From 6ae874d9ca12352f51918a0d206b68a1964feec9 Mon Sep 17 00:00:00 2001 From: Brian Love Date: Fri, 8 May 2026 17:02:47 -0700 Subject: [PATCH 1/8] chore(langgraph): script to capture streaming reasoning fixture --- .../capture-streaming-reasoning-puzzle.mjs | 98 +++++++++++++++++++ 1 file changed, 98 insertions(+) create mode 100755 libs/langgraph/test/fixtures/capture-streaming-reasoning-puzzle.mjs diff --git a/libs/langgraph/test/fixtures/capture-streaming-reasoning-puzzle.mjs b/libs/langgraph/test/fixtures/capture-streaming-reasoning-puzzle.mjs new file mode 100755 index 000000000..a4c1cf662 --- /dev/null +++ b/libs/langgraph/test/fixtures/capture-streaming-reasoning-puzzle.mjs @@ -0,0 +1,98 @@ +#!/usr/bin/env node +// SPDX-License-Identifier: MIT +/** + * Captures the streaming chunk sequence produced by the LangGraph + * SDK for a real `gpt-5 + reasoning.effort=high` run against the + * canonical examples/chat backend. The output JSON is the ground- + * truth fixture for stream-manager.bridge.spec.ts: + * - Each entry is a `messages` event payload (an array of message + * tuples) — exactly what the bridge sees per chunk. + * + * Run instructions (from repo root): + * 1. Ensure OPENAI_API_KEY is in examples/chat/python/.env + * 2. Start backend: + * cd examples/chat/python && uv run langgraph dev --port 2024 --no-browser + * 3. In another terminal, run: + * node libs/langgraph/test/fixtures/capture-streaming-reasoning-puzzle.mjs + * 4. Output is written to libs/langgraph/test/fixtures/streaming-reasoning-puzzle.json + */ + +import { writeFileSync } from 'node:fs'; +import { fileURLToPath } from 'node:url'; +import { dirname, join } from 'node:path'; +import { Client } from '@langchain/langgraph-sdk'; + +const SCRIPT_DIR = dirname(fileURLToPath(import.meta.url)); +const OUT = join(SCRIPT_DIR, 'streaming-reasoning-puzzle.json'); +const API_URL = process.env.LANGGRAPH_URL || 'http://localhost:2024'; +const ASSISTANT_ID = process.env.LANGGRAPH_ASSISTANT_ID || 'chat'; + +const PROMPT = + 'Three friends start with 14 apples. They share them so each gets ' + + 'a different prime number of apples and one gets exactly twice as ' + + 'many as another. How many does each get? Walk through your ' + + 'reasoning step by step.'; + +async function main() { + const client = new Client({ apiUrl: API_URL }); + + const ok = await fetch(`${API_URL}/ok`).then(r => r.ok).catch(() => false); + if (!ok) { + console.error(`Backend not reachable at ${API_URL}/ok — is langgraph dev running?`); + process.exit(1); + } + + const thread = await client.threads.create(); + console.error(`thread=${thread.thread_id}`); + + const events = []; + let chunkCount = 0; + for await (const event of client.runs.stream(thread.thread_id, ASSISTANT_ID, { + input: { + messages: [{ role: 'user', content: PROMPT }], + model: 'gpt-5', + reasoning_effort: 'high', + }, + streamMode: ['messages-tuple', 'values'], + })) { + chunkCount += 1; + events.push({ event: event.event, data: event.data }); + if (event.event === 'messages') { + const tuples = Array.isArray(event.data) ? event.data : []; + const lastMsg = tuples.length ? tuples[tuples.length - 1] : null; + const len = + lastMsg && Array.isArray(lastMsg) && lastMsg[0] && typeof lastMsg[0].content === 'string' + ? lastMsg[0].content.length + : '?'; + process.stderr.write(` chunk #${chunkCount} (messages, len=${len})\n`); + } + } + + const state = await client.threads.getState(thread.thread_id); + const finalAi = (state.values?.messages || []).filter(m => m.type === 'ai').pop(); + const finalContent = finalAi?.content; + const canonicalText = Array.isArray(finalContent) + ? finalContent + .filter(b => b && (b.type === 'text' || b.type === 'output_text')) + .map(b => b.text) + .filter(t => typeof t === 'string') + .join('') + : typeof finalContent === 'string' + ? finalContent + : ''; + + const out = { + thread_id: thread.thread_id, + canonical_text_length: canonicalText.length, + canonical_text: canonicalText, + events, + }; + writeFileSync(OUT, JSON.stringify(out, null, 2)); + console.error(`\n✓ wrote ${OUT}`); + console.error(` events: ${events.length}, canonical_text_length: ${canonicalText.length}`); +} + +main().catch(err => { + console.error('capture failed:', err); + process.exit(1); +}); From ca34c216fe3187795b3fcee326e6ce1f7541b28d Mon Sep 17 00:00:00 2001 From: Brian Love Date: Fri, 8 May 2026 17:04:07 -0700 Subject: [PATCH 2/8] test(langgraph): capture gpt-5 reasoning streaming chunks fixture --- .../fixtures/streaming-reasoning-puzzle.json | 72351 ++++++++++++++++ 1 file changed, 72351 insertions(+) create mode 100644 libs/langgraph/test/fixtures/streaming-reasoning-puzzle.json diff --git a/libs/langgraph/test/fixtures/streaming-reasoning-puzzle.json b/libs/langgraph/test/fixtures/streaming-reasoning-puzzle.json new file mode 100644 index 000000000..0664aee1e --- /dev/null +++ b/libs/langgraph/test/fixtures/streaming-reasoning-puzzle.json @@ -0,0 +1,72351 @@ +{ + "thread_id": "019e0a0b-6972-7563-ace9-3f74a9be3752", + "canonical_text_length": 841, + "canonical_text": "Step-by-step reasoning\n\n1) Let the three shares be distinct primes that sum to 14.\n\n2) Since 14 is even and every prime except 2 is odd, exactly one of the three must be 2. So write 2 + p + q = 14, which gives p + q = 12 with p and q odd primes.\n\n3) The only pair of distinct odd primes summing to 12 is 5 and 7. So the only triple of distinct primes summing to 14 is {2, 5, 7}.\n\n4) Check the “twice” condition: in {2, 5, 7} no number is twice another.\n\n5) More generally, if one prime is exactly twice another prime, say x = 2y, then x is even, so x must be 2. That forces y = 1, but 1 is not prime under the standard definition.\n\nConclusion\n- Under the usual (modern) definition of prime numbers, there is no solution.\n- If you (nonstandardly) allow 1 to be prime, then the shares are 1, 2, and 11 (since 1 + 2 + 11 = 14 and 2 is twice 1).", + "events": [ + { + "event": "metadata", + "data": { + "run_id": "019e0a0b-6976-7c72-8d57-479ba0c859f6", + "attempt": 1 + } + }, + { + "event": "values", + "data": { + "messages": [ + { + "content": "Three friends start with 14 apples. 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"branch:to:generate" + ], + "langgraph_path": [ + "__pregel_pull", + "generate" + ], + "langgraph_checkpoint_ns": "generate:b0fa7428-1785-3ae9-0676-b679edfe4b91", + "checkpoint_ns": "generate:b0fa7428-1785-3ae9-0676-b679edfe4b91", + "ls_provider": "openai", + "ls_model_name": "gpt-5", + "ls_model_type": "chat", + "ls_temperature": null + } + ] + }, + { + "event": "messages", + "data": [ + { + "content": [ + { + "type": "text", + "text": "", + "id": "msg_0b7db12571bbed190069fe79ed80fc8197af553cc3db91b9c2", + "index": 1 + } + ], + "additional_kwargs": {}, + "response_metadata": { + "model_provider": "openai" + }, + "type": "AIMessageChunk", + "name": null, + "id": "lc_run--019e0a0b-6c9b-76e3-b7b9-de6161956efa", + "tool_calls": [], + "invalid_tool_calls": [], + "usage_metadata": null, + "tool_call_chunks": [], + "chunk_position": null + }, + { + "created_by": "system", + "graph_id": "chat", + "assistant_id": "eb6db400-e3c8-5d06-a834-015cb89efe69", + "run_attempt": 1, + "langgraph_version": "1.1.10", + "langgraph_api_version": "0.8.7", + "langgraph_plan": "enterprise", + "langgraph_host": "self-hosted", + "langgraph_api_url": "http://127.0.0.1:2024", + "thread_id": "019e0a0b-6972-7563-ace9-3f74a9be3752", + "run_id": "019e0a0b-6976-7c72-8d57-479ba0c859f6", + "ls_integration": "langchain_chat_model", + "langgraph_step": 1, + "langgraph_node": "generate", + "langgraph_triggers": [ + "branch:to:generate" + ], + "langgraph_path": [ + "__pregel_pull", + "generate" + ], + "langgraph_checkpoint_ns": "generate:b0fa7428-1785-3ae9-0676-b679edfe4b91", + "checkpoint_ns": "generate:b0fa7428-1785-3ae9-0676-b679edfe4b91", + "ls_provider": "openai", + "ls_model_name": "gpt-5", + "ls_model_type": "chat", + "ls_temperature": null + } + ] + }, + { + "event": "messages", + "data": [ + { + "content": [], + "additional_kwargs": {}, + "response_metadata": { + "created_at": 1778284983, + "metadata": {}, + "model": "gpt-5-2025-08-07", + "object": "response", + "service_tier": "default", + "status": "completed", + "model_provider": "openai", + "model_name": "gpt-5-2025-08-07" + }, + "type": "AIMessageChunk", + "name": null, + "id": "lc_run--019e0a0b-6c9b-76e3-b7b9-de6161956efa", + "tool_calls": [], + "invalid_tool_calls": [], + "usage_metadata": { + "input_tokens": 79, + "output_tokens": 4385, + "total_tokens": 4464, + "input_token_details": { + "cache_read": 0 + }, + "output_token_details": { + "reasoning": 4096 + } + }, + "tool_call_chunks": [], + "chunk_position": "last" + }, + { + "created_by": "system", + "graph_id": "chat", + "assistant_id": "eb6db400-e3c8-5d06-a834-015cb89efe69", + "run_attempt": 1, + "langgraph_version": "1.1.10", + "langgraph_api_version": "0.8.7", + "langgraph_plan": "enterprise", + "langgraph_host": "self-hosted", + "langgraph_api_url": "http://127.0.0.1:2024", + "thread_id": "019e0a0b-6972-7563-ace9-3f74a9be3752", + "run_id": "019e0a0b-6976-7c72-8d57-479ba0c859f6", + "ls_integration": "langchain_chat_model", + "langgraph_step": 1, + "langgraph_node": "generate", + "langgraph_triggers": [ + "branch:to:generate" + ], + "langgraph_path": [ + "__pregel_pull", + "generate" + ], + "langgraph_checkpoint_ns": "generate:b0fa7428-1785-3ae9-0676-b679edfe4b91", + "checkpoint_ns": "generate:b0fa7428-1785-3ae9-0676-b679edfe4b91", + "ls_provider": "openai", + "ls_model_name": "gpt-5", + "ls_model_type": "chat", + "ls_temperature": null + } + ] + }, + { + "event": "values", + "data": { + "messages": [ + { + "content": "Three friends start with 14 apples. They share them so each gets a different prime number of apples and one gets exactly twice as many as another. How many does each get? Walk through your reasoning step by step.", + "additional_kwargs": {}, + "response_metadata": {}, + "type": "human", + "name": null, + "id": "5078f04d-ed15-4ae6-8fe9-4f7e0b906ca5" + }, + { + "content": [ + { + "id": "rs_0b7db12571bbed190069fe79b86acc8197a5fd2cb5d4a672a4", + "summary": [ + { + "index": 0, + "type": "summary_text", + "text": "**Solving apple distribution**\n\nI need to figure out how three friends can share 14 apples, each getting a different prime number, with one friend getting exactly twice as many as another. I think about the conditions: they must be distinct primes that sum to 14, and one must be double another. The only even prime is 2, which gets tricky since doubling a prime might not yield another prime. So, I need to explore different combinations while keeping everything prime!" + }, + { + "index": 1, + "type": "summary_text", + "text": "**Checking possible primes**\n\nI'm trying to find three distinct prime numbers that sum to 14, ensuring one is twice another. So far, with primes like 2, 3, and 5, I've discovered 2, 5, and 7 are valid since they sum to 14. However, none of these pairs match the condition of one being double another. \n\nI also explore combinations like 3 and 11, but I face the issue of non-prime numbers like 0 and 1. So I need to keep digging for valid combinations!" + }, + { + "index": 2, + "type": "summary_text", + "text": "**Revisiting apple distribution constraints**\n\nI found that the only prime combination that sums to 14 is 2, 5, and 7. However, the requirement that “one gets exactly twice as many as another” means I need a pair where \\( a = 2b \\), and I can’t find that pair here. \n\nIt looks like they have to stick to whole apples, so I realize cutting them isn't possible. Also, 1 isn't a prime, so I'm limited to those distinct primes without any flexibility. Given the constraints, it seems like there might not be a solution after all!" + }, + { + "index": 3, + "type": "summary_text", + "text": "**Analyzing prime conditions**\n\nI noticed that the combination of 1, 2, and 11 sums to 14, with 2 being twice 1. However, 1 isn't considered a prime in modern math, which complicates things. Puzzles often assume you know this standard definition, so I can't use 1. \n\nAnother thought I had is that \"prime apples\" could be a playful twist, but it doesn't seem to work out here. Ultimately, the requirement that one gets exactly twice as many apples adds extra layers, emphasizing that the primes must be distinct." + }, + { + "index": 4, + "type": "summary_text", + "text": "**Exploring apple distribution logic**\n\nI've concluded that both the smaller and larger numbers must be primes. Double a prime must be even, and the only even prime is 2. So if one of them is 2, the only solution is if the smaller is 1, but 1 isn’t prime. This suggests no solution exists under standard definitions of primes. \n\nIt seems the puzzle may be playing with definitions, hinting that 1 counts as a prime. Thus, the combination of 1, 2, and 11 fits, where one gets twice as much. However, it shifts my focus to how the problem is framed, leading me to consider the contradictions in the instructions." + }, + { + "index": 5, + "type": "summary_text", + "text": "**Analyzing the prime apple distribution puzzle**\n\nThis puzzle has three distinct prime numbers that must add up to 14, which requires one of them to be the even prime, 2. The only way this can happen is if two odd primes sum to 12. Possible pairs are limited, like (5, 7), but they don't double. \n\nHowever, including 1 as a prime (though it’s not in modern definitions) leads to the only valid triples of 1, 2, and 11. Yet, this requires acknowledging that 1 isn’t actually prime today. So under standard definitions, there's no solution, but if we accept older conventions, we can find one." + }, + { + "index": 6, + "type": "summary_text", + "text": "**Exploring the apple distribution puzzle**\n\nTo address the puzzle, we consider that if 1 is counted as a prime, the solution becomes 1, 2, and 11. However, traditionally, 1 is not considered prime, leading to \"no solution\" under standard definitions. \n\nHere’s the step-by-step reasoning:\n\n- Let a, b, and c be distinct primes with one being double another.\n- For both a and b to be primes, if b equals 1, that’s contradictory since 1 isn’t prime.\n- Relaxing the definition, a could be 2, b as 1, and c is 11, satisfying both the sum of 14 and the doubling property.\n\nThus, we conclude \"no solution\" under standard definitions, but using old conventions gives 1, 2, and 11." + }, + { + "index": 7, + "type": "summary_text", + "text": "**Analyzing the prime numbers puzzle**\n\nThe only combination of distinct primes that sums to 14 is {2, 5, 7}. However, checking the \"twice\" condition reveals that none of these numbers is exactly double another. \n\nIf we consider a prime that equals twice another, the larger must be 2, which only works with the pair 1 and 2. Yet, 1 is not typically considered a prime in standard definitions, leading to no solution under those rules.\n\nIf we relax this to include 1 as a prime, then 1, 2, and 11 sum to 14 and satisfy the doubling condition. So, we find that under standard definitions, there is no solution, but with 1 considered prime, the shares become 1, 2, and 11." + } + ], + "type": "reasoning", + "index": 0 + }, + { + "type": "text", + "text": "Step-by-step reasoning\n\n1) Let the three shares be distinct primes that sum to 14.\n\n2) Since 14 is even and every prime except 2 is odd, exactly one of the three must be 2. So write 2 + p + q = 14, which gives p + q = 12 with p and q odd primes.\n\n3) The only pair of distinct odd primes summing to 12 is 5 and 7. So the only triple of distinct primes summing to 14 is {2, 5, 7}.\n\n4) Check the “twice” condition: in {2, 5, 7} no number is twice another.\n\n5) More generally, if one prime is exactly twice another prime, say x = 2y, then x is even, so x must be 2. That forces y = 1, but 1 is not prime under the standard definition.\n\nConclusion\n- Under the usual (modern) definition of prime numbers, there is no solution.\n- If you (nonstandardly) allow 1 to be prime, then the shares are 1, 2, and 11 (since 1 + 2 + 11 = 14 and 2 is twice 1).", + "index": 1, + "id": "msg_0b7db12571bbed190069fe79ed80fc8197af553cc3db91b9c2" + } + ], + "additional_kwargs": {}, + "response_metadata": { + "model_provider": "openai", + "id": "resp_0b7db12571bbed190069fe79b7baa081978f62b7eefa4efa9e", + "created_at": 1778284983, + "metadata": {}, + "model": "gpt-5-2025-08-07", + "object": "response", + "service_tier": "default", + "status": "completed", + "model_name": "gpt-5-2025-08-07" + }, + "type": "ai", + "name": null, + "id": "resp_0b7db12571bbed190069fe79b7baa081978f62b7eefa4efa9e", + "tool_calls": [], + "invalid_tool_calls": [], + "usage_metadata": { + "input_tokens": 79, + "output_tokens": 4385, + "total_tokens": 4464, + "input_token_details": { + "cache_read": 0 + }, + "output_token_details": { + "reasoning": 4096 + } + } + } + ], + "model": "gpt-5", + "reasoning_effort": "high" + } + } + ] +} \ No newline at end of file From aebe2ca867c989ce8e542e50f0b051e349f3a88d Mon Sep 17 00:00:00 2001 From: Brian Love Date: Fri, 8 May 2026 17:08:42 -0700 Subject: [PATCH 3/8] fix(langgraph): replace partial accumulator when final canonical content arrives --- .../internals/stream-manager.bridge.spec.ts | 52 +++++++++++++++++++ .../lib/internals/stream-manager.bridge.ts | 30 +++++++++++ 2 files changed, 82 insertions(+) diff --git a/libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts b/libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts index 66c885455..755357056 100644 --- a/libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts +++ b/libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts @@ -5,6 +5,22 @@ import { MockAgentTransport } from '../transport/mock-stream.transport'; import { ResourceStatus, AgentTransport, StreamSubjects, CustomStreamEvent, StreamEvent } from '../agent.types'; import type { ThreadState } from '@langchain/langgraph-sdk'; import { of } from 'rxjs'; +import { readFileSync } from 'node:fs'; +import { join, dirname } from 'node:path'; +import { fileURLToPath } from 'node:url'; + +const __dirname = dirname(fileURLToPath(import.meta.url)); +const FIXTURE = JSON.parse( + readFileSync( + join(__dirname, '..', '..', '..', 'test', 'fixtures', 'streaming-reasoning-puzzle.json'), + 'utf8', + ), +) as { + thread_id: string; + canonical_text_length: number; + canonical_text: string; + events: Array<{ event: string; data: unknown }>; +}; function makeSubjects(): StreamSubjects> { return { @@ -1079,3 +1095,39 @@ describe('stream-manager.bridge — reasoning extraction', () => { expect(accumulateReasoning('first ', 'second')).toBe('first second'); }); }); + +describe('stream-manager.bridge — captured streaming replay (Finding C)', () => { + const { mergeMessages, extractText, normalizeMessageType } = _internalsForTesting; + + it('replaying captured chunks does not duplicate visible answer text', () => { + let merged: unknown[] = []; + for (const ev of FIXTURE.events) { + if (ev.event === 'messages') { + const tuples = ev.data as unknown[]; + const incoming = tuples + .map(t => (Array.isArray(t) ? t[0] : t)) + .filter(m => m != null && typeof (m as Record)['type'] === 'string') as unknown[]; + if (incoming.length === 0) continue; + merged = mergeMessages(merged as never, incoming as never) as unknown[]; + } else if (ev.event === 'values') { + // Mirror what the bridge does: also merge state.messages from values events. + const stateMessages = ((ev.data as Record)['messages'] ?? []) as unknown[]; + const incoming = stateMessages.filter( + m => m != null && typeof (m as Record)['type'] === 'string', + ) as unknown[]; + if (incoming.length === 0) continue; + merged = mergeMessages(merged as never, incoming as never) as unknown[]; + } + } + + const lastAi = (merged as Array<{ type?: string; content?: unknown }>) + .filter(m => normalizeMessageType(m.type) === 'ai') + .pop(); + expect(lastAi).toBeTruthy(); + + const visible = extractText(lastAi!.content); + const expected = FIXTURE.canonical_text_length; + expect(visible.length).toBeGreaterThanOrEqual(expected - 20); + expect(visible.length).toBeLessThanOrEqual(expected + 20); + }); +}); diff --git a/libs/langgraph/src/lib/internals/stream-manager.bridge.ts b/libs/langgraph/src/lib/internals/stream-manager.bridge.ts index b777e43a7..724a53328 100644 --- a/libs/langgraph/src/lib/internals/stream-manager.bridge.ts +++ b/libs/langgraph/src/lib/internals/stream-manager.bridge.ts @@ -919,6 +919,27 @@ function mergeMessages( * delta. Concatenating extracted text gives consumers the same uniform * string they get for non-reasoning models. */ +/** + * Heuristic: does this content look like a "final canonical" array + * carrying both reasoning and visible text blocks? OpenAI's Responses + * API ships the final assistant message in this shape after the + * streaming token chunks complete. Detection is narrow (requires BOTH + * a reasoning-shape block AND a text-shape block in the same array) + * so it doesn't trip on routine streaming chunks. + */ +function isFinalCanonicalReasoningContent(content: unknown): boolean { + if (!Array.isArray(content)) return false; + let hasReasoning = false; + let hasText = false; + for (const block of content) { + if (block == null || typeof block !== 'object') continue; + const t = (block as Record)['type']; + if (t === 'reasoning' || t === 'thinking') hasReasoning = true; + else if (t === 'text' || t === 'output_text') hasText = true; + } + return hasReasoning && hasText; +} + function accumulateContent(existing: unknown, incoming: unknown): string { const existingText = extractText(existing); const incomingText = extractText(incoming); @@ -934,6 +955,14 @@ function accumulateContent(existing: unknown, incoming: unknown): string { // Existing already a strict-superset — chunk arrived after the canonical // message merged in via values-sync. Keep what we have. if (existingText.startsWith(incomingText)) return existingText; + // Final-canonical detection: when incoming is the "reasoning + text" + // array shape that ships the authoritative final message after a + // streaming run, replace the partial streamed accumulator with the + // canonical text instead of appending. Without this branch a small + // formatting difference between the streamed accumulator and the + // canonical text breaks the prefix checks above and visible content + // is duplicated (`existingText + incomingText`). + if (isFinalCanonicalReasoningContent(incoming)) return incomingText; // Otherwise treat incoming as a delta and append. return existingText + incomingText; } @@ -1143,4 +1172,5 @@ export const _internalsForTesting = { mergeMessages, preserveIds, normalizeMessageType, + isFinalCanonicalReasoningContent, }; From 96dbca07a16919bac0a4d474a4a0ec611b76619e Mon Sep 17 00:00:00 2001 From: Brian Love Date: Fri, 8 May 2026 17:09:59 -0700 Subject: [PATCH 4/8] test(langgraph): pin accumulateContent (delta append + final-canonical replace) --- .../internals/stream-manager.bridge.spec.ts | 27 +++++++++++++++++++ 1 file changed, 27 insertions(+) diff --git a/libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts b/libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts index 755357056..752d1fc07 100644 --- a/libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts +++ b/libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts @@ -1096,6 +1096,33 @@ describe('stream-manager.bridge — reasoning extraction', () => { }); }); +describe('stream-manager.bridge — accumulateContent', () => { + const { accumulateContent, isFinalCanonicalReasoningContent } = _internalsForTesting; + + it('returns incoming when existing is empty', () => { + expect(accumulateContent('', 'hello')).toBe('hello'); + expect(accumulateContent(undefined, 'hello')).toBe('hello'); + }); + + it('appends sequential string deltas (the legitimate delta path)', () => { + expect(accumulateContent('hello', 'world')).toBe('helloworld'); + }); + + it('replaces partial accumulator when final canonical reasoning+text array arrives', () => { + const existing = 'partial answer'; + const incoming = [ + { type: 'reasoning', summary: [{ type: 'summary_text', text: 'I thought about it.' }] }, + { type: 'text', text: 'CANONICAL ANSWER' }, + ]; + expect(accumulateContent(existing, incoming)).toBe('CANONICAL ANSWER'); + expect(isFinalCanonicalReasoningContent(incoming)).toBe(true); + }); + + it('takes incoming when it is a strict superset of existing', () => { + expect(accumulateContent('Step 1', 'Step 1: define')).toBe('Step 1: define'); + }); +}); + describe('stream-manager.bridge — captured streaming replay (Finding C)', () => { const { mergeMessages, extractText, normalizeMessageType } = _internalsForTesting; From 62fd27decf47efd39a346b0ba9f656dbabedd659 Mon Sep 17 00:00:00 2001 From: Brian Love Date: Fri, 8 May 2026 17:10:15 -0700 Subject: [PATCH 5/8] test(langgraph): pin mergeMessages (id-match, trailing-ai, final-canonical) --- .../internals/stream-manager.bridge.spec.ts | 41 +++++++++++++++++++ 1 file changed, 41 insertions(+) diff --git a/libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts b/libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts index 752d1fc07..1394d1d92 100644 --- a/libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts +++ b/libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts @@ -1123,6 +1123,47 @@ describe('stream-manager.bridge — accumulateContent', () => { }); }); +describe('stream-manager.bridge — mergeMessages', () => { + const { mergeMessages } = _internalsForTesting; + + function aiMessage(opts: { id?: string; content: unknown }): unknown { + return { type: 'ai', id: opts.id, content: opts.content, _getType: () => 'ai' }; + } + + it('accumulates same-id chunks into a single AI message', () => { + const c1 = aiMessage({ id: 'run-1', content: 'Hello' }); + const c2 = aiMessage({ id: 'run-1', content: 'Hello world' }); + const merged = mergeMessages([] as never, [c1] as never); + const merged2 = mergeMessages(merged, [c2] as never); + expect(merged2.length).toBe(1); + expect((merged2[0] as { content?: unknown }).content).toBe('Hello world'); + }); + + it('chunk without id falls into the trailing AI message', () => { + const initial = aiMessage({ id: 'run-1', content: 'Hello' }); + const chunk = aiMessage({ content: ' world' }); + const merged = mergeMessages([initial] as never, [chunk] as never); + expect(merged.length).toBe(1); + expect((merged[0] as { content?: unknown }).content).toBe('Hello world'); + }); + + it('reasoning+text content array sets next.reasoning AND replaces partial content', () => { + const initial = aiMessage({ id: 'run-1', content: 'partial' }); + const finalCanonical = aiMessage({ + id: 'run-1', + content: [ + { type: 'reasoning', summary: [{ type: 'summary_text', text: 'thinking…' }] }, + { type: 'text', text: 'final answer' }, + ], + }); + const merged = mergeMessages([initial] as never, [finalCanonical] as never); + expect(merged.length).toBe(1); + const r = merged[0] as { content?: unknown; reasoning?: unknown }; + expect(r.content).toBe('final answer'); + expect(r.reasoning).toBe('thinking…'); + }); +}); + describe('stream-manager.bridge — captured streaming replay (Finding C)', () => { const { mergeMessages, extractText, normalizeMessageType } = _internalsForTesting; From a2a1e90d4a64536c3808f962ae99cc585773ede8 Mon Sep 17 00:00:00 2001 From: Brian Love Date: Fri, 8 May 2026 17:10:28 -0700 Subject: [PATCH 6/8] test(langgraph): pin collapseAdjacentAi (collapse identical, keep distinct) --- .../internals/stream-manager.bridge.spec.ts | 23 +++++++++++++++++++ 1 file changed, 23 insertions(+) diff --git a/libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts b/libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts index 1394d1d92..1c3c1835a 100644 --- a/libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts +++ b/libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts @@ -1164,6 +1164,29 @@ describe('stream-manager.bridge — mergeMessages', () => { }); }); +describe('stream-manager.bridge — collapseAdjacentAi', () => { + const { collapseAdjacentAi } = _internalsForTesting; + + function aiMessage(opts: { id?: string; content: unknown }): unknown { + return { type: 'ai', id: opts.id, content: opts.content, _getType: () => 'ai' }; + } + + it('collapses two adjacent AI messages with identical text into one', () => { + const a = aiMessage({ id: 'a', content: 'hello world' }); + const b = aiMessage({ id: 'b', content: 'hello world' }); + const out = collapseAdjacentAi([a, b] as never); + expect(out.length).toBe(1); + expect((out[0] as { content?: unknown }).content).toBe('hello world'); + }); + + it('keeps two adjacent AI messages with non-prefix-related text', () => { + const a = aiMessage({ id: 'a', content: 'hello' }); + const b = aiMessage({ id: 'b', content: 'goodbye' }); + const out = collapseAdjacentAi([a, b] as never); + expect(out.length).toBe(2); + }); +}); + describe('stream-manager.bridge — captured streaming replay (Finding C)', () => { const { mergeMessages, extractText, normalizeMessageType } = _internalsForTesting; From 14b4d7bd960b45036bd9da5376e482febfcd348b Mon Sep 17 00:00:00 2001 From: Brian Love Date: Fri, 8 May 2026 16:41:57 -0700 Subject: [PATCH 7/8] docs(spec): @ngaf/langgraph streaming content dedup Targets Finding C from the live smoke pass: visible answer renders ~1.83x expected length in chat-streaming-md when the AI message content array has both a reasoning block (with summary items) and a text block. Root cause: accumulateContent's fallback blindly appends when neither side is a strict prefix. Streaming accumulator (~690 chars) plus final canonical text (830 chars) differ by trailing whitespace or normalization, so the prefix check fails and the bug fires. Reference research grounded the approach. Stays with the current model; hardens the fallback with a captured-fixture replay test plus 9 helper unit tests pinning both the genuine delta-append path and the bug-fix path. Co-Authored-By: Claude Opus 4.7 (1M context) --- ...anggraph-streaming-content-dedup-design.md | 152 ++++++++++++++++++ 1 file changed, 152 insertions(+) create mode 100644 docs/superpowers/specs/2026-05-08-langgraph-streaming-content-dedup-design.md diff --git a/docs/superpowers/specs/2026-05-08-langgraph-streaming-content-dedup-design.md b/docs/superpowers/specs/2026-05-08-langgraph-streaming-content-dedup-design.md new file mode 100644 index 000000000..03c03c717 --- /dev/null +++ b/docs/superpowers/specs/2026-05-08-langgraph-streaming-content-dedup-design.md @@ -0,0 +1,152 @@ +# `@ngaf/langgraph` Streaming Content Dedup + +**Date:** 2026-05-08 +**Status:** Approved +**Surfaced by:** live-Chrome smoke pass against `examples/chat` after Phase 2A landed (`8300be9b` on `origin/main`). + +## Goal + +Fix the visible content duplication in `` when an assistant message's content has both a `reasoning` block and a `text` block. Land tight unit-test coverage for the streaming-merge helpers in `libs/langgraph/src/lib/internals/stream-manager.bridge.ts`, which currently have no direct test coverage despite being the most fragile part of the adapter. + +## The bug + +**Reproduction (currently broken on `origin/main`):** + +- Demo: `examples/chat/angular` workspace-linked, against `examples/chat/python` with `reasoning.summary='auto'` (landed in PR #217). +- Set palette: model=`gpt-5`, effort=`high`. Click the "Solve a multi-step puzzle (try Effort = high)" welcome suggestion. +- Server-side state for the resulting AI message: + +```json +{ + "type": "ai", + "content": [ + { "type": "reasoning", "summary": [{ "type": "summary_text", "text": "..." }] }, + { "type": "text", "text": "<830 chars of visible answer>" } + ] +} +``` + +- DOM-side after the stream settles: `chat-message[1].textContent.length === 1520`. The visible answer renders ~1.83× the expected length — the canonical text appears almost-but-not-quite twice. + +## Root-cause analysis + +The fragile path is the fallback inside `accumulateContent`: + +```ts +function accumulateContent(existing: unknown, incoming: unknown): string { + const existingText = extractText(existing); + const incomingText = extractText(incoming); + + if (existingText.length === 0) return incomingText; + if (incomingText.length === 0) return existingText; + if (incomingText.startsWith(existingText)) return incomingText; + if (existingText.startsWith(incomingText)) return existingText; + // FALLBACK (the bug locus): treat incoming as a delta and append. + return existingText + incomingText; +} +``` + +When neither side is a strict prefix of the other, the function blindly concatenates. The visible 1.83× ratio (≈690 + 830 ≈ 1520) suggests the streaming accumulator reaches ~690 chars while the final canonical message arrives with the full 830 chars; small formatting differences (whitespace, smart-quote normalization, NFC, or simply the leading reasoning block shifting which block `extractText` picks up) break the prefix check, and the fallback fires. + +This bug surfaces specifically when content arrays contain both `reasoning` and `text` blocks because the content shape changes mid-stream from "string deltas" to "array with mixed blocks". Pre-Phase-2A the demo never exercised this path. + +## Reference research + +Two well-known consumer libraries handle this differently: + +**CopilotKit** (`packages/runtime/src/agents/langgraph/event-source.ts`) — emits explicit `TextMessageStart` / `TextMessageContent` (with delta) / `TextMessageEnd` events through an RxJS `scan`. Downstream consumers append deltas. There is no dedupe logic — the wire protocol is delta-only by design. + +**Hashbrown** (`packages/core/src/utils/assistant-message.ts`) — `updateAssistantMessage` is a single-line append: `existing.content + delta.choices[0].delta.content`. Pure delta protocol from the OpenAI SDK chat completions API. + +Neither tries to prefix-detect or content-dedupe — because they don't have to. They live downstream of a delta-only wire protocol. + +The `@ngaf/langgraph` adapter is the only one of the three trying to recover delta-like behavior from a hybrid snapshot+chunk source (the LangChain JS SDK's `astream` plus a final canonical message). That recovery is the source of the bug. + +## Approach + +Stay with the snapshot+dedupe model — converting to a CopilotKit-style delta protocol is a much larger refactor that would change the public `Message` shape and break downstream consumers. Instead, harden the existing pipeline by capturing a real chunk sequence, replaying it as a unit test, and applying a targeted fix. + +### Step 1 — capture + +Turn on the existing trace harness (`localStorage.setItem('NGAF_CHAT_STREAM_TRACE','1')`) and run the puzzle prompt with model=gpt-5, effort=high. Persist the actual sequence of `messages` events the bridge sees as a JSON fixture at `libs/langgraph/test/fixtures/streaming-reasoning-puzzle.json`. + +### Step 2 — failing replay test + +Add a unit test that loads the fixture and replays it through `mergeMessages` against an empty initial state. Assert: + +```ts +const final = chunks.reduce((state, chunk) => mergeMessages(state, [chunk]), [] as BaseMessage[]); +expect(typeof final[final.length - 1].content).toBe('string'); +expect((final[final.length - 1].content as string).length).toBe(830); // server canonical text length +``` + +This will currently fail at ~1520. Adjust the exact length assertion to whatever the captured fixture's server-side text block reports. + +### Step 3 — diagnose + +From the captured chunks, identify which event triggers the append fallback. Three plausible mechanisms: + +- **a.** Final canonical content array has slightly different text than the streaming accumulator (whitespace, normalization). +- **b.** `extractText` is including a delta-token block that the final canonical excludes (e.g. `output_text` vs `text` discrimination). +- **c.** A reasoning-block presence in the incoming array shifts which block `extractText` picks up. + +### Step 4 — targeted fix (decision after Step 3) + +Pick whichever matches the diagnosis. Prefer the narrowest fix that doesn't regress the genuine delta-append path: + +- **4a.** Detect "this is a final canonical message" (heuristic: incoming has `response_metadata.finish_reason` set, OR incoming.content is an array containing both `reasoning`/`thinking` AND `text`/`output_text` blocks) — when detected, the incoming is authoritative. Replace existing content with `extractText(incoming)`; never append. +- **4b.** Normalize `extractText`'s output (trim trailing whitespace, NFC) before the prefix comparison. Cheap, but only helps if the issue is text-level differences. +- **4c.** Track per-id state in the bridge: once a message id has received a final-shape canonical, refuse further appends — only allow replacement or strict prefix extension. + +The default plan if Step 3 doesn't decisively rule out any: **4a** for the immediate fix (smallest blast radius, narrow trigger condition). Whatever Step 3 reveals, do NOT change the fallback to "longer wins" — that path discards legitimate sequential delta tokens. + +### Step 5 — pin behavior + +Add unit tests for the three currently-untested helpers, in addition to the captured-fixture replay test. + +`accumulateContent` (4 cases): +1. Empty existing + string incoming → incoming. +2. String delta + string delta where incoming is NOT a prefix → append (current legitimate path; pin it does NOT regress). +3. String existing + array-with-reasoning+text incoming where text differs → replace with incoming text (the bug-fix path). +4. String existing + array incoming where text is a strict superset → take superset. + +`mergeMessages` (3 cases): +1. Same-id chunks accumulate content. +2. Chunk arriving without an id falls into the most-recent AI message. +3. Reasoning + text array as incoming sets `next.reasoning` to the summary text and `next.content` to the text-block string. + +`collapseAdjacentAi` (2 cases — regression coverage): +1. Two adjacent AI messages with identical text → collapse to one. +2. Two adjacent AI messages with non-prefix-related text → keep both. + +## Out of scope (defer) + +- **Migrating to a CopilotKit-style delta-event protocol.** Bigger refactor; changes public `Message` shape; not justified by this single bug. +- **Replacing `extractText` / `extractReasoning` / `accumulateReasoning`.** Just shipped in PR #217 with their own tests; leave them. +- **Refactor toward a single `applyMessageUpdate(state, incoming) → state` primitive.** Tempting (cleaner mental model) but risks regressions in subagent tracking, queue replay, history sync, and other surfaces depending on the current helper boundaries. Defer. +- **Finding D (thread restoration on reload).** Separate brainstorm/spec/plan. + +## Files touched + +| Path | Change | +|---|---| +| `libs/langgraph/src/lib/internals/stream-manager.bridge.ts` | targeted fix in `accumulateContent` (~10 LOC); optional state-track in `mergeMessages` (~10 LOC) | +| `libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts` | +9 unit tests + 1 fixture-driven replay test (~250 LOC) | +| `libs/langgraph/test/fixtures/streaming-reasoning-puzzle.json` | NEW — captured chunks from the live run | + +Total ≈ 270 LOC, mostly tests + the fixture. + +## Definition of done + +1. PR merged. +2. All existing langgraph specs still green. +3. The captured-fixture replay test passes — final content length matches the server canonical (±20 chars for whitespace). +4. Live smoke against the workspace demo: puzzle prompt produces a single bubble whose `chat-message[1].textContent.length` is in the range of the server's `text` block length. Empirically: < 1.1× expected, not 1.83×. +5. New unit tests pin: legitimate delta-append still works; final canonical replaces partial accumulator; reasoning-block content arrays still extract correctly. + +## Risks + +- **Capture step depends on Chrome MCP working.** Currently it does. Fallback: query LangGraph's event replay endpoint (`/threads/{tid}/runs/{rid}/events`) directly via curl to capture the raw stream. +- **The fix might mask a different latent bug.** Mitigation: the unit tests pin both the legitimate delta-append path AND the bug-fix path; a regression in either direction surfaces in CI. +- **Reasoning-block content array detection (4a heuristic) might trip on a future content shape** (e.g. tool-call blocks layered with text). Mitigation: scope the heuristic narrowly — incoming is an array AND contains BOTH a `reasoning`/`thinking` block AND a `text`/`output_text` block. For any other shape, fall back to current prefix-detection behavior. +- **Existing langgraph spec count is 43.** This PR adds 9 + 1 = 10 new tests. CI duration shifts negligibly (the spec file is under 50ms total). From 85e2148f4dc65ac0047a153e5948ad61dbc71fcf Mon Sep 17 00:00:00 2001 From: Brian Love Date: Fri, 8 May 2026 17:00:01 -0700 Subject: [PATCH 8/8] docs(plan): @ngaf/langgraph streaming content dedup plan Six-phase plan: branch, capture script (Node ESM using LangGraph SDK directly to dump chunks as JSON fixture), failing replay test, targeted fix in accumulateContent (narrow heuristic for final-canonical reasoning+text array shape), 9 helper unit tests pinning both legitimate delta-append and bug-fix replace paths, verification and PR. Co-Authored-By: Claude Opus 4.7 (1M context) --- ...05-08-langgraph-streaming-content-dedup.md | 770 ++++++++++++++++++ 1 file changed, 770 insertions(+) create mode 100644 docs/superpowers/plans/2026-05-08-langgraph-streaming-content-dedup.md diff --git a/docs/superpowers/plans/2026-05-08-langgraph-streaming-content-dedup.md b/docs/superpowers/plans/2026-05-08-langgraph-streaming-content-dedup.md new file mode 100644 index 000000000..8ab52ee1e --- /dev/null +++ b/docs/superpowers/plans/2026-05-08-langgraph-streaming-content-dedup.md @@ -0,0 +1,770 @@ +# `@ngaf/langgraph` Streaming Content Dedup — Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Eliminate the visible content duplication in `` for assistant messages whose content array contains both `reasoning` and `text` blocks (Finding C from the live smoke pass). + +**Architecture:** Capture a real chunk sequence from the live demo against `gpt-5` + `effort='high'`, persist it as a unit-test fixture, write a failing replay test that reproduces the duplication, then narrow the fix to `accumulateContent`'s fallback so a final-canonical-shape incoming message replaces partial accumulator content instead of appending. Pin the behaviour with 9 helper unit tests covering `accumulateContent`, `mergeMessages`, and `collapseAdjacentAi`. + +**Tech Stack:** TypeScript (`libs/langgraph` + vitest), Node 22 (capture script), LangChain JS SDK, LangGraph in-mem dev server. + +**Spec:** `docs/superpowers/specs/2026-05-08-langgraph-streaming-content-dedup-design.md` + +**Branch:** `claude/langgraph-streaming-content-dedup`, branched from `origin/main`. + +**Hard constraint:** Never reference hashbrown / copilotkit / chatgpt / chatbot-kit / claude in code, comments, commit messages, or PR titles/bodies. (Spec/plan markdown docs already use those library names to ground the analysis — do not propagate them anywhere else.) + +--- + +## File Structure + +``` +libs/langgraph/ +├── src/lib/internals/ +│ ├── stream-manager.bridge.ts # targeted fix in accumulateContent (~12 LOC) +│ └── stream-manager.bridge.spec.ts # +9 helper unit tests + 1 fixture replay test (~280 LOC) +└── test/fixtures/ + ├── capture-streaming-reasoning-puzzle.mjs # NEW: Node ESM capture script (~50 LOC) + └── streaming-reasoning-puzzle.json # NEW: captured chunks (data, generated) +``` + +Total ≈ 350 LOC including the fixture. + +--- + +## Phase 0 — Branch creation + +### Task 0.1: Create implementation branch + +- [ ] **Step 1: Branch from origin/main** + +```bash +cd /Users/blove/repos/angular-agent-framework +git fetch origin main +git checkout -b claude/langgraph-streaming-content-dedup origin/main +git rev-parse --abbrev-ref HEAD # must echo claude/langgraph-streaming-content-dedup +git log --oneline -1 # must be on origin/main HEAD +``` + +--- + +## Phase 1 — Capture the chunk fixture + +### Task 1.1: Write a standalone Node capture script + +**Files:** +- Create: `libs/langgraph/test/fixtures/capture-streaming-reasoning-puzzle.mjs` + +The capture script runs against a live LangGraph dev server. It uses the `@langchain/langgraph-sdk` Client directly — same shape the bridge consumes — and dumps every `messages` event to a JSON file. This is robust against Chrome MCP outages and produces deterministic ground truth. + +- [ ] **Step 1: Create the capture script** + +Path: `libs/langgraph/test/fixtures/capture-streaming-reasoning-puzzle.mjs` + +```mjs +#!/usr/bin/env node +// SPDX-License-Identifier: MIT +/** + * Captures the streaming chunk sequence produced by the LangGraph + * SDK for a real `gpt-5 + reasoning.effort=high` run against the + * canonical examples/chat backend. The output JSON is the ground- + * truth fixture for stream-manager.bridge.spec.ts: + * - Each entry is a `messages` event payload (an array of message + * tuples) — exactly what the bridge sees per chunk. + * + * Run instructions (from repo root): + * 1. Ensure OPENAI_API_KEY is in examples/chat/python/.env + * 2. Start backend: + * cd examples/chat/python && uv run langgraph dev --port 2024 --no-browser + * 3. In another terminal, run: + * node libs/langgraph/test/fixtures/capture-streaming-reasoning-puzzle.mjs + * 4. Output is written to libs/langgraph/test/fixtures/streaming-reasoning-puzzle.json + */ + +import { writeFileSync } from 'node:fs'; +import { fileURLToPath } from 'node:url'; +import { dirname, join } from 'node:path'; +import { Client } from '@langchain/langgraph-sdk'; + +const SCRIPT_DIR = dirname(fileURLToPath(import.meta.url)); +const OUT = join(SCRIPT_DIR, 'streaming-reasoning-puzzle.json'); +const API_URL = process.env.LANGGRAPH_URL || 'http://localhost:2024'; +const ASSISTANT_ID = process.env.LANGGRAPH_ASSISTANT_ID || 'chat'; + +const PROMPT = + 'Three friends start with 14 apples. They share them so each gets ' + + 'a different prime number of apples and one gets exactly twice as ' + + 'many as another. How many does each get? Walk through your ' + + 'reasoning step by step.'; + +async function main() { + const client = new Client({ apiUrl: API_URL }); + + const ok = await fetch(`${API_URL}/ok`).then(r => r.ok).catch(() => false); + if (!ok) { + console.error(`Backend not reachable at ${API_URL}/ok — is langgraph dev running?`); + process.exit(1); + } + + const thread = await client.threads.create(); + console.error(`thread=${thread.thread_id}`); + + const events = []; + let chunkCount = 0; + for await (const event of client.runs.stream(thread.thread_id, ASSISTANT_ID, { + input: { + messages: [{ role: 'user', content: PROMPT }], + model: 'gpt-5', + reasoning_effort: 'high', + }, + streamMode: ['messages-tuple', 'values'], + })) { + chunkCount += 1; + events.push({ event: event.event, data: event.data }); + if (event.event === 'messages') { + const tuples = Array.isArray(event.data) ? event.data : []; + const lastMsg = tuples.length ? tuples[tuples.length - 1] : null; + const len = + lastMsg && Array.isArray(lastMsg) && lastMsg[0] && typeof lastMsg[0].content === 'string' + ? lastMsg[0].content.length + : '?'; + process.stderr.write(` chunk #${chunkCount} (messages, len=${len})\n`); + } + } + + // Final state — useful as the canonical reference in the assertion. + const state = await client.threads.getState(thread.thread_id); + const finalAi = (state.values?.messages || []).filter(m => m.type === 'ai').pop(); + const finalContent = finalAi?.content; + const canonicalText = Array.isArray(finalContent) + ? finalContent + .filter(b => b && (b.type === 'text' || b.type === 'output_text')) + .map(b => b.text) + .filter(t => typeof t === 'string') + .join('') + : typeof finalContent === 'string' + ? finalContent + : ''; + + const out = { + thread_id: thread.thread_id, + canonical_text_length: canonicalText.length, + canonical_text: canonicalText, + events, + }; + writeFileSync(OUT, JSON.stringify(out, null, 2)); + console.error(`\n✓ wrote ${OUT}`); + console.error(` events: ${events.length}, canonical_text_length: ${canonicalText.length}`); +} + +main().catch(err => { + console.error('capture failed:', err); + process.exit(1); +}); +``` + +- [ ] **Step 2: Make script executable** + +Run: +```bash +chmod +x libs/langgraph/test/fixtures/capture-streaming-reasoning-puzzle.mjs +``` + +- [ ] **Step 3: Lint check (parse-only)** + +Run: +```bash +node --check libs/langgraph/test/fixtures/capture-streaming-reasoning-puzzle.mjs +``` +Expected: no output (syntax OK). + +- [ ] **Step 4: Commit** + +```bash +git add libs/langgraph/test/fixtures/capture-streaming-reasoning-puzzle.mjs +git commit -m "chore(langgraph): script to capture streaming reasoning fixture" +``` + +### Task 1.2: Run the capture script and persist the fixture + +- [ ] **Step 1: Ensure OPENAI_API_KEY in `examples/chat/python/.env`** + +```bash +cd /Users/blove/repos/angular-agent-framework +ls examples/chat/python/.env 2>/dev/null || grep "OPENAI_API_KEY" .env > examples/chat/python/.env +head -1 examples/chat/python/.env | cut -c1-30 +``` +Expected: `OPENAI_API_KEY=sk-...` (first 30 chars). + +- [ ] **Step 2: Start backend in background** + +```bash +nohup uv run --directory examples/chat/python langgraph dev --port 2024 --no-browser > /tmp/exchat-py-c.log 2>&1 & +PY_PID=$! +echo "py pid=$PY_PID" +``` + +Wait until `/ok` returns: +```bash +for i in $(seq 1 30); do curl -sf http://localhost:2024/ok && break; sleep 2; done +echo " backend OK" +``` + +- [ ] **Step 3: Run the capture script** + +```bash +cd /Users/blove/repos/angular-agent-framework +node libs/langgraph/test/fixtures/capture-streaming-reasoning-puzzle.mjs 2>&1 +``` + +Expected output ends with: +``` +✓ wrote /Users/blove/repos/angular-agent-framework/libs/langgraph/test/fixtures/streaming-reasoning-puzzle.json + events: , canonical_text_length: +``` + +The captured fixture should weigh 50–500 KB depending on response length. Verify: +```bash +ls -lh libs/langgraph/test/fixtures/streaming-reasoning-puzzle.json +python3 -c "import json; d=json.load(open('libs/langgraph/test/fixtures/streaming-reasoning-puzzle.json')); print('events:', len(d['events']), 'canonical_text_length:', d['canonical_text_length'])" +``` + +- [ ] **Step 4: Stop backend** + +```bash +pkill -f "langgraph dev" 2>/dev/null +sleep 1 +lsof -nP -iTCP:2024 -sTCP:LISTEN 2>&1 | head -2 +``` +Expected: nothing listening on :2024. + +- [ ] **Step 5: Commit fixture** + +```bash +git add libs/langgraph/test/fixtures/streaming-reasoning-puzzle.json +git commit -m "test(langgraph): capture gpt-5 reasoning streaming chunks fixture" +``` + +**Fallback if Step 3 errors:** If the OpenAI API rejects the request (rate limit, model unavailable, etc.) try `model=gpt-5-mini` instead. Edit the capture script's `model: 'gpt-5'` to `model: 'gpt-5-mini'` and re-run. The duplication symptom appears with both models because it's an adapter bug, not a model bug. Note the model used in the fixture so subsequent assertions match. + +--- + +## Phase 2 — Failing replay test (TDD) + +### Task 2.1: Write the captured-fixture replay test + +**Files:** +- Modify: `libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts` + +- [ ] **Step 1: Add the replay test at the bottom of the file** + +Open `libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts`. After all existing `describe(...)` blocks (the file currently ends after the reasoning-extraction tests), append a new top-level `describe`: + +```ts +import { readFileSync } from 'node:fs'; +import { join, dirname } from 'node:path'; +import { fileURLToPath } from 'node:url'; + +const __dirname = dirname(fileURLToPath(import.meta.url)); +const FIXTURE = JSON.parse( + readFileSync( + join(__dirname, '..', '..', '..', 'test', 'fixtures', 'streaming-reasoning-puzzle.json'), + 'utf8', + ), +) as { + thread_id: string; + canonical_text_length: number; + canonical_text: string; + events: Array<{ event: string; data: unknown }>; +}; + +describe('stream-manager.bridge — captured streaming replay (Finding C)', () => { + const { mergeMessages, extractText } = _internalsForTesting; + + it('replaying captured chunks does not duplicate visible answer text', () => { + // Replay the captured `messages` events through mergeMessages, the + // exact entry the bridge uses. Each `messages` event payload is an + // array of [BaseMessage, metadata] tuples — we feed the messages + // (not the metadata) into the merge. + let merged: unknown[] = []; + for (const ev of FIXTURE.events) { + if (ev.event !== 'messages') continue; + const tuples = ev.data as unknown[]; + const incoming = tuples + .map(t => (Array.isArray(t) ? t[0] : t)) + .filter(m => m != null) as unknown[]; + merged = mergeMessages(merged as never, incoming as never) as unknown[]; + } + + const lastAi = (merged as Array<{ type?: string; content?: unknown }>) + .filter(m => m.type === 'ai') + .pop(); + expect(lastAi).toBeTruthy(); + + const visible = extractText(lastAi!.content); + + // Allow ±20 chars for trailing whitespace differences between the + // streamed accumulator and the final canonical text. The bug + // currently produces ≈1.83× length, so this assertion fails before + // the fix lands. + const expected = FIXTURE.canonical_text_length; + expect(visible.length).toBeGreaterThanOrEqual(expected - 20); + expect(visible.length).toBeLessThanOrEqual(expected + 20); + }); +}); +``` + +- [ ] **Step 2: Run the test to verify it FAILS** + +```bash +cd /Users/blove/repos/angular-agent-framework +npx nx run langgraph:test --skip-nx-cache 2>&1 | tail -25 +``` + +Expected: 1 test FAILS — the captured-replay assertion `visible.length` is well above `expected + 20` (likely ~1.83× expected). Pre-existing 50 tests still pass. + +If the test PASSES (which would mean the bug doesn't reproduce in the captured fixture), STOP and report DONE_WITH_CONCERNS — the capture either didn't trigger the duplication path (try a different prompt), or the bug is intermittent (capture more samples). + +Do NOT commit yet — Phase 3 commits the fix + test together as one logical unit. + +--- + +## Phase 3 — Targeted fix in `accumulateContent` + +### Task 3.1: Apply the narrow heuristic fix + +**Files:** +- Modify: `libs/langgraph/src/lib/internals/stream-manager.bridge.ts` + +The fix follows spec approach **4a**: detect when incoming content is a "final canonical with reasoning+text array" and treat it as authoritative — replace the existing string accumulator with the canonical's text. For any other shape, keep the current behaviour (prefix detection + delta append fallback). + +- [ ] **Step 1: Add a helper to detect the final-canonical content shape** + +Open `libs/langgraph/src/lib/internals/stream-manager.bridge.ts`. Locate the `accumulateContent` function (around line 922). + +Insert a new helper directly **above** `accumulateContent`: + +```ts +/** + * Heuristic: does this content look like a "final canonical" array + * carrying both reasoning and visible text blocks? OpenAI's Responses + * API ships the final assistant message in this shape after the + * streaming token chunks complete. Detection is narrow (requires BOTH + * a reasoning-shape block AND a text-shape block in the same array) + * so it doesn't trip on routine streaming chunks. + */ +function isFinalCanonicalReasoningContent(content: unknown): boolean { + if (!Array.isArray(content)) return false; + let hasReasoning = false; + let hasText = false; + for (const block of content) { + if (block == null || typeof block !== 'object') continue; + const t = (block as Record)['type']; + if (t === 'reasoning' || t === 'thinking') hasReasoning = true; + else if (t === 'text' || t === 'output_text') hasText = true; + } + return hasReasoning && hasText; +} +``` + +- [ ] **Step 2: Replace the `accumulateContent` body** + +The current function: + +```ts +function accumulateContent(existing: unknown, incoming: unknown): string { + const existingText = extractText(existing); + const incomingText = extractText(incoming); + + // Always return a string. We never want array content escaping the bridge: + // (a) downstream consumers expect string content, and (b) findContentMatch + // stringifies arrays, which would prevent the canonical-message id-swap + // dedupe from matching the streamed-chunk message after a partial chunk. + if (existingText.length === 0) return incomingText; + if (incomingText.length === 0) return existingText; + // Incoming is a strict-superset of accumulated (final-id swap with full content). + if (incomingText.startsWith(existingText)) return incomingText; + // Existing already a strict-superset — chunk arrived after the canonical + // message merged in via values-sync. Keep what we have. + if (existingText.startsWith(incomingText)) return existingText; + // Otherwise treat incoming as a delta and append. + return existingText + incomingText; +} +``` + +Replace with: + +```ts +function accumulateContent(existing: unknown, incoming: unknown): string { + const existingText = extractText(existing); + const incomingText = extractText(incoming); + + // Always return a string. We never want array content escaping the bridge: + // (a) downstream consumers expect string content, and (b) findContentMatch + // stringifies arrays, which would prevent the canonical-message id-swap + // dedupe from matching the streamed-chunk message after a partial chunk. + if (existingText.length === 0) return incomingText; + if (incomingText.length === 0) return existingText; + // Incoming is a strict-superset of accumulated (final-id swap with full content). + if (incomingText.startsWith(existingText)) return incomingText; + // Existing already a strict-superset — chunk arrived after the canonical + // message merged in via values-sync. Keep what we have. + if (existingText.startsWith(incomingText)) return existingText; + // Final-canonical detection: when incoming is the "reasoning + text" + // array shape that ships the authoritative final message after a + // streaming run, replace the partial streamed accumulator with the + // canonical text instead of appending. Without this branch a small + // formatting difference between the streamed accumulator and the + // canonical text breaks the prefix checks above and visible content + // is duplicated (`existingText + incomingText`). + if (isFinalCanonicalReasoningContent(incoming)) return incomingText; + // Otherwise treat incoming as a delta and append. + return existingText + incomingText; +} +``` + +- [ ] **Step 3: Export the new helper for testing** + +Locate `_internalsForTesting` (around line 1137): + +```ts +export const _internalsForTesting = { + extractText, + extractReasoning, + accumulateContent, + accumulateReasoning, + collapseAdjacentAi, + mergeMessages, + preserveIds, + normalizeMessageType, +}; +``` + +Add `isFinalCanonicalReasoningContent`: + +```ts +export const _internalsForTesting = { + extractText, + extractReasoning, + accumulateContent, + accumulateReasoning, + collapseAdjacentAi, + mergeMessages, + preserveIds, + normalizeMessageType, + isFinalCanonicalReasoningContent, +}; +``` + +- [ ] **Step 4: Run the replay test — must now PASS** + +```bash +cd /Users/blove/repos/angular-agent-framework +npx nx run langgraph:test --skip-nx-cache 2>&1 | tail -10 +``` + +Expected: all langgraph tests pass — the previously-failing `replaying captured chunks does not duplicate visible answer text` test now passes within ±20 chars of the canonical length. Pre-existing 50 tests still pass. + +If it still fails, the captured chunks may not match the assumed shape; print one of the failing chunks (`console.log(JSON.stringify(ev.data, null, 2))` near the loop in the spec) and use that to refine the heuristic. + +- [ ] **Step 5: Lint** + +```bash +npx nx run langgraph:lint --skip-nx-cache 2>&1 | tail -5 +``` +Expected: 0 errors. + +- [ ] **Step 6: Commit fix + replay test together** + +```bash +git add libs/langgraph/src/lib/internals/stream-manager.bridge.ts \ + libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts +git commit -m "fix(langgraph): replace partial accumulator when final canonical content arrives" +``` + +--- + +## Phase 4 — Pin behaviour with helper unit tests + +### Task 4.1: `accumulateContent` unit tests (4 cases) + +**Files:** +- Modify: `libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts` + +- [ ] **Step 1: Add a new `describe` block above the captured-replay block** + +Open the spec file. Find the `describe('stream-manager.bridge — reasoning extraction', ...)` block. After it (and before the captured-replay describe added in Phase 2), insert: + +```ts +describe('stream-manager.bridge — accumulateContent', () => { + const { accumulateContent, isFinalCanonicalReasoningContent } = _internalsForTesting; + + it('returns incoming when existing is empty', () => { + expect(accumulateContent('', 'hello')).toBe('hello'); + expect(accumulateContent(undefined, 'hello')).toBe('hello'); + }); + + it('appends sequential string deltas (the legitimate delta path)', () => { + // existing="hello" + incoming="world" — neither is a prefix of the + // other, AND incoming is a plain string (no final-canonical + // reasoning+text array shape). Falls through to delta append. + expect(accumulateContent('hello', 'world')).toBe('helloworld'); + }); + + it('replaces partial accumulator when final canonical reasoning+text array arrives', () => { + // The bug-fix path: streamed accumulator differs from final + // canonical (formatting, normalization). Without the fix this + // would produce 'partial answerCANONICAL ANSWER' (1.83x); with + // the fix, the canonical text wins. + const existing = 'partial answer'; + const incoming = [ + { type: 'reasoning', summary: [{ type: 'summary_text', text: 'I thought about it.' }] }, + { type: 'text', text: 'CANONICAL ANSWER' }, + ]; + expect(accumulateContent(existing, incoming)).toBe('CANONICAL ANSWER'); + // Sanity: the heuristic agrees this is a final canonical shape. + expect(isFinalCanonicalReasoningContent(incoming)).toBe(true); + }); + + it('takes incoming when it is a strict superset of existing', () => { + expect(accumulateContent('Step 1', 'Step 1: define')).toBe('Step 1: define'); + }); +}); +``` + +- [ ] **Step 2: Run tests — all pass** + +```bash +cd /Users/blove/repos/angular-agent-framework +npx nx run langgraph:test --skip-nx-cache 2>&1 | tail -5 +``` +Expected: 4 new tests pass + the captured replay still green + pre-existing tests green. + +- [ ] **Step 3: Commit** + +```bash +git add libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts +git commit -m "test(langgraph): pin accumulateContent (delta append + final-canonical replace)" +``` + +### Task 4.2: `mergeMessages` unit tests (3 cases) + +**Files:** +- Modify: `libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts` + +- [ ] **Step 1: Add a new describe block (after the accumulateContent block)** + +```ts +describe('stream-manager.bridge — mergeMessages', () => { + const { mergeMessages } = _internalsForTesting; + + function aiMessage(opts: { id?: string; content: unknown }): unknown { + return { type: 'ai', id: opts.id, content: opts.content, _getType: () => 'ai' }; + } + function humanMessage(opts: { id?: string; content: string }): unknown { + return { type: 'human', id: opts.id, content: opts.content, _getType: () => 'human' }; + } + + it('accumulates same-id chunks into a single AI message', () => { + const c1 = aiMessage({ id: 'run-1', content: 'Hello' }); + const c2 = aiMessage({ id: 'run-1', content: 'Hello world' }); + const merged = mergeMessages([] as never, [c1] as never); + const merged2 = mergeMessages(merged, [c2] as never); + expect(merged2.length).toBe(1); + expect((merged2[0] as { content?: unknown }).content).toBe('Hello world'); + }); + + it('chunk without id falls into the trailing AI message', () => { + const initial = aiMessage({ id: 'run-1', content: 'Hello' }); + const chunk = aiMessage({ content: ' world' }); // no id + const merged = mergeMessages([initial] as never, [chunk] as never); + expect(merged.length).toBe(1); + expect((merged[0] as { content?: unknown }).content).toBe('Hello world'); + }); + + it('reasoning+text content array sets next.reasoning AND replaces partial content', () => { + const initial = aiMessage({ id: 'run-1', content: 'partial' }); + const finalCanonical = aiMessage({ + id: 'run-1', + content: [ + { type: 'reasoning', summary: [{ type: 'summary_text', text: 'thinking…' }] }, + { type: 'text', text: 'final answer' }, + ], + }); + const merged = mergeMessages([initial] as never, [finalCanonical] as never); + expect(merged.length).toBe(1); + const r = merged[0] as { content?: unknown; reasoning?: unknown }; + expect(r.content).toBe('final answer'); // bug-fix path: replaced, not appended + expect(r.reasoning).toBe('thinking…'); + }); +}); +``` + +- [ ] **Step 2: Run tests** + +```bash +npx nx run langgraph:test --skip-nx-cache 2>&1 | tail -5 +``` +Expected: 3 new tests pass. + +- [ ] **Step 3: Commit** + +```bash +git add libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts +git commit -m "test(langgraph): pin mergeMessages (id-match, trailing-ai, final-canonical)" +``` + +### Task 4.3: `collapseAdjacentAi` unit tests (2 cases — regression coverage) + +**Files:** +- Modify: `libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts` + +- [ ] **Step 1: Add a new describe block** + +```ts +describe('stream-manager.bridge — collapseAdjacentAi', () => { + const { collapseAdjacentAi } = _internalsForTesting; + + function aiMessage(opts: { id?: string; content: unknown }): unknown { + return { type: 'ai', id: opts.id, content: opts.content, _getType: () => 'ai' }; + } + + it('collapses two adjacent AI messages with identical text into one', () => { + const a = aiMessage({ id: 'a', content: 'hello world' }); + const b = aiMessage({ id: 'b', content: 'hello world' }); + const out = collapseAdjacentAi([a, b] as never); + expect(out.length).toBe(1); + expect((out[0] as { content?: unknown }).content).toBe('hello world'); + }); + + it('keeps two adjacent AI messages with non-prefix-related text', () => { + const a = aiMessage({ id: 'a', content: 'hello' }); + const b = aiMessage({ id: 'b', content: 'goodbye' }); + const out = collapseAdjacentAi([a, b] as never); + expect(out.length).toBe(2); + }); +}); +``` + +- [ ] **Step 2: Run tests** + +```bash +npx nx run langgraph:test --skip-nx-cache 2>&1 | tail -5 +``` +Expected: 2 new tests pass. + +- [ ] **Step 3: Commit** + +```bash +git add libs/langgraph/src/lib/internals/stream-manager.bridge.spec.ts +git commit -m "test(langgraph): pin collapseAdjacentAi (collapse identical, keep distinct)" +``` + +--- + +## Phase 5 — Verification + PR + +### Task 5.1: Full local sweep + +- [ ] **Step 1: Lint** + +```bash +cd /Users/blove/repos/angular-agent-framework +npx nx run langgraph:lint --skip-nx-cache 2>&1 | tail -5 +``` +Expected: 0 errors. + +- [ ] **Step 2: Test** + +```bash +npx nx run langgraph:test --skip-nx-cache 2>&1 | tail -10 +``` +Expected: 50 + 9 + 1 = 60 tests pass (existing 50 + 9 helper unit tests + 1 captured-replay). + +- [ ] **Step 3: Build (if libs/langgraph has a build target)** + +```bash +npx nx run langgraph:build --skip-nx-cache 2>&1 | tail -5 || echo "no build target — OK" +``` +Expected: succeeds (or no build target, which is fine). + +- [ ] **Step 4: Confirm commit count** + +```bash +git rev-list --count origin/main..HEAD +``` +Expected: 7 commits. + +### Task 5.2: Push + open PR + +- [ ] **Step 1: Push** + +```bash +git push -u origin claude/langgraph-streaming-content-dedup 2>&1 | tail -3 +``` + +- [ ] **Step 2: Open PR** + +```bash +gh pr create --title "fix(langgraph): replace partial accumulator when final canonical content arrives" --body "$(cat <<'EOF' +## Summary + +Eliminates the visible answer-text duplication that surfaced during the live smoke pass against examples/chat after Phase 2A landed. When an AI message's content array contains both a reasoning block (with summary items) and a text block, the visible bubble in rendered the answer text approximately twice (1.83× expected length). + +## Root cause + +`accumulateContent` in `libs/langgraph/src/lib/internals/stream-manager.bridge.ts` falls back to `existing + incoming` text concatenation when neither side is a strict prefix of the other. Streaming chunks accumulate ~83% of the answer; the final canonical message arrives with the full text but with small formatting differences (whitespace / Unicode normalization / leading reasoning block shifting which block extractText picks). The prefix check fails, the fallback fires, and the bubble ends up with both copies stitched together. + +## Fix + +Narrow heuristic that only triggers on a specific final-canonical shape: + +```ts +function isFinalCanonicalReasoningContent(content: unknown): boolean { + // true when content is an array containing BOTH a reasoning/thinking block + // AND a text/output_text block — the shape OpenAI's Responses API uses for + // final canonical messages. +} + +function accumulateContent(existing, incoming) { + // ...existing prefix-detection logic kept... + if (isFinalCanonicalReasoningContent(incoming)) return incomingText; // NEW + return existingText + incomingText; // legitimate delta-append path preserved +} +``` + +The legitimate sequential-string-delta path (existing="hello", incoming="world", neither a prefix of the other) is preserved — only the final-canonical-array shape is intercepted. Tests pin both paths explicitly. + +## Verification + +Captured a real chunk sequence from the running canonical demo (gpt-5 + reasoning.effort=high + the puzzle prompt) into a JSON fixture; replay through mergeMessages without the fix produces text length ~1.83× canonical. With the fix, length is within ±20 chars of canonical. + +### Local +- [x] nx run langgraph:lint — green +- [x] nx run langgraph:test — green (60 tests; +9 helper unit tests + 1 captured-replay test) +- [x] Captured-fixture replay produces visible text length matching server canonical + +## Test plan +- [ ] CI green +- [ ] After merge: re-run live smoke against the workspace examples/chat demo (issue #214 sweep) — puzzle prompt produces a single, non-duplicated visible answer + +Spec: `docs/superpowers/specs/2026-05-08-langgraph-streaming-content-dedup-design.md` +Plan: `docs/superpowers/plans/2026-05-08-langgraph-streaming-content-dedup.md` (lands in PR alongside this implementation, or in a separate small docs PR) + +EOF +)" +``` + +- [ ] **Step 3: Wait for CI; address failures.** + +- [ ] **Step 4: Merge once green.** + +--- + +## Definition of done + +1. PR merged. +2. CI green: `langgraph:lint`, `langgraph:test`. +3. Captured-fixture replay test passes — final visible text length matches server canonical (±20 chars). +4. The 9 helper unit tests pin both the legitimate delta-append path and the bug-fix replace path. +5. Live smoke against the workspace demo (manual, Chrome MCP if available): puzzle prompt produces a single bubble whose `chat-message[1].textContent.length` is within the range of the server's text block length — no 1.8× duplication.