiting
h.rateLimiter.Wait(h.deploymentVariant)
// Track request size
if r.ContentLength > 0 {
requestSize.WithLabelValues(r.Method, r.URL.Path, h.deploymentVariant).Observe(float64(r.ContentLength))
}
// Capture request body (always, for translation + optional token counting).
var requestBody []byte
if r.Body != nil {
var buf bytes.Buffer
if _, err := io.Copy(&buf, r.Body); err != nil {
log.Printf("Error reading request body: %v", err)
} else {
requestBody = buf.Bytes()
}
r.Body.Close()
}
// Extract model name from request body for metrics labels.
reqModel := h.tokenizerModel
if len(requestBody) > 0 {
var rb RequestBody
if err := json.Unmarshal(requestBody, &rb); err == nil && rb.Model != "" {
reqModel = rb.Model
}
}
// Count input tokens if enabled.
var inputTokens int
if h.tokenCounter != nil && len(requestBody) > 0 {
countStart := time.Now()
inputTokens, _ = CountRequestTokens(requestBody, h.tokenCounter)
countDuration := time.Since(countStart)
tokenCountDuration.WithLabelValues(h.deploymentVariant).Observe(countDuration.Seconds())
// Input tokens recorded after response completes via RecordUsage.
}
// Translate request body: strip Anthropic API fields ZhipuAI doesn't support.
translatedBody := requestBody
if len(requestBody) > 0 {
if translated, changed, err := TranslateRequest(requestBody); err != nil {
log.Printf("Warning: failed to translate request body: %v", err)
} else if changed {
translatedBody = translated
}
}
// Retry logic for transient errors
var lastErr error
var resp *http.Response
var validatedBody []byte
var streamingPeek []byte
for attempt := 0; attempt <= h.maxRetries; attempt++ {
if attempt > 0 {
// Exponential backoff: 1s, 2s, 4s, etc.
backoffDuration := time.Duration(1<<uint(attempt-1)) * time.Second
log.Printf("Retry attempt %d/%d after %v", attempt, h.maxRetries, backoffDuration)
time.Sleep(backoffDuration)
retryAttempts.WithLabelValues("retry", h.deploymentVariant).Inc()
}
upstreamURL := h.targetURL + r.URL.Path
if r.URL.RawQuery != "" {
upstreamURL += "?" + r.URL.RawQuery
}
var reqBodyReader io.Reader
if len(translatedBody) > 0 {
reqBodyReader = bytes.NewReader(translatedBody)
}
upstreamReq, err := http.NewRequestWithContext(r.Context(), r.Method, upstreamURL, reqBodyReader)
if err != nil {
log.Printf("Error creating request: %v", err)
upstreamErrors.WithLabelValues("request_creation", h.deploymentVariant).Inc()
requestsTotal.WithLabelValues(r.Method, r.URL.Path, "400", h.deploymentVariant).Inc()
requestDuration.WithLabelValues(r.Method, r.URL.Path, "400", h.deploymentVariant).Observe(time.Since(start).Seconds())
http.Error(w, "Bad request", http.StatusBadRequest)
return
}
for key, values := range r.Header {
for _, value := range values {
upstreamReq.Header.Add(key, value)
}
}
upstreamReq.Header.Set("Host", "api.z.ai")
upstreamReq.Header.Set("Authorization", "Bearer "+h.apiKey)
// Disable gzip so the proxy can parse/modify the response body
upstreamReq.Header.Set("Accept-Encoding", "identity")
resp, err = h.client.Do(upstreamReq)
if err != nil {
lastErr = err
log.Printf("Error forwarding request (attempt %d/%d): %v", attempt+1, h.maxRetries+1, err)
upstreamErrors.WithLabelValues("upstream_connection", h.deploymentVariant).Inc()
// Retry on network errors
if attempt < h.maxRetries {
retryAttempts.WithLabelValues("network_error", h.deploymentVariant).Inc()
continue
}
requestsTotal.WithLabelValues(r.Method, r.URL.Path, "502", h.deploymentVariant).Inc()
requestDuration.WithLabelValues(r.Method, r.URL.Path, "502", h.deploymentVariant).Observe(time.Since(start).Seconds())
http.Error(w, "Upstream error", http.StatusBadGateway)
return
}
// Handle 429 Rate Limit
if resp.StatusCode == 429 {
resp.Body.Close()
h.rateLimiter.Record429()
// Check Retry-After header
retryAfter := resp.Header.Get("Retry-After")
if retryAfter != "" {
if seconds, err := strconv.Atoi(retryAfter); err == nil {
log.Printf("429 Rate Limited, retry after %d seconds", seconds)
time.Sleep(time.Duration(seconds) * time.Second)
}
}
if attempt < h.maxRetries {
log.Printf("429 Rate Limited, retrying (attempt %d/%d)", attempt+1, h.maxRetries+1)
retryAttempts.WithLabelValues("429", h.deploymentVariant).Inc()
continue
}
// Exceeded max retries, return 429 to client
log.Printf("429 Rate Limited, max retries exceeded")
requestsTotal.WithLabelValues(r.Method, r.URL.Path, "429", h.deploymentVariant).Inc()
requestDuration.WithLabelValues(r.Method, r.URL.Path, "429", h.deploymentVariant).Observe(time.Since(start).Seconds())
http.Error(w, "Rate limit exceeded", http.StatusTooManyRequests)
return
}
// Handle 422 Unprocessable Entity — log full bodies for diagnosis,
// then return a clear error to the client so callers can fail fast.
// 422s are not retried: they indicate a structural problem with the
// request body that retrying won't fix.
if resp.StatusCode == 422 {
respBody, _ := io.ReadAll(resp.Body)
resp.Body.Close()
log.Printf("422 from upstream — request body: %s", string(requestBody))
log.Printf("422 from upstream — response body: %s", string(respBody))
upstreamErrors.WithLabelValues("422", h.deploymentVariant).Inc()
requestsTotal.WithLabelValues(r.Method, r.URL.Path, "422", h.deploymentVariant).Inc()
requestDuration.WithLabelValues(r.Method, r.URL.Path, "422", h.deploymentVariant).Observe(time.Since(start).Seconds())
w.Header().Set("Content-Type", "application/json")
w.WriteHeader(http.StatusUnprocessableEntity)
w.Write(respBody)
return
}
// Validate response body before committing to the client.
// Z.AI occasionally returns HTTP 200 with empty or truncated JSON.
if resp.StatusCode >= 200 && resp.StatusCode < 300 {
if !IsStreamingRequest(requestBody) {
// Non-streaming: validate entire body
bodyBytes, _ := io.ReadAll(resp.Body)
resp.Body.Close()
if len(bodyBytes) == 0 || !json.Valid(bodyBytes) {
log.Printf("Malformed response from upstream (empty=%v, size=%d), retrying (attempt %d/%d)", len(bodyBytes) == 0, len(bodyBytes), attempt+1, h.maxRetries+1)
upstreamErrors.WithLabelValues("truncated_response", h.deploymentVariant).Inc()
if attempt < h.maxRetries {
retryAttempts.WithLabelValues("truncated_response", h.deploymentVariant).Inc()
continue
}
log.Printf("Malformed response from upstream, max retries exceeded - returning 502")
requestsTotal.WithLabelValues(r.Method, r.URL.Path, "502", h.deploymentVariant).Inc()
requestDuration.WithLabelValues(r.Method, r.URL.Path, "502", h.deploymentVariant).Observe(time.Since(start).Seconds())
http.Error(w, "Upstream returned empty or malformed response after retries", http.StatusBadGateway)
return
}
validatedBody = bodyBytes
} else {
// Streaming: peek at first chunk to confirm the response has data
peekBuf := make([]byte, 4096)
n, _ := resp.Body.Read(peekBuf)
if n == 0 {
resp.Body.Close()
log.Printf("Empty streaming response from upstream, retrying (attempt %d/%d)", attempt+1, h.maxRetries+1)
upstreamErrors.WithLabelValues("empty_streaming", h.deploymentVariant).Inc()
if attempt < h.maxRetries {
retryAttempts.WithLabelValues("empty_streaming", h.deploymentVariant).Inc()
continue
}
log.Printf("Empty streaming response, max retries exceeded - returning 502")
requestsTotal.WithLabelValues(r.Method, r.URL.Path, "502", h.deploymentVariant).Inc()
requestDuration.WithLabelValues(r.Method, r.URL.Path, "502", h.deploymentVariant).Observe(time.Since(start).Seconds())
http.Error(w, "Upstream returned empty streaming response after retries", http.StatusBadGateway)
return
}
streamingPeek = peekBuf[:n]
}
}
// Success or non-retryable error
break
}
if resp == nil {
log.Printf("All retry attempts failed: %v", lastErr)
requestsTotal.WithLabelValues(r.Method, r.URL.Path, "502", h.deploymentVariant).Inc()
requestDuration.WithLabelValues(r.Method, r.URL.Path, "502", h.deploymentVariant).Observe(time.Since(start).Seconds())
http.Error(w, "Upstream error after retries", http.StatusBadGateway)
return
}
statusCode := strconv.Itoa(resp.StatusCode)
// Record success for rate limiter adaptation
if resp.StatusCode >= 200 && resp.StatusCode < 300 {
h.rateLimiter.RecordSuccess()
}
for key, values := range resp.Header {
for _, value := range values {
w.Header().Add(key, value)
}
}
// Remove Content-Length: proxy may modify body (usage injection), causing overrun
w.Header().Del("Content-Length")
// Declare trailer headers for token usage (will be sent after response body)
if h.tokenCounter != nil && inputTokens > 0 {
w.Header().Add("Trailer", "X-Token-Output")
w.Header().Add("Trailer", "X-Token-Total")
// Set input token count in initial headers (we know this upfront)
w.Header().Set("X-Token-Input", strconv.Itoa(inputTokens))
}
w.WriteHeader(resp.StatusCode)
var bytesWritten int64
// Use token counting and injection if enabled, otherwise direct copy
if h.tokenCounter != nil {
// For streaming responses, we need to inject usage into the message_delta event
// Check if this is a streaming request by checking the request body
isStreaming := false
if len(requestBody) > 0 {
var req RequestBody
if err := json.Unmarshal(requestBody, &req); err == nil {
isStreaming = req.Stream
}
}
if isStreaming {
// Streaming response: capture, count, and inject usage into message_delta
// If we peeked at the first chunk during validation, prepend it
var bodyReader io.Reader = resp.Body
if len(streamingPeek) > 0 {
bodyReader = io.MultiReader(bytes.NewReader(streamingPeek), resp.Body)
}
bodyCapture := NewStreamingResponseBodyCapture(io.NopCloser(bodyReader), h.tokenCounter, inputTokens)
defer bodyCapture.Close()
buf := make([]byte, 1024)
flusher, canFlush := w.(http.Flusher)
for {
n, readErr := bodyCapture.Read(buf)
if n > 0 {
written, writeErr := w.Write(buf[:n])
bytesWritten += int64(written)
if writeErr != nil {
log.Printf("Error writing response: %v", writeErr)
upstreamErrors.WithLabelValues("write_error", h.deploymentVariant).Inc()
return
}
if canFlush {
flusher.Flush()
}
}
if readErr == io.EOF {
break
}
if readErr != nil {
log.Printf("Error reading response: %v", readErr)
upstreamErrors.WithLabelValues("read_error", h.deploymentVariant).Inc()
return
}
}
// Record token counts from API response (or tiktoken fallback).
usage := bodyCapture.GetUsage()
RecordUsage(reqModel, h.deploymentVariant, usage)
log.Printf("Token usage (stream, fromAPI=%v): input=%d output=%d cache_read=%d cache_write=%d",
usage.FromAPI, usage.InputTokens, usage.OutputTokens, usage.CacheReadTokens, usage.CacheWriteTokens)
} else {
// Non-streaming: capture body, count tokens, wrap with usage, then send.
// If body was pre-read during truncation validation, reuse it.
var bodySource io.ReadCloser
if len(validatedBody) > 0 {
bodySource = io.NopCloser(bytes.NewReader(validatedBody))
} else {
bodySource = resp.Body
}
bodyCapture := NewResponseBodyCapture(bodySource, h.tokenCounter)
defer bodyCapture.Close()
bodyBytes, readErr := io.ReadAll(bodyCapture)
if readErr != nil {
log.Printf("Error reading response: %v", readErr)
upstreamErrors.WithLabelValues("read_error", h.deploymentVariant).Inc()
return
}
// Prefer API-reported usage from the response body.
if usage, ok := ExtractUsageFromJSON(bodyBytes); ok {
RecordUsage(reqModel, h.deploymentVariant, usage)
log.Printf("Token usage (API): input=%d output=%d cache_read=%d cache_write=%d",
usage.InputTokens, usage.OutputTokens, usage.CacheReadTokens, usage.CacheWriteTokens)
written, writeErr := w.Write(bodyBytes)
bytesWritten += int64(written)
if writeErr != nil {
log.Printf("Error writing response: %v", writeErr)
upstreamErrors.WithLabelValues("write_error", h.deploymentVariant).Inc()
return
}
if flusher, canFlush := w.(http.Flusher); canFlush {
flusher.Flush()
}
} else {
// Tiktoken fallback: estimate and wrap.
countStart := time.Now()
outputTokens, err := bodyCapture.CountOutputTokens()
countDuration := time.Since(countStart)
tokenCountDuration.WithLabelValues(h.deploymentVariant).Observe(countDuration.Seconds())
if err != nil {
log.Printf("Warning: failed to count output tokens: %v", err)
}
RecordUsage(reqModel, h.deploymentVariant, UsageData{InputTokens: inputTokens, OutputTokens: outputTokens})
RecordOutputTokenRate(h.tokenizerModel, h.deploymentVariant, countDuration, outputTokens)
log.Printf("Token usage (estimated): input=%d output=%d", inputTokens, outputTokens)
wrappedResp, wrapErr := WrapResponseWithUsage(bodyBytes, inputTokens, outputTokens)
if wrapErr != nil {
log.Printf("Warning: failed to wrap response with usage, sending original: %v", wrapErr)
wrappedResp = bodyBytes
}
written, writeErr := w.Write(wrappedResp)
bytesWritten += int64(written)
if writeErr != nil {
log.Printf("Error writing response: %v", writeErr)
upstreamErrors.WithLabelValues("write_error", h.deploymentVariant).Inc()
return
}
if flusher, canFlush := w.(http.Flusher); canFlush {
flusher.Flush()
}
}
}
} else {
// Token counting disabled, direct streaming
defer resp.Body.Close()
buf := make([]byte, 1024)
flusher, canFlush := w.(http.Flusher)
for {
n, err := resp.Body.Read(buf)
if n > 0 {
written, writeErr := w.Write(buf[:n])
bytesWritten += int64(written)
if writeErr != nil {
log.Printf("Error writing response: %v", writeErr)
upstreamErrors.WithLabelValues("write_error", h.deploymentVariant).Inc()
return
}
if canFlush {
flusher.Flush()
}
}
if err == io.EOF {
break
}
if err != nil {
log.Printf("Error reading response: %v", err)
upstreamErrors.WithLabelValues("read_error", h.deploymentVariant).Inc()
return
}
}
}
// Record metrics
duration := time.Since(start).Seconds()
requestsTotal.WithLabelValues(r.Method, r.URL.Path, statusCode, h.deploymentVariant).Inc()
requestDuration.WithLabelValues(r.Method, r.URL.Path, statusCode, h.deploymentVariant).Observe(duration)
responseSize.WithLabelValues(r.Method, r.URL.Path, statusCode, h.deploymentVariant).Observe(float64(bytesWritten))
}
// GetCurrentRate returns the current rate limit for the handler.
func (h *ProxyHandler) GetCurrentRate() float64 {
return h.rateLimiter.GetCurrentRate()
}
// ResetRateLimit resets the rate limiter to the initial rate.
func (h *ProxyHandler) ResetRateLimit(initialRate float64) {
h.rateLimiter.Reset(initialRate)
}
// SetMaxWorkers sets the maximum number of concurrent workers.
func (h *ProxyHandler) SetMaxWorkers(max int64) {
atomic.StoreInt64(&h.maxWorkers, max)
maxWorkers.WithLabelValues(h.deploymentVariant).Set(float64(max))
}

View file

@ -50,6 +50,12 @@ type AdaptiveRateLimiter struct {
}
func NewAdaptiveRateLimiter(initialRate, minRate, maxRate float64) *AdaptiveRateLimiter {
return NewAdaptiveRateLimiterWithWindow(initialRate, minRate, maxRate, 30*time.Second)
}
// NewAdaptiveRateLimiterWithWindow creates an AdaptiveRateLimiter with a configurable adjustment window.
// Use this for tests to inject shorter durations (e.g., 1ms or 100ms) for fast execution without sleeping.
func NewAdaptiveRateLimiterWithWindow(initialRate, minRate, maxRate float64, windowDuration time.Duration) *AdaptiveRateLimiter {
return &AdaptiveRateLimiter{
limiter: rate.NewLimiter(rate.Limit(initialRate), int(initialRate*2)),
currentRate: initialRate,
@ -61,7 +67,7 @@ func NewAdaptiveRateLimiter(initialRate, minRate, maxRate float64) *AdaptiveRate
probeInterval: 10, // Probe every 10 clean windows (5 min at 30s windows)
cleanWindows: 0,
lastAdjustment: time.Now(),
adjustmentWindow: 30 * time.Second,
adjustmentWindow: windowDuration,
}
}

View file

@ -80,8 +80,8 @@ func init() {
}
}
// mockUpstream creates a mock upstream server for testing
func mockUpstream(responseDelay time.Duration, responseBody string) *httptest.Server {
// createMockUpstreamServer creates a mock upstream server for testing
func createMockUpstreamServer(responseDelay time.Duration, responseBody string) *httptest.Server {
return httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
time.Sleep(responseDelay)
w.Header().Set("Content-Type", "application/json")

1079
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1633
proxy/retry_test.go Normal file

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