Mimo Flutter Sdk Community

C+ 76 completed
Other
mobile_app / dart · small
52
Files
5,080
LOC
1
Frameworks
3
Languages

Pipeline State

completed
Run ID
#1531209
Phase
done
Progress
0%
Started
2026-04-16 14:45:07
Finished
2026-04-16 14:45:07
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
28.77
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47532
Member of a group with 605 similar repo(s) · framework fluttercanonical #1578719 view group →
Repobility · open methodology · https://repobility.com/research/

AI Prompt

Build me a Flutter mobile application that acts as a client for the Xiaomi MIMO large language model API. I need it to support both OpenAI-compatible and Anthropic-compatible endpoints. The core functionality should include chat completion, streaming responses, and support for advanced features like function calling, image understanding, and text-to-speech (TTS). Please ensure the SDK can handle multimodal inputs and utilize different models like `mimo-v2-pro` and `mimo-v2-omni`.
flutter dart mobile_app llm api_client openai anthropic multimodal
Generated by gemma4:latest

Catalog Information

Build me a Flutter mobile application that acts as a client for the Xiaomi MIMO large language model API. I need it to support both OpenAI-compatible and Anthropic-compatible endpoints. The core functionality should include chat completion, streaming responses, and support for advanced features like function calling, image understanding, and text-to-speech (TTS). Please ensure the SDK can handle multimodal inputs and utilize different models like mimo-v2-pro and mimo-v2-omni.

Tags

flutter dart mobile_app llm api_client openai anthropic multimodal

Quality Score

C+
76.4/100
Structure
78
Code Quality
80
Documentation
62
Testing
85
Practices
71
Security
80
Dependencies
90

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (79% test-to-source ratio)
  • Consistent naming conventions (snake_case)
  • Properly licensed project

Weaknesses

  • Potential hardcoded secrets in 2 files
  • 295 duplicate lines detected — consider DRY refactoring

Recommendations

  • Add a linter configuration to enforce code style consistency
  • Move hardcoded secrets to environment variables or a secrets manager

Languages

dart
90.7%
markdown
8.3%
yaml
0.9%

Frameworks

Flutter

Symbols

class75
method61
function16
enum6

Quality Timeline

1 quality score recorded.

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