Functions — github.com/SqueezeAILab/TinyAgent

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Functions338 in github.com/SqueezeAILab/TinyAgent

⨍ Functions 338◇ Types & classes 74 ↳ Endpoints 4

Method__init__

( self, llm: BaseLLM, config: ModelConfig, custom_instructions: str | None,

src/tiny_agent/sub_agents/sub_agent.py:20

Method__init__

( self, embedding_model: ( AzureOpenAIEmbeddings | OpenAIEmbeddings | HuggingFaceE

src/tiny_agent/tool_rag/classifier_tool_rag.py:46

Method__init__

( self, embedding_model: ( AzureOpenAIEmbeddings | OpenAIEmbeddings | HuggingFaceE

src/tiny_agent/tool_rag/base_tool_rag.py:46

Method__init__

( self, embedding_model: ( AzureOpenAIEmbeddings | OpenAIEmbeddings | HuggingFaceE

src/tiny_agent/tool_rag/simple_tool_rag.py:12

Method_acall

( self, inputs: Dict[str, Any], run_manager: Optional[AsyncCallbackManagerForChainRun]

src/llm_compiler/llm_compiler.py:243

Method_acall

Run text through and get agent response.

src/executors/agent_executor.py:486

Method_acall

( self, inputs: Dict[str, Any], run_manager: Optional[AsyncCallbackManagerForChainRun]

src/chains/llm_chain.py:281

Method_agent_type

Return Identifier of agent type.

src/agents/agent.py:56

Method_agent_type

(self)

src/agents/structured_chat_agent.py:143

Method_aperform_agent_action

( agent_action: AgentAction, )

src/executors/agent_executor.py:394

Method_arun

Use the tool asynchronously.

src/tools/base.py:163

Method_arun

Use the tool asynchronously.

src/tools/base.py:279

Method_arun

( self, query: str, run_manager: Optional[AsyncCallbackManagerForToolRun] = None,

src/executors/agent_executor.py:48

Method_arun

Use the tool asynchronously.

src/agents/tools.py:31

Method_call

( self, inputs: Dict[str, Any], run_manager: Optional[CallbackManagerForChainRun] = No

src/llm_compiler/llm_compiler.py:236

Method_call

Run text through and get agent response.

src/executors/agent_executor.py:438

Method_call

( self, inputs: Dict[str, Any], run_manager: Optional[CallbackManagerForChainRun] = No

src/chains/llm_chain.py:94

Method_chain_type

(self)

src/chains/chain.py:137

Method_chain_type

(self)

src/chains/llm_chain.py:385

Method_construct_scratchpad

( self, intermediate_steps: List[Tuple[AgentAction, str]] )

src/agents/structured_chat_agent.py:44

Method_fix_text

Fix the text.

src/agents/agent.py:78

Function_make_tool

(dec_func: Callable)

src/tools/base.py:413

Function_partial

(func: Callable[[str], str])

src/tools/base.py:458

Method_run

Use the tool.

src/tools/base.py:143

Method_run

Use the tool.

src/tools/base.py:259

Method_run

( self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None, )

src/executors/agent_executor.py:41

Method_run

Use the tool.

src/agents/tools.py:18

Method_run_output_key

(self)

src/chains/chain.py:435

Method_run_output_key

(self)

src/chains/llm_chain.py:264

Method_stop

(self)

src/agents/agent.py:83

Method_stop

(self)

src/agents/structured_chat_agent.py:70

Method_to_args_and_kwargs

Convert tool input to pydantic model.

src/tools/base.py:131

Methodaapply_and_parse

Call apply and then parse the results.

src/chains/llm_chain.py:373

Methodainvoke

( self, input: Union[str, Dict], config: Optional[RunnableConfig] = None, **kw

src/tools/base.py:238

Methodainvoke

( self, input: Dict[str, Any], config: Optional[RunnableConfig] = None, **kwar

src/chains/chain.py:78

Functionappend_note_content

(name: str, content: str, folder: str)

src/tiny_agent/tiny_agent_tools.py:509

Methodapply

Call the chain on all inputs in the list.

src/chains/chain.py:644

Methodapply_and_parse

Call apply and then parse the results.

src/chains/llm_chain.py:351

Methodapredict_and_parse

Call apredict and then parse the results.

src/chains/llm_chain.py:337

Methodargs

The tool's input arguments.

src/tools/base.py:123

Methodargs

The tool's input arguments.

src/tools/base.py:255

Methodarun

(self, query: str)

src/tiny_agent/tiny_agent.py:129

Functionbuild_graph

(plan: list[PlanStep])

src/utils/graph_utils.py:18

Methodcached_summary_result

(self)

src/tiny_agent/sub_agents/pdf_summarizer_agent.py:13

Functioncompare_graphs_with_edit_distance

Calculates the graph edit distance between two graphs.

src/utils/graph_utils.py:138

Functioncompare_graphs_with_success_rate

Ouputs 1.0 if the graphs are isomorphic, 0.0 otherwise.

src/utils/graph_utils.py:131

Functioncompose_new_email

( recipients: list[str], cc: list[str], subject: str, context: str, at

src/tiny_agent/tiny_agent_tools.py:244

Functioncreate_calendar_event

( title: str, start_date: str, end_date: str, location: str, invitees:

src/tiny_agent/tiny_agent_tools.py:119

Functioncreate_new_note

(name: str, content: str, folder: str)

src/tiny_agent/tiny_agent_tools.py:462

Functioncreate_reminder

( name: str, due_date: str, notes: str, list_name: str, priority: int,

src/tiny_agent/tiny_agent_tools.py:542

Functioncustom_http_exception_handler

Custom error handling for logging the errors to the TinyAgent log file.

run_tiny_agent_server.py:52

Functionevaluate_join

Returns 1.0 if the predicted join step is correct, else 0.0.

src/utils/plan_utils.py:128

Functionevaluate_plan

Returns the accuracy of the predicted plan based on the tool names and the right ordering.

src/utils/plan_utils.py:103

Functionevaluate_tool_recall

Instead of determining the score based on the correct function call in the plan, determines the score based on the correct set of function ca

src/utils/plan_utils.py:113

Functionexecute_command

This is the main endpoint that calls the TinyAgent to generate a response to the given query.

run_tiny_agent_server.py:61

Methodfind_and_select_first_email_from

Finds and selects an email in Mail based on the sender's name.

src/tiny_agent/tools/mail.py:162

Functionflush_results

(save_path, results)

src/utils/logger_utils.py:92

Functionforward_email

( recipients: list[str], cc: list[str], context: str, attachments: list[str],

src/tiny_agent/tiny_agent_tools.py:357

Methodfrom_agent_and_tools

Create from agent and tools.

src/executors/agent_executor.py:103

Methodfrom_function

Create tool from a given function. A classmethod that helps to create a tool from a function. Args: func: The function f

src/tools/base.py:307

Methodfrom_llm_and_tools

Construct an agent from an LLM and tools.

src/agents/agent.py:217

Methodfrom_llm_and_tools

Construct an agent from an LLM and tools.

src/agents/structured_chat_agent.py:103

Methodfrom_string

Create LLMChain from LLM and template.

src/chains/llm_chain.py:389

Methodget_all_stats

(self)

src/llm_compiler/llm_compiler.py:120

Functionget_email_address

(name: str)

src/tiny_agent/tiny_agent_tools.py:94

Functionget_logger

()

src/utils/logger_utils.py:56

Functionget_parsed_joinner_output

(raw_answer: str)

src/utils/plan_utils.py:82

Functionget_parsed_planner_output_from_raw

(raw_answer: str)

src/utils/plan_utils.py:77

Functionget_phone_number

(name: str)

src/tiny_agent/tiny_agent_tools.py:65

Methodget_results

(self, key: str)

src/utils/logger_utils.py:41

Methodget_stats

(self)

src/callbacks/callbacks.py:93

Functionget_voice_transcription

This endpoint call whisper to get voice transcription. It takes in bytes of audio returns the transcription in plain text.

run_tiny_agent_server.py:125

Functionget_zoom_meeting_link

( topic: str, start_time: str, duration: int, meeting_invitees: list[str],

src/tiny_agent/tiny_agent_tools.py:628

Functioninitialize_data_objects

(json_path: str)

src/utils/data_utils.py:165

Methodinput_keys

(self)

src/llm_compiler/llm_compiler.py:138

Methodinput_keys

Return the input keys. :meta private:

src/executors/agent_executor.py:177

Methodinput_keys

Keys expected to be in the chain input.

src/chains/chain.py:170

Methodinput_keys

Will be whatever keys the prompt expects. :meta private:

src/chains/llm_chain.py:76

Methodinput_keys

Return the input keys. :meta private:

src/agents/agent.py:171

Methodinvoke

( self, input: Dict[str, Any], config: Optional[RunnableConfig] = None, **kwar

src/chains/chain.py:62

Methoditer

Enables iteration over steps taken to reach final output.

src/executors/agent_executor.py:158

Methodlc_serializable

(self)

src/chains/llm_chain.py:52

Methodllm_prefix

Prefix to append the LLM call with.

src/agents/agent.py:203

Methodllm_prefix

Prefix to append the llm call with.

src/agents/structured_chat_agent.py:40

Methodlog

(self, latency: float, answer: str, label: str, key: str)

src/utils/logger_utils.py:27

Methodlookup_tool

Lookup tool by name.

src/executors/agent_executor.py:195

Functionmaps_open_location

(location: str)

src/tiny_agent/tiny_agent_tools.py:404

Functionmaps_show_directions

( start_location: str, end_location: str, transport: str )

src/tiny_agent/tiny_agent_tools.py:421

Methodobservation_prefix

Prefix to append the observation with.

src/agents/agent.py:198

Methodobservation_prefix

Prefix to append the observation with.

src/agents/structured_chat_agent.py:35

Methodon_chat_model_start

(self, serialized, prompts, **kwargs)

src/callbacks/callbacks.py:19

Methodon_chat_model_start

(self, serialized, prompts, **kwargs)

src/callbacks/callbacks.py:60

Methodon_llm_end

( self, response: LLMResult, *, run_id: UUID, parent_run_id: Optional[

src/llm_compiler/planner.py:210

Methodon_llm_end

(self, response, *args, **kwargs)

src/callbacks/callbacks.py:22

Methodon_llm_end

(self, response, *args, **kwargs)

src/callbacks/callbacks.py:76

Methodon_llm_error

( self, error: BaseException, *, run_id: UUID, parent_run_id: Optional

src/llm_compiler/planner.py:224

Methodon_llm_new_token

( self, token: str, *, run_id: UUID, parent_run_id: Optional[UUID] = N

src/llm_compiler/planner.py:177

Methodon_llm_new_token

(self, token, *args, **kwargs)

src/callbacks/callbacks.py:69

Methodon_llm_start

Run when LLM starts running.

src/llm_compiler/planner.py:174

Functionopen_and_get_file_path

(file_name: str)

src/tiny_agent/tiny_agent_tools.py:195

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