Input:
*** Begin Patch
*** Add File: /home/ubuntu/transcripts/plan_v2_merged.md
+# Transcript Pipeline Plan V2 (Merged After Claude + GPT Review)
+
+## 1) Executive Summary
+- Keep authoritative transcript as code-mixed native scripts.
+- Use `expected_language_hint` from Supabase as a weak prior only.
+- Keep punctuation from audible prosody only.
+- Run aggressive boundary salvage before transcription.
+- Split outputs into 3 dataset lanes early: `asr_core`, `tts_clean`, `tts_expressive`.
+- Run Gemini online inference as the primary lane for SLA control; use Vertex Batch as overflow/backlog lane; use OpenRouter as emergency overflow with strict spend cap.
+- Ship fast validation first (V1) and run heavy validation on low-score tail (V2) without blocking full-run throughput.
+
+## 2) Merged Decisions (What Changed vs Prior Plan)
+
+### 2.1 Adopted from Claude/GPT plans
+- Remove full JSON schema from prompt body and enforce schema via API parameters only.
+- Standardize `detected_language` as codes: `hi mr te ta kn ml gu pa bn as or en`, plus `no_speech`, `other`.
+- Remove model self-confidence field from schema; rely on external validators.
+- Explicitly define `tagged` as strict derivation of `transcription` (copy + event tags only).
+- Add explicit no-speech behavior:
+  - `transcription="[NO_SPEECH]"`
+  - `tagged="[NO_SPEECH]"`
+  - `detected_language="no_speech"`
+  - `speaker={"emotion":"neutral","speaking_style":"conversational","pace":"normal","accent":""}`
+- Process work by `videoID.tar` unit (download/extract once, process all segments inside).
+- Keep transliteration/romanization as a later text-only pass, not in this audio call.
+- Add strict versioning fields: prompt/schema/trimmer/validator/model/provider versions.
+
+### 2.2 Conflicts resolved
+- Thinking level:
+  - Prior plan used `minimal`.
+  - Updated: run canary with `low` and `minimal`; lock whichever wins quality at acceptable latency/cost.
+- Batch strategy:
+  - Prior plan leaned batch-heavy.
+  - Updated: online inference primary, batch secondary overflow/backlog due async turnaround uncertainty.
+- Event tags:
+  - Prior plan included `[speech_overlap]`.
+  - Updated: remove `[speech_overlap]` from inline event tags; track overlap as a separate quality flag.
+
+## 3) Final Output Contract (Schema V2)
+
+```json
+{
+  "type": "object",
+  "properties": {
+    "transcription": { "type": "string" },
+    "tagged": { "type": "string" },
+    "speaker": {
+      "type": "object",
+      "properties": {
+        "emotion": {
+          "type": "string",
+          "enum": ["neutral", "happy", "sad", "angry", "excited", "surprised"]
+        },
+        "speaking_style": {
+          "type": "string",
+          "enum": ["conversational", "narrative", "energetic", "calm", "emphatic", "sarcastic", "formal"]
+        },
+        "pace": {
+          "type": "string",
+          "enum": ["slow", "normal", "fast"]
+        },
+        "accent": { "type": "string" }
+      },
+      "required": ["emotion", "speaking_style", "pace", "accent"],
+      "additionalProperties": false
+    },
+    "detected_language": {
+      "type": "string",
+      "enum": ["hi", "mr", "te", "ta", "kn", "ml", "gu", "pa", "bn", "as", "or", "en", "no_speech", "other"]
+    }
+  },
+  "required": ["transcription", "tagged", "speaker", "detected_language"],
+  "additionalProperties": false
+}
+```
+
+## 4) Prompt Spec V2 (Behavior Rules)
+- `EXPECTED_LANGUAGE_HINT` is a weak prior from metadata.
+- Trust audio over hint when mismatch exists.
+- `transcription` is authoritative code-mixed native script.
+- Preserve verbatim fillers, stammers, repetitions, false starts, and abrupt cutoffs.
+- Punctuation limited to `. , ? !` from audible prosody only.
+- Numbers and symbols:
+  - preserve spoken form (do not normalize to digits/symbols unless literally spoken as such).
+- `tagged` must be character-identical to `transcription` except for inserted event tags.
+- Event tags allowed set:
+  - `[laugh] [cough] [sigh] [breath] [throat_clear] [sniff] [music] [applause] [noise] [singing]`
+- Tag insertion rule: only when prominent and unambiguous; if uncertain, omit.
+
+## 5) Audio Preparation and Segmentation
+- Input source: `videoID.tar` from R2 containing `metadata.json` + `segments/*.flac`.
+- For each segment:
+  - measure start/end boundary quality with short-window energy + VAD.
+  - trim to nearest usable low-energy valley if boundary is clipped.
+  - if unsalvageable hard-cut both sides, drop from TTS lanes; keep for ASR only if later quality score passes.
+- Add `150ms` silence padding on both ends after trim.
+- Duration policy:
+  - global reject: `< 2.0s`
+  - target window: `2.0s–10.0s`
+  - extension for split search: up to `15.0s`
+
+## 6) Data Lanes and Acceptance Logic
+- `asr_core`:
+  - high-confidence transcript, may include some clipped/partial segments if quality score passes.
+- `tts_clean`:
+  - strict boundaries, no overlap suspicion, no clipped edges, no no-speech.
+- `tts_expressive`:
+  - strict boundaries plus approved event-tag presence.
+
+## 7) Validation Plan
+
+### V1 (all segments, cheap, non-blocking)
+- schema validity and parse success
+- `tagged`-derivation integrity check
+- special token density (`[UNK]`, `[INAUDIBLE]`, `[NO_SPEECH]`)
+- language mismatch flag (hint vs detected)
+- duration vs text-length plausibility
+- script plausibility checks
+- event-tag count sanity
+- overlap suspicion signal
+- provisional quality score
+
+### V2 (low-score tail only)
+- consensus ASR comparison with Indic multilingual ASR backbone
+- optional forced-alignment confidence scoring
+- optional premium-model recheck for bottom tail
+- final quality score and retry/quarantine action
+
+## 8) Throughput and Provider Routing
+- Target: 80M segments in 100 hours.
+- Primary lane: Gemini online inference (AI Studio/Vertex online) with strict token-bucket controls.
+- Secondary lane: Vertex Batch for backlog/overflow.
+- Tertiary lane: OpenRouter overflow only when ETA risk breaches target and Google lanes are saturated.
+- OpenRouter policy: strict budget cap and explicit routing requirements.
+
+## 9) Storage Contract (Per Segment)
+- identity: `video_id`, `segment_id`, `speaker_id`
+- offsets: original + trimmed boundaries
+- audio prep metadata: boundary flags, padding, salvage status
+- inference metadata: model/provider/prompt/schema versions and request settings
+- output fields: transcription/tagged/speaker/detected_language
+- validation metrics: provisional/final scores + flags
+- dataset lane assignment: `asr_core` | `tts_clean` | `tts_expressive` | `quarantine`
+
+## 10) Rollout Phases
+- Phase 0: lock prompt/schema/trimmer specs and run 10k stratified canary.
+- Phase 1: choose thinking level (`low` vs `minimal`) from canary quality/cost results.
+- Phase 2: run full throughput with V1 validation and adaptive routing.
+- Phase 3: process low-score tail with V2 validators and targeted retries.
+- Phase 4: publish lane-specific manifests for training pipelines.
+
+## 11) Open Decisions (Require User Confirmation)
+- Event tag set: keep `[singing]` or replace with another conversational tag.
+- Number rendering policy: fully spoken form only vs mixed spoken+digit exceptions.
+- Premium recheck policy for low-score tail: Gemini 3.1 Pro vs no premium recheck.
*** End Patch


Output: {"output":"Success. Updated the following files:\nA /home/ubuntu/transcripts/plan_v2_merged.md\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


# Collaboration Mode: Default

You are now in Default mode. Any previous instructions for other modes (e.g. Plan mode) are no longer active.

Your active mode changes only when new developer instructions with a different `<collaboration_mode>...</collaboration_mode>` change it; user requests or tool descriptions do not change mode by themselves. Known mode names are Default and Plan.

## request_user_input availability

The `request_user_input` tool is unavailable in Default mode. If you call it while in Default mode, it will return an error.

If a decision is necessary and cannot be discovered from local context, ask the user directly. However, in Default mode you should strongly prefer executing the user's request rather than stopping to ask questions.

Summary: auto

## Skills
A skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.
### Available skills
- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /home/ubuntu/.codex/skills/.system/skill-creator/SKILL.md)
- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /home/ubuntu/.codex/skills/.system/skill-installer/SKILL.md)
### How to use skills
- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.
- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.
- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.
- How to use a skill (progressive disclosure):
  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.
  2) When `SKILL.md` references relative paths (e.g., `scripts/foo.py`), resolve them relative to the skill directory listed above first, and only consider other paths if needed.
  3) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.
  4) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.
  5) If `assets/` or templates exist, reuse them instead of recreating from scratch.
- Coordination and sequencing:
  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.
  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.
- Context hygiene:
  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.
  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.
  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.
- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.


**Planning detailed file references**


nl -ba /home/ubuntu/transcripts/plan_v2_merged.md | sed -n '1,260p'


Output:
Chunk ID: d4e3cc
Wall time: 0.0512 seconds
Process exited with code 0
Original token count: 2056
Output:
     1	# Transcript Pipeline Plan V2 (Merged After Claude + GPT Review)
     2
     3	## 1) Executive Summary
     4	- Keep authoritative transcript as code-mixed native scripts.
     5	- Use `expected_language_hint` from Supabase as a weak prior only.
     6	- Keep punctuation from audible prosody only.
     7	- Run aggressive boundary salvage before transcription.
     8	- Split outputs into 3 dataset lanes early: `asr_core`, `tts_clean`, `tts_expressive`.
     9	- Run Gemini online inference as the primary lane for SLA control; use Vertex Batch as overflow/backlog lane; use OpenRouter as emergency overflow with strict spend cap.
    10	- Ship fast validation first (V1) and run heavy validation on low-score tail (V2) without blocking full-run throughput.
    11
    12	## 2) Merged Decisions (What Changed vs Prior Plan)
    13
    14	### 2.1 Adopted from Claude/GPT plans
    15	- Remove full JSON schema from prompt body and enforce schema via API parameters only.
    16	- Standardize `detected_language` as codes: `hi mr te ta kn ml gu pa bn as or en`, plus `no_speech`, `other`.
    17	- Remove model self-confidence field from schema; rely on external validators.
    18	- Explicitly define `tagged` as strict derivation of `transcription` (copy + event tags only).
    19	- Add explicit no-speech behavior:
    20	  - `transcription="[NO_SPEECH]"`
    21	  - `tagged="[NO_SPEECH]"`
    22	  - `detected_language="no_speech"`
    23	  - `speaker={"emotion":"neutral","speaking_style":"conversational","pace":"normal","accent":""}`
    24	- Process work by `videoID.tar` unit (download/extract once, process all segments inside).
    25	- Keep transliteration/romanization as a later text-only pass, not in this audio call.
    26	- Add strict versioning fields: prompt/schema/trimmer/validator/model/provider versions.
    27
    28	### 2.2 Conflicts resolved
    29	- Thinking level:
    30	  - Prior plan used `minimal`.
    31	  - Updated: run canary with `low` and `minimal`; lock whichever wins quality at acceptable latency/cost.
    32	- Batch strategy:
    33	  - Prior plan leaned batch-heavy.
    34	  - Updated: online inference primary, batch secondary overflow/backlog due async turnaround uncertainty.
    35	- Event tags:
    36	  - Prior plan included `[speech_overlap]`.
    37	  - Updated: remove `[speech_overlap]` from inline event tags; track overlap as a separate quality flag.
    38
    39	## 3) Final Output Contract (Schema V2)
    40
    41	```json
    42	{
    43	  "type": "object",
    44	  "properties": {
    45	    "transcription": { "type": "string" },
    46	    "tagged": { "type": "string" },
    47	    "speaker": {
    48	      "type": "object",
    49	      "properties": {
    50	        "emotion": {
    51	          "type": "string",
    52	          "enum": ["neutral", "happy", "sad", "angry", "excited", "surprised"]
    53	        },
    54	        "speaking_style": {
    55	          "type": "string",
    56	          "enum": ["conversational", "narrative", "energetic", "calm", "emphatic", "sarcastic", "formal"]
    57	        },
    58	        "pace": {
    59	          "type": "string",
    60	          "enum": ["slow", "normal", "fast"]
    61	        },
    62	        "accent": { "type": "string" }
    63	      },
    64	      "required": ["emotion", "speaking_style", "pace", "accent"],
    65	      "additionalProperties": false
    66	    },
    67	    "detected_language": {
    68	      "type": "string",
    69	      "enum": ["hi", "mr", "te", "ta", "kn", "ml", "gu", "pa", "bn", "as", "or", "en", "no_speech", "other"]
    70	    }
    71	  },
    72	  "required": ["transcription", "tagged", "speaker", "detected_language"],
    73	  "additionalProperties": false
    74	}
    75	```
    76
    77	## 4) Prompt Spec V2 (Behavior Rules)
    78	- `EXPECTED_LANGUAGE_HINT` is a weak prior from metadata.
    79	- Trust audio over hint when mismatch exists.
    80	- `transcription` is authoritative code-mixed native script.
    81	- Preserve verbatim fillers, stammers, repetitions, false starts, and abrupt cutoffs.
    82	- Punctuation limited to `. , ? !` from audible prosody only.
    83	- Numbers and symbols:
    84	  - preserve spoken form (do not normalize to digits/symbols unless literally spoken as such).
    85	- `tagged` must be character-identical to `transcription` except for inserted event tags.
    86	- Event tags allowed set:
    87	  - `[laugh] [cough] [sigh] [breath] [throat_clear] [sniff] [music] [applause] [noise] [singing]`
    88	- Tag insertion rule: only when prominent and unambiguous; if uncertain, omit.
    89
    90	## 5) Audio Preparation and Segmentation
    91	- Input source: `videoID.tar` from R2 containing `metadata.json` + `segments/*.flac`.
    92	- For each segment:
    93	  - measure start/end boundary quality with short-window energy + VAD.
    94	  - trim to nearest usable low-energy valley if boundary is clipped.
    95	  - if unsalvageable hard-cut both sides, drop from TTS lanes; keep for ASR only if later quality score passes.
    96	- Add `150ms` silence padding on both ends after trim.
    97	- Duration policy:
    98	  - global reject: `< 2.0s`
    99	  - target window: `2.0s–10.0s`
   100	  - extension for split search: up to `15.0s`
   101
   102	## 6) Data Lanes and Acceptance Logic
   103	- `asr_core`:
   104	  - high-confidence transcript, may include some clipped/partial segments if quality score passes.
   105	- `tts_clean`:
   106	  - strict boundaries, no overlap suspicion, no clipped edges, no no-speech.
   107	- `tts_expressive`:
   108	  - strict boundaries plus approved event-tag presence.
   109
   110	## 7) Validation Plan
   111
   112	### V1 (all segments, cheap, non-blocking)
   113	- schema validity and parse success
   114	- `tagged`-derivation integrity check
   115	- special token density (`[UNK]`, `[INAUDIBLE]`, `[NO_SPEECH]`)
   116	- language mismatch flag (hint vs detected)
   117	- duration vs text-length plausibility
   118	- script plausibility checks
   119	- event-tag count sanity
   120	- overlap suspicion signal
   121	- provisional quality score
   122
   123	### V2 (low-score tail only)
   124	- consensus ASR comparison with Indic multilingual ASR backbone
   125	- optional forced-alignment confidence scoring
   126	- optional premium-model recheck for bottom tail
   127	- final quality score and retry/quarantine action
   128
   129	## 8) Throughput and Provider Routing
   130	- Target: 80M segments in 100 hours.
   131	- Primary lane: Gemini online inference (AI Studio/Vertex online) with strict token-bucket controls.
   132	- Secondary lane: Vertex Batch for backlog/overflow.
   133	- Tertiary lane: OpenRouter overflow only when ETA risk breaches target and Google lanes are saturated.
   134	- OpenRouter policy: strict budget cap and explicit routing requirements.
   135
   136	## 9) Storage Contract (Per Segment)
   137	- identity: `video_id`, `segment_id`, `speaker_id`
   138	- offsets: original + trimmed boundaries
   139	- audio prep metadata: boundary flags, padding, salvage status
   140	- inference metadata: model/provider/prompt/schema versions and request settings
   141	- output fields: transcription/tagged/speaker/detected_language
   142	- validation metrics: provisional/final scores + flags
   143	- dataset lane assignment: `asr_core` | `tts_clean` | `tts_expressive` | `quarantine`
   144
   145	## 10) Rollout Phases
   146	- Phase 0: lock prompt/schema/trimmer specs and run 10k stratified canary.
   147	- Phase 1: choose thinking level (`low` vs `minimal`) from canary quality/cost results.
   148	- Phase 2: run full throughput with V1 validation and adaptive routing.
   149	- Phase 3: process low-score tail with V2 validators and targeted retries.
   150	- Phase 4: publish lane-specific manifests for training pipelines.
   151
   152	## 11) Open Decisions (Require User Confirmation)
   153	- Event tag set: keep `[singing]` or replace with another conversational tag.
   154	- Number rendering policy: fully spoken form only vs mixed spoken+digit exceptions.
   155	- Premium recheck policy for low-score tail: Gemini 3.1 Pro vs no premium recheck.


Summary: auto


**Preparing final response outline**


Yes, I have access to my prior plan in this chat, and I compared both files line-by-line.

I also created an updated merged plan here: [plan_v2_merged.md](/home/ubuntu/transcripts/plan_v2_merged.md).

**What I adopted from Claude/GPT**
1. Remove embedded schema from prompt and enforce only via API schema params ([gpt_plan.md](/home/ubuntu/transcripts/gpt_plan.md):43-47,274-296).
2. Make language metadata a weak hint only, not a hard target ([claude_plan.md](/home/ubuntu/transcripts/claude_plan.md):25-35, [gpt_plan.md](/home/ubuntu/transcripts/gpt_plan.md):10-12).
3. Make `tagged` a strict derivation of `transcription` ([claude_plan.md](/home/ubuntu/transcripts/claude_plan.md):224-229, [gpt_plan.md](/home/ubuntu/transcripts/gpt_plan.md):131-137).
4. Add explicit 3-lane dataset split: `asr_core`, `tts_clean`, `tts_expressive` ([gpt_plan.md](/home/ubuntu/transcripts/gpt_plan.md):19-25,185-199).
5. Add explicit no-speech contract and stronger versioning/metadata persistence ([gpt_plan.md](/home/ubuntu/transcripts/gpt_plan.md):276-283,349-383).

**New useful points they added (not strong in my previous plan)**
1. Process by `videoID.tar` unit (download once, process all segments) ([gpt_plan.md](/home/ubuntu/transcripts/gpt_plan.md):210-216,417-424).
2. Keep romanization/transliteration strictly as later text-only pass ([gpt_plan.md](/home/ubuntu/transcripts/gpt_plan.md):119-125).
3. Explicitly avoid model self-confidence fields; use external validation scores ([gpt_plan.md](/home/ubuntu/transcripts/gpt_plan.md):103-105).

**Conflicts and my final stance**
1. `thinking_level`:
   - My old plan: `minimal`.
   - GPT: start with `low`, canary `minimal` ([gpt_plan.md](/home/ubuntu/transcripts/gpt_plan.md):55-60,469-471).
   - Final: canary both; lock winner by quality/cost.
2. Batch priority:
   - My old plan leaned more on batch bulk.
   - GPT argues online should be primary due async batch turnaround ([gpt_plan.md](/home/ubuntu/transcripts/gpt_plan.md):29-31,427-433).
   - Final: online primary for SLA control, batch secondary overflow/backlog.
3. Audio token rate:
   - Claude uses ~25 tok/s ([claude_plan.md](/home/ubuntu/transcripts/claude_plan.md):250-251), GPT uses 32 tok/s ([gpt_plan.md](/home/ubuntu/transcripts/gpt_plan.md):395-396).
   - Final: use 32 tok/s for capacity planning.
4. Event tag taxonomy:
   - Claude removes singing, adds sniff/throat_clear ([claude_plan.md](/home/ubuntu/transcripts/claude_plan.md):74-90).
   - GPT keeps singing and clears_throat ([gpt_plan.md](/home/ubuntu/transcripts/gpt_plan.md):139-149).
   - Final merged plan keeps 10 tags and removes `[speech_overlap]` from inline tags; overlap tracked as a separate quality flag.

**What I changed in the plan**
1. Revised schema/behavior/routing/validation is in [plan_v2_merged.md](/home/ubuntu/transcripts/plan_v2_merged.md).
2. Open decision points are explicitly listed at [plan_v2_merged.md:152](/home/ubuntu/transcripts/plan_v2_merged.md:152).

I need your decisions on 3 items before we finalize and start implementation:
1. Event tags: keep `[singing]` in the fixed set, or replace it?
2. Numbers: strict spoken-form only, or allow digit normalization in some cases?
3. Low-score tail review: use Gemini 3.1 Pro for premium recheck, or skip premium recheck entirely?