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Query generators for RAG query (#54)

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* Query generators for rag query

* use agent.inference_api instead of passing host/port again

* drop classes for functions

---------

Co-authored-by: Hardik Shah <hjshah@fb.com>
This commit is contained in:
Hardik Shah 2024-09-06 13:10:39 -07:00 • committed by GitHub
parent 406c3b24d4
commit 5de6ed946e
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3 changed files with 118 additions and 2 deletions
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39
llama_toolchain/agentic_system/api/api.py
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@ -116,10 +116,47 @@ MemoryBankConfig = Annotated[
]
@json_schema_type
class MemoryQueryGenerator(Enum):
default = "default"
llm = "llm"
custom = "custom"
class DefaultMemoryQueryGeneratorConfig(BaseModel):
type: Literal[MemoryQueryGenerator.default.value] = (
MemoryQueryGenerator.default.value
)
sep: str = " "
class LLMMemoryQueryGeneratorConfig(BaseModel):
type: Literal[MemoryQueryGenerator.llm.value] = MemoryQueryGenerator.llm.value
model: str
template: str
class CustomMemoryQueryGeneratorConfig(BaseModel):
type: Literal[MemoryQueryGenerator.custom.value] = MemoryQueryGenerator.custom.value
MemoryQueryGeneratorConfig = Annotated[
Union[
DefaultMemoryQueryGeneratorConfig,
LLMMemoryQueryGeneratorConfig,
CustomMemoryQueryGeneratorConfig,
],
Field(discriminator="type"),
]
class MemoryToolDefinition(ToolDefinitionCommon):
type: Literal[AgenticSystemTool.memory.value] = AgenticSystemTool.memory.value
memory_bank_configs: List[MemoryBankConfig] = Field(default_factory=list)
# This config defines how a query is generated using the messages
# for memory bank retrieval.
query_generator_config: MemoryQueryGeneratorConfig = Field(
default=DefaultMemoryQueryGeneratorConfig()
)
max_tokens_in_context: int = 4096
max_chunks: int = 10