gleanwork / gleanwork/api-client-python
Issue Obtaining Agent Schema
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 20
- Forks
- 10
- Avg merge
- 1d 6h
- Merged PRs (30d)
- 17
Description
When using this python block to obtain an agent's schema as hosted on the docs:
from glean.api_client import Glean
import os
with Glean(
api_token=os.getenv("GLEAN_API_TOKEN", ""),
server_url="https://mycompany-be.glean.com",
) as glean:
res = glean.client.agents.retrieve(agent_id="<id>")
# Handle response
print(res)
This gives me this current output:
agent_id='3fc1d69087e84a.....' input_schema=InputSchema() output_schema=OutputSchema()
Which does not match for the list of an agents schema example response:
{
"agent_id": "mho4lwzylcozgoc2",
"name": "HR Policy Agent",
"input_schema": {},
"output_schema": {},
"tools": [
{
"tool_id": "string",
"display_name": "string",
"type": "string",
"auth_type": "string",
"write_action_type": "string",
"is_setup_finished": true,
"data_source": "string"
}
]
}
This is the response I receive when curling:
{"agent_id":"c491df2fb3........","name":"[Sales] UMF Advisor","input_schema":{},"output_schema":{"$defs":{"ContentType":{"description":"The type of content block.","enum":["text"],"type":"string"}},"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"messages":{"items":{"properties":{"content":{"description":"The content of the message.","items":{"properties":{"text":{"type":"string"},"type":{"$ref":"#/$defs/ContentType"}},"required":["text","type"],"title":"MessageTextBlock","type":"object"},"title":"Content","type":"array"},"role":{"description":"The role of the message.","title":"Role","type":"string"}},"title":"Message","type":"object"},"type":"array"}},"required":["messages"],"title":"AgentResponse","type":"object"}}
I understand that these api endpoints are in beta, but is there any communication about updates regarding this endpoint or the other ones regarding agents?
Thank you.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start at the glean.client.agents.retrieve(agent_id="") call shown in the issue and compare its returned models with the documented and curl responses. Check how input_schema and output_schema are represented in the Python client. Done means the client response accurately exposes the agent schema returned by the endpoint, with coverage for the reported response shape.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- api
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100