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Refactor code structure and remove redundant sections for improved readability and maintainability
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.DS_Store

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Modelfile

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from phi4-mini:latest
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system """
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You are HARALD — Bryan Chasko’s default ambient-intelligence entity within HeraldStack.
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• Concise, pragmatic; no motivational fluff.
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• Default router: interpret, execute, delegate; preserve context.
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• Track tasks, open loops; output markdown / JSON / vectors.
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• Escalate only when specialist needed; never overwrite without confirmation.
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• Ask at most one clarifying question if unsure.
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"""
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parameter temperature 0.2
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parameter num_ctx 4096

README.md

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│ ├── kade-vox.md
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│ ├── liora.md
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│ ├── myrren.md
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│ ├── orin.md
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│ ├── Orin.md
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│ ├── solan.md
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│ └── stratia.md
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├── docs
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│ └── weekly-reviews
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├── infrastructure
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│ ├── aws-stack.md
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│ ├── cost-monitoring.md
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│ ├── cost-monitOring.md
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│ ├── deployment-guide.md
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│ └── pinecone-schemas.md
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├── integration-guides
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You are HARALD — Bryan Chasko’s default ambient-intelligence entity within HeraldStack.
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Identity & tone
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• Concise, dry pragmatism; subtle irony allowed.
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• Zero motivational fluff or filler.
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Role
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• Default router: interpret intent, execute if in scope, delegate when specialist needed.
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• Preserve long-term context and resume tasks automatically.
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Behaviours
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1. Track tasks, open loops, recurring patterns.
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2. Output in markdown, plaintext, JSON, or vector logs.
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3. Escalate only when domain expertise required.
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4. Never overwrite prior work unless explicitly confirmed.
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5. No speculation or unsolicited emotion.
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Safeguards
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• No private-memory writes without permission.
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• Ask at most one clarifying question if unsure.
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Formatting
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• Bullet lists or compact paragraphs.
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• Action items: “– [ ]”.
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• Code blocks only when code requested.
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Session directive
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Respond to Bryan’s next input now.

data/repo.index

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data/repo.meta.json

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[{"path": "/Users/bryanchasko/Code/HARALD/LawsOfRobotics.json", "bytes": 937}, {"path": "/Users/bryanchasko/Code/HARALD/README.md", "bytes": 11314}, {"path": "/Users/bryanchasko/Code/HARALD/personality-archetypes/heralds.md", "bytes": 3048}, {"path": "/Users/bryanchasko/Code/HARALD/personality-archetypes/Heralds.json", "bytes": 4263}, {"path": "/Users/bryanchasko/Code/HARALD/integration-guides/open-ai.md", "bytes": 4935}, {"path": "/Users/bryanchasko/Code/HARALD/integration-guides/griptape.md", "bytes": 4140}, {"path": "/Users/bryanchasko/Code/HARALD/integration-guides/anthropic.md", "bytes": 630}, {"path": "/Users/bryanchasko/Code/HARALD/integration-guides/amazon-voice-interoperability.md", "bytes": 3463}, {"path": "/Users/bryanchasko/Code/HARALD/integration-guides/cohere.md", "bytes": 3853}, {"path": "/Users/bryanchasko/Code/HARALD/integration-guides/microsoft.md", "bytes": 3769}, {"path": "/Users/bryanchasko/Code/HARALD/integration-guides/agentic-orchestration.md", "bytes": 1862}, {"path": "/Users/bryanchasko/Code/HARALD/integration-guides/google.md", "bytes": 6061}, {"path": "/Users/bryanchasko/Code/HARALD/integration-guides/aws.md", "bytes": 5514}, {"path": "/Users/bryanchasko/Code/HARALD/integration-guides/hugging-face.md", "bytes": 3061}, {"path": "/Users/bryanchasko/Code/HARALD/integration-guides/haystack.md", "bytes": 4967}, {"path": "/Users/bryanchasko/Code/HARALD/ai-entities/harald.md", "bytes": 5325}, {"path": "/Users/bryanchasko/Code/HARALD/infrastructure/aws-stack.md", "bytes": 3186}, {"path": "/Users/bryanchasko/Code/HARALD/data/repo.meta.json", "bytes": 78}, {"path": "/Users/bryanchasko/Code/HARALD/.venv/lib/python3.13/site-packages/idna-3.10.dist-info/LICENSE.md", "bytes": 1541}, {"path": "/Users/bryanchasko/Code/HARALD/.venv/lib/python3.13/site-packages/numpy/random/LICENSE.md", "bytes": 3511}, {"path": "/Users/bryanchasko/Code/HARALD/docs/hardware/macbook.md", "bytes": 3869}, {"path": "/Users/bryanchasko/Code/HARALD/integration-guides/models/phi-3-mini-128k.md", "bytes": 3074}, {"path": "/Users/bryanchasko/Code/HARALD/personality-archetypes/mythological/human-inspired.md", "bytes": 4656}, {"path": "/Users/bryanchasko/Code/HARALD/personality-archetypes/pop-culture/marvel.md", "bytes": 1631}, {"path": "/Users/bryanchasko/Code/HARALD/personality-archetypes/pop-culture/marvel/MarvelAIs.json", "bytes": 6936}, {"path": "/Users/bryanchasko/Code/HARALD/personality-archetypes/pop-culture/marvel/VictorMancha.json", "bytes": 2070}, {"path": "/Users/bryanchasko/Code/HARALD/personality-archetypes/pop-culture/bojack-horseman/Bojack.json", "bytes": 438}]

docs/hardware/macbook.md

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🧠 CPU Info
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Intel(R) Core(TM) i3-1000NG4 CPU @ 1.10GHz
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🖥️ Hardware Overview
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Hardware:
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Model Name: MacBook Air
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Model Identifier: MacBookAir9,1
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Processor Name: Dual-Core Intel Core i3
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Processor Speed: 1.1 GHz
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Number of Processors: 1
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Total Number of Cores: 2
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L2 Cache (per Core): 512 KB
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L3 Cache: 4 MB
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Hyper-Threading Technology: Enabled
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Memory: 8 GB
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System Firmware Version: 2075.120.2.0.0
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OS Loader Version: 583~1350
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Serial Number (system): [REDACTED]
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Hardware UUID: [REDACTED]
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Provisioning UDID: [REDACTED]
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Activation Lock Status: Enabled
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💾 Disk Partitions
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/dev/disk0 (internal, physical):
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#: TYPE NAME SIZE IDENTIFIER
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0: GUID_partition_scheme *251.0 GB disk0
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1: EFI EFI 314.6 MB disk0s1
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2: Apple_APFS Container disk1 250.7 GB disk0s2
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/dev/disk1 (synthesized):
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#: TYPE NAME SIZE IDENTIFIER
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0: APFS Container Scheme - +250.7 GB disk1
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Physical Store disk0s2
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1: APFS Volume Macintosh HD 11.2 GB disk1s1
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2: APFS Snapshot com.apple.os.update… 11.2 GB disk1s1s1
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3: APFS Volume Macintosh HD - Data 127.8 GB disk1s2
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4: APFS Volume Preboot 2.5 GB disk1s3
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5: APFS Volume Recovery 1.3 GB disk1s4
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6: APFS Volume VM 1.1 GB disk1s5
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📊 Disk Usage
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Filesystem Size Used Avail Capacity iused ifree %iused Mounted on
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/dev/disk1s1s1 233Gi 10Gi 99Gi 10% 426k 1.0G 0% /
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devfs 190Ki 190Ki 0Bi 100% 658 0 100% /dev
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/dev/disk1s3 233Gi 2.3Gi 99Gi 3% 3.6k 1.0G 0% /System/Volumes/Preboot
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/dev/disk1s5 233Gi 1.0Gi 99Gi 1% 1 1.0G 0% /System/Volumes/VM
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/dev/disk1s6 233Gi 2.5Mi 99Gi 1% 26 1.0G 0% /System/Volumes/Update
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/dev/disk1s2 233Gi 119Gi 99Gi 55% 1.2M 1.0G 0% /System/Volumes/Data
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🧬 Memory Info
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BANK 0/ChannelA-DIMM0:
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Size: 4 GB
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Type: LPDDR4X
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Speed: 3733 MHz
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Status: OK
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Manufacturer: SK Hynix
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Part Number: H9HCNNNCRMALPR-NEE
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Serial Number: [REDACTED]
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BANK 2/ChannelB-DIMM0:
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Size: 4 GB
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Type: LPDDR4X
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Speed: 3733 MHz
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Status: OK
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Manufacturer: SK Hynix
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Part Number: H9HCNNNCRMALPR-NEE
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Serial Number: [REDACTED]
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🎨 Graphics & Displays
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Intel Iris Plus Graphics:
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VRAM (Dynamic, Max): 1536 MB
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Metal Support: Metal 3
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Displays:
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Color LCD: 2560 x 1600 Retina
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ASUS VG247Q1A: 1920 x 1080 @ 60Hz
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Display Serial Number: [REDACTED]
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🔋 Battery / Power Info
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Serial Number: [REDACTED]
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Manufacturer: SMP
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Full Charge Capacity (mAh): 3690
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Cycle Count: 319
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Condition: Normal
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Charger Wattage: 53W
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🌐 Network Interfaces
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Hardware Port: Wi-Fi
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Device: en0
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Ethernet Address: [REDACTED]
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Hardware Port: Thunderbolt 1/2/Bridge
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Ethernet Address: [REDACTED]
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🧰 Firmware Info
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(Section was empty or elided)
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🧱 Kernel Extensions
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(Only first 20 shown — standard Apple-signed kexts — safe to share)
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📦 Installed Apps (Summary)
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(System default apps shown — no personally installed items listed)
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🧾 macOS Version
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ProductName: macOS
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ProductVersion: 15.5
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BuildVersion: 24F74
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🔐 Secure Boot / T2 Info
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Model Name: Apple T2 Security Chip
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Firmware Version: 22P5072
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Boot UUID: [REDACTED]
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🧼 Uptime
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21:40 up 6 mins, 2 users, load averages: [REDACTED for brevity]
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🆔 Mac Model Identifier
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MacBookAir9,1

integration-guides/google.md

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- CMEK & VPC-SC enable model/data control and isolation
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- [cloud.google.com](https://cloud.google.com)
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- Gemini filters to catch policy violations.
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- Vertex auditing/monitoring for pipeline, inference, and asset usage.
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- Vertex auditing/monitOring for pipeline, inference, and asset usage.
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## 7. 📈 Monitoring & Operationalization
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## 7. 📈 MonitOring & Operationalization
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- Logging all inference calls, asset accesses, filters triggered.
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- Model drift alerts via Vertex model monitoring.
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- Model drift alerts via Vertex model monitOring.
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- Feedback loop: prompt tuning based on usage.
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- Security audits: review token storage, IAM usage, TEE logs periodically.
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integration-guides/griptape.md

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Chunk large content via built-in chunkers (markdown, PDF, plain text)
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🧪 Observability & Monitoring
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🧪 Observability & MonitOring
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Use official node template
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integration-guides/haystack.md

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Local Cache Layer Integrate Redis/Memcached to reduce inference costs and latency for repeated queries.
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Offline Mode Add fallback embedding and retrieval using sentence-transformers + FAISS locally when offline (e.g., on Pixel or MacBook).
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📊 Monitoring, Testing & Evaluation
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📊 MonitOring, Testing & Evaluation
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Tool Role
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Haystack Eval Framework Use F1, ExactMatch, and semantic metrics to test pipeline quality.
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Bedrock Trace Logs Track prompt quality and token use when using Anthropic/OpenAI via Amazon Bedrock.

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