Answers from the documentation; checking which model is on duty
Hi - I answer from the OpenSmartRoute documentation: routing, the API, plans and quotas, self-hosting. Ask away, or open a support ticket if you need a person.
Grounded in the docs - follow a source before acting on it.
Table in PDF to CSV conversion - Persona - OpenSmartRoute
Personav1.0.0
Table in PDF to CSV conversion
"Attached is an image of a table listing the model parameters for the ${insert_model_name} model (from [Insert Author/Paper Name]).
Role from Awesome ChatGPT Prompts (prompts.csv, CC0-1.0). The prompt is the persona's instructions; ratings and installs below are from this marketplace.
"Attached is an image of a table listing the model parameters for the ${insert_model_name} model (from [Insert Author/Paper Name]).
Please extract the data and convert it into a CSV code block that I can copy and save directly.
Requirements:
Use the first row as the header.
If cells are merged, repeat the value for each row to ensure the CSV is flat and processable.
Do not include units in the numeric columns (e.g., remove 'ms' or '%'), or keep them consistent in a separate column.
If any text is unclear due to image quality, mark it as '${unclear}' rather than guessing.
Ensure all fields containing commas are properly quoted."
Use it
Copy one of these into your project. Installing also returns the manifest and these snippets.
# after Install: the listing is in your workspace's routing pool - a plan picks it for its slotcurl-s-X POST https://api.opensmartroute.ai/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'
Installed into a catalogue, chosen by a router
Install Table in PDF to CSV conversion and it becomes one more candidate the router can pick - when it fits.
A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.
{
"ocm": "1",
"id": "persona-table-in-pdf-to-csv-conversion",
"kind": "persona",
"name": "Table in PDF to CSV conversion",
"description": "\"Attached is an image of a table listing the model parameters for the ${insert_model_name} model (from [Insert Author/Paper Name]).",
"publisher": "f",
"version": "1.0.0",
"capabilities": {
"domains": [
"data_analysis",
"science"
],
"tags": [
"persona",
"act-as",
"chatgpt",
"awesome-prompts"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"\"Attached is an image of a table listing the model parameters for the ${insert_model_name} model (from [Insert Author/Paper Name])."
],
"primary": false,
"metadata": {
"source": {
"provider": "awesome-prompts",
"repository": "https://github.com/f/awesome-chatgpt-prompts",
"path": "prompts.csv",
"ref": "main",
"url": "https://github.com/f/awesome-chatgpt-prompts/blob/main/prompts.csv",
"key": "f/awesome-chatgpt-prompts/table-in-pdf-to-csv-conversion"
},
"license": "CC0-1.0"
},
"instructions": "\"Attached is an image of a table listing the model parameters for the ${insert_model_name} model (from [Insert Author/Paper Name]).\nPlease extract the data and convert it into a CSV code block that I can copy and save directly.\nRequirements:\nUse the first row as the header.\nIf cells are merged, repeat the value for each row to ensure the CSV is flat and processable.\nDo not include units in the numeric columns (e.g., remove 'ms' or '%'), or keep them consistent in a separate column.\nIf any text is unclear due to image quality, mark it as '${unclear}' rather than guessing.\nEnsure all fields cont",
"cost": {
"context_tokens": 158
}
}
Fetch it by URL: GET /api/v1/registry/persona-table-in-pdf-to-csv-conversion/manifest?version=1.0.0
Reviews
Star ratings from people who tried it. One review per account; edit yours any time.
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