This commit significantly improves the `replace` tool's robustness by introducing a multi-stage correction mechanism. This directly addresses challenges with LLM-generated tool inputs, particularly the over-escaping of strings sometimes observed with Gemini models, and other minor discrepancies that previously led to failed edits.
The correction process is as follows:
1. **Targeted Unescaping:** The system first applies a specialized unescaping function to the `old_string` and `new_string` to counteract common LLM-induced escaping patterns.
2. **LLM-Powered Discrepancy Resolution:** If a unique match for the `old_string` is still not found, the system leverages a Gemini model (`gemini-2.5-flash-preview-04-17`) to:
* Identify the most probable intended `old_string` in the file by intelligently correcting minor formatting or escaping differences.
* Adjust the `new_string` to correspond with any corrections made to the `old_string`, maintaining the original edit's intent.
This enhancement makes the `replace` tool more resilient and effective, leading to a higher success rate for automated code modifications. The `expected_replacements` parameter has been removed as the tool now focuses on finding a single, unique, and correctable match. The tool's description and error reporting have been updated to reflect these new capabilities.
Fixes https://b.corp.google.com/issues/416933027
This change introduces a User-Agent header to all API requests made by the Gemini CLI.
The User-Agent string includes the CLI version, Node.js version, operating system, and architecture. This will help in tracking usage and identifying potential issues.
Fixes https://b.corp.google.com/issues/416353675
Signed-off-by: Gemini
Implements robust error handling for Gemini API calls, integrating with the centralized error reporting system.
- API errors are now caught and reported to dedicated log files, providing detailed diagnostics without cluttering the user interface.
- A concise error message is surfaced to the user in the UI, indicating an API issue.
- Ensures any pending UI updates are processed before an API error is displayed.
This change improves our ability to diagnose API-related problems by capturing rich error context centrally, while maintaining a clean user experience.
Signed-off-by: Gemini <YourFriendlyNeighborhoodAI@example.com>
- Currently there's a bug in the API (or SDK?) where the SDK endpoint will commonly fail with:
```
Error: Failed to generate JSON content: got status: 400 Bad Request. {"error":{"code":400,"message":"* GenerateContentRequest.contents[5].parts: contents.parts must not be empty.\n","status":"INVALID_ARGUMENT"}}
```
- At times the model will respond with an empty parts list where if we send that back up to the API endpoint it explodes with the above. Using a curated history seems like a total hack around this prolbem, and even in the SDK (i'm following up on this), BUT helps mitigate this issue.
- We now solely use the shell tool. This deletes all content around the legacy terminal tool so we can focus on improving the new Shell tool.
- Remove instances from sandboxing, tests, utilities etc.
- There seems to be a root model bug where the model will preemptively bail on conversations without trying harder. Typically the stops are VERY obvious and bug-looking where you need to prmopt the model to "continue".
- This PR attempts to fix the above by running a 2.0-flash request (don't need somethign more powerful) at the end of every full interaction to see who should speak (user or model).
- Add tests for nextSpeakerChecker
Fixes https://b.corp.google.com/issues/416826051
- Plumbed abort signals through to tools
- Updated the shell tool to properly cancel active requests by killing the entire child process tree of the underlying shell process and then report that the shell itself was canceled.
Fixes https://b.corp.google.com/issues/416829935
- We were console.erroring, throwing and early aborting. Instead we now treat cancels like a normal user message and show an indicator in the UI
Fixes https://b.corp.google.com/issues/416515841
- Prior to this change, the model would often escape parameters when requesting edits, leading to failures in matching the original content. This update clarifies the expected format for `old_string` and `new_string` to prevent such issues.
- Update `EditTool` description to provide clearer instructions.
- Clarify expectations for `old_string` and `new_string` parameters, emphasizing the need for exact, unescaped text.
- Aim to reduce user errors by setting better expectations for tool usage.
Fixes: https://b.corp.google.com/issues/413088274
— Your friendly neighborhood Gemini
- Prior to this GC would attempt to utilize React components as game assets (instead of using canvas) + would fail to deal with placeholder assets effectively.
Part of https://b.corp.google.com/issues/413718497
- Refine agent persona from 'assistant' to 'agent'.
- Restructure prompt into distinct 'Software Engineering Tasks' and 'New Application' workflows.
- Add detailed steps and tool usage guidance for creating new applications.
- Improve clarity and formatting of prompt instructions.
Part of https://b.corp.google.com/issues/413718497
Signed-off-by: Gemini, your friendly neighborhood code agent.
- Motivation of this upgrade is to enable us to get convenient access to the thinking budget config changes for 2.5 thinking models. This will be key to getting our model to take a bit more time for various requests.
Olcan
Taylor Mullen
Brandon Keiji
Seth Troisi
Jacob Richman