runpod

valknar/runpod

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Commit Graph

Author	SHA1	Message	Date
Sebastian Krüger	d21caa56bc	fix: implement incremental streaming deltas for vLLM chat completions - Track previous_text to calculate deltas instead of sending full accumulated text - Fixes WebUI streaming issue where responses appeared empty - Only send new tokens in each SSE chunk delta - Resolves OpenAI API compatibility for streaming chat completions	2025-11-21 17:23:18 +01:00
Sebastian Krüger	9a637cc4fc	refactor: clean Docker files and restore standalone model services - Remove all Docker-related files (Dockerfiles, compose.yaml) - Remove documentation files (README, ARCHITECTURE, docs/) - Remove old core/ directory (base_service, service_manager) - Update models.yaml with correct service_script paths (models/*/server.py) - Simplify vLLM requirements.txt to let vLLM manage dependencies - Restore original standalone vLLM server (no base_service dependency) - Remove obsolete vllm/, musicgen/, flux/ directories Process-based architecture is now fully functional on RunPod. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-11-21 16:17:38 +01:00
Sebastian Krüger	9ee626a78e	feat: implement Ansible-based process architecture for RunPod Major architecture overhaul to address RunPod Docker limitations: Core Infrastructure: - Add base_service.py: Abstract base class for all AI services - Add service_manager.py: Process lifecycle management - Add core/requirements.txt: Core dependencies Model Services (Standalone Python): - Add models/vllm/server.py: Qwen 2.5 7B text generation - Add models/flux/server.py: Flux.1 Schnell image generation - Add models/musicgen/server.py: MusicGen Medium music generation - Each service inherits from GPUService base class - OpenAI-compatible APIs - Standalone execution support Ansible Deployment: - Add playbook.yml: Comprehensive deployment automation - Add ansible.cfg: Ansible configuration - Add inventory.yml: Localhost inventory - Tags: base, python, dependencies, models, tailscale, validate, cleanup Scripts: - Add scripts/install.sh: Full installation wrapper - Add scripts/download-models.sh: Model download wrapper - Add scripts/start-all.sh: Start orchestrator - Add scripts/stop-all.sh: Stop all services Documentation: - Update ARCHITECTURE.md: Document distributed VPS+GPU architecture Benefits: - No Docker: Avoids RunPod CAP_SYS_ADMIN limitations - Fully reproducible via Ansible - Extensible: Add models in 3 steps - Direct Python execution (no container overhead) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-11-21 15:37:18 +01:00

Author

SHA1

Message

Date

Sebastian Krüger

d21caa56bc

fix: implement incremental streaming deltas for vLLM chat completions

- Track previous_text to calculate deltas instead of sending full accumulated text
- Fixes WebUI streaming issue where responses appeared empty
- Only send new tokens in each SSE chunk delta
- Resolves OpenAI API compatibility for streaming chat completions

2025-11-21 17:23:18 +01:00

Sebastian Krüger

9a637cc4fc

refactor: clean Docker files and restore standalone model services

- Remove all Docker-related files (Dockerfiles, compose.yaml)
- Remove documentation files (README, ARCHITECTURE, docs/)
- Remove old core/ directory (base_service, service_manager)
- Update models.yaml with correct service_script paths (models/*/server.py)
- Simplify vLLM requirements.txt to let vLLM manage dependencies
- Restore original standalone vLLM server (no base_service dependency)
- Remove obsolete vllm/, musicgen/, flux/ directories

Process-based architecture is now fully functional on RunPod.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

2025-11-21 16:17:38 +01:00

Sebastian Krüger

9ee626a78e

feat: implement Ansible-based process architecture for RunPod

Major architecture overhaul to address RunPod Docker limitations:

Core Infrastructure:
- Add base_service.py: Abstract base class for all AI services
- Add service_manager.py: Process lifecycle management
- Add core/requirements.txt: Core dependencies

Model Services (Standalone Python):
- Add models/vllm/server.py: Qwen 2.5 7B text generation
- Add models/flux/server.py: Flux.1 Schnell image generation
- Add models/musicgen/server.py: MusicGen Medium music generation
- Each service inherits from GPUService base class
- OpenAI-compatible APIs
- Standalone execution support

Ansible Deployment:
- Add playbook.yml: Comprehensive deployment automation
- Add ansible.cfg: Ansible configuration
- Add inventory.yml: Localhost inventory
- Tags: base, python, dependencies, models, tailscale, validate, cleanup

Scripts:
- Add scripts/install.sh: Full installation wrapper
- Add scripts/download-models.sh: Model download wrapper
- Add scripts/start-all.sh: Start orchestrator
- Add scripts/stop-all.sh: Stop all services

Documentation:
- Update ARCHITECTURE.md: Document distributed VPS+GPU architecture

Benefits:
- No Docker: Avoids RunPod CAP_SYS_ADMIN limitations
- Fully reproducible via Ansible
- Extensible: Add models in 3 steps
- Direct Python execution (no container overhead)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

2025-11-21 15:37:18 +01:00

3 Commits