Metadata-Version: 2.4
Name: agentcap
Version: 0.1.1
Summary: Cost guardrails for LLM agent runs.
Project-URL: Homepage, https://github.com/OliverIida/agentcap
Project-URL: Repository, https://github.com/OliverIida/agentcap
Project-URL: Documentation, https://github.com/OliverIida/agentcap/blob/main/DOCUMENTATION.md
Author: Oliver Iida
License: MIT License
        
        Copyright (c) 2026 OliverIida
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
License-File: LICENSE
Keywords: agents,anthropic,cost-control,gemini,llm,openai
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.10
Description-Content-Type: text/markdown

# agentcap
`agentcap` is a cost guardrail for LLM agent runs. It calculates safe token limits before execution and enforces strict budget ceilings using real usage data.

---

Github:
https://github.com/OliverIida/agentcap

PyPI:
https://pypi.org/project/agentcap/

---

## Install

```bash
pip install agentcap
```

---

## Example usage
```python
from agentcap import AgentCap

prompt = "Write 2 lines about Tallinn."

cap = AgentCap(
    model="gpt-5",
    budget_usd=0.05,
)

plan = cap.plan(prompt_text=prompt)

# Pass plan.max_output_tokens into your LLM call

actual_cost = cap.finalize(
    prompt_tokens=response_prompt_tokens,
    output_tokens=response_output_tokens,
)

print("Actual cost (USD):", actual_cost)
```

---

## Documentation
https://github.com/OliverIida/agentcap/blob/main/DOCUMENTATION.md

---

## Supported models
https://github.com/OliverIida/agentcap/blob/main/agentcap/models.json
To add more models, open a PR.

Note: Prices may change. Please verify with the provider.

---

## Model pricing sources
OpenAI pricing: https://developers.openai.com/api/docs/pricing?latest-pricing=standard  
Anthropic pricing: https://platform.claude.com/docs/en/about-claude/pricing  
Gemini pricing: https://ai.google.dev/gemini-api/docs/pricing#standard
