Optional Morph Fast Apply model

[bhaktatejas922]

What specific problem does this solve?

Diff edits fail often across all models. Morph's fast apply model brings success rate up to 98%

Additional context (optional)

No response

Roo Code Task Links (Optional)

No response

Request checklist

• I've searched existing Issues and Discussions for duplicates
• This describes a specific problem with clear impact and context

Interested in implementing this?

• Yes, I'd like to help implement this feature

Implementation requirements

• I understand this needs approval before implementation begins

How should this be solved? (REQUIRED if contributing, optional otherwise)

integrate a new edit file tool that is conditionally available based on if Morph api key is set

How will we know it works? (Acceptance Criteria - REQUIRED if contributing, optional otherwise)

Given a developer submits a Morph-generated code edit through Roo Code
When the edit is applied using Morph Fast Apply
Then the correct diff is merged into the target source file(s) with zero syntax or structural errors
And the edit preserves existing logic and formatting not targeted by the diff
And the Morph engine logs the file(s) touched, diff applied, and time taken
But it must not cause regressions, overwrite unrelated code, or introduce non-compilable changes

Technical considerations (REQUIRED if contributing, optional otherwise)

Technical Considerations

Implementation: Morph Fast Apply will be invoked as a deterministic patching layer, likely via SDK or CLI wrapper inside Roo’s code pipeline. Requires feeding in structured diffs from LLMs.

Performance: Designed for high-throughput (~4500 tokens/sec). Should reduce latency and cost

Compatibility: Works best with parsed language environments (e.g. TypeScript, Python, etc.). Non-standard or templated files may need additional handling.

Potential Blockers:

Diff format inconsistencies (LLM hallucinations)
File I/O constraints or sandboxed environments
Team alignment on fallback strategy for failed patch attempts

Trade-offs and risks (REQUIRED if contributing, optional otherwise)

Trade-offs and Risks

Alternative Approaches Considered

Regex-based search and replace: Rejected due to low precision, brittle handling of syntax, and inability to maintain structural integrity of code.

Full file rewrites: Discarded for being high-risk (easily overwrites unrelated logic), slow, and disruptive to version control workflows.

AST diff+patch frameworks: Considered but often slower and less scalable; require heavy configuration to support real-world edge cases.

Why Morph
Morph Fast Apply was chosen because it operates at a code-structure-aware level, providing deterministic, high-accuracy patching. It’s ~98% accurate, drastically faster than regex or file rewrite strategies, and built for CI-grade reliability.

Potential Negative Impacts

Initial Integration Overhead: Requires setup of Morph SDK/runtime inside Roo’s environment, with slight learning curve.

Latency Spikes: First-time model calls or cold starts could delay initial edits.

Debuggability: Mistakes in edit intent (bad prompt or model output) may be harder to trace than with manual changes.

[daniel-lxs]

Hey @bhaktatejas922, Thank you for the proposal. This is an interesting idea. Since you said you wanted to work on this feature, I'm assigning this issue to you.