Add Venice.ai #335
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Add Venice.ai #335
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Reviewer's Guide by SourceryThis pull request introduces support for Venice.ai as a new provider. It includes changes to the API, configuration, UI components, and environment variables to accommodate the new provider. Sequence diagram for Venice.ai chat completion flowsequenceDiagram
participant C as Client
participant A as API Route
participant V as Venice.ai API
C->>A: POST /api/chat/messages
Note over A: Create OpenAI client<br/>with Venice.ai config
A->>V: Create chat completion
V-->>A: Stream response
A-->>C: Stream text response
Class diagram for Venice provider settingsclassDiagram
class ProviderSetting {
+Amazon AmazonSettings
+Anthropic AnthropicSettings
+Azure AzureSettings
+Claude ClaudeSettings
+Cohere CohereSettings
+Google GoogleSettings
+HuggingFace HuggingFaceSettings
+Mistral MistralSettings
+OpenAI OpenAISettings
+Perplexity PerplexitySettings
+Venice VeniceSettings
+Custom CustomSettings
}
class VeniceSettings {
+String apiKey
+String endpoint
}
ProviderSetting *-- VeniceSettings
File-Level Changes
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Hey @mariodian - I've reviewed your changes - here's some feedback:
Overall Comments:
- There appears to be duplicate Venice API implementation in both
route.tsandvenice/route.ts. Consider consolidating these into a single implementation to avoid maintenance issues.
Here's what I looked at during the review
- 🟡 General issues: 1 issue found
- 🟢 Security: all looks good
- 🟢 Testing: all looks good
- 🟢 Complexity: all looks good
- 🟢 Documentation: all looks good
Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
| const response = await venice.chat.completions.create({ | ||
| model: config.model.model_id, | ||
| stream: true, | ||
| max_tokens: 4096, |
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suggestion: max_tokens should be configurable through the config object
Consider making max_tokens configurable through the config object rather than hardcoding it. This value is duplicated in venice/route.ts as well.
Suggested implementation:
const response = await venice.chat.completions.create({
model: config.model.model_id,
stream: true,
max_tokens: config.model.max_tokens,
messages,
});You'll also need to:
- Update the config type definition to include max_tokens in the model configuration
- Update any config files or objects to include the max_tokens value
- Update venice/route.ts to use the same config.model.max_tokens instead of its hardcoded value
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The PR adds support for https://venice.ai
Summary by Sourcery
New Features: