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lemony-ai
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docs(skills) + fix(agent): Claude Code / Codex skill + make cascadeflow.agent callable as decorator
Tests
#700:
Pull request
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docs(skills) + fix(agent): Claude Code / Codex skill + make cascadeflow.agent callable as decorator
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docs(skills) + fix(agent): Claude Code / Codex skill + make cascadeflow.agent callable as decorator
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docs(skills) + fix(agent): Claude Code / Codex skill + make cascadeflow.agent callable as decorator
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#697:
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docs/add-claude-code-codex-skill
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docs(skills) + fix(agent): Claude Code / Codex skill + make cascadeflow.agent callable as decorator
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#696:
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docs/add-claude-code-codex-skill
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style: add icons for OpenAI Agents, CrewAI, and PydanticAI in README …
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chore: remove benchmark suite and benchmarking guide from main
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fix(lint): remove unused imports and bare f-strings in PydanticAI int…
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fix(test): use >= 0 for latency_ms assertion on Windows
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style: apply Black formatting to PydanticAI integration
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chore: bump version to 1.2.0
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feat(integrations): add full cascade PydanticAI Model integration (#179)
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feat(integrations): add full cascade PydanticAI Model integration
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feat/pydantic-ai-integration
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fix: expose agent module via cascadeflow.agent attribute
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fix(docs): use valid compliance presets in litellm comparison (#175)
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fix(docs): use valid compliance presets in litellm comparison
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#681:
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fix/docs-compliance-values
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docs: add cascadeflow vs LiteLLM comparison (#174)
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#680:
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docs: add cascadeflow vs LiteLLM comparison
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docs: add cascadeflow vs LiteLLM comparison
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docs: add cascadeflow vs LiteLLM comparison
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docs: add cascadeflow vs LiteLLM comparison
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#676:
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chore: benchmark routing + tool-call validation
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feat(openclaw): add opt-in harness mode flags and docs (#173)
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style: apply Black formatting to simulate.py and trace_simulation.py
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feat(openclaw): add opt-in harness mode toggle for provider server
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#672:
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6m 16s
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