chrisbanes / chrisbanes/ensemble
Cross-examination pipeline pattern (propose → attack → rebut)
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- Dominant language
- Rust
- Stars
- 11
- Forks
- 0
- Avg merge
- 23h 12m
- Merged PRs (30d)
- 84
Description
Support a workflow where one agent proposes a solution and another attacks it, with configurable rounds of rebuttal. The attacker tries to refute the proposer's work; a judge rules on what survived.
Why
Self-review is weak. A model is measurably worse at finding holes in its own reasoning than at attacking another's. Cross-provider examination (e.g. one model proposes, a different model attacks) decorrelates errors further.
Status
Unblocked by #174 for fixed-round implementations: agents can now receive each other's prior outputs through downstream step context. DAG loops are still not supported, so the practical first version should model a fixed number of rounds as sequential steps.
Example flow
- Proposer agent produces a solution
- Attacker agent receives the proposal and tries to refute it
- Proposer receives the attack and rebuts
- Repeat for a configured fixed number of rounds
- Judge agent rules on survived/conceded/open points
Initial scope
Start with fixed-round sequential steps. A later dynamic-loop design can be tracked separately if repeated rounds need to continue until convergence.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by tracing the downstream step context described in the issue and the existing sequential-step execution path enabled by #174. Model the proposer, attacker, rebuttal, and judge as a fixed sequence of steps with configurable rounds; done means the workflow runs without DAG loops and passes the project's relevant tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- rust
- Domain
- ai
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100