agentic-ic 0.1.1

AgentIC — Autonomous AI-Driven Chip Design: Natural Language to GDSII

AgentIC: The Limitless AI-Driven Silicon Compiler

AgentIC is a next-generation, physics-aware AI hardware design suite. It seamlessly bridges the gap between natural language intention and fabrication-ready GDSII chip layouts.

Whether you are designing a specialized cryptography accelerator, a machine learning NPU, or a custom RISC-V processor, AgentIC acts as your automated VLSI architecture team. Instead of manually writing thousands of lines of Verilog and debugging synthesis loops, you simply describe your chip. AgentIC handles the logic generation, verification, timing constraints, and physical routing.

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Installation

1. Install the package

pip install agentic-ic

2. Check your environment

agentic doctor

This checks that OSS CAD Suite, Docker, and other required tools are available. See the output for any missing dependencies.

3. Install a PDK

AgentIC requires an open-source PDK (Process Design Kit) to build chips.

# See all available PDKs
agentic install-pdk list

# Install SkyWater 130nm (recommended for beginners)
agentic install-pdk sky130

# Install GlobalFoundries 180nm
agentic install-pdk gf180mcu

Supported PDKs: sky130, gf180mcu, asap7, nangate45, freepdk45, osu018, osu035

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PDK Comparison Guide

PDK	Node	Voltage	Max Freq	Maturity	Use Case
sky130	130nm	1.8V	150 MHz	⭐⭐⭐ Production	Best choice - Complete tool support, real tapeouts
gf180mcu	180nm	1.8V	100 MHz	⭐⭐ Production	Automotive grade, high voltage options
asap7	7nm	0.7V	1000 MHz	⭐ Research	Research/learning 7nm flows
nangate45	45nm	1.1V	500 MHz	⭐ Research	Academic, single corner
freepdk45	45nm	1.1V	500 MHz	⭐ Research	NC State, educational
osu018	180nm	1.8V	100 MHz	⭐ Educational	Limited cells, easy setup
osu035	350nm	3.3V	50 MHz	⭐ Educational	High voltage, easy probing

What Each PDK Supports

PDK	Synthesis	Place&Route	DRC/LVS	Real Tapeout
sky130	✅	✅	✅ Complete	✅ Yes
gf180mcu	✅	✅	✅ Complete	✅ Yes
asap7	✅	✅	⚠️ Limited	❌ No
nangate45	✅	✅	⚠️ Limited	❌ No
freepdk45	✅	✅	⚠️ Limited	❌ No
osu018	✅	❌	⚠️ Limited	❌ No
osu035	✅	❌	⚠️ Limited	❌ No

Which PDK Should You Choose?

For beginners: Use sky130 - everything works, lots of examples, real chip fabrication possible.

For research/learning 7nm: Use asap7 - simulates 7nm FinFET technology.

For automotive/industrial: Use gf180mcu - higher voltage, automotive grade.

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PDK Installation Guide

Sky130 (Recommended - Auto Install)

# One-command installation
agentic install-pdk sky130

# Or use volare (recommended for full control)
volare enable --pdk sky130
volare add --pdk sky130 --tag 2024.12.2_01.51

What gets installed:

~/.ciel/
└── sky130A/                    # Main PDK directory
    ├── libs.ref/                # Cell libraries
    │   ├── sky130_fd_sc_hd/     # High-density standard cells
    │   │   ├── verilog/         # Verilog models (for Yosys)
    │   │   ├── lib/            # Liberty timing files
    │   │   └── gds/            # GDS layouts
    │   └── sky130_sram/         # SRAM memories
    └── libs.tech/               # Tool-specific files
        ├── magic/              # Magic DRC tech files
        ├── netgen/             # Netgen LVS setup
        └── klayout/            # KLayout DRC/LVS rules

GF180MCU (Auto Install)

# One-command installation
agentic install-pdk gf180mcu

# Or use volare
volare enable --pdk gf180mcu
volare add --pdk gf180mcu --tag 2024.06.2_01.00

What gets installed:

~/.ciel/
└── gf180mcuC/                  # 5-metal stack variant
    ├── libs.ref/
    │   ├── gf180mcu_fd_sc_mcu7t5v0/  # 7-track standard cells
    │   └── gf180mcu_fd_io/    # I/O cells
    └── libs.tech/
        ├── magic/
        ├── netgen/
        └── klayout/

ASAP7 (Manual Installation Required)

ASAP7 is a predictive 7nm PDK - it cannot be fabricated but works with open-source tools.

# 1. Clone OpenROAD-flow-scripts (has ASAP7 support)
git clone https://github.com/The-OpenROAD-Project/OpenROAD-flow-scripts.git
cd OpenROAD-flow-scripts

# 2. Download ASAP7 PDK files
make setup-asap7

# 3. Set environment
export PDK_ROOT=$(pwd)/pdks

Expected structure:

pdks/
└── asap7/
    ├── asap7sc7p5t/            # Standard cells
    │   ├── lib/                # Liberty files
    │   ├── lef/                # LEF for place&route
    │   └── verilog/            # Verilog for Yosys
    └── asap7/                  # OpenROAD platform

Nangate45/FreePDK45 (Manual Installation)

# 1. Clone OpenROAD-flow-scripts
git clone https://github.com/The-OpenROAD-Project/OpenROAD-flow-scripts.git
cd OpenROAD-flow-scripts

# 2. Download PDK files
make setup-freepdk45   # or make setup-nangate45

# 3. Set environment
export PDK_ROOT=$(pwd)/pdks

OSU018/OSU035 (Manual Installation)

Oklahoma State University educational PDKs:

# 1. Get files from OSU website or GitHub
# Visit: https://github.com/osu-icssr?tab=repositories&q=pdk

# 2. Create directory structure
mkdir -p $PDK_ROOT/osu018
# Copy PDK files here

mkdir -p $PDK_ROOT/osu035
# Copy PDK files here

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Where to Place PDK Files (Simple Explanation)

The Short Answer

PDK_ROOT/           ← Set this in your environment
└── {pdk_name}/    ← e.g., sky130A, gf180mcuC, asap7
    ├── libs.ref/  ← Cell libraries (standard cells, SRAM)
    └── libs.tech/ ← Tool files (DRC, LVS, timing)

What Each Folder Contains (Simple Terms)

libs.ref/           "Reference Libraries" - What cells exist
├── {std_cell_lib}/   Your standard cell library
│   ├── verilog/      Cell behavior in Verilog (for synthesis)
│   ├── lib/          Cell timing in Liberty format (for timing analysis)
│   └── gds/          Cell layouts in GDS format (for final chip)
└── {sram_lib}/       Memory blocks (optional)

libs.tech/          "Technology files" - How tools work with the PDK
├── magic/            Files for Magic DRC tool
├── netgen/           Files for Netgen LVS tool
└── klayout/          Files for KLayout DRC/LVS tool

Example: Sky130 Structure

~/.ciel/                    ← PDK_ROOT
└── sky130A/                ← PDK variant
    ├── libs.ref/
    │   ├── sky130_fd_sc_hd/     ← Standard cells (HD = High Density)
    │   │   ├── verilog/
    │   │   │   └── sky130_fd_sc_hd.v
    │   │   ├── lib/
    │   │   │   └── sky130_tt.lib
    │   │   └── gds/
    │   │       └── sky130_fd_sc_hd.gds
    │   └── sky130_sram/         ← Memories
    └── libs.tech/
        ├── magic/
        │   └── sky130A.tech     ← Magic DRC rules
        ├── netgen/
        │   └── sky130_setup.tcl ← Netgen LVS rules
        └── klayout/
            └── sky130.lydrc    ← KLayout DRC rules

Common Mistakes

❌ Wrong: Putting files in random locations

~/downloads/asap7/...      ← Tools won't find this
~/my_pdk_files/...         ← Tools won't find this

✅ Correct: Set PDK_ROOT and put files there

export PDK_ROOT=~/.ciel    ← Define this
~/.ciel/sky130A/...        ← Tools will find files here
~/.ciel/asap7/...          ← Tools will find files here

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Verifying PDK Installation

# Check what PDKs are installed
ls -la $PDK_ROOT/

# Verify sky130 installation
ls $PDK_ROOT/sky130A/libs.tech/

# Check for required files
find $PDK_ROOT/sky130A -name "*.v" -o -name "*.lib" -o -name "*.tech" | head -20

# Test with AgentIC
agentic doctor

After installation, add to your shell profile:

export PDK_ROOT=~/.ciel   # or wherever you installed the PDK

4. Setup AgentIC (First Run)

On first run, AgentIC will automatically guide you through setup. Or run it manually:

agentic login

The interactive setup wizard will ask for:

• LLM API Key — Your OpenAI, Anthropic, Groq, or any OpenAI-compatible API key
• Custom Base URL — Optional, for self-hosted models (LM Studio, vLLM, Ollama, etc.)
• AgentIC License Key — Optional, for production features
• Supabase URL — Optional, for cloud features

Any OpenAI-compatible provider works:

Provider	Base URL	Example Model
OpenAI	(default)	gpt-4o
Anthropic	(none needed)	claude-3-5-sonnet
Groq	api.groq.com/openai/v1	llama-3.3-70b
Ollama	localhost:11434	qwen2.5-coder:7b
LM Studio	localhost:1234	any local model
vLLM / Zai	your-endpoint.com/v1	meta-llama-3.1-70b

5. Build your first chip

agentic build \
  --name fast_multiplier \
  --desc "A high-speed 16-bit pipelined hardware multiplier with active-low synchronous reset." \
  --pdk sky130

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Quick Command Reference

Command	Description
agentic doctor	Check environment and toolchain
agentic install-pdk <name>	Install a PDK (sky130, gf180mcu, etc.)
agentic install-pdk list	Show all available PDKs
agentic login	Interactive setup wizard (first run)
agentic configure	Reconfigure LLM API keys
agentic build --name X --desc "..."	Build a chip from natural language
agentic synth --rtl <path> --top <name>	Run Yosys synthesis
agentic sta --netlist <path> --sdc <path> --lib <path>	Run OpenSTA timing analysis
agentic power --netlist <path>	Run power analysis
agentic dft --rtl <path> --top <name>	Run DFT scan insertion
agentic drc --gds <path> --tech <path>	Run Magic DRC
agentic lvs --sch <path> --gds <path> --setup <path>	Run Netgen LVS
agentic report --design <name>	Generate QOR report
agentic harden --name <name>	Run OpenLane hardening
agentic simulate --name <name>	Run simulation with auto-fix

Important: All file paths must be exact paths (e.g., designs/my_design/src/my_design.v). Relative paths like tiny_alu.v are not auto-resolved.

For complete CLI documentation with all options, see: docs/CLI_COMMANDS.md

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LLM Caching & Rate Limiting

AgentIC includes intelligent caching to reduce API costs and handle rate limits gracefully.

How It Works

1. Response Caching: Identical prompts are cached for 24 hours (configurable)
2. Rate Limit Recovery: On 429 errors, waits 30s then tries cache
3. Provider Fallback: Automatically retries with different providers
4. Token Budgeting: Smart context truncation based on model limits

Cache Commands

# View cache statistics and hit rate
agentic cache stats

# Clear all cached responses
agentic cache clear

# Clear expired entries only
agentic cache prune

What Gets Cached

• RTL generation prompts and outputs
• Testbench generation prompts
• Verification result analysis
• SVA assertion generation

Cache Location

~/.agentic_cache/
├── response_cache.db    # LLM response cache (SQLite)
└── usage.db             # API usage tracking

Rate Limit Behavior

When rate limited by an LLM provider:

1. First 30s: Wait with exponential backoff
2. After 30s: Check cache for identical prompt
3. After 60s: Try fallback provider
4. After 120s: Fail gracefully with error

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Checkpoint Management

AgentIC automatically saves checkpoints at key build milestones, enabling recovery from failures.

When Checkpoints Are Saved

• After RTL generation (RTL_GEN)
• After verification (VERIFICATION)
• After synthesis (SYNTHESIS)
• After floorplanning (FLOORPLAN)
• After hardening (HARDENING)
• After signoff (SIGNOFF)
• On failure

Checkpoint Commands

# List checkpoints for a design
agentic checkpoint --design my_design list

# Show details of latest checkpoint
agentic checkpoint --design my_design list --latest

# Restore from checkpoint (view only - full restore requires orchestrator API)
agentic checkpoint --design my_design restore

# Clear all checkpoints
agentic checkpoint --design my_design clear

Checkpoint Contents

Each checkpoint saves:

• Current build state and step count
• RTL code and testbench
• Architecture specification
• Coverage metrics
• Convergence history
• Error history

Checkpoint Location

checkpoints/
└── {design_name}/
    ├── latest.json              # Most recent checkpoint
    ├── checkpoint_20240115_120000.json
    ├── checkpoint_20240115_121500.json
    └── metadata_index.json      # Checkpoint history

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API Usage Tracking

Track your API costs and optimize usage with detailed analytics.

Usage Commands

# Summary view (default)
agentic usage

# Detailed daily breakdown
agentic usage --format detailed --days 7

# Compare providers
agentic usage --format provider

# Filter by build
agentic usage --build my_design --days 30

What Gets Tracked

• Per-call: Provider, model, tokens, duration, success/failure
• Per-build: Total calls, cache hits, cost estimate
• Per-stage: RTL_GEN, VERIFICATION, SYNTHESIS, etc.

Cost Estimation

Provider	Model	Cost/1K Tokens
OpenAI	gpt-4o	$0.005
OpenAI	gpt-4o-mini	$0.00015
Anthropic	claude-3-5-sonnet	$0.003
Groq	llama-3.3-70b	$0.00059

Reducing API Costs

1. Use cache: Identical prompts are free after first call
2. Use smaller models: gpt-4o-mini is 30x cheaper than gpt-4o
3. Use Groq: Free tier available, fast inference
4. Batch builds: Cache hits increase with repeated similar designs

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Token Budget Management

AgentIC uses intelligent token budgeting to maximize context efficiency.

How It Works

• Provider-aware: Respects context limits (GPT-4o: 128K, Claude: 200K, Groq: 32K)
• Priority-based: Error messages > Spec > RTL > History
• Smart truncation: Preserves module structure when truncating

Default Allocation

Content Type	Budget
Error messages	25%
RTL code	35%
Architecture spec	20%
History	10%
Other	10%

Error-Focused Mode

When fixing errors, allocation shifts:

• Error messages: 45%
• RTL code: 30%
• Spec: 10%

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Build Command Options

Core options

--name TEXT           Design name (required)
--desc TEXT           Natural language description (required)
--pdk-profile TEXT    Target PDK (auto-detected if omitted)
--skip-openlane       Stop after simulation (no GDSII hardening)

Verification options

--skip-coverage       Skip coverage analysis
--min-coverage FLOAT  Minimum line coverage % (default: 80.0)
--full-signoff        Run full industry signoff (formal + coverage + DRC/LVS)

Control flow options

--max-retries N       Max auto-fix retries (default: 5)
--strict-gates/--no-strict-gates  Enable/disable fail-closed gating
--dry-run             Validate spec without running build
--json                Output machine-readable JSON

Thinking display

--show-thinking       Print LLM reasoning for each step
--thinking-level       minimal (default) | normal | verbose

Testbench options

--tb-gate-mode        strict (default) | relaxed
--tb-max-retries N    Max TB recovery attempts (default: 3)
--tb-fallback-template  uvm_lite (default) | classic

Coverage options

--coverage-backend    auto (default) | verilator | iverilog
--coverage-fallback-policy  fallback_oss (default) | fail_closed | skip
--coverage-profile     balanced (default) | aggressive | relaxed

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System Requirements

Required

• Python 3.10+ — your own virtual environment (see below)
• OSS CAD Suite — verilator, iverilog, vvp, yosys, sby
  • Download: https://github.com/YosysHQ/oss-cad-suite-build/releases
  • Set: export OSS_CAD_SUITE_HOME=/path/to/oss-cad-suite
• LLM API key — OpenAI, Anthropic, Groq, or any OpenAI-compatible provider

Optional

• Docker — Required for OpenLane RTL→GDSII hardening
  • Install: https://docs.docker.com/get-docker/
• Volare — For automated PDK installation via volare
  • Install: pip install volare

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Python Environment Setup

Do NOT use OSS CAD Suite's bundled Python

OSS CAD Suite ships with its own Python interpreter (oss-cad-suite/py3bin/python3). This is not the Python you should use to run AgentIC.

OSS CAD Suite's Python is compiled alongside the EDA binaries for internal tool compatibility. It likely lacks AgentIC's dependencies (crewai, litellm, typer, rich, etc.).

The correct setup: your own virtual environment

Create a separate Python virtual environment for AgentIC. AgentIC calls EDA tools as subprocesses — it does not need to run inside the OSS CAD Suite Python.

# 1. Create your own virtual environment
python3 -m venv ~/agentic-env
source ~/agentic-env/bin/activate

# 2. Install AgentIC (this installs all Python dependencies)
pip install agentic-ic

# 3. Point to OSS CAD Suite (where the EDA binaries live)
export OSS_CAD_SUITE_HOME=/path/to/oss-cad-suite

# 4. Set PDK location
export PDK_ROOT=~/.ciel

# 5. Run AgentIC
agentic build --name counter --desc "8-bit counter"

Why this works

AgentIC does not import or run inside OSS CAD Suite's Python. It simply:

1. Finds EDA tool binaries via OSS_CAD_SUITE_HOME or PATH
2. Calls them as independent subprocesses (subprocess.run(['yosys', ...]))
3. Reads back the output

Your own virtual environment only needs the AgentIC pip package. The EDA tools (yosys, verilator, iverilog, sby, magic, netgen, etc.) are standalone binaries found by the OSS_CAD_SUITE_HOME environment variable.

Environment variable reference

Add these to your shell profile (~/.bashrc, ~/.zshrc, etc.):

# Python virtual environment (your own)
source ~/agentic-env/bin/activate

# OSS CAD Suite location
export OSS_CAD_SUITE_HOME=/path/to/oss-cad-suite

# PDK installation root
export PDK_ROOT=~/.ciel

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Notes

• Keep Docker running if you want the physical hardening flow.
• If you only want RTL generation and verification, use --skip-openlane.
• OpenLane is pulled through Docker on demand — no separate manual install needed.
• Build outputs are written to $OPENLANE_ROOT/designs/ (or agentic-workspace/ by default).
• After first login, subsequent commands run silently without re-verification.
• License works offline for up to 24 hours (then needs re-verification).

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License

COPYRIGHT © 2026. ALL RIGHTS RESERVED.

AgentIC is proprietary software. Purchase a license at buildstack.live.

Unauthorized copying, reproduction, reverse-engineering, or distribution of this software is strictly prohibited.

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AgentIC — From Thought to Silicon.