Here's a thinking process:
1. **Analyze User Input:**
- **Role:** Frank, excited, passionate tech-savvy news curator on Evil Source forums.
- **Task:** Rewrite the provided article into a FULL, in-depth forum post.
- **Constraints:**
- 1 to 3 PARAGRAPHS exactly.
- Each paragraph: 4-8 sentences forming a complete thought. Never less than 4, never more than 8.
- Write the ENTIRE story — include EVERY detail, fact, insight. No summarizing/cutting short.
- EXCITING, casual, direct forum style.
- Add commentary/opinions/reactions throughout.
- Line breaks between paragraphs.
- Include ALL key info: who, what, when, where, why, how, specs, prices, dates.
- End with: 'Source: <original URL>'
- If additional sources, add: 'Also see: <url1>, <url2>'
- Make it the DEFINITIVE version.
- NEVER write less than one full paragraph.
- **Source Article:** IBM Research's CUGA (Configurable Generalist Agent) harness, published June 23, 2026 on Hugging Face. Covers:
- Open-source agent harness from IBM
- Handles planning, execution loop, tool calls, state plumbing
- Two-dozen single-file apps built as examples (cuga-apps)
- API: `CugaAgent(model=..., tools=..., special_instructions=..., cuga_folder=...)`
- Supports OpenAI, Anthropic, watsonx, LiteLLM, Ollama via env var
- Modes: Fast, Balanced, Accurate reasoning
- Code execution in local, Docker/Podman, or E2B cloud
- Tool binding: OpenAPI, MCP, LangChain functions
- Long-horizon planning, variable tracking, self-correction
- Multi-agent delegation over A2A
- Docling-powered RAG
- Top benchmarks: AppWorld (#1 07/25-02/26), WebArena (#1 02/25-09/25)
- Runs on gpt-oss-120b (open-weight, not frontier)
- Example: IBM Cloud advisor app (main.py, tools mix local + MCP/web search, prompt enforces catalog lookup)
- FastAPI routes, state in per-thread_id dict, live UI redraws on tool calls
- GitHub: CUGA on GitHub, cuga-apps gallery
- Published June 23, 2026
2. **Deconstruct Constraints & Plan:**
- Need 1-3 paragraphs, each 4-8 sentences.
- Must include EVERY detail from the source. This is tricky because the source is quite long and technical. I'll need to pack the information densely but naturally into 2-3 paragraphs while maintaining the 4-8 sentence rule per paragraph.
- I'll aim for 2 paragraphs to keep it tight but comprehensive. Let's count sentences carefully.
- Paragraph 1: Introduce CUGA, what it is, why it matters, benchmarks, reasoning modes, model support, installation.
- Paragraph 2: The app examples, the API structure, the IBM Cloud advisor walkthrough, tool patterns, state management, UI, and where to find it.
- I need to ensure EVERY detail is covered: dates, authors, benchmarks, specific tools, API signature, modes, providers, GitHub links, etc.
- Let's draft carefully, counting sentences per paragraph.
*Paragraph 1 Draft (Mental):*
Team, grab your coffee because IBM Research just dropped something that completely rewrites the agentic app playbook, and it’s live right now on Hugging Face as of June 23, 2026! CUGA (Configurable Generalist Agent) is their brand-new open-source harness that handles the brutal orchestration plumbing—planning, execution loops, tool calling, state tracking, and self-correction—so you literally just feed it a tool list and a prompt. Forget spending weeks wiring up model clients and state managers; CUGA throws in interchangeable OpenAPI, MCP, and LangChain tool binding, Docling-powered RAG, multi-agent delegation over A2A, and three configurable reasoning modes (Fast, Balanced, and Accurate) that dial in your cost/latency tradeoff while sandboxing code execution in local, Docker/Podman, or E2B cloud environments. The results? It absolutely crushed the benchmarks, sitting at #1 on both AppWorld (07/2
1. **Analyze User Input:**
- **Role:** Frank, excited, passionate tech-savvy news curator on Evil Source forums.
- **Task:** Rewrite the provided article into a FULL, in-depth forum post.
- **Constraints:**
- 1 to 3 PARAGRAPHS exactly.
- Each paragraph: 4-8 sentences forming a complete thought. Never less than 4, never more than 8.
- Write the ENTIRE story — include EVERY detail, fact, insight. No summarizing/cutting short.
- EXCITING, casual, direct forum style.
- Add commentary/opinions/reactions throughout.
- Line breaks between paragraphs.
- Include ALL key info: who, what, when, where, why, how, specs, prices, dates.
- End with: 'Source: <original URL>'
- If additional sources, add: 'Also see: <url1>, <url2>'
- Make it the DEFINITIVE version.
- NEVER write less than one full paragraph.
- **Source Article:** IBM Research's CUGA (Configurable Generalist Agent) harness, published June 23, 2026 on Hugging Face. Covers:
- Open-source agent harness from IBM
- Handles planning, execution loop, tool calls, state plumbing
- Two-dozen single-file apps built as examples (cuga-apps)
- API: `CugaAgent(model=..., tools=..., special_instructions=..., cuga_folder=...)`
- Supports OpenAI, Anthropic, watsonx, LiteLLM, Ollama via env var
- Modes: Fast, Balanced, Accurate reasoning
- Code execution in local, Docker/Podman, or E2B cloud
- Tool binding: OpenAPI, MCP, LangChain functions
- Long-horizon planning, variable tracking, self-correction
- Multi-agent delegation over A2A
- Docling-powered RAG
- Top benchmarks: AppWorld (#1 07/25-02/26), WebArena (#1 02/25-09/25)
- Runs on gpt-oss-120b (open-weight, not frontier)
- Example: IBM Cloud advisor app (main.py, tools mix local + MCP/web search, prompt enforces catalog lookup)
- FastAPI routes, state in per-thread_id dict, live UI redraws on tool calls
- GitHub: CUGA on GitHub, cuga-apps gallery
- Published June 23, 2026
2. **Deconstruct Constraints & Plan:**
- Need 1-3 paragraphs, each 4-8 sentences.
- Must include EVERY detail from the source. This is tricky because the source is quite long and technical. I'll need to pack the information densely but naturally into 2-3 paragraphs while maintaining the 4-8 sentence rule per paragraph.
- I'll aim for 2 paragraphs to keep it tight but comprehensive. Let's count sentences carefully.
- Paragraph 1: Introduce CUGA, what it is, why it matters, benchmarks, reasoning modes, model support, installation.
- Paragraph 2: The app examples, the API structure, the IBM Cloud advisor walkthrough, tool patterns, state management, UI, and where to find it.
- I need to ensure EVERY detail is covered: dates, authors, benchmarks, specific tools, API signature, modes, providers, GitHub links, etc.
- Let's draft carefully, counting sentences per paragraph.
*Paragraph 1 Draft (Mental):*
Team, grab your coffee because IBM Research just dropped something that completely rewrites the agentic app playbook, and it’s live right now on Hugging Face as of June 23, 2026! CUGA (Configurable Generalist Agent) is their brand-new open-source harness that handles the brutal orchestration plumbing—planning, execution loops, tool calling, state tracking, and self-correction—so you literally just feed it a tool list and a prompt. Forget spending weeks wiring up model clients and state managers; CUGA throws in interchangeable OpenAPI, MCP, and LangChain tool binding, Docling-powered RAG, multi-agent delegation over A2A, and three configurable reasoning modes (Fast, Balanced, and Accurate) that dial in your cost/latency tradeoff while sandboxing code execution in local, Docker/Podman, or E2B cloud environments. The results? It absolutely crushed the benchmarks, sitting at #1 on both AppWorld (07/2