Add Tenro to LLM & MCP Testing

[tenro-oss]

Adding Tenro to the LLM & MCP Testing section.

Tenro is an open-source testing framework for AI agents. It simulates LLM responses and tool calls, making it possible to test edge cases, failure paths, and agent logic without live API calls. It also provides execution tracing to help with debugging.

• Provider-agnostic (OpenAI, Anthropic, Gemini)
• Integrates with pytest
• Apache 2.0 license

Summary by Sourcery

Documentation:

• Document Tenro as an open-source testing framework for AI agents that simulates LLM and tool calls for robust testing without live API usage.

[semanticdiff-com]

Review changes with  

[sourcery-ai]

Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

Adds Tenro, an open-source AI agent testing framework, to the LLM & MCP Testing section of the README, updating project documentation to reference this new tool.

File-Level Changes

Change	Details	Files
Document Tenro as an additional LLM & MCP testing tool in the README.	Extend the LLM & MCP Testing section with a new bullet describing Tenro. Link to the Tenro GitHub repository and briefly summarize its capabilities for simulating LLM and tool calls to test agents without live API calls.	README.md

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[qodo-code-review]

Review Summary by Qodo

Add Tenro to LLM & MCP Testing section

✨ Enhancement 📝 Documentation

Walkthroughs

Description

• Add Tenro testing framework to LLM & MCP Testing section
• Tenro enables AI agent testing without live API calls
• Supports LLM response and tool call simulation
• Provider-agnostic framework with pytest integration

Diagram

flowchart LR
  README["README.md"] -- "Add Tenro entry" --> LLMSection["LLM & MCP Testing Section"]
  LLMSection -- "New resource" --> Tenro["Tenro Framework"]

Loading

File Changes

1. README.md 📝 Documentation +1/-0

Add Tenro framework to documentation

• Added Tenro framework entry to LLM & MCP Testing section
• Includes link to Tenro GitHub repository
• Describes Tenro as open-source testing framework for AI agents
• Highlights key features: LLM/tool call simulation, edge case testing, no live API calls

README.md

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[qodo-code-review]

Code Review by Qodo

🐞 Bugs (0) 📘 Rule violations (0) 📎 Requirement gaps (0)

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[sourcery-ai]

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[llamapreview]

Auto Pull Request Review from LlamaPReview

Review Status: Automated Review Skipped

Dear contributor,

Thank you for your Pull Request. LlamaPReview has analyzed your changes and determined that this PR does not require an automated code review.

Analysis Result:

PR only contains documentation changes (1 files)

Technical Context:

Documentation changes typically include:

• Markdown/RST file updates
• API documentation
• Code comments
• README updates
• Documentation in /docs directory
• License and contribution files

We're continuously improving our PR analysis capabilities. Have thoughts on when and how LlamaPReview should perform automated reviews? Share your insights in our GitHub Discussions.

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[gemini-code-assist]

Code Review

This pull request adds Tenro, an open-source testing framework for AI agents, to the README under the LLM & MCP Testing section. The review feedback suggests improving the description's grammar for consistency and adding details about its provider-agnostic nature and pytest integration.