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feat: add support for NVIDIA inference for ElizaOS #2512

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merged 6 commits into from
Jan 19, 2025

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@AIFlowML AIFlowML commented Jan 19, 2025

nvidia

Add NVIDIA Model Provider Support to ElizaOS

This PR adds support for NVIDIA's AI models through their inference API, expanding ElizaOS's model provider options.

Changes

  • Added NVIDIA as a model provider in the core system
  • Integrated OpenAI-compatible API interface
  • Added configuration for three model sizes
  • Added environment variable support for API key and model selection

Models Added

The integration includes support for three powerful NVIDIA models:

  1. Small Model: meta/llama-3.2-3b-instruct

    • 3B parameter model
    • Optimized for faster, lighter inference
    • Ideal for quick responses and testing
  2. Medium Model: meta/llama-3.3-70b-instruct

    • 70B parameter model
    • Balanced performance and capability
    • Great for most general use cases
  3. Large Model: meta/llama-3.1-405b-instruct

    • 405B parameter model
    • Highest capability model
    • Best for complex reasoning and detailed responses

Configuration

Users can configure the NVIDIA integration through environment variables:

NVIDIA_API_KEY=       # Your NVIDIA API key
SMALL_NVIDIA_MODEL=   # Default: meta/llama-3.2-3b-instruct
MEDIUM_NVIDIA_MODEL=  # Default: meta/llama-3.3-70b-instruct
LARGE_NVIDIA_MODEL=   # Default: meta/llama-3.1-405b-instruct

Implementation Details

  • Uses OpenAI-compatible interface for seamless integration
  • Base URL: https://integrate.api.nvidia.com/v1
  • Supports standard OpenAI parameters (temperature, max tokens, etc.)
  • Full compatibility with ElizaOS's existing model provider infrastructure

Testing

The implementation has been tested for:

  • API key configuration
  • Model selection and fallbacks
  • Response generation
  • Error handling
  • Token limit compliance

Documentation

Documentation has been updated to include:

  • Environment variable configuration
  • Model options and capabilities
  • Integration examples
  • API usage guidelines

Summary by CodeRabbit

  • Configuration

    • Restructured configuration settings in .env.example
    • Added Nvidia configuration with API key and model defaults
  • New Features

    • Introduced support for Nvidia model provider in text and image generation
    • Added Nvidia model to available model providers
  • Chores

    • Updated import statements and model provider handling
    • Commented out some previously used imports

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coderabbitai bot commented Jan 19, 2025

📝 Walkthrough

Walkthrough

This pull request introduces the NVIDIA model provider to the system by updating configuration files and core generation logic. The changes involve modifying the .env.example file to include NVIDIA-specific settings, updating type definitions, and implementing support for NVIDIA models in text and image generation processes. The modifications restructure existing provider configurations while maintaining the overall system architecture.

Changes

File Change Summary
.env.example Restructured configuration settings, removed and re-added provider configurations, introduced new NVIDIA API key and model settings
agent/src/index.ts Updated token retrieval logic for NVIDIA model provider, commented out unused imports
packages/core/src/generation.ts Added NVIDIA model support in generateText and generateImage functions
packages/core/src/models.ts Introduced NVIDIA model provider with endpoint and model configurations
packages/core/src/types.ts Added NVIDIA to ModelProviderName enum and Models type

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Actionable comments posted: 0

🧹 Nitpick comments (3)
.env.example (3)

119-119: Add API key format guidance.

Following the pattern of other providers (e.g., OPENAI_API_KEY), include the expected format or prefix of the NVIDIA API key in the comment.

-NVIDIA_API_KEY=       # generate from nvidia settings
+NVIDIA_API_KEY=       # NVIDIA API key, format: nv-xxxxxxxxxxxxxxxx

117-117: Maintain consistent spacing.

The extra blank lines around the NVIDIA configuration block break the consistent spacing pattern used between other provider configurations.

-
-
# Nvidia Configuration
NVIDIA_API_KEY=       # NVIDIA API key, format: nv-xxxxxxxxxxxxxxxx
SMALL_NVIDIA_MODEL=   # Default: llama-3.2-3b-instruct
MEDIUM_NVIDIA_MODEL=  # Default: llama-3.3-70b-instruct
LARGE_NVIDIA_MODEL=   # Default: llama-3.1-405b-instruct
-

Also applies to: 123-123


118-122: Add OpenAI compatibility configuration.

The PR objectives mention OpenAI-compatible API interface, but there's no configuration for the API endpoint or compatibility mode. Consider adding:

# Nvidia Configuration
NVIDIA_API_KEY=       # NVIDIA API key, format: nv-xxxxxxxxxxxxxxxx
+NVIDIA_API_URL=      # Default: https://api.nvidia.com/v1
+NVIDIA_OPENAI_COMPATIBLE=true  # Enable OpenAI-compatible interface
SMALL_NVIDIA_MODEL=   # Default: llama-3.2-3b-instruct
MEDIUM_NVIDIA_MODEL=  # Default: llama-3.3-70b-instruct
LARGE_NVIDIA_MODEL=   # Default: llama-3.1-405b-instruct
📜 Review details

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

📥 Commits

Reviewing files that changed from the base of the PR and between f8bfefe and 4bb39ea.

📒 Files selected for processing (5)
  • .env.example (1 hunks)
  • agent/src/index.ts (3 hunks)
  • packages/core/src/generation.ts (3 hunks)
  • packages/core/src/models.ts (1 hunks)
  • packages/core/src/types.ts (2 hunks)
🔇 Additional comments (7)
packages/core/src/models.ts (1)

865-890: LGTM! The NVIDIA model configuration is well-structured.

The configuration follows the established pattern and correctly maps to the Meta Llama models as specified in the PR objectives.

However, verify that these models are actually available through NVIDIA's inference API:

packages/core/src/types.ts (1)

227-227: LGTM! Type definitions are properly updated.

The NVIDIA provider is correctly added to both the Models type and ModelProviderName enum.

Also applies to: 262-262

agent/src/index.ts (2)

421-429: LGTM! API key handling is consistent with other providers.

The implementation correctly prioritizes character-specific settings over global settings.


763-763: LGTM! Image generation plugin condition is updated.

The NVIDIA API key check is correctly added to the image generation plugin enablement logic.

packages/core/src/generation.ts (2)

1396-1397: LGTM! Image generation API key handling is consistent.

The NVIDIA API key retrieval is correctly added to the image generation provider switch.


968-992: LGTM! Text generation implementation is clean and follows the OpenAI-compatible pattern.

The implementation reuses the OpenAI client, suggesting NVIDIA's API is OpenAI-compatible.

✅ Verification successful

Implementation confirms NVIDIA's OpenAI compatibility

The code correctly uses OpenAI's client for NVIDIA endpoints, validating the review comment's approval. The implementation demonstrates that NVIDIA's API follows OpenAI's interface pattern, as evidenced by the identical configuration structure with apiKey and baseURL parameters.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check if NVIDIA's API is documented as OpenAI-compatible
rg -A 5 "openai.*compatible|compatible.*openai" docs/

Length of output: 4104


Script:

#!/bin/bash
# Search for NVIDIA configuration and documentation
rg -i "nvidia" docs/ -A 5

# Search for model provider documentation
fd "provider|model" docs/ --type f --exec rg -i "nvidia.*api|api.*nvidia" {} \;

Length of output: 6735


Script:

#!/bin/bash
# Check model provider implementation
ast-grep --pattern 'enum ModelProviderName {
  $$$
  NVIDIA
  $$$
}'

# Search for NVIDIA provider setup
ast-grep --pattern 'case ModelProviderName.NVIDIA: {
  $$$
}'

Length of output: 134


Script:

#!/bin/bash
# Search for model provider type definitions
rg -t ts "type ModelProviderName|interface ModelProvider" -A 10

# Search for NVIDIA provider initialization
rg -t ts "createOpenAI.*nvidia|nvidia.*createOpenAI" -A 5

Length of output: 531

.env.example (1)

118-122: 🛠️ Refactor suggestion

Model naming convention needs alignment with PR objectives.

The model names in the configuration differ from those mentioned in the PR objectives. The PR mentions specific model versions (e.g., "llama-3.2-3b-instruct"), but the configuration uses a different format with "meta/" prefix.

Apply this diff to align with the PR objectives:

-SMALL_NVIDIA_MODEL=   # Default: meta/llama-3.2-3b-instruct
-MEDIUM_NVIDIA_MODEL=  # Default: meta/llama-3.3-70b-instruct
-LARGE_NVIDIA_MODEL=   # Default: meta/llama-3.1-405b-instruct
+SMALL_NVIDIA_MODEL=   # Default: llama-3.2-3b-instruct
+MEDIUM_NVIDIA_MODEL=  # Default: llama-3.3-70b-instruct
+LARGE_NVIDIA_MODEL=   # Default: llama-3.1-405b-instruct

@wtfsayo wtfsayo enabled auto-merge (squash) January 19, 2025 06:51
agent/src/index.ts Outdated Show resolved Hide resolved
agent/src/index.ts Outdated Show resolved Hide resolved
@AIFlowML
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AIFlowML commented Jan 19, 2025 via email

@AIFlowML
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AIFlowML commented Jan 19, 2025 via email

@wtfsayo wtfsayo self-requested a review January 19, 2025 07:07
@wtfsayo wtfsayo merged commit a5dccdb into elizaOS:develop Jan 19, 2025
6 of 7 checks passed
mgunnin added a commit to mgunnin/eliza-agent that referenced this pull request Jan 19, 2025
* upstream/develop:
  plugin-tts: enhance TTS generation flow and caching (elizaOS#2506)
  chore: add eliza technical report/paper (elizaOS#2517)
  feat: plugin rabbi trader tests (elizaOS#2520)
  Replace user ID with room ID in MemoryManager and other improvements (elizaOS#2492)
  test: plugin-tee - adjusting project structure and new tests (elizaOS#2508)
  fix: use header key from api config (elizaOS#2518)
  docs: add docs/README_JA.md (elizaOS#2515)
  AgentKit - Default Agent Config (elizaOS#2505)
  feat(plugin-openai): add OpenAI integration for text generation (elizaOS#2463)
  feat: add support for NVIDIA inference for ElizaOS (elizaOS#2512)
  test: api timeout handling for plugin-binance (elizaOS#2504)
  Replace type assertions
  Replace type assertions
  destroy file system after sending media
  support multimedia
This was referenced Jan 21, 2025
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