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a2c72c6a16
* chore(benchmarks): date README perf claim, archive superseded results, fix benchmark scripts, re-measure (fixes #5824) - Re-measured on a quiet runner: Agent instantiation median 20.3us (1.6.60) -> 47.1us (main) on identical hardware; gradual creep, recorded in INSTANTIATION_RCA.md - performance_benchmark.py: lazy framework imports, rank-based 'fastest' label, ratios vs the fastest, min/median/std + versions + machine info, no README rewrite; BENCHMARK_RESULTS.md regenerated in one run - simple_benchmark.py: --save writes SIMPLE_BENCHMARK_RESULTS.md; README updater removed - Archive superseded result files with a 'Superseded' header - benchmark.yml: PR gate via simple_benchmark --json --fail-over-threshold; parse failures now fail instead of passing as 0; threshold 450 -> 150us - Delete dead nested src/praisonai-agents/.github workflow - README: dated 46us figure linking BENCHMARK_RESULTS.md Co-Authored-By: Claude Opus 5.5 <[email protected]> * docs(benchmarks): link follow-up issue #5835 in RCA Co-Authored-By: Claude Opus 5.5 <[email protected]> * fix(benchmarks): absolute README link, validate --iterations/--warmup, accurate reproduce command Co-Authored-By: Claude Opus 5.5 <[email protected]> --------- Co-authored-by: MervinPraison <[email protected]> Co-authored-by: Claude Opus 5.5 <[email protected]>
85 lines
2.6 KiB
Python
85 lines
2.6 KiB
Python
"""
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Example 1: Basic Fast Context Usage
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This example demonstrates the basic usage of Fast Context for rapid code search.
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Fast Context speeds up code search because it:
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- Executes up to 8 tool calls in parallel
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- Limits search to 4 turns maximum
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- Uses a lightweight model optimized for search
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"""
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from praisonaiagents.context.fast import FastContext
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import time
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def main():
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print("=" * 70)
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print("Fast Context - Basic Usage Example")
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print("=" * 70)
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# Create FastContext instance pointing to the praisonai-agents codebase
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fc = FastContext(
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workspace_path="/Users/praison/praisonai-package/src/praisonai-agents"
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)
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# Example 1: Simple pattern search
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print("\n1. Simple Pattern Search")
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print("-" * 40)
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start = time.perf_counter()
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result = fc.search("def chat")
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elapsed = (time.perf_counter() - start) * 1000
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print(f" Query: 'def chat'")
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print(f" Files found: {result.total_files}")
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print(f" Search time: {result.search_time_ms}ms (total: {elapsed:.0f}ms)")
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print(f" Turns used: {result.turns_used}")
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print(f" Tool calls: {result.total_tool_calls}")
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if result.files:
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print("\n Top matches:")
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for f in result.files[:3]:
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print(f" - {f.path}")
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for lr in f.line_ranges[:2]:
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print(f" Lines {lr.start}-{lr.end}")
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# Example 2: Search for class definitions
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print("\n2. Search for Class Definitions")
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print("-" * 40)
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result = fc.search("class Agent")
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print(f" Query: 'class Agent'")
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print(f" Files found: {result.total_files}")
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print(f" Search time: {result.search_time_ms}ms")
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if result.files:
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print("\n Files containing 'class Agent':")
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for f in result.files[:5]:
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print(f" - {f.path} (relevance: {f.relevance_score:.2f})")
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# Example 3: Search for imports
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print("\n3. Search for Specific Imports")
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print("-" * 40)
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result = fc.search("from typing import")
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print(f" Query: 'from typing import'")
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print(f" Files found: {result.total_files}")
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print(f" Search time: {result.search_time_ms}ms")
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# Example 4: Get formatted context string
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print("\n4. Get Formatted Context for Agent")
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print("-" * 40)
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context = fc.get_context_for_agent("authentication", max_files=3)
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print(f" Context length: {len(context)} characters")
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print(f" Preview:")
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preview = context[:300].replace('\n', '\n ')
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print(f" {preview}...")
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print("\n" + "=" * 70)
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print("Fast Context provides rapid, parallel code search!")
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print("=" * 70)
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if __name__ == "__main__":
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main()
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