- Req: add FirstByteMs field (ms to first byte, tracked for streaming)
- Stat: add FirstByteSum for aggregation
- SourceAverages(): new method computing per-source avg TTFB and tokens/s
from the in-memory ring (300s window)
- SourceStatus: add AvgFirstByteMs and AvgTokPerS fields
- pumpStream: record FirstByteMs after first SSE chunk sent to client
- singleChat/singleChatAuto: set FirstByteMs = LatMs (non-streaming)
- handleStatusAPI: populate the new SourceStatus fields from SourceAverages()
- WebUI source table: two new columns showing TTFB (s) and Tokens/s
dsh displays cache-hit %, but llmsproxy dropped every upstream's cache
fields — deepseek prompt_cache_hit_tokens, OpenAI prompt_tokens_details.
cached_tokens, anthropic cache_read_input_tokens, gemini cachedContentTokenCount.
Changes:
- TokenUsage: add PromptTokensDetails (with CachedTokens) + PromptCacheHit/Miss
- MarshalJSON: emit prompt_tokens_details.cached_tokens (OpenAI v2 standard)
and prompt_cache_hit/miss_tokens (DeepSeek legacy) — dsh reads the former
first, falls back to the latter
- mergeUsage: preserve cache fields across stream chunks
- standardSSEChunk: parse the upstream raw prompt_tokens_details too
- deepseek.lua: forward prompt_cache_hit/miss_tokens + create
prompt_tokens_details from them
- openai.lua: forward prompt_tokens_details.cached_tokens and legacy
prompt_cache_hit/miss_tokens; normalize legacy hits into the standard
object so dsh sees them regardless of upstream format
- anthropic.lua: map cache_read_input_tokens → prompt_tokens_details
- gemini.lua: map cachedContentTokenCount → prompt_tokens_details
singleChat / singleChatAuto / streamChat / streamChatAuto shared ~260 near-
identical lines (diff after stripping comments was empty). Extract three
shared bodies and shrink all four entry points to thin dispatchers:
- failChat: error → record + writeError, shared ChainErr extraction
(errors.As returns false for direct-path errors, so the two paths stay
equivalent without a branch)
- recordChatUsage: exact upstream numbers win, byte estimates fill gaps
- writeChatCompletion: unified ChatCompletion rendering (model name is the
only direct/auto difference, passed in)
- pumpStream: the full SSE pump (preamble, delta loop, terminal finish +
usage chunk, [DONE]) — shared by both streaming entries
Behavior change (pinned by TestDirectStreamFailoverAuditSource): direct
streams now pin rec.Source to the source that actually served the stream
after a failover, instead of discarding it (_, usedModel). The audit row
previously recorded the first candidate, which was wrong on failover.
chat.go: 982 → 896 lines (−86).
provider.oneLineStr and gateway.oneLine had byte-identical bodies (flatten
whitespace + cap length). Move the single implementation into the types
package, which both layers already depend on, and delete both locals.
- provider.truncate: zero callers (oneLineStr is the used superset)
- gateway.normalizeModel: zero callers
- config.resolvedAPIKey: zero callers (core.resolveSourceKey is the live equivalent)
- Stats.Records: zero callers (CSV export uses AuditRecords)
- store.containsString: zero callers
- Config.MaxConcurrent: global inflight-cap field never read; per-source
MaxConcurrent is what actually drives semaphores. Legacy configs carrying a
top-level max_concurrent key still load (yaml.v3 ignores unknown fields —
verified by test).
- gui renderer esc(): zero callers; renderer uses textContent, and the embedded
WebUI has its own esc()
Clients saw the full per-tier chain error including upstream HTML WAF
pages and JSON quota payloads. The response now carries one capped
one-line reason per tier (quota/cooling skips preserved); full detail
remains in rec.Err / stats API and is logged server-side.
The gateway hardcoded "stop" on every terminating stream chunk, so
tool-call rounds reported finish_reason=stop and length caps were
invisible to clients. UnifiedChunk now carries finish_reason; adapters
emit it (with empty-string finish reasons like sensenova treated as
non-terminal), standardSSEChunk passes it through for un-adapted
upstreams, [DONE] no longer emits a duplicate reason-less done chunk,
and both streaming paths emit the real reason with "stop" as fallback.
Also vendor sensenova/agentrouter adapters into the repo: they were
WebUI-only uploads and a deploy sync silently removed them while live
AUTO-chain slots still referenced them.
The prior usage-passthrough fix only covered openai/opencode; the same
empty-choices+usage drop bug remained in the 5 sibling OpenAI-compatible
adapters, and non-OpenAI providers (anthropic/gemini/ollama) never surfaced
streaming usage at all.
- deepseek/github/groq/kimicode/mistral: preserve usage on empty-choices
chunks and attach it to normal chunks (same pattern as openai.lua)
- anthropic: emit usage from message_start (prompt) and message_delta
(completion); gateway merges split usage additively
- gemini: read usageMetadata in the stream path
- ollama: fix non-streaming key (usage -> token_usage, matches
UnifiedResponse json tag) and read prompt_eval_count/eval_count;
surface counts from the done stream chunk
- gateway: mergeUsage combines usage across chunks (non-zero fields win,
total recomputed from prompt+completion) so split usage doesn't lose
the prompt half; single-chunk case (OpenAI) preserved exactly
- usage-only chunks: done=false (no redundant terminal stop), matching
the Go fallback standardSSEChunk
Streaming responses now carry the upstream's real token usage instead of
gateway estimates:
- UnifiedChunk gains an optional Usage field; adapters (opencode, openai)
extract usage from upstream stream chunks (including the final chunk with
empty choices) and pass it through.
- standardSSEChunk preserves usage for passthrough adapters.
- Gateway emits the exact usage in the final stream chunk when available,
falling back to estimates only when the upstream provided none.
Non-streaming usage was already fixed to emit OpenAI-standard keys.
- TokenUsage.MarshalJSON now emits both standard (prompt_tokens,
completion_tokens, total_tokens) and legacy (prompt, completion, total)
keys, so OpenAI-compatible clients (DSH, DevEco Code, etc.) can read
token usage.
- ChatChunk gains an optional Usage field; stream responses now send a
final usage chunk (empty choices) before [DONE].
Refs: usage not visible in clients because the gateway serialized only the
internal short keys and never emitted a streaming usage chunk.
- adapters/opencode.lua: opencode.ai zen free pool adapter — sends the
opencode client User-Agent (zen fingerprints clients by UA; non-official
clients hit FreeUsageLimitError); pairs with api_key: public
- config: no config file ships in the repo; first run generates a default
config at the -config path with a random admin key, loopback listen and a
keyless zen source (config.EnsureDefault); remove config.example.yaml
- lua: seed bundled adapters from the embedded FS instead of a hardcoded
name list
- ui: widen model kind select (chat was clipped to 'cha')
- phase 5 bugfixes: stats ms/s bucket mixing, cleanScopes nil, ctx.Err
guards, direct-path ModelAvailable, empty stream body failure,
bestImageModel rewrite, transform failure recording, Core.mu, timer,
effective model for tool-calls
- api.go: handleSourcesAPI now requires admin role (GET leaks upstream api_keys, POST/DELETE mutate routing)
- chat.go: hasScopeModel made a Gateway method that strips source-model/:// prefix strictly via Registry.EffectiveModel (only when the prefix names a real source serving the bare model) so dash-bearing ids like deepseek-v4-flash-free are never corrupted; +TestHasScopeModelWithSourcePrefix
- config.go: DefaultSourceTimeout/QueueTimeout/Concurrency constants shared by YAML ApplyDefaults and runtime sources
- core.go: mergedSources applies the same defaults to runtime sources (JSON never persisted timeout fields); a dead upstream can no longer hold a concurrency slot forever
- provider.go: split non-streaming client{Timeout} vs stream client{} sharing a Transport with ResponseHeaderTimeout, so long SSE bodies are not cut by client.Timeout; ChatStream uses doRawStream
- plan.md: mark P4-4/5/6 done, record P4-7/8 (tier-order, audit export, UI key view, zen upstream diagnosis)
- online verified: user key -> /api/sources 403 (GET+POST), admin 200, AUTO stream/non-stream healthy
- scheduler: BuildChain sorts tiers ascending so tier 1 (highest priority) is tried first; previously descending inverted the chain (P10-1..P10-5)
- stats/api: handleStatsAPI limit→20000; CSV reads full audit via new Stats.AuditRecords (includes *.old rotation); key_names mapped by keyID() masked key; non-admin filter and keys-csv use masked keys
- server: ring buffer NewStats(10000)
- ui: dash-row card scroll area moved to table container (fix overflow below card); key view toggle (re-click same key returns to global) + kpi-exit affordance; rec-exit span
- chat: chain-failure record now surfaces first failed tier; AUTO comment sync
