smart-diff

TypeScript library that turns a git revision range into a Markdown summary using any LLM provider supported by the Vercel AI SDK — OpenAI, Anthropic, Google Gemini, Amazon Bedrock, Mistral, Cohere, Groq, xAI, DeepSeek, or any OpenAI-compatible gateway. It uses a bundled git binary (via dugite) — no system git installation required — respects path includes/excludes and commit message include/exclude regexes, and sends commits, paths, structured diff stats, and unified diff text to the model.

Requirements

• Node.js 20+
• An LLM provider credential (see Provider configuration)

Alpine Linux / musl libc

Dugite's bundled git binary is compiled against glibc and will not run on Alpine Linux or other musl-based images. Set the two dugite execution env vars to point at your system git instead:

Variable	Purpose
LOCAL_GIT_DIRECTORY	Root of your git installation (the directory containing bin/git)
GIT_EXEC_PATH	Directory containing git's subprograms (set if your distro moves them)

export LOCAL_GIT_DIRECTORY=/usr        # uses /usr/bin/git
export GIT_EXEC_PATH=/usr/lib/git-core # only needed if subprograms are non-standard

Install git in your image first if needed (apk add git). No code changes are required — these are first-class dugite env vars.

Installation

npm install @mcarvin/smart-diff

All provider packages are optional — only install the one(s) you need:

# OpenAI
npm install @ai-sdk/openai

# Anthropic
npm install @ai-sdk/anthropic

# Google Gemini
npm install @ai-sdk/google

# Amazon Bedrock
npm install @ai-sdk/amazon-bedrock

# OpenAI-compatible gateway (Azure, Ollama, Together, etc.)
npm install @ai-sdk/openai-compatible

# Others: @ai-sdk/mistral  @ai-sdk/cohere  @ai-sdk/groq  @ai-sdk/xai  @ai-sdk/deepseek

If the package for the selected provider is missing at runtime, smart-diff throws a clear error telling you which one to install.

Provider configuration

smart-diff is "configured" when isLlmProviderConfigured() returns true — i.e. at least one supported provider can be resolved from env vars — or you pass your own llmModelProvider factory. Otherwise summarizeGitDiff / generateSummary throw with LLM_GATEWAY_REQUIRED_MESSAGE.

Selecting a provider

LLM_PROVIDER explicitly selects a provider. When unset, the resolver auto-detects in this order: LLM_BASE_URL/OPENAI_BASE_URL → openai-compatible, OPENAI_API_KEY/LLM_API_KEY → openai, then ANTHROPIC_API_KEY, GOOGLE_GENERATIVE_AI_API_KEY (or GOOGLE_API_KEY), MISTRAL_API_KEY, COHERE_API_KEY, GROQ_API_KEY, XAI_API_KEY, DEEPSEEK_API_KEY, AWS_ACCESS_KEY_ID/AWS_PROFILE → bedrock, and finally OPENAI_DEFAULT_HEADERS/LLM_DEFAULT_HEADERS → openai.

Provider (LLM_PROVIDER)	Package	Credential env vars	Default model
openai	@ai-sdk/openai	OPENAI_API_KEY or LLM_API_KEY	gpt-4o-mini
openai-compatible	@ai-sdk/openai-compatible	LLM_BASE_URL or OPENAI_BASE_URL (required); OPENAI_API_KEY/LLM_API_KEY or custom headers	gpt-4o-mini
anthropic	@ai-sdk/anthropic	ANTHROPIC_API_KEY	claude-haiku-4-5-20251001
google	@ai-sdk/google	GOOGLE_GENERATIVE_AI_API_KEY or GOOGLE_API_KEY	gemini-2.0-flash
bedrock	@ai-sdk/amazon-bedrock	AWS_ACCESS_KEY_ID / AWS_PROFILE (auto-detects); full AWS credential chain supported	anthropic.claude-3-5-haiku-20241022-v1:0
mistral	@ai-sdk/mistral	MISTRAL_API_KEY	mistral-small-latest
cohere	@ai-sdk/cohere	COHERE_API_KEY	command-r-08-2024
groq	@ai-sdk/groq	GROQ_API_KEY	llama-3.1-8b-instant
xai	@ai-sdk/xai	XAI_API_KEY	grok-2-latest
deepseek	@ai-sdk/deepseek	DEEPSEEK_API_KEY	deepseek-chat

LLM_* wins over OPENAI_* where both exist.

Common env vars

Variable	Purpose
LLM_PROVIDER	Explicit provider id from the table above.
LLM_MODEL	Overrides the per-provider default model id.
OPENAI_BASE_URL / LLM_BASE_URL	Base URL for an OpenAI-compatible gateway; presence alone auto-selects the openai-compatible provider.
OPENAI_DEFAULT_HEADERS / LLM_DEFAULT_HEADERS	JSON object of extra headers merged onto OpenAI / OpenAI-compatible requests (e.g. RBAC tokens, raw Authorization). LLM_* overrides OPENAI_* key-by-key.
LLM_PROVIDER_NAME	Display name used when openai-compatible is active (defaults to openai-compatible).
OPENAI_MAX_DIFF_CHARS / LLM_MAX_DIFF_CHARS	Max size of unified diff text sent to the model (default ~120k characters).
OPENAI_MAX_TOKENS / LLM_MAX_TOKENS	Max completion tokens (default 4000).
LLM_TEMPERATURE	Sampling temperature, clamped to 0–2 (default 0.2). Lower = more deterministic; higher = more varied prose.

Example: native OpenAI

$env:OPENAI_API_KEY = "sk-..."
# Optional: $env:LLM_MODEL = "gpt-4o"

Example: Anthropic Claude

$env:ANTHROPIC_API_KEY = "sk-ant-..."
$env:LLM_MODEL = "claude-3-5-sonnet-latest"   # optional override

Example: company-managed OpenAI-compatible gateway

$env:OPENAI_BASE_URL = "https://llm-gateway.example.com"
$env:OPENAI_DEFAULT_HEADERS = '{"x-company-rbac":"your-rbac-token-here","Authorization":"Bearer sk-your-api-key-here"}'
# LLM_PROVIDER is auto-detected as "openai-compatible" because LLM_BASE_URL/OPENAI_BASE_URL is set.

Example: Google Gemini

$env:GOOGLE_GENERATIVE_AI_API_KEY = "..."
$env:LLM_MODEL = "gemini-2.0-flash"

Usage

summarizeGitDiff

import { summarizeGitDiff } from '@mcarvin/smart-diff';

const markdown = await summarizeGitDiff({
  from: 'origin/main',
  to: 'HEAD',
  cwd: '/path/to/repo', // optional; default process.cwd()
  includeFolders: ['src'],
  excludeFolders: ['node_modules', 'dist'],
  commitMessageExcludeRegexes: ['^\\[bot\\]'],
  commitMessageIncludeRegexes: ['^feat:'], // optional; OR across patterns
  teamName: 'Platform',
  systemPrompt: undefined,   // optional; overrides DEFAULT_GIT_DIFF_SYSTEM_PROMPT
  provider: 'anthropic',     // optional; overrides LLM_PROVIDER env + auto-detection
  model: 'claude-3-5-sonnet-latest', // optional
  maxDiffChars: 120_000,     // optional; also see LLM_MAX_DIFF_CHARS
});

Option	Description
from / to	Git refs for the range; to defaults to HEAD.
cwd / git	Working directory path, or inject your own GitClient instance.
includeFolders	Limit diff to these paths relative to repo root (omit for full repo minus excludes).
excludeFolders	Excluded paths (git :(exclude) pathspecs), e.g. node_modules.
commitMessageIncludeRegexes	If any pattern is non-empty, only commits whose full message matches at least one pattern are kept (after excludes). Case-insensitive.
commitMessageExcludeRegexes	Drop commits whose message matches any of these patterns.
teamName	Adds a Team: line to the user payload for the model.
systemPrompt	Replaces the default system prompt.
provider	LlmProviderId — wins over LLM_PROVIDER env and auto-detection.
model	Chat model id; overrides LLM_MODEL and the provider default.
maxDiffChars	Caps unified diff size for the request.
contextLines	Number of context lines around each change (git diff -U<n>). Lower values (1 or 0) are the single biggest token saver on modification-heavy diffs.
ignoreWhitespace	Passes -w / --ignore-all-space to git diff so pure-whitespace hunks don't consume tokens. Also applies to --numstat / --name-status so counts stay consistent.
stripDiffPreamble	Removes low-value lines from the unified diff (diff --git, index, mode changes, similarity/rename/copy metadata). --- a/…, +++ b/…, and @@ hunk headers are kept.
maxHunkLines	Caps the body of each hunk; anything past the limit is replaced with a single elision marker. The @@ header and DiffSummary totals are preserved.
excludeDefaultNoise	Merges the built-in DEFAULT_NOISE_EXCLUDES list (lockfiles, dist, build, out, coverage, node_modules, __snapshots__) into excludeFolders.
llmModelProvider	() => Promise<LanguageModel> — bypass env-based resolution entirely; hand-wire a Vercel AI SDK LanguageModel (required in tests or custom setups).

Reducing tokens

For most repos, the cheapest wins are:

await summarizeGitDiff({
  from: 'origin/main',
  contextLines: 1,          // -U1 cuts 30-60% of tokens on typical diffs
  ignoreWhitespace: true,   // drop pure-whitespace hunks entirely
  stripDiffPreamble: true,  // kill `index`/`mode`/`similarity` lines
  maxHunkLines: 400,        // truncate monster hunks but keep the @@ header
  excludeDefaultNoise: true // skip lockfiles, dist/, coverage/, node_modules/
});

These options only reshape the unified diff text — the structured DiffSummary still reports true file counts and line totals, so the model always sees the full change inventory.

Injecting your own LanguageModel

If you want full control — for example, to configure retries, middlewares, or hit an in-process mock — pass llmModelProvider:

import { summarizeGitDiff } from '@mcarvin/smart-diff';
import { createAnthropic } from '@ai-sdk/anthropic';

const md = await summarizeGitDiff({
  from: 'origin/main',
  llmModelProvider: async () =>
    createAnthropic({ apiKey: process.env.MY_ANTHROPIC_KEY })(
      'claude-3-5-sonnet-latest',
    ),
});

Diff shape: single range vs per-commit

• Single unified diff for from..to when no commit-message filters apply and the filtered commit list matches the full log for that range.
• Concatenated per-commit patches (<hash>^!) when you use include/exclude regexes or when the filtered commit list differs in length from the full range (so the diff reflects only the commits that remain).

Lower-level API

The package also exports helpers for building a custom pipeline on top of the same git and LLM behavior:

• Git: createGitClient(cwd?, timeout?), getRepoRoot, getCommits, getDiff, getDiffSummary, getChangedFiles, filterCommitsByMessageRegexes, buildDiffPathspecs, buildDiffShapingGitArgs, shapeUnifiedDiff, DEFAULT_NOISE_EXCLUDES — timeout is in milliseconds; omit for no timeout
• AI: generateSummary, resolveLlmMaxDiffChars, truncateUnifiedDiffForLlm
• Provider resolution: resolveLanguageModel, detectLlmProvider, isLlmProviderConfigured, defaultModelForProvider, resolveLlmBaseUrl, parseLlmDefaultHeadersFromEnv
• Constants / types: DEFAULT_GIT_DIFF_SYSTEM_PROMPT, LLM_GATEWAY_REQUIRED_MESSAGE, LlmProviderId, LlmModelProvider, ResolveLanguageModelOptions, GenerateSummaryInput, SummarizeFlags, DiffFileSummary, DiffSummary, CommitInfo, GitClient, GitDiffRangeQuery, DiffPathFilter, DiffShapingOptions — DiffFileSummary.binary?: boolean is set to true when git reports - for additions/deletions (binary file); absent for text files

Migrating from 2.x → 3.x

@ai-sdk/openai and @ai-sdk/openai-compatible are no longer bundled as direct dependencies. If you use either, add them explicitly:

npm install @ai-sdk/openai
# or
npm install @ai-sdk/openai-compatible

Everything else — env vars, auto-detection, the public API — is unchanged.

Used By

This package is used by:

• sf-git-ai-meta-insights — Salesforce metadata wrapper compatible with Salesforce DX projects

License

MIT