Bump deepeval from 2.9.7 to 3.7.6

[dependabot]

Bumps deepeval from 2.9.7 to 3.7.6.

Release notes

Sourced from deepeval's releases.

🎉 Metrics for AI agents, multi-turn synthetic data generation, and more!

Full support for agentic evals :)

If you're building agents, DeepEval can now analyze and give you metric scores based on the trace of your LLM app.

🎯 1. Task Completion

Evaluate whether an agent actually completes the intended task, not just whether its final output “looks correct.”

Captures:

• Goal completion
• Intermediate step correctness
• Error recovery
• Procedural accuracy

Docs: https://deepeval.com/docs/metrics-task-completion

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🔧 2. Tool Correctness

Evaluates whether tools were invoked correctly, meaningfully, and in the right order.

Captures:

• Correct tool usage
• Correct argument formatting
• Avoiding hallucinated tools
• Using tools only when needed

Docs: https://deepeval.com/docs/metrics-tool-correctness

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🧩 3. Argument Correctness

Evaluates whether the agent’s arguments to tools are valid, structured, and aligned to the task.

Captures:

• Correct parameter selection
• Type/format adherence
• Logical argument formation
• Avoiding semantically incorrect inputs

Docs: https://deepeval.com/docs/metrics-argument-correctness

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⚡ 4. Step Efficiency

Measures how efficiently an agent completes a task — rewarding fewer unnecessary steps and penalizing detours.

Captures:

• Optimality of step count
• Redundant tool calls

... (truncated)

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[dependabot]

Superseded by #156.