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Coding · Advanced

# Optimizing pipeline parameters for accuracy and cost

Evaluate agent workflows across model architectures to balance performance and budget

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Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When you askDefine evaluation study
- ThenRun parameter search trials
- ResultDisplay optimal configurations

Configure search spaces across prompts, retrieval settings, and language models to evaluate pipeline trade-offs. The bot executes structured evaluation runs, tracks latency and token expenses, and identifies optimal parameter configurations for your target budget.

## Prompt to start with

BotBentoRecommended

```
Validate study configuration files and database credentials before initiating benchmark trials. Execute evaluation runs via the command line, querying models and logging performance, token counts, and latency metrics to the database. Present trade-off summaries comparing candidate configurations. Always ask for user confirmation before launching new search sweeps that incur API costs or writing changes to production configs.
```

Copy

## Tools it uses

TerminalDatabaseDocs

## Works with

BotBento

## Tags

- llm
- optimization
- evaluation
- benchmarking

## Source

[syftr: syftr is an agent optimizer that helps you find the best agentic workflows for your budget.](https://github.com/datarobot/syftr)
GitHub · checked 2026-10-16

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-16 · Updated 2026-10-16 · [Suggest a correction](/contact/)

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