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[proxy] LLM parsers, pricing, and builtin middlewares (OpenAI, Anthropic, Vertex AI, AWS Bedrock)
Request/response parsers and SSE/event-stream metering, the embedded pricing table, and the builtin middleware set: request parser, router, policy limit-check/record, cost meter, guardrail, identity inject, response parser. Includes the path-routed providers — Google Vertex AI (keyfile:: service-account OAuth minting) and AWS Bedrock (bearer auth, invoke/converse/streaming, optional /bedrock prefix) — plus the Models allowlist and unmeterable-publisher deny.
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mlsmaycon
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package llm_response_parser
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import (
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"bytes"
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"encoding/json"
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"errors"
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"io"
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"strings"
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"github.com/netbirdio/netbird/proxy/internal/llm"
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)
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// openAIDoneSentinel is the OpenAI end-of-stream marker. The scanner
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// stops once this data frame is observed.
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const openAIDoneSentinel = "[DONE]"
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// accumulateStream walks the SSE byte slice, dispatches per provider,
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// and returns the running token-usage and concatenated completion text.
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// Errors from the scanner short-circuit accumulation but never panic
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// — partial results are returned for truncated bodies.
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func accumulateStream(provider string, body []byte) (llm.Usage, string) {
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switch provider {
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case "openai":
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return accumulateOpenAIStream(body)
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case "anthropic":
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return accumulateAnthropicStream(body)
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case llm.ProviderNameBedrock:
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return accumulateBedrockStream(body)
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default:
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return llm.Usage{}, ""
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}
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}
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// openAIStreamUsage is the usage block shared by both OpenAI streaming
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// envelopes. Pointer fields tell "absent" from zero; the chat.completions
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// (prompt_/completion_) and Responses-API (input_/output_) names are both
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// accepted so a single decode covers either endpoint.
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type openAIStreamUsage struct {
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PromptTokens *int64 `json:"prompt_tokens"`
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CompletionTokens *int64 `json:"completion_tokens"`
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InputTokens *int64 `json:"input_tokens"`
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OutputTokens *int64 `json:"output_tokens"`
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TotalTokens *int64 `json:"total_tokens"`
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PromptTokensDetails *struct {
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CachedTokens *int64 `json:"cached_tokens"`
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} `json:"prompt_tokens_details"`
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InputTokensDetails *struct {
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CachedTokens *int64 `json:"cached_tokens"`
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} `json:"input_tokens_details"`
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}
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// openAIStreamChunk matches both OpenAI streaming envelopes. The
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// chat.completions chunk carries text in choices[].delta.content and a
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// trailing top-level usage block. The Responses API (/v1/responses) emits
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// typed events instead: completion text rides response.output_text.delta
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// (top-level "delta" string) and the final usage rides response.completed
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// under response.usage. Only fields used for accumulation are declared.
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type openAIStreamChunk struct {
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Choices []struct {
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Delta struct {
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Content string `json:"content"`
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} `json:"delta"`
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} `json:"choices"`
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Usage *openAIStreamUsage `json:"usage"`
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Type string `json:"type"`
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Delta json.RawMessage `json:"delta"`
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Response *struct {
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Usage *openAIStreamUsage `json:"usage"`
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} `json:"response"`
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}
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// accumulateOpenAIStream sums per-chunk content deltas and lifts the usage
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// block off the final frame, handling both the chat.completions and the
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// Responses-API event shapes. Clients without stream_options.include_usage
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// (chat.completions) and any provider that omits the final usage simply
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// leave tokens at zero; the caller chooses what to emit.
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func accumulateOpenAIStream(body []byte) (llm.Usage, string) {
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var (
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usage llm.Usage
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completion strings.Builder
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)
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scanner := llm.NewScanner(bytes.NewReader(body))
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for {
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ev, err := scanner.Next()
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if err != nil {
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if errors.Is(err, io.EOF) {
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break
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}
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break
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}
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if ev.Data == "" || ev.Data == openAIDoneSentinel {
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if ev.Data == openAIDoneSentinel {
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break
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}
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continue
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}
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var chunk openAIStreamChunk
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if err := json.Unmarshal([]byte(ev.Data), &chunk); err != nil {
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continue
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}
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for _, c := range chunk.Choices {
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completion.WriteString(c.Delta.Content)
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}
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if chunk.Type == "response.output_text.delta" {
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if s, ok := decodeJSONString(chunk.Delta); ok {
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completion.WriteString(s)
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}
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}
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u := chunk.Usage
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if u == nil && chunk.Response != nil {
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u = chunk.Response.Usage
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}
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if u != nil {
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usage.InputTokens = pickInt64(u.InputTokens, u.PromptTokens)
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usage.OutputTokens = pickInt64(u.OutputTokens, u.CompletionTokens)
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usage.TotalTokens = derefInt64(u.TotalTokens)
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if u.InputTokensDetails != nil {
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if v := derefInt64(u.InputTokensDetails.CachedTokens); v > 0 {
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usage.CachedInputTokens = v
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}
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}
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if usage.CachedInputTokens == 0 && u.PromptTokensDetails != nil {
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usage.CachedInputTokens = derefInt64(u.PromptTokensDetails.CachedTokens)
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}
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if usage.TotalTokens == 0 && (usage.InputTokens > 0 || usage.OutputTokens > 0) {
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usage.TotalTokens = usage.InputTokens + usage.OutputTokens
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}
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}
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}
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return usage, completion.String()
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}
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// decodeJSONString unmarshals a JSON-encoded string value, returning
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// ok=false when the raw message is empty or not a string.
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func decodeJSONString(raw json.RawMessage) (string, bool) {
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if len(raw) == 0 {
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return "", false
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}
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var s string
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if err := json.Unmarshal(raw, &s); err != nil {
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return "", false
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}
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return s, true
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}
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// anthropicStreamEvent captures the union of Messages-API stream event
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// payloads we care about. Each named event on the wire fills only its
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// shape's fields; unknown keys are ignored.
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type anthropicStreamEvent struct {
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Type string `json:"type"`
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Message *struct {
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Usage *struct {
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InputTokens *int64 `json:"input_tokens"`
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OutputTokens *int64 `json:"output_tokens"`
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CacheReadInputTokens *int64 `json:"cache_read_input_tokens"`
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CacheCreationInputTokens *int64 `json:"cache_creation_input_tokens"`
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} `json:"usage"`
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} `json:"message"`
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Delta *struct {
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Type string `json:"type"`
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Text string `json:"text"`
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} `json:"delta"`
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Usage *struct {
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InputTokens *int64 `json:"input_tokens"`
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OutputTokens *int64 `json:"output_tokens"`
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CacheReadInputTokens *int64 `json:"cache_read_input_tokens"`
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CacheCreationInputTokens *int64 `json:"cache_creation_input_tokens"`
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} `json:"usage"`
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}
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// accumulateAnthropicStream tracks input_tokens from message_start,
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// output_tokens from message_delta, and concatenates text_delta payloads
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// from content_block_delta events. Final usage prefers message_delta
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// values which carry the post-completion totals.
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func accumulateAnthropicStream(body []byte) (llm.Usage, string) {
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var (
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usage llm.Usage
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completion strings.Builder
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)
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scanner := llm.NewScanner(bytes.NewReader(body))
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for {
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ev, err := scanner.Next()
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if err != nil {
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if errors.Is(err, io.EOF) {
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break
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}
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break
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}
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if ev.Data == "" {
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continue
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}
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var payload anthropicStreamEvent
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if err := json.Unmarshal([]byte(ev.Data), &payload); err != nil {
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continue
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}
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eventType := ev.Type
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if eventType == "" {
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eventType = payload.Type
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}
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applyAnthropicStreamEvent(eventType, payload, &usage, &completion)
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}
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if usage.InputTokens > 0 || usage.OutputTokens > 0 {
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usage.TotalTokens = usage.InputTokens + usage.OutputTokens + usage.CachedInputTokens + usage.CacheCreationTokens
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}
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return usage, completion.String()
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}
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// applyAnthropicStreamEvent folds one parsed Anthropic Messages stream event
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// into the running usage/completion. Shared by the SSE accumulator and the
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// Bedrock InvokeModel event-stream, whose chunks wrap the same event JSON.
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func applyAnthropicStreamEvent(eventType string, payload anthropicStreamEvent, usage *llm.Usage, completion *strings.Builder) {
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switch eventType {
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case "message_start":
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if payload.Message != nil && payload.Message.Usage != nil {
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if v := derefInt64(payload.Message.Usage.InputTokens); v > 0 {
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usage.InputTokens = v
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}
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if v := derefInt64(payload.Message.Usage.OutputTokens); v > 0 {
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usage.OutputTokens = v
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}
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if v := derefInt64(payload.Message.Usage.CacheReadInputTokens); v > 0 {
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usage.CachedInputTokens = v
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}
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if v := derefInt64(payload.Message.Usage.CacheCreationInputTokens); v > 0 {
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usage.CacheCreationTokens = v
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}
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}
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case "content_block_delta":
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if payload.Delta != nil && payload.Delta.Type == "text_delta" {
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completion.WriteString(payload.Delta.Text)
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}
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case "message_delta":
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if payload.Usage != nil {
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if v := derefInt64(payload.Usage.InputTokens); v > 0 {
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usage.InputTokens = v
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}
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if v := derefInt64(payload.Usage.OutputTokens); v > 0 {
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usage.OutputTokens = v
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}
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if v := derefInt64(payload.Usage.CacheReadInputTokens); v > 0 {
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usage.CachedInputTokens = v
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}
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if v := derefInt64(payload.Usage.CacheCreationInputTokens); v > 0 {
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usage.CacheCreationTokens = v
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}
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}
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case "message_stop":
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// No-op; Anthropic does not emit usage here.
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}
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}
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func pickInt64(preferred, fallback *int64) int64 {
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if preferred != nil {
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return *preferred
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}
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return derefInt64(fallback)
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}
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func derefInt64(v *int64) int64 {
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if v == nil {
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return 0
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}
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return *v
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}
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