{ "schema_version": 1, "generated": "2026-10-20", "id": "calmrocks-ai-engineer-notebooks--add-structured-output-and-tool-calls", "repo": "calmrocks/ai-engineer-notebooks", "repo_url": "https://github.com/calmrocks/ai-engineer-notebooks", "repo_slug": "calmrocks-ai-engineer-notebooks", "title": "Get reliable JSON and tool calls from a model in a backend service", "page_title": "How to get reliable JSON and tool calls from a model in a backend service with AI Engineer Notebooks", "summary": "Make a model return valid structured output and handle tool-call errors in a service.", "who": "A backend engineer adding an LLM step to an existing service that needs typed data back from the model.", "problem": "Model output that is almost JSON breaks parsers, and tool calls fail in ways the service does not handle.", "outcome": "A tested integration that parses structured output, calls tools, and handles the error paths.", "steps": [ "Run 01-model-apis/00-prompting-basics.ipynb to see how output-format specs change the result.", "Open 01-model-apis/01-structured-output.ipynb and find where the JSON breaks for your task.", "Work through 01-model-apis/02-tool-calling.ipynb, including the error paths.", "Add the reliability patterns from 08-operations/02-reliability-and-fallbacks.ipynb, such as retries and output validation.", "Run the golden set from 04-evals/01-golden-sets.ipynb to confirm the parser handles real inputs." ], "agent_prompt": "Using the repo calmrocks/ai-engineer-notebooks, work through 01-model-apis/01-structured-output.ipynb and 01-model-apis/02-tool-calling.ipynb for . Expected output: a parser that returns valid objects for every test input and a log of tool-call errors handled. Verify that malformed model output is caught and retried rather than passed on.", "agents": [ "any" ], "difficulty": "Intermediate", "time": "45 minutes", "basis": "readme", "caveat": "The notebooks run on Colab with the Groq API, so moving the code into your own service is a separate step the README does not cover.", "category": "Software and DevOps", "tags": [ "Software and DevOps" ], "lang": "jupyter notebook", "requirements": [ "A Google account to open Colab notebooks", "A free Groq API key from console.groq.com (no credit card needed)", "The key saved as a Colab secret, as the setup notebook describes", "Basic Python and comfort reading API responses" ], "risk": "dual-use", "seen_in_the_wild": false, "mentioned_publicly": false, "risks": [], "best": false, "score": 0.6, "evidence": [], "url": "https://dedupedai.com/use-cases/calmrocks-ai-engineer-notebooks/add-structured-output-and-tool-calls/", "md": "https://dedupedai.com/use-cases/calmrocks-ai-engineer-notebooks/add-structured-output-and-tool-calls/index.md", "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.", "api": "https://dedupedai.com/api/v1/usecases/calmrocks-ai-engineer-notebooks--add-structured-output-and-tool-calls.json", "api_version": "v1" }