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Add AI/Web3 integration bundle with adapters and container deployment#8

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Copilot wants to merge 4 commits intomasterfrom
copilot/add-ai-web3-integration-bundle
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Add AI/Web3 integration bundle with adapters and container deployment#8
Copilot wants to merge 4 commits intomasterfrom
copilot/add-ai-web3-integration-bundle

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Copilot AI commented Jan 20, 2026

Adds comprehensive integration stubs for AI, Web3, messaging, and data services with container deployment infrastructure. All dependencies are optional peerDependencies to avoid installation failures.

Adapter Stubs (TypeScript)

Factory pattern for environment-based configuration:

import { SDK } from './sdk';

const sdk = SDK.createFromEnv();
// Adapters: ai, web3, messaging, data

AI (sdk/ai/adapter.ts): OpenAI, Hugging Face, LangChain, LlamaIndex, vector stores (Pinecone, Weaviate, Chroma)
Web3 (sdk/web3/adapter.ts): EVM (ethers.js), Solana (@solana/web3.js, Anchor)
Messaging (sdk/messaging/adapter.ts): Slack, Discord
Data (sdk/data/adapter.ts): PostgreSQL, Redis, S3, IPFS

Container Deployment

.github/workflows/container-deploy.yml: Builds for ghcr.io with dev/stage/prod matrix. Triggers on master/main push and manual dispatch (single environment). Push disabled by default.

Multi-Language Support

sdk/{PYTHON,GO,RUST}_ADAPTERS.md: Implementation guides with package equivalents and code examples.

Environment Variables

All documented in README with .env.example template. Heavy/optional installs marked (transformers, vector stores, Anchor).

Configuration

  • Dependencies: Optional peerDependencies pattern avoids npm registry errors
  • TypeScript: Builds without requiring dependency installation
  • Tests: Smoke tests for config loader factory pattern
Original prompt

Add a full AI/Web3 integration bundle with adapters and container deployment hooks (matching other repos).

Scope:

  • Languages: Node/TypeScript primary; include notes/adapters for Python, Go, Rust (additive, minimal, no breaking changes).
  • AI deps: OpenAI SDK, Hugging Face transformers + inference client, LangChain, LlamaIndex, vector stores Pinecone + Weaviate + Chroma (mark heavy installs optional where appropriate), Linux compatibility notes.
  • Web3 deps: EVM (ethers.js), Solana (@solana/web3.js, anchor placeholders), extension points for other chains.
  • Messaging deps: Slack SDK, Discord SDK.
  • Data deps: Postgres client (pg), Redis, S3 client, IPFS client.
  • Container deploy hook: GitHub Actions job to build and push container images to ghcr.io with placeholder registry/repo tags; env matrix dev/stage/prod; triggers on master and main merges plus manual dispatch; no real secrets.
  • Adapter stubs under sdk/ (or equivalent) referencing @lippytm/ai-sdk; simple factory/config pattern with TODOs for secrets; mention Python/Go/Rust equivalents.
  • README: concise section listing adapters/providers and required env vars; note heavy/optional installs.
  • Ensure workflows remain additive; keep tests passing; minimal smoke test for config loader if feasible.

Deliverables:

  • Updated dependency manifests (package.json and any pyproject/go.mod/Cargo.toml if present) with bundle/optional extras.
  • New adapter stubs in repo (Node/TS) referencing @lippytm/ai-sdk.
  • Updated deploy workflow for container build/push to ghcr.io with placeholders (master and main triggers).
  • README section documenting adapters/env vars.

Notes:

  • Base branch master; include triggers for master and main. Additive only.

This pull request was created from Copilot chat.


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Copilot AI and others added 3 commits January 20, 2026 02:17
Co-authored-by: lippytm <65956507+lippytm@users.noreply.github.com>
Co-authored-by: lippytm <65956507+lippytm@users.noreply.github.com>
Co-authored-by: lippytm <65956507+lippytm@users.noreply.github.com>
Copilot AI changed the title [WIP] Add AI and Web3 integration bundle with deployment hooks Add AI/Web3 integration bundle with adapters and container deployment Jan 20, 2026
Copilot AI requested a review from lippytm January 20, 2026 02:23
@lippytm lippytm requested review from Copilot and removed request for lippytm January 21, 2026 03:37
@lippytm lippytm marked this pull request as ready for review January 21, 2026 03:37
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Pull request overview

This pull request adds a comprehensive AI/Web3 integration bundle with TypeScript adapter stubs, container deployment infrastructure, and multi-language implementation guides for a repository that appears to be focused on transparency, logic, and time-machine concepts for bots.

Changes:

  • TypeScript SDK with factory-pattern adapters for AI (OpenAI, Hugging Face, LangChain, vector stores), Web3 (EVM, Solana), messaging (Slack, Discord), and data services (PostgreSQL, Redis, S3, IPFS)
  • Container deployment workflow for GitHub Container Registry with dev/stage/prod environment matrix
  • Multi-language adapter guides for Python, Go, and Rust implementations
  • Configuration files including TypeScript config, Dockerfile, .gitignore, and environment variable templates

Reviewed changes

Copilot reviewed 15 out of 17 changed files in this pull request and generated 19 comments.

Show a summary per file
File Description
package.json Defines package metadata with peerDependencies pattern for optional AI/Web3/messaging/data dependencies
tsconfig.json TypeScript compiler configuration targeting ES2020 with CommonJS modules
sdk/index.ts Main SDK export with factory method for creating all adapters from environment variables
sdk/ai/adapter.ts AI adapter stub with configuration for OpenAI, Hugging Face, LangChain, and vector stores
sdk/web3/adapter.ts Web3 adapter stub supporting EVM chains via ethers.js and Solana
sdk/messaging/adapter.ts Messaging adapter stub for Slack and Discord integration
sdk/data/adapter.ts Data adapter stub for PostgreSQL, Redis, S3, and IPFS
src/index.ts Main entry point re-exporting SDK modules
test/config.test.js Smoke tests for environment variable loading and config factory pattern
Dockerfile Multi-stage Docker build for Node.js application with dev/stage/prod environment support
.github/workflows/container-deploy.yml GitHub Actions workflow for building container images with environment matrix
.gitignore Ignore patterns for Node.js, Python, Go, Rust, and IDE files
.env.example Template for environment variables needed by all adapters
README.md Comprehensive documentation of features, adapters, environment variables, and deployment
sdk/PYTHON_ADAPTERS.md Python implementation guide with package equivalents and code examples
sdk/GO_ADAPTERS.md Go implementation guide with module dependencies and code examples
sdk/RUST_ADAPTERS.md Rust implementation guide with crate dependencies and code examples

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Comment on lines +132 to +133
rusoto_s3 = "0.48"
rusoto_core = "0.48"
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The Rust adapter documentation recommends using rusoto_s3 and rusoto_core version 0.48, but the Rusoto project has been deprecated in favor of the official AWS SDK for Rust. The documentation should be updated to use aws-sdk-s3 instead, which is the current recommended SDK from AWS.

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}

getConfig(): MessagingAdapterConfig {
return this.config;
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The getConfig() method returns the internal config object directly without cloning it. This allows external code to mutate the adapter's internal configuration state, which could lead to unexpected behavior or security issues (e.g., modifying API keys). Consider returning a deep copy or making the returned object readonly.

Suggested change
return this.config;
return {
slack: this.config.slack
? { ...this.config.slack }
: undefined,
discord: this.config.discord
? {
...this.config.discord,
intents: this.config.discord.intents
? [...this.config.discord.intents]
: undefined
}
: undefined
};

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Comment on lines +16 to +19
ai?: any;
web3?: any;
messaging?: any;
data?: any;
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The SDK interface uses 'any' types for all adapter configurations which defeats the purpose of TypeScript's type safety. These should reference the specific config types (AIAdapterConfig, Web3AdapterConfig, MessagingAdapterConfig, DataAdapterConfig) that are already exported from the module.

Suggested change
ai?: any;
web3?: any;
messaging?: any;
data?: any;
ai?: AIAdapterConfig;
web3?: Web3AdapterConfig;
messaging?: MessagingAdapterConfig;
data?: DataAdapterConfig;

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## License

MIT
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The file ends with "MIT " (with a trailing space) on line 234. Trailing whitespace should be removed for consistency and cleaner file formatting.

Suggested change
MIT
MIT

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}

getConfig(): Web3AdapterConfig {
return this.config;
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The getConfig() method returns the internal config object directly without cloning or freezing it. This allows external code to mutate the adapter's internal configuration state, potentially causing unexpected behavior. Consider returning a deep copy of the config or making it readonly to prevent external mutations.

Suggested change
return this.config;
// Return a deep copy to prevent external mutation of internal configuration state
return JSON.parse(JSON.stringify(this.config));

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Comment on lines +55 to +67
static fromEnv(): Web3Adapter {
return new Web3Adapter({
evm: process.env.ETH_RPC_URL ? {
rpcUrl: process.env.ETH_RPC_URL,
privateKey: process.env.ETH_PRIVATE_KEY,
chainId: process.env.ETH_CHAIN_ID ? parseInt(process.env.ETH_CHAIN_ID) : undefined
} : undefined,
solana: process.env.SOLANA_RPC_URL ? {
rpcUrl: process.env.SOLANA_RPC_URL,
privateKey: process.env.SOLANA_PRIVATE_KEY,
commitment: (process.env.SOLANA_COMMITMENT as any) || 'confirmed'
} : undefined
});
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Private keys are being stored directly in environment variables without any validation or warnings about secure storage in the code. While the documentation mentions using secret managers, the code should include runtime warnings or validation to discourage storing raw private keys in environment variables in production environments.

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Comment on lines +10 to +26
RUN npm install --include=optional || npm install

# Copy source code
COPY sdk/ ./sdk/
COPY src/ ./src/

# Build TypeScript
RUN npm run build || echo "Build step completed"

# Production image
FROM node:18-alpine

WORKDIR /app

# Copy package files and install production dependencies only
COPY package.json ./
RUN npm install --production || npm install
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The npm install commands use '|| npm install' as a fallback which could mask errors during the build process. If the first install command fails with --include=optional, the build continues silently without optional dependencies. This makes it difficult to debug installation issues. Consider logging the failure or using a more explicit approach to handle optional dependency installation.

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@@ -1,2 +1,234 @@
# Transparency-Logic-Time-Machine-Bots-
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The repository name includes a trailing hyphen "Transparency-Logic-Time-Machine-Bots-" which is inconsistent with standard naming conventions. Repository names typically don't end with hyphens. This should be "Transparency-Logic-Time-Machine-Bots" without the trailing hyphen.

Suggested change
# Transparency-Logic-Time-Machine-Bots-
# Transparency-Logic-Time-Machine-Bots

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## Quick Start

```typescript
import { SDK } from './sdk';
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The import example uses a relative path './sdk' which will only work from the repository root. For a published npm package, users should import from the package name '@lippytm/transparency-logic-time-machine-bots' or just the main export. The documentation should clarify whether this is for local development or package usage.

Suggested change
import { SDK } from './sdk';
import { SDK } from '@lippytm/transparency-logic-time-machine-bots';

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Comment on lines +2 to +4
OPENAI_API_KEY=sk-...
OPENAI_MODEL=gpt-4
HF_API_TOKEN=hf_...
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The .env.example file contains placeholder values like 'sk-...' for API keys which could be mistaken for actual redacted keys. Consider using more explicit placeholder text such as 'your-openai-api-key-here' or 'REPLACE_WITH_YOUR_KEY' to make it clear these are examples and need to be replaced.

Suggested change
OPENAI_API_KEY=sk-...
OPENAI_MODEL=gpt-4
HF_API_TOKEN=hf_...
OPENAI_API_KEY=your-openai-api-key-here
OPENAI_MODEL=gpt-4
HF_API_TOKEN=your-huggingface-api-token-here

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