mirror of
https://github.com/infiniflow/ragflow.git
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### Summary 1. merge heartbeat function. 2. introduce all environments --------- Signed-off-by: Jin Hai <haijin.chn@gmail.com>
463 lines
15 KiB
Go
463 lines
15 KiB
Go
//
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// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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package tool
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import (
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"context"
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"encoding/json"
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"fmt"
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"net/http"
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"ragflow/internal/common"
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"strings"
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"github.com/cloudwego/eino/components/tool"
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"github.com/cloudwego/eino/schema"
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)
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const tavilyToolName = "tavily"
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const tavilyExtractToolName = "tavily_extract"
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const tavilyToolDescription = "Search the web via the Tavily API. Returns a list of {url, title, content} results."
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// tavilyParams is the JSON shape the model sends into InvokableRun. The
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// api_key may be omitted when the env var TAVILY_API_KEY is set; the tool
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// resolves it from the environment in that case.
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type tavilyParams struct {
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APIKey string `json:"api_key"`
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Query string `json:"query"`
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MaxResults int `json:"max_results"`
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SearchDepth string `json:"search_depth"`
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Topic string `json:"topic"`
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Days int `json:"days"`
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IncludeAnswer bool `json:"include_answer"`
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IncludeRawContent bool `json:"include_raw_content"`
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IncludeImages bool `json:"include_images"`
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IncludeImageDescriptions bool `json:"include_image_descriptions"`
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IncludeDomains []string `json:"include_domains"`
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ExcludeDomains []string `json:"exclude_domains"`
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}
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// tavilyRequestBody is the JSON body POSTed to the Tavily /search endpoint.
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// The struct matches the upstream API (https://docs.tavily.com).
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type tavilyRequestBody struct {
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Query string `json:"query"`
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MaxResults int `json:"max_results"`
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SearchDepth string `json:"search_depth"`
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Topic string `json:"topic,omitempty"`
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Days int `json:"days"`
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IncludeAnswer bool `json:"include_answer"`
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IncludeRawContent bool `json:"include_raw_content"`
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IncludeImages bool `json:"include_images"`
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IncludeImageDescriptions bool `json:"include_image_descriptions"`
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IncludeDomains []string `json:"include_domains,omitempty"`
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ExcludeDomains []string `json:"exclude_domains,omitempty"`
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}
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// tavilyResult mirrors one element of the upstream `results` array. We
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// return these verbatim to the model.
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type tavilyResult struct {
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URL string `json:"url"`
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Title string `json:"title"`
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Content string `json:"content"`
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RawContent string `json:"raw_content,omitempty"`
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Score float64 `json:"score,omitempty"`
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}
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// tavilyResponse is the envelope returned by Tavily. We only model the
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// fields we care about; the upstream API has more, but they are ignored.
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type tavilyResponse struct {
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Results []tavilyResult `json:"results"`
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}
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// tavilyEnvelope is the shape the model actually sees, identical to the
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// Python tool's output convention.
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type tavilyEnvelope struct {
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Results []tavilyResult `json:"results"`
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Error string `json:"_ERROR,omitempty"`
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}
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type tavilyExtractParams struct {
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APIKey string `json:"api_key"`
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URLs any `json:"urls"`
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ExtractDepth string `json:"extract_depth"`
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Format string `json:"format"`
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}
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type tavilyExtractRequestBody struct {
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URLs []string `json:"urls"`
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ExtractDepth string `json:"extract_depth"`
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Format string `json:"format"`
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IncludeImages bool `json:"include_images"`
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}
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type tavilyExtractResult struct {
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URL string `json:"url"`
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RawContent string `json:"raw_content,omitempty"`
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Content string `json:"content,omitempty"`
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Error string `json:"error,omitempty"`
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}
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type tavilyExtractResponse struct {
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Results []tavilyExtractResult `json:"results"`
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}
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type tavilyExtractEnvelope struct {
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Results []tavilyExtractResult `json:"results"`
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Error string `json:"_ERROR,omitempty"`
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}
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// TavilyTool is the Tavily search
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// tool. It POSTs a search request
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// to https://api.tavily.com/search using the shared HTTPHelper and returns
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// the upstream `results` array as JSON.
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type TavilyTool struct {
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helper *HTTPHelper
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envKey func() string
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}
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// TavilyExtractTool is the Tavily Extract tool. It POSTs URLs to
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// https://api.tavily.com/extract and returns the upstream results array.
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type TavilyExtractTool struct {
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helper *HTTPHelper
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envKey func() string
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}
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// NewTavilyTool returns a TavilyTool using the default HTTPHelper and
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// the TAVILY_API_KEY env var for credential resolution.
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func NewTavilyTool() *TavilyTool {
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return NewTavilyToolWith(NewHTTPHelper())
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}
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// NewTavilyToolWith returns a TavilyTool that uses the provided
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// HTTPHelper. Useful for tests that want to inject a custom transport.
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func NewTavilyToolWith(h *HTTPHelper) *TavilyTool {
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if h == nil {
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h = NewHTTPHelper()
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}
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return &TavilyTool{helper: h, envKey: defaultTavilyEnvKey}
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}
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// NewTavilyToolWithEnvKey returns a TavilyTool with a custom env-key
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// resolver. Useful for tests that want to inject a fake credential
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// without mutating process state.
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func NewTavilyToolWithEnvKey(h *HTTPHelper, envKey func() string) *TavilyTool {
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if h == nil {
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h = NewHTTPHelper()
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}
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if envKey == nil {
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envKey = defaultTavilyEnvKey
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}
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return &TavilyTool{helper: h, envKey: envKey}
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}
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// NewTavilyExtractTool returns a TavilyExtractTool using the default HTTPHelper.
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func NewTavilyExtractTool() *TavilyExtractTool {
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return NewTavilyExtractToolWith(NewHTTPHelper())
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}
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// NewTavilyExtractToolWith returns a TavilyExtractTool using the provided helper.
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func NewTavilyExtractToolWith(h *HTTPHelper) *TavilyExtractTool {
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if h == nil {
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h = NewHTTPHelper()
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}
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return &TavilyExtractTool{helper: h, envKey: defaultTavilyEnvKey}
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}
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// NewTavilyExtractToolWithEnvKey returns a TavilyExtractTool with a custom env-key resolver.
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func NewTavilyExtractToolWithEnvKey(h *HTTPHelper, envKey func() string) *TavilyExtractTool {
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if h == nil {
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h = NewHTTPHelper()
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}
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if envKey == nil {
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envKey = defaultTavilyEnvKey
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}
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return &TavilyExtractTool{helper: h, envKey: envKey}
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}
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// defaultTavilyEnvKey is the production env-key resolver. Pulled out
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// as a named function (not a var) so tests cannot accidentally
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// mutate it via package-var assignment.
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func defaultTavilyEnvKey() string { return common.GetEnv(common.EnvTavilyApiKey) }
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// Info returns the tool's metadata for the chat model.
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func (t *TavilyTool) Info(_ context.Context) (*schema.ToolInfo, error) {
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return &schema.ToolInfo{
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Name: tavilyToolName,
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Desc: tavilyToolDescription,
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ParamsOneOf: schema.NewParamsOneOfByParams(map[string]*schema.ParameterInfo{
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"query": {
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Type: schema.String,
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Desc: "Search query",
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Required: true,
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},
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"api_key": {
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Type: schema.String,
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Desc: "Tavily API key. Falls back to TAVILY_API_KEY env var.",
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Required: false,
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},
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"max_results": {
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Type: schema.Integer,
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Desc: "Maximum number of results to return. Defaults to 5.",
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Required: false,
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},
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"search_depth": {
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Type: schema.String,
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Desc: `Tavily search depth: "basic" (default) or "advanced".`,
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Required: false,
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},
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"topic": {
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Type: schema.String,
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Desc: `Search topic: "general" (default) or "news".`,
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Required: false,
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},
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"include_domains": {
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Type: schema.Array,
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Desc: "Domains that search results must include.",
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Required: false,
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},
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"exclude_domains": {
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Type: schema.Array,
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Desc: "Domains that search results must exclude.",
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Required: false,
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},
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}),
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}, nil
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}
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// Info returns the Tavily Extract tool metadata for the chat model.
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func (t *TavilyExtractTool) Info(_ context.Context) (*schema.ToolInfo, error) {
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return &schema.ToolInfo{
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Name: tavilyExtractToolName,
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Desc: "Extract web page content from one or more specified URLs using Tavily Extract.",
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ParamsOneOf: schema.NewParamsOneOfByParams(map[string]*schema.ParameterInfo{
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"urls": {
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Type: schema.Array,
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Desc: "The URLs to extract content from.",
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Required: true,
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},
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"extract_depth": {
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Type: schema.String,
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Desc: `Extraction depth: "basic" (default) or "advanced".`,
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Required: false,
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},
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"format": {
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Type: schema.String,
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Desc: `Output format: "markdown" (default) or "text".`,
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Required: false,
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},
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}),
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}, nil
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}
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// tavilyEndpoint is the Tavily /search URL. Exposed as a package var so
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// tests can substitute a httptest.Server URL. Tests must serialize
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// access with tavilyEndpointMu if running in parallel.
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var tavilyEndpoint = "https://api.tavily.com/search"
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// tavilyExtractEndpoint is the Tavily /extract URL. Exposed as a package var
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// so tests can substitute it through rewriteHostTransport.
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var tavilyExtractEndpoint = "https://api.tavily.com/extract"
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// InvokableRun performs the Tavily search. The api_key may come from the
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// argument or the TAVILY_API_KEY env var.
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func (t *TavilyTool) InvokableRun(ctx context.Context, argsJSON string, _ ...tool.Option) (string, error) {
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var p tavilyParams
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if err := json.Unmarshal([]byte(argsJSON), &p); err != nil {
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return tavilyErrJSON(fmt.Errorf("tavily: parse arguments: %w", err)),
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fmt.Errorf("tavily: parse arguments: %w", err)
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}
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if p.Query == "" {
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return tavilyErrJSON(fmt.Errorf("query is required")),
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fmt.Errorf("tavily: query is required")
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}
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if p.MaxResults <= 0 {
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p.MaxResults = 6
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}
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if p.SearchDepth == "" {
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p.SearchDepth = "basic"
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}
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apiKey := p.APIKey
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if apiKey == "" {
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apiKey = t.envKey()
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}
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if apiKey == "" {
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return tavilyErrJSON(fmt.Errorf("tavily: api_key is required (or set TAVILY_API_KEY)")),
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fmt.Errorf("tavily: api_key is required (or set TAVILY_API_KEY)")
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}
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body, _ := json.Marshal(tavilyRequestBody{
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Query: p.Query,
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MaxResults: p.MaxResults,
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SearchDepth: p.SearchDepth,
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Topic: defaultString(p.Topic, "general"),
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Days: p.Days,
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IncludeAnswer: p.IncludeAnswer,
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IncludeRawContent: false,
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IncludeImages: false,
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IncludeImageDescriptions: p.IncludeImageDescriptions,
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IncludeDomains: p.IncludeDomains,
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ExcludeDomains: p.ExcludeDomains,
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})
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resp, err := t.helper.Do(ctx,
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http.MethodPost, tavilyEndpoint, string(body), "application/json",
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map[string]string{"Authorization": "Bearer " + apiKey},
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)
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if err != nil {
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return tavilyErrJSON(err), err
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}
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defer resp.Body.Close()
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if resp.StatusCode < 200 || resp.StatusCode >= 300 {
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return tavilyErrJSON(fmt.Errorf("tavily: upstream returned %d", resp.StatusCode)),
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fmt.Errorf("tavily: upstream returned %d", resp.StatusCode)
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}
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var raw tavilyResponse
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if err := json.NewDecoder(resp.Body).Decode(&raw); err != nil {
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return tavilyErrJSON(fmt.Errorf("tavily: decode response: %w", err)),
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fmt.Errorf("tavily: decode response: %w", err)
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}
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return tavilyJSON(tavilyEnvelope{Results: raw.Results}), nil
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}
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// InvokableRun performs the Tavily Extract request. The api_key may come from
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// the argument or the TAVILY_API_KEY env var.
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func (t *TavilyExtractTool) InvokableRun(ctx context.Context, argsJSON string, _ ...tool.Option) (string, error) {
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var p tavilyExtractParams
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if err := json.Unmarshal([]byte(argsJSON), &p); err != nil {
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return tavilyExtractErrJSON(fmt.Errorf("tavily_extract: parse arguments: %w", err)),
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fmt.Errorf("tavily_extract: parse arguments: %w", err)
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}
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urls := normalizeTavilyURLs(p.URLs)
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if len(urls) == 0 {
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return tavilyExtractErrJSON(fmt.Errorf("urls is required")),
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fmt.Errorf("tavily_extract: urls is required")
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}
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if p.ExtractDepth == "" {
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p.ExtractDepth = "basic"
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}
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if p.Format == "" {
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p.Format = "markdown"
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}
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apiKey := p.APIKey
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if apiKey == "" {
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apiKey = t.envKey()
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}
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if apiKey == "" {
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return tavilyExtractErrJSON(fmt.Errorf("tavily_extract: api_key is required (or set TAVILY_API_KEY)")),
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fmt.Errorf("tavily_extract: api_key is required (or set TAVILY_API_KEY)")
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}
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body, _ := json.Marshal(tavilyExtractRequestBody{
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URLs: urls,
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ExtractDepth: p.ExtractDepth,
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Format: p.Format,
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IncludeImages: false,
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})
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resp, err := t.helper.Do(ctx,
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http.MethodPost, tavilyExtractEndpoint, string(body), "application/json",
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map[string]string{"Authorization": "Bearer " + apiKey},
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)
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if err != nil {
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return tavilyExtractErrJSON(err), err
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}
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defer resp.Body.Close()
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if resp.StatusCode < 200 || resp.StatusCode >= 300 {
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return tavilyExtractErrJSON(fmt.Errorf("tavily_extract: upstream returned %d", resp.StatusCode)),
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fmt.Errorf("tavily_extract: upstream returned %d", resp.StatusCode)
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}
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var raw tavilyExtractResponse
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if err := json.NewDecoder(resp.Body).Decode(&raw); err != nil {
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return tavilyExtractErrJSON(fmt.Errorf("tavily_extract: decode response: %w", err)),
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fmt.Errorf("tavily_extract: decode response: %w", err)
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}
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return tavilyExtractJSON(tavilyExtractEnvelope{Results: raw.Results}), nil
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}
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// tavilyJSON marshals the envelope to a JSON string for the model.
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func tavilyJSON(env tavilyEnvelope) string {
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b, err := json.Marshal(env)
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if err != nil {
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return fmt.Sprintf(`{"_ERROR":"tavily: marshal result: %s"}`, err)
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}
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return string(b)
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}
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// tavilyErrJSON wraps an error in the standard envelope.
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func tavilyErrJSON(err error) string {
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return tavilyJSON(tavilyEnvelope{Error: err.Error()})
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}
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func tavilyExtractJSON(env tavilyExtractEnvelope) string {
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b, err := json.Marshal(env)
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if err != nil {
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return fmt.Sprintf(`{"_ERROR":"tavily_extract: marshal result: %s"}`, err)
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}
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return string(b)
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}
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func tavilyExtractErrJSON(err error) string {
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return tavilyExtractJSON(tavilyExtractEnvelope{Error: err.Error()})
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}
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func normalizeTavilyURLs(raw any) []string {
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switch v := raw.(type) {
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case string:
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return splitTavilyURLs(v)
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case []string:
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return compactStrings(v)
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case []any:
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out := make([]string, 0, len(v))
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for _, item := range v {
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if s, ok := item.(string); ok {
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out = append(out, s)
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}
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}
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return compactStrings(out)
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default:
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return nil
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}
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}
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func splitTavilyURLs(s string) []string {
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parts := strings.Split(s, ",")
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return compactStrings(parts)
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}
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func compactStrings(in []string) []string {
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out := make([]string, 0, len(in))
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for _, s := range in {
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if trimmed := strings.TrimSpace(s); trimmed != "" {
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out = append(out, trimmed)
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}
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}
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return out
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}
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func defaultString(v, fallback string) string {
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if v == "" {
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return fallback
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}
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return v
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}
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