hack/tools/scripts/llm-key-hunter/results/_cache/content/anthonyrodrigues443_autonomous-ml-and-llm-iteration-agent.json

{"repo": "anthonyrodrigues443/autonomous-ml-and-llm-iteration-agent", "files": {".env.example": {"4fca15e649879f1464c990930a1ab44e408a8c69": {"t": 1785747077.1963506, "n": 2218, "h": "d91cc2e7f34e1122", "c": "# Copy this file to .env and fill in real values. .env is gitignored.\n# See pyproject.toml for which keys are required vs optional.\n\n# ═══════════════════════════════════════════════════════════════\n#  Default: LOCAL Ollama backend — $0, no API keys, fully private\n# ═══════════════════════════════════════════════════════════════\n\nITERATE_BACKEND_URL=http://localhost:11434/v1\nITERATE_BACKEND_API_KEY=ollama\nITERATE_MODEL=qwen3:14b\nITERATE_BACKEND_TIMEOUT=120\n\n# Run `ollama pull qwen3:14b` then `ollama serve` to start.\n# (qwen3 emits structured tool calls — required for the agentic loop; the\n#  qwen2.5-coder variant does not. qwen3 also has a thinking mode on by default.)\n# Any OpenAI-compatible endpoint works here — just change the URL + model.\n\n# ─── Required: sandbox for code execution ────────────────────\nE2B_API_KEY=\n\n# ─── Required: dataset access ────────────────────────────────\nKAGGLE_USERNAME=\nKAGGLE_KEY=\n\n# ═══════════════════════════════════════════════════════════════\n#  Optional: cloud LLM backends (switch ITERATE_BACKEND_URL to use)\n# ═══════════════════════════════════════════════════════════════\n\n# Groq — free tier, fast Llama 3.3 70B\n# ITERATE_BACKEND_URL=https://api.groq.com/openai/v1\n# ITERATE_BACKEND_API_KEY=<your-groq-key>\n# ITERATE_MODEL=llama-3.3-70b-versatile\nGROQ_API_KEY=\n\n# Together AI — paid, very cheap Llama 3.3 70B\n# ITERATE_BACKEND_URL=https://api.together.xyz/v1\n# ITERATE_BACKEND_API_KEY=<your-together-key>\n# ITERATE_MODEL=meta-llama/Llama-3.3-70B-Instruct-Turbo\nTOGETHER_API_KEY=\n\n# Deepseek — paid, strong on code\n# ITERATE_BACKEND_URL=https://api.deepseek.com/v1\n# ITERATE_BACKEND_API_KEY=<your-deepseek-key>\n# ITERATE_MODEL=deepseek-chat\nDEEPSEEK_API_KEY=\n\n# OpenAI — for GPT-4/5\nOPENAI_API_KEY=\n\n# Anthropic — for Claude (uses separate non-OpenAI-compatible adapter)\nANTHROPIC_API_KEY=\n\n# ─── Optional: logging adapters ──────────────────────────────\nNOTION_API_KEY=\nNOTION_DATABASE_ID=\nSLACK_WEBHOOK_URL=\n\n# ─── Optional: tracing ───────────────────────────────────────\nLANGFUSE_PUBLIC_KEY=\nLANGFUSE_SECRET_KEY=\nLANGFUSE_HOST=\n\n# ─── Local config ────────────────────────────────────────────\nITERATE_MEMORY_DB=.iterate/memory.db\nITERATE_RUNS_DIR=.iterate/runs\n"}, "57f9a83c6f8e322ce2b598423dcc7e70ab73164a": {"t": 1785770269.9334006, "n": 2218, "h": "d91cc2e7f34e1122", "c": "# Copy this file to .env and fill in real values. .env is gitignored.\n# See pyproject.toml for which keys are required vs optional.\n\n# ═══════════════════════════════════════════════════════════════\n#  Default: LOCAL Ollama backend — $0, no API keys, fully private\n# ═══════════════════════════════════════════════════════════════\n\nITERATE_BACKEND_URL=http://localhost:11434/v1\nITERATE_BACKEND_API_KEY=ollama\nITERATE_MODEL=qwen3:14b\nITERATE_BACKEND_TIMEOUT=120\n\n# Run `ollama pull qwen3:14b` then `ollama serve` to start.\n# (qwen3 emits structured tool calls — required for the agentic loop; the\n#  qwen2.5-coder variant does not. qwen3 also has a thinking mode on by default.)\n# Any OpenAI-compatible endpoint works here — just change the URL + model.\n\n# ─── Required: sandbox for code execution ────────────────────\nE2B_API_KEY=\n\n# ─── Required: dataset access ────────────────────────────────\nKAGGLE_USERNAME=\nKAGGLE_KEY=\n\n# ═══════════════════════════════════════════════════════════════\n#  Optional: cloud LLM backends (switch ITERATE_BACKEND_URL to use)\n# ═══════════════════════════════════════════════════════════════\n\n# Groq — free tier, fast Llama 3.3 70B\n# ITERATE_BACKEND_URL=https://api.groq.com/openai/v1\n# ITERATE_BACKEND_API_KEY=<your-groq-key>\n# ITERATE_MODEL=llama-3.3-70b-versatile\nGROQ_API_KEY=\n\n# Together AI — paid, very cheap Llama 3.3 70B\n# ITERATE_BACKEND_URL=https://api.together.xyz/v1\n# ITERATE_BACKEND_API_KEY=<your-together-key>\n# ITERATE_MODEL=meta-llama/Llama-3.3-70B-Instruct-Turbo\nTOGETHER_API_KEY=\n\n# Deepseek — paid, strong on code\n# ITERATE_BACKEND_URL=https://api.deepseek.com/v1\n# ITERATE_BACKEND_API_KEY=<your-deepseek-key>\n# ITERATE_MODEL=deepseek-chat\nDEEPSEEK_API_KEY=\n\n# OpenAI — for GPT-4/5\nOPENAI_API_KEY=\n\n# Anthropic — for Claude (uses separate non-OpenAI-compatible adapter)\nANTHROPIC_API_KEY=\n\n# ─── Optional: logging adapters ──────────────────────────────\nNOTION_API_KEY=\nNOTION_DATABASE_ID=\nSLACK_WEBHOOK_URL=\n\n# ─── Optional: tracing ───────────────────────────────────────\nLANGFUSE_PUBLIC_KEY=\nLANGFUSE_SECRET_KEY=\nLANGFUSE_HOST=\n\n# ─── Local config ────────────────────────────────────────────\nITERATE_MEMORY_DB=.iterate/memory.db\nITERATE_RUNS_DIR=.iterate/runs\n"}, "3d760e6738f4a7d9f5c060da1638d2b4b9c9e1a6": {"t": 1785770271.394142, "n": 2078, "h": "379125827bfbe89f", "c": "# Copy this file to .env and fill in real values. .env is gitignored.\n# See pyproject.toml for which keys are required vs optional.\n\n# ═══════════════════════════════════════════════════════════════\n#  Default: LOCAL Ollama backend — $0, no API keys, fully private\n# ═══════════════════════════════════════════════════════════════\n\nITERATE_BACKEND_URL=http://localhost:11434/v1\nITERATE_BACKEND_API_KEY=ollama\nITERATE_MODEL=qwen2.5-coder:14b\nITERATE_BACKEND_TIMEOUT=120\n\n# Run `ollama pull qwen2.5-coder:14b` then `ollama serve` to start.\n# Any OpenAI-compatible endpoint works here — just change the URL + model.\n\n# ─── Required: sandbox for code execution ────────────────────\nE2B_API_KEY=\n\n# ─── Required: dataset access ────────────────────────────────\nKAGGLE_USERNAME=\nKAGGLE_KEY=\n\n# ═══════════════════════════════════════════════════════════════\n#  Optional: cloud LLM backends (switch ITERATE_BACKEND_URL to use)\n# ═══════════════════════════════════════════════════════════════\n\n# Groq — free tier, fast Llama 3.3 70B\n# ITERATE_BACKEND_URL=https://api.groq.com/openai/v1\n# ITERATE_BACKEND_API_KEY=<your-groq-key>\n# ITERATE_MODEL=llama-3.3-70b-versatile\nGROQ_API_KEY=\n\n# Together AI — paid, very cheap Llama 3.3 70B\n# ITERATE_BACKEND_URL=https://api.together.xyz/v1\n# ITERATE_BACKEND_API_KEY=<your-together-key>\n# ITERATE_MODEL=meta-llama/Llama-3.3-70B-Instruct-Turbo\nTOGETHER_API_KEY=\n\n# Deepseek — paid, strong on code\n# ITERATE_BACKEND_URL=https://api.deepseek.com/v1\n# ITERATE_BACKEND_API_KEY=<your-deepseek-key>\n# ITERATE_MODEL=deepseek-chat\nDEEPSEEK_API_KEY=\n\n# OpenAI — for GPT-4/5\nOPENAI_API_KEY=\n\n# Anthropic — for Claude (uses separate non-OpenAI-compatible adapter)\nANTHROPIC_API_KEY=\n\n# ─── Optional: logging adapters ──────────────────────────────\nNOTION_API_KEY=\nNOTION_DATABASE_ID=\nSLACK_WEBHOOK_URL=\n\n# ─── Optional: tracing ───────────────────────────────────────\nLANGFUSE_PUBLIC_KEY=\nLANGFUSE_SECRET_KEY=\nLANGFUSE_HOST=\n\n# ─── Local config ────────────────────────────────────────────\nITERATE_MEMORY_DB=.iterate/memory.db\nITERATE_RUNS_DIR=.iterate/runs\n"}, "7da26a9d1cbfcb5de3aae8f46a49397e41885f5b": {"t": 1785770272.674322, "n": 2050, "h": "0173a9c9a17622e4", "c": "# Copy this file to .env and fill in real values. .env is gitignored.\n# See pyproject.toml for which keys are required vs optional.\n\n# ═══════════════════════════════════════════════════════════════\n#  Default: LOCAL Ollama backend — $0, no API keys, fully private\n# ═══════════════════════════════════════════════════════════════\n\nITERATE_BACKEND_URL=http://localhost:11434/v1\nITERATE_BACKEND_API_KEY=ollama\nITERATE_MODEL=qwen2.5-coder:14b\n\n# Run `ollama pull qwen2.5-coder:14b` then `ollama serve` to start.\n# Any OpenAI-compatible endpoint works here — just change the URL + model.\n\n# ─── Required: sandbox for code execution ────────────────────\nE2B_API_KEY=\n\n# ─── Required: dataset access ────────────────────────────────\nKAGGLE_USERNAME=\nKAGGLE_KEY=\n\n# ═══════════════════════════════════════════════════════════════\n#  Optional: cloud LLM backends (switch ITERATE_BACKEND_URL to use)\n# ═══════════════════════════════════════════════════════════════\n\n# Groq — free tier, fast Llama 3.3 70B\n# ITERATE_BACKEND_URL=https://api.groq.com/openai/v1\n# ITERATE_BACKEND_API_KEY=<your-groq-key>\n# ITERATE_MODEL=llama-3.3-70b-versatile\nGROQ_API_KEY=\n\n# Together AI — paid, very cheap Llama 3.3 70B\n# ITERATE_BACKEND_URL=https://api.together.xyz/v1\n# ITERATE_BACKEND_API_KEY=<your-together-key>\n# ITERATE_MODEL=meta-llama/Llama-3.3-70B-Instruct-Turbo\nTOGETHER_API_KEY=\n\n# Deepseek — paid, strong on code\n# ITERATE_BACKEND_URL=https://api.deepseek.com/v1\n# ITERATE_BACKEND_API_KEY=<your-deepseek-key>\n# ITERATE_MODEL=deepseek-chat\nDEEPSEEK_API_KEY=\n\n# OpenAI — for GPT-4/5\nOPENAI_API_KEY=\n\n# Anthropic — for Claude (uses separate non-OpenAI-compatible adapter)\nANTHROPIC_API_KEY=\n\n# ─── Optional: logging adapters ──────────────────────────────\nNOTION_API_KEY=\nNOTION_DATABASE_ID=\nSLACK_WEBHOOK_URL=\n\n# ─── Optional: tracing ───────────────────────────────────────\nLANGFUSE_PUBLIC_KEY=\nLANGFUSE_SECRET_KEY=\nLANGFUSE_HOST=\n\n# ─── Local config ────────────────────────────────────────────\nITERATE_MEMORY_DB=.iterate/memory.db\nITERATE_RUNS_DIR=.iterate/runs\n"}}}}