feat: Add multi-provider LLM support via LiteLLM integration - #110

Closed
joeVenner wants to merge 3 commits into
VectifyAI:mainfrom
joeVenner:feat/Add_multi_provider_LLM_support_including_local_ollama
Closed

feat: Add multi-provider LLM support via LiteLLM integration#110
joeVenner wants to merge 3 commits into
VectifyAI:mainfrom
joeVenner:feat/Add_multi_provider_LLM_support_including_local_ollama

Conversation

@joeVenner

@joeVennerjoeVenner commented Feb 14, 2026

Copy link
Copy Markdown

🌟 Add Multi-Provider LLM Support - Use Any LLM with PageIndex!

Summary

This PR transforms PageIndex from an OpenAI-only tool into a universal LLM-powered document indexing solution. By integrating LiteLLM, users can now choose from 100+ LLM providers including:

ProviderModelsSetup
🟢 OpenAIGPT-4o, GPT-4 TurboOPENAI_API_KEY
🟣 AnthropicClaude 3 Opus, Sonnet, HaikuANTHROPIC_API_KEY
🔵 GoogleGemini Pro, Gemini 1.5GEMINI_API_KEY
🟦 AzureAzure OpenAI deploymentsAZURE_API_KEY + base
🟠 AWS BedrockClaude, Llama on BedrockAWS credentials
⚡ GroqLlama 3.1, MixtralGROQ_API_KEY
🦙 Ollama (Local)Llama3, Mistral, QwenNo API key!

🚀 Key Features

  • Zero Breaking Changes: Fully backward compatible with existing setups
  • Local Model Support: Run completely offline with Ollama
  • Flexible Token Counting: Automatic tokenizer selection per provider
  • Simple Migration: Just change the model string!

📝 Usage Examples

# OpenAI (default - no changes needed)
python3 run_pageindex.py --pdf_path doc.pdf
# Claude 3 Opusexport ANTHROPIC_API_KEY=your_key
python3 run_pageindex.py --pdf_path doc.pdf --model claude-3-opus-20240229
# Local Ollama (no API key!)
ollama serve
python3 run_pageindex.py --pdf_path doc.pdf --model ollama/llama3

@jdiaz-elyndra

jdiaz-elyndra commented Feb 14, 2026 via email

Copy link
Copy Markdown

@joeVenner

joeVenner commented Feb 15, 2026

Copy link
Copy Markdown
Author

@zmtomorrow Can you check please ?

@hoangvantuan

hoangvantuan commented Feb 25, 2026

Copy link
Copy Markdown

I really need this pull request.

@joeVenner

joeVenner commented Feb 25, 2026

Copy link
Copy Markdown
Author

@rejojer can you check ?

ClimenteA
ClimenteA reviewed Mar 22, 2026
View reviewed changes
Comment threadpageindex/utils.py Outdated
else:
# Use LiteLLM's token counter for other providers
try:
return litellm.token_counter(model=model, text=text)

@ClimenteAClimenteAMar 22, 2026

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Why not use directly litellm.token_counter? Why is this needed: if is_openai_model:

Joevennerand others added 3 commits March 22, 2026 14:23
Joevenner@joeVenner
feat: Add multi-provider LLM support via LiteLLM integration
0b4ae8d
Replace OpenAI-only implementation with LiteLLM to support 100+ LLM providers
including Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, Groq,
and local Ollama models.
Changes:
- Add litellm>=1.0.0 dependency
- Refactor ChatGPT_API functions to use litellm.completion()
- Enhance count_tokens() for multi-provider token counting
- Update config.yaml with provider-specific model examples
- Update README.md with multi-provider setup instructions
Backward compatible: Existing OPENAI_API_KEY and CHATGPT_API_KEY still work.
Default model remains gpt-4o-2024-11-20.
@joeVenner
Refactored token counting to use LiteLLM for multi-provider support, …
4c34e60
…removing reliance on direct tiktoken and hardcoded models, while cleaning up tokenization logic to prevent crashes
@joeVenner@claude
Resolve merge conflicts: accept upstream LiteLLM integration
7d63209
Accept upstream's LiteLLM implementation (llm_completion/llm_acompletion,
pinned litellm==1.82.0, ConfigLoader, drop_params) which supersedes
our parallel implementation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@joeVenner
joeVennerforce-pushed the feat/Add_multi_provider_LLM_support_including_local_ollama branch from acc22f7 to 7d63209CompareMarch 22, 2026 13:24
@joeVenner

joeVenner commented Mar 25, 2026

Copy link
Copy Markdown
Author

@ClimenteA Can you please check this PR when you have time ?

@KylinMountain

KylinMountain commented Jul 3, 2026

Copy link
Copy Markdown
Collaborator

Thanks @joeVenner! This is exactly the direction we took — multi-provider support via LiteLLM landed in #168 (merged), so llm_completion now routes through litellm.completion and works with any LiteLLM-supported provider by model name. Closing as already implemented; your PR helped validate the approach. 🙏

Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Reviewers

@ClimenteAClimenteAAwaiting requested review from ClimenteA

Assignees

No one assigned

Labels

None yet

Projects

None yet

Milestone

No milestone

Development

Successfully merging this pull request may close these issues.

5 participants

@joeVenner@jdiaz-elyndra@hoangvantuan@KylinMountain@ClimenteA
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
feat: Add multi-provider LLM support via LiteLLM integration - #110
Closed
joeVenner wants to merge 3 commits into
VectifyAI:mainfrom 
joeVenner:feat/Add_multi_provider_LLM_support_including_local_ollama
Closed
feat: Add multi-provider LLM support via LiteLLM integration#110
joeVenner wants to merge 3 commits into
VectifyAI:mainfrom 
joeVenner:feat/Add_multi_provider_LLM_support_including_local_ollama
Conversation
@joeVenner
@joeVennerjoeVenner
commented
Feb 14, 2026

Copy link


Copy Markdown

🌟 Add Multi-Provider LLM Support - Use Any LLM with PageIndex!
Summary
This PR transforms PageIndex from an OpenAI-only tool into a universal LLM-powered document indexing solution. By integrating LiteLLM, users can now choose from 100+ LLM providers including:
ProviderModelsSetup
🟢 OpenAIGPT-4o, GPT-4 TurboOPENAI_API_KEY
🟣 AnthropicClaude 3 Opus, Sonnet, HaikuANTHROPIC_API_KEY
🔵 GoogleGemini Pro, Gemini 1.5GEMINI_API_KEY
🟦 AzureAzure OpenAI deploymentsAZURE_API_KEY + base
🟠 AWS BedrockClaude, Llama on BedrockAWS credentials
⚡ GroqLlama 3.1, MixtralGROQ_API_KEY
🦙 Ollama (Local)Llama3, Mistral, QwenNo API key!
🚀 Key Features
  • Zero Breaking Changes: Fully backward compatible with existing setups
  • Local Model Support: Run completely offline with Ollama
  • Flexible Token Counting: Automatic tokenizer selection per provider
  • Simple Migration: Just change the model string!
📝 Usage Examples
# OpenAI (default - no changes needed)
python3 run_pageindex.py --pdf_path doc.pdf
# Claude 3 Opusexport ANTHROPIC_API_KEY=your_key
python3 run_pageindex.py --pdf_path doc.pdf --model claude-3-opus-20240229
# Local Ollama (no API key!)
ollama serve
python3 run_pageindex.py --pdf_path doc.pdf --model ollama/llama3
@jdiaz-elyndra
jdiaz-elyndra
commented
Feb 14, 2026
via email 

Copy link


Copy Markdown

@joeVenner
joeVenner
commented
Feb 15, 2026

Copy link


Copy Markdown

Author
@zmtomorrow Can you check please ?
@hoangvantuan
hoangvantuan
commented
Feb 25, 2026

Copy link


Copy Markdown

I really need this pull request.
@joeVenner
joeVenner
commented
Feb 25, 2026

Copy link


Copy Markdown

Author
@rejojer can you check ?
ClimenteA
ClimenteA
reviewed
Mar 22, 2026
View reviewed changes
Comment threadpageindex/utils.py
Outdated

 else:
 # Use LiteLLM's token counter for other providers
 try:
 return litellm.token_counter(model=model, text=text)
@ClimenteAClimenteAMar 22, 2026

Copy link


Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Why not use directly litellm.token_counter? Why is this needed: if is_openai_model:
Joevennerand others
added 3 commits
March 22, 2026 14:23
Joevenner@joeVenner
feat: Add multi-provider LLM support via LiteLLM integration
0b4ae8d
Replace OpenAI-only implementation with LiteLLM to support 100+ LLM providers
including Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, Groq,
and local Ollama models.
Changes:
- Add litellm>=1.0.0 dependency
- Refactor ChatGPT_API functions to use litellm.completion()
- Enhance count_tokens() for multi-provider token counting
- Update config.yaml with provider-specific model examples
- Update README.md with multi-provider setup instructions
Backward compatible: Existing OPENAI_API_KEY and CHATGPT_API_KEY still work.
Default model remains gpt-4o-2024-11-20.
@joeVenner
Refactored token counting to use LiteLLM for multi-provider support, …
4c34e60
…removing reliance on direct tiktoken and hardcoded models, while cleaning up tokenization logic to prevent crashes
@joeVenner@claude
Resolve merge conflicts: accept upstream LiteLLM integration
7d63209
Accept upstream's LiteLLM implementation (llm_completion/llm_acompletion,
pinned litellm==1.82.0, ConfigLoader, drop_params) which supersedes
our parallel implementation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@joeVenner
joeVennerforce-pushed
the
feat/Add_multi_provider_LLM_support_including_local_ollama
branch
from
acc22f7 to
7d63209CompareMarch 22, 2026 13:24
@joeVenner
joeVenner
commented
Mar 25, 2026

Copy link


Copy Markdown

Author
@ClimenteA Can you please check this PR when you have time ?
@KylinMountain
KylinMountain
commented
Jul 3, 2026

Copy link


Copy Markdown

Collaborator
Thanks @joeVenner! This is exactly the direction we took — multi-provider support via LiteLLM landed in #168 (merged), so llm_completion now routes through litellm.completion and works with any LiteLLM-supported provider by model name. Closing as already implemented; your PR helped validate the approach. 🙏
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers

@ClimenteAClimenteAAwaiting requested review from ClimenteA

Assignees


No one assigned


Labels


None yet


Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

5 participants

@joeVenner@jdiaz-elyndra@hoangvantuan@KylinMountain@ClimenteA

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
feat: Add multi-provider LLM support via LiteLLM integration - #110
Closed
joeVenner wants to merge 3 commits into
VectifyAI:mainfrom 
joeVenner:feat/Add_multi_provider_LLM_support_including_local_ollama
Closed
feat: Add multi-provider LLM support via LiteLLM integration#110
joeVenner wants to merge 3 commits into
VectifyAI:mainfrom 
joeVenner:feat/Add_multi_provider_LLM_support_including_local_ollama
Conversation
@joeVenner
@joeVennerjoeVenner
commented
Feb 14, 2026

Copy link


Copy Markdown

🌟 Add Multi-Provider LLM Support - Use Any LLM with PageIndex!
Summary
This PR transforms PageIndex from an OpenAI-only tool into a universal LLM-powered document indexing solution. By integrating LiteLLM, users can now choose from 100+ LLM providers including:
ProviderModelsSetup
🟢 OpenAIGPT-4o, GPT-4 TurboOPENAI_API_KEY
🟣 AnthropicClaude 3 Opus, Sonnet, HaikuANTHROPIC_API_KEY
🔵 GoogleGemini Pro, Gemini 1.5GEMINI_API_KEY
🟦 AzureAzure OpenAI deploymentsAZURE_API_KEY + base
🟠 AWS BedrockClaude, Llama on BedrockAWS credentials
⚡ GroqLlama 3.1, MixtralGROQ_API_KEY
🦙 Ollama (Local)Llama3, Mistral, QwenNo API key!
🚀 Key Features
  • Zero Breaking Changes: Fully backward compatible with existing setups
  • Local Model Support: Run completely offline with Ollama
  • Flexible Token Counting: Automatic tokenizer selection per provider
  • Simple Migration: Just change the model string!
📝 Usage Examples
# OpenAI (default - no changes needed)
python3 run_pageindex.py --pdf_path doc.pdf
# Claude 3 Opusexport ANTHROPIC_API_KEY=your_key
python3 run_pageindex.py --pdf_path doc.pdf --model claude-3-opus-20240229
# Local Ollama (no API key!)
ollama serve
python3 run_pageindex.py --pdf_path doc.pdf --model ollama/llama3
@jdiaz-elyndra
jdiaz-elyndra
commented
Feb 14, 2026
via email 

Copy link


Copy Markdown

@joeVenner
joeVenner
commented
Feb 15, 2026

Copy link


Copy Markdown

Author
@zmtomorrow Can you check please ?
@hoangvantuan
hoangvantuan
commented
Feb 25, 2026

Copy link


Copy Markdown

I really need this pull request.
@joeVenner
joeVenner
commented
Feb 25, 2026

Copy link


Copy Markdown

Author
@rejojer can you check ?
ClimenteA
ClimenteA
reviewed
Mar 22, 2026
View reviewed changes
Comment threadpageindex/utils.py
Outdated

 else:
 # Use LiteLLM's token counter for other providers
 try:
 return litellm.token_counter(model=model, text=text)
@ClimenteAClimenteAMar 22, 2026

Copy link


Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Why not use directly litellm.token_counter? Why is this needed: if is_openai_model:
Joevennerand others
added 3 commits
March 22, 2026 14:23
Joevenner@joeVenner
feat: Add multi-provider LLM support via LiteLLM integration
0b4ae8d
Replace OpenAI-only implementation with LiteLLM to support 100+ LLM providers
including Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, Groq,
and local Ollama models.
Changes:
- Add litellm>=1.0.0 dependency
- Refactor ChatGPT_API functions to use litellm.completion()
- Enhance count_tokens() for multi-provider token counting
- Update config.yaml with provider-specific model examples
- Update README.md with multi-provider setup instructions
Backward compatible: Existing OPENAI_API_KEY and CHATGPT_API_KEY still work.
Default model remains gpt-4o-2024-11-20.
@joeVenner
Refactored token counting to use LiteLLM for multi-provider support, …
4c34e60
…removing reliance on direct tiktoken and hardcoded models, while cleaning up tokenization logic to prevent crashes
@joeVenner@claude
Resolve merge conflicts: accept upstream LiteLLM integration
7d63209
Accept upstream's LiteLLM implementation (llm_completion/llm_acompletion,
pinned litellm==1.82.0, ConfigLoader, drop_params) which supersedes
our parallel implementation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@joeVenner
joeVennerforce-pushed
the
feat/Add_multi_provider_LLM_support_including_local_ollama
branch
from
acc22f7 to
7d63209CompareMarch 22, 2026 13:24
@joeVenner
joeVenner
commented
Mar 25, 2026

Copy link


Copy Markdown

Author
@ClimenteA Can you please check this PR when you have time ?
@KylinMountain
KylinMountain
commented
Jul 3, 2026

Copy link


Copy Markdown

Collaborator
Thanks @joeVenner! This is exactly the direction we took — multi-provider support via LiteLLM landed in #168 (merged), so llm_completion now routes through litellm.completion and works with any LiteLLM-supported provider by model name. Closing as already implemented; your PR helped validate the approach. 🙏
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers

@ClimenteAClimenteAAwaiting requested review from ClimenteA

Assignees


No one assigned


Labels


None yet


Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

5 participants

@joeVenner@jdiaz-elyndra@hoangvantuan@KylinMountain@ClimenteA

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
feat: Add multi-provider LLM support via LiteLLM integration - #110
Closed
joeVenner wants to merge 3 commits into
VectifyAI:mainfrom 
joeVenner:feat/Add_multi_provider_LLM_support_including_local_ollama
Closed
feat: Add multi-provider LLM support via LiteLLM integration#110
joeVenner wants to merge 3 commits into
VectifyAI:mainfrom 
joeVenner:feat/Add_multi_provider_LLM_support_including_local_ollama
Conversation
@joeVenner
@joeVennerjoeVenner
commented
Feb 14, 2026

Copy link


Copy Markdown

🌟 Add Multi-Provider LLM Support - Use Any LLM with PageIndex!
Summary
This PR transforms PageIndex from an OpenAI-only tool into a universal LLM-powered document indexing solution. By integrating LiteLLM, users can now choose from 100+ LLM providers including:
ProviderModelsSetup
🟢 OpenAIGPT-4o, GPT-4 TurboOPENAI_API_KEY
🟣 AnthropicClaude 3 Opus, Sonnet, HaikuANTHROPIC_API_KEY
🔵 GoogleGemini Pro, Gemini 1.5GEMINI_API_KEY
🟦 AzureAzure OpenAI deploymentsAZURE_API_KEY + base
🟠 AWS BedrockClaude, Llama on BedrockAWS credentials
⚡ GroqLlama 3.1, MixtralGROQ_API_KEY
🦙 Ollama (Local)Llama3, Mistral, QwenNo API key!
🚀 Key Features
  • Zero Breaking Changes: Fully backward compatible with existing setups
  • Local Model Support: Run completely offline with Ollama
  • Flexible Token Counting: Automatic tokenizer selection per provider
  • Simple Migration: Just change the model string!
📝 Usage Examples
# OpenAI (default - no changes needed)
python3 run_pageindex.py --pdf_path doc.pdf
# Claude 3 Opusexport ANTHROPIC_API_KEY=your_key
python3 run_pageindex.py --pdf_path doc.pdf --model claude-3-opus-20240229
# Local Ollama (no API key!)
ollama serve
python3 run_pageindex.py --pdf_path doc.pdf --model ollama/llama3
@jdiaz-elyndra
jdiaz-elyndra
commented
Feb 14, 2026
via email 

Copy link


Copy Markdown

@joeVenner
joeVenner
commented
Feb 15, 2026

Copy link


Copy Markdown

Author
@zmtomorrow Can you check please ?
@hoangvantuan
hoangvantuan
commented
Feb 25, 2026

Copy link


Copy Markdown

I really need this pull request.
@joeVenner
joeVenner
commented
Feb 25, 2026

Copy link


Copy Markdown

Author
@rejojer can you check ?
ClimenteA
ClimenteA
reviewed
Mar 22, 2026
View reviewed changes
Comment threadpageindex/utils.py
Outdated

 else:
 # Use LiteLLM's token counter for other providers
 try:
 return litellm.token_counter(model=model, text=text)
@ClimenteAClimenteAMar 22, 2026

Copy link


Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Why not use directly litellm.token_counter? Why is this needed: if is_openai_model:
Joevennerand others
added 3 commits
March 22, 2026 14:23
Joevenner@joeVenner
feat: Add multi-provider LLM support via LiteLLM integration
0b4ae8d
Replace OpenAI-only implementation with LiteLLM to support 100+ LLM providers
including Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, Groq,
and local Ollama models.
Changes:
- Add litellm>=1.0.0 dependency
- Refactor ChatGPT_API functions to use litellm.completion()
- Enhance count_tokens() for multi-provider token counting
- Update config.yaml with provider-specific model examples
- Update README.md with multi-provider setup instructions
Backward compatible: Existing OPENAI_API_KEY and CHATGPT_API_KEY still work.
Default model remains gpt-4o-2024-11-20.
@joeVenner
Refactored token counting to use LiteLLM for multi-provider support, …
4c34e60
…removing reliance on direct tiktoken and hardcoded models, while cleaning up tokenization logic to prevent crashes
@joeVenner@claude
Resolve merge conflicts: accept upstream LiteLLM integration
7d63209
Accept upstream's LiteLLM implementation (llm_completion/llm_acompletion,
pinned litellm==1.82.0, ConfigLoader, drop_params) which supersedes
our parallel implementation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@joeVenner
joeVennerforce-pushed
the
feat/Add_multi_provider_LLM_support_including_local_ollama
branch
from
acc22f7 to
7d63209CompareMarch 22, 2026 13:24
@joeVenner
joeVenner
commented
Mar 25, 2026

Copy link


Copy Markdown

Author
@ClimenteA Can you please check this PR when you have time ?
@KylinMountain
KylinMountain
commented
Jul 3, 2026

Copy link


Copy Markdown

Collaborator
Thanks @joeVenner! This is exactly the direction we took — multi-provider support via LiteLLM landed in #168 (merged), so llm_completion now routes through litellm.completion and works with any LiteLLM-supported provider by model name. Closing as already implemented; your PR helped validate the approach. 🙏
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers

@ClimenteAClimenteAAwaiting requested review from ClimenteA

Assignees


No one assigned


Labels


None yet


Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

5 participants

@joeVenner@jdiaz-elyndra@hoangvantuan@KylinMountain@ClimenteA

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
feat: Add multi-provider LLM support via LiteLLM integration - #110
Closed
joeVenner wants to merge 3 commits into
VectifyAI:mainfrom 
joeVenner:feat/Add_multi_provider_LLM_support_including_local_ollama
Closed
feat: Add multi-provider LLM support via LiteLLM integration#110
joeVenner wants to merge 3 commits into
VectifyAI:mainfrom 
joeVenner:feat/Add_multi_provider_LLM_support_including_local_ollama
Conversation
@joeVenner
@joeVennerjoeVenner
commented
Feb 14, 2026

Copy link


Copy Markdown

🌟 Add Multi-Provider LLM Support - Use Any LLM with PageIndex!
Summary
This PR transforms PageIndex from an OpenAI-only tool into a universal LLM-powered document indexing solution. By integrating LiteLLM, users can now choose from 100+ LLM providers including:
ProviderModelsSetup
🟢 OpenAIGPT-4o, GPT-4 TurboOPENAI_API_KEY
🟣 AnthropicClaude 3 Opus, Sonnet, HaikuANTHROPIC_API_KEY
🔵 GoogleGemini Pro, Gemini 1.5GEMINI_API_KEY
🟦 AzureAzure OpenAI deploymentsAZURE_API_KEY + base
🟠 AWS BedrockClaude, Llama on BedrockAWS credentials
⚡ GroqLlama 3.1, MixtralGROQ_API_KEY
🦙 Ollama (Local)Llama3, Mistral, QwenNo API key!
🚀 Key Features
  • Zero Breaking Changes: Fully backward compatible with existing setups
  • Local Model Support: Run completely offline with Ollama
  • Flexible Token Counting: Automatic tokenizer selection per provider
  • Simple Migration: Just change the model string!
📝 Usage Examples
# OpenAI (default - no changes needed)
python3 run_pageindex.py --pdf_path doc.pdf
# Claude 3 Opusexport ANTHROPIC_API_KEY=your_key
python3 run_pageindex.py --pdf_path doc.pdf --model claude-3-opus-20240229
# Local Ollama (no API key!)
ollama serve
python3 run_pageindex.py --pdf_path doc.pdf --model ollama/llama3
@jdiaz-elyndra
jdiaz-elyndra
commented
Feb 14, 2026
via email 

Copy link


Copy Markdown

@joeVenner
joeVenner
commented
Feb 15, 2026

Copy link


Copy Markdown

Author
@zmtomorrow Can you check please ?
@hoangvantuan
hoangvantuan
commented
Feb 25, 2026

Copy link


Copy Markdown

I really need this pull request.
@joeVenner
joeVenner
commented
Feb 25, 2026

Copy link


Copy Markdown

Author
@rejojer can you check ?
ClimenteA
ClimenteA
reviewed
Mar 22, 2026
View reviewed changes
Comment threadpageindex/utils.py
Outdated

 else:
 # Use LiteLLM's token counter for other providers
 try:
 return litellm.token_counter(model=model, text=text)
@ClimenteAClimenteAMar 22, 2026

Copy link


Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Why not use directly litellm.token_counter? Why is this needed: if is_openai_model:
Joevennerand others
added 3 commits
March 22, 2026 14:23
Joevenner@joeVenner
feat: Add multi-provider LLM support via LiteLLM integration
0b4ae8d
Replace OpenAI-only implementation with LiteLLM to support 100+ LLM providers
including Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, Groq,
and local Ollama models.
Changes:
- Add litellm>=1.0.0 dependency
- Refactor ChatGPT_API functions to use litellm.completion()
- Enhance count_tokens() for multi-provider token counting
- Update config.yaml with provider-specific model examples
- Update README.md with multi-provider setup instructions
Backward compatible: Existing OPENAI_API_KEY and CHATGPT_API_KEY still work.
Default model remains gpt-4o-2024-11-20.
@joeVenner
Refactored token counting to use LiteLLM for multi-provider support, …
4c34e60
…removing reliance on direct tiktoken and hardcoded models, while cleaning up tokenization logic to prevent crashes
@joeVenner@claude
Resolve merge conflicts: accept upstream LiteLLM integration
7d63209
Accept upstream's LiteLLM implementation (llm_completion/llm_acompletion,
pinned litellm==1.82.0, ConfigLoader, drop_params) which supersedes
our parallel implementation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@joeVenner
joeVennerforce-pushed
the
feat/Add_multi_provider_LLM_support_including_local_ollama
branch
from
acc22f7 to
7d63209CompareMarch 22, 2026 13:24
@joeVenner
joeVenner
commented
Mar 25, 2026

Copy link


Copy Markdown

Author
@ClimenteA Can you please check this PR when you have time ?
@KylinMountain
KylinMountain
commented
Jul 3, 2026

Copy link


Copy Markdown

Collaborator
Thanks @joeVenner! This is exactly the direction we took — multi-provider support via LiteLLM landed in #168 (merged), so llm_completion now routes through litellm.completion and works with any LiteLLM-supported provider by model name. Closing as already implemented; your PR helped validate the approach. 🙏
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers

@ClimenteAClimenteAAwaiting requested review from ClimenteA

Assignees


No one assigned


Labels


None yet


Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

5 participants

@joeVenner@jdiaz-elyndra@hoangvantuan@KylinMountain@ClimenteA

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
feat: Add multi-provider LLM support via LiteLLM integration - #110
Closed
joeVenner wants to merge 3 commits into
VectifyAI:mainfrom 
joeVenner:feat/Add_multi_provider_LLM_support_including_local_ollama
Closed
feat: Add multi-provider LLM support via LiteLLM integration#110
joeVenner wants to merge 3 commits into
VectifyAI:mainfrom 
joeVenner:feat/Add_multi_provider_LLM_support_including_local_ollama
Conversation
@joeVenner
@joeVennerjoeVenner
commented
Feb 14, 2026

Copy link


Copy Markdown

🌟 Add Multi-Provider LLM Support - Use Any LLM with PageIndex!
Summary
This PR transforms PageIndex from an OpenAI-only tool into a universal LLM-powered document indexing solution. By integrating LiteLLM, users can now choose from 100+ LLM providers including:
ProviderModelsSetup
🟢 OpenAIGPT-4o, GPT-4 TurboOPENAI_API_KEY
🟣 AnthropicClaude 3 Opus, Sonnet, HaikuANTHROPIC_API_KEY
🔵 GoogleGemini Pro, Gemini 1.5GEMINI_API_KEY
🟦 AzureAzure OpenAI deploymentsAZURE_API_KEY + base
🟠 AWS BedrockClaude, Llama on BedrockAWS credentials
⚡ GroqLlama 3.1, MixtralGROQ_API_KEY
🦙 Ollama (Local)Llama3, Mistral, QwenNo API key!
🚀 Key Features
  • Zero Breaking Changes: Fully backward compatible with existing setups
  • Local Model Support: Run completely offline with Ollama
  • Flexible Token Counting: Automatic tokenizer selection per provider
  • Simple Migration: Just change the model string!
📝 Usage Examples
# OpenAI (default - no changes needed)
python3 run_pageindex.py --pdf_path doc.pdf
# Claude 3 Opusexport ANTHROPIC_API_KEY=your_key
python3 run_pageindex.py --pdf_path doc.pdf --model claude-3-opus-20240229
# Local Ollama (no API key!)
ollama serve
python3 run_pageindex.py --pdf_path doc.pdf --model ollama/llama3
@jdiaz-elyndra
jdiaz-elyndra
commented
Feb 14, 2026
via email 

Copy link


Copy Markdown

@joeVenner
joeVenner
commented
Feb 15, 2026

Copy link


Copy Markdown

Author
@zmtomorrow Can you check please ?
@hoangvantuan
hoangvantuan
commented
Feb 25, 2026

Copy link


Copy Markdown

I really need this pull request.
@joeVenner
joeVenner
commented
Feb 25, 2026

Copy link


Copy Markdown

Author
@rejojer can you check ?
ClimenteA
ClimenteA
reviewed
Mar 22, 2026
View reviewed changes
Comment threadpageindex/utils.py
Outdated

 else:
 # Use LiteLLM's token counter for other providers
 try:
 return litellm.token_counter(model=model, text=text)
@ClimenteAClimenteAMar 22, 2026

Copy link


Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Why not use directly litellm.token_counter? Why is this needed: if is_openai_model:
Joevennerand others
added 3 commits
March 22, 2026 14:23
Joevenner@joeVenner
feat: Add multi-provider LLM support via LiteLLM integration
0b4ae8d
Replace OpenAI-only implementation with LiteLLM to support 100+ LLM providers
including Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, Groq,
and local Ollama models.
Changes:
- Add litellm>=1.0.0 dependency
- Refactor ChatGPT_API functions to use litellm.completion()
- Enhance count_tokens() for multi-provider token counting
- Update config.yaml with provider-specific model examples
- Update README.md with multi-provider setup instructions
Backward compatible: Existing OPENAI_API_KEY and CHATGPT_API_KEY still work.
Default model remains gpt-4o-2024-11-20.
@joeVenner
Refactored token counting to use LiteLLM for multi-provider support, …
4c34e60
…removing reliance on direct tiktoken and hardcoded models, while cleaning up tokenization logic to prevent crashes
@joeVenner@claude
Resolve merge conflicts: accept upstream LiteLLM integration
7d63209
Accept upstream's LiteLLM implementation (llm_completion/llm_acompletion,
pinned litellm==1.82.0, ConfigLoader, drop_params) which supersedes
our parallel implementation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@joeVenner
joeVennerforce-pushed
the
feat/Add_multi_provider_LLM_support_including_local_ollama
branch
from
acc22f7 to
7d63209CompareMarch 22, 2026 13:24
@joeVenner
joeVenner
commented
Mar 25, 2026

Copy link


Copy Markdown

Author
@ClimenteA Can you please check this PR when you have time ?
@KylinMountain
KylinMountain
commented
Jul 3, 2026

Copy link


Copy Markdown

Collaborator
Thanks @joeVenner! This is exactly the direction we took — multi-provider support via LiteLLM landed in #168 (merged), so llm_completion now routes through litellm.completion and works with any LiteLLM-supported provider by model name. Closing as already implemented; your PR helped validate the approach. 🙏
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers

@ClimenteAClimenteAAwaiting requested review from ClimenteA

Assignees


No one assigned


Labels


None yet


Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

5 participants

@joeVenner@jdiaz-elyndra@hoangvantuan@KylinMountain@ClimenteA

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
feat: Add multi-provider LLM support via LiteLLM integration - #110
Closed
joeVenner wants to merge 3 commits into
VectifyAI:mainfrom 
joeVenner:feat/Add_multi_provider_LLM_support_including_local_ollama
Closed
feat: Add multi-provider LLM support via LiteLLM integration#110
joeVenner wants to merge 3 commits into
VectifyAI:mainfrom 
joeVenner:feat/Add_multi_provider_LLM_support_including_local_ollama
Conversation
@joeVenner
@joeVennerjoeVenner
commented
Feb 14, 2026

Copy link


Copy Markdown

🌟 Add Multi-Provider LLM Support - Use Any LLM with PageIndex!
Summary
This PR transforms PageIndex from an OpenAI-only tool into a universal LLM-powered document indexing solution. By integrating LiteLLM, users can now choose from 100+ LLM providers including:
ProviderModelsSetup
🟢 OpenAIGPT-4o, GPT-4 TurboOPENAI_API_KEY
🟣 AnthropicClaude 3 Opus, Sonnet, HaikuANTHROPIC_API_KEY
🔵 GoogleGemini Pro, Gemini 1.5GEMINI_API_KEY
🟦 AzureAzure OpenAI deploymentsAZURE_API_KEY + base
🟠 AWS BedrockClaude, Llama on BedrockAWS credentials
⚡ GroqLlama 3.1, MixtralGROQ_API_KEY
🦙 Ollama (Local)Llama3, Mistral, QwenNo API key!
🚀 Key Features
  • Zero Breaking Changes: Fully backward compatible with existing setups
  • Local Model Support: Run completely offline with Ollama
  • Flexible Token Counting: Automatic tokenizer selection per provider
  • Simple Migration: Just change the model string!
📝 Usage Examples
# OpenAI (default - no changes needed)
python3 run_pageindex.py --pdf_path doc.pdf
# Claude 3 Opusexport ANTHROPIC_API_KEY=your_key
python3 run_pageindex.py --pdf_path doc.pdf --model claude-3-opus-20240229
# Local Ollama (no API key!)
ollama serve
python3 run_pageindex.py --pdf_path doc.pdf --model ollama/llama3
@jdiaz-elyndra
jdiaz-elyndra
commented
Feb 14, 2026
via email 

Copy link


Copy Markdown

@joeVenner
joeVenner
commented
Feb 15, 2026

Copy link


Copy Markdown

Author
@zmtomorrow Can you check please ?
@hoangvantuan
hoangvantuan
commented
Feb 25, 2026

Copy link


Copy Markdown

I really need this pull request.
@joeVenner
joeVenner
commented
Feb 25, 2026

Copy link


Copy Markdown

Author
@rejojer can you check ?
ClimenteA
ClimenteA
reviewed
Mar 22, 2026
View reviewed changes
Comment threadpageindex/utils.py
Outdated

 else:
 # Use LiteLLM's token counter for other providers
 try:
 return litellm.token_counter(model=model, text=text)
@ClimenteAClimenteAMar 22, 2026

Copy link


Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Why not use directly litellm.token_counter? Why is this needed: if is_openai_model:
Joevennerand others
added 3 commits
March 22, 2026 14:23
Joevenner@joeVenner
feat: Add multi-provider LLM support via LiteLLM integration
0b4ae8d
Replace OpenAI-only implementation with LiteLLM to support 100+ LLM providers
including Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, Groq,
and local Ollama models.
Changes:
- Add litellm>=1.0.0 dependency
- Refactor ChatGPT_API functions to use litellm.completion()
- Enhance count_tokens() for multi-provider token counting
- Update config.yaml with provider-specific model examples
- Update README.md with multi-provider setup instructions
Backward compatible: Existing OPENAI_API_KEY and CHATGPT_API_KEY still work.
Default model remains gpt-4o-2024-11-20.
@joeVenner
Refactored token counting to use LiteLLM for multi-provider support, …
4c34e60
…removing reliance on direct tiktoken and hardcoded models, while cleaning up tokenization logic to prevent crashes
@joeVenner@claude
Resolve merge conflicts: accept upstream LiteLLM integration
7d63209
Accept upstream's LiteLLM implementation (llm_completion/llm_acompletion,
pinned litellm==1.82.0, ConfigLoader, drop_params) which supersedes
our parallel implementation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@joeVenner
joeVennerforce-pushed
the
feat/Add_multi_provider_LLM_support_including_local_ollama
branch
from
acc22f7 to
7d63209CompareMarch 22, 2026 13:24
@joeVenner
joeVenner
commented
Mar 25, 2026

Copy link


Copy Markdown

Author
@ClimenteA Can you please check this PR when you have time ?
@KylinMountain
KylinMountain
commented
Jul 3, 2026

Copy link


Copy Markdown

Collaborator
Thanks @joeVenner! This is exactly the direction we took — multi-provider support via LiteLLM landed in #168 (merged), so llm_completion now routes through litellm.completion and works with any LiteLLM-supported provider by model name. Closing as already implemented; your PR helped validate the approach. 🙏
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers

@ClimenteAClimenteAAwaiting requested review from ClimenteA

Assignees


No one assigned


Labels


None yet


Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

5 participants

@joeVenner@jdiaz-elyndra@hoangvantuan@KylinMountain@ClimenteA

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
feat: Add multi-provider LLM support via LiteLLM integration - #110
Closed
joeVenner wants to merge 3 commits into
VectifyAI:mainfrom 
joeVenner:feat/Add_multi_provider_LLM_support_including_local_ollama
Closed
feat: Add multi-provider LLM support via LiteLLM integration#110
joeVenner wants to merge 3 commits into
VectifyAI:mainfrom 
joeVenner:feat/Add_multi_provider_LLM_support_including_local_ollama
Conversation
@joeVenner
@joeVennerjoeVenner
commented
Feb 14, 2026

Copy link


Copy Markdown

🌟 Add Multi-Provider LLM Support - Use Any LLM with PageIndex!
Summary
This PR transforms PageIndex from an OpenAI-only tool into a universal LLM-powered document indexing solution. By integrating LiteLLM, users can now choose from 100+ LLM providers including:
ProviderModelsSetup
🟢 OpenAIGPT-4o, GPT-4 TurboOPENAI_API_KEY
🟣 AnthropicClaude 3 Opus, Sonnet, HaikuANTHROPIC_API_KEY
🔵 GoogleGemini Pro, Gemini 1.5GEMINI_API_KEY
🟦 AzureAzure OpenAI deploymentsAZURE_API_KEY + base
🟠 AWS BedrockClaude, Llama on BedrockAWS credentials
⚡ GroqLlama 3.1, MixtralGROQ_API_KEY
🦙 Ollama (Local)Llama3, Mistral, QwenNo API key!
🚀 Key Features
  • Zero Breaking Changes: Fully backward compatible with existing setups
  • Local Model Support: Run completely offline with Ollama
  • Flexible Token Counting: Automatic tokenizer selection per provider
  • Simple Migration: Just change the model string!
📝 Usage Examples
# OpenAI (default - no changes needed)
python3 run_pageindex.py --pdf_path doc.pdf
# Claude 3 Opusexport ANTHROPIC_API_KEY=your_key
python3 run_pageindex.py --pdf_path doc.pdf --model claude-3-opus-20240229
# Local Ollama (no API key!)
ollama serve
python3 run_pageindex.py --pdf_path doc.pdf --model ollama/llama3
@jdiaz-elyndra
jdiaz-elyndra
commented
Feb 14, 2026
via email 

Copy link


Copy Markdown

@joeVenner
joeVenner
commented
Feb 15, 2026

Copy link


Copy Markdown

Author
@zmtomorrow Can you check please ?
@hoangvantuan
hoangvantuan
commented
Feb 25, 2026

Copy link


Copy Markdown

I really need this pull request.
@joeVenner
joeVenner
commented
Feb 25, 2026

Copy link


Copy Markdown

Author
@rejojer can you check ?
ClimenteA
ClimenteA
reviewed
Mar 22, 2026
View reviewed changes
Comment threadpageindex/utils.py
Outdated

 else:
 # Use LiteLLM's token counter for other providers
 try:
 return litellm.token_counter(model=model, text=text)
@ClimenteAClimenteAMar 22, 2026

Copy link


Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Why not use directly litellm.token_counter? Why is this needed: if is_openai_model:
Joevennerand others
added 3 commits
March 22, 2026 14:23
Joevenner@joeVenner
feat: Add multi-provider LLM support via LiteLLM integration
0b4ae8d
Replace OpenAI-only implementation with LiteLLM to support 100+ LLM providers
including Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, Groq,
and local Ollama models.
Changes:
- Add litellm>=1.0.0 dependency
- Refactor ChatGPT_API functions to use litellm.completion()
- Enhance count_tokens() for multi-provider token counting
- Update config.yaml with provider-specific model examples
- Update README.md with multi-provider setup instructions
Backward compatible: Existing OPENAI_API_KEY and CHATGPT_API_KEY still work.
Default model remains gpt-4o-2024-11-20.
@joeVenner
Refactored token counting to use LiteLLM for multi-provider support, …
4c34e60
…removing reliance on direct tiktoken and hardcoded models, while cleaning up tokenization logic to prevent crashes
@joeVenner@claude
Resolve merge conflicts: accept upstream LiteLLM integration
7d63209
Accept upstream's LiteLLM implementation (llm_completion/llm_acompletion,
pinned litellm==1.82.0, ConfigLoader, drop_params) which supersedes
our parallel implementation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@joeVenner
joeVennerforce-pushed
the
feat/Add_multi_provider_LLM_support_including_local_ollama
branch
from
acc22f7 to
7d63209CompareMarch 22, 2026 13:24
@joeVenner
joeVenner
commented
Mar 25, 2026

Copy link


Copy Markdown

Author
@ClimenteA Can you please check this PR when you have time ?
@KylinMountain
KylinMountain
commented
Jul 3, 2026

Copy link


Copy Markdown

Collaborator
Thanks @joeVenner! This is exactly the direction we took — multi-provider support via LiteLLM landed in #168 (merged), so llm_completion now routes through litellm.completion and works with any LiteLLM-supported provider by model name. Closing as already implemented; your PR helped validate the approach. 🙏
Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers

@ClimenteAClimenteAAwaiting requested review from ClimenteA

Assignees


No one assigned


Labels


None yet


Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

5 participants

@joeVenner@jdiaz-elyndra@hoangvantuan@KylinMountain@ClimenteA