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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* chore(benchmarks): date README perf claim, archive superseded results, fix benchmark scripts, re-measure (fixes #5824) - Re-measured on a quiet runner: Agent instantiation median 20.3us (1.6.60) -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in one run - simple_benchmark.py: --save writes SIMPLE_BENCHMARK_RESULTS.md; README updater removed - Archive superseded result files with a 'Superseded' header - benchmark.yml: PR gate via simple_benchmark --json --fail-over-threshold; parse failures now fail instead of passing as 0; threshold 450 -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]>
73 lines
2.3 KiB
Python
73 lines
2.3 KiB
Python
"""
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Fast Context - Basic Example
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FastContext provides rapid code search capabilities.
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Use it directly from the context module for code search.
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FastContext provides:
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- Parallel execution (8 concurrent searches)
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- Automatic caching for repeated queries
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Note: FastContext is now accessed via the context module directly,
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not as Agent parameters. For context management with agents,
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use Agent(context=True) or Agent(context=ManagerConfig(...)).
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"""
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from praisonaiagents import Agent
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from praisonaiagents.context import ManagerConfig
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def main():
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print("=" * 60)
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print("Agent with Context Management - Basic Example")
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print("=" * 60)
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# Create an agent with context management enabled
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# This is the recommended way to use context features
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agent = Agent(
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name="CodeAssistant",
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instructions="You are a helpful code assistant.",
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context=True, # Enable context management with defaults
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)
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print("\n✓ Agent created with context management enabled")
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print(f" - context_manager: {agent.context_manager is not None}")
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if agent.context_manager:
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print(f" - auto_compact: {agent.context_manager.config.auto_compact}")
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print(f" - strategy: {agent.context_manager.config.strategy}")
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# For FastContext code search, use the module directly
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print("\n" + "-" * 60)
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print("Using FastContext for code search...")
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print("-" * 60)
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try:
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from praisonaiagents.context.fast import FastContext
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fc = FastContext(
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workspace_path=".",
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model="gpt-4o-mini",
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max_turns=4,
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max_parallel=8,
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)
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result = fc.search("class Agent")
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print(f"\n✓ Search for '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.total_files > 0:
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context = fc.get_context_for_agent("class Agent")
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print(f" Context length: {len(context)} characters")
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except ImportError:
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print("\n⚠ FastContext not available (optional feature)")
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except Exception as e:
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print(f"\n⚠ FastContext search failed: {e}")
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print("\n" + "=" * 60)
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print("Context management is now unified via context= param!")
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print("=" * 60)
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if __name__ == "__main__":
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main()
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