df667e0db8
- web/: Local chat UI (Express + WS → Codex bridge) - openwebui/: Preset, pipelines, knowledge manifest - Dockerfile + docker-compose.yml - Updated README with 3 frontend options - CLI-agnostic: works with Codex, Claude Code, Kiro, Gemini
62 lines
1.7 KiB
Markdown
62 lines
1.7 KiB
Markdown
# Open WebUI Integration
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Drop-in configuration to use the PM Factory repo with [Open WebUI](https://github.com/open-webui/open-webui).
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## Quick Setup
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### 1. Connect Your Model Provider
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In Open WebUI → Settings → Connections, add:
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| Field | Value |
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|-------|-------|
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| URL | `http://<your-kiro-gateway>:8000/v1` |
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| API Key | Your gateway API key |
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| Model | `claude-opus-4.6` |
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Any OpenAI-compatible provider works (Kiro Gateway, LiteLLM, Ollama, etc).
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### 2. Import the Preset
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Go to Workspace → Models → Import, and upload `preset.json`.
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This creates a "Reltio PM Factory" model preset with the full system prompt from AGENTS.md baked in.
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### 3. Upload Knowledge (Optional)
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Go to Workspace → Knowledge → Create Collection called "PM Factory".
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Upload these directories as documents:
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- `skills/epics-standards/references/`
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- `skills/factory-standards/` (after running `manager.py update`)
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- `skills/bmad-suite/` (after running `manager.py update`)
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Then attach the collection to your preset in Model settings → Knowledge.
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### 4. Install Pipelines (Optional)
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Pipelines let the model execute tools (Jira, Aha!, Gainsight) directly.
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Copy the files from `pipelines/` into your Open WebUI pipelines directory, or upload them via the Pipelines UI.
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Required env vars (set in Open WebUI → Settings → Pipelines):
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- `AHA_API_KEY`
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- `AHA_DOMAIN`
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- `GAINSIGHT_PX_API_KEY`
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- `MCPORTER_CONFIG` — path to `config/mcporter.json`
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---
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## Architecture
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```
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Open WebUI (browser)
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↕ OpenAI-compatible API
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Any LLM Provider (Kiro / Ollama / LiteLLM / OpenAI)
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+ System Prompt (preset.json ← AGENTS.md)
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+ RAG Knowledge (skills docs)
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+ Pipelines (mcporter, aha, gainsight, bmad)
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```
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The repo remains CLI-agnostic. This is just one frontend option.
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