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[management, proxy] Add prompt-cache token and cost accounting to agent network usage (#6900)
Co-authored-by: braginini <bangvalo@gmail.com>
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co-authored by
braginini
parent
1e5b0a5c89
commit
4f6247b5c3
@@ -56,10 +56,12 @@ type bedrockResponse struct {
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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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// Converse — camelCase.
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InputTokensCamel int64 `json:"inputTokens"`
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OutputTokensCamel int64 `json:"outputTokens"`
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TotalTokensCamel int64 `json:"totalTokens"`
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// Converse — camelCase; cache buckets are additive to inputTokens (AWS names the write bucket cacheWriteInputTokens).
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InputTokensCamel int64 `json:"inputTokens"`
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OutputTokensCamel int64 `json:"outputTokens"`
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TotalTokensCamel int64 `json:"totalTokens"`
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CacheReadTokensCamel int64 `json:"cacheReadInputTokens"`
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CacheWriteTokensCamel int64 `json:"cacheWriteInputTokens"`
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} `json:"usage"`
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}
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@@ -83,16 +85,18 @@ func (BedrockParser) ParseResponse(status int, contentType string, body []byte)
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}
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inTok := firstNonZero(resp.Usage.InputTokens, resp.Usage.InputTokensCamel)
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outTok := firstNonZero(resp.Usage.OutputTokens, resp.Usage.OutputTokensCamel)
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cacheRead := firstNonZero(resp.Usage.CacheReadInputTokens, resp.Usage.CacheReadTokensCamel)
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cacheWrite := firstNonZero(resp.Usage.CacheCreationInputTokens, resp.Usage.CacheWriteTokensCamel)
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total := resp.Usage.TotalTokensCamel
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if total == 0 {
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total = inTok + outTok + resp.Usage.CacheReadInputTokens + resp.Usage.CacheCreationInputTokens
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total = inTok + outTok + cacheRead + cacheWrite
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}
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return Usage{
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InputTokens: inTok,
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OutputTokens: outTok,
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TotalTokens: total,
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CachedInputTokens: resp.Usage.CacheReadInputTokens,
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CacheCreationTokens: resp.Usage.CacheCreationInputTokens,
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CachedInputTokens: cacheRead,
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CacheCreationTokens: cacheWrite,
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}, nil
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}
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@@ -26,6 +26,18 @@ func TestBedrockParser_ParseResponse_Converse(t *testing.T) {
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require.Equal(t, int64(14), u.TotalTokens, "converse uses provider total")
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}
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// Converse camelCase cache fields must land in the billed Usage buckets, same as the InvokeModel snake_case fields.
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func TestBedrockParser_ParseResponse_ConverseCacheBuckets(t *testing.T) {
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body := []byte(`{"usage":{"inputTokens":11,"outputTokens":3,"cacheReadInputTokens":7,"cacheWriteInputTokens":9}}`)
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u, err := BedrockParser{}.ParseResponse(200, "application/json", body)
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require.NoError(t, err)
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require.Equal(t, int64(11), u.InputTokens, "converse input tokens")
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require.Equal(t, int64(3), u.OutputTokens, "converse output tokens")
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require.Equal(t, int64(7), u.CachedInputTokens, "converse cache-read tokens")
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require.Equal(t, int64(9), u.CacheCreationTokens, "converse cache-write tokens")
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require.Equal(t, int64(11+3+7+9), u.TotalTokens, "total backfill is additive when the provider omits totalTokens")
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}
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func TestBedrockParser_ParseResponse_StreamingUnsupported(t *testing.T) {
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_, err := BedrockParser{}.ParseResponse(200, "application/vnd.amazon.eventstream", []byte("binary"))
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require.ErrorIs(t, err, ErrStreamingUnsupported, "event-stream must route to the streaming accumulator")
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@@ -128,6 +128,46 @@ type Table struct {
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// - Other providers: cached and cacheCreation are ignored; cost is
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// inTokens*InputPer1K + outTokens*OutputPer1K.
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func (t *Table) Cost(provider, model string, inTokens, outTokens, cachedInput, cacheCreation int64) (float64, bool) {
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c, ok := t.Costs(provider, model, inTokens, outTokens, cachedInput, cacheCreation)
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return c.TotalUSD, ok
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}
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// Costs is a per-request cost split. The four per-bucket fields are the base
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// of the breakdown — one per token bucket the provider bills separately — and
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// the two aggregates are derived from them:
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//
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// TotalUSD = InputUSD + CachedInputUSD + CacheCreationUSD + OutputUSD
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// CacheUSD = CachedInputUSD + CacheCreationUSD
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//
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// InputUSD is always the cost of the *non-cached* input bucket, for both
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// provider shapes: on OpenAI the cached subset is carved out of inTokens and
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// billed as CachedInputUSD, so the two never double-count. Buckets a provider
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// doesn't bill are zero, which keeps the identities above true everywhere.
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type Costs struct {
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InputUSD float64
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CachedInputUSD float64
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CacheCreationUSD float64
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OutputUSD float64
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TotalUSD float64
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CacheUSD float64
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}
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// newCosts assembles a split from its per-bucket parts, deriving the two
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// aggregates so TotalUSD and CacheUSD can never drift from the breakdown.
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func newCosts(input, cachedInput, cacheCreation, output float64) Costs {
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return Costs{
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InputUSD: input,
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CachedInputUSD: cachedInput,
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CacheCreationUSD: cacheCreation,
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OutputUSD: output,
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TotalUSD: input + cachedInput + cacheCreation + output,
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CacheUSD: cachedInput + cacheCreation,
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}
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}
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// Costs returns the estimated USD cost split for the given token counts, with
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// the same semantics as Cost.
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func (t *Table) Costs(provider, model string, inTokens, outTokens, cachedInput, cacheCreation int64) (Costs, bool) {
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// Clamp negatives to zero before any pricing math so a malformed
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// upstream count can never produce a negative cost.
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if inTokens < 0 {
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@@ -143,15 +183,15 @@ func (t *Table) Cost(provider, model string, inTokens, outTokens, cachedInput, c
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cacheCreation = 0
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}
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if t == nil {
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return 0, false
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return Costs{}, false
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}
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byModel, ok := t.entries[provider]
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if !ok {
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return 0, false
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return Costs{}, false
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}
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entry, ok := byModel[model]
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if !ok {
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return 0, false
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return Costs{}, false
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}
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output := (float64(outTokens) / 1000.0) * entry.OutputPer1K
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switch provider {
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@@ -168,7 +208,7 @@ func (t *Table) Cost(provider, model string, inTokens, outTokens, cachedInput, c
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}
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nonCached := float64(inTokens-clamped) / 1000.0 * entry.InputPer1K
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cached := float64(clamped) / 1000.0 * cachedRate
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return nonCached + cached + output, true
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return newCosts(nonCached, cached, 0, output), true
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case "anthropic", "bedrock":
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// Bedrock-Anthropic returns the same additive cache buckets as
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// first-party Anthropic; non-Anthropic Bedrock models simply report
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@@ -184,10 +224,10 @@ func (t *Table) Cost(provider, model string, inTokens, outTokens, cachedInput, c
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input := float64(inTokens) / 1000.0 * entry.InputPer1K
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read := float64(cachedInput) / 1000.0 * readRate
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create := float64(cacheCreation) / 1000.0 * createRate
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return input + read + create + output, true
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return newCosts(input, read, create, output), true
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default:
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input := float64(inTokens) / 1000.0 * entry.InputPer1K
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return input + output, true
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return newCosts(input, 0, 0, output), true
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}
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}
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