Buckets:
| { | |
| "schema_version": 2, | |
| "session_id": "research-66fd8a45ed81", | |
| "created_at": "2026-07-08T21:23:11.693379", | |
| "last_activity": "2026-07-08T21:25:52.955142", | |
| "metadata": { | |
| "title": null, | |
| "label": null, | |
| "first_user_preview": "Verified research workspace for this request: - Hugging Face user: `evalstate` - Bucket: `evalstate/research-agent` - Root: `hf://buckets/evalstate/research-agent/research-66fd8a45ed81/` - Scratch/workings: `hf://buckets/evalstate/research-", | |
| "pinned": false, | |
| "extras": { | |
| "harness_session_id": "research-66fd8a45ed81" | |
| } | |
| }, | |
| "continuation": { | |
| "active_agent": "research", | |
| "cwd": "/app", | |
| "git": { | |
| "started": { | |
| "cwd": "/app", | |
| "repository_root": "/app", | |
| "commit": "6b54d78e5243904318f293f105b5f4a898538ede", | |
| "captured_at": "2026-07-08T21:23:16.499030Z", | |
| "remote_url": "https://huggingface.co/spaces/evalstate/research-agent-two", | |
| "github_repository": null, | |
| "branch": "main", | |
| "dirty": true | |
| }, | |
| "current": { | |
| "cwd": "/app", | |
| "repository_root": "/app", | |
| "commit": "6b54d78e5243904318f293f105b5f4a898538ede", | |
| "captured_at": "2026-07-08T21:25:53.198668Z", | |
| "remote_url": "https://huggingface.co/spaces/evalstate/research-agent-two", | |
| "github_repository": null, | |
| "branch": "main", | |
| "dirty": true | |
| } | |
| }, | |
| "lineage": { | |
| "forked_from": null, | |
| "acp_session_id": null | |
| }, | |
| "agents": { | |
| "research": { | |
| "history_file": "history_research.json", | |
| "resolved_prompt": "You are a careful research agent for Hugging Face ecosystem research.\n\nUse the Hugging Face MCP server (`hf`) whenever it can provide authoritative\ninformation. Prefer primary sources, cite sources inline, and separate verified\nfacts from interpretation.\n\nAsk a clarifying question when the research scope is ambiguous.\n\nYou must record your results in the supplied bucket -- usually in the form\nof report.md and any associated code/python files.\n\nThe bucket can be attached to a sandbox when needed, if you wish to run code\nor verify results.\n\nWhen the user asks for a polished HTML artifact, visual report, briefing,\ndashboard, explainer, or shareable presentation, delegate the final artifact\ncreation to the `birch-html` subagent. Provide it with the verified `output/`\npath and the researched content/sources to transform into the final HTML.\n\nEnvironment:\n- Workspace root: /app\n- Execution environment: local local (shell: bash, cwd: /app/research)\n- Client: Research Agent FastMCP App Experiment\n- Host platform: Linux-6.12.92-122.166.amzn2023.x86_64-x86_64-with-glibc2.36\n08 July 2026\n<fastagent:mcp-server name=\"hf\">\n<tools>hf__hf_whoami, hf__paper_search, hf__hub_repo_details, hf__hf_fs, hf__hf_fs_write, hf__hf_doc_search, hf__hf_doc_fetch, hf__hf_sandbox, hf__hf_sandbox_exec, hf__hf_sandbox_fs, hf__dynamic_space, hf__gradio_files, hf__gr1_z_image_turbo_generate</tools>\n<instructions>\nYou have tools for using the Hugging Face Hub. Hugging Face tools are being used by authenticated user 'evalstate'\nhf:// URIs can be converted to browser URLs by replacing hf://buckets/OWNER/NAME/PATH with https://huggingface.co/buckets/OWNER/NAME/resolve/PATH; for models, datasets, and spaces, use https://huggingface.co[/datasets|/spaces]/OWNER/NAME/resolve/main/PATH. URL-encode each path segment. arXiv paper id's are often used as references between datasets, models and papers. There are over 100 tags in use, common tags include 'Text Generation', 'Transformers', 'Image Classification' and so on.\n\n</instructions>\n</fastagent:mcp-server>\n\nYou have vision capabilities.", | |
| "model": "moonshotai/Kimi-K2.6:novita", | |
| "model_spec": "kimi26", | |
| "provider": "hf", | |
| "request_settings": { | |
| "max_tokens": 16384, | |
| "temperature": 1.0, | |
| "top_p": 0.95, | |
| "top_k": null, | |
| "min_p": null, | |
| "presence_penalty": null, | |
| "frequency_penalty": null, | |
| "repetition_penalty": null, | |
| "use_history": true, | |
| "parallel_tool_calls": true, | |
| "max_iterations": 199, | |
| "tool_result_mode": "postprocess", | |
| "streaming_timeout": 120.0, | |
| "service_tier": null | |
| }, | |
| "card_provenance": [ | |
| { | |
| "ref": "/app/research/agent-cards/research.md" | |
| } | |
| ], | |
| "attachment_refs": [ | |
| { | |
| "ref": "mcp_server:hf" | |
| }, | |
| { | |
| "ref": "agent_tool:birch-html" | |
| } | |
| ], | |
| "model_overlay_refs": [] | |
| }, | |
| "birch-html": { | |
| "history_file": null, | |
| "resolved_prompt": "You are a presentation and HTML artifact specialist.\n\nUse the Birch HTML skill for polished, shareable, source-grounded HTML reports,\nbriefings, dashboards, explainers, visual summaries, and presentation-style\ndeliverables.\n\nYou receive researched content, source notes, and an output path from the\nresearch agent. Produce a complete Birch HTML artifact and save it under the\nprovided `output/` bucket path. Use `scratch/` only for temporary drafts or\nintermediate files.\n\nReturn the final artifact path and a concise note about what was created.\n\nEnvironment:\n- Workspace root: /app\n- Execution environment: local local (shell: bash, cwd: /app/research)\n- Client: Research Agent FastMCP App Experiment\n- Host platform: Linux-6.12.92-122.166.amzn2023.x86_64-x86_64-with-glibc2.36\n08 July 2026\n<fastagent:mcp-server name=\"hf\">\n<tools>hf__hf_whoami, hf__paper_search, hf__hub_repo_details, hf__hf_fs, hf__hf_fs_write, hf__hf_doc_search, hf__hf_doc_fetch, hf__hf_sandbox, hf__hf_sandbox_exec, hf__hf_sandbox_fs, hf__dynamic_space, hf__gradio_files, hf__gr1_z_image_turbo_generate</tools>\n<instructions>\nYou have tools for using the Hugging Face Hub. Hugging Face tools are being used by authenticated user 'evalstate'\nhf:// URIs can be converted to browser URLs by replacing hf://buckets/OWNER/NAME/PATH with https://huggingface.co/buckets/OWNER/NAME/resolve/PATH; for models, datasets, and spaces, use https://huggingface.co[/datasets|/spaces]/OWNER/NAME/resolve/main/PATH. URL-encode each path segment. arXiv paper id's are often used as references between datasets, models and papers. There are over 100 tags in use, common tags include 'Text Generation', 'Transformers', 'Image Classification' and so on.\n\n</instructions>\n</fastagent:mcp-server>\n\nYou have vision capabilities.", | |
| "model": "moonshotai/Kimi-K2.7-Code:fireworks-ai", | |
| "model_spec": "kimi27", | |
| "provider": "hf", | |
| "request_settings": { | |
| "max_tokens": 16384, | |
| "temperature": 1.0, | |
| "top_p": 0.95, | |
| "top_k": null, | |
| "min_p": null, | |
| "presence_penalty": null, | |
| "frequency_penalty": null, | |
| "repetition_penalty": null, | |
| "use_history": false, | |
| "parallel_tool_calls": true, | |
| "max_iterations": 199, | |
| "tool_result_mode": "postprocess", | |
| "streaming_timeout": 120.0, | |
| "service_tier": null | |
| }, | |
| "card_provenance": [ | |
| { | |
| "ref": "/app/research/agent-cards/birch-html.md" | |
| } | |
| ], | |
| "attachment_refs": [ | |
| { | |
| "ref": "mcp_server:hf" | |
| } | |
| ], | |
| "model_overlay_refs": [] | |
| } | |
| } | |
| }, | |
| "analysis": { | |
| "usage_summary": { | |
| "input_tokens": 293299, | |
| "output_tokens": 6818, | |
| "total_tokens": 300117 | |
| }, | |
| "timing_summary": null, | |
| "provider_diagnostics": [], | |
| "transport_diagnostics": [] | |
| } | |
| } |
Xet Storage Details
- Size:
- 7.69 kB
- Xet hash:
- aad70bb73100e3feee0839fc36f5eef5a2294945d5de018fe9bfc2d45cd6c4b4
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.