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feat(agno): instrument agno evals - #723

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@AbhiPrasadAbhijeet Prasad (AbhiPrasad) commented Aug 31, 2026

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Every agno.eval run becomes a Braintrust eval row: input, expected, output, scores. Agno's 1-10 scales and pass/fail verdicts normalize to 0-1; the raw values are kept alongside them.

fromagno.eval.accuracyimportAccuracyEvalimportbraintrustbraintrust.auto_instrument()
braintrust.init_logger(project="agno-agents")
AccuracyEval(agent=agent, input="...", expected_output="...").run()

Experiment:

braintrust.auto_instrument()
experiment=braintrust.init(project="agno-agents", experiment="v3")

A suite run opens an experiment of its own when none is already open, and logs one row per Case:

importsysfromagno.evalimportCase, clisys.exit(cli(CASES))
multiplies_with_tool eval row, scores {judge, reliability}
|- Suite Calculator Agent.arun agent under test
| `- OpenAI.aresponse_stream
|- judge score span
`- reliability score span

What each eval type contributes:

AccuracyEval scores.accuracy + a score span per iteration
AgentAsJudgeEval scores.judge + a score span per batch case
ReliabilityEval scores.reliability tool-call evidence in output
PerformanceEval metrics only agno spans stand down while measuring
suite Case judge / reliability / scorer

@AbhiPrasad
feat(agno): instrument agno evals
c069e65
Every `agno.eval` run becomes a Braintrust eval row: input, expected, output,
scores. Agno's 1-10 scales and pass/fail verdicts normalize to 0-1; the raw
values are kept alongside them.
```py
from agno.eval.accuracy import AccuracyEval
import braintrust
braintrust.auto_instrument()
braintrust.init_logger(project="agno-agents")
AccuracyEval(agent=agent, input="...", expected_output="...").run()
```
Experiment — open one, and rows route there instead:
```py
braintrust.auto_instrument()
experiment = braintrust.init(project="agno-agents", experiment="v3")
```
A suite run opens an experiment of its own when none is already open, and
logs one row per Case:
```py
import sys
from agno.eval import Case, cli
sys.exit(cli(CASES))
```
```
multiplies_with_tool eval row, scores {judge, reliability}
|- Suite Calculator Agent.arun agent under test
| `- OpenAI.aresponse_stream
|- judge score span
`- reliability score span
```
What each eval type contributes:
```
AccuracyEval scores.accuracy + a score span per iteration
AgentAsJudgeEval scores.judge + a score span per batch case
ReliabilityEval scores.reliability tool-call evidence in output
PerformanceEval metrics only agno spans stand down while measuring
suite Case judge / reliability / scorer
```
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feat(agno): instrument agno evals by AbhiPrasad · Pull Request #723 · braintrustdata/braintrust-sdk-python · GitHub
Skip to content
feat(agno): instrument agno evals - #723
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Abhijeet Prasad (AbhiPrasad) wants to merge 1 commit into
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feat(agno): instrument agno evals#723
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@AbhiPrasadAbhijeet Prasad (AbhiPrasad)
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Every agno.eval run becomes a Braintrust eval row: input, expected, output, scores. Agno's 1-10 scales and pass/fail verdicts normalize to 0-1; the raw values are kept alongside them.
fromagno.eval.accuracyimportAccuracyEvalimportbraintrustbraintrust.auto_instrument()
braintrust.init_logger(project="agno-agents")
AccuracyEval(agent=agent, input="...", expected_output="...").run()
Experiment:
braintrust.auto_instrument()
experiment=braintrust.init(project="agno-agents", experiment="v3")
A suite run opens an experiment of its own when none is already open, and logs one row per Case:
importsysfromagno.evalimportCase, clisys.exit(cli(CASES))
multiplies_with_tool eval row, scores {judge, reliability}
|- Suite Calculator Agent.arun agent under test
| `- OpenAI.aresponse_stream
|- judge score span
`- reliability score span

What each eval type contributes:
AccuracyEval scores.accuracy + a score span per iteration
AgentAsJudgeEval scores.judge + a score span per batch case
ReliabilityEval scores.reliability tool-call evidence in output
PerformanceEval metrics only agno spans stand down while measuring
suite Case judge / reliability / scorer

@AbhiPrasad
feat(agno): instrument agno evals
c069e65
Every `agno.eval` run becomes a Braintrust eval row: input, expected, output,
scores. Agno's 1-10 scales and pass/fail verdicts normalize to 0-1; the raw
values are kept alongside them.
```py
from agno.eval.accuracy import AccuracyEval
import braintrust
braintrust.auto_instrument()
braintrust.init_logger(project="agno-agents")
AccuracyEval(agent=agent, input="...", expected_output="...").run()
```
Experiment — open one, and rows route there instead:
```py
braintrust.auto_instrument()
experiment = braintrust.init(project="agno-agents", experiment="v3")
```
A suite run opens an experiment of its own when none is already open, and
logs one row per Case:
```py
import sys
from agno.eval import Case, cli
sys.exit(cli(CASES))
```
```
multiplies_with_tool eval row, scores {judge, reliability}
|- Suite Calculator Agent.arun agent under test
| `- OpenAI.aresponse_stream
|- judge score span
`- reliability score span
```
What each eval type contributes:
```
AccuracyEval scores.accuracy + a score span per iteration
AgentAsJudgeEval scores.judge + a score span per batch case
ReliabilityEval scores.reliability tool-call evidence in output
PerformanceEval metrics only agno spans stand down while measuring
suite Case judge / reliability / scorer
```
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@lforstLuca Forstner (lforst)Awaiting requested review from lforst

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, 'i');
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var __re = new RegExp('^' + ".*" + '
feat(agno): instrument agno evals by AbhiPrasad · Pull Request #723 · braintrustdata/braintrust-sdk-python · GitHub
Skip to content
feat(agno): instrument agno evals - #723
Open
Abhijeet Prasad (AbhiPrasad) wants to merge 1 commit into
mainfrom 
abhi/agno-evals
Open
feat(agno): instrument agno evals#723
Abhijeet Prasad (AbhiPrasad) wants to merge 1 commit into
mainfrom 
abhi/agno-evals
Conversation
@AbhiPrasad
@AbhiPrasadAbhijeet Prasad (AbhiPrasad)
commented
Aug 31, 2026

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Every agno.eval run becomes a Braintrust eval row: input, expected, output, scores. Agno's 1-10 scales and pass/fail verdicts normalize to 0-1; the raw values are kept alongside them.
fromagno.eval.accuracyimportAccuracyEvalimportbraintrustbraintrust.auto_instrument()
braintrust.init_logger(project="agno-agents")
AccuracyEval(agent=agent, input="...", expected_output="...").run()
Experiment:
braintrust.auto_instrument()
experiment=braintrust.init(project="agno-agents", experiment="v3")
A suite run opens an experiment of its own when none is already open, and logs one row per Case:
importsysfromagno.evalimportCase, clisys.exit(cli(CASES))
multiplies_with_tool eval row, scores {judge, reliability}
|- Suite Calculator Agent.arun agent under test
| `- OpenAI.aresponse_stream
|- judge score span
`- reliability score span

What each eval type contributes:
AccuracyEval scores.accuracy + a score span per iteration
AgentAsJudgeEval scores.judge + a score span per batch case
ReliabilityEval scores.reliability tool-call evidence in output
PerformanceEval metrics only agno spans stand down while measuring
suite Case judge / reliability / scorer

@AbhiPrasad
feat(agno): instrument agno evals
c069e65
Every `agno.eval` run becomes a Braintrust eval row: input, expected, output,
scores. Agno's 1-10 scales and pass/fail verdicts normalize to 0-1; the raw
values are kept alongside them.
```py
from agno.eval.accuracy import AccuracyEval
import braintrust
braintrust.auto_instrument()
braintrust.init_logger(project="agno-agents")
AccuracyEval(agent=agent, input="...", expected_output="...").run()
```
Experiment — open one, and rows route there instead:
```py
braintrust.auto_instrument()
experiment = braintrust.init(project="agno-agents", experiment="v3")
```
A suite run opens an experiment of its own when none is already open, and
logs one row per Case:
```py
import sys
from agno.eval import Case, cli
sys.exit(cli(CASES))
```
```
multiplies_with_tool eval row, scores {judge, reliability}
|- Suite Calculator Agent.arun agent under test
| `- OpenAI.aresponse_stream
|- judge score span
`- reliability score span
```
What each eval type contributes:
```
AccuracyEval scores.accuracy + a score span per iteration
AgentAsJudgeEval scores.judge + a score span per batch case
ReliabilityEval scores.reliability tool-call evidence in output
PerformanceEval metrics only agno spans stand down while measuring
suite Case judge / reliability / scorer
```
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, 'i');
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var __m = "*";
var __re = new RegExp('^' + ".*" + '
feat(agno): instrument agno evals by AbhiPrasad · Pull Request #723 · braintrustdata/braintrust-sdk-python · GitHub
Skip to content
feat(agno): instrument agno evals - #723
Open
Abhijeet Prasad (AbhiPrasad) wants to merge 1 commit into
mainfrom 
abhi/agno-evals
Open
feat(agno): instrument agno evals#723
Abhijeet Prasad (AbhiPrasad) wants to merge 1 commit into
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@AbhiPrasad
@AbhiPrasadAbhijeet Prasad (AbhiPrasad)
commented
Aug 31, 2026

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Every agno.eval run becomes a Braintrust eval row: input, expected, output, scores. Agno's 1-10 scales and pass/fail verdicts normalize to 0-1; the raw values are kept alongside them.
fromagno.eval.accuracyimportAccuracyEvalimportbraintrustbraintrust.auto_instrument()
braintrust.init_logger(project="agno-agents")
AccuracyEval(agent=agent, input="...", expected_output="...").run()
Experiment:
braintrust.auto_instrument()
experiment=braintrust.init(project="agno-agents", experiment="v3")
A suite run opens an experiment of its own when none is already open, and logs one row per Case:
importsysfromagno.evalimportCase, clisys.exit(cli(CASES))
multiplies_with_tool eval row, scores {judge, reliability}
|- Suite Calculator Agent.arun agent under test
| `- OpenAI.aresponse_stream
|- judge score span
`- reliability score span

What each eval type contributes:
AccuracyEval scores.accuracy + a score span per iteration
AgentAsJudgeEval scores.judge + a score span per batch case
ReliabilityEval scores.reliability tool-call evidence in output
PerformanceEval metrics only agno spans stand down while measuring
suite Case judge / reliability / scorer

@AbhiPrasad
feat(agno): instrument agno evals
c069e65
Every `agno.eval` run becomes a Braintrust eval row: input, expected, output,
scores. Agno's 1-10 scales and pass/fail verdicts normalize to 0-1; the raw
values are kept alongside them.
```py
from agno.eval.accuracy import AccuracyEval
import braintrust
braintrust.auto_instrument()
braintrust.init_logger(project="agno-agents")
AccuracyEval(agent=agent, input="...", expected_output="...").run()
```
Experiment — open one, and rows route there instead:
```py
braintrust.auto_instrument()
experiment = braintrust.init(project="agno-agents", experiment="v3")
```
A suite run opens an experiment of its own when none is already open, and
logs one row per Case:
```py
import sys
from agno.eval import Case, cli
sys.exit(cli(CASES))
```
```
multiplies_with_tool eval row, scores {judge, reliability}
|- Suite Calculator Agent.arun agent under test
| `- OpenAI.aresponse_stream
|- judge score span
`- reliability score span
```
What each eval type contributes:
```
AccuracyEval scores.accuracy + a score span per iteration
AgentAsJudgeEval scores.judge + a score span per batch case
ReliabilityEval scores.reliability tool-call evidence in output
PerformanceEval metrics only agno spans stand down while measuring
suite Case judge / reliability / scorer
```
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, 'i');
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feat(agno): instrument agno evals by AbhiPrasad · Pull Request #723 · braintrustdata/braintrust-sdk-python · GitHub
Skip to content
feat(agno): instrument agno evals - #723
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feat(agno): instrument agno evals#723
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@AbhiPrasadAbhijeet Prasad (AbhiPrasad)
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Every agno.eval run becomes a Braintrust eval row: input, expected, output, scores. Agno's 1-10 scales and pass/fail verdicts normalize to 0-1; the raw values are kept alongside them.
fromagno.eval.accuracyimportAccuracyEvalimportbraintrustbraintrust.auto_instrument()
braintrust.init_logger(project="agno-agents")
AccuracyEval(agent=agent, input="...", expected_output="...").run()
Experiment:
braintrust.auto_instrument()
experiment=braintrust.init(project="agno-agents", experiment="v3")
A suite run opens an experiment of its own when none is already open, and logs one row per Case:
importsysfromagno.evalimportCase, clisys.exit(cli(CASES))
multiplies_with_tool eval row, scores {judge, reliability}
|- Suite Calculator Agent.arun agent under test
| `- OpenAI.aresponse_stream
|- judge score span
`- reliability score span

What each eval type contributes:
AccuracyEval scores.accuracy + a score span per iteration
AgentAsJudgeEval scores.judge + a score span per batch case
ReliabilityEval scores.reliability tool-call evidence in output
PerformanceEval metrics only agno spans stand down while measuring
suite Case judge / reliability / scorer

@AbhiPrasad
feat(agno): instrument agno evals
c069e65
Every `agno.eval` run becomes a Braintrust eval row: input, expected, output,
scores. Agno's 1-10 scales and pass/fail verdicts normalize to 0-1; the raw
values are kept alongside them.
```py
from agno.eval.accuracy import AccuracyEval
import braintrust
braintrust.auto_instrument()
braintrust.init_logger(project="agno-agents")
AccuracyEval(agent=agent, input="...", expected_output="...").run()
```
Experiment — open one, and rows route there instead:
```py
braintrust.auto_instrument()
experiment = braintrust.init(project="agno-agents", experiment="v3")
```
A suite run opens an experiment of its own when none is already open, and
logs one row per Case:
```py
import sys
from agno.eval import Case, cli
sys.exit(cli(CASES))
```
```
multiplies_with_tool eval row, scores {judge, reliability}
|- Suite Calculator Agent.arun agent under test
| `- OpenAI.aresponse_stream
|- judge score span
`- reliability score span
```
What each eval type contributes:
```
AccuracyEval scores.accuracy + a score span per iteration
AgentAsJudgeEval scores.judge + a score span per batch case
ReliabilityEval scores.reliability tool-call evidence in output
PerformanceEval metrics only agno spans stand down while measuring
suite Case judge / reliability / scorer
```
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@lforstLuca Forstner (lforst)Awaiting requested review from lforst

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, 'i');
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feat(agno): instrument agno evals by AbhiPrasad · Pull Request #723 · braintrustdata/braintrust-sdk-python · GitHub
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feat(agno): instrument agno evals - #723
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@AbhiPrasadAbhijeet Prasad (AbhiPrasad)
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Every agno.eval run becomes a Braintrust eval row: input, expected, output, scores. Agno's 1-10 scales and pass/fail verdicts normalize to 0-1; the raw values are kept alongside them.
fromagno.eval.accuracyimportAccuracyEvalimportbraintrustbraintrust.auto_instrument()
braintrust.init_logger(project="agno-agents")
AccuracyEval(agent=agent, input="...", expected_output="...").run()
Experiment:
braintrust.auto_instrument()
experiment=braintrust.init(project="agno-agents", experiment="v3")
A suite run opens an experiment of its own when none is already open, and logs one row per Case:
importsysfromagno.evalimportCase, clisys.exit(cli(CASES))
multiplies_with_tool eval row, scores {judge, reliability}
|- Suite Calculator Agent.arun agent under test
| `- OpenAI.aresponse_stream
|- judge score span
`- reliability score span

What each eval type contributes:
AccuracyEval scores.accuracy + a score span per iteration
AgentAsJudgeEval scores.judge + a score span per batch case
ReliabilityEval scores.reliability tool-call evidence in output
PerformanceEval metrics only agno spans stand down while measuring
suite Case judge / reliability / scorer

@AbhiPrasad
feat(agno): instrument agno evals
c069e65
Every `agno.eval` run becomes a Braintrust eval row: input, expected, output,
scores. Agno's 1-10 scales and pass/fail verdicts normalize to 0-1; the raw
values are kept alongside them.
```py
from agno.eval.accuracy import AccuracyEval
import braintrust
braintrust.auto_instrument()
braintrust.init_logger(project="agno-agents")
AccuracyEval(agent=agent, input="...", expected_output="...").run()
```
Experiment — open one, and rows route there instead:
```py
braintrust.auto_instrument()
experiment = braintrust.init(project="agno-agents", experiment="v3")
```
A suite run opens an experiment of its own when none is already open, and
logs one row per Case:
```py
import sys
from agno.eval import Case, cli
sys.exit(cli(CASES))
```
```
multiplies_with_tool eval row, scores {judge, reliability}
|- Suite Calculator Agent.arun agent under test
| `- OpenAI.aresponse_stream
|- judge score span
`- reliability score span
```
What each eval type contributes:
```
AccuracyEval scores.accuracy + a score span per iteration
AgentAsJudgeEval scores.judge + a score span per batch case
ReliabilityEval scores.reliability tool-call evidence in output
PerformanceEval metrics only agno spans stand down while measuring
suite Case judge / reliability / scorer
```
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try {
var __m = "*";
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feat(agno): instrument agno evals by AbhiPrasad · Pull Request #723 · braintrustdata/braintrust-sdk-python · GitHub
Skip to content
feat(agno): instrument agno evals - #723
Open
Abhijeet Prasad (AbhiPrasad) wants to merge 1 commit into
mainfrom 
abhi/agno-evals
Open
feat(agno): instrument agno evals#723
Abhijeet Prasad (AbhiPrasad) wants to merge 1 commit into
mainfrom 
abhi/agno-evals
Conversation
@AbhiPrasad
@AbhiPrasadAbhijeet Prasad (AbhiPrasad)
commented
Aug 31, 2026

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Every agno.eval run becomes a Braintrust eval row: input, expected, output, scores. Agno's 1-10 scales and pass/fail verdicts normalize to 0-1; the raw values are kept alongside them.
fromagno.eval.accuracyimportAccuracyEvalimportbraintrustbraintrust.auto_instrument()
braintrust.init_logger(project="agno-agents")
AccuracyEval(agent=agent, input="...", expected_output="...").run()
Experiment:
braintrust.auto_instrument()
experiment=braintrust.init(project="agno-agents", experiment="v3")
A suite run opens an experiment of its own when none is already open, and logs one row per Case:
importsysfromagno.evalimportCase, clisys.exit(cli(CASES))
multiplies_with_tool eval row, scores {judge, reliability}
|- Suite Calculator Agent.arun agent under test
| `- OpenAI.aresponse_stream
|- judge score span
`- reliability score span

What each eval type contributes:
AccuracyEval scores.accuracy + a score span per iteration
AgentAsJudgeEval scores.judge + a score span per batch case
ReliabilityEval scores.reliability tool-call evidence in output
PerformanceEval metrics only agno spans stand down while measuring
suite Case judge / reliability / scorer

@AbhiPrasad
feat(agno): instrument agno evals
c069e65
Every `agno.eval` run becomes a Braintrust eval row: input, expected, output,
scores. Agno's 1-10 scales and pass/fail verdicts normalize to 0-1; the raw
values are kept alongside them.
```py
from agno.eval.accuracy import AccuracyEval
import braintrust
braintrust.auto_instrument()
braintrust.init_logger(project="agno-agents")
AccuracyEval(agent=agent, input="...", expected_output="...").run()
```
Experiment — open one, and rows route there instead:
```py
braintrust.auto_instrument()
experiment = braintrust.init(project="agno-agents", experiment="v3")
```
A suite run opens an experiment of its own when none is already open, and
logs one row per Case:
```py
import sys
from agno.eval import Case, cli
sys.exit(cli(CASES))
```
```
multiplies_with_tool eval row, scores {judge, reliability}
|- Suite Calculator Agent.arun agent under test
| `- OpenAI.aresponse_stream
|- judge score span
`- reliability score span
```
What each eval type contributes:
```
AccuracyEval scores.accuracy + a score span per iteration
AgentAsJudgeEval scores.judge + a score span per batch case
ReliabilityEval scores.reliability tool-call evidence in output
PerformanceEval metrics only agno spans stand down while measuring
suite Case judge / reliability / scorer
```
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@lforstLuca Forstner (lforst)Awaiting requested review from lforst

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, 'i');
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filter: none !important;
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/* Fix common UI elements */
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filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
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::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
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}
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var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
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feat(agno): instrument agno evals by AbhiPrasad · Pull Request #723 · braintrustdata/braintrust-sdk-python · GitHub
Skip to content
feat(agno): instrument agno evals - #723
Open
Abhijeet Prasad (AbhiPrasad) wants to merge 1 commit into
mainfrom 
abhi/agno-evals
Open
feat(agno): instrument agno evals#723
Abhijeet Prasad (AbhiPrasad) wants to merge 1 commit into
mainfrom 
abhi/agno-evals
Conversation
@AbhiPrasad
@AbhiPrasadAbhijeet Prasad (AbhiPrasad)
commented
Aug 31, 2026

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Every agno.eval run becomes a Braintrust eval row: input, expected, output, scores. Agno's 1-10 scales and pass/fail verdicts normalize to 0-1; the raw values are kept alongside them.
fromagno.eval.accuracyimportAccuracyEvalimportbraintrustbraintrust.auto_instrument()
braintrust.init_logger(project="agno-agents")
AccuracyEval(agent=agent, input="...", expected_output="...").run()
Experiment:
braintrust.auto_instrument()
experiment=braintrust.init(project="agno-agents", experiment="v3")
A suite run opens an experiment of its own when none is already open, and logs one row per Case:
importsysfromagno.evalimportCase, clisys.exit(cli(CASES))
multiplies_with_tool eval row, scores {judge, reliability}
|- Suite Calculator Agent.arun agent under test
| `- OpenAI.aresponse_stream
|- judge score span
`- reliability score span

What each eval type contributes:
AccuracyEval scores.accuracy + a score span per iteration
AgentAsJudgeEval scores.judge + a score span per batch case
ReliabilityEval scores.reliability tool-call evidence in output
PerformanceEval metrics only agno spans stand down while measuring
suite Case judge / reliability / scorer

@AbhiPrasad
feat(agno): instrument agno evals
c069e65
Every `agno.eval` run becomes a Braintrust eval row: input, expected, output,
scores. Agno's 1-10 scales and pass/fail verdicts normalize to 0-1; the raw
values are kept alongside them.
```py
from agno.eval.accuracy import AccuracyEval
import braintrust
braintrust.auto_instrument()
braintrust.init_logger(project="agno-agents")
AccuracyEval(agent=agent, input="...", expected_output="...").run()
```
Experiment — open one, and rows route there instead:
```py
braintrust.auto_instrument()
experiment = braintrust.init(project="agno-agents", experiment="v3")
```
A suite run opens an experiment of its own when none is already open, and
logs one row per Case:
```py
import sys
from agno.eval import Case, cli
sys.exit(cli(CASES))
```
```
multiplies_with_tool eval row, scores {judge, reliability}
|- Suite Calculator Agent.arun agent under test
| `- OpenAI.aresponse_stream
|- judge score span
`- reliability score span
```
What each eval type contributes:
```
AccuracyEval scores.accuracy + a score span per iteration
AgentAsJudgeEval scores.judge + a score span per batch case
ReliabilityEval scores.reliability tool-call evidence in output
PerformanceEval metrics only agno spans stand down while measuring
suite Case judge / reliability / scorer
```
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@lforstLuca Forstner (lforst)Awaiting requested review from lforst

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