{"adoption": {"forks": 82, "observed_at": "2026-08-28T04:03:44.213870+00:00", "stars": 1139}, "canonical_url": "https://ross.abutalabs.com/products/chameleon-llm", "card": {"archived": false, "artifact_type": "framework", "description": "Codes for \"Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models\".", "domain": ["artificial-intelligence", "large-language-models"], "enriched": true, "function": ["agent-framework", "llm-inference", "prompt-engineering", "rag", "nlp"], "health_score": 20, "homepage": "https://chameleon-llm.github.io", "language": "Jupyter Notebook", "license": "Apache-2.0", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["lupantech/chameleon-llm"], "name": "lupantech/chameleon-llm", "platform": ["python"], "pushed_at": "2023-12-23T03:36:42+00:00", "repo": "lupantech/chameleon-llm", "stars": 1139, "tags": ["compositional-reasoning", "tool-use", "gpt-4", "research-code", "planner", "ai-agents", "natural-language-processing"], "topics": ["python", "ai", "chatgpt", "gpt-4", "llm", "openai", "tool"], "urls": [], "use_cases": ["build an llm agent that chains tools like search and python execution", "reproduce the chameleon compositional reasoning paper results", "evaluate gpt-4 on scienceqa and tabmwp benchmarks", "prototype a planner that composes modular tools for question answering", "augment llm reasoning with vision models and knowledge retrieval"], "what_it_is": "Chameleon is a research framework for plug-and-play compositional reasoning with large language models, where an LLM planner synthesizes programs that compose tools such as vision models, web search, Python execution, and rule-based modules. It accompanies the NeurIPS 2023 paper and provides code and benchmarks (ScienceQA, TabMWP) demonstrating enhanced reasoning with GPT-4/ChatGPT.", "when_to_avoid": ["you need a production-ready, maintained agent framework", "you want to use open-source local LLMs rather than OpenAI APIs", "you need long-term support, as the repo is research code from 2023"], "when_to_choose": ["you want a research-grade example of LLM tool-use planning and composition", "you need to reproduce or extend the Chameleon paper's benchmarks", "you're exploring plug-and-play tool augmentation for GPT-4/ChatGPT"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/chameleon-llm", "repo": "lupantech/chameleon-llm", "role": "main", "score": 20}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:44.213870+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T06:35:52.823969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9e31ec27c75c637ecae32edcf59e2816e39031a93e6f9b202289d7c2401ec374", "fetched_at": "2026-08-28T04:03:44.213870+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lupantech/chameleon-llm"}, {"content_hash": "7c9d5b44f8cfe4c9ba4c34be5bdabd5ffe425ebb5681d820cc8e4a59aff2741b", "fetched_at": "2026-08-29T12:41:00.819938+00:00", "kind": "homepage", "missing": false, "url": "https://chameleon-llm.github.io"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:44.213870+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T06:35:52.823969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9e31ec27c75c637ecae32edcf59e2816e39031a93e6f9b202289d7c2401ec374", "fetched_at": "2026-08-28T04:03:44.213870+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lupantech/chameleon-llm"}, {"content_hash": "7c9d5b44f8cfe4c9ba4c34be5bdabd5ffe425ebb5681d820cc8e4a59aff2741b", "fetched_at": "2026-08-29T12:41:00.819938+00:00", "kind": "homepage", "missing": false, "url": "https://chameleon-llm.github.io"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T06:35:52.823969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9e31ec27c75c637ecae32edcf59e2816e39031a93e6f9b202289d7c2401ec374", "fetched_at": "2026-08-28T04:03:44.213870+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lupantech/chameleon-llm"}, {"content_hash": "7c9d5b44f8cfe4c9ba4c34be5bdabd5ffe425ebb5681d820cc8e4a59aff2741b", "fetched_at": "2026-08-29T12:41:00.819938+00:00", "kind": "homepage", "missing": false, "url": "https://chameleon-llm.github.io"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:44.213870+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:44.213870+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:44.213870+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T06:35:52.823969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9e31ec27c75c637ecae32edcf59e2816e39031a93e6f9b202289d7c2401ec374", "fetched_at": "2026-08-28T04:03:44.213870+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lupantech/chameleon-llm"}, {"content_hash": "7c9d5b44f8cfe4c9ba4c34be5bdabd5ffe425ebb5681d820cc8e4a59aff2741b", "fetched_at": "2026-08-29T12:41:00.819938+00:00", "kind": "homepage", "missing": false, "url": "https://chameleon-llm.github.io"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:44.213870+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:44.213870+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T06:35:52.823969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9e31ec27c75c637ecae32edcf59e2816e39031a93e6f9b202289d7c2401ec374", "fetched_at": "2026-08-28T04:03:44.213870+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lupantech/chameleon-llm"}, {"content_hash": "7c9d5b44f8cfe4c9ba4c34be5bdabd5ffe425ebb5681d820cc8e4a59aff2741b", "fetched_at": "2026-08-29T12:41:00.819938+00:00", "kind": "homepage", "missing": false, "url": "https://chameleon-llm.github.io"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:44.213870+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:44.213870+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:44.213870+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T06:35:52.823969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9e31ec27c75c637ecae32edcf59e2816e39031a93e6f9b202289d7c2401ec374", "fetched_at": "2026-08-28T04:03:44.213870+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lupantech/chameleon-llm"}, {"content_hash": "7c9d5b44f8cfe4c9ba4c34be5bdabd5ffe425ebb5681d820cc8e4a59aff2741b", "fetched_at": "2026-08-29T12:41:00.819938+00:00", "kind": "homepage", "missing": false, "url": "https://chameleon-llm.github.io"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:44.213870+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:44.213870+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T06:35:52.823969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9e31ec27c75c637ecae32edcf59e2816e39031a93e6f9b202289d7c2401ec374", "fetched_at": "2026-08-28T04:03:44.213870+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lupantech/chameleon-llm"}, {"content_hash": "7c9d5b44f8cfe4c9ba4c34be5bdabd5ffe425ebb5681d820cc8e4a59aff2741b", "fetched_at": "2026-08-29T12:41:00.819938+00:00", "kind": "homepage", "missing": false, "url": "https://chameleon-llm.github.io"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T06:35:52.823969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9e31ec27c75c637ecae32edcf59e2816e39031a93e6f9b202289d7c2401ec374", "fetched_at": "2026-08-28T04:03:44.213870+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lupantech/chameleon-llm"}, {"content_hash": "7c9d5b44f8cfe4c9ba4c34be5bdabd5ffe425ebb5681d820cc8e4a59aff2741b", "fetched_at": "2026-08-29T12:41:00.819938+00:00", "kind": "homepage", "missing": false, "url": "https://chameleon-llm.github.io"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T06:35:52.823969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9e31ec27c75c637ecae32edcf59e2816e39031a93e6f9b202289d7c2401ec374", "fetched_at": "2026-08-28T04:03:44.213870+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lupantech/chameleon-llm"}, {"content_hash": "7c9d5b44f8cfe4c9ba4c34be5bdabd5ffe425ebb5681d820cc8e4a59aff2741b", "fetched_at": "2026-08-29T12:41:00.819938+00:00", "kind": "homepage", "missing": false, "url": "https://chameleon-llm.github.io"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T06:35:52.823969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "9e31ec27c75c637ecae32edcf59e2816e39031a93e6f9b202289d7c2401ec374", "fetched_at": "2026-08-28T04:03:44.213870+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lupantech/chameleon-llm"}, {"content_hash": "7c9d5b44f8cfe4c9ba4c34be5bdabd5ffe425ebb5681d820cc8e4a59aff2741b", "fetched_at": "2026-08-29T12:41:00.819938+00:00", "kind": "homepage", "missing": false, "url": "https://chameleon-llm.github.io"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 88, "rhythm": 8}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1232, "days_push": 984, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 20, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}