[PR #32] [CLOSED] Replace individual LLM providers with unified LiteLLM integration #41

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opened 2026-03-02 04:08:00 +03:00 by kerem · 0 comments
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📋 Pull Request Information

Original PR: https://github.com/gadievron/raptor/pull/32
Author: @gadievron
Created: 12/10/2025
Status: Closed

Base: mainHead: feat/litellm-integration


📝 Commits (1)

  • 0a0f6b1 Replace individual LLM providers with unified LiteLLM integration

📊 Changes

10 files changed (+362 additions, -438 deletions)

View changed files

📝 README.md (+23 -3)
📝 packages/autonomous/dialogue.py (+6 -6)
📝 packages/llm_analysis/agent.py (+27 -24)
📝 packages/llm_analysis/crash_agent.py (+9 -10)
📝 packages/llm_analysis/llm/client.py (+21 -11)
📝 packages/llm_analysis/llm/config.py (+14 -12)
📝 packages/llm_analysis/llm/providers.py (+248 -360)
📝 packages/web/fuzzer.py (+2 -3)
📝 packages/web/scanner.py (+7 -3)
📝 requirements.txt (+5 -6)

📄 Description

Summary

Replaces custom ClaudeProvider, OpenAIProvider, and OllamaProvider (~360 lines) with unified LiteLLMProvider (~180 lines) using LiteLLM + Instructor libraries.

Key improvements:

  • 50% code reduction (~400 lines → ~180 lines)
  • Support for 100+ LLM providers (adds Gemini support)
  • Fix Ollama array wrapping bugs (ollama/ollama#8000, #8063)
  • Enhanced security (API key sanitization)
  • 100% backward compatible via provider aliases

Files Changed (10 files)

Core LLM:

  • packages/llm_analysis/llm/providers.py - Replace 3 providers with unified LiteLLMProvider
  • packages/llm_analysis/llm/config.py - Add Gemini support, fix unnecessary lambdas
  • packages/llm_analysis/llm/client.py - Add API key sanitization, LiteLLM redaction

Integration:

  • packages/llm_analysis/agent.py - Update imports, initialization
  • packages/llm_analysis/crash_agent.py - Update imports, initialization
  • packages/autonomous/dialogue.py - Update type hints
  • packages/web/fuzzer.py - Update type hints
  • packages/web/scanner.py - Update initialization

Dependencies & Docs:

  • requirements.txt - Add litellm, instructor, pydantic
  • README.md - Add AI assistant guide docs

Testing

15 comprehensive tests running in background:

  • 6 analyze tests (Anthropic, Gemini, OpenAI, Ollama)
  • 1 agentic workflow test
  • 4 scan tests (secrets, crypto, owasp, all)
  • 1 binary fuzzing test
  • 2 threat modeling tests (Gemini, OpenAI)
  • 1 real test suite

Backward Compatibility

100% compatible via aliases:

ClaudeProvider = LiteLLMProvider
OpenAIProvider = LiteLLMProvider  
OllamaProvider = LiteLLMProvider

🤖 Generated with Claude Code


Note

Replaces bespoke LLM providers with a single LiteLLM-based implementation and updates agents/web tooling, config, docs, and deps accordingly.

  • LLM Core:
    • Replace ClaudeProvider/OpenAIProvider/OllamaProvider with unified LiteLLMProvider in packages/llm_analysis/llm/providers.py (Instructor + Pydantic for structured output; provider aliases maintained).
    • Enhance packages/llm_analysis/llm/client.py: redact API keys in logs, sanitize errors, simplify retry/backoff, cache/usage unchanged.
    • Expand packages/llm_analysis/llm/config.py: add Gemini default, prefer reasoning models for Ollama, remove lambda wrappers, keep retry settings.
  • Agents & Workflows:
    • Migrate imports and types to LLMProvider/create_provider in packages/autonomous/dialogue.py, packages/llm_analysis/agent.py, packages/llm_analysis/crash_agent.py, packages/web/{fuzzer.py,scanner.py}.
    • Drop task_type arg from llm.generate/generate_structured calls; adjust structured calls to return (data, full_response).
    • agent.py: always attempt patch generation (not gated on exploitability), adjust LLM stats to provider totals, minor logging tweaks.
  • Web:
    • Initialize LLM via LLMConfig + create_provider in CLI; update fuzzer payload generation to new structured API.
  • Docs & Deps:
    • README.md: reorganize Documentation section; add AI assistant guide links.
    • requirements.txt: add litellm, instructor, pydantic; streamline provider notes.

Written by Cursor Bugbot for commit 0a0f6b1d9e. This will update automatically on new commits. Configure here.


🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/gadievron/raptor/pull/32 **Author:** [@gadievron](https://github.com/gadievron) **Created:** 12/10/2025 **Status:** ❌ Closed **Base:** `main` ← **Head:** `feat/litellm-integration` --- ### 📝 Commits (1) - [`0a0f6b1`](https://github.com/gadievron/raptor/commit/0a0f6b1d9e0a929bf7673d08e987a3f4c7b2bf60) Replace individual LLM providers with unified LiteLLM integration ### 📊 Changes **10 files changed** (+362 additions, -438 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+23 -3) 📝 `packages/autonomous/dialogue.py` (+6 -6) 📝 `packages/llm_analysis/agent.py` (+27 -24) 📝 `packages/llm_analysis/crash_agent.py` (+9 -10) 📝 `packages/llm_analysis/llm/client.py` (+21 -11) 📝 `packages/llm_analysis/llm/config.py` (+14 -12) 📝 `packages/llm_analysis/llm/providers.py` (+248 -360) 📝 `packages/web/fuzzer.py` (+2 -3) 📝 `packages/web/scanner.py` (+7 -3) 📝 `requirements.txt` (+5 -6) </details> ### 📄 Description ## Summary Replaces custom ClaudeProvider, OpenAIProvider, and OllamaProvider (~360 lines) with unified LiteLLMProvider (~180 lines) using LiteLLM + Instructor libraries. **Key improvements:** - 50% code reduction (~400 lines → ~180 lines) - Support for 100+ LLM providers (adds Gemini support) - Fix Ollama array wrapping bugs (ollama/ollama#8000, #8063) - Enhanced security (API key sanitization) - 100% backward compatible via provider aliases ## Files Changed (10 files) **Core LLM:** - `packages/llm_analysis/llm/providers.py` - Replace 3 providers with unified LiteLLMProvider - `packages/llm_analysis/llm/config.py` - Add Gemini support, fix unnecessary lambdas - `packages/llm_analysis/llm/client.py` - Add API key sanitization, LiteLLM redaction **Integration:** - `packages/llm_analysis/agent.py` - Update imports, initialization - `packages/llm_analysis/crash_agent.py` - Update imports, initialization - `packages/autonomous/dialogue.py` - Update type hints - `packages/web/fuzzer.py` - Update type hints - `packages/web/scanner.py` - Update initialization **Dependencies & Docs:** - `requirements.txt` - Add litellm, instructor, pydantic - `README.md` - Add AI assistant guide docs ## Testing 15 comprehensive tests running in background: - 6 analyze tests (Anthropic, Gemini, OpenAI, Ollama) - 1 agentic workflow test - 4 scan tests (secrets, crypto, owasp, all) - 1 binary fuzzing test - 2 threat modeling tests (Gemini, OpenAI) - 1 real test suite ## Backward Compatibility 100% compatible via aliases: ```python ClaudeProvider = LiteLLMProvider OpenAIProvider = LiteLLMProvider OllamaProvider = LiteLLMProvider ``` 🤖 Generated with [Claude Code](https://claude.com/claude-code) <!-- CURSOR_SUMMARY --> --- > [!NOTE] > Replaces bespoke LLM providers with a single LiteLLM-based implementation and updates agents/web tooling, config, docs, and deps accordingly. > > - **LLM Core**: > - Replace `ClaudeProvider`/`OpenAIProvider`/`OllamaProvider` with unified `LiteLLMProvider` in `packages/llm_analysis/llm/providers.py` (Instructor + Pydantic for structured output; provider aliases maintained). > - Enhance `packages/llm_analysis/llm/client.py`: redact API keys in logs, sanitize errors, simplify retry/backoff, cache/usage unchanged. > - Expand `packages/llm_analysis/llm/config.py`: add Gemini default, prefer reasoning models for Ollama, remove lambda wrappers, keep retry settings. > - **Agents & Workflows**: > - Migrate imports and types to `LLMProvider`/`create_provider` in `packages/autonomous/dialogue.py`, `packages/llm_analysis/agent.py`, `packages/llm_analysis/crash_agent.py`, `packages/web/{fuzzer.py,scanner.py}`. > - Drop `task_type` arg from `llm.generate`/`generate_structured` calls; adjust structured calls to return `(data, full_response)`. > - `agent.py`: always attempt patch generation (not gated on exploitability), adjust LLM stats to provider totals, minor logging tweaks. > - **Web**: > - Initialize LLM via `LLMConfig` + `create_provider` in CLI; update fuzzer payload generation to new structured API. > - **Docs & Deps**: > - `README.md`: reorganize Documentation section; add AI assistant guide links. > - `requirements.txt`: add `litellm`, `instructor`, `pydantic`; streamline provider notes. > > <sup>Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 0a0f6b1d9e0a929bf7673d08e987a3f4c7b2bf60. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).</sup> <!-- /CURSOR_SUMMARY --> --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
kerem 2026-03-02 04:08:00 +03:00
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starred/raptor#41
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