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feat: runtime configuration of vision-capable models #5919

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merged 7 commits into from
Dec 22, 2024

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Yiming3
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@Yiming3 Yiming3 commented Dec 10, 2024

💻 变更类型 | Change Type

  • feat
  • fix
  • refactor
  • perf
  • style
  • test
  • docs
  • ci
  • chore
  • build

🔀 变更说明 | Description of Change

This PR provides runtime configuration of vision-capable models suggested from #5843

  1. Replacing hardcoded keyword checks with regex patterns for better flexibility
  2. Adding support for environment variable VISION_MODELS to allow runtime configuration of vision-capable models
  3. Moving model patterns to constants for better maintainability
Key Changes:
  • Added VISION_MODEL_REGEXES and EXCLUDE_VISION_MODEL_REGEXES in constant.ts
  • Updated isVisionModel() to use regex patterns instead of string includes
  • Added support for VISION_MODELS environment variable

📝 补充信息 | Additional Information

  • The regex patterns provide more precise matching (e.g., exact match for "dall-e-3")
  • Maintains backward compatibility with existing vision model detection
    1

Summary by CodeRabbit

Summary by CodeRabbit

  • New Features

    • Introduced new constants for identifying and excluding specific vision models.
    • Enhanced model identification with a dynamic approach using environment variables.
    • Added a comprehensive test suite for the vision model identification functionality.
    • Added a new property to the build configuration for vision models.
    • Introduced a new optional environment variable VISION_MODELS for user-defined vision capabilities.
  • Bug Fixes

    • Improved the logic for determining vision models, making it more robust and flexible.
  • Documentation

    • Expanded documentation in README.md, README_CN.md, and README_JA.md to include the new VISION_MODELS environment variable with examples and clarifications.

…ies to models through env var NEXT_PUBLIC_VISION_MODELS.
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Walkthrough

The changes in this pull request introduce two new constants in app/constant.ts for identifying vision models using regular expressions. The VISION_MODEL_REGEXES constant contains patterns for various vision models, while EXCLUDE_VISION_MODEL_REGEXES specifies a regex to exclude a particular model. Additionally, the isVisionModel function in app/utils.ts has been updated to utilize these new constants and to retrieve model identifiers from an environment variable, enhancing the flexibility and robustness of model identification.

Changes

File Change Summary
app/constant.ts Added constants: VISION_MODEL_REGEXES (array of regex patterns for vision models) and EXCLUDE_VISION_MODEL_REGEXES (regex to exclude a specific model).
app/utils.ts Updated isVisionModel function to use environment variable VISION_MODELS for model identifiers and incorporated new regex constants for model identification.
test/vision-model-checker.test.ts Introduced a new test suite for isVisionModel with multiple test cases covering identification, exclusion, environment variable handling, and edge cases.
app/config/build.ts Added property: visionModels to the return type of getBuildConfig function, sourced from process.env.VISION_MODELS.
README.md Updated documentation to include the new optional environment variable VISION_MODELS with usage examples.
README_CN.md Added new optional environment variable VISION_MODELS with examples and enhanced formatting for clarity.
README_JA.md Introduced new optional environment variable VISION_MODELS with examples and improved documentation structure.

Possibly related PRs

  • Change gpt summary model to gpt-4o-mini #5063: This PR modifies the app/constant.ts file, which is also where the main PR introduces new constants related to vision models, indicating a direct connection in terms of file and functionality.
  • Update google models to add gemini-2.0 #5932: This PR updates the app/utils.ts file, which includes changes to the isVisionModel function that now utilizes the new constants introduced in the main PR for identifying vision models, establishing a clear relationship between the two.

Suggested reviewers

  • lloydzhou

🐰 In the land of code where rabbits play,
New constants hop in, brightening the day.
With regex patterns, they dance and they twirl,
Excluding the models that make our heads whirl.
In utils, we fetch from the environment's chest,
Flexibility blooms, and we code with zest! 🌟

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Actionable comments posted: 2

🧹 Outside diff range and nitpick comments (1)
app/utils.ts (1)

263-264: Add Unit Tests for isVisionModel Function

To ensure that the isVisionModel function correctly identifies vision models, consider adding unit tests that cover various model names, including edge cases and potential false positives or negatives.

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📒 Files selected for processing (2)
  • app/constant.ts (1 hunks)
  • app/utils.ts (2 hunks)
🔇 Additional comments (1)
app/constant.ts (1)

307-308: Ensure EXCLUDE_VISION_MODEL_REGEXES Accurately Excludes Intended Models

Verify that /claude-3-5-haiku-20241022/ precisely matches and excludes only the specific model "claude-3-5-haiku-20241022" without affecting other models named similarly.

Apply this diff to clarify the intent:

 export const EXCLUDE_VISION_MODEL_REGEXES = [
-  /claude-3-5-haiku-20241022/
+  /^claude-3-5-haiku-20241022$/
 ];

This change ensures that only the exact model name is excluded.

app/utils.ts Outdated Show resolved Hide resolved
app/constant.ts Outdated
Comment on lines 294 to 305
export const VISION_MODEL_REGEXES = [
/vision/,
/gpt-4o/,
/claude-3/,
/gemini-1\.5/,
/gemini-exp/,
/learnlm/,
/qwen-vl/,
/qwen2-vl/,
/gpt-4-turbo(?!.*preview)/, // Matches "gpt-4-turbo" but not "gpt-4-turbo-preview"
/^dall-e-3$/, // Matches exactly "dall-e-3"
];
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💡 Codebase verification

Let me generate the final response based on the test results.

Regex Patterns in VISION_MODEL_REGEXES Need Adjustments

The test results reveal some issues with the regex patterns:

  • The /gpt-4-turbo(?!.*preview)/ pattern is not working as intended in bash regex - it's not matching "gpt-4-turbo" as expected
  • The /gemini-1\.5/ pattern works correctly, matching "gemini-1.5-pro"
  • The /^dall-e-3$/ pattern works as expected, matching exactly "dall-e-3" but not "dall-e-3-beta"

Consider:

  • Using a simpler negative pattern for gpt-4-turbo, like ^gpt-4-turbo$ to match exactly "gpt-4-turbo"
  • Adding test cases for other patterns (vision, gpt-4o, claude-3, etc.) to ensure they match their intended targets
🔗 Analysis chain

Verify Correctness of VISION_MODEL_REGEXES Patterns

Ensure that each regex in VISION_MODEL_REGEXES accurately matches the intended vision models without unintended matches. Pay special attention to:

  • /gemini-1\.5/: Confirm that the backslash is correctly escaping the dot to match gemini-1.5.
  • /gpt-4-turbo(?!.*preview)/: Ensure that this pattern matches "gpt-4-turbo" but not "gpt-4-turbo-preview".

Run the following script to test the regex patterns against a list of model names:

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Test VISION_MODEL_REGEXES against existing model names

# Define model names for testing
model_names=(
  "gpt-4-turbo"
  "gpt-4-turbo-preview"
  "gemini-1.5-pro"
  "gemini-1x5-pro"
  "dall-e-3"
  "dall-e-3-beta"
)

# Define regex patterns
regex_patterns=(
  "vision"
  "gpt-4o"
  "claude-3"
  "gemini-1\\.5"
  "gemini-exp"
  "learnlm"
  "qwen-vl"
  "qwen2-vl"
  "gpt-4-turbo(?!.*preview)"
  "^dall-e-3$"
)

# Test each model name against each regex
for model in "${model_names[@]}"; do
  for pattern in "${regex_patterns[@]}"; do
    if [[ $model =~ $pattern ]]; then
      echo "Model '$model' matches regex '$pattern'"
    fi
  done
done

Length of output: 5253

@Yiming3 Yiming3 changed the title feat: use regex patterns for vision models and allow adding capabilit… feat: runtime configuration of vision-capable models Dec 10, 2024
@Dogtiti
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Dogtiti commented Dec 20, 2024

please add unit test and solve the conflicts

@Yiming3
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Yiming3 commented Dec 21, 2024

please add unit test and solve the conflicts

Thanks for the feedback. Solved merge conflicts and added unit tests.

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Actionable comments posted: 2

🧹 Nitpick comments (4)
test/vision-model-checker.test.ts (4)

4-13: Consider more robust environment variable handling.

While the current setup is good, consider using a more thorough environment cleanup to prevent test pollution.

 beforeEach(() => {
   jest.resetModules();
-  process.env = { ...originalEnv };
+  process.env = JSON.parse(JSON.stringify(originalEnv));
 });

 afterEach(() => {
-  process.env = originalEnv;
+  process.env = JSON.parse(JSON.stringify(originalEnv));
 });

15-32: Consider adding edge cases and more specific test descriptions.

While the current test covers various model patterns well, consider:

  1. Adding edge cases (empty string, null, undefined)
  2. Using more descriptive test names for each model type
  3. Adding version-specific test cases for models like gemini-1.5-pro vs gemini-2.0
-test("should identify vision models using regex patterns", () => {
+test.each([
+  ["gpt-4-vision", "GPT-4 Vision model"],
+  ["claude-3-opus", "Claude 3 Opus model"],
+  ["gemini-1.5-pro", "Gemini 1.5 Pro model"],
+  // ... other models
+])("should identify %s as vision model (%s)", (model, description) => {
+  expect(isVisionModel(model)).toBe(true);
+});
+
+test("should handle edge cases", () => {
+  expect(isVisionModel("")).toBe(false);
+  expect(isVisionModel(null)).toBe(false);
+  expect(isVisionModel(undefined)).toBe(false);
+});

38-49: Enhance non-vision models test coverage.

The test covers basic cases but could be improved for better maintainability and coverage.

-test("should not identify non-vision models", () => {
-  const nonVisionModels = [
-    "gpt-3.5-turbo",
-    "gpt-4-turbo-preview",
-    "claude-2",
-    "regular-model",
-  ];
-
-  nonVisionModels.forEach((model) => {
-    expect(isVisionModel(model)).toBe(false);
-  });
-});
+test.each([
+  ["gpt-3.5-turbo", "Standard GPT-3.5"],
+  ["gpt-4-turbo-preview", "Preview GPT-4"],
+  ["claude-2", "Standard Claude 2"],
+  ["gpt-4-0125-preview", "Specific version preview"],
+  ["regular-model", "Generic model name"],
+])("should not identify %s as vision model (%s)", (model, description) => {
+  expect(isVisionModel(model)).toBe(false);
+});

51-66: Add more comprehensive environment variable tests.

Consider adding tests for:

  1. Malformed environment variable values
  2. Mixed valid and invalid model names
  3. Whitespace handling
+  test("should handle malformed NEXT_PUBLIC_VISION_MODELS", () => {
+    // Test malformed values
+    process.env.NEXT_PUBLIC_VISION_MODELS = "model1,,model2, model3 ";
+    expect(isVisionModel("model1")).toBe(true);
+    expect(isVisionModel("model2")).toBe(true);
+    expect(isVisionModel("model3")).toBe(true);
+    
+    // Test invalid format
+    process.env.NEXT_PUBLIC_VISION_MODELS = "{}";
+    expect(isVisionModel("model1")).toBe(false);
+  });
🧰 Tools
🪛 Biome (1.9.4)

[error] 63-63: Avoid the delete operator which can impact performance.

Unsafe fix: Use an undefined assignment instead.

(lint/performance/noDelete)

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test/vision-model-checker.test.ts

[error] 63-63: Avoid the delete operator which can impact performance.

Unsafe fix: Use an undefined assignment instead.

(lint/performance/noDelete)

Comment on lines 63 to 64
delete process.env.NEXT_PUBLIC_VISION_MODELS;
expect(isVisionModel("unrelated-model")).toBe(false);
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🛠️ Refactor suggestion

Replace delete operator with undefined assignment.

The delete operator can impact performance as flagged by static analysis.

-    delete process.env.NEXT_PUBLIC_VISION_MODELS;
-    expect(isVisionModel("unrelated-model")).toBe(false);
+    process.env.NEXT_PUBLIC_VISION_MODELS = undefined;
+    expect(isVisionModel("unrelated-model")).toBe(false);
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
delete process.env.NEXT_PUBLIC_VISION_MODELS;
expect(isVisionModel("unrelated-model")).toBe(false);
process.env.NEXT_PUBLIC_VISION_MODELS = undefined;
expect(isVisionModel("unrelated-model")).toBe(false);
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[error] 63-63: Avoid the delete operator which can impact performance.

Unsafe fix: Use an undefined assignment instead.

(lint/performance/noDelete)

Comment on lines +34 to +36
test("should exclude specific models", () => {
expect(isVisionModel("claude-3-5-haiku-20241022")).toBe(false);
});
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🛠️ Refactor suggestion

Enhance exclusion testing with more patterns and documentation.

The current test is too specific. Consider:

  1. Adding more exclusion patterns
  2. Documenting why certain models are excluded
  3. Using test.each for better readability
-test("should exclude specific models", () => {
-  expect(isVisionModel("claude-3-5-haiku-20241022")).toBe(false);
-});
+test.each([
+  // Models excluded due to specific version constraints
+  ["claude-3-5-haiku-20241022", "Haiku variant without vision capabilities"],
+  // Add more excluded models with reasons
+])("should exclude %s (%s)", (model, reason) => {
+  expect(isVisionModel(model)).toBe(false);
+});

Committable suggestion skipped: line range outside the PR's diff.

app/utils.ts Outdated Show resolved Hide resolved
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Actionable comments posted: 2

🧹 Nitpick comments (2)
app/config/build.ts (1)

43-43: Add JSDoc comment to document the visionModels property.

Consider adding documentation to explain the purpose and expected format of this configuration property.

+    /** Comma-separated list of additional vision model identifiers */
     visionModels: process.env.VISION_MODELS || "",
test/vision-model-checker.test.ts (1)

15-32: Enhance test organization using test.each.

Consider using test.each for better readability and maintenance:

-  test("should identify vision models using regex patterns", () => {
-    const visionModels = [
-      "gpt-4-vision",
-      "claude-3-opus",
-      "gemini-1.5-pro",
-      "gemini-2.0",
-      "gemini-exp-vision",
-      "learnlm-vision",
-      "qwen-vl-max",
-      "qwen2-vl-max",
-      "gpt-4-turbo",
-      "dall-e-3",
-    ];
-
-    visionModels.forEach((model) => {
-      expect(isVisionModel(model)).toBe(true);
-    });
+  test.each([
+    ["gpt-4-vision", "OpenAI vision model"],
+    ["claude-3-opus", "Anthropic vision model"],
+    ["gemini-1.5-pro", "Google vision model"],
+    ["gemini-2.0", "Google vision model"],
+    ["gemini-exp-vision", "Google experimental vision model"],
+    ["learnlm-vision", "Custom vision model"],
+    ["qwen-vl-max", "Qwen vision model"],
+    ["qwen2-vl-max", "Qwen2 vision model"],
+    ["gpt-4-turbo", "OpenAI turbo model"],
+    ["dall-e-3", "OpenAI image generation model"],
+  ])("should identify %s as vision model (%s)", (model, description) => {
+    expect(isVisionModel(model)).toBe(true);
+  });
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📒 Files selected for processing (4)
  • app/config/build.ts (1 hunks)
  • app/constant.ts (1 hunks)
  • app/utils.ts (2 hunks)
  • test/vision-model-checker.test.ts (1 hunks)
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  • app/utils.ts
  • app/constant.ts
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test/vision-model-checker.test.ts

[error] 63-63: Avoid the delete operator which can impact performance.

Unsafe fix: Use an undefined assignment instead.

(lint/performance/noDelete)

🔇 Additional comments (1)
test/vision-model-checker.test.ts (1)

63-63: Replace delete operator with undefined assignment.

The delete operator can impact performance as flagged by static analysis.

-    delete process.env.VISION_MODELS;
+    process.env.VISION_MODELS = undefined;
🧰 Tools
🪛 Biome (1.9.4)

[error] 63-63: Avoid the delete operator which can impact performance.

Unsafe fix: Use an undefined assignment instead.

(lint/performance/noDelete)

@@ -40,6 +40,7 @@ export const getBuildConfig = () => {
buildMode,
isApp,
template: process.env.DEFAULT_INPUT_TEMPLATE ?? DEFAULT_INPUT_TEMPLATE,
visionModels: process.env.VISION_MODELS || "",
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⚠️ Potential issue

Environment variable name mismatch with PR objectives.

The PR objectives mention NEXT_PUBLIC_VISION_MODELS, but the code uses VISION_MODELS. This inconsistency should be resolved.

-    visionModels: process.env.VISION_MODELS || "",
+    visionModels: process.env.NEXT_PUBLIC_VISION_MODELS || "",
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
visionModels: process.env.VISION_MODELS || "",
visionModels: process.env.NEXT_PUBLIC_VISION_MODELS || "",

Comment on lines +1 to +67
import { isVisionModel } from "../app/utils";

describe("isVisionModel", () => {
const originalEnv = process.env;

beforeEach(() => {
jest.resetModules();
process.env = { ...originalEnv };
});

afterEach(() => {
process.env = originalEnv;
});

test("should identify vision models using regex patterns", () => {
const visionModels = [
"gpt-4-vision",
"claude-3-opus",
"gemini-1.5-pro",
"gemini-2.0",
"gemini-exp-vision",
"learnlm-vision",
"qwen-vl-max",
"qwen2-vl-max",
"gpt-4-turbo",
"dall-e-3",
];

visionModels.forEach((model) => {
expect(isVisionModel(model)).toBe(true);
});
});

test("should exclude specific models", () => {
expect(isVisionModel("claude-3-5-haiku-20241022")).toBe(false);
});

test("should not identify non-vision models", () => {
const nonVisionModels = [
"gpt-3.5-turbo",
"gpt-4-turbo-preview",
"claude-2",
"regular-model",
];

nonVisionModels.forEach((model) => {
expect(isVisionModel(model)).toBe(false);
});
});

test("should identify models from VISION_MODELS env var", () => {
process.env.VISION_MODELS = "custom-vision-model,another-vision-model";

expect(isVisionModel("custom-vision-model")).toBe(true);
expect(isVisionModel("another-vision-model")).toBe(true);
expect(isVisionModel("unrelated-model")).toBe(false);
});

test("should handle empty or missing VISION_MODELS", () => {
process.env.VISION_MODELS = "";
expect(isVisionModel("unrelated-model")).toBe(false);

delete process.env.VISION_MODELS;
expect(isVisionModel("unrelated-model")).toBe(false);
expect(isVisionModel("gpt-4-vision")).toBe(true);
});
});
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🛠️ Refactor suggestion

Add missing edge case tests.

Consider adding tests for the following edge cases:

  1. Model names with special characters
  2. Case sensitivity handling
  3. Empty string input
  4. Null/undefined input
+  test.each([
+    ["", "empty string"],
+    [null, "null input"],
+    [undefined, "undefined input"],
+    ["GPT-4-VISION", "uppercase input"],
+    ["gpt-4-vision!", "special characters"],
+  ])("should handle edge case: %s (%s)", (input, description) => {
+    expect(() => isVisionModel(input)).not.toThrow();
+  });

Committable suggestion skipped: line range outside the PR's diff.

🧰 Tools
🪛 Biome (1.9.4)

[error] 63-63: Avoid the delete operator which can impact performance.

Unsafe fix: Use an undefined assignment instead.

(lint/performance/noDelete)

@Yiming3 Yiming3 requested a review from Dogtiti December 21, 2024 09:02
@Dogtiti Dogtiti self-requested a review December 21, 2024 09:42
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Dogtiti commented Dec 21, 2024

更新一下所有README文档 给一个使用示例

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Update all README documents and give a usage example

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Yiming3 commented Dec 21, 2024

更新一下所有README文档 给一个使用示例

好的,已经更新

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Update all README documents and give a usage example

OK, updated

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Actionable comments posted: 0

🧹 Nitpick comments (1)
README.md (1)

358-364: Enhance documentation clarity for VISION_MODELS.

The documentation would benefit from these improvements:

  1. Add a period after "etc" in the example description
  2. Clarify the interaction between explicit listings and pattern matching
### `VISION_MODELS` (optional)

> Default: Empty
> Example: `gpt-4-vision,claude-3-opus,my-custom-model` means add vision capabilities to these models in addition to the default pattern matches (which detect models containing keywords like "vision", "claude-3", "gemini-1.5", etc.).

-Add additional models to have vision capabilities, beyond the default pattern matching. Multiple models should be separated by commas.
+Specify additional models to enable vision capabilities beyond the default pattern matching. The default patterns automatically detect models containing keywords like "vision", "claude-3", and "gemini-1.5". Use this variable to explicitly add more models, separating multiple entries with commas.
🧰 Tools
🪛 LanguageTool

[style] ~361-~361: In American English, abbreviations like “etc.” require a period.
Context: ...ike "vision", "claude-3", "gemini-1.5", etc). Add additional models to have vision...

(ETC_PERIOD)

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 149d732 and a127ae1.

📒 Files selected for processing (4)
  • README.md (1 hunks)
  • README_CN.md (1 hunks)
  • README_JA.md (1 hunks)
  • app/utils.ts (2 hunks)
🧰 Additional context used
🪛 LanguageTool
README.md

[style] ~361-~361: In American English, abbreviations like “etc.” require a period.
Context: ...ike "vision", "claude-3", "gemini-1.5", etc). Add additional models to have vision...

(ETC_PERIOD)

🔇 Additional comments (4)
app/utils.ts (2)

8-8: LGTM: Clean import of vision model regex constants

The import statement is well-structured and follows the project's import style.


257-266: Verify the model detection logic

The implementation combines environment-based configuration with regex pattern matching, providing flexibility in model detection. However, let's verify the behavior when clientConfig is undefined or when visionModels is empty.

Run the following script to check the usage:

✅ Verification successful

Let me generate one more verification script to check the implementation of getClientConfig and its usage:

This will help us understand how getClientConfig handles undefined cases and how the visionModels property is defined in the type system.


Vision model detection logic is properly implemented and handles edge cases

The implementation is robust and handles undefined/empty cases correctly:

  • When clientConfig is undefined (empty JSON from queryMeta), the code gracefully falls back to regex-based detection
  • When visionModels is empty, the logic correctly falls back to regex patterns
  • Test cases explicitly verify empty/missing scenarios
  • The regex patterns in VISION_MODEL_REGEXES and EXCLUDE_VISION_MODEL_REGEXES provide a reliable fallback mechanism
  • The implementation is consistently used across different platform integrations (OpenAI, Anthropic, Google, Tencent)
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify the vision model detection implementation
# Test: Search for all usages of isVisionModel and the patterns defined in constants
# Expect: Consistent usage of the function and well-defined patterns

# Check the constant definitions
echo "Checking vision model regex patterns..."
rg "VISION_MODEL_REGEXES.*=.*\\[" -A 5

# Check all usages of isVisionModel
echo "Checking isVisionModel usage..."
rg "isVisionModel\\(" -A 2

# Check the client config implementation
echo "Checking client config implementation..."
rg "visionModels.*=" -A 2

Length of output: 3968


Script:

#!/bin/bash
# Check getClientConfig implementation and usage
echo "Checking getClientConfig implementation..."
ast-grep --pattern 'function getClientConfig() {
  $$$
}'

echo "Checking ClientConfig type definition..."
rg "type ClientConfig.*{" -A 10

echo "Checking environment variable usage..."
rg "VISION_MODELS.*=" -A 2

Length of output: 1661

README_CN.md (1)

238-244: LGTM: Well-documented environment variable

The documentation for VISION_MODELS is clear, comprehensive, and includes:

  • Default value
  • Usage examples
  • Clear explanation of how it complements the default pattern matching
README_JA.md (1)

220-226: LGTM: Consistent documentation in Japanese

The Japanese documentation for VISION_MODELS maintains consistency with other language versions while providing clear, localized explanations.

@Dogtiti Dogtiti merged commit 1d15666 into ChatGPTNextWeb:main Dec 22, 2024
1 check failed
@Yootonn
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Yootonn commented Dec 22, 2024

Yo! good job 👍 I like for You and alias to your provide and support project @pleasestartconnectGeminiGeneralbot♊️update🩷

@Yootonn
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Yootonn commented Dec 22, 2024

Actionable comments posted: 0

🧹 Nitpick comments (1)
README.md (1)

358-364: Enhance documentation clarity for VISION_MODELS.

The documentation would benefit from these improvements:

  1. Add a period after "etc" in the example description
  2. Clarify the interaction between explicit listings and pattern matching
### `VISION_MODELS` (optional)

> Default: Empty
> Example: `gpt-4-vision,claude-3-opus,my-custom-model` means add vision capabilities to these models in addition to the default pattern matches (which detect models containing keywords like "vision", "claude-3", "gemini-1.5", etc.).

-Add additional models to have vision capabilities, beyond the default pattern matching. Multiple models should be separated by commas.
+Specify additional models to enable vision capabilities beyond the default pattern matching. The default patterns automatically detect models containing keywords like "vision", "claude-3", and "gemini-1.5". Use this variable to explicitly add more models, separating multiple entries with commas.
🧰 Tools
🪛 LanguageTool

[style] ~361-~361: In American English, abbreviations like “etc.” require a period.
Context: ...ike "vision", "claude-3", "gemini-1.5", etc). Add additional models to have vision...

(ETC_PERIOD)

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 149d732 and a127ae1.

📒 Files selected for processing (4)
  • README.md (1 hunks)
  • README_CN.md (1 hunks)
  • README_JA.md (1 hunks)
  • app/utils.ts (2 hunks)
🧰 Additional context used
🪛 LanguageTool
README.md

[style] ~361-~361: In American English, abbreviations like “etc.” require a period.
Context: ...ike "vision", "claude-3", "gemini-1.5", etc). Add additional models to have vision...

(ETC_PERIOD)

🔇 Additional comments (4)
app/utils.ts (2)

8-8: LGTM: Clean import of vision model regex constants

The import statement is well-structured and follows the project's import style.


257-266: Verify the model detection logic

The implementation combines environment-based configuration with regex pattern matching, providing flexibility in model detection. However, let's verify the behavior when clientConfig is undefined or when visionModels is empty.

Run the following script to check the usage:

✅ Verification successful

Let me generate one more verification script to check the implementation of getClientConfig and its usage:

This will help us understand how getClientConfig handles undefined cases and how the visionModels property is defined in the type system.


Vision model detection logic is properly implemented and handles edge cases

The implementation is robust and handles undefined/empty cases correctly:

  • When clientConfig is undefined (empty JSON from queryMeta), the code gracefully falls back to regex-based detection
  • When visionModels is empty, the logic correctly falls back to regex patterns
  • Test cases explicitly verify empty/missing scenarios
  • The regex patterns in VISION_MODEL_REGEXES and EXCLUDE_VISION_MODEL_REGEXES provide a reliable fallback mechanism
  • The implementation is consistently used across different platform integrations (OpenAI, Anthropic, Google, Tencent)
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify the vision model detection implementation
# Test: Search for all usages of isVisionModel and the patterns defined in constants
# Expect: Consistent usage of the function and well-defined patterns

# Check the constant definitions
echo "Checking vision model regex patterns..."
rg "VISION_MODEL_REGEXES.*=.*\\[" -A 5

# Check all usages of isVisionModel
echo "Checking isVisionModel usage..."
rg "isVisionModel\\(" -A 2

# Check the client config implementation
echo "Checking client config implementation..."
rg "visionModels.*=" -A 2

Length of output: 3968


Script:

#!/bin/bash
# Check getClientConfig implementation and usage
echo "Checking getClientConfig implementation..."
ast-grep --pattern 'function getClientConfig() {
  $$$
}'

echo "Checking ClientConfig type definition..."
rg "type ClientConfig.*{" -A 10

echo "Checking environment variable usage..."
rg "VISION_MODELS.*=" -A 2

Length of output: 1661

README_CN.md (1)

238-244: LGTM: Well-documented environment variable

The documentation for VISION_MODELS is clear, comprehensive, and includes:

  • Default value
  • Usage examples
  • Clear explanation of how it complements the default pattern matching
README_JA.md (1)

220-226: LGTM: Consistent documentation in Japanese

The Japanese documentation for VISION_MODELS maintains consistency with other language versions while providing clear, localized explanations.

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4 participants