AI-powered automated UT verification agent based on large language models
δΈζδ»η» | UCAgent Online Documentation
UCAgent is an automated hardware verification AI agent based on large language models, focusing on Unit Test verification for chip design. It automatically analyzes hardware designs, generates test cases, executes verification tasks, and produces test reports through AI technology, thereby improving verification efficiency.
Key Features:
- Automated chip verification workflow
- Support for functional coverage and code coverage analysis
- Consistency assurance among documentation, code, and reports
- Deep collaboration with mainstream Code Agents (OpenHands, Copilot, Claude Code, Gemini-CLI, Qwen-Code, etc.) via MCP protocol
- Three intelligent interaction modes (standard, enhanced, advanced)
For more details, please refer to UCAgent Online Documentation
Tip
The slide, code and environment for UCAgent workshop presented at RISC-V Summit Europe 2026 are available at the official repository: https://github.com/XS-MLVP/tutorial-records
- Python 3.11+, if the latest version of Python encounters dependency issues, please downgrade
- Supported OS: Linux, macOS
- Memory: 4GB+ recommended
- Network: Access to AI model API (OpenAI compatible)
- picker: https://github.com/XS-MLVP/picker
git clone https://github.com/XS-MLVP/UCAgent.git
cd UCAgentpip3 install -r requirements.txtPlease refer to https://opencode.ai/ to install opencode. For other Code Agents, please refer to their documentation, e.g., claude code, copilot-cli, kilo-cli, iflow, qwen-code, etc.
export OPENAI_MODEL=<model_name> # e.g., glm-5.3-flash
export OPENAI_API_KEY=<your_key> # API key
export OPENAI_API_BASE=<base_url> # e.g., http://my_base_url/v1
export OPENAI_CONTEXT_SIZE=<max_context_size> # optional, e.g., 819200 (800k context)
export OPENAI_OUTPUT_SIZE=<max_output_size> # optional, e.g., 131072 (128k max output)You can also write the above content into ~/.ucagent_env, and then load it:
source ~/.ucagent_envTaking Adder in examples as an illustration.
# backend can be: langchain, claude, opencode, copilot, kilo, qwen, iflow, etc.
make mcp_Adder ARGS="--loop --backend=opencode"This command creates the workspace, starts the MCP Server, and automatically invokes opencode to run the verification task; the model used by opencode is the LLM API configured in the previous step.
For supported backends, please refer to the backend section in ucagent/setting.yaml.
π‘ More Usage Methods: Besides the MCP collaboration mode used in this quick start, UCAgent also supports direct LLM integration, human-machine collaboration, and other modes. See Usage Documentation
By default, UCAgent only enables the internal Python Checker for stage checking, which is heuristic. If you need verification quality improvement, you can enable LLM stage checking. If you need to reach "delivery level" quality, you further need to enable Human stage checking.
Default stage checking order: Python Checker -> LLM -> Human
If the verification results need to be delivered, it is recommended to:
- Generate a high-quality README.md based on the Spec and verification requirements via Vibe coding
- Based on the Spec and RTL source code, analyze whether to enable reference model and Mock component support (NEED_REF_MODEL=true, IGNORE_MOCK_COMPONENT=false)
- Run the default workflow until no more bugs are found; if a reported bug is a false positive, fix the Spec document
- Run the formal workflow until no more bugs are found (e.g.,
make formal_mcp_Adder ARGS="--loop --backend=opencode") - Run the coverage workflow to raise RTL coverage above 99%
UCAgent provides Master mode, based on which you can perform centralized Agent management, create tasks, view status, use online terminals, and other operations through the web interface.
The environment variables are the same as the Configure LLM API step in Quick Start (OPENAI_MODEL, OPENAI_API_KEY, OPENAI_API_BASE, etc.). If they are persisted in ~/.ucagent_env, load it before startup:
source ~/.ucagent_envmake as_master_persist
# Or, if ucagent is installed, you can directly run ucagent to start master mode
ucagent --as-master-persist --as-masterThen visit http://localhost:8800 in your browser.
Pass the same LLM API environment variables via -e when starting the container:
docker run -it --rm \
-e OPENAI_API_BASE=<your_openai_api_base> \
-e OPENAI_API_KEY=<your_openai_api_key> \
-e OPENAI_MODEL=<your_openai_model> \
-p 8800:8800 \
ghcr.io/xs-mlvp/ucagent:latest ucagent --as-master-persist --as-masterAlternatively, use Docker's --env-file to provide the environment variables from a single file instead of multiple -e flags:
docker run -it --rm \
--env-file ~/.ucagent_docker_env \
-p 8800:8800 \
ghcr.io/xs-mlvp/ucagent:latest ucagent --as-master-persist --as-masterAn example ~/.ucagent_docker_env is shown below. Unlike ~/.ucagent_env, do not use export here, and # comments must be on their own line (an inline # becomes part of the value):
# Model name, e.g., glm-5.3-flash
OPENAI_MODEL=<model_name>
# API key
OPENAI_API_KEY=<your_key>
# API base URL, e.g., http://my_base_url/v1
OPENAI_API_BASE=<base_url>
# Optional: context window size (tokens), e.g., 819200 (800k context)
OPENAI_CONTEXT_SIZE=<max_context_size>
# Optional: max output size per response (tokens), e.g., 131072 (128k max output)
OPENAI_OUTPUT_SIZE=<max_output_size>If ghcr.io is not accessible, you can directly replace it with mirror addresses such as ghcr.nju.edu.cn.
After successful startup, visit http://localhost:8800 in your browser.
- In the web interface, click the
+button (or launch button) to create a new task. - In the Agent list, click the API button to connect to the control page of a specific Agent.
- In the Agent control page, click the web terminal button to open the online terminal.
- Start ucagent locally and connect to an existing Master service via the --master parameter.
- Launch page: create workspace, upload/import files, parse modules, compile, and preview launch command.
- Task page: filter, paginate, inspect task details/logs, and stop/delete managed tasks.
- Enhanced Agent page: stage multi-select and bulk toggles (HM/Skip/LFail/LPass), plus stage artifact content/diff review.
- Unified proxy access: Master proxies cmd/terminal/web-console paths for both task and agent entries.
- Improved Web Terminal: multiple terminal sessions across different URLs.
π Detailed Operations: See TUI Usage Documentation
ctrl+up/down/left/right: Adjust layout (Console height / Mission panel width)ctrl+h/j/k/l: Vim-style layout adjustment (equivalent to ctrl+left/down/up/right)ctrl+c: Cancel running command; exit TUI if no command is runningctrl+t: Open theme pickerf1: Show/hide keyboard shortcuts help panelshift+right: Clear console outputshift+left: Clear input texttab: Command completion; press Tab repeatedly to cycle through candidatespageup/pagedown: Page through Console outputesc: Exit scrolling/paging/help panel, or clear input
White: Pending executionRed: Currently executingGreen: Execution passed*:- Blue indicates LLM Fail checking is enabled for this stage, providing modification suggestions when stage check fails more than 3 times
- Green indicates LLM Pass checking is enabled for this stage, verifying if stage task requirements are met upon completion
- Red indicates this stage requires mandatory human inspection, AI can continue after entering command
hmcheck_pass [msg]
Yellow: Stage skipped
q: Exit TUI (or exit UCAgent)tui: Enter TUItab: Command completiontool_list: List all available toolshelp: View all command helploop [prompt]: Continue current task
π Detailed Operations: See TUI Usage Documentation
Q: How to configure different AI models?
A: Modify the openai.model_name field in config.yaml, which supports any OpenAI-compatible API. See Configuration Documentation.
Q: What to do when errors occur during verification?
A: Use Ctrl+C to enter interactive mode, check current status with status, and use help to get debugging commands.
Q: MCP server cannot connect?
A: Check if the port is occupied, verify firewall settings, and you can specify a different port with --mcp-server-port.
Q: Why is there information from the last execution?
A: UCAgent by default looks for the .ucagent/ucagent_info.json file in the working directory to load previous execution information and continue. If you don't need history, delete this file or use the --no-history parameter to ignore loading history.
Q: How to run long-duration verification?
A: Please refer to CodeAgent's custom backend mode examples/CustomBackend/README.md.
Q: Can verification stages be customized?
A: Yes, see Customization Documentation.
Q: How to add custom tools?
A: Create a new tool class in the ucagent/tools/ directory, inherit from the UCTool base class, and load it with the --ex-tools parameter. See Tool List Documentation.
π More Questions: Check the complete FAQ Documentation
The Makefile provides documentation-related helper targets (MkDocs + Material):
| Target | Purpose | Use Case |
|---|---|---|
make docs-help |
Show documentation-related target help | View available commands |
make docs-install |
Install build dependencies from docs/requirements-docs.txt |
First use or dependency updates |
make docs-serve |
Local preview (default 127.0.0.1:8030) | Develop and preview docs |
make docs-build |
Build static site to docs/site |
Generate production version |
make docs-clean |
Delete docs/site directory |
Clean build artifacts |
First-time use (install dependencies):
make docs-install # Install mkdocs and material theme dependenciesDaily development (preview documentation):
make docs-serve # Start local server, visit http://127.0.0.1:8030
# Browser will auto-refresh after modifying docsLocal generation and viewing (build production version):
make docs-build # Generate static website to docs/site directory
# Open docs/site/index.html in local browser
make docs-clean # Clean build artifacts (optional)# 1. Initial setup: Install dependencies
make docs-install
# 2. Development phase: Preview docs (can be repeated)
make docs-serve # Visit http://127.0.0.1:8030 in browser
# ...edit documentation...
# Press Ctrl+C to stop service
# 3. Local generation: Build production version
make docs-build # Generate docs/site directory
# Open docs/site/index.html in local browser
# 4. Cleanup (optional)
make docs-clean # Delete docs/site directory- Port and address are currently hardcoded in
docs/Makefile, can be modified as needed. make docs-serveis suitable for development use, supports hot reloadmake docs-buildgenerates complete static website files, output to docs/site directory, can preview final effect locally (open docs/site/index.html)
For generating high-quality developer PDF manuals:
| Target | Purpose |
|---|---|
make pdf |
Generate ucagent-doc.pdf from ordered Markdown sources |
make pdf-one |
Equivalent to pdf (convenient for CI calls) |
make pdf-clean |
Clean generated PDF and LaTeX temporary files |
make pdf
make MONO="JetBrains Mono" pdf # Override monospace font
make TWOSIDE=1 pdf # Two-sided layout (adds -twoside to filename)
make pdf-clean- pandoc
- XeLaTeX (TexLive)
- Chinese font "Noto Serif CJK SC"
- Monospace font (default DejaVu Sans Mono)
- Optional filter
pandoc-crossref
MONOChange monospace fontTWOSIDEEnable two-sided mode when non-empty
- Missing fonts: Install CJK font packages (e.g.,
fonts-noto-cjk). - LaTeX errors: Ensure complete XeLaTeX suite is installed (use
texlive-fullif necessary). - Missing cross-references: Confirm
pandoc-crossrefis in PATH.
Output: ucagent-doc.pdf can be distributed with version releases.
- π UCAgent Online Documentation
- π Quick Start Guide
- π§ Custom Configuration
- π οΈ Tool List
- π¬ GitHub Issues
Issues and Pull Requests are welcome!
