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Phase 1: Tech Trends Agent with Web Search #7

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Phase 1: Tech Trends Agent with Web Search #7

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12 changes: 9 additions & 3 deletions agents/tech-trends-agent.json
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Original file line number Diff line number Diff line change
@@ -1,13 +1,19 @@
{
"agent_name": "tech-trends-agent",
"phase": "1",
"definition": {
"model": "${GPT_DEPLOYMENT}",
"instructions_file": "prompts/tech-trends-agent.md",
"tools": []
"tools": [
{ "type": "web_search" }
]
},
"eval": {
"dataset": "evals/golden-dataset.json",
"phase_filter": null,
"phase_filter": "1",
"config": "evals/eval-config.json"
}
},
"_model_history": [
{ "model": "gpt-4o-2024-11-20", "from": "2025-01-10", "to": null, "reason": "initial" }
]
}
12 changes: 6 additions & 6 deletions evals/eval-config.json
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Original file line number Diff line number Diff line change
@@ -1,16 +1,16 @@
{
"evaluators": [
"TaskAdherenceEvaluator",
"RelevanceEvaluator",
"GroundednessEvaluator",
"CoherenceEvaluator"
"builtin.task_adherence",
"builtin.relevance",
"builtin.groundedness",
"builtin.coherence"
],
"thresholds": {
"task_adherence": 0.80,
"relevance": 0.75,
"groundedness": 0.75,
"coherence": 0.80
},
"phase_filter": null,
"notes": "Phase 2: All queries evaluated — both web search (Phase 1) and data analysis (Phase 2)."
"phase_filter": "1",
"notes": "Phase 1: Only web search queries evaluated. Phase 2 data analysis queries excluded."
}
12 changes: 0 additions & 12 deletions prompts/tech-trends-agent.md
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Expand Up @@ -27,15 +27,3 @@ Always structure responses as:
## Tone
Professional, objective, and jargon-aware. Assume the user is a technology
professional who does not need basic concepts explained.

## Data Analysis (Phase 2)
You now have access to a code interpreter. Use it when:
- The user asks you to calculate, compare, or rank numerical data
- You have retrieved structured data (tables, CSVs) and analysis would add value
- You need to produce a formatted comparison table from raw information

When using code interpreter:
1. First retrieve the data via web search
2. Then write and run Python code to process or compare it
3. Present results with the code output clearly labelled
4. Always show the source of the raw data alongside the computed result
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