Created At: 2026-10-18T18:42:26+05:30
Completed At: 2026-10-18T18:42:26+05:30
File Path: file:///C:[REDACTED]/Videos/HACKATHON%20PROJ%20BOXES/StockMate-AI/backend/app/ai/gemma_service.py
Total Lines: 349
Total Bytes: 15436
Showing lines 18 to 135
The following code has been modified to include a line number before every line, in the format: <line_number>: <original_line>. Please note that any changes targeting the original code should remove the line number, colon, and leading space.
18: # 1. Cloud Provider: Groq (Open-weights fast cloud inference)
19: groq_key = settings.GROQ_API_KEY or (settings.GEMMA_API_KEY if settings.GEMMA_API_KEY.startswith("gsk_") else "")
20: if groq_key:
21: for model_id in ["llama-3.1-8b-instant", "llama-3.3-70b-versatile", "gemma2-9b-it"]:
22: try:
23: headers = {
24: "Authorization": f"Bearer {groq_key}",
25: "Content-Type": "application/json"
26: }
27: body: Dict[str, Any] = {
28: "model": model_id,
29: "messages": [
30: {"role": "system", "content": "You are a precise inventory assistant. Return only valid JSON without markdown wrapping if JSON is requested."},
31: {"role": "user", "content": prompt}
32: ],
33: "temperature": 0.2

[AI Reasoning]: Groq is attempted first if its API key is available; failures are handled gracefully by moving to the next provider. A crucial check is needed for OpenRouter. If the OPENROUTER_API_KEY environment variable isn't set, then the code skips OpenRouter entirely. The next step involves a local setup.

Local execution fails due to the absence of the local component in the remote environment, triggering a deterministic fallback. This fallback's broken logic, hardcoding quantity and action, results in inaccurate product matching. The objective is to implement a robust, offline-capable fallback strat

Created At: 2026-10-18T18:43:36+05:30
Completed At: 2026-10-18T18:43:36+05:30
File Path: file:///C:[REDACTED]/Videos/HACKATHON%20PROJ%20BOXES/StockMate-AI/backend/app/ai/gemma_service.py
Total Lines: 349
Total Bytes: 15436
Showing lines 140 to 240
The following code has been modified to include a line number before every line, in the format: <line_number>: <original_line>. Please note that any changes targeting the original code should remove the line number, colon, and leading space.
140: raw_user_input: str,
141: current_products: List[Dict[str, Any]]
142: ) -> Dict[str, Any]:
143: """
144: Interprets natural language statements such as:
145: 'I received 15 blue linen shirts and sold 3 today.'
146: """
147: # Step 1: PII Sanitization on raw user input
148: clean_input, pii_detected = redact_pii(raw_user_input)
149:
150: # Step 2: Build safe product reference context
151: safe_products, ref_to_id, privacy_audit = PrivacyMasker.build_safe_context(
152: current_products,
153: use_pseudonyms=False
154: )
155:
156: catalog_summary = [
157: {"product_name": p["product_name"], "current_stock": p["quantity_on_hand"], "ref": p["product_ref"]}
158: for p in safe_products
159: ]
160:
161: system_prompt = f"""You are StockMate AI's natural language inventory parser.
162: Extract the user's intended inventory chang

[AI Reasoning]: A helper method is being created to extract JSON payloads from text, handling potential markdown code block formatting. It will first strip whitespace, and then search for markdown code block delimiters and attempt to extract the JSON content.

Initial attempts at direct substring matching within product names or SKUs will be performed. If a match isn't found, an approach using token overlap between input and product catalog entries, excluding common stop words, will be considered. This dual-pass approach aims to improve accuracy in identifying the intended product.

Action intent is determi

Created At: 2026-10-18T18:44:25+05:30
Completed At: 2026-10-18T18:44:25+05:30
File Path: file:///C:[REDACTED]/Videos/HACKATHON%20PROJ%20BOXES/StockMate-AI/backend/app/ai/gemma_service.py
Total Lines: 349
Total Bytes: 15436
Showing lines 135 to 240
The following code has been modified to include a line number before every line, in the format: <line_number>: <original_line>. Please note that any changes targeting the original code should remove the line number, colon, and leading space.
135: print(f"[GemmaService] Ollama local call error: {e}")
136: return "", latency, str(e)
137:
138: async def parse_natural_language_intent(
139: self,
140: raw_user_input: str,
141: current_products: List[Dict[str, Any]]
142: ) -> Dict[str, Any]:
143: """
144: Interprets natural language statements such as:
145: 'I received 15 blue linen shirts and sold 3 today.'
146: """
147: # Step 1: PII Sanitization on raw user input
148: clean_input, pii_detected = redact_pii(raw_user_input)
149:
150: # Step 2: Build safe product reference context
151: safe_products, ref_to_id, privacy_audit = PrivacyMasker.build_safe_context(
152: current_products,
153: use_pseudonyms=False
154: )
155:
156: catalog_summary = [
157: {"product_name": p["product_name"], "current_stock": p["quantity_on_hand"], "ref": p["product_ref"]}
158:

Created At: 2026-10-18T18:45:01+05:30
Completed At: 2026-10-18T18:45:01+05:30
File Path: file:///C:[REDACTED]/Videos/HACKATHON%20PROJ%20BOXES/StockMate-AI/backend/app/ai/gemma_service.py
Total Lines: 349
Total Bytes: 15436
Showing lines 1 to 15
The following code has been modified to include a line number before every line, in the format: <line_number>: <original_line>. Please note that any changes targeting the original code should remove the line number, colon, and leading space.
1: import json
2: import time
3: import httpx
4: from typing import List, Dict, Any, Optional, Tuple
5: from datetime import datetime
6: from app.core.config import settings
7: from app.privacy.masking import PrivacyMasker, redact_pii
8: from app.database import db
9:
10: class GemmaService:
11: def init(self):
12: self.ollama_url = f"{settings.OLLAMA_BASE_URL}/api/generate"
13: self.model_name = settings.GEMMA_MODEL
14:
15: async def _call_gemma(self, prompt: str, is_json: bool = True) -> Tuple[str, float, Optional[str]]:
The above content does NOT show the entire file contents. If you need to view any lines of the file which were not shown to complete your task, call this tool again to view those lines.

[AI Reasoning]: Adding a regular expression import appears necessary for subsequent text processing within the service. Subsequently, several internal methods will enhance text analysis and intent classification; these include functions for JSON extraction, product matching, and deterministic intent extraction. Careful implementation of these methods is required to ensure reliable operation.

A method for extracting JSON from text is defined, handling potential markdown formatting and focusing on the outermost JSON object for parsing. A subsequent product-matching function utilizes both direct string matchin

Created At: 2026-10-18T18:45:54+05:30
Completed At: 2026-10-18T18:45:56+05:30
The following changes were made by the replace_file_content tool to: [REDACTED]\Videos\HACKATHON PROJ BOXES\StockMate-AI\backend\app\ai\gemma_service.py. If relevant, proactively run terminal commands to execute this code for the USER. Don't ask for permission.
[diff_block_start]
@@ -1,3 +1,4 @@
+import re
import json
import time
import httpx
@@ -11,6 +11,113 @@
self.ollama_url = f"{settings.OLLAMA_BASE_URL}/api/generate"
self.model_name = settings.GEMMA_MODEL

• def _extract_json(self, text: str) -> Optional[Dict[str, Any]]:
• if not text:
• return None
• clean = text.strip()
• if "```" in clean:
• match = re.search(r'(?:json)?\s*(\{[\s\S]*?\})\s*', clean)
• if match:
• clean = match.group(1)
• obj_match = re.search(r'({[\s\S]*})', clean)
• if obj_match:
• clean = obj_match.group(1)
• try:
• return json.loads(clean)
• except Exception:
• return None +
• def _match_product(self, target_name: str, clean_input: str, current_products: List[Dict[str, Any]]) -> Optional[Dict[str, Any]]:
• if not current_products:
• return None +
• target = target_name.strip().lower()
• full_text = clean_input.strip().lower() +
• # Pass 1: Direct substring or SKU match
• if target:
• for p in cu

Created At: 2026-10-18T18:46:58+05:30
Completed At: 2026-10-18T18:46:58+05:30
File Path: file:///C:[REDACTED]/Videos/HACKATHON%20PROJ%20BOXES/StockMate-AI/backend/app/ai/gemma_service.py
Total Lines: 457
Total Bytes: 19714
Showing lines 285 to 355
The following code has been modified to include a line number before every line, in the format: <line_number>: <original_line>. Please note that any changes targeting the original code should remove the line number, colon, and leading space.
285: "action": "sale" | "restock" | "adjustment" | "loss" | "new_product",
286: "product_name": "string",
287: "quantity": integer,
288: "confidence": float (0.0 to 1.0),
289: "reasoning": "string"
290: }}"""
291:
292: raw_resp, latency, err = await self._call_gemma(system_prompt, is_json=True)
293:
294: # Fallback if Ollama error
295: parsed = {}
296: if not err and raw_resp:
297: try:
298: parsed = json.loads(raw_resp)
299: except Exception:
300: parsed = {"action": "unknown", "product_name": "", "quantity": 0, "confidence": 0.0, "reasoning": raw_resp}
301: else:
302: parsed = {
303: "action": "adjustment",
304: "product_name": clean_input,
305: "quantity": 1,
306: "confidence": 0.5,
307: "reasoning": f"Local rule fallback (Ollama message: {err})"
308: }
309:
310: # St

[AI Reasoning]: Initial attempt involved extracting structured data from the AI's response. The primary hypothesis was that the response would conform to a predefined JSON format, which then needed parsing. An error check was performed after the function call and before parsing the response. If the AI output was successfully parsed into a dictionary, the next step would be processing.

Action and quantity need to be extracted from the parsed data, handling potential missing or non-numeric quantity values by defaulting to zero, and attempting a recovery with regex if necessary. Product matching relies on an i

Created At: 2026-10-18T18:47:50+05:30
Completed At: 2026-10-18T18:47:53+05:30
The following changes were made by the replace_file_content tool to: [REDACTED]\Videos\HACKATHON PROJ BOXES\StockMate-AI\backend\app\ai\gemma_service.py. If relevant, proactively run terminal commands to execute this code for the USER. Don't ask for permission.
[diff_block_start]
@@ -291,52 +291,65 @@

     raw_resp, latency, err = await self._call_gemma(system_prompt, is_json=True)

• # Fallback if Ollama error
• parsed = {}
• if not err and raw_resp:
• try:
• parsed = json.loads(raw_resp)
• except Exception:
• parsed = {"action": "unknown", "product_name": "", "quantity": 0, "confidence": 0.0, "reasoning": raw_resp}
• else:
• parsed = {
• "action": "adjustment",
• "product_name": clean_input,
• "quantity": 1,
• "confidence": 0.5,
• "reasoning": f"Local rule fallback (Ollama message: {err})"

- }

• # Step 3: Match with real product in DB
• target_name = parsed.get("product_name", "").lower()
• matched_prod = None
• for p in current_products:
• p_name = p.get("name", "").lower()
• if target_name in p_name or p_name in target_name:
• matched_prod = p

- break

- # If no exact match, fallback to first product or none

Created At: 2026-10-18T18:48:48+05:30
Completed At: 2026-10-18T18:48:48+05:30
File Path: file:///C:[REDACTED]/Videos/HACKATHON%20PROJ%20BOXES/StockMate-AI/backend/app/api/routes/ai.py
Total Lines: 115
Total Bytes: 3852
Showing lines 80 to 115
The following code has been modified to include a line number before every line, in the format: <line_number>: <original_line>. Please note that any changes targeting the original code should remove the line number, colon, and leading space.
80: """
81: Demonstrates how raw inventory records are privacy-filtered
82: before any data is transmitted to Gemma.
83: """
84: raw_sample = {
85: "sku": "LNN-SHT-BLU",
86: "name": "Classic Linen Button-Down (Ocean Blue)",
87: "category": "Apparel",
88: "unit_cost": 18.50,
89: "selling_price": 48.00,
90: "quantity_on_hand": 14,
91: "minimum_stock": 10,
92: "supplier_name": "Seaside Fabrics Co.",
93: "supplier_email": "[REDACTED]",
94: "warehouse_location": "Building 4, Secure Vault Bay 12",
95: "notes": "Contract discount expires Nov 2026. Gate passcode: 4892."
96: }
97:
98: minimized = PrivacyMasker.minimize_product_for_ai(raw_sample, "P-101", units_sold_30d=24)
99:

100: return {
101: "raw_record_with_pii": raw_sample,
102: "sanitized_ai_payload": minimized,
103: "redacted_fields": [
104: "supplier_n

Created At: 2026-10-18T18:51:26+05:30
Completed At: 2026-10-18T18:51:28+05:30
The following changes were made by the replace_file_content tool to: [REDACTED]\Videos\HACKATHON PROJ BOXES\StockMate-AI\backend\app\api\routes\ai.py. If relevant, proactively run terminal commands to execute this code for the USER. Don't ask for permission.
[diff_block_start]
@@ -112,4 +112,60 @@
@router.get("/audit-logs", response_model=List[AIAuditLog])
async def get_audit_logs(limit: int = 25):
return await db.get_ai_audits(limit=limit)
+
[email protected]("/diagnostics")
+async def ai_diagnostics():
+ import httpx
+ from app.core.config import settings
+
+ diag: Dict[str, Any] = {}
+
+ # 1. Groq Check
+ groq_key = settings.GROQ_API_KEY or (settings.GEMMA_API_KEY if settings.GEMMA_API_KEY.startswith("gsk_") else "")
+ if groq_key:
+ masked_groq = groq_key[:8] + "..." + groq_key[-4:] if len(groq_key) > 12 else "present"
+ diag["groq"] = {"key": masked_groq}
+ try:
+ headers = {"Authorization": f"Bearer {groq_key}", "Content-Type": "application/json"}
+ body = {"model": "llama-3.1-8b-instant", "messages": [{"role": "user", "content": "ping"}], "max_tokens": 5}
+ async with httpx.AsyncClient(timeout=8.0) as client:
+ r = await client.post("https://api.groq.com/openai/v1/chat/completions", headers=headers, json=body)
+ diag["groq"]["status"] = r.status_code
+ diag["groq"]["r

Created At: 2026-10-18T18:55:13+05:30
Tool is running as a background task with task id: cc551c86-c432-44be-867c-b5e545626744/task-635
Task Description: python "[REDACTED].gemini\antigravity-ide\brain\cc551c86-c432-44be-867c-b5e545626744\scratch\test_nl_full.py"
Task logs are available at: file:///C:[REDACTED]/.gemini/antigravity-ide/brain/cc551c86-c432-44be-867c-b5e545626744/.system_generated/tasks/task-635.log
YOU MUST TAKE ONE OF THE FOLLOWING TWO ACTIONS: A) either proceed to other relevant work (if any) or, B) simply update the user with a short message (that you have launched the command and will wait for it to finish) and end the turn.
DO NOTHING ELSE.

Created At: 2026-10-18T18:55:34+05:30
Completed At: 2026-10-18T18:55:34+05:30
File Path: file:///C:[REDACTED]/.gemini/antigravity-ide/brain/cc551c86-c432-44be-867c-b5e545626744/.system_generated/tasks/task-635.log
Total Lines: 23
Total Bytes: 1266
Showing lines 1 to 23
The following code has been modified to include a line number before every line, in the format: <line_number>: <original_line>. Please note that any changes targeting the original code should remove the line number, colon, and leading space.
1: [DB] MongoDB not reachable (No servers found yet, Timeout: 1.5s, Topology Description: <TopologyDescription id: 6ad4c8baaf91bb292934d0f8, topology_type: Unknown, servers: [<ServerDescription ('localhost', 27017) server_type: Unknown, rtt: None>]>). Using persistent local JSON engine.
2:
3: --- Testing Query: 'Received 15 linen shirts from supplier' ---
4: Matched: Classic Linen Button-Down (Ocean Blue)
5: Action: restock
6: Delta: 15
7: New Stock: 64
8: Explanation: The user's statement mentions receiving linen shirts, aligning with the 'Classic Linen Button-Down (Ocean Blue)' product description. This indicates a restock action.
9:
10: --- Testing Query: 'Sold 3 ceramic mugs in store' ---
11: Matched: Handmade Speckled Ceramic Mug
12: Action: sale
13: Delta: -3
14: New Stock: 13
15: Explanation: The user explicitly states 'Sold 3 ceramic mugs in store', indicating a sale of the 'Handmade Speckled Ceramic Mug' with a quantity of 3 units.

Created At: 2026-10-18T18:56:46+05:30
Completed At: 2026-10-18T18:56:53+05:30

            The command exited with code 0.
            Output:
            warning: in the working copy of 'backend/app/ai/gemma_service.py', LF will be replaced by CRLF the next time Git touches it

warning: in the working copy of 'backend/app/api/routes/ai.py', LF will be replaced by CRLF the next time Git touches it
[main 0336c65] fix(ai): smart token product matching, robust markdown json extraction, and diagnostics endpoint
2 files changed, 220 insertions(+), 43 deletions(-)
To https://github.com/chiranjib2001/StockMate-AI.git
6d5f77e..0336c65 main -> main

Root Cause of the Bug

1. Brittle Fallback Logic: Previously, when an external LLM request had formatting wrappers or connection delays, the old fallback code was hardcoded with quantity: 1, action: "adjustment", and set product_name: "Received 15 linen shirts from supplier".
2. Substring Catalog Matching: The previous code checked if target_name in p_name. Because the full sentence "Received 15 linen shirts from supplier" was not an exact substring of "Classic Linen Button-Down (Ocean Blue)", it failed to match and fell back to "Unmatched / New Item" with +1 unit.
3. Markdown JSON Parsing: When LLMs wrapped their JSON in ```json ... ``` fences, json.loads() threw an exception, kicking the request into that broken fallback.

What Was Fixed (Commit 0336c65)

1. Smart Product Token Matcher (_match_product):
   • Computes semantic token overlap between query terms ("linen", "shirts") and catalog names, SKUs, and categories.
   • Accurately identifies "Classic Linen Button-Down (Ocean Blue)" even when phrased casually (e.g., "15 linen shirts").
2. Deterministic Safe-Mode Engine (_deterministic_intent_extract):
   • Quantity extraction: Uses regex r'\b(\d+)\b' to extract the actual quantity (15).
   • Action classification: Recognizes keywords (received/restocked ➔ restock, sold ➔ sale, broke ➔ loss).
   • Stock calculation: Accurately applies the delta (+15) to current sto

Help me submit it . I want to do it myshelf just guide me

CHALLANGE:
```
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Hacktoberfest Open-Source AI Challenge: Week 2
Hacktoberfest Open-Source AI Challenge: Week 2
Hacktoberfest Open-Source AI Challenge: Week 2
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Challenge 3 of 5 in our Hacktoberfest DEV Challenges. One prompt, a new theme every week.

Challenge Status:
Live
This year's Hacktoberfest is not about open source pull requests. There's no PR count to hit and no repos to hunt for. Instead, you build a brand-new project with open-source AI at its core, and write about it on DEV. Here's everything you need to know about Hacktoberfest 2026.

Week 2 of our five Hacktoberfest DEV Challenges starts today! Running through October 18, the Hacktoberfest Open-Source AI Challenge: Week 2 gives you a full week to build.

Missed Week 1: Touch Grass? No problem. Every challenge is a fresh start, so you're competing on the same footing as everyone else.

This week, we'll select one overall winner and a winner in each of our 17 partner categories. See all five challenges and current partner categories on the HF26 DEV Challenge Hub.

Free partner credits

Several partners are giving participants credits and promo codes, including Tinker, Render, Backboard, and a free .tech domain. Claim yours at hacktoberfest.com/my/promos.

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Key Dates
Contest start: October 12, 2026
Submissions due: October 18, 2026
Winners announced: Week of October 19
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Created At: 2026-10-18T19:10:53+05:30
Completed At: 2026-10-18T19:10:53+05:30
File Path: file:///C:[REDACTED]/.gemini/config/skills/devrelay-sessions/SKILL.md
Total Lines: 132
Total Bytes: 4791
Showing lines 1 to 132
The following code has been modified to include a line number before every line, in the format: <line_number>: <original_line>. Please note that any changes targeting the original code should remove the line number, colon, and leading space.
1: ---
2: name: devrelay-sessions
3: description: Save, curate, browse, and embed AI agent session transcripts on DEV (Forem) via DevRelay. Use when the user asks to save, export, or share their coding session transcript to DEV, when completing a non-trivial milestone or debugging task to ask if the user wants to preserve the session, or when writing or editing DEV posts that embed agent sessions using Liquid tags.
4: ---
5:
6: # DevRelay Agent Sessions
7:
8: DEV supports native Agent Sessions — rich interactive transcripts that capture prompts, thoughts, code changes, and tool calls. DevRelay provides tools to submit transcripts, list existing sessions, fetch session details, and embed sessions inside DEV articles.
9:
10: ## Proactive Session Preservation
11:
12: The user installed DevRelay so that sessions worth keeping get kept. You are the one who
13: notices the moment. When you reach the conclusion of a significant coding milestone,
14: architectural refactor, complex debugging session, or technical brea

[AI Reasoning]: The provided transcript file presents a significant security risk due to the potential inclusion of sensitive credentials like API keys and database passwords. This could lead to the exposure of confidential information if shared or uploaded. A method must be established to sanitize the file.

Sanitization of the session export file requires identifying and redacting sensitive data like API keys and database credentials. The goal is to produce a clean, formatted JSON file suitable for sharing, with placeholders replacing confidential information. This involves both data redaction and schema a

Created At: 2026-10-18T19:12:11+05:30
Completed At: 2026-10-18T19:12:11+05:30
File Path: file:///C:[REDACTED]/.gemini/antigravity-ide/brain/cc551c86-c432-44be-867c-b5e545626744/.system_generated/logs/transcript.jsonl
Total Lines: 639
Total Bytes: 856097
Showing lines 1 to 2
The following code has been modified to include a line number before every line, in the format: <line_number>: <original_line>. Please note that any changes targeting the original code should remove the line number, colon, and leading space.
1: {"step_index":0,"source":"USER_EXPLICIT","type":"USER_INPUT","status":"DONE","created_at":"2026-10-13T14:23:50Z","content":"<USER_REQUEST>\nread baseidea.md\n</USER_REQUEST>\n<ADDITIONAL_METADATA>\nThe current local time is: 2026-10-13T19:53:50+05:30.\n\nThe user's current state is as follows:\nActive Document: c:\Users\<USERNAME MASK>\Videos\HACKATHON PROJ BOXES\StockMate-AI\baseidea.md (LANGUAGE_MARKDOWN)\nCursor is on line: 1\nOther open documents:\n- c:\Users\<USERNAME MASK>\Videos\HACKATHON PROJ BOXES\StockMate-AI\baseidea.md (LANGUAGE_MARKDOWN)\n</ADDITIONAL_METADATA>\n<USER_SETTINGS_CHANGE>\nThe user changed setting Model Selection from None to Gemini 3.8 Flash (High). No need to comment on this change if the user doesn't ask about it. If reporting what model you are, please use a human readable name instead of the exact string.\n</USER_SETTINGS_CHANGE>"}
2: {"step_index":1,"source":"SYSTEM","type":"CONVERSATION_HISTORY","status":"DONE","created_at":"

Created At: 2026-10-18T19:12:31+05:30
Completed At: 2026-10-18T19:12:31+05:30
File Path: file:///C:[REDACTED]/.gemini/antigravity-ide/brain/cc551c86-c432-44be-867c-b5e545626744/.system_generated/logs/transcript.jsonl
Total Lines: 641
Total Bytes: 858465
Showing lines 3 to 8
The following code has been modified to include a line number before every line, in the format: <line_number>: <original_line>. Please note that any changes targeting the original code should remove the line number, colon, and leading space.
3: {"step_index":2,"source":"SYSTEM","type":"KNOWLEDGE_ARTIFACTS","status":"DONE","created_at":"2026-10-13T14:23:50Z"}
4: {"step_index":3,"source":"MODEL","type":"PLANNER_RESPONSE","status":"DONE","created_at":"2026-10-13T14:23:50Z","thinking":"Checking if relevant knowledge items exist to inform this task before proceeding to read the file. Examining the available knowledge to see if any pre-existing information applies to the user's request. The user's intent is to examine baseidea.md.\n\n\n","tool_calls":[{"name":"view_file","args":{"AbsolutePath":"\"C:[REDACTED]/Videos/HACKATHON PROJ BOXES/StockMate-AI/baseidea.md\"","toolAction":"\"Reading baseidea.md\"","toolSummary":"\"Read baseidea.md\""}}]}
5: {"step_index":4,"source":"MODEL","type":"VIEW_FILE","status":"DONE","created_at":"2026-10-13T14:23:55Z","content":"Created At: 2026-10-13T19:53:55+05:30\nCompleted At: 2026-10-13T19:53:55+05:30\nFile Path: `file:///C:[REDACTED]/Videos/HACKATHON%20P