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langsmith_debugging_steps.md
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langsmith_debugging_steps.md
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# LangSmith Workspace Stats Mismatch - Specific Debugging Steps
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## Overview
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This document provides specific debugging steps to investigate the mismatch between the sidebar count (55) and table display (5) of tracing projects in LangSmith.
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## 1. Comparing API Responses Between /current/stats and Projects Endpoints
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### Step 1.1: Capture API Responses
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```bash
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# Capture the workspace stats endpoint response
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curl -H "Authorization: Bearer $LANGSMITH_API_KEY" \
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-H "Content-Type: application/json" \
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"${LANGSMITH_API_URL}/workspaces/current/stats" \
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> workspace_stats_response.json
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# Capture the projects/sessions endpoint response
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curl -H "Authorization: Bearer $LANGSMITH_API_KEY" \
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-H "Content-Type: application/json" \
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"${LANGSMITH_API_URL}/sessions" \
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> projects_response.json
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# Alternative projects endpoint (if different)
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curl -H "Authorization: Bearer $LANGSMITH_API_KEY" \
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-H "Content-Type: application/json" \
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"${LANGSMITH_API_URL}/projects" \
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> projects_alt_response.json
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```
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### Step 1.2: Analyze Response Structure
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```bash
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# Examine the stats response structure
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jq '.' workspace_stats_response.json
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# Look specifically for tracer_session_count
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jq '.tracer_session_count' workspace_stats_response.json
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# Count actual projects in the response
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jq '. | length' projects_response.json
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# If projects are nested in a data field
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jq '.data | length' projects_response.json
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```
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### Step 1.3: Compare Key Fields
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Create a comparison script:
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```python
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import json
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# Load responses
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with open('workspace_stats_response.json') as f:
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stats = json.load(f)
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with open('projects_response.json') as f:
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projects = json.load(f)
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print(f"Stats endpoint tracer_session_count: {stats.get('tracer_session_count', 'Not found')}")
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print(f"Projects endpoint count: {len(projects.get('data', projects))}")
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print(f"Difference: {stats.get('tracer_session_count', 0) - len(projects.get('data', projects))}")
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```
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## 2. Checking for Pagination/Filtering Differences
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### Step 2.1: Test Pagination Parameters
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```bash
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# Test projects endpoint with different pagination parameters
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curl -H "Authorization: Bearer $LANGSMITH_API_KEY" \
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"${LANGSMITH_API_URL}/sessions?limit=100&offset=0" \
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> projects_page1.json
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curl -H "Authorization: Bearer $LANGSMITH_API_KEY" \
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"${LANGSMITH_API_URL}/sessions?limit=100&offset=100" \
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> projects_page2.json
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# Check if there are more pages
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curl -H "Authorization: Bearer $LANGSMITH_API_KEY" \
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"${LANGSMITH_API_URL}/sessions?limit=1000" \
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> projects_all.json
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```
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### Step 2.2: Analyze Pagination Response
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```python
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import json
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# Check pagination metadata
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with open('projects_page1.json') as f:
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page1 = json.load(f)
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# Look for pagination fields
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print("Pagination fields:")
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for key in ['total', 'count', 'has_more', 'next_page', 'total_count']:
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if key in page1:
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print(f" {key}: {page1[key]}")
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# Count total across all pages
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total_projects = 0
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for page_file in ['projects_page1.json', 'projects_page2.json']:
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try:
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with open(page_file) as f:
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page_data = json.load(f)
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projects_in_page = len(page_data.get('data', page_data))
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total_projects += projects_in_page
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print(f"{page_file}: {projects_in_page} projects")
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except FileNotFoundError:
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break
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print(f"Total projects across pages: {total_projects}")
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```
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### Step 2.3: Test Different Filter Parameters
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```bash
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# Test with different date ranges
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curl -H "Authorization: Bearer $LANGSMITH_API_KEY" \
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"${LANGSMITH_API_URL}/sessions?start_time=2024-01-01&end_time=2024-12-31" \
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> projects_filtered_date.json
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# Test with different status filters
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curl -H "Authorization: Bearer $LANGSMITH_API_KEY" \
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"${LANGSMITH_API_URL}/sessions?status=active" \
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> projects_active.json
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# Test without any filters
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curl -H "Authorization: Bearer $LANGSMITH_API_KEY" \
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"${LANGSMITH_API_URL}/sessions" \
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> projects_unfiltered.json
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```
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## 3. Verifying Permission-Based Visibility
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### Step 3.1: Test with Different User Contexts
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```bash
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# If you have access to different API keys/users, test with each
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export LANGSMITH_API_KEY_USER1="your_user1_key"
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export LANGSMITH_API_KEY_ADMIN="your_admin_key"
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# Test stats endpoint with different users
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curl -H "Authorization: Bearer $LANGSMITH_API_KEY_USER1" \
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"${LANGSMITH_API_URL}/workspaces/current/stats" \
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> stats_user1.json
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curl -H "Authorization: Bearer $LANGSMITH_API_KEY_ADMIN" \
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"${LANGSMITH_API_URL}/workspaces/current/stats" \
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> stats_admin.json
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# Test projects endpoint with different users
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curl -H "Authorization: Bearer $LANGSMITH_API_KEY_USER1" \
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"${LANGSMITH_API_URL}/sessions" \
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> projects_user1.json
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curl -H "Authorization: Bearer $LANGSMITH_API_KEY_ADMIN" \
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"${LANGSMITH_API_URL}/sessions" \
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> projects_admin.json
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```
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### Step 3.2: Compare Permission-Based Results
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```python
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import json
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def compare_user_responses(stats_file1, stats_file2, projects_file1, projects_file2, user1_name, user2_name):
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with open(stats_file1) as f:
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stats1 = json.load(f)
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with open(stats_file2) as f:
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stats2 = json.load(f)
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with open(projects_file1) as f:
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projects1 = json.load(f)
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with open(projects_file2) as f:
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projects2 = json.load(f)
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print(f"{user1_name} stats count: {stats1.get('tracer_session_count', 'N/A')}")
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print(f"{user2_name} stats count: {stats2.get('tracer_session_count', 'N/A')}")
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print(f"{user1_name} projects count: {len(projects1.get('data', projects1))}")
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print(f"{user2_name} projects count: {len(projects2.get('data', projects2))}")
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# Run comparison
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compare_user_responses('stats_user1.json', 'stats_admin.json',
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'projects_user1.json', 'projects_admin.json',
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'Regular User', 'Admin User')
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```
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### Step 3.3: Check Workspace Permissions
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```bash
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# Get current user info
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curl -H "Authorization: Bearer $LANGSMITH_API_KEY" \
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"${LANGSMITH_API_URL}/users/current" \
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> current_user.json
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# Get workspace members and roles
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curl -H "Authorization: Bearer $LANGSMITH_API_KEY" \
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"${LANGSMITH_API_URL}/workspaces/current/members" \
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> workspace_members.json
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```
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## 4. Investigating Data Consistency Between Stats Counting Logic and Table Display Logic
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### Step 4.1: Analyze Project Metadata
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```python
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import json
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from collections import Counter
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from datetime import datetime
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with open('projects_response.json') as f:
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projects_data = json.load(f)
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projects = projects_data.get('data', projects_data)
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# Analyze project statuses
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statuses = [p.get('status', 'unknown') for p in projects]
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status_counts = Counter(statuses)
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print("Project statuses:")
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for status, count in status_counts.items():
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print(f" {status}: {count}")
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# Analyze creation dates
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creation_dates = []
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for p in projects:
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if 'created_at' in p:
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try:
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date = datetime.fromisoformat(p['created_at'].replace('Z', '+00:00'))
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creation_dates.append(date)
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except:
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pass
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if creation_dates:
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print(f"\nDate range:")
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print(f" Earliest: {min(creation_dates)}")
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print(f" Latest: {max(creation_dates)}")
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# Check for archived/hidden projects
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archived_count = sum(1 for p in projects if p.get('archived', False))
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hidden_count = sum(1 for p in projects if p.get('hidden', False))
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print(f"\nSpecial statuses:")
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print(f" Archived: {archived_count}")
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print(f" Hidden: {hidden_count}")
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```
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### Step 4.2: Cross-Reference with Stats Breakdown
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```python
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import json
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# Load both responses
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with open('workspace_stats_response.json') as f:
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stats = json.load(f)
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with open('projects_response.json') as f:
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projects_data = json.load(f)
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# Look for detailed breakdowns in stats
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print("Stats response fields:")
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for key, value in stats.items():
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if isinstance(value, (int, float)):
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print(f" {key}: {value}")
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# Check if stats include different types of sessions/projects
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if 'session_breakdown' in stats:
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print("\nSession breakdown:")
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for key, value in stats['session_breakdown'].items():
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print(f" {key}: {value}")
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```
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### Step 4.3: Identify Discrepancy Patterns
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```python
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import json
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def analyze_discrepancy():
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with open('workspace_stats_response.json') as f:
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stats = json.load(f)
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with open('projects_response.json') as f:
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projects_data = json.load(f)
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stats_count = stats.get('tracer_session_count', 0)
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projects_count = len(projects_data.get('data', projects_data))
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discrepancy = stats_count - projects_count
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print(f"Analysis Summary:")
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print(f" Stats endpoint count: {stats_count}")
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print(f" Projects endpoint count: {projects_count}")
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print(f" Discrepancy: {discrepancy}")
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print(f" Discrepancy percentage: {(discrepancy/stats_count)*100:.1f}%")
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# Hypotheses based on discrepancy size
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if discrepancy > 0:
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print(f"\nPossible explanations for {discrepancy} missing projects:")
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print(" - Projects are archived/hidden in the table view")
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print(" - Permission-based filtering in the table")
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print(" - Stats counting deleted projects that no longer appear")
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print(" - Different time ranges between endpoints")
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print(" - Caching issues in the stats endpoint")
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return discrepancy
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analyze_discrepancy()
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```
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## Execution Checklist
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- [ ] **API Response Comparison**
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- [ ] Captured both endpoint responses
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- [ ] Analyzed response structures
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- [ ] Compared key counting fields
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- [ ] **Pagination/Filtering Analysis**
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- [ ] Tested pagination parameters
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- [ ] Verified total count across pages
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- [ ] Tested different filter combinations
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- [ ] **Permission Verification**
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- [ ] Tested with different user roles (if available)
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- [ ] Compared permission-based results
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- [ ] Checked workspace member permissions
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- [ ] **Data Consistency Investigation**
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- [ ] Analyzed project metadata and statuses
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- [ ] Cross-referenced with stats breakdown
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- [ ] Identified discrepancy patterns
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## Expected Outcomes
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After completing these debugging steps, you should have:
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1. **Clear API Response Comparison**: Understanding of what each endpoint returns and how they differ
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2. **Pagination Clarity**: Knowledge of whether pagination is causing the discrepancy
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3. **Permission Impact**: Understanding of how user permissions affect the counts
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4. **Data Consistency Insights**: Identification of the root cause of the 55 vs 5 mismatch
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## Next Steps
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Based on the debugging results:
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- If pagination is the issue: Implement proper pagination handling in the frontend
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- If permissions are the cause: Align permission logic between endpoints
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- If data consistency is the problem: Report to LangSmith backend team with evidence
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- If filtering differences exist: Standardize filtering logic across endpoints
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