🛡 AgentGuard
Pre-execution cost estimator for agentic AI systems
AgentGuard analyzes your multi-file agentic codebase and estimates the minimum and maximum possible LLM API cost — without running any code or calling any APIs.
Install
pip install -e .
Usage
agentguard --root_dir ./my_agent
agentguard --root_dir ./my_agent --model claude-3-5-sonnet
agentguard --root_dir ./my_agent --input_tokens 400 --output_max 1000
agentguard --root_dir ./my_agent --json_out report.json
agentguard --root_dir ./my_agent --quiet --dag
What It Detects
- API calls inside loops (cost multiplies with iteration count)
- Nested loops (exponential scaling)
- Missing loop depth limiters (unbounded execution)
- Repeated prompts (caching opportunity)
- Large static prompts (high baseline cost)
- High-complexity tasks (reasoning tax ×20)
Supported Models
gpt-4o, gpt-4o-mini, gpt-4-turbo, claude-3-5-sonnet, claude-3-haiku, claude-3-opus, gemini-1.5-pro, gemini-1.5-flash
Architecture
CLI → Crawler → Analyzer (AST/regex) → Simulator (math model) → Reporter
Release files for agentguard-ai-muaz-iqubal-muaz 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| agentguard_ai_muaz_iqubal_muaz-0.1.2.tar.gz | 11.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| agentguard_ai_muaz_iqubal_muaz-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.9 kB
Release files / agentguard_ai_muaz_iqubal_muaz-0.1.2.tar.gz
| Download URL | agentguard_ai_muaz_iqubal_muaz-0.1.2.tar.gz |
|---|---|
| Size | 11.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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Release files / agentguard_ai_muaz_iqubal_muaz-0.1.2-py3-none-any.whl
| Download URL | agentguard_ai_muaz_iqubal_muaz-0.1.2-py3-none-any.whl |
|---|---|
| Size | 13.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.9
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