fix(agent): recover front-loaded answer past a citations-only terminal turn (#11)
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finalOutput now recovers the front-loaded answer when the terminal turn is a
sources/citations-only addendum ("Sources: [x](url), ..."), not just when it is
empty or a back-reference. It recovers the prior substantive answer and appends
the (real) citations below it. Guards: citation-DOMINANCE (a prose answer that
merely opens with "Source: ... http://..." is left as the answer), ^-anchored
heading, citations recovery decoupled from the terminal-length ratio (concise
answers recover too), preamble filter applied only in the borderline band
(long answers opening with "Sure,"/"Let me" are not vetoed), and a dedup that
ignores <url> angle-bracket wrappers. Healthy terminal answers unchanged; zero
extra model calls.

Fixes mort #1418. Gadfly-reviewed (6 reviewers) + adversarially pre-verified;
all findings graded, real ones addressed.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit was merged in pull request #11.
This commit is contained in:
2026-07-10 16:47:32 +00:00
parent fe44a6da26
commit 6abb399f5b
2 changed files with 295 additions and 18 deletions
+179
View File
@@ -36,6 +36,42 @@ func TestIsWeakFinal(t *testing.T) {
}
}
func TestIsCitationsOnly(t *testing.T) {
cases := []struct {
name string
in string
want bool
}{
{"sources-md-links", "Sources: [pcprice.watch](https://pcprice.watch/x), [ebay](https://ebay.com/1).", true},
{"lowercase-bare-url", "sources: see https://example.com/a", true},
{"bold-label-colon-inside", "**Sources:** [a](https://a), [b](https://b)", true},
{"bold-label-colon-outside", "**Sources**: [a](https://a), [b](https://b)", true}, // colon after the closing **
{"references-dash", "References — [a](https://a)", true},
{"citations-label", "Citations: https://x/y", true},
{"leading-list-marker", "- Sources: [a](https://a)", true},
{"atx-heading", "## Sources: [a](https://a), [b](https://b)", true}, // ATX heading marker + its trailing space
{"further-reading", "Further reading: https://example.com/deep-dive", true},
{"annotated-multi-source", "Sources: [pcprice.watch](https://a) (tracker), [eBay](https://b) (sold), [bestvaluegpu](https://c) (retail), [resaleprices](https://d) (asking).", true}, // the reported issue-1418 shape
{"backref-plus-links-is-citations", "References: as noted above, [pcprice.watch](https://pcprice.watch/x).", true}, // a back-ref phrase inside a real sources list is still citations
{"empty", "", false},
{"label-but-no-link", "Source: internal analysis, no URL here", false},
{"prose-then-sources", "It sells for ~$2,700. Sources: [a](https://a)", false}, // answer first → not a pure addendum
{"source-led-prose-answer", "Source: According to https://cdc.gov the flu vaccine is 40-60% effective, and the CDC recommends annual vaccination for everyone over six months old.", false}, // a prose answer that merely opens with a "Source:" label
{"mentions-sources-midsentence", "The sources of the leak were never confirmed.", false},
{"link-without-label", "Here is the link you asked for: [a](https://a)", false},
{"bare-domains-out-of-scope", "Sources: pcprice.watch (used ~$200), ebay.com (sold listings)", false}, // bare domains: no scheme or markdown link to key on
{"crisp-number", "42", false},
}
for _, c := range cases {
t.Run(c.name, func(t *testing.T) {
if got := isCitationsOnly(c.in); got != c.want {
t.Errorf("isCitationsOnly(%q) = %v, want %v", c.in, got, c.want)
}
})
}
}
func asst(text string, tools ...llm.ToolCall) llm.Message {
m := llm.Message{Role: llm.RoleAssistant}
if text != "" {
@@ -48,6 +84,25 @@ func asst(text string, tools ...llm.ToolCall) llm.Message {
func TestFinalOutput(t *testing.T) {
cite := []llm.ToolCall{{ID: "c1", Name: "cite", Arguments: json.RawMessage(`{}`)}}
longAnswer := strings.TrimSpace(strings.Repeat("Free group calls are capped at sixty minutes. ", 6)) // >200
// A sources/citations-only terminal — the glm-5.2 "cite" shape behind mort
// issue #1418: the prose answer was front-loaded into the tool-call turn and
// the terminal turn carried only the citations.
sources := "Sources: [pcprice.watch](https://pcprice.watch/x), [ebay](https://www.ebay.com/itm/1)."
answerWithSources := longAnswer + "\n\n" + sources
// A concise (>80, <200 byte) front-loaded answer + a long citations terminal:
// the ratio arm can't be met against the long terminal, so citations mode
// must fall back to the floor.
conciseAnswer := "It sells for about $2,700 used on eBay, typically $2,400 to $2,900 depending on condition and bundle."
longSources := "Sources: [pcprice.watch](https://pcprice.watch/gpu/rtx5090) (tracker), [ebay](https://www.ebay.com/sch/rtx5090) (sold), [newegg](https://newegg.com/rtx5090) (retail), [pcpartpicker](https://pcpartpicker.com/rtx5090) (history)."
// A substantive answer that merely OPENS with "Source:" (not a bare list).
sourceLedAnswer := "Source: https://nvd.nist.gov/vuln/detail/CVE-2024-1234 — this is the authoritative NVD entry for the vulnerability, rated CVSS 9.8 critical."
// A borderline-band (80200 byte) turn that opens like a planning preamble:
// it clears the floor, but the preamble filter still vetoes it (the filter
// applies only in the borderline band; a >=200-byte turn is accepted as-is).
preambleTurn := "Let me look that up across a few different sites and then compile the full comparison for you here."
// A >=200-byte real answer that merely OPENS with a conversational word
// ("Sure,"). The preamble filter must NOT veto it (gadfly regression guard).
longConversationalAnswer := "Sure, here's the rundown: it currently sells for about $2,700 used on eBay, typically $2,400 to $2,900 depending on condition and bundle, with the sealed Founders Edition commanding the top of that range while used AIB cards go a bit lower."
tests := []struct {
name string
@@ -110,6 +165,97 @@ func TestFinalOutput(t *testing.T) {
terminal: "(see above)",
want: "(see above)", // preamble excluded; falls back to terminal
},
{
name: "citations-only terminal recovers front-loaded answer and keeps sources",
msgs: []llm.Message{
llm.UserText("q?"),
asst(longAnswer, cite...),
llm.ToolResultsMessage(llm.ToolResult{ID: "c1", Name: "cite", Content: "ok"}),
asst(sources),
},
terminal: sources,
want: answerWithSources, // answer recovered, citations appended
},
{
name: "citations-only terminal but only a preamble prior: keeps the sources",
msgs: []llm.Message{
llm.UserText("q?"),
asst("Let me gather the sources.", cite...),
llm.ToolResultsMessage(llm.ToolResult{ID: "c1", Name: "cite", Content: "ok"}),
asst(sources),
},
terminal: sources,
want: sources, // nothing substantive to recover → keep the addendum
},
{
name: "citations already in the recovered answer are not duplicated",
msgs: []llm.Message{
llm.UserText("q?"),
asst(answerWithSources, cite...),
llm.ToolResultsMessage(llm.ToolResult{ID: "c1", Name: "cite", Content: "ok"}),
asst(sources),
},
terminal: sources,
want: answerWithSources, // recovered turn already carries the sources
},
{
// #1418 persisted for CONCISE answers: a <200-char front-loaded
// answer must still be recovered against a long citations terminal
// (the ratio arm is skipped in citations mode).
name: "concise front-loaded answer recovered against a long citations terminal",
msgs: []llm.Message{
llm.UserText("q?"),
asst(conciseAnswer, cite...),
llm.ToolResultsMessage(llm.ToolResult{ID: "c1", Name: "cite", Content: "ok"}),
asst(longSources),
},
terminal: longSources,
want: conciseAnswer + "\n\n" + longSources,
},
{
// A substantive answer that merely OPENS with "Source:" and cites a
// URL mid-sentence is NOT a citations addendum — return it verbatim,
// never prepend the prior planning turn.
name: "source-led substantive answer is not hijacked by a prior turn",
msgs: []llm.Message{
llm.UserText("what's the authoritative URL?"),
asst("I'll look up the CVE in the NVD database, cross-reference the vendor advisory, and confirm the canonical URL before I answer.", cite...),
llm.ToolResultsMessage(llm.ToolResult{ID: "c1", Name: "cite", Content: "ok"}),
asst(sourceLedAnswer),
},
terminal: sourceLedAnswer,
want: sourceLedAnswer,
},
{
// A borderline-length turn that opens like a preamble is vetoed
// during recovery; the older real answer is recovered instead. (A
// >=200-byte turn would be accepted verbatim — see the next case.)
name: "borderline preamble is skipped; older real answer recovered",
msgs: []llm.Message{
llm.UserText("q?"),
asst(conciseAnswer, cite...),
llm.ToolResultsMessage(llm.ToolResult{ID: "c1", Name: "cite", Content: "ok"}),
asst(preambleTurn, cite...),
llm.ToolResultsMessage(llm.ToolResult{ID: "c2", Name: "cite", Content: "ok"}),
asst(sources),
},
terminal: sources,
want: conciseAnswer + "\n\n" + sources,
},
{
// Guards the gadfly regression: a LONG (>=200-byte) front-loaded
// answer that merely opens with a conversational word ("Sure, …")
// must still be recovered — the preamble filter must not veto it.
name: "long answer opening with a conversational word is still recovered",
msgs: []llm.Message{
llm.UserText("q?"),
asst(longConversationalAnswer, cite...),
llm.ToolResultsMessage(llm.ToolResult{ID: "c1", Name: "cite", Content: "ok"}),
asst(sources),
},
terminal: sources,
want: longConversationalAnswer + "\n\n" + sources,
},
}
for _, tc := range tests {
t.Run(tc.name, func(t *testing.T) {
@@ -179,3 +325,36 @@ func TestRun_HealthyTerminalUnchanged(t *testing.T) {
t.Errorf("Output = %q, want terminal answer unchanged", res.Output)
}
}
// TestRun_RecoversFrontLoadedAnswerWithCitations reproduces mort issue #1418
// end-to-end: the model front-loads the prose answer into the tool-call turn
// and closes with a sources-only terminal turn. The delivered output must be
// the recovered answer with the citations appended (not the bare sources list),
// with no extra model call.
func TestRun_RecoversFrontLoadedAnswerWithCitations(t *testing.T) {
longAnswer := strings.TrimSpace(strings.Repeat("Free group calls are capped at sixty minutes. ", 6))
sources := "Sources: [docs](https://example.com/docs), [pricing](https://example.com/pricing)."
fp := fake.New("fp")
fp.Enqueue("test-model",
fake.ReplyWith(llm.Response{
Parts: []llm.Part{llm.Text(longAnswer)},
ToolCalls: []llm.ToolCall{{ID: "c1", Name: "cite", Arguments: json.RawMessage(`{}`)}},
FinishReason: llm.FinishToolCalls,
Usage: llm.Usage{InputTokens: 10, OutputTokens: 5},
}),
fake.Reply(sources),
)
a := New(newModel(t, fp), "sys", WithToolbox(citeToolbox(t)))
res, err := a.Run(context.Background(), "is there a meet time limit?")
if err != nil {
t.Fatalf("Run: %v", err)
}
want := longAnswer + "\n\n" + sources
if res.Output != want {
t.Errorf("Output = %q, want recovered answer + citations %q", res.Output, want)
}
if n := len(fp.Calls()); n != 2 {
t.Errorf("model calls = %d, want 2 (no extra nudge turn)", n)
}
}