mistralai_client_dart_flutter_flow 0.1.1 copy "mistralai_client_dart_flutter_flow: ^0.1.1" to clipboard
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This is an unofficial Dart/Flutter client for the Mistral AI API with support for Flutter Flow.

0
likes
110/ 160
pub points
18%
popularity

We analyzed this package 19 hours ago, and awarded it 110 pub points (of a possible 160):

failed
Follow Dart file conventions
20 / 30trigger folding of the section

0/10 points: Provide a valid pubspec.yaml

Failed to verify repository URL.

Please provide a valid repository URL in pubspec.yaml, such that:

  • repository can be cloned,
  • a clone of the repository contains a pubspec.yaml, which:,
    • contains name: mistralai_client_dart_flutter_flow,
    • contains a version property, and,
    • does not contain a publish_to property.

Repository has no matching pubspec.yaml with name: mistralai_client_dart_flutter_flow.

5/5 points: Provide a valid README.md

5/5 points: Provide a valid CHANGELOG.md

10/10 points: Use an OSI-approved license

Detected license: MIT.

failed
Provide documentation
10 / 20trigger folding of the section

10/10 points: 20% or more of the public API has dartdoc comments

34 out of 168 API elements (20.2 %) have documentation comments.

Some symbols that are missing documentation: mistralai_client_dart_flutter_flow, mistralai_client_dart_flutter_flow.ChatCompletionChunkResult.ChatCompletionChunkResult.fromJson, mistralai_client_dart_flutter_flow.ChatCompletionChunkResult.choices, mistralai_client_dart_flutter_flow.ChatCompletionChunkResult.created, mistralai_client_dart_flutter_flow.ChatCompletionChunkResult.id.

0/10 points: Package has an example

No example found.

See package layout guidelines on how to add an example.

OK
Platform support
20 / 20trigger folding of the section

20/20 points: Supports 6 of 6 possible platforms (iOS, Android, Web, Windows, macOS, Linux)

  • ✓ Android

  • ✓ iOS

  • ✓ Windows

  • ✓ Linux

  • ✓ macOS

  • ✓ Web

0/0 points: WASM compatibility

This package is compatible with runtime wasm, and will be rewarded additional points in a future version of the scoring model.

See https://dart.dev/web/wasm for details.

OK
Pass static analysis
50 / 50trigger folding of the section

50/50 points: code has no errors, warnings, lints, or formatting issues

failed
Support up-to-date dependencies
10 / 40trigger folding of the section

0/10 points: All of the package dependencies are supported in the latest version

Package Constraint Compatible Latest
http ^0.13.0 0.13.6 1.2.2
json_annotation ^4.8.1 4.9.0 4.9.0
meta ^1.9.0 1.16.0 1.16.0
Transitive dependencies
Package Constraint Compatible Latest
async - 2.12.0 2.12.0
collection - 1.19.1 1.19.1
http_parser - 4.1.1 4.1.1
path - 1.9.1 1.9.1
source_span - 1.10.0 1.10.0
string_scanner - 1.4.0 1.4.0
term_glyph - 1.2.1 1.2.1
typed_data - 1.4.0 1.4.0

To reproduce run dart pub outdated --no-dev-dependencies --up-to-date --no-dependency-overrides.

The constraint `^0.13.0` on http does not support the stable version `1.0.0`.

Try running dart pub upgrade --major-versions http to update the constraint.

10/10 points: Package supports latest stable Dart and Flutter SDKs

0/20 points: Compatible with dependency constraint lower bounds

downgrade analysis failed failed with 1 error:

  • URI_DOES_NOT_EXIST - lib/src/mistralai_client_dart_base.dart:4:8 - Target of URI doesn't exist: 'package:http/retry.dart'.

Run dart pub downgrade and then dart analyze to reproduce the above problem.

You may run dart pub upgrade --tighten to update your dependency constraints, see dart.dev/go/downgrade-testing for details.

Analyzed with Pana 0.22.15, Dart 3.5.4.

Check the analysis log for details.

0
likes
110
pub points
18%
popularity

Publisher

verified publishernomtek.com

This is an unofficial Dart/Flutter client for the Mistral AI API with support for Flutter Flow.

Repository (GitHub)
View/report issues

Topics

#ai #nlp #llms #mistral

Documentation

API reference

License

MIT (license)

Dependencies

http, json_annotation, meta

More

Packages that depend on mistralai_client_dart_flutter_flow