fix: add missing capability flags to vercel_ai_gateway models

[krauckbot]

Problem

67 vercel_ai_gateway/* models are missing capability flags. For example:

• vercel_ai_gateway/anthropic/claude-3.5-sonnet has zero capability flags
• vercel_ai_gateway/openai/gpt-5 has zero capability flags
• vercel_ai_gateway/google/gemini-2.5-pro has zero capability flags

This causes issues when:

1. Router tries to filter by capabilities (e.g., vision, function calling)
2. Users rely on litellm.supports_vision() or similar checks
3. Capability-based model selection fails to include Vercel AI Gateway models

Solution

Added capability flags to 67 vercel_ai_gateway models by inferring from corresponding direct provider entries:

Provider	Models Fixed
Anthropic (Claude)	6
OpenAI (GPT)	15
Google (Gemini)	8
xAI (Grok)	6
Mistral	5
DeepSeek	4
Others	23

Capabilities Added

• supports_vision
• supports_function_calling
• supports_tool_choice
• supports_response_schema

Methodology

For each vercel_ai_gateway/provider/model, found the matching direct provider entry and copied its capability flags. This ensures Vercel AI Gateway models report the same capabilities as their underlying models.

Testing

• JSON validation passes
• No capabilities were removed, only added
• All inferred capabilities match documented model features

[vercel]

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Project	Deployment	Actions	Updated (UTC)
litellm	Ready	Preview, Comment	Feb 2, 2026 3:21pm

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[greptile-apps]

Greptile Overview

Greptile Summary

Added capability flags (supports_vision, supports_function_calling, supports_tool_choice, supports_response_schema) to 67 vercel_ai_gateway/* models by copying from their corresponding direct provider entries. This enables router capability filtering and fixes litellm.supports_vision() checks for Vercel AI Gateway models.

Key changes:

• Anthropic Claude models: Added 4 capabilities to 5 models, 2 capabilities to 1 model
• OpenAI models: Added capabilities to 15 models (GPT-4.x, o-series)
• Google Gemini models: Added 4 capabilities to 8 models
• xAI Grok models: Added capabilities to 6 models
• Mistral models: Added capabilities to 11 models
• DeepSeek models: Added capabilities to 4 models
• Meta Llama models: Added capabilities to 10 models
• Other providers: Added capabilities to remaining models

Issue found:

• vercel_ai_gateway/anthropic/claude-4-sonnet is missing supports_vision and supports_response_schema that the base model has

Confidence Score: 4/5

• Safe to merge after fixing the missing capabilities for claude-4-sonnet
• The PR successfully adds capability flags to 67 models with correct inference from base models, but one model (claude-4-sonnet) is incomplete with 2 missing capability flags out of 4
• model_prices_and_context_window.json:27973 - claude-4-sonnet needs supports_vision and supports_response_schema added

Important Files Changed

Filename	Overview
model_prices_and_context_window.json	Added 181 capability flags to 67 vercel_ai_gateway models, one model missing 2 capabilities

Sequence Diagram

sequenceDiagram
    participant Dev as Developer
    participant Config as model_prices_and_context_window.json
    participant Router as LiteLLM Router
    participant Check as Capability Check

    Dev->>Config: Add capability flags to 67 vercel_ai_gateway models
    Note over Config: supports_vision<br/>supports_function_calling<br/>supports_tool_choice<br/>supports_response_schema
    
    Router->>Config: Filter models by capability (e.g., vision=true)
    Config-->>Router: Return matching models (now includes vercel_ai_gateway)
    
    Check->>Config: litellm.supports_vision("vercel_ai_gateway/openai/gpt-4o")
    Config-->>Check: true (previously would be false/undefined)
    
    Note over Router,Check: Enables capability-based model selection<br/>for Vercel AI Gateway models

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[greptile-apps]

_{1 file reviewed, 1 comment}

_{Edit Code Review Agent Settings | Greptile}

[greptile-apps]

missing supports_vision and supports_response_schema - the base claude-4-sonnet-20250514 model has all four capabilities (vision, function_calling, tool_choice, response_schema), but only two were added here

Suggested change

	"max_output_tokens": 64000,
	"max_tokens": 64000,
	"mode": "chat",
	"output_cost_per_token": 1.5e-05,
	"supports_vision": true,
	"supports_function_calling": true,
	"supports_tool_choice": true,
	"supports_response_schema": true

Prompt To Fix With AI

This is a comment left during a code review.
Path: model_prices_and_context_window.json
Line: 27973:27975

Comment:
missing `supports_vision` and `supports_response_schema` - the base `claude-4-sonnet-20250514` model has all four capabilities (vision, function_calling, tool_choice, response_schema), but only two were added here

```suggestion
        "output_cost_per_token": 1.5e-05,
        "supports_vision": true,
        "supports_function_calling": true,
        "supports_tool_choice": true,
        "supports_response_schema": true
```

How can I resolve this? If you propose a fix, please make it concise.